FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Gawel, E
   Lehmann, P
   Strunz, S
   Heuson, C
AF Gawel, Erik
   Lehmann, Paul
   Strunz, Sebastian
   Heuson, Clemens
TI Public Choice barriers to efficient climate adaptation - theoretical
   insights and lessons learned from German flood disasters
SO JOURNAL OF INSTITUTIONAL ECONOMICS
LA English
DT Article
ID POLITICAL-ECONOMY; FRAMEWORK; KATRINA
AB In this paper, we take a Public Choice perspective to identify and categorise barriers to efficient public climate adaptation. Specifically, we distinguish three dimensions of public adaptation: extent, structure (form and timing) and organisation (coordination across territorial authorities and policy fields). Within each of these dimensions, we investigate how the self-interest of voters, pressure groups, bureaucrats and politicians may bias adaptation decisions. Thus, we indicate specific barriers to efficient public adaptation. Based on this framework, we illustrate how Germany's response to major flood disasters reflects the incentive structure of concerned stakeholders and their political interaction. The ad hoc character of some public adaptation measures implies a clear bias from the efficient benchmark. In conclusion, we argue that the propositions of Public Choice theory shed some light on how empirical public adaptation processes unfold.
C1 [Gawel, Erik; Lehmann, Paul; Strunz, Sebastian; Heuson, Clemens] UFZ Helmholtz Ctr Environm Res, Dept Econ, Leipzig, Germany.
   [Gawel, Erik] Univ Leipzig, Leipzig, Germany.
   [Lehmann, Paul] Univ Oxford, Inst New Econ Thinking, Oxford, England.
C3 Helmholtz Association; Helmholtz Center for Environmental Research
   (UFZ); Leipzig University; University of Oxford
RP Gawel, E (corresponding author), UFZ Helmholtz Ctr Environm Res, Dept Econ, Leipzig, Germany.; Gawel, E (corresponding author), Univ Leipzig, Leipzig, Germany.
EM erik.gawel@ufz.de; paul.lehmann@ufz.de; sebastian.strunz@ufz.de;
   c.heuson@gmx.de
RI Gawel, Erik/G-8130-2015; Lehmann, Paul/F-8207-2013; Strunz,
   Sebastian/N-3555-2015
OI Lehmann, Paul/0000-0001-7999-9125
CR ALESINA A, 1991, AM ECON REV, V81, P1170
   [Anonymous], 2007, Q J EC
   [Anonymous], 2001, CONTRIBUTION WORKING
   [Anonymous], FUNDAMENTAL QUESTION
   [Anonymous], 100 FLOOD PROTECTION
   [Anonymous], 2003, PUBLIC CHOICE
   [Anonymous], OFFENTLICHE FINANZEN
   Anthony Downs., 1957, An economic theory of democracy
   Bechtel MM, 2011, AM J POLIT SCI, V55, P851, DOI 10.1111/j.1540-5907.2011.00533.x
   Beck S., 2011, SYNERGIEN KONFLIKTE
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Browne MJ, 2000, J RISK UNCERTAINTY, V20, P291, DOI 10.1023/A:1007823631497
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bundesministerium des Innern (BMI), 2013, BER FLUTK 2013 KAT E
   Bundestag, 1997, UNT BUND ABSCHL HOCH
   Citlak B., 2001, PRIVATE VERSICHERUNG, P97
   Congleton RD, 2006, PUBLIC CHOICE, V127, P5, DOI 10.1007/s11127-006-7729-9
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Dari-Mattiacci G, 2015, LAW POLICY, V37, P180, DOI 10.1111/lapo.12036
   Deutsche Ruck, 2006, STURMD DEUTSCHL 2006
   Deutsche Ruck, 2010, STURMD DEUTSCHL 2010
   Deutsche Ruck, 2004, STURM DEUTSCHL 1997
   *DKKV, 2003, HOCHW DEUTSCHL LERN
   DKKV, 2013, HOCHW JUN 2013
   Drazen A., 2001, ECON POLIT-OXFORD, V13, P129
   Edelman Murray., 1964, SYMBOLIC USES POLITI
   Eisenack K, 2012, MITIG ADAPT STRAT GL, V17, P243, DOI 10.1007/s11027-011-9323-9
   Falaleeva M, 2011, MAR POLICY, V35, P784, DOI 10.1016/j.marpol.2011.01.005
   Fidrmuc J, 2013, ECON SYST, V37, P542, DOI 10.1016/j.ecosys.2013.03.002
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Fussel H., 2004, Conceptual Frameworks of Adaptation to Climate Change and their Application to Human Health
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Gorg C., 2009, 012009 UFZ HELM CTR
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Inman RobertP., 1997, Perspectives on Public Choice: A Handbook, P73
   Jahberg H., 2014, STREIT ZWANGSPOLICEN
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   KRUEGER AO, 1974, AM ECON REV, V64, P291
   Kuhlicke C., 2007, GAIA, V15, P265
   Kunreuther H, 2004, J RISK UNCERTAINTY, V28, P5, DOI 10.1023/B:RISK.0000009433.25126.87
   Lebel L, 2011, REG ENVIRON CHANGE, V11, P45, DOI 10.1007/s10113-010-0118-4
   Lehmann P, 2015, MITIG ADAPT STRAT GL, V20, P75, DOI 10.1007/s11027-013-9480-0
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meyer V, 2012, NAT HAZARDS, V62, P301, DOI 10.1007/s11069-011-9997-z
   Michaelowa A., 2001, Mitigation versus Adaptation: The Political Economy of Competition between Climate Policy and the Consequences for Developing Countries
   Michaelowa A, 2011, WORLD DEV, V39, P2010, DOI 10.1016/j.worlddev.2011.07.020
   Mickwitz P., 2009, Climate policy integration, coherence and governance
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Musgrave R. A., 1959, THEORY PUBLIC FINANC
   Niskanen WA, 1971, BUREAUCRACY REPRESEN
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Oates Wallace., 1972, Fiscal Federalism
   Oberlack C, 2017, MITIG ADAPT STRAT GL, V22, P805, DOI 10.1007/s11027-015-9699-z
   OLSON M, 1969, AM ECON REV, V59, P479
   Olson Mancur., 1971, The Logic of Collective Action: Public Goods and the Theory of Groups, with a new preface and appendix
   Osberghaus D., 2014, WIRTSCHAFTSDIENST, V94, P583, DOI [10.1007/s10273-014-1718-2, DOI 10.1007/S10273-014-1718-2]
   Osberghaus D, 2015, ECOL ECON, V110, P36, DOI 10.1016/j.ecolecon.2014.12.010
   Osberghaus D, 2010, ENVIRON PLANN C, V28, P834, DOI 10.1068/c09179j
   PELTZMAN S, 1976, J LAW ECON, V19, P211, DOI 10.1086/466865
   Penning-Rowsell E, 2006, GLOBAL ENVIRON CHANG, V16, P323, DOI 10.1016/j.gloenvcha.2006.01.006
   Porrini D, 2014, EUR J LAW ECON, V38, P7, DOI 10.1007/s10657-012-9376-6
   Raschky P.A., 2007, Environ. Hazards, V7, P321
   Raschky PA, 2013, ENVIRON RESOUR ECON, V54, P179, DOI 10.1007/s10640-012-9586-y
   Reese M., 2011, NATUR RECHT, V33, P19, DOI [10.1007/s10357-010-1999-1, DOI 10.1007/S10357-010-1999-1]
   ROGOFF K, 1990, AM ECON REV, V80, P21
   Runhaar H, 2012, REG ENVIRON CHANGE, V12, P777, DOI 10.1007/s10113-012-0292-7
   SaSK, 2011, WIED FREIST SACHS NA
   Schanze J., 2008, Systematisation, Evaluation and Context Conditions of Structural and Non-Structural Measures for Flood Risk Reduction
   Schmidt H.-J., 2013, IST TSCHECHIENS EGOI
   Schwarze Reimund, 2007, European Environment, V17, P403, DOI 10.1002/eet.456
   Shughart WF, 2006, PUBLIC CHOICE, V127, P31, DOI 10.1007/s11127-006-7731-2
   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]
   SMUL, 2014, MED SACHS IST BEI HO
   SMUL, 2014, ANTW KLEIN ANFR FIN
   Sobel RS, 2006, PUBLIC CHOICE, V127, P55, DOI 10.1007/s11127-006-7730-3
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   STIGLER GJ, 1971, BELL J ECON, V2, P3, DOI 10.2307/3003160
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   UBA, 2011, HOCHW VERST ERK HAND
   UNDP UNEP, 2011, MAINSTR CLIM CHANG A
   VAUBEL R, 1994, PUBLIC CHOICE, V81, P151, DOI 10.1007/BF01053271
   Watkiss P, 2015, CLIMATIC CHANGE, V132, P401, DOI 10.1007/s10584-014-1250-9
   WYCKOFF PG, 1990, PUBLIC CHOICE, V67, P35, DOI 10.1007/BF01890155
   Yohe GW, 2001, CLIMATIC CHANGE, V49, P247, DOI 10.1023/A:1010677916703
NR 85
TC 5
Z9 6
U1 1
U2 8
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 1744-1374
EI 1744-1382
J9 J I ECON
JI J. Inst. Econ.
PD JUN
PY 2018
VL 14
IS 3
SI SI
BP 473
EP 499
DI 10.1017/S1744137416000163
PG 27
WC Economics
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA GI3QQ
UT WOS:000434286600004
OA Bronze
DA 2025-01-10
ER

PT B
AU Pittock, J
AF Pittock, Jamie
BE Garrick, D
   Anderson, GRM
   Connell, D
   Pittock, J
TI Federal Rivers Managing Water in Multi-Layered Political Systems Climate
   adaptation in river management in a post-stationary world
SO FEDERAL RIVERS: MANAGING WATER IN MULTI-LAYERED POLITICAL SYSTEMS
LA English
DT Editorial Material; Book Chapter
ID MURRAY-DARLING BASIN; BIODIVERSITY; ERA; RESTORATION; COUNTRY; THREATS;
   LIMITS
C1 Australian Natl Univ, Canberra, ACT 0200, Australia.
C3 Australian National University
RP Pittock, J (corresponding author), Australian Natl Univ, Canberra, ACT 0200, Australia.
RI Pittock, Jamie/N-1541-2018
CR Aldous A, 2011, MAR FRESHWATER RES, V62, P223, DOI 10.1071/MF09285
   [Anonymous], 2006, MDBC Publication
   [Anonymous], 2005, Ecosystems and human well-being, V5
   [Anonymous], 2011, WAT TRAD DAT RES
   [Anonymous], 2008, WORLD LEAD SIGN BRIS
   [Anonymous], 2008, REPORT AUSTR GOVT CS
   Arnell NW, 2004, GLOBAL ENVIRON CHANG, V14, P31, DOI 10.1016/j.gloenvcha.2003.10.006
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Carter N.T., 2011, Energy's Water Demand: Trends, Vulnerabilities, and Management
   Connell D, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009820
   Connell Daniel., 2007, Water Politics in the Murray-Darling Basin
   Connor R., 2004, I CHANGE SUSTAINABLE
   Davies PM, 2010, RESTOR ECOL, V18, P261, DOI 10.1111/j.1526-100X.2009.00648.x
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Ebert S, 2009, CLIM DEV, V1, P212, DOI 10.3763/cdev.2009.0022
   Barrios JE, 2009, CLIM DEV, V1, P249, DOI 10.3763/cdev.2009.0024
   Falkenmark M, 2008, INT J WATER RESOUR D, V24, P201, DOI 10.1080/07900620701723570
   Garrick D, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0415
   Garrick D, 2012, WATER POLICY, V14, P915, DOI 10.2166/wp.2012.120
   Gleick PH, 2002, NATURE, V418, P373, DOI 10.1038/418373a
   Goulden M, 2009, HYDROLOG SCI J, V54, P805, DOI 10.1623/hysj.54.5.805
   Grafton RQ, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P245
   Grafton RQ, 2011, REV ENV ECON POLICY, V5, P219, DOI 10.1093/reep/rer002
   Gross C., 2012, NCCARF PUBLICATION, V06/12
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Herron N, 2002, J ENVIRON MANAGE, V65, P369, DOI 10.1016/S0301-4797(02)90562-1
   Huitema D, 2010, ECOL SOC, V15
   Hussey K, 2012, ECOL SOC, V17, DOI 10.5751/ES-04641-170131
   Joy K. J., 2007, WATER CONFLICTS INDI
   Kabat Pavel., 2003, CLIMATE CHANGES WATE
   Loures F., 2008, EVERYTHING YOU NEED
   MDBA, 2012, CLIM CHANG BAS PLAN
   MDBA, 2010, GUID PROP BAS PLAN O
   MDBA, 2011, LIV MURR STOR ON AUS
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Minister for Sustainability E. Water Population and Communities, 2012, WAT ACT 2007
   Molle F, 2010, WATER ALTERN, V2, P328
   Nelson DR, 2011, WIRES CLIM CHANGE, V2, P113, DOI 10.1002/wcc.91
   Opperman JJ, 2009, SCIENCE, V326, P1487, DOI 10.1126/science.1178256
   Overton I., 2010, DISTILLED        MAR
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Pittock AB, 2009, CLIMATE CHANGE: THE SCIENCE, IMPACTS AND SOLUTIONS, 2ND EDITION, P1
   Pittock J, 2013, WIRES CLIM CHANGE, V4, P429, DOI 10.1002/wcc.230
   Pittock J, 2010, J INTEGR ENVIRON SCI, V7, P75, DOI 10.1080/19438151003603159
   Pittock J., 2013, UN WATERCOURSES CONV, P305
   Pittock J., I EFFECTIVE IN PRESS
   Pittock J, 2013, HYDROBIOLOGIA, V708, P111, DOI 10.1007/s10750-012-1292-9
   Pittock J, 2010, ENVIRON PLAN LAW J, V27
   Pittock J, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P39
   Pittock J, 2011, ECOL SOC, V16
   Pittock J, 2011, MAR FRESHWATER RES, V62, P312, DOI 10.1071/MF09302
   Pittock J, 2011, MAR FRESHWATER RES, V62, P232, DOI 10.1071/MF09319
   Pittock J, 2010, INT J WATER RESOUR D, V26, P561, DOI 10.1080/07900627.2010.519522
   Pittock J, 2009, CLIM DEV, V1, P194, DOI 10.3763/cdev.2009.0021
   Pittock Jamie, 2008, Biodiversity (Ottawa), V9, P30
   Pittock Jamie., 2010, Climate Law, P343, DOI [10.3233/CL-2010-017, DOI 10.3233/CL-2010-017]
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Reisner Marc., 1986, CADILLAC DESERT, DOI DOI 10.1057/S42214-018-0001-4
   Richter B. D., 2010, Water Alternatives, V3, P14
   Rieu-Clarke Alistair., 2009, The Review of European Comparative International Environmental Law, V18, P185, DOI DOI 10.1111/J.1467-9388.2009.00640.-X
   Robins L, 2011, AUSTRALAS J ENV MAN, V18, P88, DOI 10.1080/14486563.2011.566158
   Schofield N, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P81
   Tarlock A. D., 1999, J LAND USE ENV LAW, V15, P423
   TNC, 2007, WORLD LEAD SIGN BRIS
   Turnpenny J, 2009, ENVIRON SCI POLICY, V12, P347, DOI 10.1016/j.envsci.2009.01.004
   UNEP, 2007, PROGR PRESS LTD, V36, P337
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Watts RJ, 2011, MAR FRESHWATER RES, V62, P321, DOI 10.1071/MF10047
   WGCS, 2010, SUST DIV MURR DARL B
   WGCS, 2012, DOES 3200GL RED EXTR
   Wolf AaronT., 2005, State of the World 2005: Redefining Global Security, P80
   WWDR, 2012, 4 WWDR UNESCO
   Young M. D., 2010, SUSTAINABLE MANAGEME
   Young W J., 2011, Science review of the estimation of an environmentally sustainable level of take for the Murray-Darling basin
NR 77
TC 0
Z9 0
U1 0
U2 7
PU EDWARD ELGAR PUBLISHING LTD
PI CHELTENHAM
PA GLENSANDA HOUSE, MONTPELLIER PARADE, CHELTENHAM GL50 1UA, GLOS, ENGLAND
BN 978-1-78195-505-5; 978-1-78195-504-8
PY 2014
BP 20
EP 38
PG 19
WC Environmental Studies; Political Science
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Environmental Sciences & Ecology; Government & Law
GA BA1WG
UT WOS:000333144900003
DA 2025-01-10
ER

PT J
AU Verkerk, J
   Teisman, G
   Van Buuren, A
AF Verkerk, Jitske
   Teisman, Geert
   Van Buuren, Arwin
TI Synchronising climate adaptation processes in a multilevel governance
   setting: exploring synchronisation of governance levels in the Dutch
   Delta
SO POLICY AND POLITICS
LA English
DT Article
DE multilevel governance; synchronisation; climate adaptation complex
   governance systems
ID DECISION-MAKING; COMPLEXITY; ORGANIZATION; PERSPECTIVE; CAPACITY;
   POLITICS; SCALE
AB In this paper we argue that effective climate adaptation depends on the ability of actors on various levels to achieve a multilevel governance process in which their distinct activities result in a coherent adaptation strategy. The classic government's capacity to coordinate such complex processes has proved limited. Therefore we explore the notion of synchronisation - the ability of actors to connect governance processes that all have their own development, logic and self-organising dynamics. With a theoretical conceptualisation and a case study, we analyse whether and how the concept of synchronisation helps to understand the self-organising coordinative capacity within multilevel governance processes.
C1 [Verkerk, Jitske; Teisman, Geert; Van Buuren, Arwin] Erasmus Univ, NL-3000 DR Rotterdam, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC
RP Verkerk, J (corresponding author), Erasmus Univ, NL-3000 DR Rotterdam, Netherlands.
EM verkerk@fsw.eur.nl; teisman@fsw.eur.nl; vanbuuren@fsw.eur.nl
RI Teisman, Geert/Q-3488-2019; van Buuren, Arwin/I-6240-2013
OI van Buuren, Arwin/0000-0002-8504-0495
CR Adger WN, 2005, ECOL SOC, V10
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alford J.R., 2004, Perspectives on Politics, V2, P707, DOI [10.1017/S1537592704040460, DOI 10.1017/S1537592704040460]
   Anderson P, 1999, ORGAN SCI, V10, P216, DOI 10.1287/orsc.10.3.216
   [Anonymous], WERK DELT MAATR NU V
   [Anonymous], I SUSTAINABILITY
   [Anonymous], KRACHT ZWERM ZELFSTU
   [Anonymous], GOVERNANCE SOCIAL PO
   [Anonymous], 4 INT JOINT C AUT AG
   [Anonymous], 1 EUR C SYST SCI PAR
   [Anonymous], 2003, ADV SERIES MANAGEMEN
   [Anonymous], 2009, ENVIRON POLICY GOV, DOI DOI 10.1002/EET.509
   [Anonymous], SAM WERK MET WAT LAN
   [Anonymous], WATER GOVERNANCE CON
   [Anonymous], MIL COMM C 16 19 NOV
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Biggs HC, 2008, INT J WATER RESOUR D, V24, P329, DOI 10.1080/07900620802127275
   Bulkeley H, 2005, POLIT GEOGR, V24, P875, DOI 10.1016/j.polgeo.2005.07.002
   Cash DW, 2006, ECOL SOC, V11
   Cilliers P., 2001, Int. J. Innov. Manag, V5, P135, DOI [10.1142/S1363919601000312, DOI 10.1142/S1363919601000312]
   Cilliers P., 2000, EMERGENCE, V2, P23, DOI [10.1207/S15327000EM0201_03, DOI 10.1207/S15327000EM0201_03, https://doi.org/10.1207/S15327000EM0201_03]
   De Jaegher H., 2007, PHENOMENOL COGN SCI, V4, P485, DOI [DOI 10.1007/S11097-007-9076-9, 10.1007/s11097-007-9076-9]
   De Jaegher H, 2009, ADAPT BEHAV, V17, P444, DOI 10.1177/1059712309343822
   De Wolf T, 2005, LECT NOTES COMPUT SC, V3464, P1
   Duit A, 2008, GOVERNANCE, V21, P311, DOI 10.1111/j.1468-0491.2008.00402.x
   Edelenbos J, 2005, GOVERNANCE, V18, P111, DOI 10.1111/j.1468-0491.2004.00268.x
   Ferns D.C., 1991, INT J PROJ MANAG, V9, P148, DOI [10.1016/0263-7863(91)90039-X, DOI 10.1016/0263-7863(91)90039-X]
   Griffin D, 1998, ORGANIZATION, V5, P315, DOI 10.1177/135050849853002
   Hooghe Liesbet., 2001, MULTILEVEL GOVERNANC
   Innes JE, 1999, J AM PLANN ASSOC, V65, P9, DOI 10.1080/01944369908976031
   Jaworski J., 1996, Synchronicity: The inner path of leadership
   John P., 1999, British Journal of Politics and International Relations, V1, P39, DOI DOI 10.1111/1467-856X.00003
   Jung C.G., 2010, Synchronicity: An acausal connecting principle
   Kingdon JW, 1995, Agendas, alternatives and public policies, V2nd
   Klir G.J, 1991, P AM PHILOS SOC, P457
   Kooiman J., 2000, Public Management: An International Journal of Research and Theory, V2, P359
   Koppenjan J., 2004, MAKING POLICY HAPPEN, DOI [10.4324/9781003060697-5, DOI 10.4324/9781003060697-5]
   LAROCHE H, 1995, ORGAN SCI, V6, P62, DOI 10.1287/orsc.6.1.62
   Lebel L, 2006, ECOL SOC, V11
   Marshall GrahamR., 2008, International Journal of the Commons, V2, P75, DOI [DOI 10.18352/IJC.50, 10.18352/ijc.50]
   Murray PJ, 2003, SYST RES BEHAV SCI, V20, P409, DOI 10.1002/sres.562
   Peters BG, 1998, PUBLIC ADMIN, V76, P295, DOI 10.1111/1467-9299.00102
   Piattoni Simona., 2009, EUROPEAN INTEGRATION, V31, P163, DOI [10.1080/07036330802642755, DOI 10.1080/07036330802642755]
   Pierre JonPeters., 2000, Governance, Politics and the State
   Pressman J.L., 1973, GREAT EXPECTATIONS W
   Prokopenko M, 2008, ADV INFORM KNOWL PRO, P1, DOI 10.1007/978-1-84628-982-8
   Rhodes RA W., 1981, CONTROL POWER CENTRA
   Rhodes RAW, 1996, POLIT STUD-LONDON, V44, P652, DOI 10.1111/j.1467-9248.1996.tb01747.x
   Scharpf FW, 1997, J EUR PUBLIC POLICY, V4, P520, DOI 10.1080/135017697344046
   Senge P., 2005, PRESENCE EXPLORING P
   SIMON HA, 1964, ADMIN SCI QUART, V9, P1, DOI 10.2307/2391519
   Sorensen E, 2006, AM REV PUBLIC ADM, V36, P98, DOI 10.1177/0275074005282584
   STACEY RD, 1995, STRATEGIC MANAGE J, V16, P477, DOI 10.1002/smj.4250160606
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Teisman G, 2009, ROUTL CRIT STUD PUBL, P1
   Teisman GR, 2011, INT REV ADM SCI, V77, P101, DOI 10.1177/0020852310390121
   Teisman GR, 2000, PUBLIC ADMIN, V78, P937, DOI 10.1111/1467-9299.00238
   van Buuren A, 2008, PUBLIC MANAG REV, V10, P381, DOI 10.1080/14719030802003038
   van Buuren A, 2013, J EUR ENVIRON PLAN L, V10, P29, DOI 10.1163/18760104-01001003
   van Buuren A, 2012, SYST RES BEHAV SCI, V29, P116, DOI 10.1002/sres.2101
   van Buuren A, 2010, INT J PROJ MANAG, V28, P672, DOI 10.1016/j.ijproman.2009.12.002
   van den Bergh JCJM, 2003, J EVOL ECON, V13, P289, DOI 10.1007/s00191-003-0158-8
   Weick KE, 2005, ORGAN SCI, V16, P409, DOI 10.1287/orsc.1050.0133
NR 63
TC 12
Z9 13
U1 0
U2 16
PU POLICY PRESS
PI BRISTOL
PA UNIV BRISTOL, 1-9 OLD PARK HILL, BRISTOL BS2 8BB, ENGLAND
SN 0305-5736
EI 1470-8442
J9 POLICY POLIT
JI Policy Polit.
PD OCT
PY 2015
VL 43
IS 4
BP 579
EP 596
DI 10.1332/030557312X655909
PG 18
WC Political Science; Public Administration
WE Social Science Citation Index (SSCI)
SC Government & Law; Public Administration
GA CW4VP
UT WOS:000364995000007
DA 2025-01-10
ER

PT J
AU Rubel, F
   Brugger, K
   Walter, M
   Vogelgesang, JR
   Didyk, YM
   Fu, S
   Kahl, O
AF Rubel, Franz
   Brugger, Katharina
   Walter, Melanie
   Vogelgesang, Janna R.
   Didyk, Yuliya M.
   Fu, Su
   Kahl, Olaf
TI Geographical distribution, climate adaptation and vector competence of
   the Eurasian hard tick <i>Haemaphysalis concinna</i>
SO TICKS AND TICK-BORNE DISEASES
LA English
DT Article
DE Ixodid tick; Distribution map; Georeferenced locations; Tick-borne
   diseases; Koppen-Geiger climate classification
ID BURGDORFERI-SENSU-LATO; THROMBOCYTOPENIA SYNDROME VIRUS; DEER
   CERVUS-ELAPHUS; BORRELIA-BURGDORFERI; IXODES-RICINUS; BORNE
   ENCEPHALITIS; ACARI IXODIDAE; ANAPLASMA-PHAGOCYTOPHILUM;
   DERMACENTOR-RETICULATUS; MOLECULAR-DETECTION
AB The ixodid tick Haemaphysalis concinna Koch, 1844 is a proven vector of tick-borne encephalitis (TBE) virus and Francisella tularensis, the causative agent of tularaemia. In the present study, up-to-date maps depicting the geographical distribution and climate adaptation of H. concinna are presented. A dataset was compiled, resulting in 656 georeferenced locations in Eurasia. The distribution of H. concinna ranges from the Spanish Atlantic coast to Kamchatka, Russia, within the belt of 28-64 degrees N latitude. H. concinna is the second most abundant tick species after Ixodes ricinus collected from birds, and third most abundant tick species flagged from vegetation in Central Europe. To investigate the climate adaptation of H. concinna, the georeferenced locations were superimposed on a high-resolution map of the Koppen-Geiger climate classification. A frequency distribution of the H. concinna occurrence under different climates shows three peaks related to the following climates: warm temperate with precipitation all year round, boreal with precipitation all year round and boreal, winter dry. Almost 87.3 % of all H. concinna locations collected are related to these climates. Thus, H. concinna prefers climates with a warm and moist summer. The remaining tick locations were characterized as cold steppes (6.2%), cold deserts (0.8%), Mediterranean climates (2.7%) or warm temperate climates with dry winter (2.9%). In those latter climates H. concinna occurs only sporadically, provided the microclimate is favourable. Beyond proven vector competence pathogen findings in questing H. concinna are compiled from the literature.
C1 [Rubel, Franz; Brugger, Katharina; Walter, Melanie; Vogelgesang, Janna R.] Univ Vet Med Vienna, Inst Vet Publ Hlth, Vienna, Austria.
   [Didyk, Yuliya M.] NAS Ukraine, Inst Zool, Dept Acarol, Kiev, Ukraine.
   [Fu, Su] China Acad Chinese Med Sci, Eye Hosp, Beijing, Peoples R China.
   [Kahl, Olaf] Tick Radar GmbH, Berlin, Germany.
C3 University of Veterinary Medicine Vienna; National Academy of Sciences
   Ukraine; Schmalhausen Institute of Zoology of NASU; Eye Hospital, CACMS;
   China Academy of Chinese Medical Sciences
RP Rubel, F (corresponding author), Univ Vet Med Vienna, Inst Vet Publ Hlth, Vienna, Austria.
EM franz.rubel@vetmeduni.ac.at
RI Brugger, Katharina/O-6031-2015; Rubel, Franz/I-7409-2012
OI Rubel, Franz/0000-0002-0048-7379; Didyk, Yuliya M./0000-0002-0762-6511
CR Akimov I.A., 2002, Vestnik Zoologii, V36, P91
   AMIROVA NA, 1989, PARAZITOLOGIYA+, V23, P267
   Andersson MO, 2017, PARASITOL RES, V116, P2291, DOI 10.1007/s00436-017-5537-4
   Andoh M, 2013, J VET MED SCI, V75, P1115, DOI 10.1292/jvms.12-0570
   [Anonymous], J MED PEST CONTR
   [Anonymous], 2 S GERM TICK C U HO
   [Anonymous], TICKS TICK BORNE DIS
   [Anonymous], 2010, BRANDENBURGISCHES RZ
   [Anonymous], BIOL BRATISL
   [Anonymous], CURRENT STATE IXODID
   [Anonymous], 1971, P 3 INT C AC PRAG
   [Anonymous], P 5 INT SCI PRACT C
   [Anonymous], BIOL SCI KAZAKHSTAN
   [Anonymous], 1972, WLADOMOCI PARAZYTOLO
   [Anonymous], 1948, NATURKUNDL MITT OBER
   [Anonymous], J CHANGZHI MED COLL
   [Anonymous], 1936, HDB KLIMATOLOGIE 5 B
   [Anonymous], THESIS
   Aydin MF, 2012, KAFKAS UNIV VET FAK, V18, pA17
   Balayeva NM, 1996, AM J TROP MED HYG, V55, P685, DOI 10.4269/ajtmh.1996.55.685
   Barandika JF, 2011, J MED ENTOMOL, V48, P13, DOI 10.1603/ME10079
   Barandika JF, 2008, VECTOR-BORNE ZOONOT, V8, P829, DOI 10.1089/vbz.2008.0023
   BAUCH R, 1990, Angewandte Parasitologie, V31, P57
   BELOZEROV V N, 1969, Parazitologiya (St. Petersburg), V3, P17
   Blaschitz M, 2008, INT J MED MICROBIOL, V298, P168, DOI 10.1016/j.ijmm.2007.10.001
   Brugger K, 2016, J MED ENTOMOL, V53, P1292, DOI 10.1093/jme/tjw116
   Bullová E, 2009, VET PARASITOL, V165, P357, DOI 10.1016/j.vetpar.2009.07.023
   Chen Z, 2010, EXP APPL ACAROL, V51, P393, DOI 10.1007/s10493-010-9335-2
   Cheng C, 2016, TICKS TICK-BORNE DIS, V7, P715, DOI 10.1016/j.ttbdis.2016.02.023
   Choi CY, 2014, EXP APPL ACAROL, V62, P557, DOI 10.1007/s10493-013-9748-9
   Chu C, 2008, J MED MICROBIOL, V57, P980, DOI 10.1099/jmm.0.47663-0
   Cornely Monika, 1992, Angewandte Parasitologie, V33, P173
   Dantas-Torres F, 2013, TICKS TICK-BORNE DIS, V4, P251, DOI 10.1016/j.ttbdis.2012.11.004
   Davari B, 2017, PAN AFR MED J, V27, DOI 10.11604/pamj.2017.27.284.10341
   Dmitrovic Dejan, 2014, Ecologica Montenegrina, V1, P89
   DOBY JM, 1994, REV MED VET-TOULOUSE, V145, P743
   Duscher GG, 2013, PARASITE VECTOR, V6, DOI 10.1186/1756-3305-6-76
   Evkurov G. A., 2010, Parazitologiya (St. Petersburg), V44, P167
   Faulde MK, 2014, TICKS TICK-BORNE DIS, V5, P594, DOI 10.1016/j.ttbdis.2014.04.009
   Feria-Arroyo TP, 2014, PARASITE VECTOR, V7, DOI 10.1186/1756-3305-7-199
   Filippova N., 1997, ARACHNOIDEA
   Flaisz B, 2017, TICKS TICK-BORNE DIS, V8, P666, DOI 10.1016/j.ttbdis.2017.04.013
   Fuehrer HP, 2013, VET PARASITOL, V197, P653, DOI 10.1016/j.vetpar.2013.07.005
   Galuppi R, 2011, RES VET SCI, V91, P110, DOI 10.1016/j.rvsc.2010.07.029
   Grímsson F, 2018, J BIOGEOGR, V45, P567, DOI 10.1111/jbi.13154
   Gyuranecz M, 2011, VECTOR-BORNE ZOONOT, V11, P1031, DOI 10.1089/vbz.2010.0091
   Hamsíková Z, 2016, PARASITE VECTOR, V9, DOI 10.1186/s13071-016-1560-z
   Hassl Andreas, 2003, Herpetozoa, V16, P86
   HOOGSTRAAL H, 1959, J PARASITOL, V45, P227, DOI 10.2307/3286538
   Hornok S, 2009, MED VET ENTOMOL, V23, P41, DOI 10.1111/j.1365-2915.2008.00768.x
   Hornok S, 2016, PARASITE VECTOR, V9, DOI 10.1186/s13071-016-1365-0
   Hornok S, 2012, VET PARASITOL, V187, P350, DOI 10.1016/j.vetpar.2011.12.012
   Hornok S, 2014, TICKS TICK-BORNE DIS, V5, P785, DOI 10.1016/j.ttbdis.2014.05.010
   Hornok S, 2010, VET MICROBIOL, V140, P98, DOI 10.1016/j.vetmic.2009.07.013
   HWA LEE， KEUN, 2013, Journal of Bacteriology and Virology, V43, P235, DOI 10.4167/jbv.2013.43.4.235
   Iori A., 1999, Parassitologia (Rome), V41, P53
   Jiang BG, 2018, EMERG INFECT DIS, V24, P236, DOI 10.3201/eid2402.160378
   Jurii A, 2012, P INT S HUNT MOD ASP, P122
   KAHL O, 1992, MED VET ENTOMOL, V6, P363, DOI 10.1111/j.1365-2915.1992.tb00634.x
   Kahl Olaf, 2002, P29, DOI 10.1079/9780851996325.0029
   [КЕРБАБАЕВ Э.Б. Kerbabaev E.B.], 2011, [Российский паразитологический журнал, Russian Journal of Parasitology, Rossiiskii parazitologicheskii zhurnal], P18
   Keskin A, 2016, J MED ENTOMOL, V53, P217, DOI 10.1093/jme/tjv149
   Kolonin GV., 2009, Fauna of ixodid ticks of the world
   Kottek M., 2006, Meteor. Z., V15, P259, DOI [10.1127/0941-2948/2006/0130, DOI 10.1127/0941-2948/2006/0110]
   KOZUCH O, 1980, ACTA VIROL, V24, P377
   Krcmar S, 2014, SUMAR LIST, V138, P309
   Latrofa MS, 2017, PARASITE VECTOR, V10, DOI 10.1186/s13071-017-2225-2
   LEBEDEVA NN, 1981, FOLIA PARASIT, V28, P249
   Leschnik MW, 2012, MED VET ENTOMOL, V26, P440, DOI 10.1111/j.1365-2915.2012.01036.x
   Li H, 2012, EMERG INFECT DIS, V18, P1636, DOI 10.3201/eid1810.120594
   Li Jian-min, 2002, Zhongguo Meijieshengwuxue Ji Kongzhi Zazhi, V13, P165
   Li Zhi-jin, 2002, Zhongguo Meijieshengwuxue Ji Kongzhi Zazhi, V13, P200
   Liu Guo-ping, 2008, Zhonghua Weisheng Shachong Yaoxie, V14, P39
   Liu HH, 2016, PARASITE VECTOR, V9, DOI 10.1186/s13071-016-1764-2
   Lvov D. K., 2014, Voprosy Virusologii, V59, P10
   Meng H, 2016, PARASITE VECTOR, V9, DOI 10.1186/s13071-015-1291-6
   Meng H, 2014, TICKS TICK-BORNE DIS, V5, P887, DOI 10.1016/j.ttbdis.2014.07.007
   Meng K, 2015, PARASITOL RES, V114, P4703, DOI 10.1007/s00436-015-4718-2
   Miediannikov O, 2006, ANN NY ACAD SCI, V1078, P80, DOI 10.1196/annals.1374.010
   Mihalca AD, 2012, EXP APPL ACAROL, V58, P183, DOI 10.1007/s10493-012-9566-5
   Mihaljica D, 2012, ARCH BIOL SCI, V64, P1591, DOI 10.2298/ABS1204591M
   Muñoz-Leal S, 2018, TICKS TICK-BORNE DIS, V9, P44, DOI 10.1016/j.ttbdis.2017.10.009
   Nosek J., 1973, P479
   NOSEK J, 1971, Z PARASITENK, V36, P233
   Nowak-Chmura Magdalena, 2012, Annals of Parasitology, V58, P125
   Pintér R, 2013, TICKS TICK-BORNE DIS, V4, P427, DOI 10.1016/j.ttbdis.2013.04.008
   Porretta D, 2013, PARASITE VECTOR, V6, DOI 10.1186/1756-3305-6-271
   Pukhovskaya NM, 2018, TICKS TICK-BORNE DIS, V9, P824, DOI 10.1016/j.ttbdis.2018.01.020
   R Development Core Team, 2017, R: A language and environment for statistical computing
   Radulovic Z, 2017, ACTA ZOOL BULGAR, V69, P547
   Rahbari S, 2007, PARASITOL RES, V101, pS175, DOI 10.1007/s00436-007-0692-7
   Rar VA, 2014, INFECT GENET EVOL, V28, P270, DOI 10.1016/j.meegid.2014.10.010
   Rar VA, 2013, MOL GENET MICROBIOL+, V28, P56, DOI 10.3103/S0891416813020055
   REHACEK J, 1991, EUR J EPIDEMIOL, V7, P299, DOI 10.1007/BF00145682
   REIDL H, 1971, ARCH HYG BAKTERIOL, V154, P610
   Rigó K, 2011, VECTOR-BORNE ZOONOT, V11, P1499, DOI 10.1089/vbz.2011.0608
   Romanenko V. N., 2005, Parazitologiya (St. Petersburg), V39, P365
   Rubel F, 2017, METEOROL Z, V26, P115, DOI 10.1127/metz/2016/0816
   Rubel F, 2016, TICKS TICK-BORNE DIS, V7, P224, DOI 10.1016/j.ttbdis.2015.10.015
   Rubel F, 2014, PARASITE VECTOR, V7, DOI 10.1186/s13071-014-0477-7
   Rubel F, 2011, METEOROL Z, V20, P361, DOI 10.1127/0941-2948/2011/0258
   Rubel F, 2010, METEOROL Z, V19, P135, DOI 10.1127/0941-2948/2010/0430
   Ruiz-Fons F, 2006, VET PARASITOL, V140, P133, DOI 10.1016/j.vetpar.2006.03.033
   Rybárová M, 2017, FOLIA PARASIT, V64, DOI 10.14411/fp.2017.028
   Rybárová M, 2017, BIOLOGIA, V72, P365, DOI 10.1515/biolog-2017-0051
   Shpynov S, 2004, J CLIN MICROBIOL, V42, P2221, DOI 10.1128/JCM.42.5.2221-2223.2004
   Slovák M, 2003, BIOLOGIA, V58, P890
   [宋健 Song Jian], 2013, [中国病原生物学杂志, Journal of Pathogen Biology], V8, P1133
   Spitalska E, 2003, ANN NY ACAD SCI, V990, P196, DOI 10.1111/j.1749-6632.2003.tb07362.x
   Stella E., 1978, Parassitologia (Rome), V20, P199
   Sun Jia-gang, 2006, Zhongguo Shouyi Kexue, V36, P719
   Sun RX, 2017, TICKS TICK-BORNE DIS, V8, P631, DOI 10.1016/j.ttbdis.2017.04.009
   Sun Yi Sun Yi, 2002, Systematic and Applied Acarology, V7, P15
   Svehlová A, 2014, TICKS TICK-BORNE DIS, V5, P600, DOI 10.1016/j.ttbdis.2014.04.010
   Svitálková Z, 2015, PARASITE VECTOR, V8, DOI 10.1186/s13071-015-0880-8
   Széll Z, 2006, VET PARASITOL, V141, P377, DOI 10.1016/j.vetpar.2006.06.008
   Takano A., 2014, Medical Entomology and Zoology, V65, P13
   Tekin S, 2012, VET PARASITOL, V186, P546, DOI 10.1016/j.vetpar.2011.11.010
   Tian HY, 2017, AM J TROP MED HYG, V96, P1346, DOI 10.4269/ajtmh.16-0333
   Tomanovic S, 2013, EXP APPL ACAROL, V59, P367, DOI 10.1007/s10493-012-9597-y
   Vrbová M, 2016, ACTA VIROL, V60, P426, DOI 10.4149/av_2016_04_426
   Vryosteková V, 2001, BIOLOGIA, V56, P97
   WALTER G, 1986, Senckenbergiana Biologica, V67, P199
   Walter M, 2016, PARASITOL RES, V115, P2165, DOI 10.1007/s00436-016-4958-9
   Wang YZ, 2015, PARASITE VECTOR, V8, DOI 10.1186/s13071-015-1021-0
   Wei F, 2016, FRONT MICROBIOL, V7, DOI 10.3389/fmicb.2016.01913
   Yamaguti N, 1971, B YOUNG U SCI B BIOL, V15
   Yang Yin-shu, 2008, Zhonghua Weisheng Shachong Yaoxie, V14, P97
   Zhang Gui-lin, 2016, Zhongguo Meijieshengwuxue Ji Kongzhi Zazhi, V27, P432
   Zhou X, 2014, PARASITE VECTOR, V7, DOI 10.1186/s13071-014-0509-3
NR 130
TC 51
Z9 56
U1 2
U2 27
PU ELSEVIER GMBH
PI MUNICH
PA HACKERBRUCKE 6, 80335 MUNICH, GERMANY
SN 1877-959X
EI 1877-9603
J9 TICKS TICK-BORNE DIS
JI Ticks Tick-Borne Dis.
PD JUL
PY 2018
VL 9
IS 5
BP 1080
EP 1089
DI 10.1016/j.ttbdis.2018.04.002
PG 10
WC Infectious Diseases; Microbiology; Parasitology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Infectious Diseases; Microbiology; Parasitology
GA GM0GU
UT WOS:000437727300004
PM 29678401
OA hybrid
DA 2025-01-10
ER

PT J
AU Méndez-Vigo, B
   Picó, FX
   Ramiro, M
   Martínez-Zapater, JM
   Alonso-Blanco, C
AF Mendez-Vigo, Belen
   Xavier Pico, F.
   Ramiro, Mercedes
   Martinez-Zapater, Jose M.
   Alonso-Blanco, Carlos
TI Altitudinal and Climatic Adaptation Is Mediated by Flowering Traits and
   <i>FRI</i>, <i>FLC</i>, and <i>PHYC</i> Genes in Arabidopsis
SO PLANT PHYSIOLOGY
LA English
DT Article
ID NATURAL VARIATION; POPULATION-STRUCTURE; LOCUS-C; LINKAGE
   DISEQUILIBRIUM; LATITUDINAL CLINE; DNA POLYMORPHISM; PHYTOCHROME-C; TIME
   GENE; THALIANA; ASSOCIATION
AB Extensive natural variation has been described for the timing of flowering initiation in many annual plants, including the model wild species Arabidopsis (Arabidopsis thaliana), which is presumed to be involved in adaptation to different climates. However, the environmental factors that might shape this genetic variation, as well as the molecular bases of climatic adaptation by modifications of flowering time, remain mostly unknown. To approach both goals, we characterized the flowering behavior in relation to vernalization of 182 Arabidopsis wild genotypes collected in a native region spanning a broad climatic range. Phenotype-environment association analyses identified strong altitudinal clines (0-2600 m) in seven out of nine flowering-related traits. Altitudinal clines were dissected in terms of minimum winter temperature and precipitation, indicating that these are the main climatic factors that might act as selective pressures on flowering traits. In addition, we used an association analysis approach with four candidate genes, FRIGIDA (FRI), FLOWERING LOCUS C (FLC), PHYTOCHROME C (PHYC), and CRYPTOCHROME2, to decipher the genetic bases of this variation. Eleven different loss-of-function FRI alleles of low frequency accounted for up to 16% of the variation for most traits. Furthermore, an FLC allelic series of six novel putative loss-and change-of-function alleles, with low to moderate frequency, revealed that a broader FLC functional diversification might contribute to flowering variation. Finally, environment-genotype association analyses showed that the spatial patterns of FRI, FLC, and PHYC polymorphisms are significantly associated with winter temperatures and spring and winter precipitations, respectively. These results support that allelic variation in these genes is involved in climatic adaptation.
C1 [Mendez-Vigo, Belen; Ramiro, Mercedes; Martinez-Zapater, Jose M.; Alonso-Blanco, Carlos] CSIC, Ctr Nacl Biotecnol, Dept Genet Mol Plantas, Madrid 28049, Spain.
   [Xavier Pico, F.] CSIC, Estn Biol Donana, Dept Ecol Integrat, Seville 41092, Spain.
   [Martinez-Zapater, Jose M.] Univ La Rioja, Consejo Super Invest Cient, Inst Ciencias Vid & Vino, Gobierno De La Rioja 26006, Logrono, Spain.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro
   Nacional de Biotecnologia (CNB); Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Estacion Biologica de Donana (EBD); Consejo
   Superior de Investigaciones Cientificas (CSIC); CSIC-CAR-UR - Instituto
   de Ciencias de la Vid y del Vino (ICVV); Universidad de La Rioja
RP Alonso-Blanco, C (corresponding author), CSIC, Ctr Nacl Biotecnol, Dept Genet Mol Plantas, Madrid 28049, Spain.
EM calonso@cnb.csic.es
RI Pico, Xavier/E-5697-2016; Martinez Zapater, Jose Miguel/I-4892-2012;
   Alonso-Blanco, Carlos/F-8864-2016
OI Pico, Xavier/0000-0003-2849-4922; Mendez-Vigo,
   Belen/0000-0002-9850-536X; Martinez Zapater, Jose
   Miguel/0000-0001-7217-4454; Alonso-Blanco, Carlos/0000-0002-4738-5556
FU Spanish Ministerio de Ciencia e Innovacion [BIO2007-62632, TRANSPLANTA
   CSD-2007-00057]
FX This work was supported by the Spanish Ministerio de Ciencia e
   Innovacion (grant nos. BIO2007-62632 and TRANSPLANTA CSD-2007-00057).
CR Alonso-Blanco C, 2009, PLANT CELL, V21, P1877, DOI 10.1105/tpc.109.068114
   [Anonymous], 1997, EMBNET News
   [Anonymous], 1950, VARIATION EVOLUTION
   Aranzana MJ, 2005, PLOS GENET, V1, P531, DOI 10.1371/journal.pgen.0010060
   Atwell S, 2010, NATURE, V465, P627, DOI 10.1038/nature08800
   Baddeley A, 2005, J STAT SOFTW, V12, P1, DOI 10.18637/jss.v012.i06
   Balasubramanian S, 2006, NAT GENET, V38, P711, DOI 10.1038/ng1818
   Bastow R, 2004, NATURE, V427, P164, DOI 10.1038/nature02269
   Beale CM, 2010, ECOL LETT, V13, P246, DOI 10.1111/j.1461-0248.2009.01422.x
   BERNATZKY R, 1986, THEOR APPL GENET, V72, P314, DOI 10.1007/BF00288567
   BOCHER TW, 1949, NEW PHYTOL, V48, P285
   Bradbury PJ, 2007, BIOINFORMATICS, V23, P2633, DOI 10.1093/bioinformatics/btm308
   Briggs D., 1997, PLANT VARIATION EVOL
   Caicedo AL, 2004, P NATL ACAD SCI USA, V101, P15670, DOI 10.1073/pnas.0406232101
   Chiang GCK, 2009, P NATL ACAD SCI USA, V106, P11661, DOI 10.1073/pnas.0901367106
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   Dormann CF, 2007, ECOL MODEL, V207, P234, DOI 10.1016/j.ecolmodel.2007.05.002
   Ducrocq S, 2008, GENETICS, V178, P2433, DOI 10.1534/genetics.107.084830
   DUTILLEUL P, 1993, BIOMETRICS, V49, P305, DOI 10.2307/2532625
   Eckert AJ, 2010, GENETICS, V185, P969, DOI 10.1534/genetics.110.115543
   Ehrenreich IM, 2009, GENETICS, V183, P325, DOI 10.1534/genetics.109.105189
   Falush D, 2003, GENETICS, V164, P1567
   Fitter AH, 2002, SCIENCE, V296, P1689, DOI 10.1126/science.1071617
   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
   Hancock AM, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.0040032
   Hoffmann MH, 2002, J BIOGEOGR, V29, P125, DOI 10.1046/j.1365-2699.2002.00647.x
   Ibáñez I, 2010, PHILOS T R SOC B, V365, P3247, DOI 10.1098/rstb.2010.0120
   Izawa T, 2007, J EXP BOT, V58, P3091, DOI 10.1093/jxb/erm159
   Jakobsson M, 2007, BIOINFORMATICS, V23, P1801, DOI 10.1093/bioinformatics/btm233
   Jensen JL, 2005, BMC GENET, V6, DOI 10.1186/1471-2156-6-13
   Johanson U, 2000, SCIENCE, V290, P344, DOI 10.1126/science.290.5490.344
   Jung C, 2009, TRENDS PLANT SCI, V14, P563, DOI 10.1016/j.tplants.2009.07.005
   Kim DH, 2009, ANNU REV CELL DEV BI, V25, P277, DOI 10.1146/annurev.cellbio.042308.113411
   Kim S, 2007, NAT GENET, V39, P1151, DOI 10.1038/ng2115
   Kissling WD, 2008, GLOBAL ECOL BIOGEOGR, V17, P59, DOI 10.1111/j.1466-8238.2007.00334.x
   Kobayashi Y, 2007, GENE DEV, V21, P2371, DOI 10.1101/gad.1589007
   Koornneef M, 1998, ANNU REV PLANT PHYS, V49, P345, DOI 10.1146/annurev.arplant.49.1.345
   Le Corre V, 2002, MOL BIOL EVOL, V19, P1261, DOI 10.1093/oxfordjournals.molbev.a004187
   Legendre P, 2002, ECOGRAPHY, V25, P601, DOI 10.1034/j.1600-0587.2002.250508.x
   Lempe J, 2005, PLOS GENET, V1, P109, DOI 10.1371/journal.pgen.0010006
   Li Y, 2010, P NATL ACAD SCI USA, V107, P21199, DOI 10.1073/pnas.1007431107
   Librado P, 2009, BIOINFORMATICS, V25, P1451, DOI 10.1093/bioinformatics/btp187
   Manel S, 2010, MOL ECOL, V19, P3760, DOI 10.1111/j.1365-294X.2010.04717.x
   McKay JK, 2003, MOL ECOL, V12, P1137, DOI 10.1046/j.1365-294X.2003.01833.x
   Méndez-Vigo B, 2010, J EXP BOT, V61, P1611, DOI 10.1093/jxb/erq032
   Michaels SD, 1999, PLANT CELL, V11, P949, DOI 10.1105/tpc.11.5.949
   Montesinos A, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0007213
   Montesinos-Navarro A, 2011, NEW PHYTOL, V189, P282, DOI 10.1111/j.1469-8137.2010.03479.x
   MORAN PAP, 1950, BIOMETRIKA, V37, P17, DOI 10.2307/2332142
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Myles S, 2009, PLANT CELL, V21, P2194, DOI 10.1105/tpc.109.068437
   Ninyerola M, 2000, INT J CLIMATOL, V20, P1823, DOI 10.1002/1097-0088(20001130)20:14<1823::AID-JOC566>3.0.CO;2-B
   Nordborg M, 2005, PLOS BIOL, V3, P1289, DOI 10.1371/journal.pbio.0030196
   Olsen KM, 2004, GENETICS, V167, P1361, DOI 10.1534/genetics.103.024950
   Picó FX, 2008, GENETICS, V180, P1009, DOI 10.1534/genetics.108.089581
   Platt A, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000843
   Pritchard JK, 2000, GENETICS, V155, P945
   Rangel TF, 2010, ECOGRAPHY, V33, P46, DOI 10.1111/j.1600-0587.2009.06299.x
   Rosenberg MS, 2011, METHODS ECOL EVOL, V2, P229, DOI 10.1111/j.2041-210X.2010.00081.x
   Rosenberg NA, 2002, SCIENCE, V298, P2381, DOI 10.1126/science.1078311
   Samis KE, 2008, EVOLUTION, V62, P2971, DOI 10.1111/j.1558-5646.2008.00484.x
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Schwartz C, 2009, GENETICS, V183, P723, DOI 10.1534/genetics.109.104984
   Semenov MA, 2009, J EXP BOT, V60, P2791, DOI 10.1093/jxb/erp164
   Shindo C, 2005, PLANT PHYSIOL, V138, P1163, DOI 10.1104/pp.105.061309
   Shindo C, 2006, GENE DEV, V20, P3079, DOI 10.1101/gad.405306
   SOKAL RR, 1978, BIOL J LINN SOC, V10, P199, DOI 10.1111/j.1095-8312.1978.tb00013.x
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Stinchcombe JR, 2005, AM J BOT, V92, P1701, DOI 10.3732/ajb.92.10.1701
   Toomajian C, 2006, PLOS BIOL, V4, P732, DOI 10.1371/journal.pbio.0040137
   Wilczek AM, 2010, PHILOS T R SOC B, V365, P3129, DOI 10.1098/rstb.2010.0128
   Xue WY, 2008, NAT GENET, V40, P761, DOI 10.1038/ng.143
   Yu JM, 2006, NAT GENET, V38, P203, DOI 10.1038/ng1702
   Zhao KY, 2007, PLOS GENET, V3, DOI 10.1371/journal.pgen.0030004
NR 75
TC 144
Z9 160
U1 3
U2 72
PU OXFORD UNIV PRESS INC
PI CARY
PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA
SN 0032-0889
EI 1532-2548
J9 PLANT PHYSIOL
JI Plant Physiol.
PD DEC
PY 2011
VL 157
IS 4
BP 1942
EP 1955
DI 10.1104/pp.111.183426
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 866JC
UT WOS:000298375600027
PM 21988878
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Romm, M
   Boyd, MA
   Bredder, A
   Doody, S
   Leslie, TF
AF Romm, Madeline
   Boyd, Marcus A.
   Bredder, Allison
   Doody, Sean
   Leslie, Timothy F.
TI Enhancing urban resilience: Global expert insights on climate security,
   mitigation, and adaptive strategies
SO JOURNAL OF URBAN AFFAIRS
LA English
DT Article; Early Access
DE Urban resilience; sustainability; climate adaptation; climate mitigation
ID ADAPTATION; FUTURE; RISK
AB This study investigates the intersection of urban security and climate resilience, emphasizing the urgent need to prioritize climate adaptation and mitigation in urban planning. Through a comprehensive global survey of 256 experts across various fields, we uncover a consensus on climate change as a major threat to urban areas, affecting water, ecosystem, health, economic, and food security. Despite this recognition, our findings reveal a significant lack of preparedness and confidence in governmental responses. We highlight the interconnectedness of climate and economic factors, underscoring the challenges in decoupling economic growth from fossil fuel dependency. Furthermore, we explore the potential of smart technologies, such as early warning systems, data analytics, and green infrastructure, to enhance urban resilience. Our study advocates for a proactive and comprehensive approach to climate resilience, emphasizing the need for urban planners to incorporate innovative technological solutions that address both climate adaptation and mitigation. By focusing on these distinct yet interconnected strategies, we aim to foster secure, sustainable, and livable urban environments that effectively respond to current and future climate challenges.
C1 [Romm, Madeline; Boyd, Marcus A.; Bredder, Allison; Doody, Sean] Univ Maryland, College Pk, MD USA.
   [Leslie, Timothy F.] George Mason Univ, Fairfax, VA USA.
C3 University System of Maryland; University of Maryland College Park;
   George Mason University
RP Leslie, TF (corresponding author), George Mason Univ, Dept Geog & Geoinformat Sci, 4400 Univ Dr MS 6C3, Fairfax, VA 22030 USA.
EM tleslie@gmu.edu
RI Doody, Sean/JTU-9821-2023
OI Leslie, Timothy/0000-0002-4928-3705
FU Washington Headquarters Services [HQ003421F0481]
FX This research was supported by the Washington Headquarters Services
   [HQ003421F0481].
CR Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   [Anonymous], 2024, Human Development Index
   Aylett A, 2015, URBAN CLIM, V14, P4, DOI 10.1016/j.uclim.2015.06.005
   Black R, 2011, ENVIRON PLANN A, V43, P431, DOI 10.1068/a43154
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Calthorpe Peter., 2011, Urbanism in the Age of Climate Change
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   Chung JH, 2022, URBAN CLIM, V45, DOI 10.1016/j.uclim.2022.101252
   Cities Today, 2023, Climate-resilient cities with smart IoT technologies-Cities Today
   Clement Viviane, 2021, Groundswell Part 2: Acting on Internal Climate Migration
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Dodman D., 2022, IPCC 6 ASSESSMENT RE, P907, DOI [10.1017/9781009325844.008, DOI 10.1017/9781009325844.008]
   Elliott H, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10120219
   Elmqvist T, 2021, NPJ URBAN SUSTAIN, V1, DOI 10.1038/s42949-021-00018-w
   Future Investment Initiative, 2023, FII PRIORITY compass Navigator
   González JE, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100858
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Helbling M, 2023, J POPUL ECON, V36, P1187, DOI 10.1007/s00148-022-00924-y
   International Organization for Migration, 2008, Migration and climate change
   Ismagiloiva E., 2019, P INT WORK C TRANSF, P311, DOI [10.1007/978-3-030-20671-0_21, DOI 10.1007/978-3-030-20671-0_21]
   Jiang YF, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9122224
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kim D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040405
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Kong L, 2022, ENVIRON SCI POLLUT R, DOI 10.1007/s11356-022-20891-x
   Laufs J, 2020, SUSTAIN CITIES SOC, V55, DOI 10.1016/j.scs.2020.102023
   Li HM, 2021, ADV CLIM CHANG RES, V12, P384, DOI 10.1016/j.accre.2021.05.006
   Lobo J, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00113-0
   Luo T., 2015, World's 15 Countries with the Most People Exposed to River Floods
   Lustgarten A., 2023, The New York Times
   Macintosh A, 2013, MITIG ADAPT STRAT GL, V18, P1035, DOI 10.1007/s11027-012-9406-2
   Maiella R, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.568899
   Masson V, 2020, ANNU REV ENV RESOUR, V45, P411, DOI 10.1146/annurev-environ-012320-083623
   Morchid A., 2024, J Saudi Soc Agric Sci (February), DOI [DOI 10.1016/J.JSSAS.2024.02.001, 10.1016/J.JSSAS.2024.02.001]
   Mycoo MA, 2014, URBAN CLIM, V9, P134, DOI 10.1016/j.uclim.2014.07.009
   Obringer R, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103278
   Patnaik A., 2020, Racial disparities and climate change
   Pittock J, 2011, ECOL SOC, V16
   Pizzorni M, 2024, CITY ENVIRON INTERAC, V24, DOI 10.1016/j.cacint.2024.100169
   Ramyar R, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103316
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Roderick M., 2021, C40 and Mayors Migration Council
   Romm M., 2022, National Consortium for the Study of Terrorism and Responses to Terrorism
   Sadhu PK, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22197433
   Sanchez-Rodriguez R, 2009, CURR OPIN ENV SUST, V1, P201, DOI 10.1016/j.cosust.2009.10.005
   Sauer S., 2017, Vox
   Savelli E, 2023, NAT SUSTAIN, V6, P929, DOI 10.1038/s41893-023-01100-0
   Sharifi A, 2022, ENVIRON PLAN B-URBAN, V49, P1347, DOI 10.1177/23998083221102400
   Sharifi A, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.122813
   Shelton T, 2015, CAMB J REG ECON SOC, V8, P13, DOI 10.1093/cjres/rsu026
   Sovacool BK, 2015, NAT CLIM CHANGE, V5, P616, DOI 10.1038/nclimate2665
   Srmaek B., 2021, arXiv, DOI [10.48550/arxiv.2107.02693, DOI 10.48550/ARXIV.2107.02693]
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   Tacoli C, 2009, ENVIRON URBAN, V21, P513, DOI 10.1177/0956247809342182
   Tong PH, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102276
   UN Environment Programme, 2024, Cities and climate change
   UNEP, 2011, A Synthesis for Policy Makers
   Vince Vince Gaia. Gaia., 2022, Nomad Century: How Climate Migration Will Reshape Our World, VFirst First
   Wahab NSN, 2020, IOP C SER EARTH ENV, V498, DOI 10.1088/1755-1315/498/1/012087
   Wang YY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109859
   Xu C, 2020, P NATL ACAD SCI USA, V117, P11350, DOI 10.1073/pnas.1910114117
   Ye B, 2021, RENEW SUST ENERG REV, V135, DOI 10.1016/j.rser.2020.110415
NR 63
TC 0
Z9 0
U1 5
U2 5
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0735-2166
EI 1467-9906
J9 J URBAN AFF
JI J. Urban Aff.
PD 2024 DEC 4
PY 2024
DI 10.1080/07352166.2024.2427636
EA DEC 2024
PG 19
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA O2Z5P
UT WOS:001369874300001
DA 2025-01-10
ER

PT C
AU Leucuta, G
   Halbac-Cotoara-Zamfir, R
AF Leucuta, Gabriel
   Halbac-Cotoara-Zamfir, Rares
GP SGEM
TI WATER CHALLENGES IN ROMANIA USING THE EUROPEAN PERSPECTIVE
SO WATER, RESOURCES, FOREST, MARINE AND OCEAN ECOSYSTEMS CONFERENCE
   PROCEEDINGS, VOL I
SE International Multidisciplinary Scientific GeoConference-SGEM
LA English
DT Proceedings Paper
CT 16th International Multidisciplinary Scientific Geoconference (SGEM
   2016)
CY JUN 30-JUL 06, 2016
CL Albena, BULGARIA
SP Bulgarian Acad Sci, Acad Sci Czech Republ, Latvian Acad Sci, Polish Acad Sci, Russian Acad Sci, Serbian Acad Sci & Arts, Slovak Acad Sci, Natl Acad Sci Ukraine, Inst Water Problem & Hydropower NAS KR, Natl Acad Sci Armenia, Sci Council Japan, World Acad Sci, European Acad Sci Arts & Lett, Acad Sci Moldova, Montenegrin Acad Sci & Arts, Croatian Acad Sci & Arts, Georgian Natl Acad Sci, Acad Fine Arts & Design Bratislava, Turkish Acad Sci, Bulgarian Ind Assoc, Bulgarian Minist Environm & Water
DE water challenges; climate adaptation; perspectives
AB Climate change has a major impact on freshwater resources from Europe. Changes in the water availability (shortage, excess, poor quality, ecosystem services) are noted all over the continent. The biggest challenges for Europe at the moment are the increase of water stress (and related droughts) and of flood risks. Romania is no exception to this situation. Extreme water-related events have affected the country in the last few years, affecting agriculture, energy and other socio-economic factors. Policies related to climate adaptation have to be taken into consideration in order to ensure resilience to these extreme water events.
   All these pressures on Europe's waters (diffuse pollution, hydromorphological alteration and over abstraction) are driven by the way agricultural land is managed, and by society's need for energy, transport and urbanization. To solve this problem we need to look at water and water ecosystems as one of the natural resources - like food or energy - needed in an economy.
   This paper will try to identify the water problems in Romania, from a European perspective, and propose measures of climate mitigation and climate adaptation.
C1 [Leucuta, Gabriel; Halbac-Cotoara-Zamfir, Rares] Politehn Univ Timisoara, Timisoara, Romania.
C3 Universitatea Politehnica Timisoara
RP Leucuta, G (corresponding author), Politehn Univ Timisoara, Timisoara, Romania.
RI Halbac-Cotoara-Zamfir, Rares/E-3429-2012
CR [Anonymous], 2004, 22004 EEA
   [Anonymous], 2012, 112012 EEA
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Gordon LJ, 2010, AGR WATER MANAGE, V97, P512, DOI 10.1016/j.agwat.2009.03.017
   [IPCC Stocker], 2013, CONTRIBUTION WG1 5 A
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Turral H., 2011, CLIMATE CHANGE WATER, V36
   UNECE Environmental Performance Reviews Romania, 2012, ENV PERF REV SER, P247
   Vadineanu A., 2008, SUSTAINABLE USE DEV
NR 10
TC 0
Z9 0
U1 0
U2 4
PU STEF92 TECHNOLOGY LTD
PI SOFIA
PA 1 ANDREY LYAPCHEV BLVD, SOFIA, 1797, BULGARIA
SN 1314-2704
BN 978-619-7105-61-2
J9 INT MULTI SCI GEOCO
PY 2016
BP 829
EP 834
PG 6
WC Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Water Resources
GA BG7SA
UT WOS:000391653400108
DA 2025-01-10
ER

PT J
AU Whipps, N
AF Whipps, Nicholas
TI What Happens When Species Move but Reserves Do Not? Creating Climate
   Adaptive Solutions to Climate Change
SO HASTINGS LAW JOURNAL
LA English
DT Article
AB Most U.S. laws and regulations are not well-suited to respond to the effects of climate change, and the Endangered Species Act the central federal law meant to protect threatened and endangered species at all costs is no different. Conservation banking, an Endangered Species Act policy, is a market-based conservation strategy that incentivizes landowners to conserve species on their land. However, fee simple conservation strategies are ill-suited to protecting species on the move due to climate change. This Note first highlights the inadequacies of the current conservation banking system, then suggests how policy makers can transfer the market-based credit system used in conservation banking to a more climate-adaptive system that protects species on the move, which would better meet the goal of the Endangered Species Act to restore populations of listed species. This market-driven climate-adaptive strategy is a more effective means of protecting species that will be moving, while also helping to decrease the traditional conflict between species protection and use of private land.
C1 Univ Calif San Francisco, Hastings Coll Law, San Francisco, CA 94102 USA.
C3 University of California System; University of California San Francisco
RP Whipps, N (corresponding author), Univ Calif San Francisco, Hastings Coll Law, San Francisco, CA 94102 USA.
CR Anderegg WRL, 2010, P NATL ACAD SCI USA, V107, P12107, DOI 10.1073/pnas.1003187107
   [Anonymous], 2013, LAWSUIT CHALLENGES P
   [Anonymous], 2003, FED REGISTER, V68, P24
   [Anonymous], 2008, FED REGISTER, V73, P19
   [Anonymous], 2008, FED REGISTER, V73, P19
   [Anonymous], ARCH GEN PSYCHIAT, DOI DOI 10.1186/1471-2202-7-7
   Barnett David T., 2007, ENVTL MONITORING ASS, V132, P235
   Bonnie Robert, 2008, CONSERVATION BIODIVE, V59
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Crutzen P.J., 2000, IGBP Global Change Newsletter, V41, P12
   Diamond Elin., 1996, Performance and Cultural Politics, P5, DOI DOI 10.1002/9781119241072.CH9
   Dirzo R, 2014, SCIENCE, V345, P401, DOI 10.1126/science.1251817
   DiTomaso JM, 2000, WEED SCI, V48, P255, DOI 10.1614/0043-1745(2000)048[0255:IWIRSI]2.0.CO;2
   Doran PeterT., 2009, EOS, V90, P23
   Fellows Derrick P., 2011, WM MARY ENVTL L POLY, V35, P625
   Freedman Edie, 2013, OREILLY
   Gattuso Dana Joel, 2008, NATL CM FOR PUS POLY
   Geva Benjamin, 1987, OSGOODE HALL L J, V25, P115
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Kallery M, 2004, RES SCI EDUC, V34, P291, DOI 10.1023/B:RISE.0000044613.64634.03
   Keller Sarah Jane, 2014, HIGH COUNTRY NEWS
   Kimbrell Tristan, 2010, FORDHAM ENVIL L REV, V22, P119
   Lawrence AT, 2001, ECO EFFICIEN IND SCI, V6, P93
   LEOPOLD ALDO, 1991, THE RIVER OF THE MOT, P202
   Lin AC, 1996, ECOL LAW QUART, V23, P369
   Mayell H., 2002, National Geographic News
   McCain Christy M., 2014, GLOBAL CHANGE BIOLOG, P1
   Merrifield John, 1996, ECOLOGICAL ECON, V16, P217
   Oreskes N, 2004, SCIENCE, V306, P1686, DOI 10.1126/science.1103618
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PENROD KRISTEEN, 2003, COAST WILDLANDS PROJ
   PIMM SL, 1995, SCIENCE, V269, P347, DOI 10.1126/science.269.5222.347
   Pretty JN, 2000, AGR SYST, V65, P113, DOI 10.1016/S0308-521X(00)00031-7
   Ream Robert R., 1994, THE GREATER YELLOWST, V349, P352
   Salzman J, 2000, STANFORD LAW REV, V53, P607, DOI 10.2307/1229470
   Schaefer Paul, 2007, ENVTL NEWS NETWORK
   Scott J. Michael, 2006, I THE ENDANGERED SPE, V3, P3
   Shaw M. Rebecca, 2012, CONSERVATION BIOLOGY, V26, P385
   Sugg Ike C., 1993, CUMB L REV, V24, P1
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494
   Wissel S, 2010, CONSERV BIOL, V24, P404, DOI 10.1111/j.1523-1739.2009.01444.x
   Yu AD, 2000, US FOR SERV RMRS-P, P163
   Zhang DW, 2004, ECON INQ, V42, P150, DOI 10.1093/ei/cbh051
NR 44
TC 5
Z9 5
U1 0
U2 9
PU UNIV CALIF
PI SAN FRANCISCO
PA HASTINGS COLLEGE LAW 200 MCALLISTER ST, SAN FRANCISCO, CA 94102 USA
SN 0017-8322
J9 HASTINGS LAW J
JI Hastings Law J.
PD FEB
PY 2015
VL 66
IS 2
BP 557
EP 587
PG 31
WC Law
WE Social Science Citation Index (SSCI)
SC Government & Law
GA CA2QB
UT WOS:000348751400007
DA 2025-01-10
ER

PT J
AU Barkai, KR
   Winkler, H
AF Barkai, Kalia Ruth
   Winkler, Harald
TI Developing a framework for assessing equity in national contributions to
   the global goal on adaptation
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article; Early Access
DE Climate change; Climate equity; Global goal on adaptation; Global
   stocktake; Nationally determined contributions
ID CLIMATE-CHANGE; HUMAN-RIGHTS; JUSTICE; PRINCIPLES; FINANCE;
   VULNERABILITY; ALLOCATION; GOVERNANCE; AID
AB According to Article 14 of the Paris Agreement, the global stocktake (GST) aims to assess collective progress on the long-term goals of the agreement and will be undertaken considering equity and the best available science. While "fair share" frameworks have been suggested to assess equity in responsibility for mitigation, there is less clarity on how equity can be assessed in contributions to the global goal on adaptation (GGA). Assessing equity in the GGA requires recognising the inherent injustice of climate change, where those least responsible are often most affected by its adverse impacts, as well as addressing the complexity in scale where adaptation actions occur on the local level, but the GGA is a collective goal. Grounded on the results of a narrative and systematic review of existing metrics, this paper proposes a novel rubric-based adaptation equity framework (AEF) that assesses equity in national contributions to the GGA, as part of the GST and is founded on four equity principles: distributive, procedural, recognitional, and intergenerational justice. The AEF is applied to the South African National Climate Change Adaptation Strategy (NCCAS) to test its applicability to a specific national contribution to the GGA and to inform the AEF's effectiveness as part of the GST. The AEF rubrics are accompanied by a summary diagram which demonstrates that South Africa's NCCAS is strongest in its mainstreaming of distributive justice, requires greater comprehensiveness in the procedural and recognitional justice dimensions, and fails to achieve equity in intergenerational justice.
C1 [Barkai, Kalia Ruth; Winkler, Harald] Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.
   [Barkai, Kalia Ruth] Univ Potsdam, Fac Econ & Social Sci, Potsdam, Germany.
   [Winkler, Harald] Univ Cape Town, Sch Econ & Associate, Policy Res Int Serv & Mfg, Cape Town, South Africa.
C3 University of Cape Town; University of Potsdam; University of Cape Town
RP Barkai, KR (corresponding author), Univ Cape Town, African Climate & Dev Initiat, Cape Town, South Africa.; Barkai, KR (corresponding author), Univ Potsdam, Fac Econ & Social Sci, Potsdam, Germany.
EM kalia.ruth.barkai@uni-potsdam.de
FU University of Cape Town; African Climate & Development Initiative
FX I am thankful to the support from the African Climate & Development
   Initiative throughout my Master's, under which this research was
   conducted. I am also grateful to Dr Marieke Norton, Prof Mark New,
   Samantha Keen, Prof Sheona Shackleton, Dr Darlington Sibanda, Prof Ian
   Noble, Awot Gebregziabher and Tamzyn Suliaman, who generously provided
   me with their expertise during consultations on the research methods of
   my systematic review.
CR Aakre S, 2010, ENVIRON POLICY GOV, V20, P159, DOI 10.1002/eet.538
   Ajibade I, 2019, CLIM DEV, V11, P850, DOI 10.1080/17565529.2019.1580557
   [Anonymous], 2014, Operationalising an Equity Reference Framework (ERF) in the Climate Change Regime: Legal and technical perspectives
   [Anonymous], 2015, C PARTIES ITS 21 SES, P32
   [Anonymous], 2023, Climate Change Bill (B9-2022)
   [Anonymous], 2019, Inequality trends in South Africa: A multidimensional diagnostic of inequality
   Baer P, 2013, WIRES CLIM CHANGE, V4, P61, DOI 10.1002/wcc.201
   Barkai K., 2023, Developing a framework for assessing equity in contributions to the global goal on adaptation as part of the global stocktake
   Barkai KR., 2023, **DATA OBJECT**, DOI 10.25375/uct.22592383.v1
   Begum A. R., 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
   Betzold C, 2017, INT ENVIRON AGREEM-P, V17, P17, DOI 10.1007/s10784-016-9343-8
   Boston J., 2018, Policy Quarterly, V14, P40, DOI [10.4324/9780203073384-10, DOI 10.4324/9780203073384-10, 10.26686/pq.v14i2.5093, DOI 10.26686/PQ.V14I2.5093]
   Brucker Herbert., 2018, Analyse Kritik, V40, P293, DOI DOI 10.1515/AUK-2018-0022
   Torres PHC, 2020, ENVIRON JUSTICE, V13, P42, DOI 10.1089/env.2019.0043
   Chen C, 2018, MITIG ADAPT STRAT GL, V23, P101, DOI 10.1007/s11027-016-9731-y
   Chuku CA, 2010, MITIG ADAPT STRAT GL, V15, P41, DOI 10.1007/s11027-009-9203-8
   Ciplet D, 2013, GLOBAL ENVIRON POLIT, V13, P49, DOI 10.1162/GLEP_a_00153
   Coggins S, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0663
   Craft B, 2018, CLIM POLICY, V18, P1203, DOI 10.1080/14693062.2018.1485546
   Cui LB, 2014, J SYST SCI SYST ENG, V23, P266, DOI 10.1007/s11518-014-5250-0
   De Cian E, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/074015
   Dellink R, 2009, GLOBAL ENVIRON CHANG, V19, P411, DOI 10.1016/j.gloenvcha.2009.07.009
   Department of Forestry Fisheries and the Environment DFFE, 2022, Structure of the department
   Department of the Environment Forestry and Fisheries DEFF, 2019, National Climate Change Adaptation Strategy
   Dulal H. B., 2009, Sustainability, V1, P363
   Eizenberg E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010068
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fleurbaey M, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P283
   Funfgeld H., 2020, Geographica Helvetica, V75, P437, DOI DOI 10.5194/GH-75-437-2020
   Haddaway N R., 2017, ROSES for Systematic Review Reports, DOI [DOI 10.6084/M9.FIGSHARE.5897284, 10.6084/m9.figshare.5897284]
   Hughes K. M., 2021, Wisconsin International Law Journal, V38, P198
   Jodoin S, 2021, CURR OPIN ENV SUST, V52, P45, DOI 10.1016/j.cosust.2021.06.004
   Kaswan A., 2012, ENV'T L. REP., V42, P11125
   Khan M, 2020, CLIMATIC CHANGE, V161, P251, DOI 10.1007/s10584-019-02563-x
   Klepp S, 2022, CLIM DEV, V14, P757, DOI 10.1080/17565529.2021.1984866
   Leiter T., 2019, Adaptation Metrics. Current Landscape and Evolving Practices
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Lyster R, 2017, ENVIRON POLIT, V26, P438, DOI 10.1080/09644016.2017.1287626
   Maguire Rowena., 2012, Carbon Climate L Rev, V6, P101, DOI [10.21552/cclr/2012/2/210, DOI 10.21552/CCLR/2012/2/210]
   Malloy JT, 2020, CLIMATIC CHANGE, V160, P1, DOI 10.1007/s10584-020-02705-6
   Massawa E., 2009, Copenhagen discussion series paper 3
   McDonald J, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.726
   Mearns R, 2010, NEW FRONT SOC POLICY, P1
   Meyer LH, 2010, CRIT REV INT SOC POL, V13, P229, DOI 10.1080/13698230903326349
   Mitchell T, 2008, IDS BULL-I DEV STUD, V39, P130
   New M., 2022, Climate Change 2022: Impacts, Adaptation
   Ngwadla X, 2014, CLIM POLICY, V14, P8, DOI 10.1080/14693062.2014.857199
   Ouzzani M, 2016, SYST REV-LONDON, V5, DOI 10.1186/s13643-016-0384-4
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1136/bmj.n71, 10.1136/bmj.n160, 10.1016/j.ijsu.2021.105906]
   Persson Å, 2019, INT ENVIRON AGREEM-P, V19, P357, DOI 10.1007/s10784-019-09440-z
   QSR International Pty Ltd, 2018, NVivo Qualitative Data Analysis Software (12 Pro)
   Republic of South Africa RSA, 2021, South Africa First Nationally Determined Contribution under the Paris Agreement
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Shih WC, 2019, ECON LAW INST ASIA P, P495, DOI 10.1007/978-981-13-0350-0_28
   Sowman M., 2014, Governance for Justice and Environmental Sustainability: Lessons across natural resource sectors in sub-Saharan Africa, V1st, DOI DOI 10.4324/9780203120880
   Spencer L., 2004, Quality in qualitative evaluation: A framework for assessing research evidence, V2nd
   Stadelmann M, 2014, INT ENVIRON AGREEM-P, V14, P101, DOI 10.1007/s10784-013-9206-5
   Terry G., 2009, Gender and Development, V17, P5, DOI 10.1080/13552070802696839
   The Presidency Republic of South Africa, 2024, President Cyril Ramaphosa assents to climage change bill
   UNFCCC, 2022, PART CONV OBS STAT
   UNFCCC, 2024, C PART SERV M PART P
   UNFCCC, 2024, Synthesis of submissions on the UAE-Belem work programme on indicators
   UNFCCC, 2018, C PART SERV M PART P
   United Nations, 2022, LDCs at a glance
   United Nations Educational Scientific and Cultural Organization UNESCO, UNESCO and Small Island Developing States (SIDS)
   United Nations Framework Convention on Climate Change UNFCCC, 2024, Submission by Swaziland on behalf of the African Group under Workstream I of the ADP
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Whyte KP, 2013, CLIMATIC CHANGE, V120, P517, DOI 10.1007/s10584-013-0743-2
   Winkler H, 2020, CLIM POLICY, V20, P124, DOI 10.1080/14693062.2019.1680337
   Winkler H, 2014, CLIM POLICY, V14, P102, DOI 10.1080/14693062.2013.791184
   Wood BT, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010211
NR 72
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1567-9764
EI 1573-1553
J9 INT ENVIRON AGREEM-P
JI Int. Environ. Agreem.-Polit. Law Econom.
PD 2024 DEC 21
PY 2024
DI 10.1007/s10784-024-09660-y
EA DEC 2024
PG 28
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA Q0I2R
UT WOS:001381625300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Gandidzanwa, CP
   Togo, M
AF Gandidzanwa, C. P.
   Togo, M.
TI Impacts of water, energy, and food nexus challenges on household
   vulnerability: the case of Harare City, Zimbabwe
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE household vulnerability; sustainability; water; energy; and food nexus;
   climate change adaptation; water conservation measures
AB Water, energy, and food (WEF) are interwoven, and their scarcity in the face of climate change intensifies household vulnerability (HV), particularly in developing countries. The interlinkage is complex; it makes it difficult to make decisions and requires coordinated and integrated approaches. Policymakers face problems when attempting to identify and implement appropriate policy actions at the nexus of these challenges. This study interrogates the contribution of WEF challenges to HV in Harare to create good policies that can enhance synergies. Data was collected from 314 urban households through questionnaires. In addition, 11 in-depth interviews and one focus group discussion were conducted with the Harare Residents' Association. The stakeholders interviewed included six city council officials, one representative from UNICEF, two from the World Food Program, and two from the Zimbabwe electricity supply authority. Survey data was analysed using both SPSS Statistics and SPSS AMOS software. While SPSS Statistics was used for descriptive statistics, factor analysis, and inferential tests, SPSS Amos was used for construct validation and structural equation modelling (SEM) path analysis. Interviews were recorded, collated, transcribed, and coded through the summative thematic analysis using QSR NVivo v14. SEM was used to test the proposed relationships between WEF challenges and HV. The findings revealed a positive relationship between the WEF constructs and HV among Harare residents. Socioeconomic factors were also found to have a statistically significant effect on the relationship between Climatic Change and HV. Most climate impacts were found to be water-related, meaning, interventions to address water challenges can boost energy and food production. This will enable policymakers to allocate resources for positive results.
C1 [Gandidzanwa, C. P.; Togo, M.] Univ South Africa, Dept Environm Sci, POB X6, Florida, South Africa.
C3 University of South Africa
RP Gandidzanwa, CP (corresponding author), Univ South Africa, Dept Environm Sci, POB X6, Florida, South Africa.
EM gandicp@unisa.ac.za; togom@unisa.ac.za
RI Togo, Muchaiteyi/C-7415-2015
OI Togo, Muchaiteyi/0000-0001-6433-928X
FU UNISA
FX Prof M Togo would like to acknowledge UNISA for the research development
   leave, which enabled this research to be undertaken and the writing of
   this article to be possible.
CR Adom RK, 2022, J WATER CLIM CHANGE, V13, P2761, DOI 10.2166/wcc.2022.099
   Al-Saidi M, 2016, PROCEDIA ENGINEER, V145, P900, DOI 10.1016/j.proeng.2016.04.117
   [Anonymous], 2019, Global Health Security Index
   Arnab R., 2017, Survey Sampling: Theory and Applications
   Babbie E., 2013, The practice of social research
   Boeije H., 2010, ANAL QUALITATIVE RES
   Botai JO, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13041762
   Brannen J., 2017, MIXING METHODS QUALI
   Carden SW, 2019, STATS-BASEL, V2, P1, DOI 10.3390/stats2010001
   Castañeda G, 2018, J ECON BEHAV ORGAN, V154, P335, DOI 10.1016/j.jebo.2018.07.017
   Castaneda Ramos G., 2018, STUDYING DEV STRATEG
   Chen JF, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103712
   Cooper D. R., 2014, Business research methods, V12th
   Cortekar J, 2016, CLIM SERV, V4, P42, DOI 10.1016/j.cliser.2016.11.002
   Dargin J, 2020, SUSTAIN CITIES SOC, V62, DOI 10.1016/j.scs.2020.102366
   Endo A, 2017, J HYDROL-REG STUD, V11, P20, DOI 10.1016/j.ejrh.2015.11.010
   Field A., 2022, Discovering statistics using R
   Field A.P., 2016, An adventure in statistics: The reality enigma
   Finch H., 2017, Multilevel modeling using mplus, DOI [https://doi.org/10.1201/9781315165882, DOI 10.1201/9781315165882]
   Gandidzanwa C P., 2023, INT J DEV SUSTAINABI, V12, P238
   Gandidzanwa CP, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610260
   Gaudet, 2018, JOURNEY QUALITATIVE, V1, P1
   Gulati M, 2013, AQUAT PR, V1, P150, DOI 10.1016/j.aqpro.2013.07.013
   Hair J. F., 2010, Multivariate data analysis
   Hair J F., 2014, Pract. Assess. Res. Eval., V26, P106, DOI [DOI 10.7275/D2FA-QV48, 10.1108/ebr-10-2013-0128, DOI 10.1108/EBR-10-2013-0128]
   Hair JF., 2022, A primer on partial least squares structural equation modeling (PLS-SEM)
   Harrington D., 2015, CONFIRMATORY FACTOR
   Hayes AF, 2017, AUSTRALAS MARK J, V25, P76, DOI 10.1016/j.ausmj.2017.02.001
   Henseler J, 2015, J ACAD MARKET SCI, V43, P115, DOI 10.1007/s11747-014-0403-8
   Hogeboom RJ, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.630395
   Huang DH, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.135034
   IBM & Corp, 2017, IBM SPSS Statistics for Windows (Version 25.0)
   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]
   Itayi CL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd660
   Khanam Z., 2022, IIM RANCHI J MANAGEM, V2, P114, DOI [10.1108/IRJMS-07-2022-0076, DOI 10.1108/IRJMS-07-2022-0076]
   Khaniya HBY, 2021, MATH PROBL ENG, V2021, DOI 10.1155/2021/8821329
   Khundi-Mkomba F, 2021, INT J RENEW ENERGY D, V10, P105, DOI 10.14710/ijred.2021.33234
   Kline RB., 2016, Principles and Practice of Structural Equation Modeling, V4th ed.
   Leszczensky L, 2022, SOCIOL METHOD RES, V51, P837, DOI 10.1177/0049124119882473
   Li XQ, 2022, CLIMATE, V10, DOI 10.3390/cli10110164
   Liamputtong P., 2005, Qualitative Research Methods
   da Silva MVM, 2022, J WATER CLIM CHANGE, V13, P315, DOI 10.2166/wcc.2021.352
   Maftouh A, 2022, APPL WATER SCI, V12, DOI 10.1007/s13201-022-01613-7
   Maviza A, 2021, SN APPL SCI, V3, DOI 10.1007/s42452-021-04512-9
   Mba PN, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211002214
   Mertler C., 2016, Advanced and multivariate statistical methods: Practical application and interpretation, VSixth, DOI DOI 10.4324/9781315266978
   Mguni P, 2020, J INTEGR ENVIRON SCI, V17, DOI 10.1080/1943815X.2020.1866617
   Mupangwa W, 2021, WATER SA, V47, P466, DOI 10.17159/wsa/2021.v47.i4.3844
   Musetsho KD, 2024, FRONT WATER, V6, DOI 10.3389/frwa.2024.1253921
   Mushore TD, 2017, URBAN CLIM, V20, P120, DOI 10.1016/j.uclim.2017.04.005
   Ndebele-Murisa MR, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0227915
   Nepal S, 2021, INT J WATER RESOUR D, V37, P67, DOI 10.1080/07900627.2019.1694867
   Nhamo L, 2018, WATER-SUI, V10, DOI 10.3390/w10050567
   Ningi T., 2021, INT J DEV SUSTAINABI, V10, P315
   Pallant J, 2001, SPSS Survival Guide: A Step by Step Guide to Data Analysis Using SPSS for Windows
   Rasul G, 2020, FRONT PUBLIC HEALTH, V8, DOI 10.3389/fpubh.2020.589681
   Reddy KG, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e21407
   Romero-Lankao P, 2019, FRONT SOCIOL, V4, DOI 10.3389/fsoc.2019.00031
   Simpson GB, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00008
   Sunik J., 2023, WATERMARK, V1
   Tabachnick B., 2013, Using multivariate statistics, V6th
   Taber KS, 2018, RES SCI EDUC, V48, P1273, DOI 10.1007/s11165-016-9602-2
   Tchatoka FD, 2015, ECONOMET J, V18, P137, DOI 10.1111/ectj.12042
   Thompson B., 2018, Exploratory and confirmatory factor analysis: Understanding concepts and applications
   Torhan S, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002201
   Wahl D, 2021, SUSTAIN SCI, V16, P663, DOI 10.1007/s11625-020-00893-9
   Yin R. K., 2017, Case study research and applications: Design and methods, V6th
   Yong AG, 2013, TUTOR QUANT METHODS, V9, P79, DOI 10.20982/tqmp.09.2.p079
NR 68
TC 0
Z9 0
U1 4
U2 4
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 NOV 1
PY 2024
VL 19
IS 11
AR 114038
DI 10.1088/1748-9326/ad7bcd
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA I2Q2B
UT WOS:001328745700001
OA gold
DA 2025-01-10
ER

PT J
AU Hambira, WL
   Kolawole, OD
   Saarinen, J
   Moses, O
   Mulale, K
   Mogomotsi, PK
AF Hambira, Wame L.
   Kolawole, Oluwatoyin D.
   Saarinen, Jarkko
   Moses, Oliver
   Mulale, Kutlwano
   Mogomotsi, Patricia K.
TI Perspectives of nature-based tourism-dependent communities on climate
   change in the Okavango Delta, Botswana
SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
LA English
DT Article; Early Access
DE Adaptive capacity; Climate change; Nature-based tourism; Vulnerability;
   Resilience
ID RURAL LIVELIHOODS; SOUTHERN AFRICA; DRY SUMMERS; PERCEPTIONS;
   VARIABILITY; ADAPTATION; RAINFALL; IMPACTS; ENSO; VULNERABILITY
AB The intensity and frequency of climate extremes such as heat waves, droughts and extreme rainfall events are projected to rise. This will increase the severity of their impacts across socio-ecological systems. Economic sectors such as nature-based tourism become more vulnerable because of their reliance on climate and natural capital as key resources. While attempts have been made to understand how climate change may impact tourists and the industry itself, little is known about the same on tourism-dependent communities. This paper determines the extent to which tourism-dependent communities are vulnerable to climate change in the Okavango Delta, Botswana, to enhance their wider livelihood the development of strategies for improving adaptive capacity, resilience, and reduced exposure sensitivities. A household survey of 172 households was conducted in three purposively selected villages of Mababe, Sankuyo and Khwai, actively involved in community-based tourism for their socio-economic development. Information sourced related to livelihood options, peoples' resilience, local risks, and hazards. The data was analysed using descriptive statistics and thematic analysis. The results indicate that respondents have observed climatic changes over the years such as increased temperatures, decreased rainfall, and increased frequencies of extreme events. The respondents attributed changes in natural capital to these observed climatic conditions in the form of desiccation, dwindling populations of some wildlife species, decreased fish stocks and reduced vegetation cover. This renders the tourism-dependent communities vulnerable as their livelihood is threatened. The paper thus concludes that climate change adaptation is an urgent priority for local communities who are already exposed to existing climatic and non-climatic stresses.
C1 [Hambira, Wame L.] Botswana Univ Agr & Nat Resources, Dept Land & Atmospher Resources, Gaborone, Botswana.
   [Kolawole, Oluwatoyin D.; Moses, Oliver] Univ Botswana, Okavango Res Inst, Gaborone, Botswana.
   [Saarinen, Jarkko] Univ Johannesburg, Sch Tourism & Hospitality, Johannesburg, South Africa.
   [Saarinen, Jarkko] Univ Oulu, Geog Res Unit, Oulu, Finland.
   [Saarinen, Jarkko] Uppsala Univ, Dept Civil & Ind Engn Sustainable Destinat Dev, Uppsala, Sweden.
   [Mulale, Kutlwano] Univ Botswana, Dept Environm Sci, Gaborone, Botswana.
   [Mogomotsi, Patricia K.] Univ Botswana, Dept Econ, Gaborone, Botswana.
   [Kolawole, Oluwatoyin D.] Univ Free State, Ctr Gender & Africa Studies, Bloemfontein, South Africa.
C3 University of Botswana; University of Johannesburg; University of Oulu;
   Uppsala University; University of Botswana; University of Botswana;
   University of the Free State
RP Hambira, WL (corresponding author), Botswana Univ Agr & Nat Resources, Dept Land & Atmospher Resources, Gaborone, Botswana.
EM whambira@buan.ac.bw
RI Saarinen, Jarkko/AAD-3227-2019; Hambira, Wame/GQB-0658-2022; Kolawole,
   Oluwatoyin/N-1240-2013; Hambira, Wame L./AFU-4130-2022
OI Hambira, Wame L./0000-0003-1266-0738
FU Office of Research and Development, University of Botswana
FX No Statement Available
CR Abdollahzadeh G, 2014, INT J TOUR RES, V16, P126, DOI 10.1002/jtr.1906
   Andersson L, 2003, PHYS CHEM EARTH, V28, P1165, DOI 10.1016/j.pce.2003.09.002
   Andersson L, 2006, J HYDROL, V331, P43, DOI 10.1016/j.jhydrol.2006.04.039
   [Anonymous], 2007, COMMUNITY BASED NATU
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Bannan-Watts ME, 2009, Spiritual ecological consciousness towards ecological conversion: experiential stories of senior secondary students and an autoethnography of the researcher
   Becken S, 2013, ANN TOURISM RES, V43, P506, DOI 10.1016/j.annals.2013.06.002
   Blamey RC, 2018, INT J CLIMATOL, V38, P4276, DOI 10.1002/joc.5668
   Braun V., 2012, SAGE HDB QUALITATIVE, P57, DOI [https://doi.org/10.1037/13620-004, DOI 10.1037/13620-004, 10.1007/978-981-10-5251-4_103, DOI 10.4135/9781526405555, 10.1037/13620-004]
   Chang L, 2002, Nanya J, P89
   Chikuta O., 2024, Front Sustain Tour, V2, DOI [10.3389/frsut.2023.129695, DOI 10.3389/FRSUT.2023.129695]
   Conway D, 2015, NAT CLIM CHANGE, V5, P837, DOI [10.1038/nclimate2735, 10.1038/NCLIMATE2735]
   Cook C, 2004, CLIM RES, V26, P17, DOI 10.3354/cr026017
   Crétat J, 2019, CLIM DYNAM, V52, P1783, DOI 10.1007/s00382-018-4222-3
   Driver P, 2017, INT J CLIMATOL, V37, P570, DOI 10.1002/joc.5022
   Droz L., 2022, Ethics in Science and Environmental Politics, V22, P25, DOI [10.3354/esep00200, DOI 10.3354/ESEP00200]
   Dube K, 2024, J SUSTAIN TOUR, V32, P1811, DOI 10.1080/09669582.2023.2193355
   Dube K, 2020, ENVIRON DEV, V33, DOI 10.1016/j.envdev.2019.100485
   Dube K., 2018, Botsw Afr J Hosp Tour Leisure, V7, P1
   Dube K, 2022, J OUTDOOR REC TOUR, V39, DOI 10.1016/j.jort.2020.100319
   Edenhofer O., 2014, Climate Change 2014: Mitigation of Climate Change
   Edwards PJ, 2015, J CONTEMP WAT RES ED, V154, P3, DOI 10.1111/j.1936-704X.2015.03185.x
   Engelbrecht F, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085004
   Fitchett JM, 2017, J SUSTAIN TOUR, V25, P851, DOI 10.1080/09669582.2016.1251933
   Gutierrez J.M., 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
   Hall C.M., 2005, TOURISM RECREATION C
   Hambira W. L., 2011, International Journal of Tourism Policy, V4, P51, DOI 10.1504/IJTP.2011.046709
   Hambira WL, 2021, TOUR REV INT, V25, P105, DOI 10.3727/154427220X16059054538773
   Hambira WL, 2017, Botswana tourism operators and policy makers' perceptions and responses to the tourism climate change nexus: vulnerabilities and adaptations to climate change in Maun and Tshabong area
   Hansen J, 2012, P NATL ACAD SCI USA, V109, pE2415, DOI 10.1073/pnas.1205276109
   Harrod C, 2016, FRESHWATER FISHERIES ECOLOGY, P641
   Hart NCG, 2018, J CLIMATE, V31, P2797, DOI 10.1175/JCLI-D-17-0221.1
   Hart NCG, 2013, CLIM DYNAM, V41, P1199, DOI 10.1007/s00382-012-1589-4
   Hoogendoorn G, 2018, CURR ISSUES TOUR, V21, P742, DOI 10.1080/13683500.2016.1188893
   Kaján E, 2014, SCAND J HOSP TOUR, V14, P60, DOI 10.1080/15022250.2014.886097
   Kapolo IN, 2015, Drought conditions and management strategies in Namibia
   Kgathi DL, 2006, J HYDROL, V331, P3, DOI 10.1016/j.jhydrol.2006.04.048
   Kolawole OD, 2022, ALTERNATIVE, V18, P132, DOI 10.1177/11771801221088667
   Kolawole OD, 2016, WEATHER CLIM SOC, V8, P131, DOI 10.1175/WCAS-D-15-0019.1
   Kolawole OD, 2015, DEV PRACT, V25, P1189, DOI 10.1080/09614524.2015.1078777
   Kupika O. L., 2018, Selected Studies in Biodiversity, P1
   Leal W, 2022, INT J CLIM CHANG STR, V14, P212, DOI 10.1108/IJCCSM-08-2021-0088
   Lekgau RJ., 2020, Afr J Hospitality Tourism Leisure, V9, P1044, DOI [10.46222/ajhtl.19770720-67, DOI 10.46222/AJHTL.19770720-67]
   Lendelvo Angula MN, 2018, Natural Hazards-Risk Assessment and Vulnerability Reduction, DOI [10.5772/intechopen.73232, DOI 10.5772/INTECHOPEN.73232]
   LINDESAY JA, 1988, J CLIMATOL, V8, P17, DOI 10.1002/joc.3370080103
   Ludena C.E., 2015, INTERAMERICAN DEV BA
   Magole L., 2005, Botsw. Notes Rec, V7, P125
   Maibach E, 2014, EARTHS FUTURE, V2, P295, DOI 10.1002/2013EF000226
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Mbaiwa J. E., 2005, Journal of Sustainable Tourism, V13, P203, DOI 10.1080/01434630508668554
   Mbaiwa JE, 2003, J ARID ENVIRON, V54, P447, DOI 10.1006/jare.2002.1101
   Mbaiwa JE., 2009, Tourism strategies and local responses in Southern Africa
   Mbaiwa JE, 2018, S AFR GEOGR J, V100, P41, DOI 10.1080/03736245.2017.1299639
   Mbaiwa JE, 2011, TOURISM MANAGE, V32, P1050, DOI 10.1016/j.tourman.2010.09.002
   Mbaiwa JE, 2010, J SUSTAIN TOUR, V18, P635, DOI 10.1080/09669581003653500
   McCarthy JM, 2003, AMBIO, V32, P453, DOI 10.1639/0044-7447(2003)032[0453:FPOTOW]2.0.CO;2
   McGrath M., 2016, BBC News
   Mearns K., 2003, Africa Insight, V33, P29
   Mendelsohn J, 2015, Okavango River: the flow of a lifetime
   Mfundisi KB, 2009, Climate Change: Global Risks, Challenges and Decisions, V6, DOI [10.1088/1755-1307/6/31/312020, DOI 10.1088/1755-1307/6/31/312020]
   Mogomotsi GEJ, 2020, LEIDEN J INT LAW, V33, P391, DOI 10.1017/S0922156519000736
   Mogomotsi PK, 2019, An institutional framework for the sustainable co-existence of tourism and agriculture in Botswana
   Moses O, 2023, WEATHER CLIM EXTREME, V41, DOI 10.1016/j.wace.2023.100589
   Moses O, 2017, BNR, V49, P13
   Moses O, 2023, INT J CLIMATOL, V43, P6463, DOI 10.1002/joc.8215
   Moses O, 2022, INT J CLIMATOL, V42, P691, DOI 10.1002/joc.7267
   Mulenga HM, 2003, CLIM RES, V25, P29, DOI 10.3354/cr025029
   Munday C, 2019, J CLIMATE, V32, P3707, DOI 10.1175/JCLI-D-18-0463.1
   Murray-Hudson M, 2006, J HYDROL, V331, P73, DOI 10.1016/j.jhydrol.2006.04.041
   Nicholls Mark., 2014, Climate Change: Implications for Tourism
   NSUKWINI S., 2016, African Journal of Hospitality, Tourism and Leisure, V5
   Nyaupane GP, 2009, TOURISM GEOGR, V11, P95, DOI 10.1080/14616680802643359
   Panno A, 2015, EUR J SOC PSYCHOL, V45, P858, DOI 10.1002/ejsp.2162
   Reason CJC, 2006, B AM METEOROL SOC, V87, P941, DOI 10.1175/BAMS-87-7-941
   Reason CJC, 2016, GEOPHYS RES LETT, V43, P1280, DOI 10.1002/2015GL067228
   Reason CJC, 2005, METEOROL ATMOS PHYS, V89, P181, DOI 10.1007/s00703-005-0128-9
   Reason CJC, 2000, INT J CLIMATOL, V20, P1285, DOI 10.1002/1097-0088(200009)20:11<1285::AID-JOC536>3.0.CO;2-R
   Saarinen J, 2022, ROUT ADV CLIMATE, P1, DOI 10.4324/9781003102618
   Saarinen J, 2020, DEV SO AFR, V37, P855, DOI 10.1080/0376835X.2020.1809997
   Saputri DA., 2018, Engl Lang Literature J, VVII, P31
   Scott D, 2010, J SUSTAIN TOUR, V19, P17, DOI 10.1080/09669582.2010.539694
   Secretariat of the Convention on Biological Diversity, 2022, DEC AD C PART CONV B
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tanrisever C., 2024, FUTURE TOURISM TREND, P33, DOI DOI 10.1108/978-1-83753-244-520241003
   Thapa K, 2022, INT J SUST DEV WORLD, V29, P625, DOI 10.1080/13504509.2022.2073616
   The Okavango Explorations, 2024, Creating a sustainable future for the land, wildlife and people of Botswana
   Turpie J., 2010, Climate Change Vulnerability and Adaptation Assessment for Namibia's Biodiversity and Protected Area System
   Twyman C, 2000, GEOGR J, V166, P323, DOI 10.1111/j.1475-4959.2000.tb00034.x
   Tyson P.D., 1986, CLIMATIC CHANGE VARI
   UNESCO, 2014, Okavango Delta
   Wainwright CM, 2021, J HYDROMETEOROL, V22, P2339, DOI 10.1175/JHM-D-21-0017.1
   Wilkins E., 2019, OLeary. Tourism in changing natural environments
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   Wolski P, 2021, INT J CLIMATOL, V41, pE1303, DOI 10.1002/joc.6768
   World Meteorological Organisation, 2024, State of the global climate, 2023, DOI [10.18356/9789263113474, DOI 10.18356/9789263113474]
   World Travel and Tourism Council, 2019, The Economic Impact of Global Wildlife Tourism
   Wyss R, 2013, Journal of Alpine Research, P101, DOI [10.4000/rga.1880, DOI 10.4000/RGA.1880]
   Wyss R, 2014, TOUR MANAG PERSPECT, V11, P69, DOI 10.1016/j.tmp.2014.04.004
   ,, 2008, Climate change adaptation and mitigation in the tourism sector: frameworks, tools and practices
NR 102
TC 0
Z9 0
U1 12
U2 14
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 2024 JUN 18
PY 2024
DI 10.1007/s00484-024-02719-0
EA JUN 2024
PG 12
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 UQ7V5
UT WOS:001249598100001
PM 38888707
DA 2025-01-10
ER

PT J
AU Campbell, ML
   Le, CTU
   Hewitt, CL
AF Campbell, Marnie L.
   Le, Chi T. U.
   Hewitt, Chad L.
TI Critical coastal values impacted by marine bioinvasions: What the public
   value about marine and coastal areas and what is at stake?
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Vulnerability to marine bioinvasions; Non-native marine species;
   Societal values; Value-based approaches; Societal hotspots; Risk and
   intervention communication
ID CULTURAL ECOSYSTEM SERVICES; CLIMATE-CHANGE ADAPTATION; OPEN-ENDED
   QUESTIONS; WILLINGNESS-TO-PAY; SOCIAL VALUES; EMPIRICAL-ANALYSIS;
   ATTITUDES; TOURISM; VULNERABILITY; PERCEPTIONS
AB Understanding values of coastal areas that the public hold, and which values would potentially be impacted by non-indigenous marine species (NIMS) and subsequent management actions, are necessary to predict social responses to marine biosecurity interventions. With that in mind, we used survey data from a representative sample of the New Zealand population (n = 1001) to spatially identify the public's values of coastal areas, and societal 'hotspots', which are either value-rich or vulnerable to the impacts of NIMS and/or management actions, and examined socio-demographic patterns in the public's valuation of beaches and coastal areas. We used three different value categorisations to capture the large spectrum of public values in this dynamic context. Three value indices (i.e., intensity, richness, and diversity of values) were adopted for each categorisation. Our findings highlight the highly multidimensional characteristics of the values people held for marine and coastal areas; a large part of which were unrepresented using ecosystem service approaches. Moreover, the identified societal 'hotspots' were spatially different using different value categorisations and different value indices. These outcomes suggest a need for a comprehensive societal value typology that ensures that the public is heard, and that the identified values are accurate and meaningful. The public valuation of beach and coastal areas was different among gender, educational backgrounds, respondents' residential city sizes, and the relative location between respondents' hometown and their favourite beaches. The recognition of these demographic patterns can inform marine biosecurity risk and intervention communication strategies.
C1 [Campbell, Marnie L.; Le, Chi T. U.] Deakin Univ, Waurn Ponds, Vic, Australia.
   [Campbell, Marnie L.; Hewitt, Chad L.] Univ Waikato, Hamilton, New Zealand.
   [Campbell, Marnie L.] Edith Cowan Univ, Joondalup, WA, Australia.
   [Hewitt, Chad L.] Lincoln Univ, Lincoln, New Zealand.
   [Le, Chi T. U.] Deakin Univ, Sch Life & Environm Sci, 75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia.
C3 Deakin University; University of Waikato; Edith Cowan University; Deakin
   University
RP Le, CTU (corresponding author), Deakin Univ, Sch Life & Environm Sci, 75 Pigdons Rd, Waurn Ponds, Vic 3216, Australia.
EM marnie.campbell@ecu.edu.au; c.le@deakin.edu.au;
   Chad.Hewitt@lincoln.ac.nz
RI Le, Chi/JBJ-7696-2023; Campbell, Mariel/HTR-9392-2023; Hewitt,
   Chad/J-2105-2019; Hewitt, Chad/C-4460-2008
OI Le, Chi Thai Uyen/0000-0003-3554-2777; Hewitt, Chad/0000-0002-6859-6512;
   Campbell, Marnie/0000-0002-8716-0036
FU New Zealand Ministry of Business, Innovation and Employment (MBIE) [C01
   x 1511]; What's at stake?
FX This research was funded by the New Zealand Ministry of Business,
   Innovation and Employment (MBIE) Contract No. C01 x 1511; What's at
   stake?-Enabling decision-making through better measurement, fore-casting
   and evaluation of the impacts of non-native organisms in NZ's changing
   ocean.
CR Albizua A, 2014, ENVIRON POLICY GOV, V24, P405, DOI 10.1002/eet.1658
   Andelkovic AA, 2022, NEOBIOTA, V73, P153, DOI 10.3897/neobiota.73.79636
   Anderson LG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140833
   Anderson MJ., 2014, WILEY STATSREF STAT, P1, DOI [10.1002/9781118445112.stat07841, DOI 10.1002/9781118445112.STAT07841]
   Arias-Arévalo P, 2018, ENVIRON VALUE, V27, P29, DOI 10.3197/096327118X15144698637513
   Barnett S, 2009, At the beach: the great New Zealand holiday
   Bozic S, 2017, TOUR MANAG PERSPECT, V23, P97, DOI 10.1016/j.tmp.2017.05.002
   Brown G, 2020, APPL GEOGR, V116, DOI 10.1016/j.apgeog.2020.102156
   Brown G, 2017, OCEAN COAST MANAGE, V142, P49, DOI 10.1016/j.ocecoaman.2017.03.019
   Bryce R., 2014, UK National Ecosystem Assessment Follow-On. Work Package Report 6: Shared
   Bryce R, 2011, BIOL CONSERV, V144, P575, DOI 10.1016/j.biocon.2010.10.013
   Buhalis D, 2000, TOURISM MANAGE, V21, P97, DOI 10.1016/S0261-5177(99)00095-3
   Campbell ML, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00247
   Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011
   Cole Z, 2015, SOC NATUR RESOUR, V28, P1290, DOI 10.1080/08941920.2015.1020580
   Cooper N, 2016, ECOSYST SERV, V21, P218, DOI 10.1016/j.ecoser.2016.07.014
   de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006
   De Groot Rudolf., 2010, The economics of ecosystems and biodiversity: The ecological and economic, P1, DOI [DOI 10.4324/9781849775489, DOI 10.1016/j.landurbplan.2005.02.016]
   Dietz T, 2002, SOC SCI QUART, V83, P353, DOI 10.1111/1540-6237.00088
   Elias M, 2017, ETHNOBIOL LETT, V8, P31, DOI 10.14237/ebl.8.1.2017.834
   Estévez RA, 2015, CONSERV BIOL, V29, P19, DOI 10.1111/cobi.12359
   Fagerholm N, 2012, ECOL INDIC, V18, P421, DOI 10.1016/j.ecolind.2011.12.004
   Fung Archon., 2004, SSRN Electronic Journal, DOI DOI 10.2139/SSRN.766287
   GEER JG, 1991, PUBLIC OPIN QUART, V55, P360, DOI 10.1086/269268
   Giakoumi S, 2021, BIOL CONSERV, V257, DOI 10.1016/j.biocon.2021.109134
   Gkargkavouzi A, 2019, OCEAN COAST MANAGE, V167, P115, DOI 10.1016/j.ocecoaman.2018.09.008
   Gnoth J, 1997, ANN TOURISM RES, V24, P283, DOI 10.1016/S0160-7383(97)80002-3
   Gobster P.H., 2011, Invasive and Introduced Plants and Animals, P265, DOI [10.4324/9780203525753, DOI 10.4324/9780203525753]
   Graham S, 2018, WORLD DEV, V108, P332, DOI 10.1016/j.worlddev.2017.12.008
   Graham S, 2013, ENVIRON IMPACT ASSES, V41, P45, DOI 10.1016/j.eiar.2013.02.002
   Husson F., 2016, R package
   Irvine KN, 2016, ECOSYST SERV, V21, P184, DOI 10.1016/j.ecoser.2016.07.001
   Jacobs S, 2018, ECOSYST SERV, V29, P515, DOI 10.1016/j.ecoser.2017.07.011
   Jo E, 2014, J COASTAL RES, P112, DOI 10.2112/SI72-021.1
   Johnston JR, 2020, COAST MANAGE, V48, P142, DOI 10.1080/08920753.2020.1732800
   Kenter JO, 2015, ECOL ECON, V111, P86, DOI 10.1016/j.ecolecon.2015.01.006
   Kim MJ, 2021, J HOSP TOUR MANAG, V48, P99, DOI 10.1016/j.jhtm.2021.05.014
   Kirchhoff T, 2019, BIOSCIENCE, V69, P220, DOI 10.1093/biosci/biz007
   Klain SC, 2012, ECOL ECON, V82, P104, DOI 10.1016/j.ecolecon.2012.07.008
   Kuru R, 2021, FRONT FOR GLOB CHANG, V4, DOI 10.3389/ffgc.2021.719106
   Le CTU, 2022, MAR POLLUT BULL, V185, DOI 10.1016/j.marpolbul.2022.114283
   Le CTU, 2022, ENVIRON SCI POLICY, V138, P11, DOI 10.1016/j.envsci.2022.09.016
   Lewis CL, 2019, BIOL INVASIONS, V21, P961, DOI 10.1007/s10530-018-1875-0
   Loomis J, 2013, COAST MANAGE, V41, P75, DOI 10.1080/08920753.2012.749754
   Lyver PO, 2019, J ROY SOC NEW ZEAL, V49, P394, DOI 10.1080/03036758.2018.1539405
   MacDonald DH, 2015, MAR POLICY, V52, P116, DOI 10.1016/j.marpol.2014.11.003
   Maslow AH, 1943, PSYCHOL REV, V50, P370, DOI 10.1037/h0054346
   Melián-González A, 2003, ANN TOURISM RES, V30, P720, DOI 10.1016/S0160-7383(03)00047-1
   Melly D, 2020, J OUTDOOR REC TOUR, V31, DOI 10.1016/j.jort.2020.100313
   Ministry of Primary Industries, 2016, Biosecurity 2025 Direction Statement for New Zealand's biosecurity system
   Moore SA, 2017, J ENVIRON MANAGE, V197, P706, DOI 10.1016/j.jenvman.2016.12.026
   Munro J, 2017, OCEAN COAST MANAGE, V148, P9, DOI 10.1016/j.ocecoaman.2017.07.016
   Neuert CE, 2021, METHODS DATA ANAL, V15, P3
   Nourani SW, 2018, ECOL SOC, V23, DOI 10.5751/ES-10327-230329
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Ojaveer H, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002130
   Oksanen J., 2007, Community Ecology Package, V10, P631
   Oliveira P, 2008, TOURISM ECON, V14, P155, DOI 10.5367/000000008783554758
   Onofri L, 2013, ECOL ECON, V88, P49, DOI 10.1016/j.ecolecon.2013.01.003
   Orams M, 2002, Marine tourism: Development, impacts and management, DOI [10.4324/9780203197110, DOI 10.4324/9780203197110]
   Paavola J, 2001, EXPLORING SUSTAINABLE CONSUMPTION: ENVIRONMENTAL POLICY AND THE SOCIAL SCIENCES, P79, DOI 10.1016/B978-008043920-4/50008-2
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Peng M, 2017, ECOL ECON, V136, P41, DOI 10.1016/j.ecolecon.2017.02.003
   Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013
   Potts T, 2016, MAR POLICY, V72, P59, DOI 10.1016/j.marpol.2016.06.012
   QSR International Pty Ltd, 2018, NVivo (Version 12 Plus)
   R Development Core Team, 2009, R: a language and environment for statistical computing
   Ramm TD, 2017, ENVIRON SCI POLICY, V76, P113, DOI 10.1016/j.envsci.2017.06.014
   Rowlands I.H., 2003, Business Strategy and the Environment, V12, P36, DOI 10.1002/bse.346
   Ruiz-Frau A, 2011, MAR ECOL PROG SER, V434, P239, DOI 10.3354/meps09136
   Sanna S, 2017, ECOSYST SERV, V26, P1, DOI 10.1016/j.ecoser.2017.05.010
   Saunders A., 2007, Manag. Vertebr. Invasive Species, P28
   Scott D, 2008, CLIM RES, V38, P61, DOI 10.3354/cr00774
   Simberloff D, 2013, TRENDS ECOL EVOL, V28, P58, DOI 10.1016/j.tree.2012.07.013
   Sutcliffe C, 2018, BIOL INVASIONS, V20, P399, DOI 10.1007/s10530-017-1541-y
   Tadaki M, 2017, ECOL SOC, V22, DOI 10.5751/ES-08999-220107
   Veitch C.R., 2001, P63
   Watts P.D., 2014, Canadian Journal of Action Research, V15, P3, DOI [10.33524/cjar.v15i1.117, DOI 10.33524/CJAR.V15I1.117]
   Winthrop RH, 2014, ECOL ECON, V108, P208, DOI 10.1016/j.ecolecon.2014.10.005
   Zhang L, 2012, ENERG POLICY, V51, P514, DOI 10.1016/j.enpol.2012.08.053
NR 80
TC 1
Z9 1
U1 4
U2 4
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 JUL
PY 2024
VL 157
AR 103786
DI 10.1016/j.envsci.2024.103786
EA MAY 2024
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA TM5U7
UT WOS:001241701900001
DA 2025-01-10
ER

PT J
AU Lan, L
   Mushtaq, S
   Wang, QX
   Barlis, A
   Deniau, A
   Byrareddy, VM
   Anh, HT
   Swaans, K
AF Lan, Le
   Mushtaq, Shahbaz
   Wang, Qingxia (Jenny)
   Barlis, Angelica
   Deniau, Aline
   Byrareddy, Vivekananda Mittahalli
   Anh, Huynh Tan
   Swaans, Kees
TI Are Vietnamese coffee farmers willing to pay for weather index
   insurance?
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Climate risk; Coffee; Willingness to pay (WTP); Weather index insurance
   (WII); Contingent valuation
ID CLIMATE-CHANGE ADAPTATION; CONTINGENT VALUATION; CHOICE EXPERIMENTS;
   RISK PREFERENCES; FIELD EXPERIMENT; CROP; AGRICULTURE; IMPACTS; DEMAND;
   VARIABILITY
AB Global coffee production experiences detrimental impacts of climate change. Weather index insurance (WII) offers an opportunity for coffee farmers to mitigate the climate risks in production and motivate them to adopt sustainable farming practices. This study explores Vietnamese farmers' willingness to participate and pay for WII schemes for coffee. A contingent valuation survey was employed on a sample of 151 farmers from the two largest coffee production areas: Lam Dong and Dak Lak provinces. The findings revealed that farmers are willing to pay, on average, US$92.30 per policy for a premium on insurance products. We also found that farmers in Lam Dong are willing to pay more than those in Dak Lak despite fewer Lam Dong farmers being willing to participate in the insurance schemes. The majority of farmers prefer drought to be insured within 3 months of coffee blossom, from February to April. Factors influencing farmers' decision to join the insurance schemes include education, farm size, climate change perception and experiences, and insurance knowledge. The study suggests that the current coffee industry co-contribution to insurance premiums could potentially be reduced by up to 90 %. However, caution must be taken when adjusting co-contribution, as farmers' willingness to pay is heterogeneous. In addition, raising awareness of the impact of climate change on crop production and insurance knowledge training is critical to ensure an increased number of participants in the schemes. The recommendations from this study will contribute to improving the design of coffee insurance products that are tailored to local needs and preferences and will assist in upscaling the products' outreach in the Coffee Climate Protection Insurance Program.
C1 [Lan, Le; Barlis, Angelica; Swaans, Kees] Alliance Biovers Int & Int Ctr Trop Agr CIAT, Hanoi, Vietnam.
   [Mushtaq, Shahbaz; Wang, Qingxia (Jenny); Byrareddy, Vivekananda Mittahalli] Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Qld, Australia.
   [Wang, Qingxia (Jenny)] Univ Southern Queensland, Sch Business, Brisbane, Qld, Australia.
   [Deniau, Aline; Anh, Huynh Tan] ECOM Agroind, Sustainable Management Serv, Ho Chi Minh City, Vietnam.
   [Lan, Le] Asian Dev Bank, Mandaluyong, Philippines.
C3 University of Southern Queensland; University of Southern Queensland;
   Asian Development Bank
RP Wang, QX (corresponding author), Univ Southern Queensland, Sch Business, Brisbane, Qld, Australia.
EM lnlan@adb.org; shahbaz.mushtaq@unisq.edu.au; jenny.wang2@unisq.edu.au;
   a.barlis@cgiar.org; aline.deniau@ecomtrading.com;
   vivekananda.mittahallibyrareddy@unisq.edu.au; huynhanh03@gmail.com;
   c.swaans@cgiar.org
OI Mittahalli Byrareddy, Vivekananda/0000-0002-0460-7710
FU International Climate Initiative (IKI) of the German Federal Ministry
   for Economic Affairs and Climate Action (BMU); University of Southern
   Queensland; Alliance of Bioversity International; Australia -India
   Strategic Research Fund (AISRF); Australian Research Council 's grant
   [IE230100435]; Australian Research Council [IE230100435] Funding Source:
   Australian Research Council
FX The authors thank for the support from the International Climate
   Initiative (IKI) of the German Federal Ministry for Economic Affairs and
   Climate Action (BMU) , the World Meteorological Organization (WMO) , the
   University of Southern Queensland (UniSQ) , and the Alliance of
   Bioversity International and CIAT, together with its country and field
   partners. The support from the Australia-India Strategic Research Fund
   (AISRF) is also appreciated. Q.X. Wang would like to thank the
   Australian Research Council 's grant (Grant Number IE230100435) . We are
   grateful to all members who made contributions to the implementation of
   the project.We acknowledge four anonymous reviewers who have provided
   constructive comments to significantly improve the quality of this
   manuscript.
CR Abugri S.A., 2017, Agriculture Food Security, V6, P71, DOI DOI 10.1186/S40066-017-0152-2
   Adamowicz W, 1998, AM J AGR ECON, V80, P64, DOI 10.2307/3180269
   Adjabui JA, 2019, AGRIC FINANCE REV, V79, P491, DOI [10.1108/AFR-01-2019-0001, 10.1108/afr-01-2019-0001]
   Aires F., 2023, Working paper,
   Aizaki H, 2021, PADDY WATER ENVIRON, V19, P307, DOI 10.1007/s10333-020-00838-z
   Akaichi F, 2016, J AGR ENVIRON ETHIC, V29, P969, DOI 10.1007/s10806-016-9642-7
   Akter S, 2016, GLOBAL ENVIRON CHANG, V38, P217, DOI 10.1016/j.gloenvcha.2016.03.010
   Alberini A, 2006, HANDBOOK ON CONTINGENT VALUATION, P1
   Ali W, 2021, AUST J AGR RESOUR EC, V65, P679, DOI 10.1111/1467-8489.12434
   [Anonymous], 2016, STATE FOOD AGR 2016
   Bacon CM, 2017, WORLD DEV, V93, P136, DOI 10.1016/j.worlddev.2016.12.025
   Barnett BJ, 2007, AM J AGR ECON, V89, P1241, DOI 10.1111/j.1467-8276.2007.01091.x
   Bastianin A, 2018, AGR ECON-BLACKWELL, V49, P623, DOI 10.1111/agec.12447
   Bateman I, 2002, Economic valuation with stated preference techniques: a manual, V50
   Belissa TK, 2020, J ECON BEHAV ORGAN, V180, P718, DOI 10.1016/j.jebo.2019.07.018
   Bianco G. B., 2020, International Journal of Corporate Social Responsibility, V5, P1, DOI [10.1186/s40991-020-00048-0, DOI 10.1186/S40991-020-00048-0]
   Bilen C, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12010102
   Binswanger-Mkhize HP, 2012, J DEV STUD, V48, P187, DOI 10.1080/00220388.2011.625411
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Byrareddy V, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100229
   Cai HB, 2015, REV ECON STAT, V97, P287, DOI 10.1162/REST_a_00476
   Cai J, 2016, AM ECON J-ECON POLIC, V8, P44, DOI 10.1257/pol.20130371
   Carson R., 2014, The discrete choice experiment approach to environmental contingent valuation
   Carson RT, 2000, ENVIRON SCI TECHNOL, V34, P1413, DOI 10.1021/es990728j
   Carter M, 2017, ANNU REV RESOUR ECON, V9, P421, DOI 10.1146/annurev-resource-100516-053352
   Chiappori PA, 2000, J POLIT ECON, V108, P56, DOI 10.1086/262111
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Cole SA, 2017, ANNU REV ECON, V9, P235, DOI 10.1146/annurev-economics-080315-015225
   Crosetto P, 2013, J RISK UNCERTAINTY, V47, P31, DOI 10.1007/s11166-013-9170-z
   Doherty E, 2021, J ENVIRON MANAGE, V290, DOI 10.1016/j.jenvman.2021.112607
   Dohmen T, 2011, J EUR ECON ASSOC, V9, P522, DOI 10.1111/j.1542-4774.2011.01015.x
   Dougherty JP, 2020, J ECON BEHAV ORGAN, V175, P155, DOI 10.1016/j.jebo.2020.04.016
   Elahed G, 2015, J ECON BEHAV ORGAN, V118, P150, DOI 10.1016/j.jebo.2015.03.002
   Fahad S, 2018, LAND USE POLICY, V72, P570, DOI 10.1016/j.landusepol.2017.12.024
   Fain SJ, 2018, CLIMATIC CHANGE, V146, P175, DOI 10.1007/s10584-017-1949-5
   Fisher S., 2012, ROLES PUBLIC PRIVATE
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   Ghosh RK, 2021, J AGR ECON, V72, P293, DOI 10.1111/1477-9552.12403
   Gine X, 2008, WORLD BANK ECON REV, V22, P539, DOI 10.1093/wber/lhn015
   Glauber J. W., 2004, American Journal of Agricultural Economics, V86, P1179, DOI 10.1111/j.0002-9092.2004.00663.x
   Gómez-Limón JA, 2023, AGR WATER MANAGE, V276, DOI 10.1016/j.agwat.2022.108054
   Haab T. C., 2002, Valuing environmental and natural resources: the econometrics of non-market valuation
   HANEMANN M, 1991, AM J AGR ECON, V73, P1255, DOI 10.2307/1242453
   Hanley N, 1998, J AGR ECON, V49, P1, DOI 10.1111/j.1477-9552.1998.tb01248.x
   Hanley N, 1998, ENVIRON RESOUR ECON, V11, P413, DOI 10.1023/A:1008287310583
   Hansson H, 2012, J RISK RES, V15, P737, DOI 10.1080/13669877.2012.657217
   He J, 2017, J ENVIRON ECON POLIC, V6, P51, DOI 10.1080/21606544.2016.1199976
   Holt CA, 2002, AM ECON REV, V92, P1644, DOI 10.1257/000282802762024700
   Hossain MS, 2022, J CLEAN PROD, V338, DOI 10.1016/j.jclepro.2022.130584
   IPCC, 2022, WORK GROUP 3 CONTR 6
   Jayakumar M, 2017, CLIMATIC CHANGE, V145, P335, DOI 10.1007/s10584-017-2101-2
   Jensen N, 2017, APPL ECON PERSPECT P, V39, P199, DOI 10.1093/aepp/ppw022
   Jin JJ, 2016, INT J DISAST RISK SC, V7, P366, DOI 10.1007/s13753-016-0108-3
   Jin JJ, 2015, LAND USE POLICY, V47, P365, DOI 10.1016/j.landusepol.2015.04.028
   Kath J, 2020, GLOBAL CHANGE BIOL, V26, P3677, DOI 10.1111/gcb.15097
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   King M, 2020, FOOD POLICY, V94, DOI 10.1016/j.foodpol.2020.101861
   Koh I, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba471
   Kuehne G, 2017, AGR SYST, V156, P115, DOI 10.1016/j.agsy.2017.06.007
   Kwadzo T-M.G., 2013, RES APPL EC, V5, P1, DOI [DOI 10.5296/RAE.V5I1.2617, 10.5296/rae.v5i1.2617]
   Läderach P, 2017, CLIMATIC CHANGE, V141, P47, DOI 10.1007/s10584-016-1788-9
   Liu XL, 2019, INT J DISAST RISK RE, V33, P33, DOI 10.1016/j.ijdrr.2018.09.006
   Llewellyn RS, 2020, APPL ECON PERSPECT P, V42, P100, DOI 10.1002/aepp.13012
   Lopez-Feldman A., 2012, Introduction to contingent valuation using Stata
   Luong QV, 2006, AGR ECON-BLACKWELL, V35, P49, DOI 10.1111/j.1574-0862.2006.00138.x
   Maart-Noelck SC, 2014, AUST J AGR RESOUR EC, V58, P336, DOI 10.1111/j.1467-8489.2012.00620.x
   Maganga AM, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102406
   McIntosh C, 2019, ECON J, V129, P2581, DOI 10.1093/ej/uez005
   Meraner M, 2019, J RISK RES, V22, P110, DOI 10.1080/13669877.2017.1351476
   Miranda MJ, 2012, APPL ECON PERSPECT P, V34, P391, DOI 10.1093/aepp/pps031
   Miranda MJ, 1997, AM J AGR ECON, V79, P206, DOI 10.2307/1243954
   Mobarak AM, 2013, AM ECON REV, V103, P375, DOI 10.1257/aer.103.3.375
   Naranjo MA, 2019, J ECON BEHAV ORGAN, V166, P12, DOI 10.1016/j.jebo.2019.09.004
   Nguyen AD, 2011, CARBOHYD POLYM, V84, P751, DOI 10.1016/j.carbpol.2010.07.066
   Anh NNQ, 2019, ENVIRON HAZARDS-UK, V18, P212, DOI 10.1080/17477891.2018.1540342
   Nguyen P. L., 2018, J. Agric. Environ. Sci, V2018, DOI [10.20944/preprints201812.0337.v1, DOI 10.15640/JAES]
   Nordmeyer EF, 2023, J ENVIRON MANAGE, V345, DOI 10.1016/j.jenvman.2023.118866
   Ovalle-Rivera O, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124155
   PATRICK GF, 1988, AUST J AGR ECON, V32, P37, DOI 10.1111/j.1467-8489.1988.tb00474.x
   Pham Y, 2019, CLIMATIC CHANGE, V156, P609, DOI 10.1007/s10584-019-02538-y
   Phan V, 2013, Initiative For Coffee and Climate, V49
   Rayamajhee V, 2022, CLIM DEV, V14, P557, DOI 10.1080/17565529.2021.1949574
   Shee A, 2012, AGR ECON-BLACKWELL, V43, P561, DOI 10.1111/j.1574-0862.2012.00603.x
   Sibiko KennethW., 2018, AGR FOOD SECURITY, V7, P53, DOI [DOI 10.1186/S40066-018-0200-6, 10.1186/s40066-018-0200-6, 10.1186/S40066-018-0200-6/TABLES/6]
   Smith V.H., 2019, GATES OPEN RES, V3, P65, DOI 10.21955/gatesopenres.1114971.1
   Tadesse A.M., 2015, AGR FOOD ECON, V3, P26, DOI [10.1186/s40100-015-0044-3, DOI 10.1186/S40100-015-0044-3]
   Tang YM, 2021, INT J DISAST RISK SC, V12, P281, DOI 10.1007/s13753-021-00335-9
   Taniwaki MH, 2014, FOOD RES INT, V61, P161, DOI 10.1016/j.foodres.2013.12.032
   Ho TQ, 2017, ECON ANAL POLICY, V56, P114, DOI 10.1016/j.eap.2017.09.002
   Tue VM, 2015, J HYDROL, V526, P265, DOI 10.1016/j.jhydrol.2014.11.006
   Van Asseldonk M, 2020, STUD AGRIC ECON, V122, P162, DOI 10.7896/j.2053
   Wang HH, 2003, J RISK INSUR, V70, P111
   Westermann O, 2018, AGR SYST, V165, P283, DOI 10.1016/j.agsy.2018.07.007
   Zimmerman FJ, 2003, J DEV ECON, V71, P233, DOI 10.1016/S0304-3878(03)00028-2
NR 94
TC 2
Z9 3
U1 7
U2 13
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 JAN
PY 2024
VL 100
AR 104185
DI 10.1016/j.ijdrr.2023.104185
EA DEC 2023
PG 16
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA EV3S6
UT WOS:001141674800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Peretti, M
   Spennemann, PC
   Long, MEF
AF Peretti, M.
   Spennemann, P. C.
   Long, M. E. Fernandez
TI Trends in soil moisture content and water deficits in Argentina and the
   role of climate contribution
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID REFERENCE EVAPOTRANSPIRATION; TEMPORAL TREND; PRECIPITATION;
   VARIABILITY; SENSITIVITY; VARIABLES; DROUGHT; DRIVEN
AB Soil moisture and meteorological variables are strongly related to each other through different fluxes, constituting a complex network of interactions and feedbacks. Therefore, a better understanding of the temporal and spatial variability of soil moisture and its relationship with meteorological variables acquires a particular interest, especially under climate change conditions. Based on the gap in studies addressing this topic in Argentina, this study aimed to evaluate soil moisture content (SMC) and water deficit (DEF) annual trends between 1990 and 2019 and the contribution of different meteorological variables to those trends. To this end, simulations of SMCand DEF were performed by using a hydrological balance model, driven by meteorological observations of 51 sites distributed throughout Argentina. Since precipitation (PP) and potential evapotranspiration (PE) modulate the simulated soil moisture, annual PP and PE trends were also evaluated to assess the importance of these variables on the observed soil moisture changes. Furthermore, the regional contribution of the meteorological variables to the PE trends was assessed by means of a detrended method. Trends detected in SMC and DEF suggest an increase towards drier conditions in some areas of the country. Changes in PE were the main responsible for changes in SMC and DEF and were more relevant than changes in PP. In sites located in the center and east of the country, maximum and mean temperatures had a greater impact on PE. In sites located in the west of the country, changes in PE were mainly controlled by increases in wind speed and decreases in humidity. Examining the spatio-temporal variability of soil water and the meteorological variables that influence soil water is indispensable to assess climate-induced changes and propose feasible climate change adaptation strategies.
C1 [Peretti, M.; Long, M. E. Fernandez] Univ Buenos Aires, Fac Agron, Dept Recursos Nat & Ambiente, Catedra Climatol & Fenol Agr, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
   [Spennemann, P. C.] Consejo Nacl Invest Cient & Tecn CONICET, Serv Meteorol Nacl SMN, Buenos Aires, Argentina.
   [Spennemann, P. C.] Univ Nacl Tres Febrero UNTREF, Buenos Aires, Argentina.
C3 University of Buenos Aires; Consejo Nacional de Investigaciones
   Cientificas y Tecnicas (CONICET)
RP Peretti, M (corresponding author), Univ Buenos Aires, Fac Agron, Dept Recursos Nat & Ambiente, Catedra Climatol & Fenol Agr, Ave San Martin 4453,C1417DSE, Buenos Aires, Argentina.
EM merperetti@agro.uba.ar; pspennemann@smn.gob.ar; flong@agro.uba.ar
FU Universidad de Buenos Aires UBACyT [20020190200237BA]; Agencia Nacional
   de Promocion Cientifica y Tecnologica (ANPCyT) [PICT 2019-03639]
FX This work was carried out with the aid of the following pro-jects:
   Universidad de Buenos Aires UBACyT 20020190200237BA; and Agencia
   Nacional de Promocion Cientifica y Tecnologica (ANPCyT) PICT 2019-03639.
CR Aiello JL, 1995, AGROSOFT 95 FEIR C I
   Amenu GG, 2005, J CLIMATE, V18, P5024, DOI 10.1175/JCLI3590.1
   BAIER W, 1966, CAN J PLANT SCI, V46, P299, DOI 10.4141/cjps66-049
   Cadro S., 2019, Agriculture and Forestry, V65, P19
   Camilloni I.A., 2018, CIENC INVEST, V68, P5
   Cammalleri C, 2016, INT J CLIMATOL, V36, P4903, DOI 10.1002/joc.4677
   D'Andrea MF, 2019, THEOR APPL CLIMATOL, V136, P1371, DOI 10.1007/s00704-018-2565-7
   de la Casa AC, 2016, J HYDROL-REG STUD, V5, P66, DOI 10.1016/j.ejrh.2015.11.009
   Skansi MD, 2013, GLOBAL PLANET CHANGE, V100, P295, DOI 10.1016/j.gloplacha.2012.11.004
   Deng YH, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105939
   Dorigo WA, 2011, HYDROL EARTH SYST SC, V15, P1675, DOI 10.5194/hess-15-1675-2011
   Dorigo W, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052988
   Dymond SF, 2014, SOIL SCI SOC AM J, V78, pS208, DOI 10.2136/sssaj2013.08.0322nafsc
   Fernandez Long ME, 2018, ACT 17 REUN ARG AGR, P78
   Fernandez-Long ME., 2012, REV AGRON AMBIENT, V32, P31
   Gong LB, 2006, J HYDROL, V329, P620, DOI 10.1016/j.jhydrol.2006.03.027
   Holsten A, 2009, ECOL MODEL, V220, P2076, DOI 10.1016/j.ecolmodel.2009.04.038
   Hu SS, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11178013
   Li XY, 2020, INT J CLIMATOL, V40, P188, DOI 10.1002/joc.6202
   Liu QA, 2010, HYDROL PROCESS, V24, P2171, DOI 10.1002/hyp.7649
   Martin S., 1992, CROPWAT COMPUTER PRO, P46
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Minetti JL, 2003, ATMOSFERA, V16, P119
   Müller GV, 2021, CLIMATE, V9, DOI 10.3390/cli9030040
   PARUELO JM, 1995, ECOLOGY, V76, P510, DOI 10.2307/1941209
   Raes D, 2009, AQUACROP FAO CROP MO
   Barros VR, 2015, WIRES CLIM CHANGE, V6, P151, DOI 10.1002/wcc.316
   Robinson PJ, 2006, PHYS GEOGR, V27, P286, DOI 10.2747/0272-3646.27.4.286
   Saurral RI, 2017, INT J CLIMATOL, V37, P1774, DOI 10.1002/joc.4810
   Seneviratne SI, 2010, EARTH-SCI REV, V99, P125, DOI 10.1016/j.earscirev.2010.02.004
   Sheffield J, 2008, J CLIMATE, V21, P432, DOI 10.1175/2007JCLI1822.1
   Sheffield J, 2012, NATURE, V491, P435, DOI 10.1038/nature11575
   Soares DD, 2017, INT J CLIMATOL, V37, P1483, DOI 10.1002/joc.4792
   Spennemann PC, 2020, J HYDROL-REG STUD, V31, DOI 10.1016/j.ejrh.2020.100723
   Thomas A, 2000, AGR FOREST METEOROL, V102, P71, DOI 10.1016/S0168-1923(00)00126-X
   THORNTHWAITE C.W., 1955, WATER BALANCE PUBLIC, VVIII
   Wang L, 2019, EARTH SYST DYNAM, P1, DOI [10.5194/esd-2019-26, DOI 10.5194/ESD-2019-26]
   WMO, 2017, DIR ORG MET MUND CAL
   WMO, 1989, World Clim. Program, V14
   Xu CY, 2006, J HYDROL, V327, P81, DOI 10.1016/j.jhydrol.2005.11.029
   Zeng P, 2021, ATMOS RES, V261, DOI 10.1016/j.atmosres.2021.105763
NR 41
TC 2
Z9 2
U1 2
U2 10
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 MAY
PY 2023
VL 152
IS 3-4
BP 1189
EP 1201
DI 10.1007/s00704-023-04428-x
EA APR 2023
PG 13
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA H7CH9
UT WOS:000961727200002
DA 2025-01-10
ER

PT J
AU Mansur, M
   Hopkins, J
   Chen, Q
AF Mansur, Maqsood
   Hopkins, Julia
   Chen, Qin
TI Estuarine response to storm surge and sea-level rise associated with
   channel deepening: a flood vulnerability assessment of southwest
   Louisiana, USA
SO NATURAL HAZARDS
LA English
DT Article
DE Channel deepening; Storm surge; Estuarine region; Coastal flood
   vulnerability; Hurricane Laura; Sea-level rise
ID CLIMATE-CHANGE ADAPTATION; TIDAL-WAVE PROPAGATION; TROPICAL CYCLONES;
   IMPACT; TIDES; DYNAMICS; BAY; REDUCTION; EVOLUTION; LAKE
AB This study investigates the sensitivity of the Calcasieu Lake estuarine region to channel deepening in southwest Louisiana in the USA. We test the hypothesis that the depth increase in a navigational channel in an estuarine region results in the amplification of the inland penetration of storm surge, thereby increasing the flood vulnerability of the region. We run numerical experiments using the Delft3D modeling suite (validated with observational data) with different historic channel depth scenarios. Model results show that channel deepening facilitates increased water movement into the lake-estuary system during a storm surge event. The inland peak water level increases by 37% in the presence of the deepest channel. Moreover, the peak volumetric flow rate increases by 291.6% along the navigational channel. Furthermore, the tidal prism and the volume of surge prism passing through the channel inlet increase by 487% and 153.3%, respectively. In our study, the presence of the deepest channel results in extra 56.72 km(2) of flooded area (approximately 12% increase) which is an indication that channel deepening over the years has rendered the region more vulnerable to hurricane-induced flooding. The study also analyzes the impact of channel deepening on storm surge in estuaries under different future sea-level rise (SLR) scenarios. Simulations suggest that even the most conservative scenario of SLR will cause an approximately 51% increase in flooded area in the presence of the deepest ship channel, thereby suggesting that rising sea level will cause increased surge penetration and increased flood risk.
C1 [Mansur, Maqsood; Hopkins, Julia; Chen, Qin] Northeastern Univ, Civil & Environm Engn, Boston, MA 02115 USA.
   [Hopkins, Julia; Chen, Qin] Northeastern Univ, Marine & Environm Sci, Boston, MA 02115 USA.
C3 Northeastern University; Northeastern University
RP Hopkins, J (corresponding author), Northeastern Univ, Civil & Environm Engn, Boston, MA 02115 USA.; Hopkins, J (corresponding author), Northeastern Univ, Marine & Environm Sci, Boston, MA 02115 USA.
EM j.a.hopkins@northeastern.edu
FU U.S. National Science Foundation (NSF) [2139882]; Northeastern
   University Library; Northeastern University Department of Civil and
   Environmental Engineering Fellowship; Div Of Civil, Mechanical, &
   Manufact Inn; Directorate For Engineering [2139882] Funding Source:
   National Science Foundation
FX Open access funding provided by Northeastern University Library. Funding
   for the study has been provided in part by the U.S. National Science
   Foundation (NSF Grants 2139882). Maqsood Mansur's work was partially
   supported by the Northeastern University Department of Civil and
   Environmental Engineering Fellowship.
CR AMIN M, 1983, GEOPHYS J ROY ASTR S, V73, P587, DOI 10.1111/j.1365-246X.1983.tb03334.x
   [Anonymous], 2007, EurOtop. Wave overtopping of sea defences and related structures: assessment manual
   [Anonymous], 2014, DELFT3D FLOW SIMULAT
   Arns A, 2017, SCI REP-UK, V7, DOI 10.1038/srep40171
   Bao SY, 2022, J GEOPHYS RES-OCEANS, V127, DOI 10.1029/2021JC017625
   Barbier EB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0058715
   Bilskie, 2013, HYDRODYNAMIC MODELIN, DOI [10.1061/9780784413067.200, DOI 10.1061/9780784413067.200]
   Blum AG, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086480
   Burchard H, 2018, ANNU REV MAR SCI, V10, P371, DOI 10.1146/annurev-marine-010816-060535
   Cai HY, 2012, J HYDRAUL ENG, V138, P885, DOI 10.1061/(ASCE)HY.1943-7900.0000594
   Cai HY, 2012, J GEOPHYS RES-OCEANS, V117, DOI 10.1029/2012JC008000
   Calcasieu Ship Channel, 2021, PORT LAK CHARL
   Chant RJ, 2018, ESTUAR COAST, V41, P1587, DOI 10.1007/s12237-018-0379-6
   Chen WB, 2016, NAT HAZARDS, V82, P591, DOI 10.1007/s11069-016-2199-y
   Coastal Protection and Restoration Authority of Louisiana, 2017, Louisianas comprehensive master plan for a sustainable coast
   Cox R, 2003, CONT SHELF RES, V23, P1833, DOI 10.1016/j.csr.2003.08.002
   CWPPRA, 1992, CALC SAB RIV BAS STU
   D'Alpaos A., 2010, Journal of Geophysical Research: Earth Surface, V115, DOI DOI 10.1029/2008JF001243
   D'Alpaos A, 2009, REND LINCEI-SCI FIS, V20, P225, DOI 10.1007/s12210-009-0052-x
   de Jonge VN, 2014, ESTUAR COAST SHELF S, V139, P46, DOI 10.1016/j.ecss.2013.12.030
   Dijkstra YM, 2019, J GEOPHYS RES-OCEANS, V124, P1578, DOI 10.1029/2018JC014367
   DiLorenzo JL., 1993, Estuarine and coastal modeling, P86
   Elias E.P.L., 2001, COAST ENG 2000 P 27, P2714, DOI [DOI 10.1061/40549(276)212, 10.1061/40549(276)212]
   Emanuel K, 2005, NATURE, V436, P686, DOI 10.1038/nature03906
   Emanuel K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-27364-8
   Emanuel K, 2020, P NATL ACAD SCI USA, V117, P13194, DOI 10.1073/pnas.2007742117
   Familkhalili R, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2019JC015286
   Familkhalili R, 2016, GEOPHYS RES LETT, V43, P9138, DOI 10.1002/2016GL069494
   Familkhalili R, 2022, OCEAN SCI, V18, P1203, DOI 10.5194/os-18-1203-2022
   Feng BY, 2021, NAT HAZARDS, V106, P613, DOI 10.1007/s11069-020-04480-0
   FRIEDRICHS CT, 1994, J GEOPHYS RES-OCEANS, V99, P3321, DOI 10.1029/93JC03219
   Gero A, 2011, CLIM DEV, V3, P310, DOI 10.1080/17565529.2011.624791
   Haddad J, 2016, NAT HAZARDS, V80, P839, DOI 10.1007/s11069-015-2000-7
   Helaire LT, 2019, J GEOPHYS RES-OCEANS, V124, P7926, DOI 10.1029/2019JC015055
   Hoitink AJF, 2017, NAT GEOSCI, V10, P637, DOI [10.1038/ngeo3000, 10.1038/NGEO3000]
   Holland GJ, 2007, PHILOS T R SOC A, V365, P2695, DOI 10.1098/rsta.2007.2083
   Hopkins J, 2018, J GEOPHYS RES-OCEANS, V123, P5751, DOI 10.1029/2017JC013708
   Hu KL, 2015, COAST ENG, V95, P66, DOI 10.1016/j.coastaleng.2014.09.008
   Hughes SA, 2002, J COASTAL RES, V18, P160
   Islam S, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101540
   Jafari N.H., 2020, Coast. Eng. Proc, V36
   Jalón-Rojas I, 2018, J GEOPHYS RES-OCEANS, V123, P3241, DOI 10.1002/2017JC013466
   Jarrett J.T., 1976, TIDAL PRISM INLET AR
   JAY DA, 1991, J GEOPHYS RES-OCEANS, V96, P20585, DOI 10.1029/91JC01633
   Jay DA, 2011, J WATERW PORT C-ASCE, V137, P182, DOI 10.1061/(ASCE)WW.1943-5460.0000082
   Jensen J, 2003, 6 INT MEDCOAST 2003
   Johnson CL, 2021, COAST ENG, V167, DOI 10.1016/j.coastaleng.2021.103886
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Kaur J, 2007, J GREAT LAKES RES, V33, P62, DOI 10.3394/0380-1330(2007)33[62:MDOIAD]2.0.CO;2
   Kerner M, 2007, ESTUAR COAST SHELF S, V75, P492, DOI 10.1016/j.ecss.2007.05.033
   Kim K.W., 1998, Assessment of Channel Deepening in the Delaware River and Bay. A Three-Dimensional Numerical Model Study
   Klotzbach PJ, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL095774
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   LEE JM, 1990, ESTUARIES, V13, P258, DOI 10.2307/1351916
   Liu K, 2018, COAST ENG, V135, P77, DOI 10.1016/j.coastaleng.2017.12.014
   Loder NM, 2009, ESTUAR COAST SHELF S, V84, P625, DOI 10.1016/j.ecss.2009.07.036
   Lopes CL, 2013, J COASTAL RES, P1158, DOI 10.2112/SI65-196.1
   Manning, 2021, GEN HONORE URGE OFFI
   Marchi E., 1990, RENDICONTI LINCEI, V1, P137, DOI [DOI 10.1007/BF03001888, 10.1007/BF03001888]
   Martin Associates, 2021, EC IMP CALC SHIP CHA
   McGinnis TE, 2019, 2019 BASIN SUMMARY R, P59
   Mitchell T., 2010, Assessing progress on intergrating disaster risk reduction and climate adaptation in development processes
   Narayan S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-09269-z
   NOAA National Centers for Environmental Information, 2021, US BILL DOLL WEATH C
   O'Brien M.P., 1969, J WATERWAYS HARBORS, V95, P43
   O'Brien M.P., 1931, CIVIL ENG, V1, P738
   Orton PM, 2020, NAT HAZARDS, V102, P729, DOI 10.1007/s11069-018-3251-x
   Orton PM, 2015, J MAR SCI ENG, V3, P654, DOI 10.3390/jmse3030654
   Pareja-Roman LF, 2020, J GEOPHYS RES-OCEANS, V125, DOI 10.1029/2020JC016256
   Park H, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12051854
   Rahman A., 2016, INT J INNOV RES SCI, V5, P15610
   Ralston DK, 2019, J GEOPHYS RES-OCEANS, V124, P4784, DOI 10.1029/2019JC015006
   Ralston DK, 2019, J GEOPHYS RES-OCEANS, V124, P196, DOI 10.1029/2018JC014313
   Rathje EM, 2017, NAT HAZARDS REV, V18, DOI 10.1061/(ASCE)NH.1527-6996.0000246
   Rego JL., 2010, P 11 INT C EST COAST, V2009, P89, DOI 10.1061/41121(388)6
   Ross AC, 2017, J GEOPHYS RES-OCEANS, V122, P8102, DOI 10.1002/2017JC012887
   Roueche D, 2021, HYBRID PRELIMINARY V
   Sangita S, 2014, INDIAN J GEO-MAR SCI, V43, P33
   Serrao-Neumann S, 2015, ENVIRON SCI POLICY, V50, P46, DOI 10.1016/j.envsci.2015.01.017
   Shepard CC, 2012, NAT HAZARDS, V60, P727, DOI 10.1007/s11069-011-0046-8
   Siles-Ajamil R, 2019, OCEAN COAST MANAGE, V174, P92, DOI 10.1016/j.ocecoaman.2019.03.015
   Symonds A.M., 2017, COASTAL ENG P, V1, P11, DOI DOI 10.9753/ICCE.V35.CURRENTS.11
   Talke SA, 2021, J GEOPHYS RES-OCEANS, V126, DOI 10.1029/2020JC016328
   Tasnim KM, 2015, NAT HAZARDS, V75, P1619, DOI 10.1007/s11069-014-1387-x
   U.S. Census Bureau, 2020, HURR LAUR
   van Maren DS, 2015, CONT SHELF RES, V95, P1, DOI 10.1016/j.csr.2014.12.010
   van Rijn L, 2018, OCEAN DYNAM, V68, P1457, DOI 10.1007/s10236-018-1204-2
   van Rijn L, 2018, OCEAN DYNAM, V68, P1481, DOI 10.1007/s10236-018-1205-1
   van Rijn LC, 2011, OCEAN DYNAM, V61, P1719, DOI 10.1007/s10236-011-0453-0
   Vecchi GA, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24268-5
   Vellinga NE, 2014, COAST ENG, V90, P40, DOI 10.1016/j.coastaleng.2014.04.005
   Wamsley TV, 2009, NAT HAZARDS, V51, P207, DOI 10.1007/s11069-009-9378-z
   Wang H., 2017, USGS OPEN-FILE REP, V2017-1016, P43, DOI [10.3133/ofr20171016, DOI 10.3133/ofr20171016]
   Wang J, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8020113
   Wang Y, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8110950
   Winterwerp JC, 2013, OCEAN DYNAM, V63, P1279, DOI 10.1007/s10236-013-0662-9
   Yorke, 1978, IMPACT ASSESSMENT WA
   Zarzuelo C, 2015, ESTUAR COAST SHELF S, V167, P75, DOI 10.1016/j.ecss.2015.07.010
   Zhang P, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126153
   Zhang W, 2010, GEOMORPHOLOGY, V120, P209, DOI 10.1016/j.geomorph.2010.03.031
   Zhao HH, 2016, J ENG MECH, V142, DOI 10.1061/(ASCE)EM.1943-7889.0001109
   Zhu J, 2015, ESTUAR COAST, V38, P132, DOI 10.1007/s12237-014-9815-4
NR 102
TC 0
Z9 0
U1 1
U2 19
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 2023
VL 116
IS 3
BP 3879
EP 3897
DI 10.1007/s11069-023-05841-1
EA FEB 2023
PG 19
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA HF4N1
UT WOS:000935049300002
OA hybrid
DA 2025-01-10
ER

PT J
AU Viti, M
   Löwe, R
   Sorup, HJD
   Ladenburg, J
   Gebhardt, O
   Iversen, S
   McKnight, US
   Arnbjerg-Nielsen, K
AF Viti, Martina
   Lowe, Roland
   Sorup, Hjalte J. D.
   Ladenburg, Jacob
   Gebhardt, Oliver
   Iversen, Signe
   McKnight, Ursula S.
   Arnbjerg-Nielsen, Karsten
TI Holistic valuation of Nature-Based Solutions accounting for human
   perceptions and nature benefits
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Nature -based solutions; Willingness to pay; Climate change adaptation;
   Hydrometeorological risk; Holistic assessment
ID GREEN; INFRASTRUCTURE; PREFERENCES; DISTANCE; CHOICE
AB When assessing strategies for implementing Nature-Based Solutions (NBS), it is paramount to identify and quantify all benefits for securing better, informed decisionmaking. Nevertheless, there appears to be a lack of primary data for linking the valuation of NBS sites with the preferences and attitudes of people interacting with them and their connection to supporting efforts to reduce biodiversity loss. This is a critical gap, as the socio-cultural context of NBS has been proven to play a big role in NBS valuation, especially for their non-tangible benefits (e.g. physical and psychological well-being, habitat enhancements, etc.). Consequently, through coc-reation with the local government, we co-designed a contingent valuation (CV) survey to explore how the valuation of NBS sites may be shaped by their relationship with the users and the specific respondent and site characteristics. We applied this method to a case study of two distinct areas located in Aarhus, Denmark, with notable differences related to their attributes (e.g. size, location, time passed since construction). The esults obtained from 607 households in Aarhus Municipality show that the personal preferences of the respondent are the most relevant driver of value, surpassing both the perceptions linked to the physical features of the NBS and the socio-economic characteristics of the respondents. Specifically, the respondents attributing most importance to nature benefits were the ones assigning a higher value to the NBS and being willing to pay more for an improvement of the nature quality in the area. These findings highlight the relevance of applying a method assessing the interconnections between human perceptions and nature benefits to ensure a holistic valuation and purposeful design of NBS.
C1 [Viti, Martina; Lowe, Roland; Sorup, Hjalte J. D.; Arnbjerg-Nielsen, Karsten] Tech Univ Denmark, Dept Environm & Resource Engn, Bygningstorvet Bldg 115, DK-2800 Lyngby, Denmark.
   [McKnight, Ursula S.] Swedish Meteorol & Hydrol Inst, Folkborgsvagen 17, S-60176 Norrkoping, Sweden.
   [Ladenburg, Jacob] Tech Univ Denmark, Dept Technol Management & Econ, Akademivej Bldg 358, DK-2800 Lyngby, Denmark.
   [Gebhardt, Oliver] Helmholtz Ctr Environm Res, Dept Econ, Permoserstr 15, D-04318 Leipzig, Germany.
   [Iversen, Signe] Dept Technol & Environm, Karen Blixens Blvd 7, DK-8220 Brabrand, Denmark.
C3 Technical University of Denmark; Swedish Meteorological & Hydrological
   Institute; Technical University of Denmark; Helmholtz Association;
   Helmholtz Center for Environmental Research (UFZ)
RP Viti, M (corresponding author), Tech Univ Denmark, Dept Environm & Resource Engn, Bygningstorvet Bldg 115, DK-2800 Lyngby, Denmark.
EM martvit@dtu.dk
RI McKnight, Ursula/HII-5158-2022; Ladenburg, Jacob/GPP-5997-2022; Sørup,
   Hjalte/R-5263-2018; Loewe, Roland/AAQ-2793-2020; Arnbjerg-Nielsen,
   Karsten/J-7792-2012; McKnight, Ursula Solard/F-4498-2012
OI Ladenburg, Jacob/0000-0002-1095-1534; Sorup, Hjalte Jomo
   Danielsen/0000-0002-7110-6975; Arnbjerg-Nielsen,
   Karsten/0000-0002-6221-9505; Lowe, Roland/0000-0002-5549-5456; McKnight,
   Ursula Solard/0000-0001-8363-8672; Viti, Martina/0000-0003-2259-8325
FU European Union?s Horizon 2020 Research and Innovation program [776866]
FX We thank several colleagues for valuable comments on preliminary
   versions of the survey. Special thanks are due to Aarhus Municipality
   for great advice concerning the development and testing of the survey,
   and support for the mail distribution. This research was funded by the
   European Union?s Horizon 2020 Research and Innovation program under
   grant agreement No. 776866 for the RECONECT (Regenerating ECOsystems
   with Nature -based solu- tions for hydro -meteorological risk rEduCTion)
   project.
CR Aarhus Kommune, 2014, KLIM 2014 TILP MER V, P1
   Adamowicz W., 1998, Introduction to attribute-based stated choice methods
   Alves A, 2019, J ENVIRON MANAGE, V239, P244, DOI 10.1016/j.jenvman.2019.03.036
   Anderson CC, 2022, J ENVIRON MANAGE, V310, DOI 10.1016/j.jenvman.2022.114727
   Ando AW, 2020, J ENVIRON ECON MANAG, V99, DOI 10.1016/j.jeem.2019.102274
   [Anonymous], 2013, Using Surveys to Value Public Goods: The Contingent Valuation Method
   [Anonymous], 2020, IUCN Global Standard for Nature-based Solutions, VFirst
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on "Nature based solutions and re naturing cities.", DOI DOI 10.2777/479582
   Bernath K, 2008, J ENVIRON MANAGE, V89, P155, DOI 10.1016/j.jenvman.2007.01.059
   Bockarjova M, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106480
   Bonnichsen O., 2015, NORDIC J HLTH EC, V3, P283, DOI [10.5617/njhe.645, DOI 10.5617/NJHE.645]
   Bonnichsen O, 2009, J CHOICE MODEL, V2, P200
   Boyle E, 2021, CLIN EPIDEMIOL, V13, P397, DOI 10.2147/CLEP.S293186
   Carson R.T., 1991, MEASURING DEMAND ENV
   Cohen-Shacham E., 2016, NATURE BASED SOLUTIO, V97, P2016
   Crawley M.J., 2005, Statistics: An introduction using R
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Díaz S, 2018, SCIENCE, V359, P270, DOI 10.1126/science.aap8826
   European Commission, 2021, Eur. Comm., V6, P951
   European Commission, 2021, SOLUTIONS HDB PRACTI, DOI [10.2777/244577, DOI 10.2777/244577]
   Han SJ, 2019, WATER-SUI, V11, DOI 10.3390/w11122599
   Hérivaux C, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020587
   IUCN, 2012, The IUCN programme 2013-2016
   Johnston RJ, 2017, J ASSOC ENVIRON RESO, V4, P319, DOI 10.1086/691697
   Jorgensen SL, 2013, ECOL ECON, V92, P58, DOI 10.1016/j.ecolecon.2012.07.015
   Knudsen BT, 2022, SPACE CULT, V25, P720, DOI 10.1177/1206331219863312
   Ladenburg J., 2021, HVORDAN ARBEJDEDE 6
   Liebelt V, 2018, ECOL ECON, V146, P536, DOI 10.1016/j.ecolecon.2017.12.006
   LOUVIERE JJ, 1983, J MARKETING RES, V20, P350, DOI 10.2307/3151440
   Madureira H, 2015, URBAN FOR URBAN GREE, V14, P56, DOI 10.1016/j.ufug.2014.11.008
   Meyerhoff J, 2008, ENVIRON RESOUR ECON, V39, P433, DOI 10.1007/s10640-007-9134-3
   Pearce D., 1993, Economic values and the natural world.
   Pearce D., 2002, EC VALUATION STATED, DOI DOI 10.4337/9781781009727
   Presser S, 2004, PUBLIC OPIN QUART, V68, P109, DOI 10.1093/poq/nfh008
   Ramajo-Hernández J, 2012, ENVIRON SCI POLICY, V22, P47, DOI 10.1016/j.envsci.2012.05.006
   Reynaud A, 2017, ECOSYST SERV, V27, P70, DOI 10.1016/j.ecoser.2017.07.015
   Schaich H, 2009, LANDSCAPE URBAN PLAN, V93, P20, DOI 10.1016/j.landurbplan.2009.05.020
   Schläpfer F, 2004, ECOL ECON, V51, P1, DOI 10.1016/j.ecolecon.2004.04.006
   Sharifi A, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103190
   Skrydstrup J, 2022, J ENVIRON MANAGE, V320, DOI 10.1016/j.jenvman.2022.115724
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   SUTHERLAND RJ, 1985, LAND ECON, V61, P281, DOI 10.2307/3145843
   Tibesigwa B, 2020, CITIES, V106, DOI 10.1016/j.cities.2020.102853
   Venkataramanan V, 2020, SCI TOTAL ENVIRON, V720, DOI 10.1016/j.scitotenv.2020.137606
   Viti M, 2022, SCI TOTAL ENVIRON, V841, DOI 10.1016/j.scitotenv.2022.156636
NR 46
TC 6
Z9 6
U1 7
U2 33
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 2023
VL 334
AR 117498
DI 10.1016/j.jenvman.2023.117498
EA FEB 2023
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 9M9TC
UT WOS:000942562800001
PM 36801689
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Manware, M
   Dubrow, R
   Carrión, D
   Ma, YQ
   Chen, K
AF Manware, Mitchell
   Dubrow, Robert
   Carrion, Daniel
   Ma, Yiqun
   Chen, Kai
TI Residential and Race/Ethnicity Disparities in Heat Vulnerability in the
   United States
SO GEOHEALTH
LA English
DT Article
ID PARTICULATE AIR-POLLUTION; EXTREME HEAT; HOSPITAL ADMISSIONS;
   HIGH-TEMPERATURES; CLIMATE-CHANGE; MORTALITY; WAVE; DEATHS; INDEX; CITY
AB Adverse health outcomes caused by extreme heat represent the most direct human health threat associated with the warming of the Earth's climate. Socioeconomic, demographic, health, land cover, and temperature determinants contribute to heat vulnerability; however, nationwide patterns of residential and race/ethnicity disparities in heat vulnerability in the United States are poorly understood. This study aimed to develop a Heat Vulnerability Index (HVI) for the United States; to assess differences in heat vulnerability across geographies that have experienced historical and/or contemporary forms of marginalization; and to quantify HVI by race/ethnicity. Principal component analysis was used to calculate census tract level HVI scores based on the 2019 population characteristics of the United States. Differences in HVI scores were analyzed across the Home Owners' Loan Corporation (HOLC) "redlining" grades, the Climate and Economic Justice Screening Tool (CEJST) disadvantaged versus non-disadvantaged communities, and race/ethnicity groups. HVI scores were calculated for 55,267 U.S. census tracts. Mean HVI scores were 17.56, 18.61, 19.45, and 19.93 for HOLC grades "A"-"D," respectively. CEJST-defined disadvantaged census tracts had a significantly higher mean HVI score (19.13) than non-disadvantaged tracts (16.68). The non-Hispanic African American or Black race/ethnicity group had the highest HVI score (18.51), followed by Hispanic or Latino (18.19). Historically redlined and contemporary CEJST disadvantaged census tracts and communities of color were found to be associated with increased vulnerability to heat. These findings can help promote equitable climate change adaptation policies by informing policymakers about the national distribution of place- and race/ethnicity-based disparities in heat vulnerability.
C1 [Manware, Mitchell] Yale Sch Publ Hlth, Dept Social & Behav Sci, New Haven, CT USA.
   [Manware, Mitchell; Dubrow, Robert; Carrion, Daniel; Ma, Yiqun; Chen, Kai] Yale Sch Publ Hlth, Yale Ctr Climate Change & Hlth, New Haven, CT 06510 USA.
   [Dubrow, Robert; Carrion, Daniel; Ma, Yiqun; Chen, Kai] Yale Sch Publ Hlth, Dept Environm Hlth Sci, New Haven, CT 06510 USA.
C3 Yale University; Yale University; Yale University
RP Chen, K (corresponding author), Yale Sch Publ Hlth, Yale Ctr Climate Change & Hlth, New Haven, CT 06510 USA.; Chen, K (corresponding author), Yale Sch Publ Hlth, Dept Environm Hlth Sci, New Haven, CT 06510 USA.
EM kai.chen@yale.edu
RI Carrion, Daniel/AAS-4689-2021; chen, kai/Y-2226-2018
OI Carrion, Daniel/0000-0001-6284-1508; Manware,
   Mitchell/0009-0003-6440-6106; chen, kai/0000-0002-0164-1112
FU Yale Planetary Solutions Project seed grant; High Tide Foundation
FX We gratefully acknowledge support from the Yale Planetary Solutions
   Project seed grant and the High Tide Foundation.
CR Aaronson D, 2021, AM ECON J-ECON POLIC, V13, P355, DOI 10.1257/pol.20190414
   Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   [Anonymous], 2021, CAL ENV SCREEN 4 0
   [Anonymous], 2019, 2010 RURAL URBAN COM
   [Anonymous], 2022, Climate and Economic Justice Screening Tool
   [Anonymous], 2019, POV STAT 12 MONTHS
   Avashia V, 2021, LANDSCAPE URBAN PLAN, V212, DOI 10.1016/j.landurbplan.2021.104107
   Bark N, 1998, PSYCHIATR SERV, V49, P1088, DOI 10.1176/ps.49.8.1088
   BARK NM, 1982, HOSP COMMUNITY PSYCH, V33, P474
   Basu R, 2008, EPIDEMIOLOGY, V19, P138, DOI 10.1097/EDE.0b013e31815c1da7
   Bell ML, 2009, EPIDEMIOLOGY, V20, P682, DOI 10.1097/EDE.0b013e3181aba749
   Bouchama A, 2007, ARCH INTERN MED, V167, P2170, DOI 10.1001/archinte.167.20.ira70009
   Bravo MA, 2016, ENVIRON INT, V92-93, P247, DOI 10.1016/j.envint.2016.04.008
   BUECHLEY RW, 1972, ENVIRON RES, V5, P85, DOI 10.1016/0013-9351(72)90022-9
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   CATTELL RB, 1966, MULTIVAR BEHAV RES, V1, P245, DOI 10.1207/s15327906mbr0102_10
   Chen K, 2016, ENVIRON HEALTH PERSP, V124, P1863, DOI 10.1289/EHP204
   Chow WTL, 2012, PROF GEOGR, V64, P286, DOI 10.1080/00330124.2011.600225
   CLARKE JF, 1972, ENVIRON RES, V5, P93, DOI 10.1016/0013-9351(72)90023-0
   Clarke P., 2019, National Neighborhood Data Archive (NaNDA): Land cover by census tract, United States, 20012016, DOI [10.3886/E110663V1, DOI 10.3886/E110663V1]
   Climate and Economic Justice Screening Tool, 2022, COUNC ENV QUAL
   Conlon KC, 2020, ENVIRON HEALTH PERSP, V128, DOI 10.1289/EHP4030
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   Denzin N.K., 1994, HDB QUALITATIVE RES, pxi, DOI DOI 10.1021/BK-1994-0578.PR001
   Didan K., 2015, MOD13A2 MODIS/Terra Vegetation Indices 16-DayL3 Global 1km SIN Grid V006 Data set WWW Document, DOI [DOI 10.5067/MODIS/MOD13A2.006, 10.5067/MODIS/MOD13A2.061, DOI 10.5067/MODIS/MOD13A2.061]
   Fard BJ, 2021, GEOHEALTH, V5, DOI 10.1029/2021GH000478
   Gee GC, 2004, ENVIRON HEALTH PERSP, V112, P1645, DOI 10.1289/ehp.7074
   Global Burden of Disease Collaborative Network, 2020, GLOBAL BURDEN DIS ST
   Good EJ, 2016, J GEOPHYS RES-ATMOS, V121, P8801, DOI 10.1002/2016JD025318
   Gronlund CJ, 2016, CLIMATIC CHANGE, V136, P631, DOI 10.1007/s10584-016-1638-9
   Gronlund CJ, 2015, ENVIRON RES, V136, P449, DOI 10.1016/j.envres.2014.08.042
   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]
   Hansen A, 2013, GLOBAL HEALTH ACTION, V6, P1, DOI 10.3402/gha.v6i0.21364
   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
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Hu KJ, 2019, ENVIRON HEALTH PERSP, V127, DOI 10.1289/EHP3556
   Iglay K, 2016, CURR MED RES OPIN, V32, P1243, DOI 10.1185/03007995.2016.1168291
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Johnson DP, 2009, APPL GEOGR, V29, P419, DOI 10.1016/j.apgeog.2008.11.004
   Jolliffe IT, 2016, PHILOS T R SOC A, V374, DOI 10.1098/rsta.2015.0202
   JONES TS, 1982, JAMA-J AM MED ASSOC, V247, P3327, DOI 10.1001/jama.247.24.3327
   Kaiser R, 2001, AM J FOREN MED PATH, V22, P303, DOI 10.1097/00000433-200109000-00022
   KILBOURNE EM, 1982, JAMA-J AM MED ASSOC, V247, P3332, DOI 10.1001/jama.247.24.3332
   Knowlton K, 2009, ENVIRON HEALTH PERSP, V117, P61, DOI 10.1289/ehp.11594
   Lee K, 2009, GLOB INST, P1
   Li DY, 2022, ENVIRON PLAN B-URBAN, V49, P933, DOI 10.1177/23998083211039854
   Lin S, 2009, EPIDEMIOLOGY, V20, P738, DOI 10.1097/EDE.0b013e3181ad5522
   Lopez R, 2002, ENVIRON HEALTH PERSP, V110, P289, DOI 10.1289/ehp.02110s2289
   Maier G, 2014, WEATHER CLIM SOC, V6, P253, DOI 10.1175/WCAS-D-13-00037.1
   Mallen E, 2019, URBAN CLIM, V30, DOI 10.1016/j.uclim.2019.100528
   McGeehin MA, 2001, ENVIRON HEALTH PERSP, V109, P185, DOI 10.2307/3435008
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Meier H. C. S., 2021, HIST REDLINING SCORE, DOI [10.3886/E141121V1, DOI 10.3886/E141121V1]
   Morello-Frosch R, 2006, ENVIRON HEALTH PERSP, V114, P386, DOI 10.1289/ehp.8500
   Namin S, 2020, SOC SCI MED, V246, DOI 10.1016/j.socscimed.2019.112758
   Nardone A, 2021, ENVIRON HEALTH PERSP, V129, DOI 10.1289/EHP7495
   Naughton MP, 2002, AM J PREV MED, V22, P221, DOI 10.1016/S0749-3797(02)00421-X
   Nawrot TS, 2007, J EPIDEMIOL COMMUN H, V61, P146, DOI 10.1136/jech.2005.044263
   Nayak SG, 2018, PUBLIC HEALTH, V161, P127, DOI 10.1016/j.puhe.2017.09.006
   Nelson R.K., 2020, MAPPING INEQUALITY R
   New York State Department of Environmental Conservation (NYS DEC), 2022, 2022 Statewide GHG Emissions Report: Summary Report, P36
   O'Neill MS, 2005, J URBAN HEALTH, V82, P191, DOI 10.1093/jurban/jti043
   O'Neill MS, 2003, AM J EPIDEMIOL, V157, P1074, DOI 10.1093/aje/kwg096
   Pearcy M., 2020, GEOGRAPHY TEACHER, V17, P44, DOI DOI 10.1080/19338341.2020.1759118
   Perry RJ, 2007, RACE AND RACISM: THE DEVELOPMENT OF MODERN RACISM IN AMERICA, P1, DOI 10.1057/9780230609198
   Petkova EP, 2014, EPIDEMIOLOGY, V25, P554, DOI 10.1097/EDE.0000000000000123
   Physical Housing Characteristics for Occupied Housing Units, 2019, US
   Prudent N, 2016, DISASTERS, V40, P740, DOI 10.1111/disa.12177
   Qian ZM, 2008, ENVIRON HEALTH PERSP, V116, P1172, DOI 10.1289/ehp.10847
   Reid CE, 2009, ENVIRON HEALTH PERSP, V117, P1730, DOI 10.1289/ehp.0900683
   Romanello M, 2021, LANCET, V398, P1619, DOI [10.1016/S0140-6736(21)01787-6, 10.1016/S0140-6736(23)01859-7]
   Schinasi LH, 2022, J URBAN HEALTH, V99, P134, DOI 10.1007/s11524-021-00602-6
   Schwartz J, 2005, EPIDEMIOLOGY, V16, P67, DOI 10.1097/01.ede.0000147114.25957.71
   Semenza JC, 1999, AM J PREV MED, V16, P269, DOI 10.1016/S0749-3797(99)00025-2
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Shen HF, 2015, IEEE GEOSC REM SEN M, V3, P61, DOI 10.1109/MGRS.2015.2441912
   Smoyer KE, 1998, SOC SCI MED, V47, P1809, DOI 10.1016/S0277-9536(98)00237-8
   Spangler KR, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab7abb
   Thornton M.M., 2020, Daymet: Daily surface weather data on a 1-km grid for North America, version 4 R1 [Data set], DOI DOI 10.3334/ORNLDAAC/2129
   U.S. Census Bureau, 2019, SEL EC CHAR
   U.S. Census Bureau, 2019, SEL SOC CHAR US
   Uejio CK, 2011, HEALTH PLACE, V17, P498, DOI 10.1016/j.healthplace.2010.12.005
   United States Diabetes Surveillance System, 2021, CTR DIS CONTR PREV
   Whitman S, 1997, AM J PUBLIC HEALTH, V87, P1515, DOI 10.2105/AJPH.87.9.1515
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   WOLD S, 1987, CHEMOMETR INTELL LAB, V2, P37, DOI 10.1016/0169-7439(87)80084-9
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Xu YH, 2013, J EPIDEMIOL COMMUN H, V67, P519, DOI 10.1136/jech-2012-201899
   Xu ZW, 2016, ENVIRON INT, V89-90, P193, DOI 10.1016/j.envint.2016.02.007
   Yin Q, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12663-y
   Zanobetti A, 2008, EPIDEMIOLOGY, V19, P563, DOI 10.1097/EDE.0b013e31816d652d
   Zanobetti A, 2013, EPIDEMIOLOGY, V24, P809, DOI 10.1097/01.ede.0000434432.06765.91
NR 93
TC 26
Z9 28
U1 1
U2 19
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2471-1403
J9 GEOHEALTH
JI GeoHealth
PD DEC
PY 2022
VL 6
IS 12
AR e2022GH000695
DI 10.1029/2022GH000695
PG 14
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA 8O5RL
UT WOS:000925892700001
PM 36518814
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bennett, NJ
   Alava, JJ
   Ferguson, CE
   Blythe, J
   Morgera, E
   Boyd, D
   Côté, IM
AF Bennett, Nathan J.
   Alava, Juan Jose
   Ferguson, Caroline E.
   Blythe, Jessica
   Morgera, Elisa
   Boyd, David
   Cote, Isabelle M.
TI Environmental (in)justice in the Anthropocene ocean
SO MARINE POLICY
LA English
DT Article
DE Environmental justice; Marine justice; Ocean governance; Marine
   pollution; Marine plastics; Climate change; Overfishing; Ecosystem
   services
ID MARINE PROTECTED AREAS; HARMFUL ALGAL BLOOMS; ECOSYSTEM SERVICE
   BENEFITS; SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE ADAPTATION; FOOD
   SECURITY; HUMAN HEALTH; ADAPTIVE CAPACITY; PUBLIC-HEALTH; COMMUNITY
   ACCESS
AB Environmental justice refers broadly to the distribution of environmental benefits and burdens, and the fair treatment and meaningful involvement of all people in environmental decision-making and legal frameworks. The field of environmental justice initially developed out of a concern for the disproportionate distribution and impacts of environmental pollution and hazardous waste disposal on groups that have been historically and structurally marginalized, including Black populations and socio-economically disadvantaged communities. More recent environmental justice scholarship has expanded geographically and focused on a broader set of environmental hazards and harms, such as climate change impacts, biodiversity and habitat loss, and ecosystem service declines. Yet, the impacts and distribution of environmental hazards and harms in the marine environ-ment on coastal populations has received less attention in the environmental justice literature. This narrative review paper starts to address this gap through a focus on five main areas of environmental injustice in the ocean: 1) pollution and toxic wastes, 2) plastics and marine debris, 3) climate change, 4) ecosystem, biodiversity and ecosystem service degradation, and 5) fisheries declines. For each, we characterize the issue and root drivers, then examine social and distributional impacts. In the discussion, we explore how these environmental injustices are converging and interacting, cumulative, differentiated, and geographically distributed, and briefly examine solutions and future research directions. In conclusion, we call for greater and more explicit attention to envi-ronmental justice in ocean research and policy.
C1 [Bennett, Nathan J.] Univ Santiago de Compostela, Cross disciplinary Res Ctr Environm Technol, EqualSea Lab, Santiago De Compostela, Spain.
   [Bennett, Nathan J.; Boyd, David] Univ British Columbia, Sch Publ Policy & Global Affairs, CK Choi Bldg,251-1855 West Mall, Vancouver, BC V6T 1Z2, Canada.
   [Bennett, Nathan J.] Peopled Seas Initiat, Vancouver, BC, Canada.
   [Bennett, Nathan J.] Commiss Environm Econ & Social Policy, People & Ocean Specialist Grp, Int Union Conservat Nat, Gland, Switzerland.
   [Alava, Juan Jose] Univ British Columbia, Inst Oceans & Fisheries, Ocean Pollut Res Unit, Vancouver, BC, Canada.
   [Alava, Juan Jose] Simon Fraser Univ, Sch Resource & Environm Management, Burnaby, BC, Canada.
   [Ferguson, Caroline E.] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA.
   [Blythe, Jessica] Brock Univ, Environm Sustainabil Res Ctr, St Catharines, ON, Canada.
   [Morgera, Elisa] Strathclyde Univ Law Sch, One Ocean Hub, Glasgow, Lanark, Scotland.
   [Boyd, David] Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC, Canada.
   [Cote, Isabelle M.] Simon Fraser Univ, Dept Biol Sci, Burnaby, BC, Canada.
C3 Universidade de Santiago de Compostela; University of British Columbia;
   University of British Columbia; Simon Fraser University; University of
   California System; University of California Santa Barbara; Brock
   University; University of British Columbia; Simon Fraser University
RP Bennett, NJ (corresponding author), Univ British Columbia, Sch Publ Policy & Global Affairs, CK Choi Bldg,251-1855 West Mall, Vancouver, BC V6T 1Z2, Canada.
EM nathan.bennett@ubc.ca
RI Alava, Juan/Q-3968-2019; Blythe, Jessica/AAV-7997-2021; Ferguson,
   Caroline/HTL-7324-2023; Cote, Isabelle/ABD-5898-2021; Bennett,
   Nathan/ABG-6787-2020; Bennett, Nathan/H-9845-2013
OI Bennett, Nathan/0000-0003-4852-3401; Morgera, Elisa/0000-0002-5234-8784
FU Natural Sciences and Engineering Research Councils Canadian Healthy
   Oceans Network; representing the Port of Sept-Iles and City of
   Sept-Iles; EQUALSEA; European Horizon 2020 [101002784]; European
   Research Council; Nippon Foundation -Ocean Litter Project and Ocean
   Pollution Research Unit at the Institute; Oceans and Fisheries (IOF),
   UBC; One Ocean Hub; UK Research and Innovation (UKRI); Global Challenges
   Research Fund (GCRF);  [NE/S008950/1]
FX Primary funding for this research project was provided to IMC and NJB by
   the Natural Sciences and Engineering Research Council's Canadian Healthy
   Oceans Network and its Partners: Department of Fish-eries and Oceans
   Canada and INREST (representing the Port of Sept-Iles and City of
   Sept-Iles). NJB was also supported by the EQUALSEA (Transformative
   adaptation toward ocean equity) project, under the European Horizon 2020
   Program, ERC Consolidator Grant Agreement # 101002784 funded by the
   European Research Council. JJA acknowledges funding from the Nippon
   Foundation-Ocean Litter Project and Ocean Pollution Research Unit at the
   Institute for the Oceans and Fisheries (IOF), UBC. CEF acknowledges the
   support of the Waitt Institute. EM was supported by the One Ocean Hub,
   which is a collaborative research for sustainable development project
   funded by UK Research and Innovation (UKRI) through the Global
   Challenges Research Fund (GCRF) (Grant Ref: NE/S008950/1). All authors
   acknowledge support from their respective institutions.
CR Adams C.J., 2022, MINISTER MINERAL RES
   Agyeman J, 2003, URBAN IND ENVIRON, P1
   Agyeman J, 2016, ANNU REV ENV RESOUR, V41, P321, DOI 10.1146/annurev-environ-110615-090052
   Ahlgren I, 2014, HEALTH HUM RIGHTS, V16, P69
   Ahmed S, 2021, ASIAN AFF, V52, P155, DOI 10.1080/03068374.2021.1880213
   Alava J.J., 2019, STEWARD SOUND, Vfirst, P87, DOI [10.1201/9780429025303-9, DOI 10.1201/9780429025303-9, DOI 10.1201/9780429025303]
   Alava JJ, 2022, MICROPLASTICS-BASEL, V1, P156, DOI 10.3390/microplastics1010010
   Alava JJ, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.566101
   Alava JJ, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-31824-5
   Alava JJ, 2017, GLOBAL CHANGE BIOL, V23, P3984, DOI 10.1111/gcb.13667
   Alava JJ, 2017, SCIENCE, V355, P140, DOI 10.1126/science.aam5609
   Allen F., 2011, IMPLEMENTATION OIL R
   AMAP, 2021, AMAP ASS 2020 POPS C
   Anderson DM, 2002, ESTUARIES, V25, P704, DOI 10.1007/BF02804901
   Andrews N, 2021, ENERGY RES SOC SCI, V75, DOI 10.1016/j.erss.2021.102009
   [Anonymous], 2007, AR4 CLIM CHANG 2007
   [Anonymous], 2019, Global Mercury Assessment 2018
   [Anonymous], 2011, GUID PRINC BUS HUM R
   [Anonymous], 1999, AGENCY TOXIC SUBSTAN
   [Anonymous], 2021, CONVENTION BIOLOGICA
   [Anonymous], 2016, Marine Plastic Debris and Microplastics - Global Lessons and Research to Inspire Action and Guide Policy Change
   Barboza LGA, 2018, MAR POLLUT BULL, V133, P336, DOI 10.1016/j.marpolbul.2018.05.047
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Arif S, 2019, J INT DEV, V31, P165, DOI 10.1002/jid.3399
   Artham T, 2009, INT BIODETER BIODEGR, V63, P884, DOI 10.1016/j.ibiod.2009.03.003
   Asch RG, 2018, MAR POLICY, V88, P285, DOI 10.1016/j.marpol.2017.08.015
   Azevedo-Santos VM, 2019, ENVIRON POLLUT, V255, DOI 10.1016/j.envpol.2019.112994
   Azmi K, 2021, OCEAN COAST MANAGE, V212, DOI 10.1016/j.ocecoaman.2021.105779
   Azmi K, 2016, MAR POLICY, V70, P164, DOI 10.1016/j.marpol.2016.05.007
   Baker-Médard M, 2017, SOC NATUR RESOUR, V30, P723, DOI 10.1080/08941920.2016.1257078
   Bakir A, 2016, ENVIRON POLLUT, V219, P56, DOI 10.1016/j.envpol.2016.09.046
   Barbier EB, 2017, CURR BIOL, V27, pR507, DOI 10.1016/j.cub.2017.03.020
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Barnett J, 2003, CLIMATIC CHANGE, V61, P321, DOI 10.1023/B:CLIM.0000004559.08755.88
   Bavinck M, 2017, MARIT STUD, V16, DOI 10.1186/s40152-017-0062-8
   Beaumont NJ, 2019, MAR POLLUT BULL, V142, P189, DOI 10.1016/j.marpolbul.2019.03.022
   Beiras R., 2018, Marine Pollution: Sources, Fate and Effects of Pollutants in Coastal Ecosystems
   Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002
   Bell JD, 2017, FISH FISH, V18, P489, DOI 10.1111/faf.12187
   Belton B, 2014, GLOB FOOD SECUR-AGR, V3, P59, DOI 10.1016/j.gfs.2013.10.001
   Benevolenza MA, 2019, J HUM BEHAV SOC ENVI, V29, P266, DOI 10.1080/10911359.2018.1527739
   Bennett NJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11143881
   Bennett NJ, 2018, MAR POLICY, V87, P186, DOI 10.1016/j.marpol.2017.10.023
   Bennett NJ, 2021, MAR POLICY, V125, DOI 10.1016/j.marpol.2020.104387
   Bennett NJ, 2016, REG ENVIRON CHANGE, V16, P907, DOI 10.1007/s10113-015-0839-5
   Bennett NJ, 2014, MAR POLICY, V44, P107, DOI 10.1016/j.marpol.2013.08.017
   Bennett NJ., 2022, NPJ Ocean Sustain, V1, P1, DOI [10.1038/s44183-022-00002-6, DOI 10.1038/S44183-022-00002-6]
   Bercht A.L., 2021, GEOGR HELV, V76, P305, DOI [10.5194/gh-76-305-2021, DOI 10.5194/GH-76-305-2021]
   Berdalet E, 2016, J MAR BIOL ASSOC UK, V96, P61, DOI 10.1017/S0025315415001733
   Bergmann M, 2015, MARINE ANTHROPOGENIC LITTER, P1, DOI 10.1007/978-3-319-16510-3
   Bergmann M, 2017, NATURE, V544, P297, DOI 10.1038/544297a
   Beyer J, 2016, MAR POLLUT BULL, V110, P28, DOI 10.1016/j.marpolbul.2016.06.027
   Bindoff N.L., 2019, CHANGING OCEAN MARIN, P142
   Blythe J, 2020, OCEAN COAST MANAGE, V185, DOI 10.1016/j.ocecoaman.2019.105028
   Blythe J, 2015, AMBIO, V44, P275, DOI 10.1007/s13280-014-0574-z
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Borrelle SB, 2020, SCIENCE, V369, P1515, DOI 10.1126/science.aba3656
   Botterell ZLR, 2019, ENVIRON POLLUT, V245, P98, DOI 10.1016/j.envpol.2018.10.065
   Bowen R.E., 2014, OCEANS HUMAN HLTH IM
   Boyd D., 2018, UN Doc A/73/188
   Boyd D., 2022, REPORT SPECIAL RAPPO
   Brain MJ, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101170
   Branch TA, 2013, TRENDS ECOL EVOL, V28, P178, DOI 10.1016/j.tree.2012.10.001
   Brauman KA, 2020, P NATL ACAD SCI USA, V117, P32799, DOI 10.1073/pnas.2010473117
   Brulle RJ, 2006, ANNU REV PUBL HEALTH, V27, P103, DOI 10.1146/annurev.publhealth.27.021405.102124
   Buesseler K, 2017, ANNU REV MAR SCI, V9, P173, DOI 10.1146/annurev-marine-010816-060733
   Bullard R.D., 1994, Unequal Protection: Environmental Justice and Communities of Color
   Bullard R.D., 1990, DUMPING DIXIE RACE C, DOI DOI 10.4324/9780429495274
   Bunce Matthew, 2010, Environment Development and Sustainability, V12, P407, DOI 10.1007/s10668-009-9203-6
   Bundy A, 2016, FISH FISH, V17, P1183, DOI 10.1111/faf.12110
   Cabral RB, 2018, MAR POLICY, V91, P136, DOI 10.1016/j.marpol.2018.02.007
   Campbell J., 2014, Climate change and migration issues in the
   Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149
   Capistrano RCG, 2012, OCEAN COAST MANAGE, V69, P200, DOI 10.1016/j.ocecoaman.2012.08.011
   Carson R., 2015, Silent Spring, P150
   Carver R, 2019, J POLIT ECOL, V26, P381, DOI 10.2458/v26i1.23025
   Castleden H, 2017, PROG COMM HLTH PARTN, V11, P25, DOI 10.1353/cpr.2017.0004
   Chamas A, 2020, ACS SUSTAIN CHEM ENG, V8, P3494, DOI 10.1021/acssuschemeng.9b06635
   Chang SE, 2014, ECOL SOC, V19, DOI 10.5751/ES-06406-190226
   Chaplin-Kramer R, 2019, SCIENCE, V366, P255, DOI 10.1126/science.aaw3372
   Charlton KE, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2953-9
   Chaudhary S, 2018, ECOSYST SERV, V29, P99, DOI 10.1016/j.ecoser.2017.10.020
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Choy CA, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-44117-2
   Chuenpagdee R, 2003, FRONT ECOL ENVIRON, V1, P517
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Cinner JE, 2015, NAT CLIM CHANGE, V5, P872, DOI 10.1038/NCLIMATE2690
   Cisneros-Montemayor AM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0166681
   Clark TP, 2022, FISH FISH, V23, P648, DOI 10.1111/faf.12639
   Clark TP, 2022, J PEASANT STUD, V49, P652, DOI 10.1080/03066150.2021.1890041
   Coe J M., 2012, Marine debris: sources, impacts, and solutions
   Cohen PJ, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00171
   Cohen PJ, 2016, AMBIO, V45, pS309, DOI 10.1007/s13280-016-0831-4
   Collins P. H., 2016, Intersectionality
   Colwell JMN, 2017, WORLD DEV, V98, P325, DOI 10.1016/j.worlddev.2017.04.033
   Coral Triangle Initiative, 2009, REG PLAN ACT COR TRI
   Cormier-Salem MC, 2016, AFR J AQUAT SCI, V41, P89, DOI 10.2989/16085914.2016.1146122
   Cormier-Salem MC, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9081485
   Costanza R, 1999, ECOL ECON, V31, P199, DOI 10.1016/S0921-8009(99)00079-8
   Costanza R, 2021, GLOBAL ENVIRON CHANG, V70, DOI 10.1016/j.gloenvcha.2021.102328
   Courtene-Jones W, 2019, ENVIRON POLLUT, V244, P503, DOI 10.1016/j.envpol.2018.10.090
   Cox KD, 2019, ENVIRON SCI TECHNOL, V53, P7068, DOI 10.1021/acs.est.9b01517
   Cózar A, 2014, P NATL ACAD SCI USA, V111, P10239, DOI 10.1073/pnas.1314705111
   Crenshaw K., 2022, On Intersectionality: Essential Writings
   Cullen-Unsworth LC, 2014, MAR POLLUT BULL, V83, P387, DOI 10.1016/j.marpolbul.2013.06.001
   Cutter S.L., 2012, Hazards vulnerability and environmental justice
   CUTTER SL, 1995, PROG HUM GEOG, V19, P111, DOI 10.1177/030913259501900111
   Daniels A., 2016, Western Africas missing fish. The impacts of illegal, unreported and unregulated fishing and under-reporting catches by foreign fleets
   Dankelman I., 2010, GEND CLIM CHANGE INT
   Dannenberg AL, 2019, CLIMATIC CHANGE, V153, P1, DOI 10.1007/s10584-019-02382-0
   Dasgupta S, 2022, WORLD DEV, V150, DOI 10.1016/j.worlddev.2021.105707
   Daw T, 2011, ENVIRON CONSERV, V38, P370, DOI 10.1017/S0376892911000506
   Defeo O, 2021, MAR POLLUT BULL, V163, DOI 10.1016/j.marpolbul.2020.111832
   Deloitte, 2019, The Price Tag of Plastic Pollution: an Economic Assessment of River Plastic
   Diepens NJ, 2018, ENVIRON SCI TECHNOL, V52, P8510, DOI 10.1021/acs.est.8b02515
   Donatuto JL, 2011, HEALTH RISK SOC, V13, P103, DOI 10.1080/13698575.2011.556186
   Doney SC, 2020, ANNU REV ENV RESOUR, V45, P83, DOI 10.1146/annurev-environ-012320-083019
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   du Pontavice H, 2020, GLOBAL CHANGE BIOL, V26, P1306, DOI 10.1111/gcb.14944
   Dunic JC, 2021, GLOBAL CHANGE BIOL, V27, P4096, DOI 10.1111/gcb.15684
   Duplisea DE, 2002, CAN J FISH AQUAT SCI, V59, P1785, DOI 10.1139/F02-148
   Eckert LE, 2018, ECOL SOC, V23, DOI 10.5751/ES-10417-230423
   EJF, 2015, PIR SLAV OV THAIL FU
   Elias P, 2015, CURR OPIN ENV SUST, V13, P74, DOI 10.1016/j.cosust.2015.02.008
   Elver H., 2021, Food Security, Fisheries and Ocean Acidification: A Human Rights Based Approach, DOI [10.4337/9781789900149.00015, DOI 10.4337/9781789900149.00015]
   Erickson TB, 2019, J TOXICOL ENV HEAL B, V22, P157, DOI 10.1080/10937404.2019.1654422
   Eriksen M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0111913
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Erinosho B., 2022, Transforming biodiversity governance, P313
   Ertör I, 2023, J PEASANT STUD, V50, P1157, DOI 10.1080/03066150.2021.1999932
   Erwin A, 2021, WORLD DEV, V138, DOI 10.1016/j.worlddev.2020.105282
   Euromap, 2016, PLAST RES PROD CONS
   Everaert G, 2018, ENVIRON POLLUT, V242, P1930, DOI 10.1016/j.envpol.2018.07.069
   Fabinyi M., 2022, J RURAL STUD
   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]
   FAO, 2015, VOL GUID SEC SUST SM
   FAO, 2018, STATE WORLD FISHERIE
   FAO Duke University WorldFish, ILL HIDD HARV CONTR
   Federal Court of Argentina, 2022, RUB OSC GOD ARG EXP
   Ferguson C.E., SHORE INTEGRATING PE
   Ferguson CE, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.625389
   Fernandes JA, 2017, FISH FISH, V18, P389, DOI 10.1111/faf.12183
   Flannery W, 2018, MAR POLICY, V88, P32, DOI 10.1016/j.marpol.2017.11.001
   Flores AB, 2021, ENVIRON JUSTICE, V14, P146, DOI 10.1089/env.2020.0039
   Flores AB, 2021, POPUL ENVIRON, V42, P279, DOI 10.1007/s11111-020-00362-6
   Food and Agriculture Organisation (FAO), 2016, The State of World Fisheries and AquacultureContributing to Food Security and Nutrition for All.
   Food and Agriculture Organization of the United Nations, 2021, About us
   Ford JD, 2019, NAT CLIM CHANGE, V9, P335, DOI 10.1038/s41558-019-0435-7
   Forst M., 2016, A71281 UN  UN SPEC A
   Fraser MW, 2017, ECOL INDIC, V78, P229, DOI 10.1016/j.ecolind.2017.03.026
   Frédéric L, 2013, MAR POLICY, V38, P257, DOI 10.1016/j.marpol.2012.06.001
   Fredrickson A, 2013, COAST MANAGE, V41, P258, DOI 10.1080/08920753.2013.784888
   Freduah G, 2017, APPL GEOGR, V89, P1, DOI 10.1016/j.apgeog.2017.09.009
   Frey RS, 2015, J WORLD SYST RES, V21, P25, DOI 10.5195/JWSR.2015.529
   Frid CLJ, 2017, MARINE POLLUTION, P1
   Friedman MA, 2008, MAR DRUGS, V6, P456, DOI 10.3390/md20080022
   Friess DA, 2016, FORESTS, V7, DOI 10.3390/f7090183
   Frölicher TL, 2018, NATURE, V560, P360, DOI 10.1038/s41586-018-0383-9
   Fulfer VM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.716349
   Galloway TS, 2017, NAT ECOL EVOL, V1, DOI 10.1038/s41559-017-0116
   Galloway TS, 2015, MARINE ANTHROPOGENIC LITTER, P343, DOI 10.1007/978-3-319-16510-3_13
   Gattuso JP, 2013, CLIMATIC CHANGE, V117, P725, DOI 10.1007/s10584-012-0591-5
   Germanov ES, 2018, TRENDS ECOL EVOL, V33, P227, DOI 10.1016/j.tree.2018.01.005
   Geyer R, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700782
   Ghisari M, 2014, ENVIRON HEALTH-GLOB, V13, DOI 10.1186/1476-069X-13-19
   Gianni Matthew., 2005, The Changing Nature of High Seas Fishing: How Flags of Convenience Provide Cover for Illegal, Unreported and Unregulated Fishing
   Gibb BC, 2019, NAT CHEM, V11, P394, DOI 10.1038/s41557-019-0260-7
   Gill DA, 2012, AM BEHAV SCI, V56, P3, DOI 10.1177/0002764211408585
   Gilman E, 2015, MAR POLICY, V60, P225, DOI 10.1016/j.marpol.2015.06.016
   Gilman EL, 2008, AQUAT BOT, V89, P237, DOI 10.1016/j.aquabot.2007.12.009
   Gobler CJ, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.101731
   Golden C, 2016, NATURE, V534, P317, DOI 10.1038/534317a
   Gotham KF, 2018, RISK ANAL, V38, P345, DOI 10.1111/risa.12830
   Grange ZL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2002324118
   Grantham R, 2022, ECOSYST PEOPLE, V18, P15, DOI 10.1080/26395916.2021.2003866
   Greenhalgh T, 2018, EUR J CLIN INVEST, V48, DOI 10.1111/eci.12931
   Guillotreau P, 2012, CURR OPIN ENV SUST, V4, P287, DOI 10.1016/j.cosust.2012.06.003
   Hackney CR, 2020, NAT SUSTAIN, V3, P217, DOI 10.1038/s41893-019-0455-3
   Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
   Halpern BS, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47201-9
   Hamilton BM, 2021, MAR ECOL PROG SER, V675, P23, DOI 10.3354/meps13846
   HanudelIsidro Mark R., 2021, FIBROBLAST GROWTH FA, V23, P157, DOI [10.1016/B978-0-12-818036-5.00006-9, 10.25518/1780-4507.17750]
   Haram LE, 2020, MAR POLLUT BULL, V150, DOI 10.1016/j.marpolbul.2019.110714
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Harper S, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0228912
   Hatcher MJ, 2012, FUNCT ECOL, V26, P1275, DOI 10.1111/j.1365-2435.2012.02031.x
   Hauer ME, 2017, NAT CLIM CHANGE, V7, P321, DOI [10.1038/nclimate3271, 10.1038/NCLIMATE3271]
   Heberger M, 2011, CLIMATIC CHANGE, V109, P229, DOI 10.1007/s10584-011-0308-1
   Hernández-Delgado EA, 2015, MAR POLLUT BULL, V101, P5, DOI 10.1016/j.marpolbul.2015.09.018
   Hicks CC, 2019, NATURE, V574, P95, DOI 10.1038/s41586-019-1592-6
   Hicks CC, 2014, P NATL ACAD SCI USA, V111, P17791, DOI 10.1073/pnas.1413473111
   High Court of South Africa, 2021, SUST WILD COAST NPC
   Hoagland P, 2006, ECOL STU AN, V189, P391, DOI 10.1007/978-3-540-32210-8_30
   Holbrook NJ, 2022, GLOBAL PLANET CHANGE, V208, DOI 10.1016/j.gloplacha.2021.103680
   Howard J, 2017, FRONT ECOL ENVIRON, V15, P42, DOI 10.1002/fee.1451
   Hughes S, 2012, ENVIRON SCI POLICY, V23, P95, DOI 10.1016/j.envsci.2012.07.012
   Islam MM, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8100815
   Islam N., 2017, UN Department of Economic and Social Affairs (DESA) Working Papers, P1, DOI DOI 10.18356/2C62335D-EN
   Jambeck JR, 2015, SCIENCE, V347, P768, DOI 10.1126/science.1260352
   Jamieson AJ, 2019, ROY SOC OPEN SCI, V6, DOI 10.1098/rsos.180667
   Jayanthi M, 2018, GLOBAL ENVIRON CHANG, V52, P10, DOI 10.1016/j.gloenvcha.2018.05.005
   Jentoft S., 2022, Blue justice: Smallscale fisheries in a sustainable ocean economy, MARE publication series 26
   Jentoft S., 2017, The Small-Scale Fisheries Guidelines, DOI DOI 10.1007/978-3-319-55074-9_15
   Ji Y, 2021, ADV MAR BIOL, V88, P91, DOI 10.1016/bs.amb.2020.11.001
   Jin D, 2008, OCEAN COAST MANAGE, V51, P420, DOI 10.1016/j.ocecoaman.2008.01.004
   Jones PJS, 2009, MAR POLICY, V33, P759, DOI 10.1016/j.marpol.2009.02.009
   Alava JJ, 2019, PREDICTING FUTURE OCEANS: SUSTAINABILITY OF OCEAN AND HUMAN SYSTEMS AMIDST GLOBAL ENVIRONMENTAL CHANGE, P495, DOI 10.1016/B978-0-12-817945-1.00046-0
   Alava JJ, 2013, SCIENCE, V342, P931, DOI 10.1126/science.342.6161.931-a
   Jouffray JB, 2020, ONE EARTH, V2, P43, DOI 10.1016/j.oneear.2019.12.016
   Jovanovic B, 2017, INTEGR ENVIRON ASSES, V13, P510, DOI 10.1002/ieam.1913
   Kaczynski VM, 2002, MAR POLICY, V26, P75, DOI 10.1016/S0308-597X(01)00039-2
   Kane IA, 2020, SCIENCE, V368, P1140, DOI 10.1126/science.aba5899
   Karasiewicz S, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10020174
   Kerr S, 2015, MAR POLICY, V52, P108, DOI 10.1016/j.marpol.2014.11.002
   [Kershaw P.J. GESAMP GESAMP], 2015, Sources, fate and effects of microplastics in the marine environment: Part one of a global assessment, DOI DOI 10.13140/RG.2.1.3803.7925
   Kirezci E, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-67736-6
   Kirstein IV, 2016, MAR ENVIRON RES, V120, P1, DOI 10.1016/j.marenvres.2016.07.004
   Kleiber D, 2015, FISH FISH, V16, P547, DOI 10.1111/faf.12075
   Klein SG, 2022, GLOBAL CHANGE BIOL, V28, P1753, DOI 10.1111/gcb.15818
   Knox J.H., 2018, AHRC3758 UN
   Knox J. H., 2017, ENV HUMAN RIGHTS DEF
   Knutson T.R., 2021, CRITICAL ISSUES CLIM, DOI [10.5281/zenodo.4570334, DOI 10.5281/ZENODO.4570334]
   Knutson T, 2020, B AM METEOROL SOC, V101, pE303, DOI 10.1175/BAMS-D-18-0194.1
   Kooi M, 2017, ENVIRON SCI TECHNOL, V51, P7963, DOI 10.1021/acs.est.6b04702
   Kumar P, 2018, INDIAN J PEDIATR, V85, P384, DOI 10.1007/s12098-017-2595-7
   Kumar R, 2022, CHEMOSPHERE, V298, DOI 10.1016/j.chemosphere.2022.134267
   Kusakabe K., 2014, Asian Fisheries Science, V27, P43
   Lam VWY, 2020, NAT REV EARTH ENV, V1, P440, DOI 10.1038/s43017-020-0071-9
   Lam VWY, 2016, FISH FISH, V17, P335, DOI 10.1111/faf.12106
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Lamb WF, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abee4e
   Landrigan PJ, 2020, ANN GLOB HEALTH, V86, DOI 10.5334/aogh.2831
   Landrigan PJ, 2018, LANCET, V391, P462, DOI 10.1016/S0140-6736(17)32345-0
   Lau JD, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104730
   Lau JD, 2016, GEOFORUM, V69, P136, DOI 10.1016/j.geoforum.2016.01.002
   Lauria V, 2018, SCI TOTAL ENVIRON, V640, P1566, DOI 10.1016/j.scitotenv.2018.06.011
   Law KL, 2010, SCIENCE, V329, P1185, DOI 10.1126/science.1192321
   Lear L, 1997, ENVIRON HIST, V2, P221, DOI 10.2307/3985511
   Lebreton L, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22939-w
   Lebreton LCM, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15611
   Lerner Steve., 2010, Sacrifice Zones: The Front Lines of Toxic Chemical Exposure in the United States
   Leslie AW, 2012, ENVIRON ENTOMOL, V41, P802, DOI 10.1603/EN12049
   Leslie HA, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107199
   Levy BS, 2015, ANN GLOB HEALTH, V81, P310, DOI 10.1016/j.aogh.2015.08.008
   Liboiron M, 2021, POLLUTION IS COLONIALISM, P1
   Liwenga E.T., 2019, CLIM CHANGE COAST RE, P155, DOI [10.1007/978-3-030-04897-6_8, DOI 10.1007/978-3-030-04897-6_8]
   Lloret J, 2016, J MAR BIOL ASSOC UK, V96, P29, DOI 10.1017/S0025315415001988
   Lloret J, 2010, MAR POLLUT BULL, V60, P1640, DOI 10.1016/j.marpolbul.2010.07.034
   López-Martínez S, 2021, GLOBAL CHANGE BIOL, V27, P728, DOI 10.1111/gcb.15416
   Loseto LL, 2018, ESTUAR COAST SHELF S, V212, P128, DOI 10.1016/j.ecss.2018.05.026
   Macfadyen G., 2009, FAO Fisheries and Aquaculture Technical Paper
   Magalhaes KM, 2021, SCI TOTAL ENVIRON, V764, DOI 10.1016/j.scitotenv.2020.142872
   Maldonado JK., 2018, Seeking Justice in an Energy Sacrifice Zone: Standing on Vanishing Land in Coastal Louisiana
   Mallette A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158594
   Mangubhai S, 2021, ENVIRON SCI POLICY, V120, P195, DOI 10.1016/j.envsci.2021.03.003
   Mansfield B, 2004, GEOFORUM, V35, P313, DOI 10.1016/j.geoforum.2003.05.002
   Marn N, 2020, ECOL LETT, V23, P1479, DOI 10.1111/ele.13574
   Martin A, 2020, ENVIRONMENT, V62, P19, DOI 10.1080/00139157.2020.1820294
   Martin A, 2014, GEOFORUM, V54, P167, DOI 10.1016/j.geoforum.2013.02.006
   Martin JA, 2019, J ENVIRON STUD SCI, V9, P234, DOI 10.1007/s13412-019-00545-0
   Marushka L, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211473
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Masterson VA, 2018, ECOL SOC, V23, DOI 10.5751/ES-10259-230313
   McCauley DJ, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aau2161
   McIlgorm A., 2020, Update of 2009 APEC Report on Economic Costs of Marine Debris to APEC Economies
   Meijer LJJ, 2021, SCI ADV, V7, DOI 10.1126/sciadv.aaz5803
   Miller D., 2001, PRINCIPLES SOCIAL JU
   Minovi D, 2021, ENVIRON JUSTICE, V14, P105, DOI 10.1089/env.2020.0051
   Misana SB, 2019, Climate change and coastal resources in Tanzania: studies on socio-ecological systems' vulnerability, resilience and governance, V31, P117
   Moreto WD, 2020, DEVIANT BEHAV, V41, P733, DOI 10.1080/01639625.2019.1594587
   Morgera E., 2015, ITAL YEARB INT LAW, V24, P113, DOI [10.1163/22116133-90000076, DOI 10.1163/22116133-90000076]
   Morley JW, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0196127
   Mountford AS, 2019, J GEOPHYS RES-OCEANS, V124, P8558, DOI 10.1029/2019JC015050
   Mudadu AG, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9050510
   Mustofa A., 2022, IOP Conference Series : Earth and Environmental Science, V967, DOI 10.1088/1755-1315/967/1/012013
   Mutz KathrynM., 2002, JUSTICE NATURAL RESO
   Naggea J., 2021, SPC Women Fish Inf Bull, V33, P50
   Nakamura N, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01613-w
   Narita D, 2012, CLIMATIC CHANGE, V113, P1049, DOI 10.1007/s10584-011-0383-3
   Nash KL, 2017, NAT ECOL EVOL, V1, P1625, DOI 10.1038/s41559-017-0319-z
   Naylor RL, 2021, NATURE, V591, P551, DOI 10.1038/s41586-021-03308-6
   Nelms SE, 2018, ENVIRON POLLUT, V238, P999, DOI 10.1016/j.envpol.2018.02.016
   Nelson EJ, 2013, FRONT ECOL ENVIRON, V11, P483, DOI 10.1890/120312
   Nelson G.C., 2005, Ecosystems and human well-being: scenarios: findings of the scenarios working group, P173
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Newman S, 2015, MARINE ANTHROPOGENIC LITTER, P367, DOI 10.1007/978-3-319-16510-3_14
   Nolan C, 2019, MAR POLICY, V108, DOI 10.1016/j.marpol.2019.103621
   Nordlund LM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163091
   O'Rourke D, 2003, ANNU REV ENV RESOUR, V28, P587, DOI 10.1146/annurev.energy.28.050302.105617
   Oberbeckmann S, 2015, ENVIRON CHEM, V12, P551, DOI 10.1071/EN15069
   Okafor-Yarwood I, 2022, MAR POLICY, V135, DOI 10.1016/j.marpol.2021.104847
   Okafor-Yarwood I, 2020, AFR STUD-UK, V79, P285, DOI 10.1080/00020184.2020.1827947
   Oliver ECJ, 2021, ANNU REV MAR SCI, V13, P313, DOI 10.1146/annurev-marine-032720-095144
   Ommer Rosemary., 2007, COASTS STRESS RESTRU, DOI [10.1515/9780773576018, DOI 10.1515/9780773576018]
   Oneill S.M., 2021, Case Stud. Chem. Environ. Eng., V3, DOI [10.1016/j.cscee.2021.100091, DOI 10.1016/J.CSCEE.2021.100091]
   Orellana M., 2021, REPORT SPECIAL RAPPO
   Osterblom H., 2020, OCEAN EQUITY
   Owens KA, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.713385
   Palinkas Lawrence A, 2004, Prehosp Disaster Med, V19, P102
   Parker RWR, 2018, NAT CLIM CHANGE, V8, P333, DOI 10.1038/s41558-018-0117-x
   Parsons M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084217
   Pauly D, 2005, B MAR SCI, V76, P197
   Pauly D, 1998, SCIENCE, V279, P860, DOI 10.1126/science.279.5352.860
   Pauly D., 2020, Sea Around Us Concepts, Design and Data
   Pedra A.S., 2020, REV INT DIREITO AMBI, V21, P11
   Perry RI, 2010, CURR OPIN ENV SUST, V2, P356, DOI 10.1016/j.cosust.2010.10.004
   Persson L, 2022, ENVIRON SCI TECHNOL, V56, P1510, DOI 10.1021/acs.est.1c04158
   Peterson CH, 2003, SCIENCE, V302, P2082, DOI 10.1126/science.1084282
   Petrossian GA, 2020, MAR POLICY, V116, DOI 10.1016/j.marpol.2020.103937
   Picou J.S., 2009, Synthesis: Three Decades of Research on Socioeconmic Effects Related to Offshore Petroleum Development in Coastal Alaska, P279
   Pinsky ML, 2020, ANNU REV MAR SCI, V12, P153, DOI 10.1146/annurev-marine-010419-010916
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Porio E, 2014, ASIAN J SOC SCI, V42, P75, DOI 10.1163/15685314-04201006
   Probyn E, 2018, SOC SCI INFORM, V57, P386, DOI 10.1177/0539018418792402
   Purvis A., 2019, GLOB ASSESS REP INTE, DOI [10.5281/zenodo.3832006, DOI 10.5281/ZENODO.3832006]
   Quist LM, 2019, MARIT STUD, V18, P65, DOI 10.1007/s40152-018-0123-7
   Ragusa A, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106274
   Rahimi R, 2020, WATER-SUI, V12, DOI 10.3390/w12102776
   Randolph N, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.652691
   Rech S, 2014, MAR POLLUT BULL, V82, P66, DOI 10.1016/j.marpolbul.2014.03.019
   Revel M, 2018, CURR OPIN ENV SCI HL, V1, P17, DOI 10.1016/j.coesh.2017.10.003
   Ritchie H., 2018, Plastic pollution
   Ritzman J, 2018, HARMFUL ALGAE, V80, P35, DOI 10.1016/j.hal.2018.09.002
   Rohe J, 2018, MARIT STUD, V17, P155, DOI 10.1007/s40152-018-0106-8
   Romañach SS, 2018, OCEAN COAST MANAGE, V154, P72, DOI 10.1016/j.ocecoaman.2018.01.009
   Rosyida I, 2018, EXTRACT IND SOC, V5, P165, DOI 10.1016/j.exis.2017.11.002
   Rozas LW, 2010, J EVID-INFORM SOC WO, V7, P387, DOI 10.1080/15433710903344116
   Ryan BJ, 2016, DISASTER MED PUBLIC, V10, P598, DOI 10.1017/dmp.2016.3
   Said A, 2017, APPL GEOGR, V87, P245, DOI 10.1016/j.apgeog.2017.08.013
   Saito N, 2014, URBAN CLIM, V9, P89, DOI 10.1016/j.uclim.2014.07.006
   Sandifer P.A., 2021, Preparing a Workforce for the New Blue Economy, P213, DOI [10.1016/b978-0-12-821431-2.00057-3, 10.1016/B978-0-12-821431-2.00057-3]
   Santillo D, 2017, INTEGR ENVIRON ASSES, V13, P516, DOI 10.1002/ieam.1909
   Schartup AT, 2019, NATURE, V572, P648, DOI 10.1038/s41586-019-1468-9
   Schlosberg David., 2009, DEFINING ENV JUSTICE
   Schreiber MA, 2022, MAR POLICY, V137, DOI 10.1016/j.marpol.2022.104959
   Schwerdtle P, 2018, BMC MED, V16, DOI 10.1186/s12916-017-0981-7
   Selig ER, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28916-2
   Selig ER, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12617
   Senapati S, 2017, MAR POLICY, V76, P90, DOI 10.1016/j.marpol.2016.11.023
   Sengupta D, 2020, SCI TOTAL ENVIRON, V732, DOI 10.1016/j.scitotenv.2020.139290
   Sheth MU, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00624
   Short RE, 2021, NAT FOOD, V2, P733, DOI 10.1038/s43016-021-00363-0
   Shtob DA, 2021, ENVIRON JUSTICE, V14, P198, DOI 10.1089/env.2020.0038
   Shukla P.R., 2019, Special Report on climate change and land
   Sikor T., 2013, The Justices and Injustices of Ecosystem Services
   Simon N, 2021, SCIENCE, V373, P43, DOI 10.1126/science.abi9010
   Sinan H, 2022, FISH FISH, V23, P202, DOI 10.1111/faf.12610
   Singh GG, 2019, PEOPLE NAT, V1, P317, DOI 10.1002/pan3.26
   Sippo JZ, 2018, ESTUAR COAST SHELF S, V215, P241, DOI 10.1016/j.ecss.2018.10.011
   Smale DA, 2019, NAT CLIM CHANGE, V9, P306, DOI 10.1038/s41558-019-0412-1
   Smith ADM, 2011, SCIENCE, V333, P1147, DOI 10.1126/science.1209395
   Smith KE, 2021, SCIENCE, V374, P419, DOI 10.1126/science.abj3593
   Smith M, 2018, CURR ENV HLTH REP, V5, P375, DOI 10.1007/s40572-018-0206-z
   Sovacool BK, 2018, WORLD DEV, V102, P183, DOI 10.1016/j.worlddev.2017.10.014
   Sowman M, 2018, OCEAN COAST MANAGE, V157, P168, DOI 10.1016/j.ocecoaman.2018.02.013
   Spalding MD, 2014, OCEAN COAST MANAGE, V90, P50, DOI 10.1016/j.ocecoaman.2013.09.007
   Sparks JLD, 2019, J HUM RIGHTS, V18, P230, DOI 10.1080/14754835.2019.1602824
   Steadman D., 2021, NEW PERSPECTIVES OLD
   Sultana F, 2022, POLIT GEOGR, V99, DOI 10.1016/j.polgeo.2022.102638
   Sumaila UR, 2021, SCIENCE, V374, P544, DOI 10.1126/science.abm1680
   Sumaila UR, 2019, MAR POLICY, V109, DOI 10.1016/j.marpol.2019.103695
   Sumaila UR, 2016, MAR POLICY, V69, P189, DOI 10.1016/j.marpol.2015.12.026
   Sumaila UR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040542
   Sze J, 2008, SOCIOL COMPASS, V2, P1331, DOI 10.1111/j.1751-9020.2008.00131.x
   Temper L, 2015, J POLIT ECOL, V22, P255, DOI 10.2458/v22i1.21108
   The Pew Charitable Trusts and SYSTEMIQ, 2020, BREAK PLAST WAV COMP
   Thevenon F., 2015, PLASTIC DEBRIS OCEAN, DOI [10.2305/IUCN.CH.2014.03.en, DOI 10.2305/IUCN.CH.2014.03.EN]
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Thushari GGN, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04709
   Tigchelaar M, 2021, NAT FOOD, V2, P673, DOI 10.1038/s43016-021-00368-9
   Tilley A., 2021, Program Brief: FISH-2021-24
   Torraco R.J., 2005, Human Resource Development Review, V4, P356, DOI [10.1177/1534484305278283, DOI 10.1177/1534484305278283]
   Townhill BL, 2018, ICES J MAR SCI, V75, P1882, DOI 10.1093/icesjms/fsy113
   Trainer VL, 2020, HARMFUL ALGAE, V91, DOI 10.1016/j.hal.2019.03.009
   Tsosie Rebecca., 2007, U COLORADO LAW REV, V78, P1625, DOI DOI 10.3868/S050-004-015-0003-8
   Tuholske C, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0258898
   UNECE, 1998, AARH CONV ACC INF PU
   UNEP, 2021, DROWN PLAST MAR LITT
   UNEP, 2020, STOCKH CONV STOCKH C
   UNEP, 2021, Neglected: environmental justice impacts of marine litter and plastic pollution
   United Nations, 2022, ARES76300 UN UN GEN
   United Nations, 2018, REG AGR ACC INF PUBL
   United Nations, 2015, TRANSF OUR WORLD 203
   United Nations Environment Assembly, 2022, DRAFT RES END PLAST
   United Nations Environment Programme (UNEP), 2022, HIST DAY CAMP BEAT P
   Valenzuela-Fuentes K, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063481
   van Sebille E, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6d7d
   Virsek MK, 2017, MAR POLLUT BULL, V125, P301, DOI 10.1016/j.marpolbul.2017.08.024
   Vitousek S, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01362-7
   Walker G, 2012, Environmental Justice: concepts, evidence and politics
   Walkinshaw C, 2020, ECOTOX ENVIRON SAFE, V190, DOI 10.1016/j.ecoenv.2019.110066
   Wan Z, 2021, MAR POLICY, V130, DOI 10.1016/j.marpol.2021.104542
   Watkins K., 2014, GRAIN FISH MONEY FIN
   Weber L, 2012, SOC SCI MED, V74, P1833, DOI 10.1016/j.socscimed.2011.08.034
   Wieland R, 2016, ECOL ECON, V121, P175, DOI 10.1016/j.ecolecon.2015.11.007
   Wielsoe M, 2017, ENVIRON HEALTH-GLOB, V16, DOI 10.1186/s12940-017-0269-6
   Wilson D, 2021, MARIT STUD, V20, P387, DOI 10.1007/s40152-021-00233-2
   Woodhead AJ, 2019, FUNCT ECOL, V33, P1023, DOI 10.1111/1365-2435.13331
   World Health Organization - WHO, 2017, INH SUST WORLD ATL C
   WWF, 2020, STOP GHOST GEAR MOST
   Yingst A, 2018, MARIT STUD, V17, P125, DOI 10.1007/s40152-018-0099-3
   Yoshida N, 2012, SCIENCE, V336, P1115, DOI 10.1126/science.1219493
   Zeldovich L., 2019, JSTOR DLY
   Zeller D, 2019, GLOB SUSTAIN, V2, DOI 10.1017/sus.2019.8
   Zettler ER, 2013, ENVIRON SCI TECHNOL, V47, P7137, DOI 10.1021/es401288x
   Zhang WB, 2020, FISH FISH, V21, P47, DOI 10.1111/faf.12414
NR 406
TC 39
Z9 43
U1 21
U2 60
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD JAN
PY 2023
VL 147
AR 105383
DI 10.1016/j.marpol.2022.105383
EA NOV 2022
PG 19
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA 8Q0IP
UT WOS:000926899500006
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Bahrami, G
   Sajadi, H
   Rafiee, H
   Norouzi, M
   Shakiba, A
AF Bahrami, Giti
   Sajadi, Homeira
   Rafiee, Hassan
   Norouzi, Mehdi
   Shakiba, Alireza
TI Prediction of the Impacts of Climate Change on the Geographical
   Distribution of Dysentery in Iran
SO CHINESE JOURNAL OF URBAN AND ENVIRONMENTAL STUDIES
LA English
DT Article
DE Climate change; health; Geographically Weighted Regression; dysentery;
   gastrointestinal disease
ID BACILLARY DYSENTERY; TIME-SERIES; TEMPERATURE; EPIDEMIOLOGY;
   ASSOCIATION; VARIABLES; DISEASE
AB Dysentery is a water- and food-borne infectious disease and its incidence is sensitive to climate change. Although the impact of climate change on dysentery is being studied in specific areas, a study in Iran is lacking. In this study, RCP 4.5 and RCP 8.5 scenarios were used to predict the prevalence of dysentery in Iran between 2050 and 2070. This study is a secondary analysis using Geographically Weighted Regression, and 273 cities of Iran were analyzed between March 2011 and March 2017. Bioclimate variables were used as independent variables. Ecological data about the prevalence and incidence of dysentery, which were collected between 2011 and 2017, were used as the dependent variables. The result shows the incidence of dysentery is significantly associated with bioclimate change exposure, in 2050 and 2070, based on RCP 4.5 and RCP 8.5. Our findings showed that in the absence of adaptation of the population, an increase in the risk of bioclimate-related diseases is expected by around 95.6% in the mid-century compared with the beginning of the century with regional variations. Based on these findings, the geographical distribution of the disease will also change. In 2050, the pattern of disease distribution would be changed, and the north of Iran will be included in the vulnerable regions. In 2070, the southeastern and northern parts of Iran will have the most vulnerability to climate change. Our study contributes important knowledge to this perspective by providing insightful findings and pieces of evidence for climate change adaptation and mitigation.
C1 [Bahrami, Giti] Alborz Univ Med Sci, Social Determinants Hlth Res Ctr, Karaj 3149779453, Iran.
   [Sajadi, Homeira] Univ Social Welf & Rehabil Sci, Dept Social Welf Management, Tehran 1985713834, Iran.
   [Rafiee, Hassan] Univ Social Welf & Rehabil Sci, Social Welf Management Res Ctr, Tehran 1985713834, Iran.
   [Norouzi, Mehdi] Univ Social Welf & Rehabil Sci, Social Determinants Hlth Res Ctr, Tehran 1985713834, Iran.
   [Shakiba, Alireza] Shahid Beheshti Univ, Fac Earth Sci, Ctr Remote Sensing & GIS Res, Tehran 1983969411, Iran.
C3 Shahid Beheshti University
RP Shakiba, A (corresponding author), Shahid Beheshti Univ, Fac Earth Sci, Ctr Remote Sensing & GIS Res, Tehran 1983969411, Iran.
EM bahramigiti@gmail.com; ho.sajjadi@uswr.ac.ir; hassan441015@gmail.com;
   noroozimehdia04@gmail.com; mypauk28@gmail.com
RI Shakiba, Alireza/AAA-8781-2022
OI Shakiba, Alireza/0000-0003-1977-3372
CR Afshin A, 2019, LANCET, V393, P1958, DOI 10.1016/S0140-6736(19)30041-8
   Ahangarcani M., 2016, J. Geomat. Sci. Technol, V6, P79
   Ahmadnezhad E, 2016, Biostat Epidemiol, V2, P98
   Ahmadnezhad Elham, 2015, J BIOSTAT EPIDEMIOL, V1, P80
   Ai SQ, 2022, SCI TOTAL ENVIRON, V832, DOI 10.1016/j.scitotenv.2022.155028
   Bahrami G, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100697
   Chadsuthi S, 2012, ASIAN PAC J TROP MED, V5, P539, DOI 10.1016/S1995-7645(12)60095-9
   Chakraborty Subhankar, 2014, CROP IMPROVEMENT ERA, P3
   Chang QX, 2022, ENVIRON HEALTH PREV, V27, DOI 10.1265/ehpm.21-00005
   CHEN MJ, 2012, PLOS ONE, V0007
   Cheng J, 2017, EPIDEMIOL INFECT, V145, P1567, DOI 10.1017/S0950268817000280
   Cissé G, 2019, ACTA TROP, V194, P181, DOI 10.1016/j.actatropica.2019.03.012
   Emch M, 2008, INT J HEALTH GEOGR, V7, DOI 10.1186/1476-072X-7-31
   Franchini M, 2015, EUR J INTERN MED, V26, P1, DOI 10.1016/j.ejim.2014.12.008
   Ghaemi Ezzat Ollah, 2007, Saudi J Gastroenterol, V13, P129
   Ghorashi Z, 2011, PEDIATR INFECT DIS J, V30, P616, DOI 10.1097/INF.0b013e31820a45cb
   Guan P, 2008, JPN J INFECT DIS, V61, P356
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hosseinkhah M. R., 2016, J ENV STUDIES, V42, P353
   Hunter PR, 2003, J APPL MICROBIOL, V94, p37S, DOI 10.1046/j.1365-2672.94.s1.5.x
   Joneidi N., 2006, J MILITARY MED, V7, P337
   Juroszek P, 2013, EUR J PLANT PATHOL, V136, P21, DOI 10.1007/s10658-012-0144-9
   Karambizi NU, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0259077
   Khalili B, 2004, J MED VIROL, V73, P309, DOI 10.1002/jmv.20092
   Kolahi AA, 2010, INT J INFECT DIS, V14, pE618, DOI 10.1016/j.ijid.2009.10.001
   Levy K, 2009, INT J EPIDEMIOL, V38, P1487, DOI 10.1093/ije/dyn260
   Li ZJ, 2013, SCI REP-UK, V3, DOI 10.1038/srep03239
   Liu JN, 2017, SCI TOTAL ENVIRON, V575, P956, DOI 10.1016/j.scitotenv.2016.09.153
   Liu L, 2014, PLOS ONE, V9, DOI [10.1371/journal.pone.0085920, 10.1371/journal.pone.0088791]
   Mamishi S, 2010, BRAZ J INFECT DIS, V14, P351, DOI 10.1590/S1413-86702010000400007
   Mansouri A., 2018, Journal of Water and Soil Science, V22, pPe345, DOI 10.29252/jstnar.22.2.345
   MIRZAEI N, 2016, BR J MED MED RES, P1
   Mora C, 2022, NAT CLIM CHANGE, V12, P869, DOI 10.1038/s41558-022-01426-1
   Nasab Seyed Dawood Mousavi, 2016, Iranian Biomedical Journal, V20, P280, DOI 10.22045/ibj.2016.05
   Penner J.L., 1988, INTJ SYST BACTERIOL, V38, P223
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Verweij JJ, 2004, J CLIN MICROBIOL, V42, P1220, DOI 10.1128/JCM.42.3.1220-1223.2004
   Woodward Alistair, 2022, HYDROMETEOROLOGICAL, P26
   World Health Organization, 2021, GLOB INST
   Wu XX, 2020, SCI TOTAL ENVIRON, V714, DOI 10.1016/j.scitotenv.2020.136702
   Yi LP, 2019, ENVIRON RES, V173, P255, DOI 10.1016/j.envres.2019.03.043
   Yu DL, 2006, ANN REGIONAL SCI, V40, P173, DOI 10.1007/s00168-005-0038-2
   Zhao R, 2021, SCI TOTAL ENVIRON, V797, DOI 10.1016/j.scitotenv.2021.148840
NR 43
TC 1
Z9 1
U1 0
U2 6
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 2345-7481
EI 2345-752X
J9 CHIN J URBAN ENV STU
JI Chin. J. Urban Env. Stud.
PD SEP
PY 2022
VL 10
IS 03
DI 10.1142/S234574812250018X
EA NOV 2022
PG 18
WC Urban Studies
WE Emerging Sources Citation Index (ESCI)
SC Urban Studies
GA 9A9BH
UT WOS:000886739600001
OA gold
DA 2025-01-10
ER

PT J
AU Nishant, N
   Di Virgilio, G
   Ji, F
   Tam, E
   Beyer, K
   Riley, ML
AF Nishant, Nidhi
   Di Virgilio, Giovanni
   Ji, Fei
   Tam, Eugene
   Beyer, Kathleen
   Riley, Matthew L.
TI Evaluation of Present-Day CMIP6 Model Simulations of Extreme
   Precipitation and Temperature over the Australian Continent
SO ATMOSPHERE
LA English
DT Article
DE climate change adaptation; climate extremes; CMIP6; ET-SCI indices;
   extreme weather; regional climate modelling
ID GLOBAL CLIMATE MODELS; INDEXES; DESIGN; TRENDS; CHINA; PROJECTIONS;
   COUPLER; HEALTH
AB Australia experiences a variety of climate extremes that result in loss of life and economic and environmental damage. This paper provides a first evaluation of the performance of state-of-the-art Coupled Model Intercomparison Project Phase 6 (CMIP6) global climate models (GCMs) in simulating climate extremes over Australia. Here, we evaluate how well 37 individual CMIP6 GCMs simulate the spatiotemporal patterns of 12 climate extremes over Australia by comparing the GCMs against gridded observations (Australian Gridded Climate Dataset). This evaluation is crucial for informing, interpreting, and constructing multimodel ensemble future projections of climate extremes over Australia, climate-resilience planning, and GCM selection while conducting exercises like dynamical downscaling via GCMs. We find that temperature extremes (maximum-maximum temperature -TXx, number of summer days -SU, and number of days when maximum temperature is greater than 35 degrees C -Txge35) are reasonably well-simulated in comparison to precipitation extremes. However, GCMs tend to overestimate (underestimate) minimum (maximum) temperature extremes. GCMs also typically struggle to capture both extremely dry (consecutive dry days -CDD) and wet (99th percentile of precipitation -R99p) precipitation extremes, thus highlighting the underlying uncertainty of GCMs in capturing regional drought and flood conditions. Typically for both precipitation and temperature extremes, UKESM1-0-LL, FGOALS-g3, and GCMs from Met office Hadley Centre (HadGEM3-GC31-MM and HadGEM3-GC31-LL) and NOAA (GFDL-ESM4 and GFDL-CM4) consistently tend to show good performance. Our results also show that GCMs from the same modelling group and GCMs sharing key modelling components tend to have similar biases and thus are not highly independent.
C1 [Nishant, Nidhi; Di Virgilio, Giovanni] Univ New South Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia.
   [Nishant, Nidhi; Di Virgilio, Giovanni; Ji, Fei] Univ New South Wales, Australian Res Council Ctr Excellence Climate Ext, Sydney, NSW 2052, Australia.
   [Di Virgilio, Giovanni; Ji, Fei; Tam, Eugene; Beyer, Kathleen; Riley, Matthew L.] NSW Dept Planning & Environm, Sci Econ & Insights Div, Sydney, NSW 2141, Australia.
   [Beyer, Kathleen] Univ Tasmania, Sch Geog Planning & Spatial Sci, Hobart, Tas 7001, Australia.
C3 University of New South Wales Sydney; University of New South Wales
   Sydney; University of Tasmania
RP Nishant, N (corresponding author), Univ New South Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia.; Nishant, N (corresponding author), Univ New South Wales, Australian Res Council Ctr Excellence Climate Ext, Sydney, NSW 2052, Australia.
EM n.nidhi@unsw.edu.au
RI Beyer, Kathleen/JEO-4099-2023; Riley, Matthew/K-9038-2018
OI Nishant, Nidhi/0000-0003-1792-7366; Beyer, Kathleen/0000-0001-9825-8082;
   Di Virgilio, Giovanni/0000-0001-7014-8412; Riley,
   Matthew/0000-0002-9181-782X
FU NSW Climate Change Fund
FX This research was funded by NSW Climate Change Fund.
CR Abramowitz G, 2015, J CLIMATE, V28, P2332, DOI 10.1175/JCLI-D-14-00364.1
   Abramowitz G, 2010, AUST METEOROL OCEAN, V59, P3, DOI 10.22499/2.5901.002
   Agel L, 2020, J CLIMATE, V33, P9835, DOI 10.1175/JCLI-D-19-1025.1
   Akinsanola AA, 2021, ATMOS RES, V254, DOI 10.1016/j.atmosres.2021.105509
   Alexander L., 2015, CLIMPACTV2 INDICES S
   Alexander LV, 2017, WEATHER CLIM EXTREME, V15, P34, DOI 10.1016/j.wace.2017.02.001
   Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   Ashfaq M, 2017, CLIM DYNAM, V49, P193, DOI 10.1007/s00382-016-3337-7
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   Benesty J., 2009, NOISE REDUCTION SPEE, V1, P4, DOI DOI 10.1007/978-3-642-00296-0_5
   Bradstock RA, 2010, LANDSCAPE ECOL, V25, P607, DOI 10.1007/s10980-009-9443-8
   Cai XM, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036443
   Cannon AJ, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7e4f
   Chen CA, 2021, WEATHER CLIM EXTREME, V31, DOI 10.1016/j.wace.2021.100303
   Chen WL, 2011, J CLIMATE, V24, P4741, DOI 10.1175/2011JCLI4102.1
   Craig AP, 2012, INT J HIGH PERFORM C, V26, P31, DOI 10.1177/1094342011428141
   Dai A, 2006, J CLIMATE, V19, P4605, DOI 10.1175/JCLI3884.1
   Deng X, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001902
   Di Virgilio G, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002625
   Diaconescu EP, 2018, CLIM DYNAM, V50, P2061, DOI 10.1007/s00382-017-3736-4
   Evans A., 2020, An Enhanced Gridded Rainfall Analysis Scheme for Australia.
   Evans JP, 2014, GEOSCI MODEL DEV, V7, P621, DOI 10.5194/gmd-7-621-2014
   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
   Fiddes S, 2021, J SO HEMISPH EARTH, V71, P92, DOI 10.1071/ES20003
   Fischer EM, 2016, NAT CLIM CHANGE, V6, P986, DOI [10.1038/NCLIMATE3110, 10.1038/nclimate3110]
   Ge F, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd7ad
   Gleckler PJ, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008972
   Grose MR, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001469
   Guo YY, 2020, ADV ATMOS SCI, V37, P1057, DOI 10.1007/s00376-020-2004-4
   Gusain A, 2020, ATMOS RES, V232, DOI 10.1016/j.atmosres.2019.104680
   Haylock M, 2000, INT J CLIMATOL, V20, P1533, DOI 10.1002/1097-0088(20001115)20:13<1533::AID-JOC586>3.0.CO;2-J
   Herold N, 2018, WEATHER CLIM EXTREME, V20, P54, DOI 10.1016/j.wace.2018.01.001
   Herold N., 2016, CLIMPACT 2
   Irving DB, 2011, CLIM RES, V49, P169, DOI 10.3354/cr01028
   Iturbide M, 2020, EARTH SYST SCI DATA, V12, P2959, DOI 10.5194/essd-12-2959-2020
   Jiang ZH, 2015, J CLIMATE, V28, P8603, DOI 10.1175/JCLI-D-15-0099.1
   Johnson F, 2016, J HYDROL, V533, P439, DOI 10.1016/j.jhydrol.2015.12.035
   Johnson F, 2016, CLIMATIC CHANGE, V139, P21, DOI 10.1007/s10584-016-1689-y
   Jones DA, 2009, AUST METEOROL OCEAN, V58, P233, DOI 10.22499/2.5804.003
   Kiem AS, 2016, CLIMATIC CHANGE, V139, P37, DOI 10.1007/s10584-016-1798-7
   King AD, 2017, NAT CLIM CHANGE, V7, P412, DOI [10.1038/NCLIMATE3296, 10.1038/nclimate3296]
   King AD, 2016, GEOPHYS RES LETT, V43, P3438, DOI 10.1002/2015GL067448
   Kumar D, 2015, CLIM DYNAM, V45, P441, DOI 10.1007/s00382-014-2306-2
   Liu L, 2018, GEOSCI MODEL DEV, V11, P3557, DOI 10.5194/gmd-11-3557-2018
   Lun YR, 2021, INT J CLIMATOL, V41, P3994, DOI 10.1002/joc.7055
   Masud B, 2021, WATER-SUI, V13, DOI 10.3390/w13050737
   McSweeney CF, 2015, CLIM DYNAM, V44, P3237, DOI 10.1007/s00382-014-2418-8
   Min SK, 2013, J GEOPHYS RES-ATMOS, V118, P643, DOI 10.1002/jgrd.50164
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   Nishant N, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL092075
   Nishant N, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001833
   Ongoma V, 2018, NAT HAZARDS, V90, P901, DOI 10.1007/s11069-017-3079-9
   Overland JE, 2011, J CLIMATE, V24, P1583, DOI 10.1175/2010JCLI3462.1
   Pei FS, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11060487
   Perkins-Kirkpatrick SE, 2016, CLIMATIC CHANGE, V139, P101, DOI 10.1007/s10584-016-1650-0
   Plummer N, 1999, CLIMATIC CHANGE, V42, P183, DOI 10.1023/A:1005472418209
   Pope M, 2008, J CLIMATE, V21, P5091, DOI 10.1175/2008JCLI2304.1
   Randall DA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P589
   Rupp DE, 2013, J GEOPHYS RES-ATMOS, V118, P10884, DOI 10.1002/jgrd.50843
   Seneviratne SI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001474
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shi FX, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/7641019
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Srivastava A, 2020, WEATHER CLIM EXTREME, V29, DOI 10.1016/j.wace.2020.100268
   Stouffer RJ, 2017, B AM METEOROL SOC, V98, P95, DOI 10.1175/BAMS-D-15-00013.1
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tamoffo AT, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL089702
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tegegne G, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135357
   Trenberth KE, 1999, CLIMATIC CHANGE, V42, P327, DOI 10.1023/A:1005488920935
   Ukkola AM, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087820
   Walsh K, 2016, CLIMATIC CHANGE, V139, P55, DOI 10.1007/s10584-016-1737-7
   Wehner M, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2019.0545
   Westra S, 2016, CLIMATIC CHANGE, V139, P1, DOI 10.1007/s10584-016-1826-7
   [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
   White CJ, 2013, CLIM DYNAM, V41, P3145, DOI 10.1007/s00382-013-1718-8
   Wu CH, 2020, J HYDROMETEOROL, V21, P2177, DOI 10.1175/JHM-D-19-0299.1
   Xu K, 2019, STOCH ENV RES RISK A, V33, P321, DOI 10.1007/s00477-018-1569-2
   Yilmaz AG, 2014, HYDROL EARTH SYST SC, V18, P4065, DOI 10.5194/hess-18-4065-2014
   Zander KK, 2015, NAT CLIM CHANGE, V5, P647, DOI [10.1038/NCLIMATE2623, 10.1038/nclimate2623]
   Zhai P., 2021, CONTRIBUTION WORKING, DOI DOI 10.1007/978-94-007-4001-3_7
   Zhang MZ, 2024, CLIM DYNAM, V62, P4475, DOI 10.1007/s00382-022-06355-5
   Zhao T, 2008, J CLIMATE, V21, P1440, DOI 10.1175/2007JCLI1463.1
   Zheng BY, 2012, GLOBAL CHANGE BIOL, V18, P2899, DOI 10.1111/j.1365-2486.2012.02724.x
   Zivin JG, 2016, FUTURE CHILD, V26, P31, DOI 10.1353/foc.2016.0002
NR 86
TC 8
Z9 8
U1 5
U2 30
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD SEP
PY 2022
VL 13
IS 9
AR 1478
DI 10.3390/atmos13091478
PG 28
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 4S4AP
UT WOS:000857385900001
OA gold
DA 2025-01-10
ER

PT J
AU Wang, LB
   Rohli, R
   Lin, QG
   Jin, SF
   Yan, XD
AF Wang, Leibin
   Rohli, Robert, V
   Lin, Qigen
   Jin, Shaofei
   Yan, Xiaodong
TI Impact of Extreme Heatwaves on Population Exposure in China Due to
   Additional Warming
SO SUSTAINABILITY
LA English
DT Article
DE heatwaves; population exposure change; global warming; 1.5 degrees C
   warming scenario; 2.0 degrees C warming scenario
ID HIGH-TEMPERATURE EVENTS; HEAT WAVES; TEMPORAL VARIATIONS;
   CLIMATE-CHANGE; SUMMER; PRECIPITATION; 1.5-DEGREES-C; CMIP5
AB Extreme heatwaves are among the most important climate-related disasters affecting public health. Assessing heatwave-related population exposures under different warming scenarios is critical for climate change adaptation. Here, the Coupled Model Intercomparison Project phase 6 (CMIP6) multi-model ensemble output results are applied over several warming periods in the Intergovernmental Panel on Climate Change AR6 report, to estimate China's future heatwave population exposure under 1.5 degrees C and 2.0 degrees C warming scenarios. Our results show a significant increase in projected future annual heatwave days (HD) under both scenarios. With an additional temperature increase of 0.5 degrees C to 2.0 degrees C of warming, by mid-century an additional 20.15 percent increase in annual HD would occur, over 1.5 degrees C warming. If the climate warmed from 1.5 degrees C to 2.0 degrees C by mid-century, population exposure would increase by an additional 40.6 percent. Among the three influencing elements that cause the changes in population exposure related to heatwaves in China-climate, population, and interaction (e.g., as urbanization affects population redistribution)-climate plays the dominant role in different warming scenarios (relative contribution exceeds 70 percent). Therefore, considering the future heat risks, humanity benefits from a 0.5 degrees C reduction in warming, particularly in eastern China. This conclusion may provide helpful insights for developing mitigation strategies for climate change.
C1 [Wang, Leibin] Hebei Normal Univ, Hebei Technol Innovat Ctr Remote Sensing Identifi, Sch Geog Sci, Postdoctoral Res Stn Geog, Shijiazhuang 050024, Hebei, Peoples R China.
   [Rohli, Robert, V] Louisiana State Univ, Coll Coast & Environm, Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA.
   [Rohli, Robert, V] Louisiana State Univ, Coastal Studies Inst, Baton Rouge, LA 70803 USA.
   [Lin, Qigen] Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Inst Disaster Risk Management, Nanjing 210044, Peoples R China.
   [Jin, Shaofei] MinJiang Univ, Dept Geog, Fuzhou 350108, Peoples R China.
   [Yan, Xiaodong] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
C3 Hebei Normal University; Louisiana State University System; Louisiana
   State University; Louisiana State University System; Louisiana State
   University; Nanjing University of Information Science & Technology;
   Minjiang University; Beijing Normal University
RP Jin, SF (corresponding author), MinJiang Univ, Dept Geog, Fuzhou 350108, Peoples R China.; Yan, XD (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
EM jinsf@tea.ac.cn; yxd@bnu.edu.cn
RI Lin, Qigen/IXX-1554-2023; wang, leibin/HKE-2120-2023
OI wang, leibin/0000-0002-0671-1124; Rohli, Robert/0000-0003-2198-5606;
   Lin, Qigen/0000-0002-0739-7827; Yan, Xiaodong/0000-0002-0774-9140
FU Science Foundation of Hebei Normal University [L2018B23]; Fujian
   Province Forestry Science and Technology Research Project [2022FKJ02];
   Fujian Mental Health Human-Computer Interaction Technology Research
   Center [2020L3024]
FX This research was funded by Science Foundation of Hebei Normal
   University, grant number L2018B23. This research was funded by Fujian
   Province Forestry Science and Technology Research Project, grant number
   2022FKJ02. This research was funded by Fujian Mental Health
   Human-Computer Interaction Technology Research Center, grant number
   2020L3024.
CR Barriopedro D, 2011, SCIENCE, V332, P220, DOI 10.1126/science.1201224
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Boé J, 2007, INT J CLIMATOL, V27, P1643, DOI 10.1002/joc.1602
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Chen HP, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac69fc
   Chen HP, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001941
   Chen HP, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab072e
   Chen HP, 2015, J CLIMATE, V28, P5430, DOI 10.1175/JCLI-D-14-00707.1
   Chen J, 2018, EARTH SYST DYNAM, V9, P1097, DOI 10.5194/esd-9-1097-2018
   Chen J, 2013, WATER RESOUR RES, V49, P4187, DOI 10.1002/wrcr.20331
   Chen Y, 2017, GEOPHYS RES LETT, V44, P5096, DOI 10.1002/2016GL072281
   Chen YD, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0421-y
   Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/nclimate2468, 10.1038/NCLIMATE2468]
   Coffel ED, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaa00e
   Dematte JE, 1998, ANN INTERN MED, V129, P173, DOI 10.7326/0003-4819-129-3-199808010-00001
   Ding T, 2011, ADV ATMOS SCI, V28, P322, DOI 10.1007/s00376-010-9236-7
   [董思言 Dong Siyan], 2014, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V10, P365
   Dunn RJH, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD032263
   Good P, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13667
   Gudmundsson L, 2012, HYDROL EARTH SYST SC, V16, P3383, DOI 10.5194/hess-16-3383-2012
   Han LF, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2021JD035009
   Hoyer S., 2017, Journal of Open Research Software, V5, P10, DOI [10.5334/jors.148, DOI 10.5334/JORS.148]
   IPCC, 2022, Global Warming of 1.5 C: IPCC Special Report on impacts of global warming of 1.5 C above pre-industrial levels in context of strengthening response to climate change, sustainable development, and efforts to eradicate poverty, V1st ed.
   [姜彤 Jiang Tong], 2017, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V13, P128
   Jones B, 2018, CLIMATIC CHANGE, V146, P423, DOI 10.1007/s10584-017-2133-7
   Jones B, 2015, NAT CLIM CHANGE, V5, P652, DOI [10.1038/nclimate2631, 10.1038/NCLIMATE2631]
   Katsafados P, 2014, NAT HAZARD EARTH SYS, V14, P1531, DOI 10.5194/nhess-14-1531-2014
   Kong QQ, 2020, WEATHER CLIM EXTREME, V28, DOI 10.1016/j.wace.2019.100242
   Li DH, 2018, GEOPHYS RES LETT, V45, P1541, DOI 10.1002/2017GL076753
   Li HB, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012882
   Li Y, 2021, INT J CLIMATOL, V41, P1292, DOI 10.1002/joc.6808
   Liao XL, 2019, SCI TOTAL ENVIRON, V663, P644, DOI 10.1016/j.scitotenv.2019.01.290
   Liu Z, 2017, SCI REP-UK, V7, DOI 10.1038/srep43909
   Logan T., 2022, ZENODO, DOI DOI 10.5281/ZENODO.5649661
   Ma F, 2021, SCI TOTAL ENVIRON, V772, DOI 10.1016/j.scitotenv.2021.145004
   Ma F, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087809
   [Masson-Delmotte V. Intergovernmental Panel on Climate Change Intergovernmental Panel on Climate Change], 2021, 6 ASSESSMENT REPORT, DOI [DOI 10.1017/9781009157896, 10.1017/9781009157896]
   Matthews TKR, 2017, P NATL ACAD SCI USA, V114, P3861, DOI 10.1073/pnas.1617526114
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Piani C, 2010, J HYDROL, V395, P199, DOI 10.1016/j.jhydrol.2010.10.024
   Purich A, 2014, J CLIMATE, V27, P7807, DOI 10.1175/JCLI-D-14-00098.1
   Qiu WT, 2020, PHYS CHEM EARTH, V116, DOI 10.1016/j.pec.2020.102855
   Qu X, 2019, ADV ATMOS SCI, V36, P279, DOI 10.1007/s00376-018-8138-y
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rohat G, 2019, GLOBAL PLANET CHANGE, V172, P45, DOI 10.1016/j.gloplacha.2018.09.013
   Rohat G, 2019, EARTHS FUTURE, V7, P528, DOI 10.1029/2018EF001020
   ROHLI RV, 1994, PHYS GEOGR, V15, P310, DOI 10.1080/02723646.1994.10642519
   Rose A., 2021, Landscan global 2020 (data set)
   Russo S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08070-4
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Sanderson BM, 2017, EARTH SYST DYNAM, V8, P827, DOI 10.5194/esd-8-827-2017
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Sun QH, 2017, GEOPHYS RES LETT, V44, P5078, DOI 10.1002/2017GL073531
   Tang SK, 2021, INT J CLIMATOL, V41, P811, DOI 10.1002/joc.6670
   Themessl MJ, 2012, CLIMATIC CHANGE, V112, P449, DOI 10.1007/s10584-011-0224-4
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   van Vuuren DP, 2014, CLIMATIC CHANGE, V122, P373, DOI 10.1007/s10584-013-0906-1
   Vautard R, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/aba3d4
   Wang PY, 2018, CLIM DYNAM, V50, P1901, DOI 10.1007/s00382-017-3728-4
   Wang WW, 2016, CLIM DYNAM, V46, P2923, DOI 10.1007/s00382-015-2741-8
   Wang YJ, 2014, INT J CLIMATOL, V34, P3054, DOI 10.1002/joc.3893
   Wei K, 2011, ADV ATMOS SCI, V28, P1023, DOI 10.1007/s00376-010-0080-6
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Wu XY, 2021, INT J CLIMATOL, V41, P5766, DOI 10.1002/joc.7152
   Zhan LF, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/7069195
   Zhang GW, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac046e
   Zhu HH, 2021, SCI BULL, V66, P2528, DOI 10.1016/j.scib.2021.07.026
   Zhu HH, 2020, ADV ATMOS SCI, V37, P1119, DOI 10.1007/s00376-020-9289-1
NR 69
TC 6
Z9 7
U1 6
U2 49
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 11458
DI 10.3390/su141811458
PG 13
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 4R3NT
UT WOS:000856675600001
OA gold
DA 2025-01-10
ER

PT J
AU Khedher, KM
   Abu-Taweel, GM
   Al-Fifi, Z
   Qoradi, MD
   Al-khafaji, Z
   Halder, B
   Bandyopadhyay, J
   Shahid, S
   Essaied, L
   Yaseen, ZM
AF Khedher, Khaled Mohamed
   Abu-Taweel, Gasem Mohammad
   Al-Fifi, Zarraq
   Qoradi, Mofareh D.
   Al-khafaji, Zainab
   Halder, Bijay
   Bandyopadhyay, Jatisankar
   Shahid, Shamsuddin
   Essaied, Laatar
   Yaseen, Zaher Mundher
TI Farasan Island of Saudi Arabia confronts the measurable impacts of
   global warming in 45 years
SO SCIENTIFIC REPORTS
LA English
DT Article
ID SHORELINE CHANGE ANALYSIS; LANDSAT TM DATA; WATERLINE EXTRACTION; COAST;
   INDIA; GIS
AB Coastal vulnerability assessment is the key to coastal management and sustainable development. Sea level rise (SLR) and anthropogenic activities have triggered more extreme climatic events and made the coastal region vulnerable in recent decades. Many parts of the world also noticed increased sediment deposition, tidal effects, and changes in the shoreline. Farasan Island, located in the south-eastern part of Saudi Arabia, experienced changes in sediment deposition from the Red Sea in recent years. This study used Digital Shoreline Analysis System (DSAS) to delineate the shoreline changes of Farasan Island during 1975-2020. Multi-temporal Landsat data and DSAS were used for shoreline calculation based on endpoint rate (EPR) and linear regression. Results revealed an increase in vegetation area on the island by 17.18 km(2) during 1975-1989 and then a decrease by 69.85 km(2) during 1990-2020. The built-up land increased by 5.69 km(2) over the study period to accommodate the population growth. The annual temperature showed an increase at a rate of 0.196 degrees C/year. The sea-level rise caused a shift in the island's shoreline and caused a reduction of land by 80.86 km(2) during 1975-2020. The highly influenced areas by the environmental changes were the north, central, northwest, southwest, and northeast parts of the island. Urban expansion and sea-level rise gradually influence the island ecosystem, which needs proper attention, management, policies, and awareness planning to protect the environment of Farasan Island. Also, the study's findings could help develop new strategies and plan climate change adaptation.
C1 [Khedher, Khaled Mohamed] King Khalid Univ, Coll Engn, Dept Civil Engn, Abha 61421, Saudi Arabia.
   [Khedher, Khaled Mohamed] High Inst Technol Studies, Dept Civil Engn, Mrezgua Univ Campus, Nabeul 8000, Tunisia.
   [Abu-Taweel, Gasem Mohammad; Al-Fifi, Zarraq] Jazan Univ, Coll Sci, Dept Biol, POB 2079, Jazan 45142, Saudi Arabia.
   [Qoradi, Mofareh D.] King Saud Univ, Coll Arts, Dept Geog, Riyadh 11451, Saudi Arabia.
   [Al-khafaji, Zainab] AL Mustaqbal Univ Coll, Bldg & Construct Engn Technol Dept, Hillah 51001, Iraq.
   [Halder, Bijay; Bandyopadhyay, Jatisankar] Vidyasagar Univ, Dept Remote Sensing & GIS, Midnapore, W Bengal, India.
   [Shahid, Shamsuddin] Univ Teknol Malaysia UTM, Fac Engn, Sch Civil Engn, Johor Baharu 81310, Malaysia.
   [Essaied, Laatar] Co Phosphate Gafsa & Chem Grp Tunisia, Appt D6 Immeuble Ramsis Ave Habib Bourguiba, Ezzahra Ben Arous 2034, Tunisia.
   [Yaseen, Zaher Mundher] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Thi Qar 64001, Iraq.
C3 King Khalid University; Jazan University; King Saud University;
   Al-Mustaqbal University College; Vidyasagar University; Universiti
   Teknologi Malaysia; Al-Ayen University
RP Yaseen, ZM (corresponding author), Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Thi Qar 64001, Iraq.
EM yaseen@alayen.edu.iq
RI Abu-Taweel, Gasem/O-6767-2019; ALFaifi, zarraq/GYA-2609-2022; Halder,
   Bijay/AAT-3875-2020; SHAHID, SHAMSUDDIN/B-5185-2010; Bandyopadhyay,
   Jatisankar/AAE-1966-2022; Al-khafaji, Zainab/E-5962-2019; Yaseen,
   Zaher/G-7029-2018
OI HALDER, BIJAY/0000-0002-4279-5214; Al-khafaji,
   Zainab/0000-0002-5450-7312; Yaseen, Zaher/0000-0003-3647-7137
CR Aarninkhof SGJ, 2003, COAST ENG, V49, P275, DOI 10.1016/S0378-3839(03)00064-4
   ADDO K.APPEANING., 2012, Mar Sci, V1, P1, DOI DOI 10.5923/J.MS.20110101.01
   Al Fugura A, 2011, ESTUAR COAST SHELF S, V95, P395, DOI 10.1016/j.ecss.2011.10.009
   Al-Hatrushi SM, 2013, ARAB J GEOSCI, V6, P1479, DOI 10.1007/s12517-011-0424-2
   Al-Mimar HS, 2018, MODEL EARTH SYST ENV, V4, P1449, DOI 10.1007/s40808-018-0510-5
   Al-Qthanin R, 2021, J ARID ENVIRON, V189, DOI 10.1016/j.jaridenv.2021.104488
   Al-Qthanin RN, 2020, FORESTS, V11, DOI 10.3390/f11121287
   Alawad KA, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11192224
   Ali A., 2016, DEFENCE SITES 3 HERI, DOI [10.2495/dshf160091, DOI 10.2495/DSHF160091]
   Almalki KA, 2017, J MAPS, V13, P900, DOI 10.1080/17445647.2017.1401492
   Almalki KA, 2016, CARBONATE EVAPORITE, V31, P115, DOI 10.1007/s13146-015-0247-4
   Almalki KA, 2014, TECTONOPHYSICS, V617, P140, DOI 10.1016/j.tecto.2014.01.030
   Amiri R, 2009, REMOTE SENS ENVIRON, V113, P2606, DOI 10.1016/j.rse.2009.07.021
   [Anonymous], USGS EARTH EXPLORER
   Avdan U, 2016, J SENSORS, V2016, DOI 10.1155/2016/1480307
   Awadh SM, 2021, ENVIRON DEV SUSTAIN, V23, P1, DOI 10.1007/s10668-019-00578-z
   Baral R, 2018, J INDIAN SOC REMOTE, V46, P1637, DOI 10.1007/s12524-018-0818-7
   Boak EH, 2005, J COASTAL RES, V21, P688, DOI 10.2112/03-0071.1
   Cheruto MC, 2016, ASSESSMENT LAND USE
   Cohen JL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050582
   Crowell M, 1997, J COASTAL RES, V13, P1245
   Cui BL, 2011, GEOMORPHOLOGY, V127, P32, DOI 10.1016/j.geomorph.2010.12.001
   Cunningham PL, 2011, ORYX, V45, P50, DOI 10.1017/S0030605310001298
   DIVA-GIS, ABOUT US
   DOLAN R, 1991, J COASTAL RES, V7, P723
   Durduran SS, 2010, ENVIRON MONIT ASSESS, V164, P453, DOI 10.1007/s10661-009-0906-9
   Eid EM, 2020, OCEANOLOGIA, V62, P200, DOI 10.1016/j.oceano.2019.12.001
   Ekercin S, 2007, J COASTAL RES, V23, P691, DOI 10.2112/04-0398.1
   El-Serehy HA, 2020, SAUDI J BIOL SCI, V27, P1412, DOI 10.1016/j.sjbs.2019.12.012
   ESRI ArcGIS, SOFTWARE V106
   Fletcher C, 2003, J COASTAL RES, P106
   Ghosh A, 2016, MODEL EARTH SYST ENV, V2, DOI 10.1007/s40808-016-0130-x
   Guariglia A, 2006, ANN GEOPHYS-ITALY, V49, P295
   Halder B., 2021, KNOWL BASED ENG SCI, V2, P34, DOI [DOI 10.51526/KBES.2021.2.3.34-53, 10.51526/kbes.2021.2.3.34-53]
   Halder B., 2021, Saf. Extreme Environ, V3, P27, DOI DOI 10.1007/S42797-021-00032-2
   Halder B, 2022, PHYS CHEM EARTH, V126, DOI 10.1016/j.pce.2022.103135
   Halder B, 2021, SUSTAIN CITIES SOC, V74, DOI 10.1016/j.scs.2021.103186
   Halder B, 2020, MODEL EARTH SYST ENV, V6, P2581, DOI 10.1007/s40808-020-00852-4
   Hashim BM, 2022, NAT HAZARDS, V112, P1223, DOI 10.1007/s11069-022-05224-y
   Hausmann N, 2017, J ISL COAST ARCHAEOL, V12, P360, DOI 10.1080/15564894.2016.1216478
   Hereher ME, 2011, ENVIRON EARTH SCI, V64, P1117, DOI 10.1007/s12665-011-0928-9
   Himmelstoss A., 2018, DIGITAL SHORELINE AN, DOI [10.3133/ofr20181179, DOI 10.3133/OFR20181179]
   Khalil H. M., 2021, AUTHOR RESPONSEQUATE, DOI [10.1002/gj.4145/v3/response1, DOI 10.1002/GJ.4145/V3/RESPONSE1]
   Khobragade AN, 2014, ANNU IEEE IND CONF
   Kumar A, 2010, GEOMORPHOLOGY, V120, P133, DOI 10.1016/j.geomorph.2010.02.023
   Lhissou R., 2014, Eurasian Journal of Soil Science, V3, P82
   Liu H. X., 2011, Journal of Geographic Information System, V3, P99
   Liu HX, 2007, J COASTAL RES, V23, P1359, DOI 10.2112/05-0580.1
   M-Muslim A, 2007, J COASTAL RES, V23, P1399, DOI 10.2112/04-0421.1
   Marfai MA, 2008, ENVIRON MONIT ASSESS, V142, P297, DOI 10.1007/s10661-007-9929-2
   Mather P.M., 2022, Computer Processing of Remotely-Sensed Images, DOI [10.1002/9780470666517, DOI 10.1002/9780470666517]
   Mills JP, 2005, EARTH SURF PROC LAND, V30, P651, DOI 10.1002/esp.1165
   Morton RA, 2005, J COASTAL RES, V21, P704, DOI 10.2112/04-0230.1
   Mujabar PS, 2013, ARAB J GEOSCI, V6, P647, DOI 10.1007/s12517-011-0394-4
   Nandi S, 2016, J COAST CONSERV, V20, P61, DOI 10.1007/s11852-015-0418-4
   Natesan U, 2013, ENVIRON MONIT ASSESS, V185, P5099, DOI 10.1007/s10661-012-2928-y
   Pajak MJ, 2002, J COASTAL RES, V18, P329
   Pankratz HG, 2021, SURV GEOPHYS, V42, P177, DOI 10.1007/s10712-020-09623-3
   Pavlopoulos K, 2018, QUATERN INT, V493, P198, DOI 10.1016/j.quaint.2018.06.004
   Roy DP, 2014, REMOTE SENS ENVIRON, V145, P154, DOI 10.1016/j.rse.2014.02.001
   Ryu JH, 2002, REMOTE SENS ENVIRON, V83, P442, DOI 10.1016/S0034-4257(02)00059-7
   Salghuna NN, 2015, AQUAT PR, V4, P317, DOI 10.1016/j.aqpro.2015.02.043
   Semenza JC, 1996, NEW ENGL J MED, V335, P84, DOI 10.1056/NEJM199607113350203
   Shalaby A, 2007, APPL GEOGR, V27, P28, DOI 10.1016/j.apgeog.2006.09.004
   Shamji VR, 2020, OCEAN ENG, V207, DOI 10.1016/j.oceaneng.2020.107395
   Sobrino JA, 2011, INT J REMOTE SENS, V32, P4267, DOI 10.1080/01431161.2010.486414
   Song C, 2001, REMOTE SENS ENVIRON, V75, P230, DOI 10.1016/S0034-4257(00)00169-3
   Tao H, 2021, ENG APPL COMP FLUID, V15, P1585, DOI 10.1080/19942060.2021.1984992
   Thakur S., 2017, Research Journal of Marine Sciences, V5, P1, DOI DOI 10.1016/j.rse.2003.11.005
   Thao PTP, 2008, INT S GEOINF SPAT IN, P1
   Thieler E.R., 2009, OPEN FILE REPORT, DOI [10.3133/ofr20081278, DOI 10.3133/OFR20081278]
   Weng QH, 2004, REMOTE SENS ENVIRON, V89, P467, DOI 10.1016/j.rse.2003.11.005
   White SA, 2003, REMOTE SENS ENVIRON, V85, P39, DOI 10.1016/S0034-4257(02)00185-2
   Yamano H, 2006, GEOMORPHOLOGY, V82, P398, DOI 10.1016/j.geomorph.2006.06.003
   Yao R, 2019, GEOPHYS RES LETT, V46, P2204, DOI 10.1029/2018GL081816
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Yunus AP, 2016, COAST RES LIBR, V14, P65, DOI 10.1007/978-3-319-28528-3_5
   Zhang YS, 2009, INT J APPL EARTH OBS, V11, P256, DOI 10.1016/j.jag.2009.03.001
NR 78
TC 11
Z9 11
U1 2
U2 7
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD AUG 22
PY 2022
VL 12
IS 1
AR 14322
DI 10.1038/s41598-022-18225-5
PG 20
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 3Z0XT
UT WOS:000844144900078
PM 35995829
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wójcik-Madej, J
   Sowinska-Swierkosz, B
AF Wojcik-Madej, Julia
   Sowinska-Swierkosz, Barbara
TI Pre-Existing Interventions as NBS Candidates to Address Societal
   Challenges
SO SUSTAINABILITY
LA English
DT Article
DE nature-based solutions; pre-existing interventions; societal challenges;
   urban areas
ID ECOSYSTEM SERVICES; FRAMEWORK; LESSONS
AB The nature-based solutions (NBS) concept is an umbrella term that connects and organizes previous concepts from the 'green-concept family'. Therefore, interventions similar to NBS were used for a long time before this term was first introduced. Such pre-existing actions, to be considered as NBS, must meet the Global Standards formulated by the Union for Conservation of Nature Global Standards. One of these standards refers to the challenge-orientation of NBS. The aim of this study was to propose objective criteria that enable the assessment of the challenge-orientation of such interventions. To this end, a set of criteria referring to the seven societal challenges was presented. A Lublin city (Poland) case study was applied in relation to 24 types of interventions. The results showed that all of the analysed pre-existing actions met at least two of the challenges. The actions with the greatest challenge-orientation potential continuity for ecological networks are: protecting surface wetlands, public parks, allotment gardens, restoring waterbodies and maintaining floodplains, and the lowest potential are: creating nesting boxes for bats and insect hotels, installing apiaries and below-ground rainwater collection systems. The analysed interventions responded, to a greater extent, to challenges such as to human health, climate change adaptation and mitigation and ecosystem degradation/biodiversity loss, and, to the least extent, to food security and socioeconomic development Moreover, the study revealed that the scale of the pre-existing intervention type is too general to draw conclusions regarding its challenge-orientation: each piece of the intervention should be assessed separately in relation to the conditions in the local context.
C1 [Wojcik-Madej, Julia; Sowinska-Swierkosz, Barbara] Univ Life Sci Lublin, Dept Hydrobiol & Ecosyst Protect, Dobrzanskiego 37, PL-20262 Lublin, Poland.
C3 University of Life Sciences in Lublin
RP Sowinska-Swierkosz, B (corresponding author), Univ Life Sci Lublin, Dept Hydrobiol & Ecosyst Protect, Dobrzanskiego 37, PL-20262 Lublin, Poland.
EM barbara.sowinska@wp.pl
RI Sowińska-Świerkosz, Barbara/AAM-8818-2020
OI Sowinska-Swierkosz, Barbara/0000-0002-0276-7809; Wojcik-Madej,
   Julia/0000-0003-1324-9000
FU University of Life Sciences in Lublin, Poland [SD/64/ISGiE/2022]
FX This research was supported by project no. SD/64/I ' SGiE/2022 provided
   by the University of Life Sciences in Lublin, Poland.
CR Albert C, 2021, AMBIO, V50, P1446, DOI 10.1007/s13280-020-01365-1
   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 CC, 2022, J ENVIRON MANAGE, V310, DOI 10.1016/j.jenvman.2022.114727
   Anderson CC, 2021, AMBIO, V50, P1552, DOI 10.1007/s13280-021-01502-4
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on "Nature based solutions and re naturing cities.", DOI DOI 10.2777/479582
   Bulkeley H., 2020, NATURE BASED SOLUTIO, DOI [10.2777/236007, DOI 10.2777/236007]
   Burch S, 2014, ENVIRON SCI POLICY, V37, P79, DOI 10.1016/j.envsci.2013.08.014
   Carvalho P, 2022, J CLEAN PROD, V338, DOI 10.1016/j.jclepro.2022.130652
   Castellar JAC, 2021, SCI TOTAL ENVIRON, V779, DOI 10.1016/j.scitotenv.2021.146237
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chrysoulakis N., 2019, ThinkNature Nature-Based Solutions Handbook, DOI 10.26225/jerv-w202
   Cohen-Shacham E., 2016, Nature-based Solutions to address global societal challenges, V97, P2016, DOI [DOI 10.2305/IUCN.CH.2016.13.EN, DOI 10.2305/IUCN.CH.2016.13.ENB.P001/REF]
   Croeser T, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127337
   Czupryn P., 2021, ENVIRON IMPACT ASSES
   Di Pirro E, 2022, FORESTS, V13, DOI 10.3390/f13040548
   Díaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002
   Dick J, 2019, ENVIRON EVID, V8, DOI 10.1186/s13750-019-0180-4
   Dumitru A., 2021, Evaluating the impact of nature-based solutions: A summary for policy makers, DOI [10.2777/2498, 10.2777/244577]
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   Fastenrath S, 2020, GEOFORUM, V116, P63, DOI 10.1016/j.geoforum.2020.07.011
   Frantzeskaki N, 2019, ENVIRON SCI POLICY, V93, P101, DOI 10.1016/j.envsci.2018.12.033
   Hauck J, 2013, GAIA, V22, P232, DOI 10.14512/gaia.22.4.6
   Herrmann-Pillath Carsten, 2022, Nature-Based Solutions, V2, DOI DOI 10.1016/J.NBSJ.2022.100011
   Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005
   IUCN, 2020, IUCN Global Standard for Nature-based Solutions. A user-friendly framework for the verification, design and scaling up of NbS, DOI [10.2305/IUCN.CH.2020.08.en, DOI 10.2305/IUCN.CH.2020.08.EN]
   Kolokotsa D, 2020, ENERG BUILDINGS, V229, DOI 10.1016/j.enbuild.2020.110527
   Korkmaz C, 2020, HABITAT INT, V95, DOI 10.1016/j.habitatint.2019.102081
   López A, 2019, IOP C SER EARTH ENV, V323, DOI 10.1088/1755-1315/323/1/012078
   MacKinnon K, 2011, ORYX, V45, P461, DOI 10.1017/S0030605311001608
   Majidi AN, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11226361
   Ommer J, 2022, INT J DISAST RISK RE, V75, DOI 10.1016/j.ijdrr.2022.102966
   Parker J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187439
   Raymond CM, 2017, ENVIRON SCI POLICY, V77, P15, DOI 10.1016/j.envsci.2017.07.008
   Science for Environment Policy, 2021, The solution is in nature. Future Brief 24, DOI DOI 10.2779/00625
   Sowinska-Swierkosz B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132111674
   Sowinska-Swierkosz B, 2021, SCI TOTAL ENVIRON, V787, DOI 10.1016/j.scitotenv.2021.147615
   Sowinska-Swierkosz B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020835
   Sowinska-Swierkosz Barbara., 2022, Nature-Based Solutions, V2, P100009, DOI DOI 10.1016/J.NBSJ.2022.100009
   The Lublin City Council, 2019, STUDY CONDITIONS DIR
   UNEP, 2020, 5 EDITION UNEP ADAPT
   Wendling L., 2021, NATURE BASED SOLUTIO, V1, P100003, DOI [10.1016/j.nbsj.2021.100003, DOI 10.1016/J.NBSJ.2021.100003]
   Xie LJ, 2022, ENVIRON SCI POLICY, V132, P119, DOI 10.1016/j.envsci.2022.02.017
   Young AF, 2019, INT J DISAST RISK RE, V39, DOI 10.1016/j.ijdrr.2019.101219
NR 44
TC 4
Z9 4
U1 0
U2 11
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 9609
DI 10.3390/su14159609
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 3R5YY
UT WOS:000838989100001
OA gold
DA 2025-01-10
ER

PT J
AU McCulloch, RD
   Mathiasen, P
   Premoli, AC
AF McCulloch, Robert D.
   Mathiasen, Paula
   Premoli, Andrea C.
TI Palaeoecological evidence of pollen morphological changes: A climate
   change adaptation strategy?
SO PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
LA English
DT Article
DE Nothofagus; Patagonia; Phenotypic plasticity; Pollen analysis; Refugium;
   Transient hybridization
ID TIERRA-DEL-FUEGO; PHENOTYPIC PLASTICITY; SOUTHERN PATAGONIA; NOTHOFAGUS
   NOTHOFAGACEAE; GENETIC-VARIATION; ULTIMA ESPERANZA; HYBRIDIZATION;
   HISTORY; LIMITS; INTROGRESSION
AB Pollen records have been used to reconstruct changes in climate, based on the presence of taxa as proxies for environmental conditions. Pollen grains have morphological features that allow for the identification of different species, genera, and families of flowering plants. However, ecologically distinct species share similar pollen types that may make biogeographic and climate reconstructions problematic. Also, the responses of populations and species to climate changes adjusted through either plasticity or adaptation have been overlooked. Such adjustments are most probably the product of long-lasting in situ persistence in local refugia under favourable microclimates despite hostile regional climate. In southern South America three species of the dominant tree cover of the subgenus Nothofagus are present, two deciduous (N. antarctica and N. pumilio) and one evergreen (N. betuloides), identified in the pollen group Nothofagus dombeyi type. Here we present a pollen record from Punta Arenas (similar to 53 degrees S) that documents significant changes in pollen size that took place during the Late glacial and Early Holocene. The occurrence of smaller Nothofagus dombeyi type pollen grains during the Late glacial may indicate rapid local adaptation to colder and possibly wetter conditions. Our findings are supported by Ecological niche modelling which suggests limited availability of Nothofagus refugia during the Last Glacial Maximum. The local refugia may also have fostered interbreeding between congeneric species that led to unique morphological features that increased the fitness of the recipient pool. We postulate that such modifications were due to the potential transient hybridization between species that later diverged by backcrossing with each deciduous and evergreen taxa.
C1 [McCulloch, Robert D.] Ctr Invest Ecosistemas Patagonia, Coyhaique, Aysen, Chile.
   [McCulloch, Robert D.] Univ Edinburgh, Sch Geosci, Edinburgh EH8 9XP, Scotland.
   [Mathiasen, Paula; Premoli, Andrea C.] Univ Nacl Comahue, Ctr Reg Univ Bariloche, INIBIOMA CONICET, Quintral 1250, RA-8400 San Carlos De Bariloche, Argentina.
C3 University of Edinburgh; Universidad Nacional del Comahue
RP McCulloch, RD (corresponding author), Ctr Invest Ecosistemas Patagonia, Coyhaique, Aysen, Chile.; McCulloch, RD (corresponding author), Univ Edinburgh, Sch Geosci, Edinburgh EH8 9XP, Scotland.
EM robert.mcculloch@ciep.cl
RI PREMOLI, ANDREA/JFL-0693-2023
OI Mathiasen, Paula/0000-0003-4970-5776; McCulloch,
   Robert/0000-0001-5542-3703
FU Universidad Nacional del Comahue [04/B235]; Agencia Nacional de
   Promocion Cientifica y Tecnologica, Argentina [688, 149]; Natural
   Environment Research Council (NERC) [743/0598]; University of Edinburgh;
   ANID [R17A10002, R20F0002]; CONICET PIP [11220200102500CO]
FX RDM was supported by the Programa Regional ANID R17A10002 (Laboratorio
   Ecoclimatico) y R20F0002 (PATSER) . PM and ACP were supported by funds
   from CONICET PIP 11220200102500CO, Universidad Nacional del Comahue
   04/B235, and the Agencia Nacional de Promocion Cientifica y Tecnologica,
   Argentina projects PICT Joven No 688 to PM and PICT for Scientific areas
   internationally consolidated No 149 to ACP. Fieldwork was supported by
   the Natural Environment Research Council (NERC) and radiocarbon support
   was provided by NERC Radiocarbon Laboratory East Kilbride, Glasgow
   (Allocation 743/0598) . We thank Alicia Marticorena, Botany Department,
   University of Concepcion for providing herbarium data and Claudia
   Mansilla for assistance with the pollen analysis. Chris Hayward provided
   support for the electron probe microanalysis of the tephra layers at the
   Tephra Analytical Unit, The University of Edinburgh. We are grateful to
   Mary McCulloch and Mike Bentley for assistance in field work. PM and ACP
   are members of CONICET.
CR Acosta MC, 2010, MOL PHYLOGENET EVOL, V54, P235, DOI 10.1016/j.ympev.2009.08.008
   Aiello-Lammens ME, 2015, ECOGRAPHY, V38, P541, DOI 10.1111/ecog.01132
   Andres Fernandez Damian, 2016, Acta Palaeobotanica, V56, P223, DOI 10.1515/acpa-2016-0017
   [Anonymous], 1985, Palaeontographica Abteilung A
   [Anonymous], 2006, EVOLUTION GENETIC EX
   [Anonymous], 1990, N. Z. Geol. Surv. Paleontol. Bull.
   Arnold Michael L., 2009, Journal of Biology (London), V8, P82, DOI 10.1186/jbiol176
   Arnold ML, 2017, TRENDS ECOL EVOL, V32, P601, DOI 10.1016/j.tree.2017.05.007
   Berglund B., 1986, Handbook of Holocene palaeoecology and palaeohydrology
   Blaauw M, 2011, BAYESIAN ANAL, V6, P457, DOI 10.1214/ba/1339616472
   BRADSHAW A. D., 1965, ADVANCE GENET, V13, P115, DOI 10.1016/S0065-2660(08)60048-6
   BRADSHAW AD, 1991, PHILOS T R SOC B, V333, P289, DOI 10.1098/rstb.1991.0079
   BRADSHAW AD, 1991, ANN BOT-LONDON, V67, P5, DOI 10.1093/oxfordjournals.aob.a088209
   Burry Lidia S., 2006, Revista del Museo Argentino de Ciencias Naturales, V8, P127
   Callahan HS, 1997, BIOESSAYS, V19, P519, DOI 10.1002/bies.950190611
   CIEFAP and MAyDS, 2016, INFORME FINAL
   CONAFCONAMABIRF, 1999, CAT EV REC VEG, P89
   Coyne J. A., 2004, Speciation
   CUSHING E J, 1967, Review of Palaeobotany and Palynology, V4, P87, DOI 10.1016/0034-6667(67)90175-3
   Davies AL, 2017, BIOL CONSERV, V213, P95, DOI 10.1016/j.biocon.2017.06.006
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   de Jong G, 2005, NEW PHYTOL, V166, P101, DOI 10.1111/j.1469-8137.2005.01322.x
   Trivi de Mandri Matilde E., 2006, Rev. Mex. Biodiv., V77, P89
   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
   Diaz DG, 2020, FOREST ECOL MANAG, V461, DOI 10.1016/j.foreco.2020.117931
   Ejsmond MJ, 2015, PLANT ECOL, V216, P1407, DOI 10.1007/s11258-015-0519-z
   Ejsmond MJ, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00147.1
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Folk RA, 2017, SYST BIOL, V66, P320, DOI 10.1093/sysbio/syw083
   Garreaud R, 2013, J CLIMATE, V26, P215, DOI 10.1175/JCLI-D-12-00001.1
   Grant PR, 2019, P NATL ACAD SCI USA, V116, P23216, DOI 10.1073/pnas.1913534116
   Griener KW, 2015, REV PALAEOBOT PALYNO, V221, P138, DOI 10.1016/j.revpalbo.2015.06.003
   Grimm E.C., 2011, Tilia Software v.1.7.16
   GRIMM EC, 1987, COMPUT GEOSCI, V13, P13, DOI 10.1016/0098-3004(87)90022-7
   Hampe A, 2011, ANNU REV ECOL EVOL S, V42, P313, DOI 10.1146/annurev-ecolsys-102710-145015
   Hedrick PW, 2013, MOL ECOL, V22, P4606, DOI 10.1111/mec.12415
   HEISER CB, 1954, AM MIDL NAT, V51, P287, DOI 10.2307/2422222
   Heusser CalvinJ., 1971, POLLEN SPORES CHILE
   HEUSSER CJ, 1995, PALAEOGEOGR PALAEOCL, V118, P1, DOI 10.1016/0031-0182(94)00138-X
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   HILL RS, 1991, BOT J LINN SOC, V105, P37, DOI 10.1111/j.1095-8339.1991.tb00199.x
   Hogg AG, 2020, RADIOCARBON, V62, P759, DOI 10.1017/RDC.2020.59
   HUNTLEY B, 1991, ANN BOT-LONDON, V67, P15, DOI 10.1093/oxfordjournals.aob.a088205
   Iglesias V, 2017, HOLOCENE, V27, P1008, DOI 10.1177/0959683616678467
   Ignazi G, 2020, FOREST ECOL MANAG, V458, DOI 10.1016/j.foreco.2019.117796
   Jardine PE, 2017, REV PALAEOBOT PALYNO, V246, P161, DOI 10.1016/j.revpalbo.2017.06.013
   JOWSEY PC, 1966, NEW PHYTOL, V65, P245, DOI 10.1111/j.1469-8137.1966.tb06356.x
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Juri G, 2021, FOREST ECOL MANAG, V497, DOI 10.1016/j.foreco.2021.119466
   Kirkpatrick M, 2001, P ROY SOC B-BIOL SCI, V268, P1259, DOI 10.1098/rspb.2000.1427
   Knight CA., 2010, J BOT, V2010, P1, DOI [10.1155/2010/612017, DOI 10.1155/2010/612017]
   LOWE JJ, 1982, NEW PHYTOL, V90, P371, DOI 10.1111/j.1469-8137.1982.tb03268.x
   LYNCH M, 1993, BIOTIC INTERACTIONS AND GLOBAL CHANGE, P234
   Maheshwari S, 2011, ANNU REV GENET, V45, P331, DOI 10.1146/annurev-genet-110410-132514
   Mallet J, 2005, TRENDS ECOL EVOL, V20, P229, DOI 10.1016/j.tree.2005.02.010
   Mansilla CA, 2018, PALAEOGEOGR PALAEOCL, V508, P59, DOI 10.1016/j.palaeo.2018.07.014
   Markgraf V, 2007, PALAEOGEOGR PALAEOCL, V254, P492, DOI 10.1016/j.palaeo.2007.07.008
   Martin NH, 2006, GENETICS, V172, P2481, DOI 10.1534/genetics.105.053538
   Mathiasen P, 2016, OECOLOGIA, V181, P607, DOI 10.1007/s00442-016-3568-7
   Mathiasen P, 2010, MOL ECOL, V19, P371, DOI 10.1111/j.1365-294X.2009.04456.x
   McCulloch RD, 2000, J QUATERNARY SCI, V15, P409, DOI 10.1002/1099-1417(200005)15:4<409::AID-JQS539>3.0.CO;2-#
   McCulloch RD, 2001, PALAEOGEOGR PALAEOCL, V173, P143, DOI 10.1016/S0031-0182(01)00316-9
   McCulloch RD, 2021, QUATERN INT, V601, P116, DOI 10.1016/j.quaint.2021.07.018
   McCulloch RD, 2020, QUATERNARY SCI REV, V229, DOI 10.1016/j.quascirev.2019.106131
   Moore P.D., 1994, Pollen Analysis
   Moreno PI, 2018, QUATERNARY SCI REV, V198, P15, DOI 10.1016/j.quascirev.2018.08.013
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Petit RJ, 2003, SCIENCE, V300, P1563, DOI 10.1126/science.1083264
   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
   Pisano E., 1977, Anales del Instituto de la Patagonia, V8, P121250
   Polechová J, 2015, P NATL ACAD SCI USA, V112, P6401, DOI 10.1073/pnas.1421515112
   Premoli AC, 1996, GENETICA, V97, P55, DOI 10.1007/BF00132581
   Premoli AC, 2007, AUSTRAL ECOL, V32, P515, DOI 10.1111/j.1442-9993.2007.01720.x
   Premoli AC, 2012, BOSQUE, V33, P115, DOI 10.4067/S0717-92002012000200001
   Premoli AC, 2012, NEW PHYTOL, V193, P261, DOI 10.1111/j.1469-8137.2011.03861.x
   Premoli AC, 2010, PALAEOGEOGR PALAEOCL, V298, P247, DOI 10.1016/j.palaeo.2010.09.030
   QUIROGA PAULA, 2005, Bosque (Valdivia), V26, P25
   Romero E.J., 1986, ACTAS 7 S ARGENTINO, P181
   Sagredo EA, 2011, GEOMORPHOLOGY, V125, P92, DOI 10.1016/j.geomorph.2010.09.007
   Schneider C, 2003, PHYS GEOGR, V24, P97, DOI 10.2747/0272-3646.24.2.97
   Shaw RG, 2012, NEW PHYTOL, V195, P752, DOI 10.1111/j.1469-8137.2012.04230.x
   Soliani C, 2012, TREE GENET GENOMES, V8, P659, DOI 10.1007/s11295-011-0452-9
   Stecconi M, 2004, ANN BOT-LONDON, V94, P775, DOI 10.1093/aob/mch205
   Stern CR, 2016, ANDEAN GEOL, V43, P1, DOI 10.5027/andgeoV43n1-a01
   STOCKMARR J, 1971, Pollen et Spores, V13, P615
   Stolpe N, 2016, CHIL J AGR RES, V76, DOI 10.4067/S0718-58392016000400013
   STUIVER M, 1993, RADIOCARBON, V35, P215, DOI 10.1017/S0033822200013904
   Swenson U, 2000, AUST SYST BOT, V13, P469, DOI 10.1071/SB99010
   TIPPING R, 1987, REV PALAEOBOT PALYNO, V53, P151, DOI 10.1016/0034-6667(87)90011-X
   Tuhkanen Sakari, 1989, Anales del Instituto de la Patagonia Serie Ciencias Naturales, V19, P5
   Tweddle JC, 2010, REV PALAEOBOT PALYNO, V161, P59, DOI 10.1016/j.revpalbo.2010.03.004
   Veblen Thomas T., 1996, P293
   Vento B, 2018, ACTA PALAEONTOL POL, V63, P815, DOI 10.4202/app.00493.2018
   Villagran C., 1980, Vegetationsgeschichtliche und pflanzensoziologische Untersuchungen im Vicente Perez Rosales Nationalpark (Chile)
   Whitlock C., 2001, Tracking environmental change using lake sediments. Volume 3: Terrestrial, algal, and siliceous indicators, P75
   Wingenroth M., 1984, Pollen of the High Andean Flora. Quebrada Benjamin Matienzo, Province of Mendoza Argentina
NR 99
TC 5
Z9 5
U1 3
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0031-0182
EI 1872-616X
J9 PALAEOGEOGR PALAEOCL
JI Paleogeogr. Paleoclimatol. Paleoecol.
PD SEP 1
PY 2022
VL 601
AR 111157
DI 10.1016/j.palaeo.2022.111157
EA JUL 2022
PG 12
WC Geography, Physical; Geosciences, Multidisciplinary; Paleontology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology; Paleontology
GA 3X8YM
UT WOS:000843319900001
DA 2025-01-10
ER

PT J
AU van Maanen, N
   Andrijevic, M
   Lejeune, Q
   Rosa, L
   Lissner, T
   Schleussner, CF
AF van Maanen, Nicole
   Andrijevic, Marina
   Lejeune, Quentin
   Rosa, Lorenzo
   Lissner, Tabea
   Schleussner, Carl-Friedrich
TI Accounting for socioeconomic constraints in sustainable irrigation
   expansion assessments
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE sustainable irrigation; food security; climate change adaptation; shared
   socioeconomic pathways; sustainable development
ID CLIMATE-CHANGE; DEGREES-C; PATHWAYS; POTENTIALS; GOVERNANCE; COUNTRIES;
   IMPACTS; AFRICA
AB Sustainable irrigation expansion over water limited croplands is an important measure to enhance agricultural yields and increase the resilience of crop production to global warming. While existing global assessments of irrigation expansion mainly illustrate the biophysical potential for irrigation, socioeconomic factors such as weak governance or low income, that demonstrably impede the successful implementation of sustainable irrigation, remain largely underexplored. Here we provide five scenarios of sustainable irrigation deployment in the 21st century integrated into the framework of Shared Socioeconomic Pathways, which account for biophysical irrigation limits and socioeconomic constraints. We find that the potential for sustainable irrigation expansion implied by biophysical limits alone is considerably reduced when socioeconomic factors are considered. Even under an optimistic scenario of socio-economic development, we find that additional calories produced via sustainable irrigation by 2100 might reach only half of the maximum biophysical potential. Regions with currently modest socioeconomic development such as Sub-Saharan Africa are found to have the highest potential for improvements. In a scenario of sustainable development, Sub-Saharan Africa would be able to almost double irrigated food production and feed an additional 70 million people compared to 2020, whereas in a scenario where regional rivalry prevails, this potential would be halved. Increasing sustainable irrigation will be key for countries to meet the projected food demands, tackle malnutrition and rural poverty in the context of increasing impacts of anthropogenic climate change on food systems. Our results suggest that improving governance levels for example through enhancing the effectiveness of institutions will constitute an important leverage to increase adaptive capacity in the agricultural sector.
C1 [van Maanen, Nicole; Andrijevic, Marina; Lejeune, Quentin; Lissner, Tabea; Schleussner, Carl-Friedrich] Climate Analyt, Berlin, Germany.
   [van Maanen, Nicole; Andrijevic, Marina; Schleussner, Carl-Friedrich] Humboldt Univ, Geog Dept, Berlin, Germany.
   [van Maanen, Nicole; Andrijevic, Marina; Schleussner, Carl-Friedrich] Humboldt Univ, IRI THESys, Berlin, Germany.
   [Rosa, Lorenzo] Carnegie Inst Sci, Dept Global Ecol, Stanford, CA USA.
C3 Humboldt University of Berlin; Humboldt University of Berlin; Carnegie
   Institution for Science
RP van Maanen, N (corresponding author), Climate Analyt, Berlin, Germany.; van Maanen, N (corresponding author), Humboldt Univ, Geog Dept, Berlin, Germany.; van Maanen, N (corresponding author), Humboldt Univ, IRI THESys, Berlin, Germany.
EM nicole.vanmaanen@climateanalytics.org
RI Rosa, Lorenzo/ABD-7884-2020
OI Rosa, Lorenzo/0000-0002-1280-9945; van Maanen,
   Nicole/0000-0002-2599-0042; Schleussner,
   Carl-Friedrich/0000-0001-8471-848X; Lejeune,
   Quentin/0000-0001-9152-3197; Lissner, Tabea/0000-0001-6637-6084;
   Andrijevic, Marina/0000-0003-0199-1988
FU EU [821124]; German Federal Ministry of Education and Research
   [01LN1711A]
FX The authors N V M and T L acknowledge support from the EU's Horizon 2020
   research and innovation program NAVIGATE under Grant Agreement No.
   821124. Authors M A and C-F S acknowledge funding from the German
   Federal Ministry of Education and Research under Grant Agreement No.
   01LN1711A (EmBARK).
CR Akpoti K, 2021, AGR WATER MANAGE, V247, DOI 10.1016/j.agwat.2021.106758
   Andrijevic M, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19856-w
   Andrijevic M, 2020, NAT SUSTAIN, V3, P35, DOI 10.1038/s41893-019-0405-0
   Anik AR, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9030470
   [Anonymous], FAO 2022 AQUASTAT CO
   [Anonymous], 2012, FOOD AGR ORG
   Beltran-Peña A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9388
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   D'Amour CB, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab832f
   Brown C, 2018, J LAND USE SCI, V13, P269, DOI 10.1080/1747423X.2018.1515995
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   Comin D, 2010, AM ECON REV, V100, P2031, DOI 10.1257/aer.100.5.2031
   Cuaresma JC, 2017, GLOBAL ENVIRON CHANG, V42, P226, DOI 10.1016/j.gloenvcha.2015.02.012
   D'Odorico P, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab05f4
   Dellink R, 2017, GLOBAL ENVIRON CHANG, V42, P200, DOI 10.1016/j.gloenvcha.2015.06.004
   Döll P, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000355
   Droppers B, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abf527
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   Faures J.-M., 2002, The FAO Irrigated Area Forecast for 2030
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foster S, 2018, HYDROGEOL J, V26, P2781, DOI 10.1007/s10040-018-1830-2
   Garschagen M, 2022, GLOBAL ENVIRON CHANG, V73, DOI 10.1016/j.gloenvcha.2021.102450
   Genius M., 2014, AM J AGR ECON, V96, P344, DOI DOI 10.1093/AJAE/AAT054
   Grafton RQ, 2018, SCIENCE, V361, P748, DOI 10.1126/science.aat9314
   Graham NT, 2018, WATER RESOUR RES, V54, P6423, DOI 10.1029/2018WR023452
   Graves A, 2019, NATURE, V575, P282, DOI 10.1038/d41586-019-03445-z
   Higginbottom TP, 2021, NAT SUSTAIN, V4, P501, DOI 10.1038/s41893-020-00670-7
   Holman IP, 2019, REG ENVIRON CHANGE, V19, P711, DOI 10.1007/s10113-018-1328-4
   Hurtt GC, 2020, EARTH SYSTEM GRID FE
   Jägermeyr J, 2015, HYDROL EARTH SYST SC, V19, P3073, DOI 10.5194/hess-19-3073-2015
   Jägermeyr J, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms15900
   Jiang LW, 2017, GLOBAL ENVIRON CHANG, V42, P193, DOI 10.1016/j.gloenvcha.2015.03.008
   Kaufmann D, 2011, HAGUE J RULE LAW, V3, P220, DOI 10.1017/S1876404511200046
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Leimbach M, 2017, GLOBAL ENVIRON CHANG, V42, P215, DOI 10.1016/j.gloenvcha.2015.02.005
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Levidow L, 2014, AGR WATER MANAGE, V146, P84, DOI 10.1016/j.agwat.2014.07.012
   Lobell DB, 2009, ANNU REV ENV RESOUR, V34, P179, DOI 10.1146/annurev.environ.041008.093740
   Lofore N, 2019, WATER ALTERN, V12, P156
   Lybbert TJ, 2012, FOOD POLICY, V37, P114, DOI 10.1016/j.foodpol.2011.11.001
   Mahmud T, 2012, GLOBAL ENVIRON CHANG, V22, P933, DOI 10.1016/j.gloenvcha.2012.07.003
   Mainardi S., 2021, PREFERENCE HETEROGEN, V23, P6869, DOI [10.1007/s10668-020-00897-6, DOI 10.1007/S10668-020-00897-6]
   Marton TA., 2021, Q Open, V1, pqoab009, DOI [DOI 10.1093/QOPEN/QOAB009, 10.1093/qopen/qoab009]
   Mbow C., 2019, Climate Change and Land: An IPCC Special Report
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Nachtergaele F, 2011, ANTICIPATED TRENDS U
   O'Neill BC, 2020, NAT CLIM CHANGE, V10, P1074, DOI 10.1038/s41558-020-00952-0
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Portner H.-O., 2022, IPCC, 2022: Climate Change 2022: Impacts, Adaptation
   Pulido-Bosch A, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7386-6
   Puy A, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087360
   Puy A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-24508-8
   Rosa L, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac7408
   Rosa L, 2020, P NATL ACAD SCI USA, V117, P29526, DOI 10.1073/pnas.2017796117
   Rosa L, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz6031
   Rosa L, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4bfc
   Rosa L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aadeef
   Rost S, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044002
   Samir KC, 2017, GLOBAL ENVIRON CHANG, V42, P181, DOI 10.1016/j.gloenvcha.2014.06.004
   Schleussner CF, 2016, EARTH SYST DYNAM, V7, P327, DOI 10.5194/esd-7-327-2016
   Streimikis J, 2020, SUSTAIN DEV, V28, P1702, DOI 10.1002/sd.2118
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Thiery W, 2017, J GEOPHYS RES-ATMOS, V122, P1403, DOI 10.1002/2016JD025740
   Thomas A, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-021-01808-9
   Tsusaka TW, 2015, J ECON BEHAV ORGAN, V118, P227, DOI 10.1016/j.jebo.2015.04.022
   Valipour M, 2021, CLIMATE, V9, DOI 10.3390/cli9050081
   Wang XH, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21498-5
   ,, 2021, The state of food security and nutrition in the world 2021: transforming food systems for food security, improved nutrition and affordable healthy diets for all, DOI 10.4060/cb4474en
NR 69
TC 13
Z9 13
U1 4
U2 29
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 2022
VL 17
IS 7
AR 075004
DI 10.1088/1748-9326/ac77a5
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 2L2WU
UT WOS:000816881000001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Londe, DW
   Dvorett, D
   Davis, CA
   Loss, SR
   Robertson, EP
AF Londe, David W.
   Dvorett, Daniel
   Davis, Craig A.
   Loss, Scott R.
   Robertson, Ellen P.
TI Inundation of depressional wetlands declines under a changing climate
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change impacts; Depressional wetlands; Drought; Hydrologic
   projections; Migratory bird habitat; Wetland hydrology
ID GREAT-PLAINS; PRAIRIE WETLANDS; PLAYA WETLANDS; HABITAT LOSS;
   EVAPOTRANSPIRATION; CONSERVATION; HYDROPERIOD; DYNAMICS; CARBON;
   PRECIPITATION
AB Wetlands provide many important ecosystem functions and services worldwide and are hotspots of biological diversity. However, depressional wetlands are particularly vulnerable to effects of climate change due to the significant role that precipitation and surface runoff play in shaping their hydrology. In the Southern Great Plains of North America, climate projections predict more extreme storm events, higher temperatures, and severe droughts, which could threaten natural hydrological patterns of depressional wetlands in this region. Regional hydrological models that accurately predict water dynamics are critical for developing effective climate change adaptation strategies. We developed a model to predict wetland inundation status for depressional wetlands in the Pleistocene Sand Dunes Ecoregion of Oklahoma, USA, that evaluated effects of weather variables, wetland characteristics, and landscape-level variables. We then predicted numbers of inundated wetlands and frequency of wetland inundation under three climate change scenarios for the middle and end of the century (2036-2050 and 2084-2099, respectively). Total precipitation measured in the 2 months prior to an inundation event and average daily temperature were the most important variables predicting wetland inundation status, and land use and wetland characteristics explained relatively little variation in water dynamics. Projections of wetland inundation status indicate numbers of inundated wetlands will decrease in spring and summer by as much as 42% and 79%, respectively, by midcentury. Future inundation patterns during fall and winter were less clear but will likely be similar to current, highly variable conditions. These results suggest climate change may threaten persistence of wetlands during key seasonal periods when humans, plants, and wildlife depend on them for crucial resources and services.
C1 [Londe, David W.; Davis, Craig A.; Loss, Scott R.; Robertson, Ellen P.] Oklahoma State Univ, Dept Nat Resources Ecol & Management, 008c Ag Hall, Stillwater, OK 74078 USA.
   [Dvorett, Daniel] Oklahoma Conservat Commiss, 4545 North Lincoln Blvd, Oklahoma City, OK 73105 USA.
C3 Oklahoma State University System; Oklahoma State University - Stillwater
RP Londe, DW (corresponding author), Oklahoma State Univ, Dept Nat Resources Ecol & Management, 008c Ag Hall, Stillwater, OK 74078 USA.
EM david.londe@okstate.edu
RI Loss, Scott/B-1504-2014
OI Robertson, Ellen/0000-0002-1338-4045; Loss, Scott/0000-0002-8753-2995
FU Wetland Program Development Grant (CA) [CD-00F42801, 2]; South Central
   Climate Adaption Center
FX This project was funded through a 2012, 104(b)(3)Wetland Program
   Development Grant (CA#CD-00F42801, Project 2), and the South Central
   Climate Adaption Center.
CR Aharon-Rotman Y, 2016, EMU, V116, P199, DOI 10.1071/MU15029
   Albanese G, 2017, LANDSCAPE ECOL, V32, P115, DOI 10.1007/s10980-016-0436-0
   Albanese G, 2015, CONDOR, V117, P328, DOI 10.1650/CONDOR-14-166.1
   Anda A, 2015, AGR FOREST METEOROL, V205, P60, DOI 10.1016/j.agrformet.2015.02.010
   [Anonymous], 2007, WETLANDS
   [Anonymous], 1993, U.S. Department of Agriculture Handbook
   [Anonymous], 2012, OK LiDAR
   [Anonymous], 2017, R Package
   [Anonymous], 2019, SOIL SURV GEOGR SSUR
   Bartuszevige AM, 2012, WETLANDS, V32, P1103, DOI 10.1007/s13157-012-0340-6
   Battle JM, 2001, AM MIDL NAT, V146, P128, DOI 10.1674/0003-0031(2001)146[0128:HIOBOL]2.0.CO;2
   BOLEN EG, 1989, BIOSCIENCE, V39, P615, DOI 10.2307/1311091
   Brooks RT, 2009, CLIMATIC CHANGE, V95, P469, DOI 10.1007/s10584-008-9531-9
   Bukovsky MS, 2017, J CLIMATE, V30, P8275, DOI 10.1175/JCLI-D-16-0316.1
   Burnham K. P., 2002, Model selection and inference: a practical informationtheoretic approach, VSecond edition
   Burris L, 2013, CLIMATIC CHANGE, V117, P69, DOI 10.1007/s10584-012-0557-7
   Busnardo M.J., 1992, Ecological Engineering, V1, P287
   Cariveau AB, 2011, WETLANDS, V31, P65, DOI 10.1007/s13157-010-0129-4
   Carroll C, 1997, AUST J SOIL RES, V35, P925, DOI 10.1071/S96017
   Clark JS, 2002, ECOLOGY, V83, P595, DOI 10.1890/0012-9658(2002)083[0595:DCALRT]2.0.CO;2
   Collins SD, 2014, J ARID ENVIRON, V109, P6, DOI 10.1016/j.jaridenv.2014.05.006
   Dahl T.E., 1991, WETLANDS STATUS TREN
   Davidson NC, 2014, MAR FRESHWATER RES, V65, P934, DOI 10.1071/MF14173
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Dvorett D, 2016, WETLANDS, V36, P431, DOI 10.1007/s13157-016-0752-9
   Easterling D.R., 2017, PRECIPITATION CHANGE
   Erwin KL, 2009, WETL ECOL MANAG, V17, P71, DOI 10.1007/s11273-008-9119-1
   Euliss NH, 2004, WETLANDS, V24, P448, DOI 10.1672/0277-5212(2004)024[0448:TWCACF]2.0.CO;2
   Fay PA, 2016, ECOSPHERE, V7, DOI 10.1002/ecs2.1504
   Gala T S., 2015, Appl. Ecol. Environ. Sci, V3, P108
   GERLA PJ, 1992, WETLANDS, V12, P91, DOI 10.1007/BF03160590
   Gersib R, 1992, IMPLEMENTATION PLAN
   Guo RX, 2019, GEOPHYS RES LETT, V46, P3426, DOI 10.1029/2018GL081316
   Gurdak JJ, 2010, HYDROGEOL J, V18, P1747, DOI 10.1007/s10040-010-0672-3
   Heitmeyer Mickey E., 1984, Wildfowl, V35, P61
   Homer C, 2015, PHOTOGRAMM ENG REM S, V81, P345, DOI 10.14358/PERS.81.5.345
   HOWARDWILLIAMS C, 1985, FRESHWATER BIOL, V15, P391, DOI 10.1111/j.1365-2427.1985.tb00212.x
   Johnson WC, 2005, BIOSCIENCE, V55, P863, DOI 10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2
   Johnson WP, 2011, WETLANDS, V31, P1287, DOI 10.1007/s13157-011-0243-y
   Junk WJ, 2006, AQUAT SCI, V68, P400, DOI 10.1007/s00027-006-0855-0
   Karim F, 2012, HYDROL PROCESS, V26, P2710, DOI 10.1002/hyp.8364
   Kloesel K., 2018, IMPACTS RISKS ANDADA, VII
   Lal R, 2008, PHILOS T R SOC B, V363, P815, DOI 10.1098/rstb.2007.2185
   LARSON DL, 1995, CLIMATIC CHANGE, V30, P169, DOI 10.1007/BF01091840
   Lepper K, 2005, GEOMORPHOLOGY, V70, P42, DOI 10.1016/j.geomorph.2005.03.010
   Lockaby BG, 1996, SOIL SCI SOC AM J, V60, P1267, DOI 10.2136/sssaj1996.03615995006000040044x
   Magnusson A., 2017, PACKAGE GLMMTMB R PA
   Masson-Delmotte V., 6 ASSESSMENT REPORT
   McIntyre NE, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2711
   McKenna OP, 2018, USGS OPEN-FILE REP, DOI [10.3133/ofr20181165, DOI 10.3133/ofr20181165]
   Mckenna OP, 2021, ECOL APPL, V31, DOI 10.1002/eap.2428
   McKenna OP, 2016, J GEOPHYS RES-BIOGEO, V121, P3019, DOI 10.1002/2016JG003545
   Mitsch WJ, 2013, LANDSCAPE ECOL, V28, P583, DOI 10.1007/s10980-012-9758-8
   Mullens ED, 2019, INT J CLIMATOL, V39, P2659, DOI 10.1002/joc.5979
   Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x
   NOAA, 2015, DAILY PRECIPITATION
   Oklahoma Mesonet, 2015, MES STAT MONTHL SUMM
   OMERNIK JM, 1987, ANN ASSOC AM GEOGR, V77, P118, DOI 10.1111/j.1467-8306.1987.tb00149.x
   Owen RK, 2020, ENVIRON EXP BOT, V175, DOI 10.1016/j.envexpbot.2020.104039
   Parkhurst RS, 1998, WETLANDS, V18, P272, DOI 10.1007/BF03161663
   Pechmann J.H.K., 1989, Wetlands Ecology and Management, V1, P3
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Randers J, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75481-z
   Reese GC, 2017, ECOL EVOL, V7, P1497, DOI 10.1002/ece3.2755
   Snodgrass JW, 2000, CONSERV BIOL, V14, P414, DOI 10.1046/j.1523-1739.2000.99161.x
   Sofaer HR, 2016, ECOL APPL, V26, P1677, DOI 10.1890/15-0750.1
   Souch C, 1998, WETLANDS, V18, P216, DOI 10.1007/BF03161657
   Starr SM, 2020, J ARID ENVIRON, V175, DOI 10.1016/j.jaridenv.2019.104096
   Steen VA, 2016, WETLANDS, V36, pS445, DOI 10.1007/s13157-016-0791-2
   Stocker BD, 2014, GEOSCI MODEL DEV, V7, P3089, DOI 10.5194/gmd-7-3089-2014
   Tarr T. L., 2005, Wetlands Ecology and Management, V13, P321, DOI 10.1007/s11273-004-7525-6
   Tiner RW, 2003, WETLANDS, V23, P636, DOI 10.1672/0277-5212(2003)023[0636:EEOGIW]2.0.CO;2
   Tsai JS, 2007, WETLANDS, V27, P683, DOI 10.1672/0277-5212(2007)27[683:IOLUAW]2.0.CO;2
   Uden DR, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00256.1
   United States Geological Survey, 2015, LANDS SCEN
   Van der Kamp G., 1998, GT PLAINS RES, V8, P39
   van der Valk A, 2016, WETLANDS, V36, pS397, DOI 10.1007/s13157-016-0850-8
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Yan CH, 2020, AGR FOREST METEOROL, V288, DOI 10.1016/j.agrformet.2020.107996
   Zambreski ZT, 2018, J HYDROL, V567, P370, DOI 10.1016/j.jhydrol.2018.10.013
   Zuur Alain F., 2009, P1
NR 81
TC 10
Z9 12
U1 12
U2 96
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 2022
VL 172
IS 3-4
AR 27
DI 10.1007/s10584-022-03386-z
PG 19
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 1X5XA
UT WOS:000807525300001
DA 2025-01-10
ER

PT J
AU Sacande, M
   Muir, G
AF Sacande, Moctar
   Muir, Giulia
TI Restoring Sahelian landscapes with people and plants: insights from
   large-scale interventions
SO RESTORATION ECOLOGY
LA English
DT Article
DE Great Green Wall; native plants; native species; non-timber forest
   products; nutrition; Sahel; traditional knowledge
ID RESTORATION; FOOD; BIODIVERSITY; CRITERIA; ECOLOGY; SEED
AB Combining traditional knowledge on native plant species with scientific plant expertise has been established as a critical factor to improve success of restoration interventions, yet evidence on its incorporation across large scales and in Africa, is scant. Even less known are the effective socio-economic benefits that communities have reaped from restoration activities. This article builds on Sacande and Berrahmouni's paper, further supported by both socio-economic and biophysical data from large-scale restoration activities in Senegal, Niger, and Nigeria in support of Africa's Great Green Wall. In total, over 90,000 village households were involved and 56,000 ha of degraded lands planted in 10 countries across the Sahel to initiate restoration in 5 years. Key findings suggest not only ecological benefits, but improvements in livelihoods and health, critical factors underpinning restoration success in the drylands. Results show the profound role native plants and other non-timber forest products play in the lives and livelihoods of dryland communities. Between 2016 and 2020, 120 tons of seeds were collected from over 110 native plant species and planted in 10 countries, with ecological and economic benefits. Perceived food insecurity significantly decreased in 2020 compared to 2016 observations, declining sharply from 46 to 15% in project sites in Senegal, from 69 to 58% in Niger, and 90 to 25% in Nigeria. In Niger and Senegal, communities generated revenues from fodder species alone of 40 USD/ha per year. The UN decade for Ecosystem restoration 2021-2030 will be an important platform to expand such climate change adaptation and mitigation programs.
C1 [Sacande, Moctar; Muir, Giulia] Food & Agr Org United Nat, Forestry Div, Viale Terme Caracalla, I-00153 Rome, Italy.
C3 Food & Agriculture Organization of the United Nations (FAO)
RP Sacande, M (corresponding author), Food & Agr Org United Nat, Forestry Div, Viale Terme Caracalla, I-00153 Rome, Italy.
EM moctar.sacande@fao.org
FU European Union
FX This work was conducted under Action Against Desertification (AAD), an
   initiative of the Organization of Africa, Caribbean, and Pacific States
   (OACPS), implemented by FAO and funded by the European Union. The
   authors are grateful to the AAD team, including local enumerators, who
   facilitated data collection in the project areas.
CR [Anonymous], 2014, Realizing the promise of neglected and underutilized species: Policy Brief
   Aronson J, 2010, RESTOR ECOL, V18, P143, DOI 10.1111/j.1526-100X.2009.00638.x
   Atkinson RJ, 2021, DIVERSITY-BASEL, V13, DOI 10.3390/d13080367
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Belanger J., 2019, The state of the world's biodiversity for food and agriculture
   Burlingame B, 2009, J FOOD COMPOS ANAL, V22, P361, DOI 10.1016/j.jfca.2009.05.003
   Castillo JA, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13293
   Davies J., 2012, Conserving Dryland Biodiversity
   de Haan C., 2016, CONFRONTING DROUGHT, P77
   DFID, 1999, Sustainable livelihood guidance sheets
   Elfadul EME., 2020, ETFRN NEWS       DEC
   FAO, 2020, DIV REST PLANTS AFR, V33, P1
   FAO, 2018, BIOPH SOC BAS START
   FAO GFT, 2017, ET CHAIN VAL FIL BAL
   FAO KALRO, 2020, ASS FOR LEG SEED MOB
   FAO UCL, 2017, AN MIS PLAC PROGR GR
   Fischer J, 2021, TRENDS ECOL EVOL, V36, P20, DOI 10.1016/j.tree.2020.08.018
   Food and Agricultural Organization (FAO), 2016, ALTERNATIVE METHODOL
   Food and Agriculture Organization of the United Nations (FAO), 2013, Technical paper
   Fungo R, 2016, APPETITE, V97, P176, DOI 10.1016/j.appet.2015.12.005
   Haddad FF., 2021, 22 FAO, DOI 10.4060/cb3803en
   Hanan NP, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.786087
   Jalonen R, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12424
   James JJ, 2013, RANGELAND ECOL MANAG, V66, P115, DOI 10.2111/REM-D-13-00027.1
   Jansen M, 2020, PEOPLE NAT, V2, P1006, DOI 10.1002/pan3.10159
   Marshak A, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18041828
   McMullin S, 2019, FOOD SECUR, V11, P1355, DOI 10.1007/s12571-019-00970-7
   Meli P, 2014, APPL VEG SCI, V17, P744, DOI 10.1111/avsc.12096
   Meng Q, 2020, SEED IND MANAG, V5, P24
   Merritt DJ, 2011, SCIENCE, V332, P424, DOI 10.1126/science.1203083
   Mirzabaev A, 2022, NAT SUSTAIN, V5, P17, DOI 10.1038/s41893-021-00801-8
   Mortimore M., 2009, DRYLAND OPPORTUNITIE
   Nef DP, 2021, FRONT FOR GLOB CHANG, V3, DOI 10.3389/ffgc.2020.615682
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Ruiz-Jaen MC, 2005, RESTOR ECOL, V13, P569, DOI 10.1111/j.1526-100X.2005.00072.x
   Sacande M., 2018, Non-timber Forest Products: from Restoration to Income Generation
   Sacande M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183767
   Sacande M, 2016, RESTOR ECOL, V24, P479, DOI 10.1111/rec.12337
   Safriel U., 2005, Ecosystems and Human Well-being: Current State and Trends, P625
   [Scholes R. Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES)], 2018, Summary for policymakers of the assessment report on land degradation and restoration of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, P44
   Shanley P., 2015, TROPICAL FORESTRY HD
   Stadlmayr B, 2013, J SCI FOOD AGR, V93, P2627, DOI 10.1002/jsfa.6196
   Tang CQ, 2007, MT RES DEV, V27, P242, DOI 10.1659/mrd.0732
   Termote C, 2022, CRIT REV FOOD SCI, V62, P119, DOI 10.1080/10408398.2020.1813072
   Thomas E, 2014, FOREST ECOL MANAG, V333, P66, DOI 10.1016/j.foreco.2014.07.015
   Toledo A, 2006, J FOOD COMPOS ANAL, V19, P477, DOI 10.1016/j.jfca.2006.05.001
   UNEPWCMC, 2007, SPAT AN APPR GLOB DE
   Willett W, 2019, LANCET, V393, P447, DOI 10.1016/S0140-6736(18)31788-4
   Wilson S. J., 2016, World Development Perspectives, V4, P11
   Wortley L, 2013, RESTOR ECOL, V21, P537, DOI 10.1111/rec.12028
   Young H., 2020, Nutrition in Africa's drylands: A conceptual framework for addressing acute malnutrition
NR 51
TC 4
Z9 4
U1 5
U2 25
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 2022
VL 30
IS 8
AR e13656
DI 10.1111/rec.13656
EA MAR 2022
PG 11
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 5Y0TS
UT WOS:000765887700001
DA 2025-01-10
ER

PT J
AU Weaver, S
   Bakhmetyeva, T
   Rinn, DW
AF Weaver, Stewart
   Bakhmetyeva, Tatyana
   Rinn, Daniel Wayne
TI Climate Witness: Oral Environmental History and Community-Based
   Research-A Case Study from Trans-Himalayan India
SO ORAL HISTORY REVIEW
LA English
DT Article
DE adaptation; climate change; community-based participatory research;
   environmental history; India; Ladakh; resilience
AB On August 5, 2010, a violent cloudburst dumped fourteen inches of rain on Ladakh, a mountain desert region in the far north of India accustomed to getting just three inches of rain in a year. Five years later, flooding recurred on a wider scale, destroying buildings, roads, fields, and orchards all over Ladakh and provoking a wide-ranging discussion among locals about the causes of climate catastrophe. In this essay, we attend to those local voices and allow the people of Ladakh to speak for themselves about the causes and consequences of climate change as well as the best forms of climate change adaptation in the trans-Himalayan region. We offer a two-year progress report on our ongoing oral history fieldwork in this unique and ecologically sensitive high desert region. At the same time, we offer some reflections on the discipline of oral history itself and the promise it offers in conjunction with community engagement to the study of climate change. The surprising fact remains that despite much recent and inspiring work at the compelling intersection of oral and environmental history, few oral historians have taken on directly the subject of climate change, and those who have tend to dwell on the specific experience of the American West. Here we join those few oral and environmental historians who are approaching climate change by way of global community engagement. Only by way of such engagement, we argue-only by following the best practices of what has come to be known as community-based participatory research, can oral history fulfill its public mission as we understand it and contribute decisively to the humanistic study of the Anthropocene.
C1 [Weaver, Stewart; Bakhmetyeva, Tatyana; Rinn, Daniel Wayne] Univ Rochester, Hist, Rochester, NY 14627 USA.
   [Bakhmetyeva, Tatyana] Univ Rochester, Susan B Anthony Inst Gender Sexual & Womens Studi, Rochester, NY USA.
C3 University of Rochester; University of Rochester
RP Weaver, S (corresponding author), Univ Rochester, Hist, Rochester, NY 14627 USA.
EM sweaver@ur.rochester.edu; tbakhmet@ur.rochester.edu; rinn.dw@gmail.com
OI Rinn, Daniel/0000-0002-4119-3422
FU University of Rochester; Andrew Carnegie Corporation
FX For their invaluable contributions to the thinking and community-engaged
   research that went into this essay, the authors would like to thank
   Sonam Wangchuk, Geshe Konchok Wangdu, Stanzin Mingur, Nancy Chin,
   Puntsok Namgyal, Namgil Nawang, Kausar Haider, Sophia McCrae, Tsering
   Yangchan, Pegga Mosavi, Rinchen Tamchos, Danielle Gartenberg, Jigmet
   Dolma, Daria ValovaLynch, and all our Ladakhi narrators, translators,
   and interlocutors. We also gratefully acknowledge the support of the
   University of Rochester and the Andrew Carnegie Corporation
CR Angels L.C., 2001, WOMENS STUDIES Q, V29, P99
   [Anonymous], What is public health
   [Anonymous], 1991, Nature's Metropolis: Chicago and the Great West
   [Anonymous], 2019, BUSINESS STANDA 0119
   Ball D.L., 2011, Mathematics teacher noticing: Seeing through teachers' eyes, pxx
   Boyer E.L., 1996, J PUBLIC OUTREACH, V1, P11, DOI DOI 10.2307/3824459
   Bray John., 2005, Ladakhi Histories: Local and Regional Perspectives
   Bubriski A., 2009, HUMAN ARCHITECTURE J, V7, P91
   Burckhardt Jacob, 1958, JUDGEMENTS HIST HIST, P11
   Calhoun C, 2008, GLOB AREA INT ARCH, V6, pXIII
   Carroll TamarW., 2015, MOBILIZING NEW YORK
   Cauvin T, 2019, WHAT IS PUBLIC HISTORY GLOBALLY?: WORKING WITH THE PAST IN THE PRESENT, P145
   Colbeck C.L., 2006, NEW DIRECTIONS I RES, V129, P7, DOI [10.1002/ir.168, DOI 10.1002/IR.168]
   Conard Rebecca, 2002, BENJAMIN SHAMBAUGH I, P10
   Cronon William, 1993, ENV HIST REV, V17, P5
   Cronon William, 1983, CHANGES LAND INDIANS
   Crook John, 1994, HIMALAYAN VILLAGES E
   da Cruz CG, 2018, REV HIGH EDUC, V41, P147, DOI 10.1353/rhe.2018.0000
   Duncan-Andrade J, 2007, INT J QUAL STUD EDUC, V20, P617, DOI 10.1080/09518390701630767
   Frisch MichaelH., 1990, A Shared Authority: Essays on the Craft and Meaning of Oral and Public History
   Furco A, 2010, BRIT J EDUC STUD, V58, P375, DOI 10.1080/00071005.2010.527656
   Gagne K., 2018, CARING GLACIERS LAND
   Huizinga Johan, 1929, CULTUURHISTORISCHE V, P166
   Israel BA, 1998, ANNU REV PUBL HEALTH, V19, P173, DOI 10.1146/annurev.publhealth.19.1.173
   Jina P. S., 1994, TOURISM LADAKH HIMAL
   Jull J, 2017, IMPLEMENT SCI, V12, DOI 10.1186/s13012-017-0696-3
   Kellogg Foundation, 1992, COMM BAS PUBL HLTH I
   Leavy Patricia, 2011, ORAL HIST UNDERSTAND, P9
   Lee DebbieKathryn Newfont., 2017, The Land Speaks: New Voices at the Intersection of Oral and Environmental History
   Ludlow Jeannie, 2010, FACULTY RES CREATIVE, P9
   Melosi Martin V., 2004, PUBLIC HIST ENV, pr9
   Mingle Jonathan., 2015, FIRE ICE SOOT SOLIDA
   Norberg-Hodge Helena., 2009, ANCIENT FUTURES LESS
   Perks Robert., 2016, The Oral History Reader
   Ritchie D.A., 2015, Doing Oral History, V3rd
   Rizvi Janet., 1996, Ladakh: Crossroads of High Asia
   Scarpino Philip, 2017, WHAT DO PUBLIC HIST
   Shakspo NT., 2019, A Cultural History of Ladakh
   Sherratt K., SOCIAL EC CHARACTERI
   Slim Hugo., 1995, Listening for a Change: Oral History and Community Development
   Smith Mitch, 2019, NEW YORK TIMES 0112
   Stanton T.K., 2007, New times demand new scholarship II: Research universities and civic engagement; opportunities and challenges
   Thompson Paul, 2017, The Voice of the Past: Oral History
   Trower Shelley., 2011, Place, Writing and Voice in Oral History
   Yogananthan Vasantha, 2019, NEW YORKER 0513
NR 45
TC 2
Z9 2
U1 2
U2 12
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0094-0798
EI 1533-8592
J9 ORAL HIST REV
JI Oral Hist. Rev.
PD JAN 2
PY 2022
VL 49
IS 1
BP 56
EP 76
DI 10.1080/00940798.2022.2038016
EA MAR 2022
PG 21
WC History
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC History
GA 0K3OP
UT WOS:000763174000001
DA 2025-01-10
ER

PT J
AU Alonso-Fradejas, A
AF Alonso-Fradejas, Alberto
TI The resource property question in climate stewardship and sustainability
   transitions
SO LAND USE POLICY
LA English
DT Article
DE Property regimes; Natural resource property relations; Natural resource
   politics; environmental governance; Climate change adaptation;
   mitigation; Sustainability transitions
AB Natural resources are increasingly lauded as antidotes to the current social and ecological crises. In this context, a global land and natural resource rush for business, development and climate and environmental stewardship purposes has been at work since the mid-2000s. This paper discusses whether, how, and the extent to which the resource rush behind mainstream climate stewardship and sustainability transitions shapes the contemporary resource property question regarding who has the ability and power to harness what natural resources where, how, and for what purpose(s). It explores the drivers, protagonists and implications for research and political advocacy of critical shifts in the object, subject, form, enforcing authority, policy structure, and justification of resource property during neoliberal globalization since the 1970s. An alliance of trailblazing resource rush supporters and accommodators is behind these changes which, when taken altogether, hint at a broader restructuring trend of the resource property question in climate stewardship and sustainability transitions today. Despite its potential to democratize resource access, control and ownership, the restructuring trend so far primarily serves the purposes of big business and conservation non-profits to enhance their social license to operate by means of reducing local resource tenure risks at the grassroots level and reputational risks more generally. While there is a need for further research, the examined changes seem to be transforming the playing field of political advocacy around resource governance in climate stewardship and transitions to sustainability. But the examined restructuring trend is highly contested and contingent on an unstable middle-ground sort of political compromise, the future trajectory of which remains to be seen.
C1 [Alonso-Fradejas, Alberto] Univ Utrecht, Human Geog & Spatial Planning Dept, Fac Geosci, Utrecht, Netherlands.
   [Alonso-Fradejas, Alberto] Vening Meinesz Bldg 6-14,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
C3 Utrecht University
RP Alonso-Fradejas, A (corresponding author), Univ Utrecht, Human Geog & Spatial Planning Dept, Fac Geosci, Utrecht, Netherlands.; Alonso-Fradejas, A (corresponding author), Vening Meinesz Bldg 6-14,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
EM a.alonsofradejas@uu.nl
OI Alonso-Fradejas, Alberto/0000-0002-5906-6608
CR Albright Madeleine K., 2008, MAKING LAW WORK EVER
   Alonso-Fradejas A, 2021, LAT AM PERSPECT, DOI 10.1177/0094582X211004912
   Alonso-Fradejas A, 2021, J RURAL STUD, V81, P127, DOI 10.1016/j.jrurstud.2020.10.001
   Alonso-Fradejas Alberto, 2006, PERSP AGR FAM CAMP G
   Alonso-Fradejas Alberto., 2013, Land and Sovereignty in the Americas. Sons and Daughters of the Earth: Indigenous Communities and Land Grabs in Guatemala
   [Anonymous], 2011, RISING GLOBAL INTERE
   [Anonymous], 2016, REPORT C PARTIES ITS
   [Anonymous], 2015, CHALLENGE DEMOCRATIC
   [Anonymous], 2016, The Ocean Economy in 2030, DOI [DOI 10.1787/9789264251724-EN, 10.1787/9789264251724-en]
   [Anonymous], 2015, Transforming our world: the 2030 agenda for sustainable development
   [Anonymous], 2015, Who Owns the Worlds Land? A global baseline of formally recognized indigenous and community land rights
   [Anonymous], 2019, The Geography of Innovation: Local Hotspots, Global Networks, World Intellectual Property Report 2019
   [Anonymous], 2019, Agroecological and other innovative approaches for sustainable agriculture and food systems that enhance food security and nutrition. A Report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security
   [Anonymous], 2016, MULTISTAKEHOLDER GOV
   [Anonymous], 2013, GLOBAL LAND GRAB PRI
   [Anonymous], 2011, [No title captured]
   Barbesgaard M, 2018, J PEASANT STUD, V45, P130, DOI 10.1080/03066150.2017.1377186
   Benzinga, 2019, FINT TAK ROOT AM FAR
   Bernstein H, 2006, CAN J DEV STUD, V27, P449, DOI 10.1080/02255189.2006.9669166
   Borras S. M., 2012, Discussion Paper
   Borras SM, 2018, THIRD WORLD Q, V39, P1227, DOI 10.1080/01436597.2018.1491301
   Borras SM, 2016, J PEASANT STUD, V43, P93, DOI 10.1080/03066150.2015.1036417
   Borras SM, 2013, GLOBALIZATIONS, V10, P161, DOI 10.1080/14747731.2013.764152
   BP, 2018, BP EN OUTL
   Brent ZW, 2018, THIRD WORLD Q, V39, P1367, DOI 10.1080/01436597.2017.1399058
   Cotula L., 2016, YB INT INVESTMENT LA, P177
   FAO, 2019, SUSTAINABLE BIOECONO
   FarmTogether, 2019, IT WORKS
   FIAN, 2017, POSITION PAPER, P1
   FOLU, 2019, FOLU
   FOLU, 2019, PARTN NETW
   Forest Trends, 2013, BRAZ COSM GIANT BUYS
   Franco JC, 2019, LAND USE POLICY, V84, P192, DOI 10.1016/j.landusepol.2019.03.013
   Hall R, 2017, J PEASANT STUD, V44, P515, DOI 10.1080/03066150.2016.1263187
   Hall R, 2015, J PEASANT STUD, V42, P467, DOI 10.1080/03066150.2015.1036746
   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]
   Howard-Hassmann RE, 2013, J HUM RIGHTS, V12, P180, DOI 10.1080/14754835.2013.784667
   Hunsberger C, 2016, J PEASANT STUD, V43, P225, DOI 10.1080/03066150.2015.1052802
   IG, 2017, VIS AG SEC LAND RIGH
   IG, 2014, TECHN FOLL UP INT C
   IG, 2013, EXP LEV PRIV SECT IN
   Knight Zoe, 2017, SURVEYING CORPORATE
   Locke John., 1947, Two Treatises of Government
   LVC (La Via Campesina), 2014, POS PAP VIA CAMP ENV
   MacPherson C.B., 1978, Property: Mainstream and critical positions, P1
   Mallin MAF, 2019, MAR POLICY, V107, DOI 10.1016/j.marpol.2019.01.010
   Mckeon N, 2017, GLOBALIZATIONS, V14, P379, DOI 10.1080/14747731.2017.1286168
   NCC, 2019, NATURAL CAPITAL
   NCC, 2019, COALITION
   NCC, 2018, COAL ORG
   OECD, 1996, KNOWLEDGE BASED EC, P1
   Oxfam ILC RRI, 2016, COMM GROUND SEC LAND
   PCC, 2019, SPEC REP CLIM CHANG
   Peluso NL, 2011, J PEASANT STUD, V38, P667, DOI 10.1080/03066150.2011.607692
   PepsiCo, 2014, PEPSICO LAND POL
   Reese Adam, 2018, ETHNEWS
   Sachs Jonah, 2015, 2015 WILL BE YEAR BR
   SASD, 2015, ACC PREF USD 3836800, P1
   Shivji I. G., 2017, Agrarian South: Journal of Political Economy, V6, P1, DOI 10.1177/2277976017721318
   Silver JJ., 2018, International Social Science Journal, V68, P241, DOI DOI 10.1111/ISSJ.12156
   Soeters S., 2017, J. Geosci. Environ. Prot, V05, P174, DOI [10.4236/gep.2017.511013, DOI 10.4236/GEP.2017.511013]
   Solidaridad, 2018, NETH SIGNS 1 BIL AGR
   Stevens Caleb., 2014, Securing Rights, Combating Climate Change How Strengthening Community Forest Rights Mitigates Climate Change
   Systems T.M.P., 2012, FIN RISKS INS LAND T
   TCCC, 2013, COC COL CO COMM LAND
   Unilever, 2019, BRANDS PURP
   United Nations, 2018, DECL RIGHTS PEAS OTH
   United Nations Environment Programme (UNEP), 2015, FIN SYST WE NEED AL
   USAID, 2018, INV SURV LAND RIGHTS
   von Benda-Beckmann Franz., 2006, CHANGING PROPERTIES, P1
   WEF, 2019, WORLD EC FOR UN SIGN
   WEF, 2010, EV BUS STRENGTH INT
   WFFP & WFF, 2015, NO BLUE CARB YES FOO
   Wily LA, 2018, LAND-BASEL, V7, DOI 10.3390/land7020068
   World Bank, 2007, World Development Report 2008: Agriculture for Development
   World Bank, 2015, GLOB PARTN OC
   World Bank and UNDESA, 2017, POT BLUE EC INCR LON
   Zoomers A, 2010, J PEASANT STUD, V37, P429, DOI 10.1080/03066151003595325
   Zoomers EB, 2017, GEOFORUM, V83, P164, DOI 10.1016/j.geoforum.2017.01.009
   Zweynert Astrid, 2018, TECHNOLOGY HOLDS PRO
NR 80
TC 12
Z9 12
U1 0
U2 8
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 SEP
PY 2021
VL 108
AR 105529
DI 10.1016/j.landusepol.2021.105529
PG 10
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UF2XI
UT WOS:000688441300012
OA hybrid
DA 2025-01-10
ER

PT J
AU Lam, Y
   Winch, PJ
   Nizame, FA
   Broaddus-Shea, ET
   Harun, MGD
   Surkan, PJ
AF Lam, Yukyan
   Winch, Peter J.
   Nizame, Fosiul Alam
   Broaddus-Shea, Elena T.
   Harun, Md. Golam Dostogir
   Surkan, Pamela J.
TI Salinity and food security in southwest coastal Bangladesh: impacts on
   household food production and strategies for adaptation
SO FOOD SECURITY
LA English
DT Article
DE Salinity; Saltwater intrusion; Food security; Climate change; Climate
   change adaptation; Bangladesh
ID CLIMATE-CHANGE; GROUNDWATER QUALITY; LIVELIHOOD CHOICES; WATER
   MANAGEMENT; SHRIMP; INTRUSION; FARMERS; SYSTEMS; ZONE; IRRIGATION
AB The rising salinity of land and water is an important, but understudied, climate change-sensitive trend that can exert devastating impacts on food security. This mixed methods investigation combines salinity testing with qualitative research methods to explore these impacts in one of the most salinity-affected regions in the world-the Ganges River Delta. Data collection in 2015 and 2016 undertaken in Bangladesh's southwest coastal region and Dhaka consisted of 83 in-depth household and stakeholder interviews, six community focus groups, and salinity testing of 27 soil and 45 surface and groundwater samples. Results show that household food production is a multifaceted cornerstone of rural livelihood in the southwest coastal region, and virtually every component of it-from rice plantation and homestead gardening to livestock cultivation and aquaculture-is being negatively affected by salinity. Although households have attempted multiple strategies for adapting food production, effective adaptation remains elusive. At the community level, improved irrigation and floodplain management, as well as restrictions on saltwater aquaculture to abate salinity, are viewed as promising interventions. However, the potential of such measures remains unrealized on a broad scale, as they require a level of external resources and regulation not yet provided by the NGO and government sectors. This study elucidates issues of accessibility, equity, and governance surrounding agricultural interventions for climate change-related salinity adaptation, and its findings can help inform the community of organizations that will increasingly need to grapple with salinity in order to guarantee food security in the context of environmental change.
C1 [Lam, Yukyan; Winch, Peter J.; Surkan, Pamela J.] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD 21205 USA.
   [Nizame, Fosiul Alam; Harun, Md. Golam Dostogir] Int Ctr Diarrhoeal Dis Res, Dhaka, Bangladesh.
   [Broaddus-Shea, Elena T.] Univ Colorado, Dept Family Med, Anschutz Med Campus, Aurora, CO USA.
C3 Johns Hopkins University; Johns Hopkins Bloomberg School of Public
   Health; International Centre for Diarrhoeal Disease Research (ICDDR);
   University of Colorado System; University of Colorado Anschutz Medical
   Campus
RP Lam, Y (corresponding author), Johns Hopkins Bloomberg Sch Publ Hlth, Dept Int Hlth, Baltimore, MD 21205 USA.
EM ylam.pub@gmail.com; pwinch@jhu.edu; fosiul@icddrb.org;
   ELENA.BROADDUS@cuanschutz.edu; dostogirharun@icddrb.org; psurkan@jhu.edu
OI Broaddus-Shea, Elena/0000-0003-4544-3529
FU Johns Hopkins Center for a Livable Future-Lerner Fellowship; Johns
   Hopkins Environment, Energy, Sustainability & Health Institute; Johns
   Hopkins Center for Qualitative Studies in Health and Medicine
FX This work was supported by the Johns Hopkins Center for a Livable
   Future-Lerner Fellowship, the Johns Hopkins Environment, Energy,
   Sustainability & Health Institute, and the Johns Hopkins Center for
   Qualitative Studies in Health and Medicine.
CR Abedin M A., 2013, Climate Change Adaptation Actions in Bangladesh, P207, DOI DOI 10.1007/978-4-431-54249-0_12
   Alam M., 2013, Climate change action in Bangladesh, P253
   Ali AMS, 2006, LAND USE POLICY, V23, P421, DOI 10.1016/j.landusepol.2005.02.001
   Anik AR, 2018, J INT DEV, V30, P1414, DOI 10.1002/jid.3364
   [Anonymous], 2019, IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, P321, DOI [10.1017/9781009157964.006, DOI 10.1017/9781009157964.006]
   [Anonymous], 2020, COUNTR NUTR PROF BAN
   [Anonymous], 2014, J ENG-NY, DOI [DOI 10.9790/3021-04170713, 10.9790/3021-04170713]
   Arbol I.P., 1988, Salt-Affected Soils and Their Management
   Ayers R. S., 1985, FAO Irrigation and Drainage Paper
   Bangladesh Bureau of Statistics, 2019, PREL REP AGR CENS 20
   Bangladesh Ministry of Environment and Forests, 2015, INT NAT DET CONTR I
   Belton B, 2016, J RURAL STUD, V45, P230, DOI 10.1016/j.jrurstud.2016.03.014
   Bernier Q, 2016, J RURAL STUD, V45, P134, DOI 10.1016/j.jrurstud.2015.12.017
   Braun M., 2012, PARTICIPATORY ACTION
   CARE, 2006, RED VULN CLIM CHANG
   Climate Change Cell, 2009, AD CROP AGR INCL INN
   Cramer W, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P979
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   Das S, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0211062
   Dewan C, 2022, ETHNOS, V87, P538, DOI 10.1080/00141844.2020.1788109
   Dewan C, 2015, WATER INT, V40, P401, DOI 10.1080/02508060.2015.1025196
   Ericson JP, 2006, GLOBAL PLANET CHANGE, V50, P63, DOI 10.1016/j.gloplacha.2005.07.004
   Faruque G, 2017, INT J AGR SUSTAIN, V15, P185, DOI 10.1080/14735903.2016.1193424
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fiorella KJ, 2016, GLOB FOOD SECUR-AGR, V8, P39, DOI 10.1016/j.gfs.2016.03.003
   Food and Agriculture Organization of the United Nations, 2009, SIT ASS REO SW COAST
   Gain A.K., 2007, Nepal Agr. Res. J, V8, P35, DOI DOI 10.3126/NARJ.V8I0.11576
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Haque SA, 2006, PAK J BOT, V38, P1359
   Hasan MK, 2018, FOOD SECUR, V10, P1073, DOI 10.1007/s12571-018-0824-1
   Hasan MB, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104710
   Ishrat, 2013, SITUATION ANAL NUTR
   Islam A. F. M. T., 2011, P INT C ENV ASP BANG, P112
   Islam MA, 2019, ENVIRON MANAGE, V64, P640, DOI 10.1007/s00267-019-01220-4
   Islam MA, 2019, CLIM DEV, V11, P459, DOI 10.1080/17565529.2018.1442807
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   JODDER R., 2016, Research in Agriculture Livestock and Fisheries, V3, P369, DOI DOI 10.3329/RALF.V3I3.30727
   Johnson FA, 2016, SUSTAIN SCI, V11, P423, DOI 10.1007/s11625-016-0356-6
   Kabir R, 2016, J ENVIRON PUBLIC HEA, V2016, DOI 10.1155/2016/9654753
   Lam Y., 2018, J GLOB HEALTH REP, V8, P2018007, DOI 10.29392/joghr.2.e2018007
   Lázár AN, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01681-y
   Miah M. Y., 2004, Pakistan Journal of Biological Sciences, V7, P1322, DOI 10.3923/pjbs.2004.1322.1326
   Mutahara M, 2020, INT J SUST DEV WORLD, V27, P611, DOI 10.1080/13504509.2020.1722278
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Nandy P., 2013, Climate Change Adaptation Actions in Bangladesh, P277
   National Institute of Population Research and Training (NIPORT) a.I.D. Bangladesh and Rockville Maryland USA: NIPORT and ICF, 2020, BANGL DEM HLTH SURV
   New South Wales Agriculture, 2000, SAL NOT 8 TEXT SOILS
   New South Wales Agriculture, SAL NOT 4 DO I TEST
   Nishat A., 2013, Climate change adaptation actions in Bangladesh, P43, DOI DOI 10.1007/978-4-431-54249-0_3
   Paprocki K, 2018, ANN AM ASSOC GEOGR, V108, P955, DOI 10.1080/24694452.2017.1406330
   Paprocki K, 2014, J PEASANT STUD, V41, P1109, DOI 10.1080/03066150.2014.937709
   Paul BG, 2011, OCEAN COAST MANAGE, V54, P201, DOI 10.1016/j.ocecoaman.2010.12.001
   Pukinskis I., 2015, POLDER PROMISE UNLEA
   Rabbani G, 2013, INT J GLOBAL WARM, V5, P400, DOI 10.1504/IJGW.2013.057284
   Rahman I. M. M., 2007, Journal of Applied Sciences and Environmental Management, V11, P105
   Rahman M. A. T. M. T., 2012, Songklanakarin Journal of Science and Technology, V34, P345
   Rahman MH, 2011, OCEAN COAST MANAGE, V54, P455, DOI 10.1016/j.ocecoaman.2011.03.003
   Rahman MH, 2011, RENEW AGR FOOD SYST, V26, P230, DOI 10.1017/S1742170511000020
   Rahman M.M., 2013, UNIVERSAL J PUBLIC H, V1, P131, DOI [DOI 10.13189/UJPH.2013.010313, 10.13189/ujph.2013.010313]
   Rahman M. M., 2013, CLIMATE CHANGE ADAPT, P305, DOI DOI 10.1007/978-4-431-54249-0_16
   Rahman M. Wakilur, 2009, Journal of Water Resource and Protection, V1, P216, DOI 10.4236/jwarp.2009.13027
   Rahman MR, 2014, J LAND USE SCI, V9, P195, DOI 10.1080/1747423X.2013.786147
   Rahman MM, 2000, ENVIRON GEOL, V40, P31, DOI 10.1007/s002540000152
   Salehin M., 2018, Ecosystem Services for Well-Being in Deltas, P333
   Sarker MAR, 2013, INT J CLIM CHANG STR, V5, P382, DOI 10.1108/IJCCSM-06-2012-0033
   Sarwar MGM., 2013, CLIMATE CHANGE ADAPT, P121
   Shahid Shamsuddin., 2006, Journal of Hydrology and Hydromechanics, V54, P3
   Shammi M, 2016, POLLUTION, V2, P183, DOI 10.7508/pj.2016.02.007
   Sohel MSI, 2012, OCEAN COAST MANAGE, V63, P67, DOI 10.1016/j.ocecoaman.2012.03.014
   Soil Resources Development Institute, 2010, SAL SOILS BANGL
   Sovacool BK, 2018, WORLD DEV, V102, P183, DOI 10.1016/j.worlddev.2017.10.014
   Subba Rao N, 2006, ENVIRON GEOL, V49, P413, DOI 10.1007/s00254-005-0089-9
   Szabo S, 2016, SUSTAIN SCI, V11, P411, DOI 10.1007/s11625-015-0337-1
   The World Bank & US Geological Survey, 2010, IMPLICATIONS CLIMATE
   US Environmental Protection Agency, 2016, CLIMATE ADAPTATION S
   Werner AD, 2013, ADV WATER RESOUR, V51, P3, DOI 10.1016/j.advwatres.2012.03.004
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   WorldFish, 2014, FARMS FUT CLIM SMART
   Zahid A., 2006, H039306 IWMI
NR 79
TC 26
Z9 28
U1 1
U2 18
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1876-4517
EI 1876-4525
J9 FOOD SECUR
JI Food Secur.
PD FEB
PY 2022
VL 14
IS 1
BP 229
EP 248
DI 10.1007/s12571-021-01177-5
EA JUL 2021
PG 20
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Food Science & Technology
GA ZD6VJ
UT WOS:000679267700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ma, F
   Yuan, X
AF Ma, Feng
   Yuan, Xing
TI Impact of climate and population changes on the increasing exposure to
   summertime compound hot extremes
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Compound hot extremes; Population exposure; Climate change; Population
   change; Risk
ID HEAT WAVES; MEAN TEMPERATURE; RISK; CHINA; EVENTS; MORTALITY; DROUGHT;
   TRENDS
AB Attributing the changes in the population exposure to global compound hot extremes, which combine daytime-nighttime hot extremes with more severe impacts, is essential for climate change adaptation. Based on daily temperature data from the Coupled Model Intercomparison Project phase 6 (CMIP6) and population data, we estimate the changes in population exposure for two future periods under three scenarios of emission and socio-economic development at global and continental scales, and assess the contributions from climate and population changes. We find that the spatial patterns of exposure to compound hot extremes are similar for different periods and scenarios, and regions with high exposure are mainly located over East Asia, South Asia, Europe, and parts of eastern USA and Africa. The exposure shows an increase from baseline (1980-2014) to mid- and late 21st century periods (2021-2055 and 2056-2090) in most regions worldwide. Under the business-as-usual scenario (SSP2-4.5), the global exposure increases by similar to 19-fold during the late 21st century, and Africa shows the largest increase while Europe shows the smallest. Early (SSP1-2.6) and no (SSP5-8.5) actions of mitigation would relieve and aggravate the increase rate, respectively. For about 78%-87% of the global land areas, the changes in exposure are mainly caused by climate change (accounting for >69%), followed by the interaction effect (accounting for similar to 29%) that refers to synergistic changes in climate and population. In parts of mid- to high-latitude regions, the exposure is smaller than expected due to opposite effects of climate change and population change. (C) 2021 Elsevier B.V. All rights reserved.
C1 [Ma, Feng; Yuan, Xing] Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing 210044, Jiangsu, Peoples R China.
C3 Nanjing University of Information Science & Technology
RP Yuan, X (corresponding author), Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing 210044, Jiangsu, Peoples R China.
EM xyuan@nuist.edu.cn
RI Ma, Feng/KPY-3359-2024; Yuan, Xing/G-8392-2011
OI Yuan, Xing/0000-0001-6983-7368; Ma, Feng/0009-0004-5289-8075
FU National Natural Science Foundation of China [41875105]; National Key
   Research and Development Program of China [2018YFA0606002]; Startup
   Foundation for Introducing Talent of NUIST
FX The work was supported by National Natural Science Foundation of China
   [41875105], National Key Research and Development Program of China
   [2018YFA0606002], and the Startup Foundation for Introducing Talent of
   NUIST. We also thank the team of Prof. Tong Jiang (yjwang78@163.com)
   from NUIST for providing SSP-based population projections.
CR Åström DO, 2013, NAT CLIM CHANGE, V3, P1050, DOI [10.1038/nclimate2022, 10.1038/NCLIMATE2022]
   Birkmann J, 2015, CLIMATIC CHANGE, V133, P53, DOI 10.1007/s10584-013-0913-2
   Chen HP, 2020, ATMOS OCEAN SCI LETT, V13, P63, DOI 10.1080/16742834.2020.1697168
   Chen MY, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD009132
   Chen Y, 2017, GEOPHYS RES LETT, V44, P5096, DOI 10.1002/2016GL072281
   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
   Easterling DR, 2000, B AM METEOROL SOC, V81, P417, DOI 10.1175/1520-0477(2000)081<0417:OVATIE>2.3.CO;2
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Gosling SN, 2009, CLIMATIC CHANGE, V92, P299, DOI [10.1007/s10584-008-9441-x, 10.1007/S10584-008-9441-X]
   Griffiths GM, 2005, INT J CLIMATOL, V25, P1301, DOI 10.1002/joc.1194
   Guillaume R, 2019, GLOBAL PLANET CHANGE, V172, P45, DOI [10.1016/j.gloplacha.2018.09.013, DOI 10.1016/J.GLOPLACHA.2018.09.013]
   Hao ZC, 2018, WATER-SUI, V10, DOI 10.3390/w10060718
   Jiao Y, 2019, HYDROL EARTH SYST SC, V23, P621, DOI 10.5194/hess-23-621-2019
   Jing C., 2019, J CLIM CHANG RES, V29, P21
   Jones B, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/8/084003
   Jones B, 2018, CLIMATIC CHANGE, V146, P423, DOI 10.1007/s10584-017-2133-7
   Jones B, 2015, NAT CLIM CHANGE, V5, P652, DOI [10.1038/nclimate2631, 10.1038/NCLIMATE2631]
   Li HB, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012882
   Li YL, 2021, INFECT DIS-NOR, V53, P69, DOI 10.1080/23744235.2020.1810308
   Liao XL, 2019, SCI TOTAL ENVIRON, V663, P644, DOI 10.1016/j.scitotenv.2019.01.290
   Liu Z, 2017, SCI REP-UK, V7, DOI 10.1038/srep43909
   Ma F, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087809
   Marsha A, 2018, CLIMATIC CHANGE, V146, P471, DOI 10.1007/s10584-016-1775-1
   Meehl GA, 2000, B AM METEOROL SOC, V81, P413, DOI 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2
   Miao CY, 2016, B AM METEOROL SOC, V97, pS97, DOI 10.1175/BAMS-D-16-0142.1
   Mishra V, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa9388
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Murakami D., 2016, ARXIV161009041
   Nairn JR, 2015, INT J ENV RES PUB HE, V12, P227, DOI 10.3390/ijerph120100227
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Otto FEL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050422
   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
   Perkins SE, 2014, B AM METEOROL SOC, V95, pS34
   Purich A, 2014, J CLIMATE, V27, P7807, DOI 10.1175/JCLI-D-14-00098.1
   Robine JM, 2008, CR BIOL, V331, P171, DOI 10.1016/j.crvi.2007.12.001
   Rohat G, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133941
   Rohat G, 2019, EARTHS FUTURE, V7, P528, DOI 10.1029/2018EF001020
   Rohat G, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15030554
   Rohini P, 2019, CLIM DYNAM, V53, P975, DOI 10.1007/s00382-019-04700-9
   Russo S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-018-08070-4
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Sun QH, 2017, GEOPHYS RES LETT, V44, P5078, DOI 10.1002/2017GL073531
   Sun Y, 2014, NAT CLIM CHANGE, V4, P1082, DOI 10.1038/NCLIMATE2410
   Vaidyanathan A, 2016, B AM METEOROL SOC, V97, P1817, DOI 10.1175/BAMS-D-15-00181.1
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Wang J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-019-14233-8
   Wang PY, 2019, CLIM DYNAM, V53, P957, DOI 10.1007/s00382-019-04621-7
   Wang SS, 2019, B AM METEOROL SOC, V100, pS85, DOI 10.1175/BAMS-D-18-0120.1
   Wang YJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11283-w
   Wernberg T, 2013, NAT CLIM CHANGE, V3, P78, DOI [10.1038/nclimate1627, 10.1038/NCLIMATE1627]
   Yuan X, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12692-7
NR 55
TC 40
Z9 42
U1 7
U2 98
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 JUN 10
PY 2021
VL 772
AR 145004
DI 10.1016/j.scitotenv.2021.145004
EA FEB 2021
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA QW6JO
UT WOS:000628753700035
PM 33770855
DA 2025-01-10
ER

PT J
AU Hussey, LK
   Arku, G
AF Hussey, Lucia Kafui
   Arku, Godwin
TI Conceptualizations of climate-related health risks among health experts
   and the public in Ghana
SO SOCIAL SCIENCE & MEDICINE
LA English
DT Article
DE Ghana; Climate change; Climate change knowledge; Climate-induced health
   problems; Health risk perception; Public health
ID KNOWLEDGE; PERCEPTIONS; AMERICAN; INFORMATION; UNDERSTAND; ATTITUDES;
   EFFICACY; IF
AB One major area that has gathered public attention in relation to climate change is health risks. Studies into risk perceptions have acknowledged differences between public and expert knowledge. What is less known is how perceptions of climate change related health risk vary between the public and health experts and how these differentiated perceptions are shaped and modified by everyday complex climate change narratives from multiple actors, and contextual ecologies of social and physical spaces. A concurrent mixed-methods approach was used to elucidate climate change knowledge and awareness of climate-related health risks among health experts and the public. Qualitative and quantitative data were collected on community members (n = 927) and health experts (n = 99) in Savelugu-Nanton and Ada East Districts in Ghana. The results showed that both groups were likely to report climate change-related health concerns, of which disease was the top concern. However, differences exist in public and experts' perceptions of climate change health linkage. Community members were less likely to link climate change to health risks compared with health experts (OR = 0.02, p <= 0.000). The contrasting climate change health risk perceptions between health experts and the public adds to the literature on the health dimensions of global environmental change. The findings from this study highlight limited knowledge about climate change health related risks among the public. Hence, in building sustainable communities in light of persistent climate change impacts, it is crucial to improve climate change adaptation by implementing climate change sensitization programs. In addition, health infrastructure, decision-making and management should be strengthened for effective response to emerging climate-health risks in Ghana and similar contexts.
C1 [Hussey, Lucia Kafui; Arku, Godwin] Western Univ, Dept Geog, London, ON N6A 5C2, Canada.
C3 Western University (University of Western Ontario)
RP Hussey, LK (corresponding author), Western Univ, Dept Geog, London, ON N6A 5C2, Canada.
EM lhussey3@uwo.ca
OI Arku, Godwin/0000-0001-7720-1554
FU 2016 Association of American Geographers Dissertation Research Grant;
   Queen Elizabeth II Diamond Jubilee Scholarship; Faculty of Social
   Science Graduate Research Awards Funds - Western University; University
   of Western Ontario's Faculty Directed Research Fund
FX We thank the health institutions for access and study participants for
   their valuable inputs into this research. The fieldwork aspect for this
   study was generously funded by the 2016 Association of American
   Geographers Dissertation Research Grant; The Queen Elizabeth II Diamond
   Jubilee Scholarship and the Faculty of Social Science Graduate Research
   Awards Funds- Western University. Funding from the University of Western
   Ontario's Faculty Directed Research Fund is also greatly appreciated. We
   also thank Hanson Nyantakyi-Frimpong for his thoughtful comments on an
   earlier draft of the paper. Finally, we are grateful to the anonymous
   reviewers whose critical and detailed comments helped to sharpen the
   quality of the paper.
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Akerlof K, 2010, INT J ENV RES PUB HE, V7, P2559, DOI 10.3390/ijerph7062559
   [Anonymous], GHAN DEM HLTH SURV 2
   [Anonymous], WORLD HLTH DAY PROT
   [Anonymous], PUBL UNDERSTAND SCI
   [Anonymous], AD VULN B
   [Anonymous], J ENV SOC SCI
   [Anonymous], Protecting health from climate change: Global research priorities
   [Anonymous], CLIMATE CHANGE MALAR
   [Anonymous], 1991, MAL POP HOUS CENS 19
   [Anonymous], GHAN 2 NAT COMM GSNC
   Appiah DO, 2018, COGENT FOOD AGR, V4, DOI 10.1080/23311932.2018.1436211
   Asad H, 2018, REV ENVIRON HEALTH, V33, P31, DOI 10.1515/reveh-2017-0042
   Bord RJ, 2000, PUBLIC UNDERST SCI, V9, P205, DOI 10.1088/0963-6625/9/3/301
   Bryman A., 2016, Qualitative Research, V6, P97, DOI [DOI 10.1177/1468794106058877, 10.1177/1468794106058877]
   Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321
   Cardwell FS, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-208
   Codjoe SNA, 2016, CLIM DEV, V8, P58, DOI 10.1080/17565529.2014.998603
   Codjoe SNA, 2014, INT J ENV RES PUB HE, V11, P6923, DOI 10.3390/ijerph110706923
   Collins J, 2017, QUAL HEALTH RES, V27, P677, DOI 10.1177/1049732315625195
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Curtis SE, 2012, PROG HUM GEOG, V36, P654, DOI 10.1177/0309132511423350
   Dana G.P. T., 2015, Open Journal of Social Sciences, V3, P71, DOI [10.4236/jss.2015.312008, DOI 10.4236/JSS.2015.312008]
   DECASAS SIC, 1995, SOC SCI MED, V40, P1437, DOI 10.1016/0277-9536(95)00040-E
   Ermert V, 2012, ENVIRON HEALTH PERSP, V120, P77, DOI 10.1289/ehp.1103681
   Ghana Statistical Service, 2014, GHAN STAT SERV POP H
   Haines A, 2012, SOC SCI MED, V74, P680, DOI 10.1016/j.socscimed.2011.12.008
   Hansen J, 2003, APPETITE, V41, P111, DOI 10.1016/S0195-6663(03)00079-5
   Hartter J, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032408
   Hathaway J., 2018, Curr Environ Health Rep., P1
   Helgeson J, 2012, LEARNING FOR SUSTAINABILITY IN TIMES OF ACCELERATING CHANGE, P329
   Jackson P, 2015, PROG HUM GEOG, V39, P47, DOI 10.1177/0309132513518832
   Kabir MI, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2930-3
   Kahlor L, 2006, SCI COMMUN, V28, P163, DOI 10.1177/1075547006293916
   Kahlor L, 2009, SCI COMMUN, V30, P380, DOI 10.1177/1075547008328798
   Kellstedt PM, 2008, RISK ANAL, V28, P113, DOI 10.1111/j.1539-6924.2008.01010.x
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Luginaah I, 2010, INT J ENV RES PUB HE, V7, P528, DOI 10.3390/ijerph7020528
   Maibach EW, 2015, ANN GLOB HEALTH, V81, P396, DOI 10.1016/j.aogh.2015.08.010
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   Miles M. B., 2014, Qualitative Data Analysis: A Methods Sourcebook, V4th
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Olaris K., 2008, Environmental Health, V8, P28
   Onwuegbuzie AJ, 2007, QUAL REP, V12, P281
   Paterson JA, 2012, BMC PUBLIC HEALTH, V12, DOI 10.1186/1471-2458-12-452
   Pol L.G., 2013, The Demography of health and healthcare, P65
   READ D, 1994, RISK ANAL, V14, P971, DOI 10.1111/j.1539-6924.1994.tb00066.x
   Roser-Renouf C, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0151558
   Salehi S, 2016, INT RES GEOGR ENVIRO, V25, P226, DOI 10.1080/10382046.2016.1155322
   Shi J, 2016, NAT CLIM CHANGE, V6, P759, DOI [10.1038/NCLIMATE2997, 10.1038/nclimate2997]
   Stanturf J.A., 2011, Ghana Climate Change Vulnerability and Adaptation Assessment
   Sundblad EL, 2007, J ENVIRON PSYCHOL, V27, P97, DOI 10.1016/j.jenvp.2007.01.003
   Sundblad EL, 2009, ENVIRON BEHAV, V41, P281, DOI 10.1177/0013916508314998
   van der Linden S., 2017, Oxford Research Encyclopedia of Climate Science, DOI [DOI 10.1093/ACREFORE/9780190228620.013, 10.1093/acrefore/9780190228620.013.318, DOI 10.1093/ACREFORE/9780190228620.013.318]
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   Vignola R, 2013, MITIG ADAPT STRAT GL, V18, P303, DOI 10.1007/s11027-012-9364-8
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Weber EU, 2011, AM PSYCHOL, V66, P315, DOI 10.1037/a0023253
   WHO, 2016, CLIM HLTH COUNTR PRO
   Wilson KM, 2000, PUBLIC UNDERST SCI, V9, P1, DOI 10.1088/0963-6625/9/1/301
   Wolf J, 2011, WIRES CLIM CHANGE, V2, P547, DOI 10.1002/wcc.120
   World Health Organization, 2014, QUANT RISK ASS EFF C
   Xiao J, 2016, Int J Nurs Sci, V3, P158, DOI 10.1016/j.ijnss.2016.04.002
   Yu H, 2013, NAT HAZARDS, V69, P459, DOI 10.1007/s11069-013-0711-1
NR 67
TC 13
Z9 13
U1 5
U2 34
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0277-9536
EI 1873-5347
J9 SOC SCI MED
JI Soc. Sci. Med.
PD FEB
PY 2019
VL 223
BP 40
EP 50
DI 10.1016/j.socscimed.2019.01.026
PG 11
WC Public, Environmental & Occupational Health; Social Sciences, Biomedical
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Biomedical Social Sciences
GA HO2BD
UT WOS:000460715500006
PM 30708170
DA 2025-01-10
ER

PT S
AU Joffre, OM
   Schmitt, K
AF Joffre, Olivier M.
   Schmitt, Klaus
BE Stewart, MA
   Coclanis, PA
TI A Brief History of Mangrove Distribution and Coastline Development in
   Soc Trang Province, Vietnam, to Address Coastal Management Strategies
SO WATER AND POWER: ENVIRONMENTAL GOVERNANCE AND STRATEGIES FOR
   SUSTAINABILITY IN THE LOWER MEKONG BASIN
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Mangrove; Land cover change; Shrimp farming; Vietnam; Mekong Delta;
   Coastal erosion; Mangrove rehabilitation; Coastline change
ID IMPACTS; LIVELIHOODS; AQUACULTURE; SEDIMENT; TSUNAMI
AB Coastlines and their mangrove forests change over time under the influence of human and natural drivers. To design appropriate mangrove reforestation interventions, we use the Vietnamese province of Soc Trang, at the Bassac River mouth, as a case study to understand coastal zone changes. Our research, covering 1904-2007, is based on historical material from the French colonial period (topographic maps, reports), satellite images, and onsite interviews with key informants.
   Since 1904, the coastline and mangrove forests have changed significantly, including a sequence of deforestation and reforestation in some areas, changes in tree species composition, transformation of the coastline landscape from sand dunes to mangrove forests, and large-scale accretion at the river mouth. The natural processes of accretion and erosion have changed over time for the same area in Vin Chau District, thus influencing mangrove cover and reforestation programs. Damage to the mangrove forest during the Vietnam War due to defoliants was localised to specific areas along the coastline, and damaged trees were later cut for local use. Deforestation for fuelwood, expansion of farming areas, access rights, and usage of the mud flats during the French colonial period, followed by reforestation that modified the original species composition, are the main drivers of coastline changes.
   These drivers influence the coastline and mangrove cover dynamics in different ways. The knowledge of historical processes and coastal dynamics is important in developing climate change adaptation strategies, which combine such site-specific measures as effective mangrove protection and management, mangrove rehabilitation, and engineering measures.
C1 [Joffre, Olivier M.] WorldFish, Mekong Reg Off, Phnom Penh, Cambodia.
   [Joffre, Olivier M.] Wageningen Univ, Knowledge Technol & Innovat Grp, Wageningen, Netherlands.
   [Schmitt, Klaus] Deutsch Gesell Int Zusammenarbeit GIZ GmbH, Manila, Philippines.
C3 CGIAR; Worldfish; Wageningen University & Research
RP Joffre, OM (corresponding author), WorldFish, Mekong Reg Off, Phnom Penh, Cambodia.; Joffre, OM (corresponding author), Wageningen Univ, Knowledge Technol & Innovat Grp, Wageningen, Netherlands.
EM o.joffre@cgiar.org
OI Joffre, Olivier M./0000-0002-7857-5766
FU German Federal Ministry for Economic Cooperation and Development (BMZ)
FX This study forms part of the Coastal Zone Management Project, Soc Trang,
   implemented by Deutsche Gesellschaft fur Internationale Zusammenarbeit
   (GIZ) GmbH, financed by the German Federal Ministry for Economic
   Cooperation and Development (BMZ). This work was undertaken as part of
   the CGIAR Research Program on Fish Agrifood Systems (FISH).
CR Alongi DM, 2014, ANNU REV MAR SCI, V6, P195, DOI 10.1146/annurev-marine-010213-135020
   [Anonymous], 2002, Mangrove Ecology, Silviculture and Conservation
   [Anonymous], 2007, HUMAN DEV REPORT 200
   Barbier EB, 2008, SCIENCE, V319, P321, DOI 10.1126/science.1150349
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Barracoulgh S., 1996, 74 UNRSID
   Brown O., 2006, Natural Disasters and Resource Rights: Building Resilience, Rebuilding Lives
   Carew-Reid J., 2007, 1 INT CTR ENV MAN
   Chatenoux B, 2007, NAT HAZARDS, V40, P289, DOI 10.1007/s11069-006-0015-9
   Couffinhal J. F., 1918, SITUATION FORETS COC
   Danielsen F, 2005, SCIENCE, V310, P643, DOI 10.1126/science.1118387
   Das S, 2009, P NATL ACAD SCI USA, V106, P7357, DOI 10.1073/pnas.0810440106
   Ducamp R., 1909, REV INDOCHINOISE, V11, P18
   Feagin RA, 2010, CONSERV LETT, V3, P1, DOI 10.1111/j.1755-263X.2009.00087.x
   Horstman EM, 2014, COAST ENG, V94, P47, DOI 10.1016/j.coastaleng.2014.08.005
   ICEM (International Center for Environmental Management), 2010, MRC Strategic Environmental Assessment (SEA) of hydropower on the Mekong mainstream
   Joffre O, 2010, MANGROVE DYNAMICS SO, DOI DOI 10.1111/nph.12605
   Kathiresan K, 2005, ESTUAR COAST SHELF S, V65, P601, DOI 10.1016/j.ecss.2005.06.022
   Kummu M, 2008, AMBIO, V37, P158, DOI 10.1579/0044-7447(2008)37[158:SCOBFT]2.0.CO;2
   Lee SY, 2014, GLOBAL ECOL BIOGEOGR, V23, P726, DOI 10.1111/geb.12155
   Luttrell C, 2006, COMP ASSESS WAT MAN, V2, P17, DOI 10.1079/9781845931070.0017
   Mazda Y., 1997, Mangrove Salt Marshes, V1, P127
   McIvor A., 2012, 2 CAMBR COAST RES UN, V2, P35
   McIvor A., 2012, NATURAL COASTAL PROT, P27
   McLeod E, 2006, Managing mangroves for resilience to climate change
   MEA M.E. A., 2005, ECOSYSTEMS HUMAN WEL
   Pham TT, 2011, MANGROVES SOC TRANG
   Primavera JH, 2006, OCEAN COAST MANAGE, V49, P531, DOI 10.1016/j.ocecoaman.2006.06.018
   Primavera JH, 1997, AQUAC RES, V28, P815
   Schmitt K, 2016, TROPICAL FORESTRY HANDBOOK, 2ND EDITION, P1725, DOI 10.1007/978-3-642-54601-3_126
   Smith TF, 2013, SUSTAINABILITY-BASEL, V5, P228, DOI 10.3390/su5010228
   Stellman JM, 2003, NATURE, V422, P681, DOI 10.1038/nature01537
   Stewart MA, 2011, ENVIRON HIST-US, V16, P524, DOI 10.1093/envhis/emr079
   Tran T., 2006, THESIS U PARIS IV
   Tran T., 2004, ECOLOGICAL DESTRUCTI, P198
   Walling DE, 2008, AMBIO, V37, P150, DOI 10.1579/0044-7447(2008)37[150:TCSLOT]2.0.CO;2
   Xuan V.T., 1998, Development of Farming Systems in the Mekong Delta of Vietnam
NR 37
TC 4
Z9 4
U1 0
U2 2
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1574-0919
BN 978-3-319-90400-9; 978-3-319-90399-6
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2019
VL 64
BP 67
EP 85
DI 10.1007/978-3-319-90400-9_5
D2 10.1007/978-3-319-90400-9
PG 19
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies; Regional & Urban Planning; Water Resources
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Public Administration; Water Resources
GA BQ0NH
UT WOS:000573252500007
DA 2025-01-10
ER

PT J
AU Mishra, B
   Gupta, DK
   Pfenninger, M
   Hickler, T
   Langer, E
   Nam, B
   Paule, J
   Sharma, R
   Ulaszewski, B
   Warmbier, J
   Burczyk, J
   Thines, M
AF Mishra, Bagdevi
   Gupta, Deepak K.
   Pfenninger, Markus
   Hickler, Thomas
   Langer, Ewald
   Nam, Bora
   Paule, Juraj
   Sharma, Rahul
   Ulaszewski, Bartosz
   Warmbier, Joanna
   Burczyk, Jaroslaw
   Thines, Marco
TI A reference genome of the European beech (<i>Fagus sylvatica</i> L.)
SO GIGASCIENCE
LA English
DT Article; Data Paper
DE forest tree; fungi; genomics; hardwood; hybrid assembly; transcriptomics
ID CLIMATE-CHANGE; LOCAL ADAPTATION; CANDIDATE GENES; DIVERSITY;
   POPULATION; SCALE; COMMUNITIES; ANNOTATION; EVOLUTION; SEQUENCE
AB Background: The European beech is arguably the most important climax broad-leaved tree species in Central Europe, widely planted for its valuable wood. Here, we report the 542 Mb draft genome sequence of an up to 300-year-old individual (Bhaga) from an undisturbed stand in the Kellerwald-Edersee National Park in central Germany. Findings: Using a hybrid assembly approach, Illumina reads with short-and long-insert libraries, coupled with long Pacific Biosciences reads, we obtained an assembled genome size of 542 Mb, in line with flow cytometric genome size estimation. The largest scaffold was of 1.15 Mb, the N50 length was 145 kb, and the L50 count was 983. The assembly contained 0.12% of Ns. A Benchmarking with Universal Single-Copy Orthologs (BUSCO) analysis retrieved 94% complete BUSCO genes, well in the range of other high-quality draft genomes of trees. A total of 62,012 protein-coding genes were predicted, assisted by transcriptome sequencing. In addition, we are reporting an efficient method for extracting high-molecular-weight DNA from dormant buds, by which contamination by environmental bacteria and fungi was kept at a minimum. Conclusions: The assembled genome will be a valuable resource and reference for future population genomics studies on the evolution and past climate change adaptation of beech and will be helpful for identifying genes, e.g., involved in drought tolerance, in order to select and breed individuals to adapt forestry to climate change in Europe. A continuously updated genome browser and download page can be accessed from beechgenome. net, which will include future genome versions of the reference individual Bhaga, as new sequencing approaches develop.
C1 [Mishra, Bagdevi; Gupta, Deepak K.; Pfenninger, Markus; Hickler, Thomas; Nam, Bora; Sharma, Rahul; Thines, Marco] Senckenberg Gesell Nat Forsch, Senckenberg Biodivers & Climate Res Ctr BiK F, Senckenberganlage 25, D-60325 Frankfurt, Germany.
   [Mishra, Bagdevi; Gupta, Deepak K.; Nam, Bora; Thines, Marco] Goethe Univ, Dept Biol Sci, Inst Ecol Evolut & Divers, Max von Laue Str 9, D-60438 Frankfurt, Germany.
   [Pfenninger, Markus] Johannes Gutenberg Univ Mainz, Fachbereich Biol, iOME, Gresemundweg 2, D-55128 Mainz, Germany.
   [Hickler, Thomas] Goethe Univ, Dept Geol, Inst Geog, Max von Laue Str 23, D-60438 Frankfurt, Germany.
   [Langer, Ewald] Univ Kassel, FB 10, Dept Ecol, Heinrich Plett Str 40, D-34132 Kassel, Germany.
   [Paule, Juraj] Senckenberg Res Inst, Senckenberganlage 25, D-60325 Frankfurt, Germany.
   [Paule, Juraj] Nat Hist Museum Frankfurt, Dept Bot & Mol Evolut, Senckenberg Gesell Nat Forsch, Senckenberganlage 25, D-60325 Frankfurt, Germany.
   [Ulaszewski, Bartosz; Warmbier, Joanna; Burczyk, Jaroslaw] Kazimierz Wielki Univ, Dept Genet, Ul Chodkiewicza 30, PL-85064 Bydgoszcz, Poland.
C3 Leibniz Association; Senckenberg Gesellschaft fur Naturforschung (SGN);
   Senckenberg Biodiversitat & Klima- Forschungszentrum (BiK-F); Goethe
   University Frankfurt; Johannes Gutenberg University of Mainz; Goethe
   University Frankfurt; Universitat Kassel; Leibniz Association;
   Senckenberg Gesellschaft fur Naturforschung (SGN); Leibniz Association;
   Senckenberg Gesellschaft fur Naturforschung (SGN); Kazimierz Wielki
   University
RP Thines, M (corresponding author), Goethe Univ, Dept Biol Sci, Inst Ecol Evolut & Divers, Max von Laue Str 9, D-60438 Frankfurt, Germany.
EM m.thines@thines-lab.eu
RI Ulaszewski, Bartosz/ABA-6932-2021; Burczyk, Jaroslaw/B-1686-2014;
   Thines, Marco/H-1685-2011; Hickler, Thomas/S-6287-2016; Paule,
   Juraj/A-2998-2017
OI Burczyk, Jaroslaw/0000-0002-6899-2523; Hickler,
   Thomas/0000-0002-4668-7552; Ulaszewski, Bartosz/0000-0003-2981-1205;
   Thines, Marco/0000-0001-7740-6875; /0000-0001-9732-7533; Meger,
   Joanna/0000-0003-3923-5424; Paule, Juraj/0000-0001-5375-7689
FU Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz
   (LOEWE); Biodiversity and Climate Research Centre (BiK-F); Integrative
   Pilzforschung (IPF); Translationale Biodiversitatsgenomik (TBG);
   National Science Center, Poland [2012/04/A/NZ9/00500]
FX This project was partially supported by the Landes-Offensive zur
   Entwicklung Wissenschaftlich-okonomischer Exzellenz (LOEWE), in the
   framework of the Biodiversity and Climate Research Centre (BiK-F; M.P.,
   M.T., T.H.), Integrative Pilzforschung (IPF; M.T.), and Translationale
   Biodiversitatsgenomik (TBG; M.P., M.T.). J.B., B.U., and J.W. were
   supported by grant 2012/04/A/NZ9/00500 from the National Science Center,
   Poland.
CR Ali T, 2016, TAXON, V65, P79, DOI 10.12705/651.6
   [Anonymous], 1996, RepeatMasker
   Boetzer M, 2011, BIOINFORMATICS, V27, P578, DOI 10.1093/bioinformatics/btq683
   Bohn U, 2003, Map of the Natural Vegetation of Europe: Scale 1:2 500 000
   Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
   Brus DJ, 2012, EUR J FOREST RES, V131, P145, DOI 10.1007/s10342-011-0513-5
   Calic I, 2017, BMC GENOMICS, V18, DOI 10.1186/s12864-017-3931-z
   Charlesworth B, 2013, EVOLUTION, V67, P3354, DOI 10.1111/evo.12195
   Charlesworth B, 2009, NAT REV GENET, V10, P195, DOI 10.1038/nrg2526
   Christensen M., 2004, EFI P
   Conesa A, 2005, BIOINFORMATICS, V21, P3674, DOI 10.1093/bioinformatics/bti610
   Cruz F, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0134-5
   Csilléry K, 2014, MOL ECOL, V23, P4696, DOI 10.1111/mec.12902
   Doyle J., 1990, Focus, V12, P13
   Ellenberg H., 2010, Vegetation Mitteleuropas mit den Alpen in okologischer, dynamischer und historischer Sicht; 203 Tabellen
   Farr D., 2017, Fungal Databases, U.S. National Fungus Collections, ARS
   Gallois A, 1999, ANN FOREST SCI, V56, P615, DOI 10.1051/forest:19990709
   Gessler A, 2007, TREES-STRUCT FUNCT, V21, P1, DOI 10.1007/s00468-006-0107-x
   Glémin S, 2014, TRENDS GENET, V30, P263, DOI 10.1016/j.tig.2014.05.002
   Gömöry D, 2015, EUR J FOREST RES, V134, P1075, DOI 10.1007/s10342-015-0910-2
   Hackl T, 2014, BIOINFORMATICS, V30, P3004, DOI 10.1093/bioinformatics/btu392
   Heilmann-Clausen J, 2005, BIODIVERS CONSERV, V14, P2061, DOI 10.1007/s10531-004-4284-x
   Hoff J., 2017, BRAKER2
   Hrivnák M, 2017, TREE GENET GENOMES, V13, DOI 10.1007/s11295-017-1203-3
   Huson DH, 2016, PLOS COMPUT BIOL, V12, DOI 10.1371/journal.pcbi.1004957
   Joshi N., 2015, SICKLE SLIDING WINDO
   Kim D, 2013, GENOME BIOL, V14, DOI 10.1186/gb-2013-14-4-r36
   Krajmerová D, 2017, NEW FOREST, V48, P463, DOI 10.1007/s11056-017-9573-9
   Kramer K, 2010, FOREST ECOL MANAG, V259, P2213, DOI 10.1016/j.foreco.2009.12.023
   La Porta N, 2008, CAN J PLANT PATHOL, V30, P177, DOI 10.1080/07060661.2008.10540534
   Lalagüe H, 2014, TREE GENET GENOMES, V10, P15, DOI 10.1007/s11295-013-0658-0
   Langer E, 2015, MYCOL PROG, V14, DOI 10.1007/s11557-015-1127-y
   Leberecht M, 2015, APPL ENVIRON MICROB, V81, P5957, DOI 10.1128/AEM.01481-15
   Lesur I, 2015, MOL ECOL RESOUR, V15, P1192, DOI 10.1111/1755-0998.12373
   Li H, 2008, GENOME RES, V18, P1851, DOI 10.1101/gr.078212.108
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lomsadze A, 2014, NUCLEIC ACIDS RES, V42, DOI 10.1093/nar/gku557
   Marcais G, 2011, BIOINFORMATICS, V27, P764, DOI 10.1093/bioinformatics/btr011
   Messer PW, 2016, TRENDS GENET, V32, P408, DOI 10.1016/j.tig.2016.04.005
   Mishra B, 2017, BEECH GENOME ONLINE
   Mishra B, 2018, GIGASCIENCE DATABASE, DOI [10.5524/100461, DOI 10.5524/100461]
   Müller M, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0184167
   Müller M, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0943-1
   Myburg AA, 2014, NATURE, V510, P356, DOI 10.1038/nature13308
   NCBI, 2017, NR DAT
   Odor P, 2006, BIOL CONSERV, V131, P58, DOI 10.1016/j.biocon.2006.02.004
   Parra G, 2007, BIOINFORMATICS, V23, P1061, DOI 10.1093/bioinformatics/btm071
   Paule J, 2018, PLANT SYST EVOL, V304, P577, DOI 10.1007/s00606-018-1501-8
   Pena R., 2011, FUNCTIONAL DIVERSITY
   Plomion C, 2016, MOL ECOL RESOUR, V16, P254, DOI 10.1111/1755-0998.12425
   Pluess AR, 2016, NEW PHYTOL, V210, P589, DOI 10.1111/nph.13809
   Price AL, 2005, BIOINFORMATICS, V21, pI351, DOI 10.1093/bioinformatics/bti1018
   San-Miguel-Ayanz J., 2016, European Atlas of Forest Tree Species, DOI DOI 10.2788/038466
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Sork VL, 2016, G3-GENES GENOM GENET, V6, P3485, DOI 10.1534/g3.116.030411
   Stanke M, 2003, BIOINFORMATICS, V19, pII215, DOI 10.1093/bioinformatics/btg1080
   Tuskan GA, 2006, SCIENCE, V313, P1596, DOI 10.1126/science.1128691
   UNESCO, 2017, UNESCO WORLD HER SIT
   Unterseher M, 2013, FUNGAL DIVERS, V60, P43, DOI 10.1007/s13225-013-0222-0
   Valley Oak Genome Project, 2017, QUERC MOLL ASS V3
   Ye CX, 2016, SCI REP-UK, V6, DOI 10.1038/srep31900
   Zerbino DR, 2008, GENOME RES, V18, P821, DOI 10.1101/gr.074492.107
NR 62
TC 51
Z9 51
U1 4
U2 55
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 2047-217X
J9 GIGASCIENCE
JI GigaScience
PD MAY 28
PY 2018
VL 7
IS 6
AR 6
DI 10.1093/gigascience/giy063
PG 8
WC Biology; Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics; Science & Technology - Other
   Topics
GA GM9MV
UT WOS:000438573900001
PM 29893845
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Aslam, M
   Kench, PS
AF Aslam, Mohamed
   Kench, Paul S.
TI Reef island dynamics and mechanisms of change in Huvadhoo Atoll,
   Republic of Maldives, Indian Ocean
SO ANTHROPOCENE
LA English
DT Article
DE Atoll island; Sea level rise; Erosion; Island migration; Morphodynamics
ID SEA-LEVEL RISE; SHORELINE CHANGES; DIEGO GARCIA; CORAL; SEDIMENT;
   STABILITY; EVOLUTION; ECOLOGY; GROWTH
AB Planform changes in 184 reef islands in Huvadhoo atoll, Republic of Maldives are quantified in the context of global environmental change and anthropogenic impacts. Aggregated at the atoll scale, results show that, over the past four decades, total land area increased by 59 ha (2.4%). Land reclamation of 93.8 ha on 12 inhabited islands was the dominant factor in the increase in land area. Excluding reclaimed islands from the dataset reveals net erosion of atoll island area of 28.5 ha (1.5%). Erosion was prevalent on 45% of islands with remaining islands being stable (40%) or increasing in area (15%). A relationship between island size and planform change was identified. Small islands (< 10 ha) were dominated by erosional responses whereas larger islands were dominated be accretion. Results indicate future transformation in atoll land resources to fewer smaller islands but an increase in size of larger islands. Results also indicate that all islands changed, underscoring the dynamic nature of islands on reef surfaces. Ten distinct styles of island adjustment were identified from the dataset. Direct human impact, through reclamation, was found to have a more significant impact on island change in the atoll than secondary factors such as sea level change and changes in reefal sediment supply. Implications for the Maldives are discussed and indicate that land resources for ongoing habitation will persist across the next century though the location of tourism activities on smaller islands places this valuable economic sector at risk. Analysis of historic island change provides a rich information source to reconsider landuse planning in the context of climate change adaptation. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Aslam, Mohamed] Fares Mathoda Isl, Small Isl Res Stn, Huvadhoo Atoll, Maldives.
   [Kench, Paul S.] Univ Auckland, Sch Environm, Private Bag 92019, Auckland, New Zealand.
C3 University of Auckland
RP Kench, PS (corresponding author), Univ Auckland, Sch Environm, Private Bag 92019, Auckland, New Zealand.
EM mohamed.aslam@lamer.com.mv; p.kench@auckland.ac.nz
RI Kench, Paul/IRZ-5540-2023
OI Kench, Paul/0000-0003-4922-9888
CR Albert S, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054011
   Anders F.J., 1991, SHORE BEACH, V59, P17
   [Anonymous], 2015, Economic Impact of Travel Tourism 2015 Annual Update
   [Anonymous], 2012, PITFALLS SHORELINE S
   BAINES GBK, 1976, MAR GEOL, V21, pM1, DOI 10.1016/0025-3227(76)90097-9
   Barnett J., 2005, Journal of International Affairs, V59, P203
   BAYLISSSMITH TP, 1988, GEOGR J, V154, P377, DOI 10.2307/634610
   Beetham E, 2016, J GEOPHYS RES-OCEANS, V121, P311, DOI 10.1002/2015JC011246
   Biribo N, 2013, SUSTAIN SCI, V8, P345, DOI 10.1007/s11625-013-0210-z
   Caldwell P., 2015, Sea level measured by tide gauges from global oceans-The joint archive for sea level holdings (NCEI accession 0019568), V10, DOI DOI 10.7289/V5V40S7W
   Connell J, 2013, ISLANDS AT RISK?: ENVIRONMENTS, ECONOMIES AND CONTEMPORARY CHANGE, P1
   Dickinson W.R., 2009, GSA Today (Geol. Soc. Am.), V19, P4, DOI DOI 10.1130/GSATG461A.1
   Durrant T., 2014, CENTR S PACIFIC, V40, P1917
   East HK, 2016, J COASTAL RES, P577, DOI 10.2112/SI75-116.1
   Ford M, 2013, REMOTE SENS ENVIRON, V135, P130, DOI 10.1016/j.rse.2013.03.027
   Ford M, 2012, J COASTAL RES, V28, P11, DOI [10.2112/JCOASTRES-D-11-00008.1, 10.2112/JCOASTRES-D-U-00008.1]
   Ford MR, 2015, ANTHROPOCENE, V11, P14, DOI 10.1016/j.ancene.2015.11.002
   Ford MR, 2016, GEOLOGY, V44, P159, DOI 10.1130/G37402.1
   Ford MR, 2014, GEOMORPHOLOGY, V214, P216, DOI 10.1016/j.geomorph.2014.02.006
   Graham R., 2003, DIGITAL AERIAL SURVE
   Hamylton S, 2012, REMOTE SENS-BASEL, V4, P3444, DOI 10.3390/rs4113444
   Harangozo S A., 1992, Sea Level Changes: Determination and Effects, Geophysical Monograph 69, Vvol 11, P95
   Hoeke RK, 2013, GLOBAL PLANET CHANGE, V108, P128, DOI 10.1016/j.gloplacha.2013.06.006
   Kench PS, 2015, GEOLOGY, V43, P515, DOI 10.1130/G36555.1
   Kench PS, 2009, GEOLOGY, V37, P455, DOI 10.1130/G25590A.1
   Kench P. S., 2013, TREATISE GEOMORPHOLO, V10, P328
   Kench Paul, 2011, P648
   Kench PS, 2006, GEOMORPHOLOGY, V81, P1, DOI 10.1016/j.geomorph.2006.03.003
   Kench PS, 2001, J COASTAL RES, P645
   Kench PS, 2005, GEOLOGY, V33, P145, DOI 10.1130/G21066.1
   Kench PS, 2006, J GEOPHYS RES-EARTH, V111, DOI 10.1029/2005JF000323
   Khan T.M. A., 2002, MAR GEOD, V25, P133
   Liang YQ, 2016, J COASTAL RES, P587, DOI 10.2112/SI75-118.1
   McAdam Jane., 2010, CLIMATE CHANGE DISPL
   McLean R, 2015, WIRES CLIM CHANGE, V6, P445, DOI 10.1002/wcc.350
   Moore LJ, 2000, J COASTAL RES, V16, P111
   Morgan KM, 2016, EARTH SURF PROC LAND, V41, P1815, DOI 10.1002/esp.3946
   Morgan KM, 2016, SEDIMENT GEOL, V341, P50, DOI 10.1016/j.sedgeo.2016.05.011
   Naseer A, 2004, CORAL REEFS, V23, P161, DOI 10.1007/s00338-003-0366-6
   Pala C, 2014, SCIENCE, V345, P496, DOI 10.1126/science.345.6196.496
   Perry CT, 2015, GEOLOGY, V43, P503, DOI 10.1130/G36623.1
   Perry CT, 2013, GEOLOGY, V41, P1111, DOI 10.1130/G34690.1
   Perry CT, 2011, GLOBAL CHANGE BIOL, V17, P3679, DOI 10.1111/j.1365-2486.2011.02523.x
   Purkis SJ, 2016, GEOMORPHOLOGY, V261, P282, DOI 10.1016/j.geomorph.2016.03.010
   Rankey EC, 2011, SEDIMENTOLOGY, V58, P1831, DOI 10.1111/j.1365-3091.2011.01241.x
   Sheppard C, 2005, ESTUAR COAST SHELF S, V64, P223, DOI 10.1016/j.ecss.2005.02.016
   Stoddart D R., 1971, Applied Coastal Geomorphology, P155
   Storlazzi CD, 2011, CORAL REEFS, V30, P83, DOI 10.1007/s00338-011-0723-9
   THIELER ER, 1994, J COASTAL RES, V10, P549
   Webb AP, 2010, GLOBAL PLANET CHANGE, V72, P234, DOI 10.1016/j.gloplacha.2010.05.003
   Woodworth PL, 2005, GLOBAL PLANET CHANGE, V49, P1, DOI 10.1016/j.gloplacha.2005.04.001
   Yates ML, 2013, J COASTAL RES, V29, P870, DOI 10.2112/JCOASTRES-D-12-00129.1
NR 54
TC 44
Z9 45
U1 5
U2 32
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 2213-3054
J9 ANTHROPOCENE
JI Anthropocene
PD JUN
PY 2017
VL 18
BP 57
EP 68
DI 10.1016/j.ancene.2017.05.003
PG 12
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA FA6ZA
UT WOS:000405592500005
DA 2025-01-10
ER

PT J
AU Rutty, M
   Scott, D
   Johnson, P
   Pons, M
   Steiger, R
   Vilella, M
AF Rutty, Michelle
   Scott, Daniel
   Johnson, Peter
   Pons, Marc
   Steiger, Robert
   Vilella, Marc
TI Using ski industry response to climatic variability to assess climate
   change risk: An analogue study in Eastern Canada
SO TOURISM MANAGEMENT
LA English
DT Article
DE Climate change; Ski tourism; Adaptation; Vulnerability; Analogue; Canada
ID CHANGE VULNERABILITY; SNOW CONDITIONS; TOURISM; ADAPTATION; IMPACT;
   SNOWMAKING; ONTARIO; RESORTS; DEMAND; TYROL
AB To accurately characterize the ski industry's risk to future climate change and varied quality of snow conditions, it is important to assess how the industry has managed and adapted to contemporary anomalously warm ski seasons. This is the first temporal climate change analogue study to use higher resolution daily performance data at the individual ski area scale, including reported snow quality, ski lift operations, slope openings, and water usage for snowmaking. The record warm winter of 2011-2012 in the Ontario ski tourism market (Eastern Canada) is representative of projected future average winter conditions under a mid-century, high greenhouse gas emissions scenario (RCP 8.5), which was compared to the 2010-2011 season which was climatically normal (for the 1981-2010 period). Supply-side impacts across the 17 ski areas during the analogue winter included a total average decrease in the ski season length (-17% days), operating ski lifts (-3%), skiable terrain (-9%), reduced snow quality (e.g., -46% days with packed powder), snowmaking days (-18%), and an increase in water usage for snowmaking (e.g., +300% in December). Demand-side impacts include a 10% decrease in overall skier visits, with a resort size-correlation (small -20%, intermediate -14%, large -8%). With reduced operational ski terrain and more frequent marginal snow conditions, visitor experience is adversely affected more frequently. Collectively, these findings identify differential impacts in the ski tourism market and can assist ski area managers, communities, investors and governments with developing climate change adaptation plans. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Rutty, Michelle] Michigan State Univ, Community Sustainabil, E Lansing, MI 48824 USA.
   [Scott, Daniel; Johnson, Peter] Univ Waterloo, Geog & Environm Management, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada.
   [Pons, Marc; Vilella, Marc] Observ Sostenibilitat Andorra, St Julia De Loria, Andorra.
   [Steiger, Robert] Univ Innsbruck, Inst Publ Finance, A-6020 Innsbruck, Austria.
   [Steiger, Robert] Univ Innsbruck, Inst Geog, A-6020 Innsbruck, Austria.
C3 Michigan State University; University of Waterloo; University of
   Innsbruck; University of Innsbruck
RP Rutty, M (corresponding author), Michigan State Univ, Community Sustainabil, E Lansing, MI 48824 USA.
EM mrutty@msu.edu; daniel.scott@uwaterloo.ca; peterjohnson@uwaterloo.ca;
   mpons@obsa.ad; robert.steiger@uibk.ac.at; mvilella@obsa.ad
RI Johnson, Peter/E-9785-2011; Steiger, Robert/D-4796-2019; Rutty,
   Michelle/GPX-7857-2022; Scott, Daniel/AAB-6190-2020; Pons,
   Marc/AHA-2722-2022; Steiger, Robert/N-5724-2014; Pons, Marc/K-2312-2017
OI Rutty, Michelle/0000-0002-4567-7766; Steiger,
   Robert/0000-0002-1752-6450; Johnson, Peter/0000-0003-4572-2915; Pons,
   Marc/0000-0001-9105-0772; Scott, Daniel/0000-0001-7825-9301
FU Canadian Research Chairs programme and Social Sciences and Humanities
   Research Council of Canada (SSHRC)
FX Financial support from the Canadian Research Chairs programme and Social
   Sciences and Humanities Research Council of Canada (SSHRC) is gratefully
   acknowledged. Gratitude is further extended to Bruce Haynes (President,
   Ontario Snow Resorts Association) for his time and expertise.
CR Abegg B., 2007, CLIMATE CHANGE EUROP, P25
   Agrawala S., 2011, OECD Environment Working Papers No.39, P56
   [Anonymous], 2012, 1 TRACKS        0326
   [Anonymous], 1987, Cahiers de Geographie du Quebec, DOI DOI 10.7202/021843AR
   [Anonymous], 1992, MOUNT RES DEV P VAIL
   [Anonymous], CLIM CHANG SCEN IMPL
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Behringer J., 2000, INTEGRATED ASSESSMEN, V1, P331, DOI [DOI 10.1023/A:1018940901744, 10.1023/a:1018940901744]
   Beniston M, 2003, THEOR APPL CLIMATOL, V76, P125, DOI 10.1007/s00704-003-0016-5
   Breiling M, 1999, REG ENVIRON CHANGE, V1, P4, DOI 10.1007/s101130050003
   Brooks N, 2009, DEV POLICY REV, V27, P741, DOI 10.1111/j.1467-7679.2009.00468.x
   Burton I, 2002, CLIM POLICY, V2, P145, DOI 10.1016/S1469-3062(02)00038-4
   Canadian Ski Council, 2014, 2012 2013 CAN SKIER
   Damm A, 2014, TOURISM MANAGE, V43, P8, DOI 10.1016/j.tourman.2014.01.009
   Dawson J., 2013, Leisure/Loisir, V37, P127, DOI 10.1080/14927713.2013.805037
   Dawson J, 2013, TOURISM MANAGE, V35, P244, DOI 10.1016/j.tourman.2012.07.009
   Dawson J, 2009, CLIM RES, V39, P1, DOI 10.3354/cr00793
   Dawson J, 2007, ANN LEIS RES, V10, P550, DOI 10.1080/11745398.2007.9686781
   Doroszuk E., 2012, TORONTO SUN     0201
   Durnford M., 2012, GLOBE MAIL      0220
   Elsasser H, 2001, MT RES DEV, V21, P335, DOI 10.1659/0276-4741(2001)021[0335:TVOTSI]2.0.CO;2
   Elsasser H, 2002, CLIMATE RES, V20, P253, DOI 10.3354/cr020253
   Endler C, 2011, INT J BIOMETEOROL, V55, P339, DOI 10.1007/s00484-010-0342-0
   Environment Canada, 2016, CLIMATE
   Environment Canada, 2011, ONT WEATH REV
   [Field CB. IPCC IPCC], 2014, CLIMATE CHANGE 2014, P1132
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Ford JD, 2006, POLAR REC, V42, P127, DOI 10.1017/S0032247406005122
   Ford JD, 2012, CAN GEOGR-GEOGR CAN, V56, P275, DOI 10.1111/j.1541-0064.2012.00418.x
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Galloway R.W., 1988, GREENHOUSE, P428, DOI [10.1071/9780643105041, DOI 10.1071/9780643105041]
   Glantz M.H., 1988, SOC RESPONSES REGION
   Gössling S, 2012, ANN TOURISM RES, V39, P36, DOI 10.1016/j.annals.2011.11.002
   Gulli C., 2012, CANADIAN WINTER NEVE
   Hamilton L. C., 2007, INT J CLIMATOLOGY, V27
   HASHAM Alyshah, 2012, TORONTO STAR
   Hendrikx J, 2013, CLIMATIC CHANGE, V119, P965, DOI 10.1007/s10584-013-0741-4
   Hennessy KJ, 2008, CLIM RES, V35, P255, DOI 10.3354/cr00706
   Hofmeijer I, 2013, MITIG ADAPT STRAT GL, V18, P957, DOI 10.1007/s11027-012-9402-6
   Koenig U., 1997, Journal of Sustainable Tourism, V5, P46, DOI 10.1080/09669589708667275
   Konig U., 1998, Pacific Tourism Review, V2, P83
   Larsen JN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1567
   López-Moreno JI, 2009, J HYDROL, V374, P384, DOI 10.1016/j.jhydrol.2009.06.049
   Mackrael K., 2012, GLOBE MAIL      0126
   McKnight Z., 2012, TORONTO STAR
   Moen J., 2007, Journal of Sustainable Tourism, V15, P418, DOI 10.2167/jost624.0
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Ontario Ministry o Environment, 2016, PERM TAK WAT
   Ontario Snow Resorts Association, 2012, 2011 2012 END SEAS R
   Ontario Snow Resorts Association, 2013, 2012 2013 END SESA R
   Pickering C., 2010, GEOGRAPHICAL RES, V48
   Pickering C, 2011, J SUSTAIN TOUR, V19, P767, DOI 10.1080/09669582.2010.544741
   Pons M, 2014, INT J GEOGR INF SCI, V28, P2474, DOI 10.1080/13658816.2014.933481
   PwC (PricewaterhouseCoopers), 2010, CLIM RISKS AD
   Roberts H., 2011, NATL POST       1222
   Rutty M, 2015, CURR ISSUES TOUR, V18, P931, DOI 10.1080/13683500.2014.887665
   Rutty M, 2015, J OUTDO RECREAT TOUR, V11, P13, DOI 10.1016/j.jort.2015.07.002
   Rutty M, 2015, CAN GEOGR-GEOGR CAN, V59, P391, DOI 10.1111/cag.12220
   Rutty M, 2014, WEATHER CLIM SOC, V6, P293, DOI 10.1175/WCAS-D-13-00052.1
   Scott D., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P1411, DOI 10.1007/s11027-006-9071-4
   Scott D., 2006, Journal of Sustainable Tourism, V14, P376, DOI 10.2167/jost550.0
   Scott D, 2003, CLIM RES, V23, P171, DOI 10.3354/cr023171
   Scott D., 2012, TOURISM CLIMATE CHAN, V10
   Scott D, 2008, MITIG ADAPT STRAT GL, V13, P577, DOI 10.1007/s11027-007-9136-z
   Scott D, 2005, CONTEMP GEOGR LEIS T, P54
   Scott D, 2012, WIRES CLIM CHANGE, V3, P213, DOI 10.1002/wcc.165
   Scott D, 2010, J SUSTAIN TOUR, V19, P17, DOI 10.1080/09669582.2010.539694
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Steiger R, 2013, TOUR PLAN DEV, V10, P480, DOI 10.1080/21568316.2013.804431
   Steiger R, 2013, TOURISM GEOGR, V15, P577, DOI 10.1080/14616688.2012.762539
   Steiger R, 2012, J SUSTAIN TOUR, V20, P867, DOI 10.1080/09669582.2012.680464
   Steiger R, 2011, TOUR REV, V66, P4, DOI 10.1108/16605371111175285
   Steiger R, 2010, CLIM RES, V43, P251, DOI 10.3354/cr00941
   Töglhofer C, 2011, CLIM RES, V46, P1, DOI 10.3354/cr00939
   Uhlmann B, 2009, INT J CLIMATOL, V29, P1048, DOI 10.1002/joc.1786
   Ulrichsen H., 2011, NO LIFE         1214
   Unbehaun W, 2008, TOUR REV, V63, P36, DOI 10.1108/16605370810861035
NR 77
TC 84
Z9 95
U1 4
U2 108
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0261-5177
EI 1879-3193
J9 TOURISM MANAGE
JI Tourism Manage.
PD FEB
PY 2017
VL 58
BP 196
EP 204
DI 10.1016/j.tourman.2016.10.020
PG 9
WC Environmental Studies; Hospitality, Leisure, Sport & Tourism; Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics;
   Business & Economics
GA EF9IB
UT WOS:000390642800018
DA 2025-01-10
ER

PT J
AU Boholm, Å
   Prutzer, M
AF Boholm, ASa
   Prutzer, Madeleine
TI Experts' understandings of drinking water risk management in a climate
   change scenario
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Drinking water; Climate change; Adaptation; Risk management; Expertise
ID DECISION-MAKING; WEATHER EVENTS; PERCEPTION; SCIENCE; ADAPTATION;
   CHALLENGES; KNOWLEDGE; HEALTH; MODEL; SAFE
AB The challenges for society presented by climate change are complex and demanding. This paper focuses on one particular resource of utmost necessity and vulnerability to climate change: namely, the provisioning of safe drinking water. From a critical perspective on the role of expertise in risk debates, this paper looks at how Swedish experts understand risk to drinking water in a climate change scenario and how they reason about challenges to risk management and adaptation strategies. The empirical material derives from ten in-depth semi-structured interviews with experts, employed both at government agencies and at universities, and with disciplinary backgrounds in a variety of fields (water engineering, planning, geology and environmental chemistry). The experts understand risk factors affecting both drinking water quality and availability as complex and systemically interrelated. A lack of political saliency of drinking water as a public service is identified as an obstacle to the development of robust adaptation strategies. Another area of concern relates to the geographical, organizational and institutional boundaries (regulatory, political and epistemological) between the plethora of public actors with partly overlapping and sometimes unclear responsibilities for the provisioning of safe drinking water. The study concludes that climate change adaptation regarding drinking water provisioning will require a new integration of the knowledge of systemic risk relations, in combination with more efficient agency collaboration based on a clear demarcation of responsibility between actors. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
C1 [Boholm, ASa] Gothenburg Univ, Sch Global Studies, Gothenburg, Sweden.
   [Prutzer, Madeleine] Gothenburg Univ, Gothenburg Res Inst, Gothenburg, Sweden.
C3 University of Gothenburg; University of Gothenburg
RP Boholm, Å (corresponding author), Gothenburg Univ, Sch Global Studies, Gothenburg, Sweden.
EM asa.boholm@gu.se
FU Swedish Research Council Formas
FX The authors thank Roland Barthel, Anna Bendz, Max Boholm, and Linda
   Soneryd for comments on an earlier version of the paper. We are grateful
   for advice and suggestions by the anonymous reviewer at Climate Risk
   Management. The research has been funded by a grant from the Swedish
   Research Council Formas.
CR [Anonymous], 2004, Safe drinking water : lessons from recent outbreaks in affluent nations
   [Anonymous], 2006, STATES KNOWLEDGE COP
   [Anonymous], 2008, Risk Governance. Coping with Uncertainty in a Complex World
   [Anonymous], 2016, 201632 SOU
   [Anonymous], 2006, 2006196 SOU
   BARKE RP, 1993, RISK ANAL, V13, P425, DOI 10.1111/j.1539-6924.1993.tb00743.x
   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
   Beck U, 1992, RISK SOC NEW MODERNI
   Boholm Å, 2012, J RISK RES, V15, P1, DOI 10.1080/13669877.2011.587886
   Boholm M, 2009, RISK ANAL, V29, P1566, DOI 10.1111/j.1539-6924.2009.01296.x
   Brookes JD, 2014, ENVIRON SCI TECHNOL, V48, P2099, DOI 10.1021/es405606t
   Bryson JM, 2015, PUBLIC ADMIN REV, V75, P647, DOI 10.1111/puar.12432
   Cann KF, 2013, EPIDEMIOL INFECT, V141, P671, DOI 10.1017/S0950268812001653
   Collins H.M., 2007, Rethinking Expertise
   Collins HM, 2002, SOC STUD SCI, V32, P235, DOI 10.1177/0306312702032002003
   Delpla I, 2009, ENVIRON INT, V35, P1225, DOI 10.1016/j.envint.2009.07.001
   Emelko MB, 2011, WATER RES, V45, P461, DOI 10.1016/j.watres.2010.08.051
   FISCHHOFF B, 1978, POLICY SCI, V9, P127, DOI 10.1007/BF00143739
   Fromm J, 2006, J RISK RES, V9, P243, DOI 10.1080/13669870600603287
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Herrador BRG, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0014-y
   Hjerpe M, 2015, LOCAL ENVIRON, V20, P855, DOI 10.1080/13549839.2013.872092
   Hood C., 2001, GOVT OF RISK
   Hrudey SE, 2006, ENVIRON INT, V32, P948, DOI 10.1016/j.envint.2006.06.004
   Hulme M, 2008, T I BRIT GEOGR, V33, P5, DOI 10.1111/j.1475-5661.2007.00289.x
   Hunter PR, 2003, J APPL MICROBIOL, V94, p37S, DOI 10.1046/j.1365-2672.94.s1.5.x
   Hutter B., 2005, ORG ENCOUNTERS RISK
   Jalba DI, 2010, ENVIRON INT, V36, P51, DOI 10.1016/j.envint.2009.09.007
   Joffe H, 2003, BRIT J SOC PSYCHOL, V42, P55, DOI 10.1348/014466603763276126
   Jung AV, 2014, INT J ENV RES PUB HE, V11, P4292, DOI 10.3390/ijerph110404292
   Karlsson M., 2010, GOTA ALV RIVER RISK
   Karthe D., 2016, URBAN WATER J
   Karthe D., 2016, ENV EARTH SCI
   Karthe D, 2015, HYDROL WASSERBEWIRTS, V59, P264, DOI 10.5675/HyWa_2015,5_7
   Khan SJ, 2015, WATER RES, V85, P124, DOI 10.1016/j.watres.2015.08.018
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P1, DOI 10.1016/j.crm.2015.06.002
   Klinke A., 2006, Forum: Qualitative Sozialforschung, V7, P33
   Kovacs MH, 2013, AIP CONF PROC, V1565, P298, DOI 10.1063/1.4833749
   Krueger T, 2012, ENVIRON MODELL SOFTW, V36, P4, DOI 10.1016/j.envsoft.2012.01.011
   Lash Scott., 1992, RISK SOC, P1
   Leventon J, 2012, ENVIRON POLICY GOV, V22, P253, DOI 10.1002/eet.1590
   Lewis J, 2013, HYDROGEOL J, V21, P751, DOI 10.1007/s10040-013-0966-3
   Li Z., 2014, J ENV ENG, V140, pA401
   Lidskog R., 2010, Transboundary Risk Governance
   Lidskog R, 2011, AMBIO, V40, P111, DOI 10.1007/s13280-010-0123-3
   Linnerooth-Bayer J., 2001, TRANSBOUNDARY RISK M
   Lofstedt R., 1998, GLOBAL ENVIRON CHANG, V8, P239
   Luh J, 2015, CLIMATIC CHANGE, V133, P665, DOI 10.1007/s10584-015-1493-0
   Lundqvist LJ, 2016, EUR PLAN STUD, V24, P1, DOI 10.1080/09654313.2015.1056774
   Marsalek J., 2006, Transboundary floods: reducing risks through flood management
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Mulder K, 2014, TECHNOL SOC, V39, P88, DOI 10.1016/j.techsoc.2013.11.003
   Murphy P, 2001, SCI TECHNOL HUM VAL, V26, P278, DOI 10.1177/016224390102600302
   Niemczynowicz J., 1999, Urban Water, V1, P1, DOI 10.1016/S1462-0758(99)00009-6
   Orru K, 2015, ENVIRON PLANN A, V47, P356, DOI 10.1068/a130295p
   Otto-Banaszak I, 2011, REG ENVIRON CHANGE, V11, P217, DOI 10.1007/s10113-010-0144-2
   Petts J, 2006, ENVIRON PLANN A, V38, P1045, DOI 10.1068/a37373
   Power M., 2016, RISKWORK ESSAYS ORG
   Power M., 2007, Organized uncertainty: Designing a world of risk management
   Putnam S. W., 1995, SEEKING SAFE DRINKIN, P124
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Rowe G, 2001, RISK ANAL, V21, P341, DOI 10.1111/0272-4332.212116
   Rudén C, 2004, FOOD CHEM TOXICOL, V42, P335, DOI [10.1016/j.fct.2003.10.017, 10.1016/J.FCT.2003.10.017]
   Shrader-Frechette K., 1995, Risk: Health, Safety, Environment, V6, P115
   Sjöberg L, 2005, J RISK RES, V8, P599, DOI 10.1080/13669870500062576
   Sjöberg L, 2002, SCI TECHNOL HUM VAL, V27, P443, DOI 10.1177/016224302236176
   SLOVIC P, 1979, ENVIRONMENT, V21, P14, DOI 10.1080/00139157.1979.9933091
   Slovic Paul, 1980, Societal, P181, DOI 10.1007/978-1-4899-0445-4_9
   SOU, 2015, 201551 SOU
   Steffens K, 2015, SCI TOTAL ENVIRON, V514, P239, DOI 10.1016/j.scitotenv.2014.12.049
   Storbjörk S, 2014, EUR PLAN STUD, V22, P2268, DOI 10.1080/09654313.2013.830697
   Sturgis P, 2004, PUBLIC UNDERST SCI, V13, P55, DOI 10.1177/0963662504042690
   Sunstein CassR., 2002, RISK REASON SAFETY L
   Tait J, 2001, HEALTH RISK SOC, V3, P99, DOI 10.1080/713670175
   Thomas M., 2015, J I ENG INDIA B, P1
   van der Hoek JP, 2014, J WATER CLIM CHANGE, V5, P61, DOI 10.2166/wcc.2013.060
   Villanueva CM, 2014, ENVIRON HEALTH PERSP, V122, P213, DOI 10.1289/ehp.1206229
   Wainwright J, 2010, ANN ASSOC AM GEOGR, V100, P983, DOI 10.1080/00045608.2010.502439
   WEINBERG AM, 1972, MINERVA, V10, P209, DOI 10.1007/BF01682418
   Weyhenmeyer GA, 2016, CLIMATIC CHANGE, V134, P225, DOI 10.1007/s10584-015-1514-z
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   Wols BA, 2016, EUR J TRANSP INFRAST, V16, P240
   Wols BA, 2014, COMPUT GEOTECH, V55, P240, DOI 10.1016/j.compgeo.2013.09.003
   Wynne B, 2001, Sci Cult (Lond), V10, P445, DOI 10.1080/09505430120093586
   Wynne B., 1996, RISK ENV MODERNITY, P44, DOI DOI 10.4135/9781446221983.N3
NR 85
TC 35
Z9 41
U1 3
U2 27
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2017
VL 16
BP 133
EP 144
DI 10.1016/j.crm.2017.01.003
PG 12
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FB0RK
UT WOS:000405852000011
OA gold
DA 2025-01-10
ER

PT J
AU Périé, C
   de Blois, S
AF Perie, Catherine
   de Blois, Sylvie
TI Dominant forest tree species are potentially vulnerable to climate
   change over large portions of their range even at high latitudes
SO PEERJ
LA English
DT Article
DE Climate change adaptation; Boreal forest management; Forest decline;
   Climate change; Habitat suitability; Species distribution model; Tree
   species maladaptation; Risk assessment; Quebec
ID DISTRIBUTION MODELS; BOREAL FOREST; ASSISTED MIGRATION; ABIES-BALSAMEA;
   NORTH-AMERICA; FUTURE; MANAGEMENT; RESPONSES; IMPACTS; PERFORMANCE
AB Projecting suitable conditions for a species as a function of future climate provides a reasonable, although admittedly imperfect, spatially explicit estimate of species vulnerability associated with climate change. Projections emphasizing range shifts at continental scale, however, can mask contrasting patterns at local or regional scale where management and policy decisions are made. Moreover, models usually show potential for areas to become climatically unsuitable, remain suitable, or become suitable for a particular species with climate change, but each of these outcomes raises markedly different ecological and management issues. Managing forest decline at sites where climatic stress is projected to increase is likely to be the most immediate challenge resulting from climate change. Here we assess habitat suitability with climate change for five dominant tree species of eastern North American forests, focusing on areas of greatest vulnerability (loss of suitability in the baseline range) in Quebec (Canada) rather than opportunities (increase in suitability). Results show that these species are at risk of maladaptation over a remarkably large proportion of their baseline range. Depending on species, 5-21% of currently climatically suitable habitats are projected to be at risk of becoming unsuitable. This suggests that species that have traditionally defined whole regional vegetation assemblages could become less adapted to these regions, with significant impact on ecosystems and forest economy. In spite of their well-recognised limitations and the uncertainty that remains, regionally-explicit risk assessment approaches remain one of the best options to convey that message and the need for climate policies and forest management adaptation strategies.
C1 [Perie, Catherine] Minist Forets Faune & Parcs, Direct Rech Forestiere, Quebec City, PQ, Canada.
   [de Blois, Sylvie] McGill Univ, Dept Plant Sci, Macdonald Campus, Quebec City, PQ, Canada.
   [de Blois, Sylvie] McGill Univ, McGill Sch Environm, Montreal, PQ, Canada.
C3 McGill University; McGill University
RP Périé, C (corresponding author), Minist Forets Faune & Parcs, Direct Rech Forestiere, Quebec City, PQ, Canada.
EM catherine.perie@mffp.gouv.qc.ca
OI Perie, Catherine/0000-0003-1785-3950
FU ministere des Forets, de la Faune et des Parcs du Quebec; Government of
   Quebec's Green Fund; DRF's project [142332119]
FX Funding for this research was provided by the ministere des Forets, de
   la Faune et des Parcs du Quebec and the Government of Quebec's Green
   Fund within the framework of measure 24 of the 2006-2012 Climate Change
   Action Plan and research was conducted as part of the DRF's project
   142332119. The funders had no role in study design, data analysis,
   decision to publish, or preparation of the manuscript. Data of Quebec
   were provided by the ministere des Forets, de la Faune et des Parcs,
   through forest inventories.
CR Ali AA, 2008, HOLOCENE, V18, P693, DOI 10.1177/0959683608091780
   Anderegg WRL, 2015, NAT GEOSCI, V8, P367, DOI [10.1038/ngeo2400, 10.1038/NGEO2400]
   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
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   Barbet-Massin M, 2010, ECOGRAPHY, V33, P878, DOI 10.1111/j.1600-0587.2010.06181.x
   Beauregard F, ECOSPHERE IN PRESS
   Beauregard F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0092642
   Bergeron Y, 2010, INT J WILDLAND FIRE, V19, P1127, DOI 10.1071/WF09092
   Berteaux D., 2014, Changements climatiques et biodiversite du Quebec, vers un nouveau patrimoine naturel
   Bishop DA, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00260.1
   Blois JL, 2013, SCIENCE, V341, P499, DOI 10.1126/science.1237184
   Boisvert-Marsh L, 2014, ECOSPHERE, V5, DOI 10.1890/ES14-00111.1
   Boulet, 2013, GUID SYLV QUEB
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Brooker RW, 2006, NEW PHYTOL, V171, P271, DOI 10.1111/j.1469-8137.2006.01752.x
   Brown CD, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1779
   Carón MM, 2015, FOREST ECOL MANAG, V342, P21, DOI 10.1016/j.foreco.2015.01.003
   Casajus N, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0152495
   Churchill DJ, 2013, FOREST ECOL MANAG, V291, P442, DOI 10.1016/j.foreco.2012.11.007
   Couillard PL, 2013, CAN J FOREST RES, V43, P188, DOI 10.1139/cjfr-2012-0414
   Creeden EP, 2014, FOREST ECOL MANAG, V312, P239, DOI 10.1016/j.foreco.2013.09.051
   D'Orangeville L, 2013, TREE PHYSIOL, V33, P516, DOI 10.1093/treephys/tpt027
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   de Berg M., 2008, Computational Geometry, DOI [10.1007/978-3-540-77974-2, DOI 10.1007/978-3-540-77974-2]
   DeRose RJ, 2013, FOREST ECOL MANAG, V308, P198, DOI 10.1016/j.foreco.2013.07.061
   Dhital N, 2015, J ENVIRON PLANN MAN, V58, P2228, DOI 10.1080/09640568.2014.978079
   Diffenbaugh NS, 2013, SCIENCE, V341, P486, DOI 10.1126/science.1237123
   Diffenbaugh NS, 2011, CLIMATIC CHANGE, V107, P615, DOI 10.1007/s10584-011-0112-y
   Duchesne L, 2014, PEERJ, V2, DOI 10.7717/peerj.428
   Dudley MM, 2015, FOREST ECOL MANAG, V353, P240, DOI 10.1016/j.foreco.2015.06.002
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Dulamsuren C, 2013, ECOSYSTEMS, V16, P1536, DOI 10.1007/s10021-013-9700-1
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   FAO, 2007, IT PUBL, V5
   Fielding AH, 1997, ENVIRON CONSERV, V24, P38, DOI 10.1017/S0376892997000088
   Fierravanti A, 2015, AGR FOREST METEOROL, V213, P53, DOI 10.1016/j.agrformet.2015.06.014
   Forets SD, 2014, RES PLAC PERM QUEB M, P10
   Franklin J, 2013, DIVERS DISTRIB, V19, P1217, DOI 10.1111/ddi.12125
   Freeman EA, 2008, ECOL MODEL, V217, P48, DOI 10.1016/j.ecolmodel.2008.05.015
   Garamvoelgyi A, 2013, APPL ECOL ENV RES, V11, P79, DOI 10.15666/aeer/1101_079122
   García-Valdés R, 2015, J APPL ECOL, V52, P902, DOI 10.1111/1365-2664.12453
   Gauthier S, 2015, SCIENCE, V349, P819, DOI 10.1126/science.aaa9092
   Gauthier S., 2009, ECOSYSTEM MANAGEMENT
   Girardin MP, 2014, GLOBAL CHANGE BIOL, V20, P851, DOI 10.1111/gcb.12400
   Guo CB, 2015, ECOL MODEL, V306, P67, DOI 10.1016/j.ecolmodel.2014.08.002
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Iverson LR, 2008, FOREST ECOL MANAG, V254, P390, DOI 10.1016/j.foreco.2007.07.023
   Iverson LR, 2011, ECOSYSTEMS, V14, P1005, DOI 10.1007/s10021-011-9456-4
   Janowiak MK, 2014, J FOREST, V112, P424, DOI 10.5849/jof.13-094
   Koralewski TE, 2015, FOREST ECOL MANAG, V344, P30, DOI 10.1016/j.foreco.2015.02.014
   Lafleur B, 2010, ENVIRON REV, V18, P279, DOI 10.1139/A10-013
   Landscape Change Research Group, 2014, CLIM CHANG ATL
   Leung B, 2012, ECOL LETT, V15, P1475, DOI 10.1111/ele.12003
   Little Jr EL, 1971, DEP AGR MISC PUB, V1146
   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
   Logan T, 2011, ATLAS SCENARIOS CLIM, P55
   Marmion M, 2009, ECOL MODEL, V220, P3512, DOI 10.1016/j.ecolmodel.2008.10.019
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   McCarthy JJ, 2001, CONTR WORK GROUP 2 3
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Meier ES, 2012, GLOBAL ECOL BIOGEOGR, V21, P164, DOI 10.1111/j.1466-8238.2011.00669.x
   Messier C, 2016, CURR FOR REP, V2, P150, DOI 10.1007/s40725-016-0036-x
   Mori AS, 2013, BIOL CONSERV, V165, P115, DOI 10.1016/j.biocon.2013.05.020
   Morton TA, 2011, GLOBAL ENVIRON CHANG, V21, P103, DOI 10.1016/j.gloenvcha.2010.09.013
   Normand S, 2009, GLOBAL ECOL BIOGEOGR, V18, P437, DOI 10.1111/j.1466-8238.2009.00451.x
   Nowacki GJ, 2015, GLOBAL CHANGE BIOL, V21, P314, DOI 10.1111/gcb.12663
   Ouranos, 2015, Vers l'adaptation. Synthese des connaissances sur les changements climatiques au Quebec
   Park A, 2014, CRIT REV PLANT SCI, V33, P251, DOI 10.1080/07352689.2014.858956
   Paul V, 2014, PLANT ECOL, V215, P181, DOI 10.1007/s11258-013-0288-5
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Price DT, 2013, ENVIRON REV, V21, P322, DOI 10.1139/er-2013-0042
   Pureswaran DS, 2015, ECOLOGY, V96, P1480, DOI 10.1890/13-2366.1
   Ray D., 2010, Research Note - Forestry Commission
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Renwick KM, 2015, GLOBAL ECOL BIOGEOGR, V24, P44, DOI 10.1111/geb.12240
   Rogelj J, 2012, NAT CLIM CHANGE, V2, P248, DOI [10.1038/NCLIMATE1385, 10.1038/nclimate1385]
   SAS Institute Inc, 2008, SAS STAT 9 2 US GUID
   Savage J, 2015, ECOGRAPHY, V38, P546, DOI 10.1111/ecog.01131
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Sun SL, 2015, FOREST ECOL MANAG, V353, P260, DOI 10.1016/j.foreco.2015.03.054
   Sunday J. M., 2012, Nature Climate Change, V2, P686
   Svenning JC, 2013, AM J BOT, V100, P1266, DOI 10.3732/ajb.1200469
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Talluto MV, 2016, GLOBAL ECOL BIOGEOGR, V25, P238, DOI 10.1111/geb.12395
   Terrier A, 2013, ECOL APPL, V23, P21, DOI 10.1890/12-0425.1
   Thompson I., 2009, A Synthesis of the Biodiversity/Resilience/Stability Relationship in Forest Ecosystems; Technical, V43, P1, DOI DOI 10.1126/SCIADV.1500936
   Thuiller W, 2008, PERSPECT PLANT ECOL, V9, P137, DOI 10.1016/j.ppees.2007.09.004
   Thuiller W, 2009, ECOGRAPHY, V32, P369, DOI 10.1111/j.1600-0587.2008.05742.x
   Virkkala R, 2010, ACTA OECOL, V36, P269, DOI 10.1016/j.actao.2010.01.006
   Wang TL, 2016, FOREST ECOL MANAG, V360, P357, DOI 10.1016/j.foreco.2015.08.004
   Wang XY, 2013, ADV CLIM CHANG RES, V4, P230, DOI 10.3724/SP.J.1248.2013.230
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Woodall CW, 2009, FOREST ECOL MANAG, V257, P1434, DOI 10.1016/j.foreco.2008.12.013
   WOODWARD FI, 1987, VEGETATIO, V69, P189, DOI 10.1007/BF00038700
   Worrall JJ, 2013, FOREST ECOL MANAG, V299, P35, DOI 10.1016/j.foreco.2012.12.033
   Wu XC, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0042619
   Yousefpour R, 2014, ANN FOREST SCI, V71, P301, DOI 10.1007/s13595-013-0320-x
   Zhang BC, 2016, J BASIC MICROB, V56, P670, DOI 10.1002/jobm.201500751
   Zolkos SG, 2015, ECOSYSTEMS, V18, P202, DOI 10.1007/s10021-014-9822-0
NR 104
TC 45
Z9 45
U1 5
U2 66
PU PEERJ INC
PI LONDON
PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND
SN 2167-8359
J9 PEERJ
JI PeerJ
PD JUL 13
PY 2016
VL 4
AR e2218
DI 10.7717/peerj.2218
PG 27
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA DR7GL
UT WOS:000380067900004
PM 27478706
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Nendel, C
   Kersebaum, KC
   Mirschel, W
   Wenkel, KO
AF Nendel, C.
   Kersebaum, K. C.
   Mirschel, W.
   Wenkel, K. O.
TI Testing farm management options as climate change adaptation strategies
   using the MONICA model
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Simulation model; Climate change; Crop management; Adaptation strategies
ID CARBON SEQUESTRATION; NITROGEN DYNAMICS; CHANGE IMPACTS; LAND-USE;
   AGRICULTURE; SIMULATION; GROWTH; YIELD; WATER; PRODUCTIVITY
AB Adaptation of agriculture to climate change will be driven at the farm level in first place. The MONICA model was employed in four different modelling exercises for demonstration and testing different management options for farmers in Germany to adjust their production system. 30-Year simulations were run for the periods 1996-2025 and 2056-2085 using future climate data generated by a statistical method on the basis of measured data from 1961 to 2000 and the A1B scenario of the IPCC (2007a). Crop rotation designs that are expected to become possible in the future due to a prolonged vegetation period and at the same time shortened cereal growth period were tested for their likely success. The model suggested that a spring barley succeeding a winter barley may be successfully grown in the second half of the century, allowing for a larger yields by intensification of the cropping cycle. Growing a winter wheat after a sugar beet may lead to future problems as late sowing makes the winter wheat grow into periods prone to drought. Irrigation is projected to considerably improve and stabilise the yields of late cereals and of shallow rooting crops (maize and pea) on sandy soils in the continental climate part of Germany, but not in the humid West. Nitrogen fertiliser management needs to be adjusted to increasing or decreasing yield expectations and for decreasing soil moisture. On soils containing sufficient amounts of Moisture and soil organic matter, enhanced mineralisation is expected to compensate for a greater N demand. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Nendel, C.; Kersebaum, K. C.; Mirschel, W.; Wenkel, K. O.] Inst Landscape Syst Anal, Leibniz Ctr Agr Landscape Res, D-15374 Muncheberg, Germany.
C3 Leibniz Association; Leibniz Zentrum fur Agrarlandschaftsforschung
   (ZALF)
RP Nendel, C (corresponding author), Inst Landscape Syst Anal, Leibniz Ctr Agr Landscape Res, Eberswalder Str 84, D-15374 Muncheberg, Germany.
EM nendel@zalf.de
RI Nendel, Claas/C-8844-2013; Kersebaum, Kurt Christian/A-7558-2010
OI Nendel, Claas/0000-0001-7608-9097; Kersebaum, Kurt
   Christian/0000-0002-3679-8427
FU Federal Ministry of Education and Research (BMBF) [01LS05109]; ZALF
   budget funds
FX The authors wish to acknowledge financial support received from the
   Federal Ministry of Education and Research (BMBF) within the klimazwei
   research programme (Landcare2020, 01LS05109). C. Nendel received
   additional funding from ZALF budget funds.
CR Alexandrov V, 2002, GLOBAL CHANGE BIOL, V8, P372, DOI 10.1046/j.1354-1013.2002.00484.x
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x
   Brisson N, 2010, FIELD CROP RES, V119, P201, DOI 10.1016/j.fcr.2010.07.012
   Challinor AJ, 2005, AGR FOREST METEOROL, V135, P180, DOI 10.1016/j.agrformet.2005.11.015
   Chmielewski FM, 2005, INT J BIOMETEOROL, V50, P96, DOI 10.1007/s00484-005-0275-1
   DIEKKRUGER B, 1995, ECOL MODEL, V81, P3, DOI 10.1016/0304-3800(94)00157-D
   Enke W, 2005, THEOR APPL CLIMATOL, V82, P51, DOI 10.1007/s00704-004-0116-x
   Ewert F, 2005, AGR ECOSYST ENVIRON, V107, P101, DOI 10.1016/j.agee.2004.12.003
   Falloon P, 2010, SCI TOTAL ENVIRON, V408, P5667, DOI 10.1016/j.scitotenv.2009.05.002
   Gandorfer M., 2009, JB OSTERREICHISCHEN, V18, P47
   HANSEN S, 1991, FERT RES, V27, P245, DOI 10.1007/BF01051131
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Hutchinson JJ, 2007, AGR FOREST METEOROL, V142, P288, DOI 10.1016/j.agrformet.2006.03.030
   Iglesias A, 2010, CLIM RES, V44, P83, DOI 10.3354/cr00921
   Jensen LS, 2001, MODELING CARBON AND NITROGEN DYNAMICS FOR SOIL MANAGEMENT, P483
   KERSEBAUM KC, 1995, ECOL MODEL, V81, P145, DOI 10.1016/0304-3800(94)00167-G
   Kersebaum KC, 2007, NUTR CYCL AGROECOSYS, V77, P39, DOI 10.1007/s10705-006-9044-8
   Köstner B, 2014, EUR J AGRON, V52, P1, DOI 10.1016/j.eja.2013.08.003
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Luo Q, 2009, AGR ECOSYST ENVIRON, V129, P261, DOI 10.1016/j.agee.2008.09.010
   Manderscheid R, 2010, EUR J AGRON, V32, P228, DOI 10.1016/j.eja.2009.12.002
   Mirschel W, 2007, MODELLING WATER AND NUTRIENT DYNAMICS IN SOIL-CROP SYSTEMS, P59, DOI 10.1007/978-1-4020-4479-3_6
   Moriondo M, 2010, MITIG ADAPT STRAT GL, V15, P657, DOI 10.1007/s11027-010-9219-0
   Münch T, 2014, EUR J AGRON, V52, P57, DOI 10.1016/j.eja.2013.01.005
   Nendel C, 2009, EUR J AGRON, V30, P110, DOI 10.1016/j.eja.2008.08.003
   Nendel C, 2011, ECOL MODEL, V222, P1614, DOI 10.1016/j.ecolmodel.2011.02.018
   Nendel C, 2009, NJAS-WAGEN J LIFE SC, V57, P17, DOI 10.1016/j.njas.2009.07.005
   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
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Palosuo T, 2011, EUR J AGRON, V35, P103, DOI 10.1016/j.eja.2011.05.001
   Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008
   Pedersen A, 2010, PLANT SOIL, V326, P493, DOI 10.1007/s11104-009-0028-8
   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]
   Rötter RP, 2012, FIELD CROP RES, V133, P23, DOI 10.1016/j.fcr.2012.03.016
   Ruiz-Ramos M, 2010, CLIM RES, V44, P69, DOI 10.3354/cr00933
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
   Semenov MA, 2009, J EXP BOT, V60, P2791, DOI 10.1093/jxb/erp164
   Sinclair TR, 2001, AGRON J, V93, P263, DOI 10.2134/agronj2001.932263x
   Smith P, 1997, GEODERMA, V81, P153, DOI 10.1016/S0016-7061(97)00087-6
   Tao FL, 2010, EUR J AGRON, V33, P103, DOI 10.1016/j.eja.2010.04.002
   Trnka M, 2004, CLIMATIC CHANGE, V64, P227, DOI 10.1023/B:CLIM.0000024675.39030.96
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   Van Keulen H., 1982, Simulation of poplar growth and crop production,Simulation Monographs, P87
   Wegehenkel M, 2000, ECOL MODEL, V129, P39, DOI 10.1016/S0304-3800(00)00221-0
   Wenkel KO, 2013, J ENVIRON MANAGE, V127, pS168, DOI 10.1016/j.jenvman.2013.02.051
   West TO, 2002, SOIL SCI SOC AM J, V66, P1930, DOI 10.2136/sssaj2002.1930
NR 48
TC 65
Z9 69
U1 0
U2 89
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 JAN
PY 2014
VL 52
SI SI
BP 47
EP 56
DI 10.1016/j.eja.2012.09.005
PN A
PG 10
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 278YA
UT WOS:000328924600005
DA 2025-01-10
ER

PT J
AU Bonnaventure, PP
   Lewkowicz, AG
   Kremer, M
   Sawada, MC
AF Bonnaventure, Philip P.
   Lewkowicz, Antoni G.
   Kremer, Marian
   Sawada, Michael C.
TI A Permafrost Probability Model for the Southern Yukon and Northern
   British Columbia, Canada
SO PERMAFROST AND PERIGLACIAL PROCESSES
LA English
DT Article
DE mountain permafrost modelling; BTS; equivalent elevation; surface lapse
   rate; Yukon; British Columbia
ID MOUNTAIN PERMAFROST; THERMAL STATE; BTS METHOD; ALPS
AB Permafrost maps are needed for infrastructure planning, climatic change adaptation strategies and northern development but often lack sufficient detail for these purposes. The high-resolution (30 x 30?m grid cells) probability model for the southern Yukon and northern British Columbia presented in this paper (regional model) is a combination of seven local empirical-statistical models, each developed from basal temperature of snow measurements in winter and ground-truthing of frozen-ground presence in summer. The models were blended using a distance-decay power approach to generate a map of permafrost probability over an area of almost 500 000?km2 between 59 degrees N and 65 degrees N. The result is broadly similar to previous permafrost maps with an average permafrost probability of 58 per cent for the region as a whole. There are notable differences in detail, however, because the main predictive variable used in the local models is equivalent elevation, which incorporates the effects of gentle or inverted surface lapse rates in the forest zone. Most of the region shows permafrost distribution patterns that are non-linear, resembling those from continental areas such as Mongolia. Only the southwestern area shows a similar mountain permafrost distribution to that in the European Alps with a well-defined lower limit and a linear increase in probability with elevation. The results of the modelling can be presented on paper using traditional classifications into permafrost zones but given the level of detail, they will be more useful as an interactive online map. Copyright (C) 2012 John Wiley & Sons, Ltd.
C1 [Bonnaventure, Philip P.] Queens Univ, Dept Geog, Kingston, ON K7L 3N6, Canada.
   [Bonnaventure, Philip P.; Lewkowicz, Antoni G.; Kremer, Marian; Sawada, Michael C.] Univ Ottawa, Dept Geog, Ottawa, ON K1N 6N5, Canada.
C3 Queens University - Canada; University of Ottawa
RP Bonnaventure, PP (corresponding author), Queens Univ, Dept Geog, 68 Univ Ave, Kingston, ON K7L 3N6, Canada.
EM philip.bonnaventure@queensu.ca
RI Sawada, Michael/O-8457-2019; Lewkowicz, Antoni/B-4077-2013
OI Sawada, Michael/0000-0001-5180-5325
FU Canadian Foundation for Climate and Atmospheric Sciences; Federal
   Government of Canada; Natural Sciences and Engineering Research Council
   of Canada; Department of Indian Affairs and Northern Development; Yukon
   Geological Survey; Geological Survey of Canada; Faculty of Arts,
   University of Ottawa
FX This project was supported financially by the Canadian Foundation for
   Climate and Atmospheric Sciences, the Federal Government of Canada's
   International Polar Year Program, the Natural Sciences and Engineering
   Research Council of Canada, the Northern Scientific Training Program
   (Department of Indian Affairs and Northern Development), the Yukon
   Geological Survey, the Geological Survey of Canada and the Faculty of
   Arts, University of Ottawa. Field assistance for BTS measurements was
   provided by Julie Cossett, Paul Pearson, Katherine Henry and Chris
   Andrews while summer assistance with the pits and loggers was given by
   Dan Odell, Patty Bonnaventure, Jason Skucas, Andrea Sitler, Roland
   Bonnaventure, Megan James and Samantha Darling. We are grateful to the
   anonymous reviewers and Dr Julian Murton for their comments and to the
   latter for handling the review process as Associate Editor.
CR Bonnaventure PP, 2008, CAN J EARTH SCI, V45, P443, DOI 10.1139/E08-013
   Bonnaventure PP, 2011, CLIMATIC CHANGE, V105, P293, DOI 10.1007/s10584-010-9818-5
   Bonnaventure PP, COLD REGIONS S UNPUB
   Brenning A, 2005, PERMAFROST PERIGLAC, V16, P383, DOI 10.1002/ppp.541
   Brouchkov A, 2002, PERMAFROST PERIGLAC, V13, P187, DOI 10.1002/ppp.422
   Brown J., 1997, CIRCUM PACIFIC MAP, DOI [10.1016/j.jallcom.2010.03.054, DOI 10.1016/J.JALLCOM.2010.03.054]
   Cheng GD, 2007, PERMAFROST PERIGLAC, V18, P151, DOI 10.1002/ppp.575
   Department of Energy Mines and Resources Canada, 1974, CLIM YUK
   Dobinski W., 1998, Proceedings, Seventh International Conference on Permafrost, Yellowknife, June 23-27, 1998, P231
   Etzelmüller B, 2006, PERMAFROST PERIGLAC, V17, P91, DOI 10.1002/ppp.554
   Eyles N., 2007, Canada Rocks: The Geologic Journey, V1st
   French H.M., 1996, PERIGLACIAL ENV, Vsecond
   Gardaz JM, 1997, PERMAFROST PERIGLAC, V8, P101, DOI 10.1002/(SICI)1099-1530(199701)8:1<101::AID-PPP241>3.0.CO;2-X
   Geomatics Yukon, 2006, 30 MET YUK DIG EL MO
   Gruber S, 2001, PERMAFROST PERIGLAC, V12, P69, DOI 10.1002/ppp.374
   Haeberli W, 2006, PERMAFROST PERIGLAC, V17, P189, DOI 10.1002/ppp.561
   Heginbottom J., 1995, CANADA PERMAFROST MA, DOI [10.4095/294672, DOI 10.4095/294672]
   Hoelzle M, 1999, PERMAFROST PERIGLAC, V10, P113, DOI 10.1002/(SICI)1099-1530(199904/06)10:2<113::AID-PPP317>3.0.CO;2-A
   Hoelzle M., 1992, Permafrost Periglac, V3, P143, DOI DOI 10.1002/PPP.3430030212
   Imhof M, 2000, PERMAFROST PERIGLAC, V11, P189, DOI 10.1002/1099-1530(200007/09)11:3<189::AID-PPP348>3.0.CO;2-N
   Isaksen K., 2002, Norsk Geogr. Tidsskr, V56, P122, DOI DOI 10.1080/002919502760056459
   Ishikawa M, 2000, PERMAFROST PERIGLAC, V11, P109, DOI 10.1002/1099-1530(200004/06)11:2<109::AID-PPP343>3.0.CO;2-O
   Janke JR, 2005, EARTH SURF PROC LAND, V30, P1495, DOI 10.1002/esp.1205
   Janke JR, 2005, GEOMORPHOLOGY, V67, P375, DOI 10.1016/j.geomorph.2004.11.005
   Jeckel P.P., 1988, Proceedings of the Fifth International Conference on Permafrost, Trondheim, V1, P332
   Jorgenson T, 2008, C P 9 INT C PERM 29
   KING L, 1992, PERMAFROST AND PERIGLACIAL PROCESSES, VOL 3, NO 2, APR-JUN 1992, P73
   Kneisel C, 2007, PERMAFROST PERIGLAC, V18, P259, DOI 10.1002/ppp.593
   Kremer M, 2011, PERMAFROST PERIGLAC, V22, P163, DOI 10.1002/ppp.719
   Lewkowicz AG, 2004, PERMAFROST PERIGLAC, V15, P67, DOI 10.1002/ppp.480
   Lewkowicz AG, 2008, PERMAFROST PERIGLAC, V19, P49, DOI 10.1002/ppp.612
   Lewkowicz AG, 2011, PERMAFROST PERIGLAC, V22, P320, DOI 10.1002/ppp.703
   Lewkowicz AG, 2011, PERMAFROST PERIGLAC, V22, P153, DOI 10.1002/ppp.720
   Lugon R., 2001, Norsk geogr. Tidsskr, V55, P224
   Natural Resources Canada, 2010, FOR EC CAN
   Odegard R.S., 1996, Norsk geogr. Tidsskr, V53, P226, DOI DOI 10.1080/002919599420811
   Page A., 2009, THESIS U OTTAWA
   Riseborough D, 2008, PERMAFROST PERIGLAC, V19, P137, DOI 10.1002/ppp.615
   Romanovsky VE, 2010, PERMAFROST PERIGLAC, V21, P106, DOI 10.1002/ppp.689
   Smith SL, 2010, PERMAFROST PERIGLAC, V21, P117, DOI 10.1002/ppp.690
   Wahl H.E., 1987, Climate of Yukon
NR 41
TC 53
Z9 60
U1 0
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1045-6740
EI 1099-1530
J9 PERMAFROST PERIGLAC
JI Permafrost Periglacial Process.
PD JAN
PY 2012
VL 23
IS 1
BP 52
EP 68
DI 10.1002/ppp.1733
PG 17
WC Geography, Physical; Geology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA 906JL
UT WOS:000301341300005
DA 2025-01-10
ER

PT J
AU Hai, GH
   Chen, SS
   Xie, MH
   Li, CH
   Wang, Q
   Lu, Y
   Tang, Y
   Zhang, ZW
   Yang, GY
AF Hai, Guanghui
   Chen, Sisi
   Xie, Muhong
   Li, Chenhao
   Wang, Qian
   Lu, Ying
   Tang, Yan
   Zhang, Zhengwu
   Yang, Guiyan
TI Identification of <i>Olea europaea CBF/DREB1</i> Family Genes in
   Abnormal Temperature Stress Response
SO AGRONOMY-BASEL
LA English
DT Article
DE CBF/DREB1; Olea europaea; abnormal temperature stress
ID ENHANCES FREEZING TOLERANCE; TRANSCRIPTION FACTORS;
   ARABIDOPSIS-THALIANA; COLD; L.; EXPRESSION; DROUGHT; ELEMENT; CULTIVARS;
   JATROPHA
AB Olea europaea, native to the Mediterranean region, has been widely cultivated for the nutritional content of its fruits and leaves. To adapt to climates beyond the Mediterranean, research on the climatic adaptation of O. europaea is urgently needed. Therefore, in this study, the CBF/DREB1 family genes in olives, which are related to cold tolerance, were genome-wide characterized. In total, four OeCBFs were screened; their open reading frame (ORF) were 552 similar to 684 bp in length, the encoded proteins were 20,786.60 similar to 25,235.16 Da, with 183 similar to 227 amino acids, and the theoretical isoelectric point (pI) were 4.91 similar to 9.13. The transcription of four OeCBFs was significantly different in olive tissues, especially OeCBF2 and OeCBF4, which were substantially more highly-expressed in aboveground tissues (terminal buds, young leaves, old leaves, and stems) than in underground tissues (thick and fine roots). Exposed to cold stress, OeCBF2 and OeCBF4 were up-regulated more obviously in olive leaves and stems, while OeCBF3 was induced to higher levels in the roots, implying the adaptation potential of the OeCBFs to low temperature stress. A comparison of the expression of the four OeCBFs in two varieties, Picholine (more tolerant to the other one) and Arbequina, found that the expression of OeCBFs was higher in most tissues of Picholine than that of Arbequina. When exposed to cold stress, the expression of the OeCBFs was also higher in the leaves and roots of Picholine than in Arbequina, further confirming the correlation between OeCBFs and cold tolerance of olive trees. This study not only deepens our understanding of the CBF gene family in olives, but also provides significant genetic information for olive breeding and improvement.
C1 [Hai, Guanghui; Wang, Qian; Zhang, Zhengwu] Longnan Acad Nonwood Forest, Longnan 746000, Peoples R China.
   [Chen, Sisi; Xie, Muhong; Li, Chenhao; Lu, Ying; Tang, Yan; Yang, Guiyan] Northwest A&F Univ, Coll Forestry, Key Lab Econ Plant Resources Dev & Utilizat Shaanx, Yangling 712100, Peoples R China.
C3 Northwest A&F University - China
RP Zhang, ZW (corresponding author), Longnan Acad Nonwood Forest, Longnan 746000, Peoples R China.; Yang, GY (corresponding author), Northwest A&F Univ, Coll Forestry, Key Lab Econ Plant Resources Dev & Utilizat Shaanx, Yangling 712100, Peoples R China.
EM higuanghi@126.com; chensisi1114@nwafu.edu.cn;
   xiemuhong2018@nwafu.edu.cn; lichenhao@nwafu.edu.cn;
   wangqian132135@sina.com; yinglu@nwafu.edu.cn; tangyan7856@nwafu.edu.cn;
   gslnzzw@163.com; yangguiyan@nwsuaf.edu.cn
RI chen, sisi/KMA-2807-2024
FU Technology Innovation Guide Project [22CX8NK243]; Technology Innovation
   Guide Project of Gansu Province, China [2024]; Top-notch talent project
   in Gansu Province, China
FX This research was funded by Technology Innovation Guide Project of Gansu
   Province, China (22CX8NK243) and Top-notch talent project in Gansu
   Province, China (2024).
CR Acar-Tek N, 2020, ANN NUTR METAB, V76, P10, DOI 10.1159/000505508
   Agarwal PK, 2006, PLANT CELL REP, V25, P1263, DOI 10.1007/s00299-006-0204-8
   Alkhatib A, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19072024
   An D, 2016, FRONT PLANT SCI, V7, DOI [10.3389/fpls.2016.01866, 10.3389/fpls.2016.02055]
   Arenas-Castro S, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136161
   Banco A, 2021, J SCI FOOD AGR, V101, P518, DOI 10.1002/jsfa.10660
   Besnard G, 2018, ANN BOT-LONDON, V121, P385, DOI 10.1093/aob/mcx145
   Bilal RM, 2021, FRONT PHARMACOL, V12, DOI 10.3389/fphar.2021.723040
   Caccialupi G, 2023, CELLS-BASEL, V12, DOI 10.3390/cells12222606
   Cansev A, 2011, HORTIC ENVIRON BIOTE, V52, P113, DOI 10.1007/s13580-011-0126-4
   Cruz F, 2016, GIGASCIENCE, V5, DOI 10.1186/s13742-016-0134-5
   Fatima M, 2024, SCI REP-UK, V14, DOI 10.1038/s41598-024-68965-9
   Gao JH, 2013, INT J AGRIC BIOL, V15, P871
   Gomez-del-Campo M., 2005, Plant Genetic Resources Characterization and Utilization, V3, P385, DOI 10.1079/PGR200592
   Guo J, 2019, PEERJ, V7, DOI 10.7717/peerj.8190
   Hu Z, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.00921
   Huang B, 2006, BIOCHEM BIOPH RES CO, V343, P1023, DOI 10.1016/j.bbrc.2006.03.016
   Hwarari D, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23031549
   Jaglo KR, 2001, PLANT PHYSIOL, V127, P910, DOI 10.1104/pp.010548
   Jiang BC, 2020, MOL PLANT, V13, P894, DOI 10.1016/j.molp.2020.04.006
   Jung WJ, 2019, GENE, V684, P82, DOI 10.1016/j.gene.2018.10.055
   Karimi M, 2015, SCI HORTIC-AMSTERDAM, V197, P521, DOI 10.1016/j.scienta.2015.10.011
   Kiss T, 2024, PLANT METHODS, V20, DOI 10.1186/s13007-024-01198-z
   Kole C, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00563
   Kume S, 2005, GENES GENET SYST, V80, P185, DOI 10.1266/ggs.80.185
   Lata C, 2011, J EXP BOT, V62, P4731, DOI 10.1093/jxb/err210
   Lescot M, 2002, NUCLEIC ACIDS RES, V30, P325, DOI 10.1093/nar/30.1.325
   Li M, 2022, HORTIC RES-ENGLAND, V9, DOI 10.1093/hr/uhac002
   Li W, 2020, BMC EVOL BIOL, V20, DOI 10.1186/s12862-020-01710-8
   Lins PG, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00805
   Liu HT, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24097893
   Livak KJ, 2001, METHODS, V25, P402, DOI 10.1006/meth.2001.1262
   Lu X, 2017, PLANT PHYSIOL BIOCH, V113, P78, DOI 10.1016/j.plaphy.2017.02.002
   Meireles ACA, 2009, CURR OPIN GENET DEV, V19, P565, DOI 10.1016/j.gde.2009.10.006
   Mizoi J, 2012, BBA-GENE REGUL MECH, V1819, P86, DOI 10.1016/j.bbagrm.2011.08.004
   Ozturk M, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11020295
   Palomo-Ríos E, 2021, GENES-BASEL, V12, DOI 10.3390/genes12030386
   Park S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-62458-1
   Rao GD, 2021, HORTIC RES-ENGLAND, V8, DOI 10.1038/s41438-021-00498-y
   Rao GD, 2019, FOOD CHEM, V300, DOI 10.1016/j.foodchem.2019.125246
   Romani A, 2019, NUTRIENTS, V11, DOI 10.3390/nu11081776
   Rushton PJ, 2008, PLANT PHYSIOL, V147, P280, DOI 10.1104/pp.107.114041
   Sakuma Y, 2002, BIOCHEM BIOPH RES CO, V290, P998, DOI 10.1006/bbrc.2001.6299
   Sanna F, 2024, J ECON ENTOMOL, V117, P1336, DOI 10.1093/jee/toae126
   Shi YT, 2018, TRENDS PLANT SCI, V23, P623, DOI 10.1016/j.tplants.2018.04.002
   Simos YV, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11030770
   Stockinger EJ, 1997, P NATL ACAD SCI USA, V94, P1035, DOI 10.1073/pnas.94.3.1035
   Wang JW, 2018, SCI HORTIC-AMSTERDAM, V236, P106, DOI 10.1016/j.scienta.2018.03.033
   Wang L, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23169439
   Wang LH, 2015, MOL BIOL REP, V42, P937, DOI 10.1007/s11033-014-3831-0
   Wang QY, 2008, PLANT MOL BIOL, V67, P589, DOI 10.1007/s11103-008-9340-6
   Wang R, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.1042889
   Wang YP, 2012, NUCLEIC ACIDS RES, V40, DOI 10.1093/nar/gkr1293
   Wu CH, 2019, J PHYCOL, V55, P738, DOI 10.1111/jpy.12854
   Xiao H, 2006, PLANT CELL ENVIRON, V29, P1410, DOI 10.1111/j.1365-3040.2006.01524.x
   Yang XY, 2020, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.01026
   Yu Q, 2020, PEERJ, V8, DOI 10.7717/peerj.9269
   Zhang XC, 2022, PLANT SCI, V325, DOI 10.1016/j.plantsci.2022.111463
   Zhao Q.H., 2023, J. Zhejiang Agric. Sci, V64, P2385, DOI [10.16178/j.issn.0528-9017.20230046, DOI 10.16178/J.ISSN.0528-9017.20230046]
   Zhou L, 2020, PLANT BIOLOGY, V22, P450, DOI 10.1111/plb.13095
   Zhuang LL, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132928
NR 61
TC 0
Z9 0
U1 6
U2 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD NOV
PY 2024
VL 14
IS 11
AR 2593
DI 10.3390/agronomy14112593
PG 15
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA N8Q9A
UT WOS:001366923400001
OA gold
DA 2025-01-10
ER

PT J
AU Arshad, A
   Mirchi, A
   Taghvaeian, S
   Aghakouchak, A
AF Arshad, Arfan
   Mirchi, Ali
   Taghvaeian, Saleh
   Aghakouchak, Amir
TI Downscaled-GRACE Data Reveal Anthropogenic and Climate-Induced Water
   Storage Decline Across the Indus Basin
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE GRACE; terrestrial water storage; spatial downscaling; general additive
   model; anthropogenic decline; Indus Basin
ID GROUNDWATER; MODEL; RIVER; ASIA
AB GRACE (Gravity Recovery and Climate Experiment) has been widely used to evaluate terrestrial water storage (TWS) and groundwater storage (GWS). However, the coarse-resolution of GRACE data has limited the ability to identify local vulnerabilities in water storage changes associated with climatic and anthropogenic stressors. This study employs high-resolution (1 km2) GRACE data generated through machine learning (ML) based statistical downscaling to illuminate TWS and GWS dynamics across twenty sub-regions in the Indus Basin. Monthly TWS and GWS anomalies obtained from a geographically weighted random forest (RFgw) model maintained good consistency with original GRACE data at the 25 km2 grid scale. The downscaled data at 1 km2 resolution illustrate the spatial heterogeneity of TWS and GWS depletion within each sub-region. Comparison with in-situ GWS from 2,200 monitoring wells shows that downscaling of GRACE data significantly improves agreement with in-situ data, evidenced by higher Kling-Gupta Efficiency (0.50-0.85) and correlation coefficients (0.60-0.95). Hotspots with the highest TWS and GWS decline rate between 2002 and 2023 were Dehli Doab (-442, -585 mm/year), BIST Doab (-367, -556 mm/year), Rajasthan (-242, -381 mm/year), and BARI (-188, -333 mm/year). Based on a general additive model, 47%-83% of the TWS decline was associated with anthropogenic stressors mainly due to increasing trends of crop sown area, water consumption, and human settlements. The decline rate of TWS and GWS anomalies was lower (i.e., -25 to -75 mm/year) in upstream sub-regions (e.g., Yogo, Gilgit, Khurmong, Kabul) where climatic factors (downward shortwave radiations, air temperature, and sea surface temperature) explained 72%-91% of TWS/GWS changes. The relative influences of climatic and anthropogenic stressors varied across sub-regions, underscoring the complex interplay of natural-human activities in the basin. These findings inform place-based water resource management in the Indus Basin by advancing the understanding of local vulnerabilities.
   We used GRACE data to understand how water storage has changed over time across the Indus Basin at a resolution of 1 square kilometer. We generated the new high-resolution data using machine learning techniques that implemented statistical methods. The new data for analyzing water storage matched well with the original data on a larger scale. Additionally, comparing this detailed data with measurements from 2,200 wells showed that our new method works well. The new high-resolution data help us detect hotspots of water storage decline where water availability may face challenges in the future if status quo continues. Human activities like more farming, using more water, and building more areas for people to live are a major driver of the water storage decline. In upstream areas less influenced by human impacts, the decline is driven more by climatic factors. By improving understanding of local vulnerabilities, our study supports planning interventions for specific regions based on the need to reduce the impact of human activities or adapt to climate change.
   Terrestrial water storage (TWS)/groundwater storage (GWS) derived from downscaled GRACE data show a declining trend across most sub-regions of the Indus Basin between 2002 and 2023 Anthropogenic stressors explain 47%-83% of TWS decline in the majority of sub-regions TWS/GWS changes in upstream sub-regions, where shortwave radiations mainly control the TWS changes, are well explained by climatic factors
C1 [Arshad, Arfan; Mirchi, Ali] Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74077 USA.
   [Arshad, Arfan] Univ Agr Faisalabad, Fac Agr Engn & Technol, Dept Irrigat & Drainage, Faisalabad, Pakistan.
   [Taghvaeian, Saleh] Univ Nebraska, Dept Biol Syst Engn, Lincoln, NE USA.
   [Aghakouchak, Amir] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA.
   [Aghakouchak, Amir] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA.
C3 Oklahoma State University System; Oklahoma State University -
   Stillwater; University of Agriculture Faisalabad; University of Nebraska
   System; University of Nebraska Lincoln; University of California System;
   University of California Irvine; University of California System;
   University of California Irvine
RP Mirchi, A (corresponding author), Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74077 USA.
EM amirchi@okstate.edu
RI AghaKouchak, Amir/ABH-2495-2022; Arshad, Arfan/JFS-3712-2023;
   Taghvaeian, Saleh/LQJ-5247-2024
OI AghaKouchak, Amir/0000-0003-4689-8357
FU National Science Foundation (NSF) United States [2114701]
FX The authors acknowledge funding from the National Science Foundation
   (NSF Award 2114701) of the United States. Constructive comments from
   three anonymous reviewers are gratefully acknowledged. The downscaling
   code was developed in R programming and is available upon request. Any
   opinions, findings, conclusions, or recommendations expressed in this
   publication are solely those of the authors.
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Akhtar F, 2022, J HYDROL, V605, DOI 10.1016/j.jhydrol.2021.127369
   Akhter G, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179686
   Ali S, 2024, GROUNDWATER SUST DEV, V25, DOI 10.1016/j.gsd.2024.101100
   Ali S, 2024, SCI TOTAL ENVIRON, V908, DOI 10.1016/j.scitotenv.2023.168239
   Ali S, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15040873
   Ali S, 2022, J HYDROL, V612, DOI 10.1016/j.jhydrol.2022.128295
   Ali S, 2022, J HYDROL, V605, DOI 10.1016/j.jhydrol.2021.127315
   Ali S, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13173513
   [Anonymous], 1997, CCGCR Rep
   Arshad A, 2024, J HYDROL, V628, DOI 10.1016/j.jhydrol.2023.130535
   Arshad A, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156044
   Arshad A, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.147140
   Ashraf S, 2022, GROUNDWATER SUST DEV, V17, DOI 10.1016/j.gsd.2022.100743
   Asoka A, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD032470
   Becker M, 2010, CR GEOSCI, V342, P223, DOI 10.1016/j.crte.2009.12.010
   Belgiu M, 2016, ISPRS J PHOTOGRAMM, V114, P24, DOI 10.1016/j.isprsjprs.2016.01.011
   Bolaos Chavarra S., 2021, Hydrology and Earth System Sciences Discussions, V2021, P1
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Chen L, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11242979
   Chen ZW, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13234760
   Ciracì E, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL086926
   Cleveland RB, 1990, J. Off. Stat, V6, P3
   Dahri ZH, 2021, SCI TOTAL ENVIRON, V768, DOI 10.1016/j.scitotenv.2020.144467
   Famiglietti JS, 2004, GEOPHYS MONOGR SER, V150, P197, DOI 10.1029/150GM16
   Felfelani F, 2017, J HYDROL, V553, P105, DOI 10.1016/j.jhydrol.2017.07.048
   Georganos S, 2022, ISPRS INT J GEO-INF, V11, DOI 10.3390/ijgi11090471
   Georganos S, 2021, GEOCARTO INT, V36, P121, DOI 10.1080/10106049.2019.1595177
   Ghorbanpour AK, 2021, J HYDROL, V596, DOI 10.1016/j.jhydrol.2021.126055
   Giese A, 2022, FRONT EARTH SC-SWITZ, V10, DOI 10.3389/feart.2022.767411
   Girotto M, 2019, EXTREME HYDROCLIMATIC EVENTS AND MULTIVARIATE HAZARDS IN A CHANGING ENVIRONMENT: A REMOTE SENSING APPROACH, P41, DOI 10.1016/B978-0-12-814899-0.00002-X
   Guo LL, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126419
   HIRSCH RM, 1984, WATER RESOUR RES, V20, P727, DOI 10.1029/WR020i006p00727
   Hong ZK, 2021, J HYDROMETEOROL, V22, P1275, DOI 10.1175/JHM-D-20-0252.1
   Humphrey V, 2018, NATURE, V560, P628, DOI 10.1038/s41586-018-0424-4
   Hussain D, 2020, IEEE ACCESS, V8, P65327, DOI 10.1109/ACCESS.2020.2984794
   Hussain D, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19030531
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Iqbal N, 2016, IEEE J-STARS, V9, P3524, DOI 10.1109/JSTARS.2016.2574378
   Jabeen M, 2020, MODEL EARTH SYST ENV, V6, P1633, DOI 10.1007/s40808-020-00779-w
   Janjua S, 2020, WATER POLICY, V22, P789, DOI 10.2166/wp.2020.109
   Jimnez . B., 2008, Innovations in hybrid intelligent systems, P120
   Joshi SK, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126492
   Khan S. I., 2019, Indus River Basin: Water security and sustainability
   Khattak JA, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.151353
   Khorrami B, 2023, HYDROL PROCESS, V37, DOI 10.1002/hyp.15034
   Khorrami B, 2023, HYDROL PROCESS, V37, DOI 10.1002/hyp.14893
   Kumar A, 2022, ADV WATER RESOUR, V165, DOI 10.1016/j.advwatres.2022.104212
   Landerer FW, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011453
   Lehner B, 2013, HYDROL PROCESS, V27, P2171, DOI 10.1002/hyp.9740
   Li BL, 2019, WATER RESOUR RES, V55, P7564, DOI 10.1029/2018WR024618
   Li BL, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-47219-z
   Li QQ, 2021, J HYDROL, V595, DOI 10.1016/j.jhydrol.2020.125652
   Li W, 2019, IEEE J-STARS, V12, P2299, DOI 10.1109/JSTARS.2019.2896923
   Li XY, 2022, NAT CLIM CHANGE, V12, P801, DOI 10.1038/s41558-022-01443-0
   Li XY, 2019, WATER RESOUR RES, V55, P8608, DOI 10.1029/2019WR025196
   Liu K, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1ed8
   Long D, 2017, REMOTE SENS ENVIRON, V192, P198, DOI 10.1016/j.rse.2017.02.011
   Luo YW, 2021, ENVIRON SCI POLLUT R, V28, P6587, DOI 10.1007/s11356-020-10962-2
   Ma T, 2012, REMOTE SENS ENVIRON, V124, P99, DOI 10.1016/j.rse.2012.04.018
   Margariti J, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.365
   McNally A, 2022, EARTH SYST SCI DATA, V14, P3115, DOI 10.5194/essd-14-3115-2022
   McNally A, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.12
   Mehmood K, 2024, ECOHYDROLOGY, V17, DOI 10.1002/eco.2624
   Mehmood K, 2022, WATER-SUI, V14, DOI 10.3390/w14203254
   Mets KD, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1824
   Moradkhani H, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003604
   Muhammad S, 2019, J HYDROL, V574, P467, DOI 10.1016/j.jhydrol.2019.04.057
   Mukherjee A, 2015, J HYDROL-REG STUD, V4, P1, DOI 10.1016/j.ejrh.2015.03.005
   Muzammil M, 2020, WATER-SUI, V12, DOI 10.3390/w12051429
   O'Sullivan D, 2003, GEOGR ANAL, V35, P272, DOI 10.1111/j.1538-4632.2003.tb01114.x
   Perkl RM, 2017, J ENVIRON PLANN MAN, V60, P92, DOI 10.1080/09640568.2016.1142863
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Quiñones S, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-85381-5
   Rahman K. U., 2023, Natural Hazards and Earth System Sciences Discussions, V2023, P1
   Reager JT, 2014, NAT GEOSCI, V7, P589, DOI [10.1038/NGEO2203, 10.1038/ngeo2203]
   Rodell M, 2018, NATURE, V557, P650, DOI 10.1038/s41586-018-0123-1
   Sabzehee F, 2023, J ENVIRON MANAGE, V330, DOI 10.1016/j.jenvman.2022.117180
   Saleem F, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14092152
   Saleem F, 2021, ATMOS RES, V250, DOI 10.1016/j.atmosres.2020.105407
   Save H, 2016, J GEOPHYS RES-SOL EA, V121, P7547, DOI 10.1002/2016JB013007
   Scanlon BR, 2019, GEOPHYS RES LETT, V46, P5254, DOI 10.1029/2018GL081836
   Scanlon BR, 2018, P NATL ACAD SCI USA, V115, pE1080, DOI 10.1073/pnas.1704665115
   Scanlon BR, 2016, WATER RESOUR RES, V52, P9412, DOI 10.1002/2016WR019494
   Schmidt AH, 2020, EARTH PLANET SC LETT, V546, DOI 10.1016/j.epsl.2020.116415
   Schmied HM, 2021, GEOSCI MODEL DEV, V14, P1037, DOI 10.5194/gmd-14-1037-2021
   Senay GB, 2018, APPL ENG AGRIC, V34, P555, DOI 10.13031/aea.12614
   Senay GB, 2007, SENSORS-BASEL, V7, P979, DOI 10.3390/s7060979
   Shafeeque M, 2023, NAT HAZARDS, V115, P2721, DOI 10.1007/s11069-022-05661-9
   Shafeeque M, 2021, J HYDROL, V599, DOI 10.1016/j.jhydrol.2021.126466
   Shrestha A, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124264
   Skofronick-Jackson G, 2018, SPRING REMOTE SENS P, P175, DOI 10.1007/978-3-319-72583-3_7
   Smolenaars WJ, 2022, HYDROL EARTH SYST SC, V26, P861, DOI 10.5194/hess-26-861-2022
   Sun ZL, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR026250
   Syed FS, 2010, INT J CLIMATOL, V30, P220, DOI 10.1002/joc.1887
   Tang Y, 2017, J HYDROL, V551, P397, DOI 10.1016/j.jhydrol.2017.06.021
   Tapley BD, 2019, NAT CLIM CHANGE, V9, P358, DOI 10.1038/s41558-019-0456-2
   Theil H., 1950, Indagationes Mathematicae, V12, P173, DOI DOI 10.1007/978-94-011-2546-8_20
   Velicogna I, 2014, GEOPHYS RES LETT, V41, P8130, DOI 10.1002/2014GL061052
   Vinca A, 2021, NAT SUSTAIN, V4, P331, DOI 10.1038/s41893-020-00654-7
   Vishwakarma BD, 2021, SCI DATA, V8, DOI 10.1038/s41597-021-00862-6
   Wahr J, 1998, J GEOPHYS RES-SOL EA, V103, P30205, DOI 10.1029/98JB02844
   Wang JR, 2020, J HYDROL, V584, DOI 10.1016/j.jhydrol.2020.124652
   Wang MH, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126913
   Wang MH, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125384
   Wang QR, 2020, J HYDROL, V586, DOI 10.1016/j.jhydrol.2020.124875
   Watkins MM, 2015, J GEOPHYS RES-SOL EA, V120, P2648, DOI 10.1002/2014JB011547
   Wiese DN, 2016, WATER RESOUR RES, V52, P7490, DOI 10.1002/2016WR019344
   Woolmer G, 2008, LANDSCAPE URBAN PLAN, V87, P42, DOI 10.1016/j.landurbplan.2008.04.005
   Xu YY, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125229
   Yang XL, 2014, J ARID LAND, V6, P678, DOI 10.1007/s40333-014-0026-4
   Yin WJ, 2022, HYDROGEOL J, V30, P947, DOI 10.1007/s10040-021-02447-4
   Zhang JX, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13030523
   Zhang X, 2022, CATENA, V219, DOI 10.1016/j.catena.2022.106598
   Zhao FY, 2022, REMOTE SENS ENVIRON, V270, DOI 10.1016/j.rse.2021.112853
   Zhu Y, 2021, SCI TOTAL ENVIRON, V799, DOI 10.1016/j.scitotenv.2021.149366
NR 116
TC 4
Z9 4
U1 31
U2 31
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 JUL
PY 2024
VL 60
IS 7
AR e2023WR035882
DI 10.1029/2023WR035882
PG 25
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA YU6L6
UT WOS:001271037900001
OA hybrid
DA 2025-01-10
ER

PT C
AU Xue, F
   Lau, SSY
AF Xue, Fei
   Lau, Stephen Siu Yu
BE Wong, NH
   Jusuf, SK
TI Climate-adaptive Urban Open Space Design Strategy in Workplace for
   Comfort and Health-Case in Hong Kong and Singapore
SO FOURTH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLAND,
   (UHI 2016)
SE Procedia Engineering
LA English
DT Proceedings Paper
CT 4th International Conference on Countermeasures to Urban Heat Island
   (UHI)
CY MAY 30-JUN 01, 2016
CL Singapore, SINGAPORE
SP Natl Univ Singapore, Dept Bldg
DE Microclimate; site configuration; health perception; design strategy
AB In recent years, accompanied by the massive increased urban population density and the compact built environment, the challenge lies in Asian metropolis has evoked the promotion of human health and well-being. This paper aims to deliver the authors' intention to evaluate the performance of diverse site configuration in the field of urban open space under the tropical and subtropical Asian climatic conditions. The empirical study was conducted in Hong Kong and Singapore in 2015 by the approach of objective environment assessment and perceived health survey. The research findings postulated two paradigms in climate-adaptive design strategy: 1) the precise composition of urban canopy directly impacts the thermal comfort of urban open space; and 2) the comprehensive site configuration significantly influences the personal evaluation of health perception. Based on the above findings, a framework is conceptualized as an attempt to strengthen the climate-adaptive open space design strategy. (C) 2016 The Authors. Published by Elsevier Ltd.
C1 [Xue, Fei] Univ Hong Kong, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.
   [Lau, Stephen Siu Yu] Natl Univ Singapore, 4 Architecture Dr, Singapore, Singapore.
C3 University of Hong Kong; National University of Singapore
RP Xue, F (corresponding author), Univ Hong Kong, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.
EM fiona404@hku.hk
CR [Anonymous], 2015, Int. J. High-Rise Build
   [Anonymous], 2014, DEMOGR RES
   Guay R, 2014, WINSCANOPY MANUAL VE
   [HKSARG Department C. A. S], 2015, HONG KONG FACT SHEET
   Ho KH, 2014, DEV LANDSCAPE GUIDEL
   Kaplan R, 2011, APPL PSYCHOL-HLTH WE, V3, P304, DOI 10.1111/j.1758-0854.2011.01055.x
   OKE TR, 1981, J CLIMATOL, V1, P237, DOI 10.1002/joc.3370010304
   OKE TR, 1988, ENERG BUILDINGS, V11, P103, DOI 10.1016/0378-7788(88)90026-6
   Ong BL, 2003, LANDSCAPE URBAN PLAN, V63, P197, DOI 10.1016/S0169-2046(02)00191-3
   Sarkar C., 2014, HLTH CITIES PUBLIC H
   [SGGOV Statistics D. O], 2014, POP TRENDS 2014
   Yang F., 2009, ARCHITECTURE
   Yang F, 2011, BUILD ENVIRON, V46, P769, DOI 10.1016/j.buildenv.2010.10.010
   Yang F, 2010, BUILD ENVIRON, V45, P115, DOI 10.1016/j.buildenv.2009.05.010
NR 14
TC 6
Z9 6
U1 3
U2 16
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1877-7058
J9 PROCEDIA ENGINEER
PY 2016
VL 169
BP 332
EP 339
DI 10.1016/j.proeng.2016.10.041
PG 8
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering
GA BG7QB
UT WOS:000391608100041
OA gold
DA 2025-01-10
ER

PT J
AU Yamin, F
   Huq, S
   Rahman, A
AF Yamin, F
   Huq, S
   Rahman, A
TI Developing the linking climate adaptation network: Progress and
   prospects
SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES
LA English
DT Article
AB This article provides a brief overview of the rationale, functioning and future plans of the Linking Climate Adaptation Network which was one of the final components; of the DFID-funded Linking Climate Adaptation (LCA) Project. The core objective for the Network was to assist communities and adaptation experts share theoretical, policy and experiential knowledge to support community-led adaptation in developing countries. For many reasons, communities are not well connected to formal scientific and policy processes. Knowledge system approaches that analyse how knowledge and information is generated, shared, negotiated and transformed into policy partly explain why the knowledge, preferences and perspectives of the poor are not fully taken into account. Allowing geographically dispersed communities with fewer resources to communicate better "upwards" with those engaged in formal scientific and policy responses was thus considered an important objective of the LCA Project. This article sets out how this objective was achieved through the LCA Network by explaining the rationale for the Network, its current operation and plans for its further elaboration.
NR 0
TC 1
Z9 1
U1 1
U2 4
PU INST DEVELOPMENT STUDIES
PI BRIGHTON
PA UNIV SUSSEX, BRIGHTON BN1 9RE, E SUSSEX, ENGLAND
SN 0265-5012
J9 IDS BULL-I DEV STUD
JI IDS Bull.-Inst. Dev. Stud.
PD OCT
PY 2005
VL 36
IS 4
BP 123
EP +
DI 10.1111/j.1759-5436.2005.tb00239.x
PG 4
WC Area Studies; Development Studies
WE Social Science Citation Index (SSCI)
SC Area Studies; Development Studies
GA 989QD
UT WOS:000233687900010
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Ji, T
   Li, GS
AF Ji, Tao
   Li, Guosheng
TI Contemporary monitoring of storm surge activity
SO PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT
LA English
DT Article
DE Storm surge; spatial and temporal variability; monitoring; recent
   progress; future trends
ID SEA-LEVEL RISE; COASTAL EROSION; ALTIMETER DATA; NORTH-SEA; SATELLITE
   ALTIMETRY; DATA ASSIMILATION; HURRICANE WAVES; DISASTER; PREDICTION;
   INTENSITY
AB There is growing interest in storm surge activity related to catastrophic events and their unintended consequences in terms of casualties and damage around the world and in increasing populations and issues along coastal areas in the context of global warming and rising sea levels. Accordingly, knowledge on storm surge monitoring has progressed significantly in recent years, and this review, focused on monitoring the spatial and temporal variability of storm surges, responds to the need for a synthesis. Three main components are presented in the review: (1) monitoring storm surges from the viewpoint of three effective approaches; (2) understanding the challenges faced by the three monitoring approaches to increase our awareness of monitoring storm surges; (3) identifying three research priorities and orientations to provide new ideas in future storm surge monitoring. From the perspective of monitoring approaches, recent progress was achieved with respect to tide gauges, satellite altimetry and numerical simulation. Storm surge events can nowadays be identified accurately, and the surge heights can be calculated based on long-term tide gauge observations. The changing frequency and intensity of storm surge activity, combined with statistical analysis and climatology, can be used to enable a better understanding of the possible regional or global long-term trends. Compared with tidal observation data, satellite altimetry has the advantage of providing offshore sea level information to an accuracy of 10 cm. In addition, satellite altimetry can provide more effective observations for studying storm surges, such as transient surge data of the deep ocean. Simultaneously, the study of storm surges via numerical simulation has been further developed, mainly reflected in the gradual improvement of simulation accuracy but also in the refinement of comprehensive factors affecting storm surge activity. However, from the above approaches, storm surge activity monitoring cannot fully reflect the spatial and temporal variability of storm surges, especially the spatial changes at a regional or global scale. In particular, compared to global storm surge, tide gauges and satellite altimeters are relatively sparse, and the spatial distribution is extremely uneven, which often seriously restricts the overall understanding of the spatial distribution features of storm surge activity. Numerical models can be used as a tool to overcome the above-mentioned shortcomings for storm surge monitoring, as they provide real-time spatiotemporal features of storm surge events. But long-term numerical hindcast of tides and surges requires an extremely high computational effort. Considering the shortcomings of the above approaches and the impact of climate change, there is no clear approach to remedy the framework for studying the spatial and temporal characteristics of global or regional storm surge activity at a climatic scale. Therefore, we show how new insights or techniques are useful for the monitoring of future crises. This work is especially important in planning efforts by policymakers, coastal managers, civil protection managers and the general public to adapt to climate change and rising sea levels.
C1 [Ji, Tao; Li, Guosheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Ji, Tao] Univ Chinese Acad Sci, Beijing, 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 Li, GS (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM ligs@igsnrr.ac.cn
OI ji, tao/0000-0002-6157-2606
FU National Natural Science Foundation of China [41871026, 41571041]
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: This
   research was supported by the National Natural Science Foundation of
   China [grant numbers 41871026, 41571041].
CR Anderson TR, 2015, NAT HAZARDS, V78, P75, DOI 10.1007/s11069-015-1698-6
   [Anonymous], 2011, COASTAL ALTIMETRY
   [Anonymous], 2016, J FLOOD RISK MANAGEM, DOI DOI 10.1111/JFR3.12252
   Antony C, 2014, ESTUAR COAST SHELF S, V151, P131, DOI 10.1016/j.ecss.2014.09.012
   Appendini CM, 2015, AGU FALL M
   Arns A, 2013, COAST ENG, V81, P51, DOI 10.1016/j.coastaleng.2013.07.003
   Aschariyaphotha N, 2011, APPL MATH COMPUT, V217, P8640, DOI 10.1016/j.amc.2011.03.105
   Bajo M, 2017, EGU GEN ASS C 19 EGU, P8310
   Bajo M, 2017, OCEAN MODEL, V113, P85, DOI 10.1016/j.ocemod.2017.03.014
   Barbosa S, 2010, EGU GEN ASSEMBLY, V12, P9905
   Bilskie MV, 2016, EARTHS FUTURE, V4, P177, DOI 10.1002/2015EF000347
   Bromirski PD, 2017, J GEOPHYS RES-OCEANS, V122, P441, DOI 10.1002/2016JC012178
   Burston JM, 2014, OCEANS, P1
   Butler A, 2007, J MARINE SYST, V67, P189, DOI 10.1016/j.jmarsys.2006.10.006
   Camus P, 2014, OCEAN DYNAM, V64, P1025, DOI 10.1007/s10236-014-0737-2
   Canestrelli E, 2007, IEEE IJCNN, P1813, DOI 10.1109/IJCNN.2007.4371233
   Ceres RL, 2017, CLIMATIC CHANGE, V145, P221, DOI 10.1007/s10584-017-2075-0
   Chaudhuri S, 2015, NAT HAZARDS, V75, P1369, DOI 10.1007/s11069-014-1376-0
   Chen N, 2014, J GEOPHYS RES-OCEANS, V119, P4542, DOI 10.1002/2013JC009782
   Cheng YC, 2012, ADV SPACE RES, V50, P1099, DOI 10.1016/j.asr.2011.11.016
   Cid A, 2018, J GEOPHYS RES-OCEANS, V123, P437, DOI 10.1002/2017JC013143
   Cid A, 2017, GLOBAL PLANET CHANGE, V148, P9, DOI 10.1016/j.gloplacha.2016.11.006
   Cid A, 2016, CLIM DYNAM, V46, P1503, DOI 10.1007/s00382-015-2659-1
   De Biasio F, 2017, IEEE J SEL TOP QUANT, V9, P5089
   De Biasio F, 2017, EUR J REMOTE SENS, V50, P428, DOI 10.1080/22797254.2017.1350558
   Deodatis G., 2015, THESIS
   Dietrich JC, 2012, J SCI COMPUT, V52, P468, DOI 10.1007/s10915-011-9555-6
   Dietrich JC, 2011, MON WEATHER REV, V139, P2488, DOI 10.1175/2011MWR3611.1
   Dietrich JC, 2011, COAST ENG, V58, P45, DOI 10.1016/j.coastaleng.2010.08.001
   DOLAN R, 1992, J COASTAL RES, V8, P840
   Dolan R., 1994, J COASTAL RES SI, V12, P103
   Dong S, 2016, IEEE T ENERGY CONVER, P1
   Durand M, 2010, IEEE J-STARS, V3, P20, DOI 10.1109/JSTARS.2009.2033453
   Dussurget R, 2011, MAR GEOD, V34, P447, DOI 10.1080/01490419.2011.584835
   Escudier R, 2013, GEOPHYS RES LETT, V40, P2148, DOI 10.1002/grl.50324
   Feng JL, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-29712-z
   Feng LH, 2008, NAT HAZARDS, V45, P11, DOI 10.1007/s11069-007-9149-7
   Ferreira CM, 2014, J AM WATER RESOUR AS, V50, P219, DOI 10.1111/jawr.12127
   Fu L, 2005, MED MALADIES INFECT, V5, P181
   Fu LL, 2004, GEOPHYS MONOGR SER, V150, P209, DOI 10.1029/150GM17
   Fu WW, 2009, OCEAN MODEL, V26, P206, DOI 10.1016/j.ocemod.2008.10.002
   Gill S., 2015, PHYS TODAY, V68, P56
   Gönnert G, 2004, NAT HAZARDS, V32, P211, DOI 10.1023/B:NHAZ.0000031314.21789.f2
   Guo YK, 2009, ESTUAR COAST SHELF S, V85, P530, DOI 10.1016/j.ecss.2009.09.021
   Haigh I, 2010, CONT SHELF RES, V30, P1042, DOI 10.1016/j.csr.2010.02.002
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Han GQ, 2017, REMOTE SENS ENVIRON, V198, P244, DOI 10.1016/j.rse.2017.06.005
   Han GQ, 2012, SCI REP-UK, V2, DOI 10.1038/srep01010
   Hirose N, 2005, DEEP-SEA RES PT II, V52, P1443, DOI 10.1016/j.dsr2.2004.09.034
   Hope ME, 2013, J GEOPHYS RES-OCEANS, V118, P4424, DOI 10.1002/jgrc.20314
   Hoque MAA, 2017, INT J DISAST RISK RE, V22, P345, DOI 10.1016/j.ijdrr.2017.02.008
   Hoyer JL, 2003, J GEOPHYS RES-OCEANS, V108, DOI 10.1029/2002JC001601
   Hu KL, 2018, COAST ENG, V132, P63, DOI 10.1016/j.coastaleng.2017.11.001
   Kharin VV, 2018, EARTHS FUTURE, V6, P704, DOI 10.1002/2018EF000813
   Kim SY, 2008, APPL OCEAN RES, V30, P311, DOI 10.1016/j.apor.2009.02.003
   Knabb R.D., 2005, TROPICAL CYCLONE REP
   Kumagai K, 2016, COAST ENG J, V58, DOI 10.1142/S0578563416400015
   Lane EM, 2009, OCEAN MODEL, V28, P88, DOI 10.1016/j.ocemod.2008.11.004
   Lee HS, 2013, J GEOPHYS RES-OCEANS, V118, P4273, DOI 10.1002/jgrc.20310
   Lee TL, 2006, OCEAN ENG, V33, P483, DOI 10.1016/j.oceaneng.2005.04.012
   Li XH, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10040657
   List JH, 1997, MAR GEOL, V140, P347, DOI 10.1016/S0025-3227(97)00035-2
   Liu QR, 2018, INT J APPL EARTH OBS, V68, P20, DOI 10.1016/j.jag.2018.01.016
   Losada IJ, 2013, GLOBAL PLANET CHANGE, V104, P34, DOI 10.1016/j.gloplacha.2013.02.006
   Madsen KS, 2015, J GEOPHYS RES-OCEANS, V120, P6405, DOI 10.1002/2015JC011070
   Makarynskyy O, 2004, ESTUAR COAST SHELF S, V61, P351, DOI 10.1016/j.ecss.2004.06.004
   Martyr RC, 2013, J HYDRAUL ENG, V139, P492, DOI 10.1061/(ASCE)HY.1943-7900.0000699
   McInnes KL, 2009, J COASTAL RES, P1005
   Mel R, 2014, ADV WATER RESOUR, V71, P177, DOI 10.1016/j.advwatres.2014.06.014
   Minster JF, 1999, GLOBAL PLANET CHANGE, V20, P57, DOI 10.1016/S0921-8181(98)00058-7
   Muis S, 2018, EARTHS FUTURE, V6, P1311, DOI 10.1029/2018EF000909
   Muis S, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11969
   Muller H, 2014, OCEAN DYNAM, V64, P1671, DOI 10.1007/s10236-014-0771-0
   Munroe R, 2016, THEORETICAL APPL CLI, V129, P185
   Nakamura R, 2016, NAT HAZARDS, V82, P1645, DOI 10.1007/s11069-016-2259-3
   Neeck SP, 2010, P SOC PHOTO-OPT INS, V782614-782614-782618
   Needham H.F., 2013, Eos, Transactions American Geophysical Union, V94, P213
   Needham HF, 2015, REV GEOPHYS, V53, P545, DOI 10.1002/2014RG000477
   Oh SM, 2013, NAT HAZARDS, V66, P1405, DOI 10.1007/s11069-012-0422-z
   Pasquali D, 2015, ESTUAR COAST SHELF S, V165, P61, DOI 10.1016/j.ecss.2015.09.002
   Peng DJ, 2019, GPS SOLUT, V23, DOI 10.1007/s10291-019-0838-y
   Peng SQ, 2006, OCEAN MODEL, V14, P1, DOI 10.1016/j.ocemod.2006.03.005
   Pinardi N., 2002, Ocean forecasting: conceptual basis and applica- tions
   Proudman J, 1924, PHILOS T R SOC LOND, V224, P185, DOI 10.1098/rsta.1924.0005
   Pujol MI, 2016, OCEAN SCI, V12, P1067, DOI 10.5194/os-12-1067-2016
   Rego J L, 2009, GEOPHYS RES LETT, V36, P48
   Resio DT, 2009, NAT HAZARDS, V51, P163, DOI 10.1007/s11069-009-9379-y
   Rigby E., 2008, Proceedings of Water Down Under, V2008, P629
   Scharroo R., 2005, Eos, Transactions American Geophysical Union, V86, P366, DOI [DOI 10.1029/2005EO400004, 10.1029/2005EO400004]
   Shen J, 2006, ESTUAR COAST SHELF S, V68, P1, DOI 10.1016/j.ecss.2005.12.018
   Sheng JY, 2006, PROG OCEANOGR, V70, P233, DOI 10.1016/j.pocean.2005.07.007
   Sheng YP, 2010, J GEOPHYS RES-OCEANS, V115, DOI 10.1029/2009JC005402
   Snoussi M, 2009, GEOMORPHOLOGY, V107, P32, DOI 10.1016/j.geomorph.2006.07.043
   Stocker, 2014, CLIMATE CHANGE 2013
   Teng JH, 2005, INT GEOSCI REMOTE SE, P967
   Vermaire JC, 2013, GEOPHYS RES LETT, V40, DOI 10.1002/grl.50191
   von Storch H, 2008, SUSTAIN SCI, V3, P33, DOI 10.1007/s11625-008-0044-2
   Vousdoukas MI, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04692-w
   Weigel AM, 2015, AGU FALL M
   Weisberg RH, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2008JC005115
   Wicks AJ, 2017, NAT HAZARDS, V86, P877, DOI 10.1007/s11069-016-2722-1
   Wu P, 1984, DEEP-SEA RES PT 2, V31, P846
   Yin BS, 2009, PROG NAT SCI-MATER, V19, P65, DOI 10.1016/j.pnsc.2008.05.023
   Zhang KQ, 2000, J CLIMATE, V13, P1748, DOI 10.1175/1520-0442(2000)013<1748:TCSAAT>2.0.CO;2
NR 104
TC 12
Z9 13
U1 4
U2 34
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 JUN
PY 2020
VL 44
IS 3
BP 299
EP 314
AR 0309133319879324
DI 10.1177/0309133319879324
EA SEP 2019
PG 16
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA LT2AF
UT WOS:000488737700001
DA 2025-01-10
ER

PT J
AU Brousseau, JJ
   Stern, MJ
   Hansen, LJ
AF Brousseau, Jennifer J.
   Stern, Marc J.
   Hansen, Lara J.
TI Unequal considerations of justice in municipal adaptation planning: an
   assessment of US climate plans over time and by context
SO LOCAL ENVIRONMENT
LA English
DT Article; Early Access
DE Climate change; social justice; climate adaptation plans; recent trends;
   contextual variables
ID LOCAL CLIMATE; POLITICS; SUSTAINABILITY; EQUITY; GOVERNANCE;
   VULNERABILITY; INITIATIVES; MITIGATION; PROTECTION; RESPONSES
AB Climate adaptation planning is increasingly approached locally through a social justice lens to ensure the needs of the most vulnerable are addressed. This study aims to identify trends in how recognitional, distributional, and procedural justice are considered within climate adaptation plans over time and across socio-demographic contexts. We coded these forms of justice in 101 climate adaptation plans and related documents published in the United States between 2010 and 2021 and conducted a series of regressions to understand patterns over time and across contexts. Newer plans more commonly addressed each type of justice, with a marked shift in plans published after 2017. More recent plans addressed new elements of recognitional justice (e.g. historical marginalisation, racial justice), a broader scope of distributional justice approaches (e.g. more strategies related to greenspaces, food, and green jobs), and more procedural justice-related initiatives to engage marginalised residents in adaptation. Plans from more Republican-leaning communities considered recognitional and distributional justice to a lesser degree than those from more Democratic-leaning areas. Plans by larger communities were more likely to address procedural justice and include strategies for monitoring the impacts to marginalised people. Plans from communities with a larger percentage of residents living in poverty addressed distributional justice more often and acknowledged more injustices faced by marginalised groups more often. We observed no trends in the treatment of procedural justice related to racial demographics or income. We discuss potential reasons for these trends and their implications.
C1 [Brousseau, Jennifer J.; Stern, Marc J.] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
   [Hansen, Lara J.] EcoAdapt, Bainbridge Isl, WA USA.
C3 Virginia Polytechnic Institute & State University
RP Brousseau, JJ (corresponding author), Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
EM jenniferjb@vt.edu
RI Stern, Marc/AAH-8834-2019
OI Hansen, Lara/0009-0001-9982-0695; Stern, Marc/0000-0002-0294-8941;
   Brousseau, Jennifer/0000-0003-3032-2919
FU National Science Foundation [1810851, 1811534]
FX This material is supported by the National Science Foundation under
   award numbers 1810851 and 1811534.
CR Ajibade I, 2019, CLIM DEV, V11, P850, DOI 10.1080/17565529.2019.1580557
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2021, QUICK FACTS
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Baker JL, 2012, URB DEV SER, P1, DOI 10.1596/978-0-8213-8845-7
   Berke P, 2009, J PLAN LIT, V23, P227, DOI 10.1177/0885412208327014
   Brinkley C, 2024, J AM PLANN ASSOC, V90, P63, DOI 10.1080/01944363.2022.2118155
   Broto VC, 2017, WORLD DEV, V93, P1, DOI 10.1016/j.worlddev.2016.12.031
   Brousseau Jennifer J., Understanding How Justice is Considered in Climate Adaptation Approaches: A Qualitative Review of Climate Adaptation Plans
   Bulkeley H., 2003, Routledge critical introductions to urbanism and the city
   Bulkeley H, 2007, GLOBAL ENVIRON POLIT, V7, P1, DOI 10.1162/glep.2007.7.2.1
   Bulkeley H, 2021, ENVIRON POLIT, V30, P266, DOI 10.1080/09644016.2021.1880713
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Byskov MF, 2021, CLIM DEV, V13, P1, DOI 10.1080/17565529.2019.1700774
   Caggiano H, 2023, NPJ URBAN SUSTAIN, V3, DOI 10.1038/s42949-023-00129-6
   Cannon C, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02025-2
   Chu E, 2019, ENVIRON URBAN, V31, P139, DOI 10.1177/0956247818814449
   Chu EK, 2021, CURR OPIN ENV SUST, V51, P85, DOI 10.1016/j.cosust.2021.02.009
   Diezmartínez CV, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33392-9
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101
   Dunn A., 2020, As the U.S. copes with multiple crises
   EcoAdapt, 2022, CLIMATE ADAPTATION K
   Fainstein SS, 2014, INT J URBAN SCI, V18, P1
   FEMA, 2023, Community disaster resilience zones
   Fiack D, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103235
   Fitzgerald J, 2022, J AM PLANN ASSOC, V88, P508, DOI 10.1080/01944363.2021.2013301
   Flanagan BE, 2011, J HOMEL SECUR EMERG, V8, DOI 10.2202/1547-7355.1792
   Foss A, 2018, URBAN STUD, V55, P332, DOI 10.1177/0042098016651554
   Foss AW, 2018, PLAN THEORY PRACT, V19, P604
   Foss AW, 2015, ENVIRON PLANN C, V33, P1412, DOI 10.1177/0263774X15614454
   Frick ColemanMoore., 2014, Climate Planning in Politically Conservative Cities: A Case Study of Seven Climate Action Plans
   George B, 2019, PUBLIC ADMIN REV, V79, P810, DOI 10.1111/puar.13104
   Georgetown Climate Center, State adaptation progress tracker
   Georgetown Climate Center, 2022, ADAPTATION CLEARINGH
   Guyadeen D, 2019, CLIMATIC CHANGE, V152, P121, DOI 10.1007/s10584-018-2312-1
   Healey P., 2020, Collaborative planning: Shaping places in fragmented societies, DOI DOI 10.1007/978-1-137-08600-6
   Henrique KP, 2021, PROG HUM GEOG, V45, P1169, DOI 10.1177/0309132520962856
   Hess DJ, 2021, LOCAL ENVIRON, V26, P461, DOI 10.1080/13549839.2021.1892047
   Hughes S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.640
   Hultquist A, 2017, URBAN AFF REV, V53, P138, DOI 10.1177/1078087415609737
   Innes J. E., 2004, Planning Theory & Practice, V5, P419, DOI DOI 10.1080/1464935042000293170
   Klein NJ, 2022, J AM PLANN ASSOC, V88, P163, DOI 10.1080/01944363.2021.1965495
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Krause RM, 2013, CITYSCAPE, V15, P125
   Krause RM, 2011, J URBAN AFF, V33, P45, DOI 10.1111/j.1467-9906.2010.00510.x
   Kresge Foundation, 2023, Climate Resilience and Urban Opportunity ((CRUO)
   Krieger N, 2020, AM J PUBLIC HEALTH, V110, P1620, DOI 10.2105/AJPH.2020.305886
   Liao L, 2020, J AM PLANN ASSOC, V86, P60, DOI 10.1080/01944363.2019.1667262
   Liao L, 2019, LOCAL ENVIRON, V24, P1197, DOI 10.1080/13549839.2019.1683725
   Lioubimtseva E., 2022, Justice in Climate Action Planning, P257, DOI 10.1007/978-3-030-73939-3_13
   Lioubimtseva E, 2022, DISCOV SUSTAIN, V3, DOI 10.1007/s43621-022-00071-0
   Lioubimtseva E, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100577
   Loh CG, 2022, J AM PLANN ASSOC, V88, P192, DOI 10.1080/01944363.2021.1936127
   Loh CG, 2021, J AM PLANN ASSOC, V87, P181, DOI 10.1080/01944363.2020.1829498
   Matos M, 2023, J ENVIRON PLANN MAN, V66, P2922, DOI 10.1080/09640568.2022.2093171
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   Meerow S, 2017, ENVIRON PLANN A, V49, P2619, DOI 10.1177/0308518X17735225
   MIT Election Data and Science Lab, 2020, County Presidential Election Returns
   Mullenbach LE, 2024, J URBAN AFF, V46, P701, DOI 10.1080/07352166.2022.2091449
   NCES (National Center for Eduation Statistics), 2021, NCES LOCALE LOOKUP
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   Opp SM, 2013, URBAN AFF REV, V49, P678, DOI 10.1177/1078087412469344
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Pastor M., 2015, THIS COULD BE START
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Reckien D, 2019, RENEW SUST ENERG REV, V112, P948, DOI 10.1016/j.rser.2019.05.014
   Reid Hannah., 2012, Adapting Cities to Climate Change, pedited by David Dodman, Jane Bicknell, and David Satterthwaite, 3
   Rice JL, 2014, GEOGR COMPASS, V8, P381, DOI 10.1111/gec3.12134
   Rice JL, 2010, ANN ASSOC AM GEOGR, V100, P929, DOI 10.1080/00045608.2010.502434
   Rosenzweig C., 2018, CLIMATE CHANGE CITIE, DOI DOI 10.1017/9781316563878
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Schlosberg David., 2007, DEFINING ENV JUSTICE
   Schrock G, 2015, J PLAN EDUC RES, V35, P282, DOI 10.1177/0739456X15580022
   Shi LD, 2021, SCIENCE, V372, P1408, DOI 10.1126/science.abc8054
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Smeltz Dina., 2020, Global Affairs
   Stein A, 2014, ENVIRON URBAN, V26, P166, DOI 10.1177/0956247813519046
   Stults M, 2017, MITIG ADAPT STRAT GL, V22, P1249, DOI 10.1007/s11027-016-9725-9
   Team RC, 2021, R LANGUAGE ENV STAT
   Thomas JM, 2018, PLAN THEORY PRACT, V19, P593
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   van den Berg HJ, 2019, ENVIRON SCI POLICY, V94, P90, DOI 10.1016/j.envsci.2018.12.015
   White-Newsome JL, 2018, AM J PUBLIC HEALTH, V108, pS72, DOI 10.2105/AJPH.2017.304133
   Wood RS, 2014, REV POLICY RES, V31, P529, DOI 10.1111/ropr.12103
   Woodruff SC, 2018, ENVIRON SCI POLICY, V84, P60, DOI 10.1016/j.envsci.2018.03.002
   Yeganeh AJ, 2020, URBAN CLIM, V31, DOI 10.1016/j.uclim.2019.100547
   Zuñiga ME, 2024, URBAN AFF REV, V60, P1123, DOI 10.1177/10780874231175841
NR 89
TC 2
Z9 2
U1 1
U2 1
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.
PD 2024 JUN 20
PY 2024
DI 10.1080/13549839.2024.2368532
EA JUN 2024
PG 19
WC Green & Sustainable Science & Technology; Environmental Studies;
   Geography; Regional & Urban Planning; Urban Studies
WE Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Geography; Public Administration; Urban Studies
GA WS5S5
UT WOS:001256882300001
DA 2025-01-10
ER

PT J
AU Parete, G
   Bruno, MF
   Calabrese, P
   Carlucci, R
   Chiarulli, M
   D'Onghia, G
   Fiore, A
   Fratino, U
   Longo, C
   Longo, F
   Scorrano, S
   Gentile, F
AF Parete, Giuseppe
   Bruno, Maria Francesca
   Calabrese, Pietro
   Carlucci, Roberto
   Chiarulli, Miriam
   D'Onghia, Gianfranco
   Fiore, Annunziata
   Fratino, Umberto
   Longo, Caterina
   Longo, Francesco
   Scorrano, Serena
   Gentile, Francesco
TI Climate impacts and adaptation strategies for coastal erosion,
   aquaculture, and tourism along the Adriatic side of Apulia region
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE climate impacts; adaptation strategies; coastal erosion; aquaculture;
   tourism
ID MULTI-TROPHIC AQUACULTURE; SEA-LEVEL; OCEAN ACIDIFICATION; ECOSYSTEM
   SERVICES; CHANGE PROJECTIONS; HUMAN HEALTH; BLUE CARBON; COSMO-CLM;
   WAVE; 21ST-CENTURY
AB This study addresses the imperative need for adaptation strategies to climate impacts in coastal areas, particularly vulnerable to climate change effects. Under the Interreg project "AdriaClim," our research aims to provide a comprehensive account of predicted climate impacts and corresponding adaptation measures for three key sectors for the coastal economy of the Puglia region (Southern Italy): coastal erosion, aquaculture, and tourism. Analyzing regional climate projections, predicted climatic anomalies for Apulia have been delineated. Together with a comprehensive description of the investigated sectors, the expected sectoral climate impacts have been identified. The respective adaptation measures for each sector have been evaluated in terms of coherence with the studied context and effectiveness, among those proposed in the literature. In aquaculture, climate change may influence ecosystem structure, functionality, production cycles, infrastructure, and organism physiology. Integrated multitrophic aquaculture (IMTA) emerges as a solution to enhance the resilience of Apulian aquatic production systems to climate change. For coastal tourism, the vulnerability to various climate impacts is emphasized. These impacts can directly influence tourist flows or indirectly alter the attractiveness of the Apulian Adriatic coast. Given the sector's strong ties to anthropic, natural, and cultural elements, a comprehensive adaptive approach proves most effective. Concerning coastal erosion, results underscore the prevalence of numerous stretches of eroding low coastline, with future projections indicating scenarios of widespread retreat along the southern Adriatic coast. Consequently, protective, and coastal management measures become imperative. The analyses and the obtained results serves as a valuable knowledge framework essential for formulating a climate change adaptation plan for the Apulian Adriatic coast, aligning with the regional authorities' orientations.
C1 [Parete, Giuseppe; Chiarulli, Miriam; Fiore, Annunziata; Gentile, Francesco] Univ Bari Aldo Moro, Dept Soil Plant & Food Sci, Bari, Italy.
   [Bruno, Maria Francesca; Fratino, Umberto] Polytech Bari, Dept Civil Environm Land Construct & Chem Engn, Bari, Italy.
   [Calabrese, Pietro; Longo, Francesco; Scorrano, Serena] Dept Environm Landscape & Urban Qual, Bari, Apulia, Italy.
   [Carlucci, Roberto; D'Onghia, Gianfranco; Longo, Caterina] Univ Bari Aldo Moro, Dept Biosci Biotechnol & Environm, Bari, Italy.
C3 Universita degli Studi di Bari Aldo Moro; Politecnico di Bari;
   Universita degli Studi di Bari Aldo Moro
RP Bruno, MF (corresponding author), Polytech Bari, Dept Civil Environm Land Construct & Chem Engn, Bari, Italy.
EM mariafrancesca.bruno@poliba.it
RI Bruno, Maria/ABA-4579-2020; Fiore, Annunziata/KPA-9453-2024; Fratino,
   Umberto/F-3149-2012; chiarulli, Miriam/KPA-9743-2024; Longo,
   Francesco/I-4336-2016
OI Fiore, Annunziata/0009-0002-4911-4933
FU Project Climate adaptation and mitigation plan in the eligible area of
   the Puglia Region-AdriaClim [CBC 2014-2020]
FX The author(s) declare that financial support was received for the
   research, authorship, and/or publication of this article. This work was
   funded by the Project Climate adaptation and mitigation plan in the
   eligible area of the Puglia Region-AdriaClim between University of Bari
   Aldo Moro and Department of Environment, Urban Quality and Landscape of
   Regione Puglia, within the framework of the AdriaClim project-Interreg
   V-A Program Italy-Croatia CBC 2014-2020.
CR Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P42539, DOI 10.1007/s11356-022-19718-6
   Abellan E., 1999, Marine Finfish Species Diversification: Current Situation and Prospects in Mediterranean Aquaculture
   [Agency E.E. EAA. EAA.], 2012, Climate Change, Impacts and Vulnerability in Europe 2012 an Indicator-Based Report
   Aguilo-Arce J, 2023, J MAR SCI ENG, V11, DOI 10.3390/jmse11010080
   Ahmed N, 2016, OCEAN COAST MANAGE, V132, P120, DOI 10.1016/j.ocecoaman.2016.08.017
   Andaloro F., 2020, Annuario 2020
   [Anonymous], 1992, Climate Change: The 1990 and 1992 IPCC Assessments. Intergovernmental Panel on Climate Change
   [Anonymous], 2008, Report
   [Anonymous], 2014, Guidelines for Integrating Climate Change Adaptation into Fisheries and Aquaculture Projects
   Arabadzhyan A, 2021, CURR ISSUES TOUR, V24, P2233, DOI 10.1080/13683500.2020.1825351
   Barkhordarian A, 2012, CLIM DYNAM, V38, P1695, DOI 10.1007/s00382-011-1060-y
   Barrington K., 2009, FAO Fisheries and Aquaculture Technical Paper, P7
   Bayne B., 2017, Biology of oysters
   Gómez-Martín MB, 2014, INT J BIOMETEOROL, V58, P781, DOI 10.1007/s00484-013-0659-6
   Bigano A., 2005, FEEM Working Paper No. 30.05
   Bjork M., 2008, Managing seagrasses for resilience to climate change
   Bronzi P., 2011, The State of the Italian Marine Fisheries and Aquaculture, P239
   Brown S., 2013, Coastal Hazards, P117, DOI [DOI 10.1007/978-94-007-5234-45, DOI 10.1007/978-94-007-5234-45/COVER, 10.1007/978-94-007-5234-4_5, DOI 10.1007/978-94-007-5234-4_5]
   Bruno MF, 2014, J COASTAL RES, P241, DOI 10.2112/SI70-041.1
   Bruno MF, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9070780
   Bruno MF, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8070531
   Bruno MF, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19061399
   Bucchignani E, 2016, INT J CLIMATOL, V36, P735, DOI 10.1002/joc.4379
   Cantasano N, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10666-9
   Catalán IA, 2019, FISH FISH, V20, P501, DOI 10.1111/faf.12359
   Cavallaro F, 2017, J SUSTAIN TOUR, V25, P1063, DOI 10.1080/09669582.2016.1253092
   Chatzivasileiou D, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10060776
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Chopin T., 2011, Aquac Eur, V36, P5
   Chopin T, 2012, REV AQUACULT, V4, P209, DOI 10.1111/j.1753-5131.2012.01074.x
   Chung IK, 2013, ICES J MAR SCI, V70, P1038, DOI 10.1093/icesjms/fss206
   Clements JC, 2017, REV AQUACULT, V9, P326, DOI 10.1111/raq.12140
   Cramer W, 2018, NAT CLIM CHANGE, V8, P972, DOI 10.1038/s41558-018-0299-2
   De Leo F, 2021, OCEAN DYNAM, V71, P97, DOI 10.1007/s10236-020-01419-8
   De Luca DL, 2022, CLIMATE, V10, DOI 10.3390/cli10030034
   De Martini PM, 2003, ANN GEOPHYS-ITALY, V46, P883
   De Silva S.S., P FARM WAT PEOPL FOO, P75
   De Silva S.S., 2009, CLIMATE CHANGE IMPLI, P151
   Di Rienzi M., 2006, Bollettino Epidemiologico Nazionale
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Edelson PJ, 2023, CLIN INFECT DIS, V76, P950, DOI 10.1093/cid/ciac697
   Elia M, 2019, STOCH ENV RES RISK A, V33, P169, DOI 10.1007/s00477-018-1558-5
   Elia M, 2014, LANDSCAPE ECOL, V29, P1771, DOI 10.1007/s10980-014-0070-7
   EU, 2015, EU Covenant of Mayors for Climate Energy
   European Commission, 2020, Forging a Climate-Resilient Europe-the New EU Strategy on Adaptation to Climate Change COM(2021) 82 Final
   FAO, 2015, MED COAST LAG SUST M
   Fatoric Sandra, 2017, Environment Systems & Decisions, V37, P276, DOI 10.1007/s10669-017-9629-6
   Fernández-Montblanc T, 2020, OCEAN COAST MANAGE, V188, DOI 10.1016/j.ocecoaman.2019.105075
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Franco A., 2003, Biol Mar Medit, V10, P152
   Galli A, 2017, SCI TOTAL ENVIRON, V578, P383, DOI 10.1016/j.scitotenv.2016.10.191
   García-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.006
   Gazeau F, 2010, BIOGEOSCIENCES, V7, P2051, DOI 10.5194/bg-7-2051-2010
   Geere D., 2014, Adaption to Climate-Related Changes in Seagrass Ecosystems in Chwaka Bay (zanzibar)
   Gianfreda F, 2001, NAT HAZARD EARTH SYS, V1, P213, DOI 10.5194/nhess-1-213-2001
   Giangrande A, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8100733
   Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001
   Giannakopoulos C, 2011, REG ENVIRON CHANGE, V11, P829, DOI 10.1007/s10113-011-0219-8
   Gifford S, 2007, TRENDS BIOTECHNOL, V25, P60, DOI 10.1016/j.tibtech.2006.12.002
   Giordano L, 2019, OCEAN COAST MANAGE, V176, P11, DOI 10.1016/j.ocecoaman.2019.04.013
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gossling S., 2006, Current Issues in Tourism, V9, P419, DOI 10.2167/cit265.0
   Gravili C, 2010, CHEM ECOL, V26, P121, DOI 10.1080/02757541003627654
   Greenwood J, 2010, MAR FRESHWATER RES, V61, P625, DOI 10.1071/MF09236
   Hinder SL, 2012, NAT CLIM CHANGE, V2, P271, DOI [10.1038/NCLIMATE1388, 10.1038/nclimate1388]
   Hinkel J, 2009, GLOBAL ENVIRON CHANG, V19, P384, DOI 10.1016/j.gloenvcha.2009.03.002
   Hooyberghs H, 2017, CLIMATIC CHANGE, V144, P721, DOI 10.1007/s10584-017-2058-1
   Horton BP, 2018, ANNU REV ENV RESOUR, V43, P481, DOI 10.1146/annurev-environ-102017-025826
   IPCC, 2023, Climate Change 2023: Synthesis Report. Contributions of Working Groups I, II, and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   IRGC, 2020, Involving Stakeholders in the Risk Governance Process
   ISPRA, 2020, L' acquacoltura italiana in numeri: numero di impianti, produzioni e principali specie allevate (2019 e 2020) Elaborazione ISPRA su dati MiPAAF-CREA, EUROSTAT
   ISPRA, 2023, Ambiente in Italia: uno sguardo d'insieme Annuario dei dati ambientali 2022
   Jackson LP, 2016, GLOBAL PLANET CHANGE, V146, P179, DOI 10.1016/j.gloplacha.2016.10.006
   Jacobeit J, 2014, REG ENVIRON CHANGE, V14, P1891, DOI 10.1007/s10113-014-0605-0
   Jennings S, 2016, FISH FISH, V17, P893, DOI 10.1111/faf.12152
   Jevrejeva S, 2019, SURV GEOPHYS, V40, P1673, DOI 10.1007/s10712-019-09550-y
   Johnson DM, 2023, CURR OPIN INSECT SCI, V56, DOI 10.1016/j.cois.2023.101020
   Mirón IJ, 2023, ENVIRON RES, V216, DOI 10.1016/j.envres.2022.114674
   Katsanevakis S, 2014, AQUAT INVASIONS, V9, P391, DOI 10.3391/ai.2014.9.4.01
   Kibria A., 2016, Studies on Integrated Multi-Trophic Aquaculture (IMTA) Systems in Freshwater Ponds
   Koenig U., 1997, Journal of Sustainable Tourism, V5, P46, DOI 10.1080/09669589708667275
   Laino E, 2023, OCEAN COAST MANAGE, V242, DOI 10.1016/j.ocecoaman.2023.106709
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Liquete C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0067737
   Lobeto H, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-86524-4
   Longo C, 2010, MAR POLLUT BULL, V60, P1182, DOI 10.1016/j.marpolbul.2010.03.035
   Longo C, 2016, ENVIRON SCI POLLUT R, V23, P3736, DOI 10.1007/s11356-015-5587-z
   Lovato T., 2013, CMCC Research Paper
   Macchia F., 2000, La cooperazione italo-albanese per la valorizzazione della biodiversita, P33
   Madec G., 2023, NEMO OCEAN ENGINE RE
   Mani-Peres C, 2016, OCEAN COAST MANAGE, V119, P135, DOI 10.1016/j.ocecoaman.2015.10.005
   Marino G., 2020, Assegnazione di Zone Marine per l'Acquacoltura (AZA). Guida Tecnica
   Martinelli A, 2020, CLIMATE, V8, DOI 10.3390/cli8060079
   Martinotti ME, 2017, NAT HAZARD EARTH SYS, V17, P467, DOI 10.5194/nhess-17-467-2017
   MASAF, 2021, Piano Strategico Acquacoltura Italia 2021-2027
   MASE, 2023, Piano Nazionale di Adattamento ai Cambiamenti Climatici
   Mastronuzzi G, 2007, MAR GEOL, V242, P191, DOI 10.1016/j.margeo.2006.10.025
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   MIBACT, 2017, Piano Strategico di Sviluppo del Turismo
   Mingle J, 2020, NEW YORK REV BOOKS, V67, P49
   Moatti J., 2016, IRD Editions, Marseille, DOI [10.4000/books.irdeditions.23454, DOI 10.4000/BOOKS.IRDEDITIONS.23454]
   Morim J, 2019, NAT CLIM CHANGE, V9, P711, DOI 10.1038/s41558-019-0542-5
   Morim J, 2018, GLOBAL PLANET CHANGE, V167, P160, DOI 10.1016/j.gloplacha.2018.05.005
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Neale PJ, 2023, PHOTOCH PHOTOBIO SCI, V22, P1093, DOI 10.1007/s43630-023-00370-z
   Neori A, 2004, AQUACULTURE, V231, P361, DOI 10.1016/j.aquaculture.2003.11.015
   Neubauer P, 2019, CONSERV PHYSIOL, V7, DOI 10.1093/conphys/coz025
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls R.J., 2016, CLIMATE CHANGE, V2, P309, DOI 10.1016/B978-0-444-63524-2.00020-8
   Nicholls RJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2016.0448
   Noro M, 2015, URBAN CLIM, V14, P187, DOI 10.1016/j.uclim.2015.04.004
   Olya HGT, 2019, ASIA PAC J TOUR RES, V24, P269, DOI 10.1080/10941665.2018.1564338
   Orr JC, 2005, NATURE, V437, P681, DOI 10.1038/nature04095
   Orr SA, 2021, HIST ENVIRON POLICY, V12, P434, DOI 10.1080/17567505.2021.1957264
   Otrachshenko V, 2022, ENVIRON DEV ECON, V27, P86, DOI 10.1017/S1355770X21000012
   Papageorgiou N, 2023, FRONT MAR SCI, V9, DOI 10.3389/fmars.2022.1083099
   Parisi G, 2014, REV FISH BIOL FISHER, V24, P15, DOI 10.1007/s11160-013-9317-7
   Parry M., 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel On Climate Change
   Petrosillo I, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110542
   Pile AJ, 1996, MAR ECOL PROG SER, V141, P95, DOI 10.3354/meps141095
   Pilli-Sihvola K, 2010, ENERG POLICY, V38, P2409, DOI 10.1016/j.enpol.2009.12.033
   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]
   Pugliapromozione, 2023, I principali trend del turismo in Puglia
   Range P, 2011, J EXP MAR BIOL ECOL, V396, P177, DOI 10.1016/j.jembe.2010.10.020
   Reale M, 2022, BIOGEOSCIENCES, V19, P4035, DOI 10.5194/bg-19-4035-2022
   Reid GK, 2019, AQUACULT ENV INTERAC, V11, P603, DOI 10.3354/aei00333
   Reimann L, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-06645-9
   REISWIG HM, 1975, CAN J ZOOL, V53, P582, DOI 10.1139/z75-072
   Rizzetto F, 2020, CLIM CHANG MANAG, P761, DOI 10.1007/978-3-030-37425-9_38
   Rockel B, 2008, METEOROL Z, V17, P347, DOI 10.1127/0941-2948/2008/0309
   Rose M. delle, 2015, Journal of Earth Science & Climatic Change, V6, P306
   Sarker P, 2014, AQUACULT ENV INTERAC, V6, P105, DOI 10.3354/aei00119
   Scheraga JD, 1998, CLIMATE RES, V11, P85, DOI 10.3354/cr011085
   Scoccimarro E, 2011, J CLIMATE, V24, P4368, DOI 10.1175/2011JCLI4104.1
   Scott D, 2010, PROCEDIA ENVIRON SCI, V1, P146, DOI 10.1016/j.proenv.2010.09.011
   Scott D, 2012, WIRES CLIM CHANGE, V3, P213, DOI 10.1002/wcc.165
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Sesana E, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.710
   Shaposhnikov D, 2014, EPIDEMIOLOGY, V25, P359, DOI 10.1097/EDE.0000000000000090
   Siikamäki J, 2013, ENVIRONMENT, V55, P14, DOI 10.1080/00139157.2013.843981
   Simolo C, 2014, REG ENVIRON CHANGE, V14, P1825, DOI 10.1007/s10113-012-0373-7
   Simoncelli S., 2019, MEDITERRANEAN SEA PH
   Sims DW, 2004, J ANIM ECOL, V73, P333, DOI 10.1111/j.0021-8790.2004.00810.x
   Sreejariya P., 2011, The Role of Integrated Multi-Trophic Aquaculture (IMTA) in Climate Change Mitigation and Adaptation
   Stabili L, 2023, SCI TOTAL ENVIRON, V884, DOI 10.1016/j.scitotenv.2023.163846
   Todaro V, 2022, WATER-SUI, V14, DOI 10.3390/w14162499
   Torresan S, 2012, NAT HAZARD EARTH SYS, V12, P2347, DOI 10.5194/nhess-12-2347-2012
   Trenberth KE, 2015, NAT CLIM CHANGE, V5, P725, DOI 10.1038/NCLIMATE2657
   Troell M, 2009, AQUACULTURE, V297, P1, DOI 10.1016/j.aquaculture.2009.09.010
   Tsirintanis K, 2022, AQUAT INVASIONS, V17, P308, DOI 10.3391/ai.2022.17.3.01
   Unioncamere-Puglia, 2022, Report di Analisi Economico-Territoriale Per Unioncamere Puglia
   Vaquer-Sunyer R, 2011, GLOBAL CHANGE BIOL, V17, P1788, DOI 10.1111/j.1365-2486.2010.02343.x
   Vilà M, 2010, FRONT ECOL ENVIRON, V8, P135, DOI 10.1890/080083
   Villalba A, 2005, DIS AQUAT ORGAN, V65, P257, DOI 10.3354/dao065257
   Villalba A, 2004, AQUAT LIVING RESOUR, V17, P411, DOI 10.1051/alr:2004050
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Vousdoukas MI, 2018, NAT CLIM CHANGE, V8, P776, DOI 10.1038/s41558-018-0260-4
   Wang B, 2024, ARCH COMPUT METHOD E, V31, P3377, DOI 10.1007/s11831-024-10072-z
   Wolff J. G., 2011, Acessado em, V4, P10
   Zachariadis T, 2010, ENERG POLICY, V38, P744, DOI 10.1016/j.enpol.2009.10.019
   Zollo AL, 2016, INT J CLIMATOL, V36, P987, DOI 10.1002/joc.4401
NR 161
TC 3
Z9 3
U1 5
U2 6
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD APR 25
PY 2024
VL 6
AR 1378253
DI 10.3389/fclim.2024.1378253
PG 27
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA PS6M8
UT WOS:001216112500001
OA gold
DA 2025-01-10
ER

PT J
AU Coussa, AN
   Gugler, P
   Reidy, J
AF Coussa, Alexandre
   Gugler, Philippe
   Reidy, Jonathan
TI Assessing the development of green innovation in China through patent
   evolution: the hallmark of government policy and private enterprises
SO INTERNATIONAL JOURNAL OF EMERGING MARKETS
LA English
DT Article; Early Access
DE China; Innovation; Green innovation; Green policies; Patent analysis;
   PATSTAT
ID PERFORMANCE EVIDENCE; STATE OWNERSHIP; ECO-INNOVATION; INSTITUTIONS;
   TECHNOLOGY; EFFICIENCY; MARKET; IMPACT
AB PurposeThe purpose of this paper is to develop a comprehensive overview of green innovation (GI) in China, which is carried out by reviewing the evolution of GI from 2000 to 2019, and the main type of technology, actors and localizations. When appropriate, GI is compared to non-GI.Design/methodology/approachThe study uses patent data from the European Patent Office database (PATSTAT); these data are processed to map trends and identify the main contributors to GI and the location of such innovation. The findings are then discussed and complemented with academic literature.FindingsKey findings reveal an increasing divergence between GI and nongreen innovation after the 2008 crisis. It is also observed that solar energy appears to be the main component of GI in China, with a shift from photovoltaic thermal energy to solar photovoltaic energy after 2008. Other areas, such as waste management, greenhouse gases capture and climate change adaptation, are less innovative. Companies play an essential role in the development of all types of innovation. In terms of location, green patents are mainly filed in China's three main megacities. The study also highlights the significant role of the Chinese state, which led policies shaping the trajectories and forms of GI.Originality/valueThis study expands knowledge on GI in China, highlighting its main specificities and the role of key actors. It provides to the reader a comprehensive picture of China's green policies and innovation realities. The results can therefore be used to improve the understanding of GI evolution in China and facilitate the formulation of new research questions.
C1 [Coussa, Alexandre] Univ Fribourg, Dept Econ, Ctr Competitiveness, Fribourg, Switzerland.
C3 University of Fribourg
RP Coussa, AN (corresponding author), Univ Fribourg, Dept Econ, Ctr Competitiveness, Fribourg, Switzerland.
EM alexandre.coussa@unifr.ch
RI gugler, Philippe/GYU-2243-2022
OI Coussa, Alexandre/0000-0003-1845-672X
CR Agrawala S., 2012, OECD Environment Working Papers, DOI [10.1787/5k9csvvntt8p-en, DOI 10.1787/5K9CSVVNTT8P-EN]
   [Anonymous], 2009, SUSTAINABLE MANUFACT
   Bazavan A, 2019, TECHNOL FORECAST SOC, V148, DOI 10.1016/j.techfore.2019.119738
   Bradsher Keith, 2021, The New York Times
   Braungardt S, 2016, ENVIRON ECON POLICY, V18, P213, DOI 10.1007/s10018-015-0129-y
   Cai WG, 2018, J CLEAN PROD, V176, P110, DOI 10.1016/j.jclepro.2017.12.109
   Cai X, 2020, SCI TOTAL ENVIRON, V746, DOI 10.1016/j.scitotenv.2020.140810
   Chen AP, 2021, MATH PROBL ENG, V2021, DOI 10.1155/2021/6672656
   Chen HY, 2023, ENERG POLICY, V172, DOI 10.1016/j.enpol.2022.113338
   Chen YS, 2013, J BUS ETHICS, V116, P107, DOI 10.1007/s10551-012-1452-x
   Chia T, 2022, How China is winning the race for clean energy technology
   de Rassenfosse G, 2021, DATA BRIEF, V34, DOI 10.1016/j.dib.2020.106615
   de Rassenfosse G, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0264-6
   de Rassenfosse G, 2014, AUST ECON REV, V47, P395, DOI 10.1111/1467-8462.12073
   EPO, 2023, Espacenet-recherches de brevets
   European Commission, 2023, Eco-innovation
   Fan F, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.125060
   Favot M, 2023, RESOUR CONS RECY ADV, V18, DOI 10.1016/j.rcradv.2023.200132
   Feng C, 2018, RENEW SUST ENERG REV, V94, P565, DOI 10.1016/j.rser.2018.06.037
   Fialka J., 2016, Scientific American
   Fussler C., 1996, DRIVING ECO INNOVATI
   Gao X, 2019, ENERG POLICY, V128, P364, DOI 10.1016/j.enpol.2018.12.056
   García-Granero EM, 2018, J CLEAN PROD, V191, P304, DOI 10.1016/j.jclepro.2018.04.215
   Guerrero-Bote VP, 2019, PROF INFORM, V28, DOI 10.3145/epi.2019.jul.01
   Hansen MH, 2018, GLOBAL ENVIRON CHANG, V53, P195, DOI 10.1016/j.gloenvcha.2018.09.014
   Hascic I., 2015, OECD ENV WORKING PAP, V89, DOI [10.1787/19970900, 10.1787/5js009kf48xw-en, DOI 10.1787/5JS009KF48XW-EN]
   Helveston J, 2019, SCIENCE, V366, P794, DOI 10.1126/science.aaz1014
   Holzmann H., 2021, ' Greening' China: an analysis of Beijing's sustainable development strategies
   International Energy Agency, 2022, Technical report
   International Energy Agency, 2023, Tracking Clean Energy Progress 2023
   Jiang K, 2021, RENEW SUST ENERG REV, V138, DOI 10.1016/j.rser.2020.110521
   Kang B, 2016, WORLD PAT INF, V46, P56, DOI 10.1016/j.wpi.2016.06.001
   Kelly B, 2021, AM ECON REV INSIGHTS, V3, P303, DOI 10.1257/aeri.20190499
   Lacasa ID, 2018, ENERGY RES SOC SCI, V38, P87, DOI 10.1016/j.erss.2018.01.012
   Lee JW, 2018, J BUS ETHICS, V148, P397, DOI 10.1007/s10551-016-3024-y
   Leon L.R., 2018, Economic Research Working Paper, V44
   Li JH, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17062085
   Li JM, 2022, ENERG ECON, V114, DOI 10.1016/j.eneco.2022.106260
   Lin BQ, 2020, J CLEAN PROD, V254, DOI 10.1016/j.jclepro.2020.120108
   Lin BQ, 2014, RENEW SUST ENERG REV, V40, P111, DOI 10.1016/j.rser.2014.07.128
   Lin KJ, 2020, CHINA J ACCOUNT RES, V13, P31, DOI 10.1016/j.cjar.2019.12.001
   Liu DS, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126778
   Liu FC, 2011, RES POLICY, V40, P917, DOI 10.1016/j.respol.2011.05.005
   Liu H, 2023, ASIAN J TECHNOL INNO, V31, P534, DOI 10.1080/19761597.2022.2131586
   Liu J., 2022, W FORUM EC MANAG, V33, P37
   Liu K, 2024, J ENVIRON PLANN MAN, V67, P2695, DOI 10.1080/09640568.2023.2197555
   Liu K, 2023, SCI TOTAL ENVIRON, V857, DOI 10.1016/j.scitotenv.2022.159426
   Liu WL, 2022, ENVIRON SCI POLLUT R, V29, P27703, DOI 10.1007/s11356-021-18448-5
   Liu ZD, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17051670
   Lu YL, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aau9413
   Maldonado-Guzman G, 2023, MANAG ENVIRON QUAL, V34, P1690, DOI 10.1108/MEQ-02-2023-0058
   Moro M. A., 2018, INT J INNOV STUD, V2, P14, DOI [10.1016/j.ijis.2018.03.001, DOI 10.1016/J.IJIS.2018.03.001]
   National Bureau of Statistics of China, 2023, China Statistical Yearbook
   Nie YY, 2022, APPL ECON LETT, V29, P1509, DOI 10.1080/13504851.2021.1942426
   OECD, 2023, Patents in environment-related technologies: technology indicators. OECD environment statistics, DOI [10.1787/data-00668-en, DOI 10.1787/DATA-00668-EN]
   OECD, 2023, Gross domestic expenditure on R&D by sector of performance and type of R&D
   Ponta L, 2021, MANAGE DECIS, V59, P73, DOI 10.1108/MD-05-2020-0545
   PORTER ME, 1995, J ECON PERSPECT, V9, P97, DOI 10.1257/jep.9.4.97
   Preen M., 2019, Economic reform in China: Current progress and future prospects
   Quan XF, 2023, J BUS ETHICS, V182, P535, DOI 10.1007/s10551-021-04977-z
   Reeb DM, 2020, CRIT FINANC REV, V9, P157, DOI 10.1561/104.00000087
   Schiederig T, 2012, R&D MANAGE, V42, P180, DOI 10.1111/j.1467-9310.2011.00672.x
   Shao YM, 2022, ECON ANAL POLICY, V74, P716, DOI 10.1016/j.eap.2022.03.020
   Singh V., 2016, J INTELLECT PROP RIG, V21, P42
   Sly MJH, 2021, REGE-REV GEST, V28, P316, DOI 10.1108/REGE-01-2021-0003
   Statista, 2023, Global green patent filing share by country 2020
   Svensson R, 2022, EMPIR ECON, V62, P1715, DOI 10.1007/s00181-021-02082-8
   Urbaniec M, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10070068
   Wang KL, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109901
   Wang K, 2021, J CLEAN PROD, V314, DOI 10.1016/j.jclepro.2021.128029
   Wang L, 2011, J BUS FINAN ACCOUNT, V38, P794, DOI 10.1111/j.1468-5957.2011.02254.x
   Wang P, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph182211991
   Wang QH, 2019, SCI TOTAL ENVIRON, V696, DOI 10.1016/j.scitotenv.2019.134008
   Wei SJ, 2017, J ECON PERSPECT, V31, P49, DOI 10.1257/jep.31.1.49
   World Intellectual Property Organization, 2023, IPC publication
   Xu L, 2021, ENERG ECON, V99, DOI 10.1016/j.eneco.2021.105269
   Yi JT, 2017, TECHNOVATION, V62-63, P4, DOI 10.1016/j.technovation.2017.04.002
   Yoon S., 2018, What makes China's innovation ecosystem unique?
   Yu CH, 2021, ENERG POLICY, V153, DOI 10.1016/j.enpol.2021.112255
   Yuan BL, 2018, J CLEAN PROD, V176, P895, DOI 10.1016/j.jclepro.2017.12.034
   Zameer H, 2020, J CLEAN PROD, V247, DOI 10.1016/j.jclepro.2019.119119
   Zeng DZ, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105249
   Zhang DY, 2019, RESOUR CONSERV RECY, V144, P48, DOI 10.1016/j.resconrec.2019.01.023
   Zhang J, 2016, CARBON, V98, P708, DOI 10.1016/j.carbon.2015.11.060
   Zhang J, 2012, TELECOMMUN POLICY, V36, P997, DOI 10.1016/j.telpol.2012.09.001
   Zhou KZ, 2017, ADMIN SCI QUART, V62, P375, DOI 10.1177/0001839216674457
   Zhou W., 2020, Washington International Law Journal, V30, P470, DOI [10.2139/ssrn.3737272, DOI 10.2139/SSRN.3737272]
NR 87
TC 1
Z9 1
U1 5
U2 16
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1746-8809
EI 1746-8817
J9 INT J EMERG MARK
JI Int. J. Emerg. Mark.
PD 2024 FEB 19
PY 2024
DI 10.1108/IJOEM-09-2023-1512
EA FEB 2024
PG 25
WC Business; Economics; Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA ID0M2
UT WOS:001164269800001
DA 2025-01-10
ER

PT J
AU Downs, PW
   Lambert, AM
   Williams, J
   Braman, CA
AF Downs, Peter W.
   Lambert, Adam M.
   Williams, Jared
   Braman, Charles A.
TI Interannual controls on riparian plant health in a dryland river
SO ECOHYDROLOGY
LA English
DT Article
DE drought; groundwater dependent ecosystem; NDVI; plant health; riparian
   zones; river management
ID COLORADO RIVER; WATER-UPTAKE; CLIMATE-CHANGE; UNITED-STATES; SAN-PEDRO;
   DROUGHT; GROUNDWATER; NDVI; VEGETATION; FLOW
AB Riparian zones in drylands provide important refugia for plants but depend on groundwater and thus are subject to local temporal and spatial variability in abiotic controls. In lieu of costly field-based sampling, we used readily available data to establish site-scale interannual relationships among riparian plant health and the abiotic factors that control their water balance for a historically persistent wetland adjoining the Santa Clara River in southern California, USA. Non-linear generalized additive model (GAM) analysis of plant health, represented using the normalized difference vegetation index (NDVI), confirmed robust relationships among plant health and various geomorphological and hydrological factors over multi-decadal timeframes, including years since last high-flow event, intra-year groundwater elevation changes and magnitude of 2-year cumulative surface water inflows. Geomorphic controls are related to years with high flows that cause extensive scour and deposition that re-set riparian plant communities. Relationships with dry-season groundwater declines reflect direct plant access to sub-surface moisture. Hydrological dependence via cumulative inflow magnitude indicates the dependency of groundwater elevations on sufficient winter recharge to prevent precipitous groundwater decline. GAMs-based inflection point analysis of surface water inflows versus groundwater elevations confirmed that the cumulative magnitude of multi-year inflows is critical in avoiding catastrophic groundwater declines and that large flood events drive groundwater recovery. We show that abiotic controls on plant health can be derived from readily available data and that non-linear analysis better represents the complexity of these scalar controls. Our analysis has relevance for ecosystem management of human-altered rivers and climate change adaptation.
C1 [Downs, Peter W.] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA USA.
   [Lambert, Adam M.; Williams, Jared] Univ Calif Santa Barbara, Marine Sci Inst, Santa Barbara, CA USA.
   [Lambert, Adam M.] Univ Calif Santa Barbara, Cheadle Ctr Biodivers & Ecol Restorat, Santa Barbara, CA USA.
   [Braman, Charles A.] Univ Calif Santa Barbara, Dept Ecol Evolut & Marine Biol, Santa Barbara, CA USA.
   [Downs, Peter W.] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA.
C3 University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara;
   University of California System; University of California Santa Barbara
RP Downs, PW (corresponding author), Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA.
EM peterwdowns@ucsb.edu
OI Braman, Charles/0000-0003-0886-9459; Williams, Jared/0000-0002-0383-6650
FU California State Coastal Conservancy; California Department of Fish and
   Wildlife [Q1996011];  [19-037]
FX This study was supported in part by funding from the California State
   Coastal Conservancy (19-037) and California Department of Fish and
   Wildlife (Q1996011). We thank E. Hobson, S. Kelley, B. Orr, C. Kibler
   and C. Braudrick for helpful reviews of manuscript drafts.
CR Abatatzoglou JT, 2017, B AM METEOROL SOC, V98, P1815, DOI 10.1175/BAMS-D-16-0193.1
   Adams HD, 2009, P NATL ACAD SCI USA, V106, P7063, DOI 10.1073/pnas.0901438106
   Aguilar C, 2012, ECOL INDIC, V23, P290, DOI 10.1016/j.ecolind.2012.04.008
   Albano CM, 2022, J HYDROMETEOROL, V23, P505, DOI 10.1175/JHM-D-21-0163.1
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Amlin NM, 2003, TREES-STRUCT FUNCT, V17, P351, DOI 10.1007/s00468-003-0245-3
   Andrews ED, 2004, J CLIMATE, V17, P337, DOI 10.1175/1520-0442(2004)017<0337:IOEOFF>2.0.CO;2
   Apurv T, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL092200
   Beller EE, 2016, LANDSCAPE ECOL, V31, P581, DOI 10.1007/s10980-015-0264-7
   Bellot J, 2008, J HYDROL, V357, P67, DOI 10.1016/j.jhydrol.2008.05.002
   Bennett SK, 2022, RESTOR ECOL, V30, DOI 10.1111/rec.13578
   Buma B, 2012, ENVIRON MONIT ASSESS, V184, P3849, DOI 10.1007/s10661-011-2228-y
   BUSCH DE, 1992, ECOL APPL, V2, P450, DOI 10.2307/1941880
   Butterfield BJ, 2016, J VEG SCI, V27, P938, DOI 10.1111/jvs.12440
   Callahan CW, 2021, NAT CLIM CHANGE, V11, P752, DOI 10.1038/s41558-021-01099-2
   Camporeale C., 2019, Dryland ecohydrology, P239
   Chen MS, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2889
   Chiloane C, 2022, GEOCARTO INT, V37, P6755, DOI 10.1080/10106049.2021.1948108
   Cohen MJ, 2001, J ARID ENVIRON, V49, P35, DOI 10.1006/jare.2001.0834
   Cooper DJ, 2003, ENVIRON MANAGE, V31, P215, DOI 10.1007/s00267-002-2808-2
   Costa AC, 2013, HYDROL PROCESS, V27, P1046, DOI 10.1002/hyp.9243
   Cuthbert MO, 2019, NATURE, V572, P230, DOI 10.1038/s41586-019-1441-7
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Dawson TE, 1996, OECOLOGIA, V107, P13, DOI 10.1007/BF00582230
   Dettinger M, 2011, J AM WATER RESOUR AS, V47, P514, DOI 10.1111/j.1752-1688.2011.00546.x
   Downs PW, 2013, GEOMORPHOLOGY, V189, P121, DOI 10.1016/j.geomorph.2013.01.023
   Friedman JM, 2022, ECOL APPL, V32, DOI 10.1002/eap.2689
   Gimeno L, 2014, FRONT EARTH SC-SWITZ, V2, DOI 10.3389/feart.2014.00002
   Gómez-Sapiens M, 2021, REMOTE SENS ECOL CON, V7, P488, DOI 10.1002/rse2.204
   Gomez-Sapiens MM, 2020, HYDROL PROCESS, V34, P1682, DOI 10.1002/hyp.13689
   Gong DY, 2004, ACTA BOT SIN, V46, P186
   Harris SM, 2018, THEOR APPL CLIMATOL, V132, P965, DOI 10.1007/s00704-017-2138-1
   He KS, 2009, ACTA OECOL, V35, P14, DOI 10.1016/j.actao.2008.07.006
   Horton JL, 2001, PLANT CELL ENVIRON, V24, P293, DOI 10.1046/j.1365-3040.2001.00681.x
   Huang HP, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2020JD034053
   Hultine KR, 2010, ECOL APPL, V20, P347, DOI 10.1890/09-0492.1
   Hultine KR, 2020, HYDROL PROCESS, V34, P209, DOI 10.1002/hyp.13587
   Huntington J, 2016, REMOTE SENS ENVIRON, V185, P186, DOI 10.1016/j.rse.2016.07.004
   Jiang ZY, 2006, REMOTE SENS ENVIRON, V101, P366, DOI 10.1016/j.rse.2006.01.003
   Kibler CL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1377
   Klausmeyer K.R., 2019, GDE Pulse: Taking the Pulse of Groundwater Dependent Ecosystems with Satellite Data
   Kumar Saurabh, 2022, International Journal of Information Technology, V14, P2035, DOI 10.1007/s41870-021-00797-6
   Lange J, 2005, J HYDROL, V306, P112, DOI 10.1016/j.jhydrol.2004.09.016
   Leffler AJ, 2000, WEST N AM NATURALIST, V60, P204
   Mayes M, 2020, HYDROL PROCESS, V34, P4884, DOI 10.1002/hyp.13942
   McCallum AM, 2014, WATER RESOUR RES, V50, P2815, DOI 10.1002/2012WR012922
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   McPartland MY, 2019, GLOBAL CHANGE BIOL, V25, P93, DOI 10.1111/gcb.14465
   McShane RR, 2015, ECOGRAPHY, V38, P1254, DOI 10.1111/ecog.01285
   Merritt DM, 2010, FRESHWATER BIOL, V55, P206, DOI 10.1111/j.1365-2427.2009.02206.x
   Nagler P, 2022, J AM WATER RESOUR AS, V58, P746, DOI 10.1111/1752-1688.13036
   Nagler PL, 2008, J ENVIRON MANAGE, V88, P864, DOI 10.1016/j.jenvman.2007.04.010
   Nagler PL, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13071332
   Nagler PL, 2020, HYDROL PROCESS, V34, P4851, DOI 10.1002/hyp.13911
   Newman BD, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004141
   Oakley N.S., 2019, PROJECTED CHANGES VE
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Palmquist EC, 2018, J ARID ENVIRON, V148, P54, DOI 10.1016/j.jaridenv.2017.10.001
   Parker Sophie S., 2014, Ecological Restoration, V32, P6
   Pau S, 2012, J BIOGEOGR, V39, P1678, DOI 10.1111/j.1365-2699.2012.02731.x
   Pettit NE, 2018, HYDROL PROCESS, V32, P1502, DOI 10.1002/hyp.11510
   Qin DJ, 2012, APPL GEOCHEM, V27, P1133, DOI 10.1016/j.apgeochem.2012.02.031
   Rohde MM, 2021, P NATL ACAD SCI USA, V118, DOI [10.1073/pnas.2026453118|1of7, 10.1073/pnas.2026453118]
   Rood SB, 2000, TREES-STRUCT FUNCT, V14, P248, DOI 10.1007/s004680050010
   Rood SB, 2003, TREE PHYSIOL, V23, P1113, DOI 10.1093/treephys/23.16.1113
   Rood SB, 2013, PLANT CELL ENVIRON, V36, P984, DOI 10.1111/pce.12031
   Rood SB, 2011, TREES-STRUCT FUNCT, V25, P907, DOI 10.1007/s00468-011-0565-7
   Rouse J.W., 1974, Monitoring vegetation systems in the great plains with ERTS
   Sargeant CI, 2016, ECOHYDROLOGY, V9, P1328, DOI 10.1002/eco.1730
   Sarris D, 2013, AGR FOREST METEOROL, V168, P59, DOI 10.1016/j.agrformet.2012.08.007
   Scanlon BR, 2006, HYDROL PROCESS, V20, P3335, DOI 10.1002/hyp.6335
   Schook DM, 2020, SCI TOTAL ENVIRON, V735, DOI 10.1016/j.scitotenv.2020.139523
   Scott ML, 1999, ENVIRON MANAGE, V23, P347, DOI 10.1007/s002679900191
   Seager R, 2013, NAT CLIM CHANGE, V3, P482, DOI [10.1038/NCLIMATE1787, 10.1038/nclimate1787]
   Simpson GL, 2018, FRONT ECOL EVOL, V6, DOI 10.3389/fevo.2018.00149
   Singer MB, 2013, ECOHYDROLOGY, V6, P402, DOI 10.1002/eco.1283
   Snyder KA, 2000, AGR FOREST METEOROL, V105, P227, DOI 10.1016/S0168-1923(00)00193-3
   Stella JC, 2013, HYDROBIOLOGIA, V719, P291, DOI 10.1007/s10750-012-1304-9
   Stella JC, 2010, RESTOR ECOL, V18, P284, DOI 10.1111/j.1526-100X.2010.00651.x
   Stromberg JC, 2013, J ARID ENVIRON, V94, P1, DOI 10.1016/j.jaridenv.2013.02.004
   Stromberg JC, 1996, ECOL APPL, V6, P113, DOI 10.2307/2269558
   Swain DL, 2018, NAT CLIM CHANGE, V8, P427, DOI 10.1038/s41558-018-0140-y
   Tian F, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12010054
   Torres-Garcia M. T., 2021, OECOLOGIA, V196, P1179, DOI [10.21203/rs.3.rs-202180/v1, DOI 10.21203/RS.3.RS-202180/V1]
   Valor T, 2020, FOREST ECOL MANAG, V478, DOI 10.1016/j.foreco.2020.118500
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Warrick J. A., 2002, THESIS U CALIFORNIA
   Wells N, 2004, J CLIMATE, V17, P2335, DOI 10.1175/1520-0442(2004)017<2335:ASPDSI>2.0.CO;2
   Williams AP, 2020, SCIENCE, V368, P314, DOI 10.1126/science.aaz9600
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Williams J., 2023, SEASONAL SPECIES LEV
   Williams J, 2022, GLOBAL CHANGE BIOL, V28, P6771, DOI 10.1111/gcb.16376
   Williams R. P., 1979, WATER RESOURCES INVE
   Wood SN, 2011, J ROY STAT SOC B, V73, P3, DOI 10.1111/j.1467-9868.2010.00749.x
   Wood SN, 2004, J AM STAT ASSOC, V99, P673, DOI 10.1198/016214504000000980
   Xue JR, 2017, J SENSORS, V2017, DOI 10.1155/2017/1353691
   Zaimes GN, 2020, J ENVIRON BIOL, V41, P957, DOI [10.22438/jeb/41/5/MRN-1454, 10.224838/jeb//41/5/MRN-1454]
   Zamora-Arroyo F, 2001, J ARID ENVIRON, V49, P49, DOI 10.1006/jare.2001.0835
   Zhang JC, 2019, COMPUT ELECTRON AGR, V165, DOI 10.1016/j.compag.2019.104943
NR 99
TC 1
Z9 1
U1 11
U2 16
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1936-0584
EI 1936-0592
J9 ECOHYDROLOGY
JI Ecohydrology
PD MAR
PY 2024
VL 17
IS 2
DI 10.1002/eco.2613
EA JAN 2024
PG 17
WC Ecology; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA LJ6Z5
UT WOS:001136729000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Karamidehkordi, E
   Sadati, SAH
   Tajvar, Y
   Mirmousavi, SH
AF Karamidehkordi, Esmail
   Sadati, Seyed Abdolhamid Hashemi
   Tajvar, Yahya
   Mirmousavi, Seyed Hossein
TI Climate change vulnerability and resilience strategies for citrus
   farmers
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Agriculture; Local community; Climate change exposure; Climate change
   adaptation; Grounded theory; Adaptive capacity
ID METEOROLOGICAL DATA; RIVER-BASIN; RISK; ADAPTATION; PERCEPTIONS;
   IMPACTS; OPPORTUNITIES; AGRICULTURE; CHALLENGES; REGION
AB The adverse effects of climate change on food production, livelihoods and agroecosystems are well-documented. This paper investigates the vulnerability and resilience of citrus farmers to climate change using a mixed quantitative and qualitative methodology. The quantitative study analysed the trend and variability of the climatic data comprising annual precipitation and annual average, minimum and maximum temperatures (19842021), collected from Iran's Meteorology Organization and analysed by the Mann-Kendall test. The qualitative research also employed the grounded theory method (GTM) and collected data through direct observations of citrus farms, focus groups and semi-structured interviews with 35 citrus farmers and 11 agricultural extension agents and specialists in North Iran. The results indicated that citrus farms are sensitive to temperature extremes, with increased instances of freeze stress during winter and heat stress during spring and summer over the past four decades. These stresses have reduced the productivity and marketability of fruits, making farmers' livelihoods more vulnerable. While scientific knowledge exists, farmers generally have limited adaptive capacity and resilience to climate change. Existing policies, innovations and institutions are insufficient to enhance farmers' resilience. To cope with climate change-induced hazards, resilience mechanisms in the long and short term are necessary to mitigate, prepare and reconstruct before, during and after the incidence of such events. Effective strategies, such as input, insurance and credit support services and innovations, are thus required to increase farmers' resilience. This paper also offers insights into the way external organisations' policies and institutional strategies affect farmers' vulnerability and resilience to climate change.
C1 [Karamidehkordi, Esmail] Tarbiat Modares Univ, Fac Agr, Agr Extens & Educ Dept, Jalal AleAhmad Rd, Tehran 1411713116, Iran.
   [Sadati, Seyed Abdolhamid Hashemi] Univ Zanjan, Agr Extens Commun & Rural Dev Dept, Fac Agr, Zanjan, Iran.
   [Tajvar, Yahya] Agr Res Educ & Extens Org, Hort Sci Res Inst, Citrus & Subtrop Fruits Res Ctr, Tehran, Iran.
   [Mirmousavi, Seyed Hossein] Univ Zanjan, Geog Dept, Zanjan, Iran.
C3 Tarbiat Modares University; University Zanjan; University Zanjan
RP Karamidehkordi, E (corresponding author), Tarbiat Modares Univ, Fac Agr, Agr Extens & Educ Dept, Jalal AleAhmad Rd, Tehran 1411713116, Iran.
EM e.karamidehkordi@modares.ac.ir; h_zar1380@yahoo.com;
   yahyataj80@gmail.com; hossein.mirmousavi@znu.ac.ir
RI tajvar, yahya/J-9133-2017; Karamidehkordi, Esmail/F-9105-2018
OI Karamidehkordi, Esmail/0000-0003-4768-7084
FU Iran National Science Foundation (INSF)
FX The authors acknowledge the financial support of the Iran National
   Science Foundation (INSF) for this research.
CR Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Abobatta W.F, 2019, Potential impact of global climate change on citrus, V4, P308, DOI [10.15406/mojes.2019.04.00168, DOI 10.15406/MOJES.2019.04.00168]
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Al-Eisawi D, 2022, INT J QUAL METH, V21, DOI 10.1177/16094069221113551
   Albrigo L. G., 2019, Citrus, DOI 10.1079/9781845938154.0000
   Aldunce P, 2016, ENVIRON PLANN C, V34, P999, DOI 10.1177/0263774X15614734
   Baizayee B., 2014, Building Adaptive Capacity and Resilience to Climate Change in afghanistan (Ldcf): Baseline Assessment Report
   Berkes F, 2007, NAT HAZARDS, V41, P283, DOI 10.1007/s11069-006-9036-7
   Biswas RR, 2023, J ENVIRON MANAGE, V336, DOI 10.1016/j.jenvman.2023.117666
   Broto VC, 2013, ENVIRON PLANN C, V31, P182, DOI 10.1068/c460wr1
   Bryman A., 2016, Social Research Methods, V5th
   Cao Q, 2019, LAND USE POLICY, V85, P285, DOI 10.1016/j.landusepol.2019.04.013
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Cogliati MG, 2021, THEOR APPL CLIMATOL, V144, P25, DOI 10.1007/s00704-020-03512-w
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   Cullen AC, 2017, RISK ANAL, V37, P531, DOI 10.1111/risa.12631
   De Salvo M, 2013, AGR SYST, V118, P23, DOI 10.1016/j.agsy.2013.02.005
   Diatta O, 2022, GLOB ECOL CONSERV, V33, DOI 10.1016/j.gecco.2021.e01957
   Doorn N, 2017, J RISK RES, V20, P711, DOI 10.1080/13669877.2015.1100662
   Fahad S, 2020, ENVIRON SCI POLLUT R, V27, P1334, DOI 10.1007/s11356-019-06878-1
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Fares A, 2017, J WATER CLIM CHANGE, V8, P576, DOI 10.2166/wcc.2017.182
   Fellmann T, 2018, MITIG ADAPT STRAT GL, V23, P451, DOI 10.1007/s11027-017-9743-2
   Fitchett JM, 2014, INT J BIOMETEOROL, V58, P1811, DOI 10.1007/s00484-013-0778-0
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004
   Giri M, 2021, J CLEAN PROD, V307, DOI 10.1016/j.jclepro.2021.127213
   Glaser BG., 1999, The Discovery of Grounded Theory: Strategies for Qualitative Research
   Gutu Tesso Gutu Tesso, 2012, Agricultural Sciences, V3, P871, DOI 10.4236/as.2012.36106
   Hameso S., 2015, PERCEPTIONS VULNERAB
   Hasan MK, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135384
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Hashemi Sadati S.A., 2021, J. Geography Regional Develop., V19, P228, DOI [10.22067/jgrd.2021.72546.1067,193, DOI 10.22067/JGRD.2021.72546.1067,193]
   Hashemi Sadati S.A., 2022, J. Agric. Educ. Adm. Res., V13, P160, DOI [10.22092/jaear.2022.357796.1884, DOI 10.22092/JAEAR.2022.357796.1884]
   Hasibuan AM, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104252
   Hein Y, 2019, CLIMATE, V7, DOI 10.3390/cli7050064
   Hussain A, 2018, NAT HAZARDS, V91, P1365, DOI 10.1007/s11069-018-3187-1
   Ibarraran Maria E., 2010, Environment Development and Sustainability, V12, P365, DOI 10.1007/s10668-009-9201-8
   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
   Iran's Ministry of Jahad Agriculture, 2021, Agricultural Statistics Year Book 2019-2020, Permanent Crops, V3
   Johnson JMF, 2007, ENVIRON POLLUT, V150, P107, DOI 10.1016/j.envpol.2007.06.030
   Karamidehkordi E, 2015, IR C GLOB SUST LOC F
   Karamidehkordi E, 2023, Impact of climate change on water crisis and conflicts: farmers' perceptions at the zayandehrud basin in Iran, DOI [10.2139/ssrn.4570880, DOI 10.2139/SSRN.4570880]
   Karamidehkordi E, 2010, HUM ECOL, V38, P295, DOI 10.1007/s10745-010-9309-3
   Kasperson RE, 2001, GLOBAL ENVIRONMENTAL RISK, P247
   Kollas C, 2014, AGR FOREST METEOROL, V184, P257, DOI 10.1016/j.agrformet.2013.10.001
   Lazarus NW, 2011, APPL GEOGR, V31, P20, DOI 10.1016/j.apgeog.2010.03.012
   Lei YD, 2014, NAT HAZARDS, V70, P609, DOI 10.1007/s11069-013-0831-7
   Lewis P., 2018, Impacts of climate change on farming systems and livelihoods in the near East and North Africa-with a special focus on small-scale farmin
   Ludwig F., 2007, Climate change impacts on developing countries - EU accountability
   Makuvaro V, 2018, J ARID ENVIRON, V152, P75, DOI 10.1016/j.jaridenv.2018.01.016
   Mazandaran Jahad Agriculture Organization, 2019, Report of Freeze and Frost Damages to Citrus Orchards in the Mazandaran Province
   Najmuddin O, 2017, PHYS CHEM EARTH, V101, P121, DOI 10.1016/j.pce.2017.06.002
   Nawaz R, 2020, SCI HORTIC-AMSTERDAM, V260, DOI 10.1016/j.scienta.2019.108868
   Nesbitt ML, 2002, HORTSCIENCE, V37, P871, DOI 10.21273/HORTSCI.37.6.871
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Omerkhil N, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105863
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Qureshi HA, 2020, INT J QUAL METH, V19, DOI 10.1177/1609406920928188
   Rosenzweig C, 1996, AGR SYST, V52, P455, DOI 10.1016/0308-521X(95)00059-E
   Ruppel PS, 2015, INTEGR PSYCHOL BEHAV, V49, P174, DOI 10.1007/s12124-015-9301-y
   Sadeghi H, 2011, ACTA HORTIC, V903, P1163
   Sahana M., 2021, GEOL ECOL LANDSC, V5, P40, DOI [10.1080/24749508.2019.1700670, DOI 10.1080/24749508.2019.1700670]
   Salman D, 2017, J HYDROL, V554, P200, DOI 10.1016/j.jhydrol.2017.09.015
   Sharma J, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab24ed
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Singh R, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e16563
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Tubiello FN, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015009
   Turner C, 2021, EUR J CARDIOVASC NUR, V20, P285, DOI 10.1093/eurjcn/zvaa034
   Unkasevic M, 2011, CLIMATIC CHANGE, V108, P207, DOI 10.1007/s10584-010-0006-4
   Wang F, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00014
   Wijngaard RR, 2018, HYDROL EARTH SYST SC, V22, P6297, DOI 10.5194/hess-22-6297-2018
   Zabihi H, 2016, WEATHER CLIM EXTREME, V14, P17, DOI 10.1016/j.wace.2016.10.002
   Zhang CK, 2005, PLANT CELL REP, V23, P764, DOI 10.1007/s00299-004-0883-y
   Zouabi O, 2016, CLIMATIC CHANGE, V139, P307, DOI 10.1007/s10584-016-1784-0
NR 79
TC 5
Z9 5
U1 7
U2 12
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 2023
VL 20
AR 100317
DI 10.1016/j.indic.2023.100317
EA NOV 2023
PG 17
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA CM2A3
UT WOS:001125590300001
OA gold
DA 2025-01-10
ER

PT J
AU Wu, H
   Yu, L
   Shen, XL
   Hua, FY
   Ma, KP
AF Wu, Hui
   Yu, Le
   Shen, Xiaoli
   Hua, Fangyuan
   Ma, Keping
TI Maximizing the potential of protected areas for biodiversity
   conservation, climate refuge and carbon storage in the face of climate
   change: A case study of Southwest China
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Protected areas; Conservation planning; Biodiversity; Climate refuge;
   Carbon storage; SSP scenarios
ID SPECIES DISTRIBUTIONS; UNCERTAINTY; CONNECTIVITY
AB A forward-looking approach that incorporates biodiversity and nature-based solutions is needed for climate change adaptation. In this research, we identified conservation priorities in 2050 for Southwest China (SWC) based on habitat suitability, climate stability, and carbon storage capacity and presented the results for 12 SSPGCMs combinations. Our findings indicate that the mean temperature of the SWC may increase significantly, with the largest predicted rise being of 2.78 degrees C and the smallest being 1.36 degrees C. The carbon storage capacity of terrestrial ecosystems in 89.03 % of the SWC's protected areas (PAs) is forecast to increase by 2050. Among the 237 PAs, habitat suitability is expected to increase in 158 PAs. The climate change intensity in all PAs is expected to remain at a rate of the weakest 15 % in the entire SWC. Based on our research, areas with high habitat suitability, climate stability, and carbon storage capacity at the same time in 2050 would cover 23.80 % of the SWC, with an area of about 550,000 km2. The representation of the SWC's existing PAs network reveals that the PAs' overlap with conservation hotspots is only 13.71 %, with just 12.69 % of these hotspots being adequately protected. Thus we propose a stepwise post-2020 conservation plan for the SWC from now through to the midpoint of the century. By 2030, 25 % of the SWC is expected to be protected, with the target increasing to 33 % and 43 % by 2040 and 2050, respectively. To achieve these goals, significant efforts are required like developing a dynamic future planning mechanisms.
C1 [Wu, Hui; Yu, Le] Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
   [Yu, Le] Minist Educ Ecol Field Stn East Asian Migratory Bi, Beijing 100084, Peoples R China.
   [Yu, Le] Tsinghua Univ, Xian Inst Surveying & Mapping, Joint Res Ctr Next Generat Smart Mapping, Dept Earth Syst Sci, Beijing 100084, Peoples R China.
   [Shen, Xiaoli; Ma, Keping] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China.
   [Hua, Fangyuan] Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 102213, Peoples R China.
C3 Tsinghua University; Tsinghua University; Chinese Academy of Sciences;
   Institute of Botany, CAS; Peking University
RP Yu, L (corresponding author), Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China.
EM leyu@tsinghua.edu.cn
RI Shen, Xiaoli/JNS-5732-2023
FU National Key Research and Development Program of China [2022YFE0209400];
   Tsinghua University Initiative Scientific Research Program [20223080017]
FX This research was funded by the National Key Research and Development
   Program of China (2022YFE0209400) and the Tsinghua University Initiative
   Scientific Research Program (20223080017) .
CR Abolmaali SMR, 2018, ECOL INFORM, V43, P116, DOI 10.1016/j.ecoinf.2017.10.002
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Asamoah EF, 2021, NAT CLIM CHANGE, V11, P1105, DOI 10.1038/s41558-021-01223-2
   Bacon E, 2019, J NAT CONSERV, V51, DOI 10.1016/j.jnc.2019.125723
   Bai Y, 2021, ONE EARTH, V4, P1491, DOI 10.1016/j.oneear.2021.09.010
   Bellard C, 2014, GLOBAL ECOL BIOGEOGR, V23, P1376, DOI 10.1111/geb.12228
   Bhola N, 2021, CONSERV BIOL, V35, P168, DOI 10.1111/cobi.13509
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brawn JD, 2017, NAT CLIM CHANGE, V7, P133, DOI [10.1038/NCLIMATE3183, 10.1038/nclimate3183]
   Brooks TM, 2019, TRENDS ECOL EVOL, V34, P977, DOI 10.1016/j.tree.2019.06.009
   Carroll C, 2018, GLOBAL CHANGE BIOL, V24, P5318, DOI 10.1111/gcb.14373
   Carvalho SB, 2011, BIOL CONSERV, V144, P2020, DOI 10.1016/j.biocon.2011.04.024
   Chacón-Prieto F, 2021, BIOL CONSERV, V260, DOI 10.1016/j.biocon.2021.109186
   Chauvenet ALM, 2020, ONE EARTH, V2, P479, DOI 10.1016/j.oneear.2020.04.013
   Chen GZ, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01208-6
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   Convertino M, 2014, ENVIRON MODELL SOFTW, V51, P296, DOI 10.1016/j.envsoft.2013.10.001
   Cui LB, 2020, CLIM POLICY, V20, P95, DOI 10.1080/14693062.2019.1690968
   D'Aloia CC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00027
   Dinerstein E, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aaw2869
   Dobrowski SZ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00270-z
   Dobrowski SZ, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12349
   Elsen PR, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aay0814
   Eslamdoust J, 2018, J FORESTRY RES, V29, P449, DOI 10.1007/s11676-017-0469-5
   Evans J, 2019, R PEACKAGE VERSION 1
   Ferreira J, 2018, NAT CLIM CHANGE, V8, P744, DOI 10.1038/s41558-018-0225-7
   Fick SE, 2017, INT J CLIMATOL, V37, P4302, DOI 10.1002/joc.5086
   Gao JX, 2019, NATURE, V569, P457, DOI 10.1038/d41586-019-01563-2
   Girardin CAJ, 2021, NATURE, V593, P191, DOI 10.1038/d41586-021-01241-2
   Goldstein JH, 2012, P NATL ACAD SCI USA, V109, P7565, DOI 10.1073/pnas.1201040109
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Heilmayr R, 2020, NAT SUSTAIN, V3, P701, DOI 10.1038/s41893-020-0547-0
   Iwamura T, 2013, GLOBAL ENVIRON CHANG, V23, P1277, DOI 10.1016/j.gloenvcha.2013.07.016
   Jung M, 2021, NAT ECOL EVOL, V5, P1499, DOI 10.1038/s41559-021-01528-7
   Kallimanis AS, 2008, GLOBAL ECOL BIOGEOGR, V17, P532, DOI 10.1111/j.1466-8238.2008.00393.x
   Li BV, 2020, CURR BIOL, V30, pR1334, DOI 10.1016/j.cub.2020.09.025
   Li DL, 2018, GLOBAL CHANGE BIOL, V24, P4095, DOI 10.1111/gcb.14327
   Littlefield CE, 2019, FRONT ECOL ENVIRON, V17, P270, DOI 10.1002/fee.2043
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Locke H., 2013, Parks, V19, P9
   McCarthy DP, 2012, SCIENCE, V338, P946, DOI 10.1126/science.1229803
   McDowell N, 2018, NEW PHYTOL, V219, P851, DOI 10.1111/nph.15027
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   O'Leary BC, 2016, CONSERV LETT, V9, P398, DOI 10.1111/conl.12247
   Oldekop JA, 2016, CONSERV BIOL, V30, P133, DOI 10.1111/cobi.12568
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Phillips SJ, 2017, ECOGRAPHY, V40, P887, DOI 10.1111/ecog.03049
   Polasky S, 2011, TRENDS ECOL EVOL, V26, P398, DOI 10.1016/j.tree.2011.04.007
   Popp A, 2017, GLOBAL ENVIRON CHANG, V42, P331, DOI 10.1016/j.gloenvcha.2016.10.002
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Pryce B., 2006, OKANAGAN ECOREGIONAL, P53
   Reside AE, 2018, BIODIVERS CONSERV, V27, P1, DOI 10.1007/s10531-017-1442-5
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Schmidt-Traub G, 2021, NATL SCI REV, V8, DOI 10.1093/nsr/nwaa139
   Secretariat of the Convention on biological diversity, 2020, Global Biodiversity Outlook, V5
   Shaw M Rebecca, 2012, Conserv Biol, V26, P385, DOI 10.1111/j.1523-1739.2012.01824.x
   Shi H, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2015552118
   Shrestha N, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21914-w
   Soto-Navarro C, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0128
   Strassburg BBN, 2020, NATURE, V586, P724, DOI 10.1038/s41586-020-2784-9
   Tiller R, 2019, MAR POLICY, V99, P239, DOI 10.1016/j.marpol.2018.10.046
   Turner WR, 2007, BIOSCIENCE, V57, P868, DOI 10.1641/B571009
   Wang F, 2021, BIOL CONSERV, V253, DOI 10.1016/j.biocon.2020.108913
   Watson JEM, 2020, NATURE, V578, P360, DOI 10.1038/d41586-020-00446-1
   Wessely J, 2017, NAT CLIM CHANGE, V7, P823, DOI [10.1038/nclimate3414, 10.1038/NCLIMATE3414]
   Wilson E.O., 2016, Half-Earth: Our Planet's Fight for Life
   Wintle BA, 2011, NAT CLIM CHANGE, V1, P355, DOI 10.1038/NCLIMATE1227
   Woodley S., 2019, PARKS, V25, P2, DOI [DOI 10.2305/IUCN.CH.2019.PARKS-25-2SW2.EN, 10.2305/IUCN.CH.2019.PARKS-25-2SW2.en, DOI 10.2305/IUCN.CH.2019.PARKAS-25-2SW2.EN]
   Wu H, 2023, J ENVIRON MANAGE, V330, DOI 10.1016/j.jenvman.2022.117190
   Yang H, 2020, APPL GEOGR, V115, DOI 10.1016/j.apgeog.2019.102135
   Yang R, 2020, SCI ADV, V6, DOI 10.1126/sciadv.abc3436
   Zhu L, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abe4261
NR 73
TC 15
Z9 15
U1 19
U2 61
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD AUG
PY 2023
VL 284
AR 110213
DI 10.1016/j.biocon.2023.110213
EA JUL 2023
PG 13
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA P6YQ0
UT WOS:001052114000001
DA 2025-01-10
ER

PT J
AU Baba, FM
   Ge, H
   Zmeureanu, R
   Wang, LZ
AF Baba, Fuad Mutasim
   Ge, Hua
   Zmeureanu, Radu
   Wang, Liangzhu (Leon)
TI Optimizing overheating, lighting, and heating energy performances in
   Canadian school for climate change adaptation: Sensitivity analysis and
   multi-objective optimization methodology
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Overheating; Lighting and heating use optimization; Sensitivity
   analysis; Future climate; School building; Measured temperature
ID WINDOW DESIGN; CONSUMPTION; BUILDINGS; QUALITY; COMFORT; IMPACT; COST
AB This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. This paper aims to search for the optimum school building design under three simultaneous conflicting objective functions: (1) the minimization of overheating hours to less than 40 h as required by Building Bulletin BB101 building code by using passive mitigation measures, (2) the minimization of heating energy use to less than 15 kW/m2 ac-cording to passive house requirements and thus the reduction of greenhouse gas emissions, and (3) the mini-mization of artificial lighting energy use to less than the current lighting energy use by maximization of daylighting usage without exceeding acceptable glare index in classrooms. Ten building design variables are selected, which could generate approximately 300,000 solutions. The developed methodology reduced the numbers to 14,400 solutions and found seven Pareto solutions that comply with the three objectives and their constraints. High energy-efficient building envelope, appropriate window-wall ratio and window type, natural ventilation during the day, and night cooling can play a key role in achieving the objectives under current weather conditions. An additional cool roof and external overhang will be needed in the medium-term future climate, and an additional movable screen shading will be needed in the long-term future climate.
C1 [Baba, Fuad Mutasim] Univ Sherbrooke, Dept Civil & Bldg Engn, Sherbrooke, PQ J1K 2R1, Canada.
   [Baba, Fuad Mutasim; Ge, Hua; Zmeureanu, Radu; Wang, Liangzhu (Leon)] Concordia Univ, Ctr Zero Energy Bldg Studies, Dept Bldg Civil & Environm Engn, Montreal, PQ H3G 1M8, Canada.
C3 University of Sherbrooke; Concordia University - Canada
RP Baba, FM (corresponding author), Univ Sherbrooke, Dept Civil & Bldg Engn, Sherbrooke, PQ J1K 2R1, Canada.
EM Fuad.Baba@usherbrooke.ca
RI Wang, LEON/JED-3315-2023; Zmeureanu, Radu/HPE-0362-2023
OI Ge, Hua/0000-0003-1368-4301; Zmeureanu, Radu/0000-0003-0469-9499; Wang,
   Leon/0000-0002-0653-3612; Baba, Fuad/0000-0002-9153-4344
FU Natural Sciences and Engineering Research Council (NSERC) of Canada
   through the Advancing Climate Change Science in Canada Program [ACCPJ
   535986-18]; NSERC Discovery Grant [RGPIN/6994-2001]; Gina Cody School of
   Engineering and Computer Science of Concordia University
FX We acknowledge the financial support from the Natural Sciences and
   Engineering Research Council (NSERC) of Canada through the Advancing
   Climate Change Science in Canada Program [#ACCPJ 535986-18] , the NSERC
   Discovery Grant (Grant no. RGPIN/6994-2001) , and the Gina Cody School
   of Engineering and Computer Science of Concordia University are
   acknowledged.
CR [Anonymous], 2022, PASSIVE HOUSE SCH GU
   [Anonymous], 2023, WEBSITE SOFTWARE DES
   [Anonymous], 2007, BS EN 15251
   [Anonymous], 2022, 6212019 ANSIASHRAE
   [Anonymous], 2020, WEATHER NETWORK 36 6
   Arida M., 2017, ENERGY RES J, V7, P24
   Ascione F, 2019, ENERGY, V174, P359, DOI 10.1016/j.energy.2019.02.182
   ASHRAE. ANSI/ASHRAE/IES, 2016, 9012016 ANSIASHRAEIE
   Baba F.M., 2019, BUILD ENG, V125
   Baba FM, 2023, ENERG BUILDINGS, V279, DOI 10.1016/j.enbuild.2022.112710
   Baba FM, 2022, BUILD ENVIRON, V219, DOI 10.1016/j.buildenv.2022.109230
   Baba FM, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108518
   Baba FM, 2019, MATEC WEB CONF, V282, DOI 10.1051/matecconf/201928202066
   Baniassadi A, 2018, BUILD ENVIRON, V132, P263, DOI 10.1016/j.buildenv.2018.01.037
   BB101, 2018, BUILD B DFES
   Calama-Gonzalez CM, 2022, ENERG BUILDINGS, V266, DOI 10.1016/j.enbuild.2022.112109
   Canadian Commission on Building and Fire Codes, 2020, NATL ENERGY CODE CAN, DOI [10.4224/rr3q-hm83, DOI 10.4224/RR3Q-HM83]
   Chaloeytoy K, 2020, BUILDINGS-BASEL, V10, DOI 10.3390/buildings10100180
   Chartered institution of building services engineers (CIBSE), 2017, ARCHITECTURE, V162, P226
   Chegari B, 2021, ENERG BUILDINGS, V239, DOI 10.1016/j.enbuild.2021.110839
   Council of Ministers of Education Canada, 2021, Elementary and secondary education
   De Giuli V, 2012, BUILD ENVIRON, V56, P335, DOI 10.1016/j.buildenv.2012.03.024
   De Luca F., 2019, P 16 IBPSA C SEPT, V2, P4
   De Luca F, 2022, BUILD ENVIRON, V217, DOI 10.1016/j.buildenv.2022.109110
   DOE, 2021, ENERGYPLUS ENG REF D
   European Commission, 2018, 17037 BS EN EUR COMM
   European Committee for Standardization, 2017, 1519312017 CEN
   Ferrara M, 2018, SCI TECHNOL BUILT EN, V24, P513, DOI 10.1080/23744731.2018.1448656
   Fosas D, 2018, BUILD ENVIRON, V143, P740, DOI 10.1016/j.buildenv.2018.07.033
   Gou SQ, 2018, ENERG BUILDINGS, V169, P484, DOI 10.1016/j.enbuild.2017.09.095
   Gouvernement du Quebec, 2021, QUEB INFR PLAN 2017
   Gunay HB, 2016, J BUILD PERFORM SIMU, V9, P567, DOI 10.1080/19401493.2015.1102969
   Hamdy M, 2016, ENERG BUILDINGS, V121, P57, DOI 10.1016/j.enbuild.2016.03.035
   Hamedani Z, 2020, BUILD ENVIRON, V167, DOI 10.1016/j.buildenv.2019.106478
   Hong T, 2017, ENRGY PROCED, V105, P3698, DOI 10.1016/j.egypro.2017.03.855
   Illuminating Engineering Society of North America (IESNA), 2013, LM8312 IES IESNA
   International WELL building institute pbc and Delos Living LLC, 2019, WELL BUILD STAND V1
   Jung YJ, 2021, BUILD ENVIRON, V203, DOI 10.1016/j.buildenv.2021.108061
   Ko W.H., 2017, Building envelope impact on human performance and well-being: experimental study on view clarity
   Lakhdari K, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108173
   Lara RA, 2017, ENRGY PROCED, V111, P1060, DOI 10.1016/j.egypro.2017.03.269
   Li Z, 2018, THEOR APPL CLIMATOL, V132, P1029, DOI 10.1007/s00704-017-2123-8
   Liu C, 2017, BUILD ENVIRON, V122, P1, DOI 10.1016/j.buildenv.2017.05.028
   Merlet Y, 2022, ENERG BUILDINGS, V257, DOI 10.1016/j.enbuild.2021.111776
   Nagpal S, 2019, J BUILD PERFORM SIMU, V12, P1, DOI 10.1080/19401493.2018.1457722
   Narisada K., 2013, Light pollution handbook, V322
   NASA's Goddard Institute for Space Studies (GISS), 2021, GLOBAL CLIMATE CHANG
   National Fenestration Rating Council, US
   Passive House Institute, 2021, WIND COMP DAT
   Paulos J, 2020, APPL ENERG, V266, DOI 10.1016/j.apenergy.2020.114776
   Piccolo A, 2009, BUILD ENVIRON, V44, P1171, DOI 10.1016/j.buildenv.2008.08.013
   Ramasoot T., 2015, BTEC, V2, P200
   Rey A, 2018, ENERGY, V145, P182, DOI 10.1016/j.energy.2017.10.125
   Rossi F, 2016, ENERG BUILDINGS, V114, P96, DOI 10.1016/j.enbuild.2015.04.054
   Saltelli A, 2002, COMPUT PHYS COMMUN, V145, P280, DOI 10.1016/S0010-4655(02)00280-1
   Sbar N.L., 2012, International Journal of Sustainable Built Environment, V1, P125, DOI DOI 10.1016/J.IJSBE.2012.09.001
   Sepúlveda A, 2020, BUILD ENVIRON, V180, DOI 10.1016/j.buildenv.2020.107036
   Shen PY, 2019, ENERGY, V172, P892, DOI 10.1016/j.energy.2019.01.164
   Tabadkani A, 2021, AUTOMAT CONSTR, V121, DOI 10.1016/j.autcon.2020.103450
   The Weather Network B.C, 2021, VILL SCOR HOTT TEMP
   United Nations Educational Scientific and Cultural Organization UNESCO, 2017, MOR 1 HALF CHILDR AD
   Uribe D, 2019, SOL ENERGY, V190, P495, DOI 10.1016/j.solener.2019.07.027
   Valitabar M., 2018, DESIGN OPTIMUM RESPO
   Vanhoutteghem L, 2015, ENERG BUILDINGS, V102, P149, DOI 10.1016/j.enbuild.2015.05.018
   Vukadinovic A, 2021, SOL ENERGY, V224, P1426, DOI 10.1016/j.solener.2021.06.082
   Wargocki P, 2013, BUILD ENVIRON, V59, P581, DOI 10.1016/j.buildenv.2012.10.007
   Warren F.J., 2021, Canada in a Changing Climate: National Issues Report
   Xu YZ, 2021, BUILD ENVIRON, V204, DOI 10.1016/j.buildenv.2021.108142
   Zhai YN, 2019, RENEW ENERG, V134, P1190, DOI 10.1016/j.renene.2018.09.024
   Zhang AX, 2017, ENERG BUILDINGS, V139, P371, DOI 10.1016/j.enbuild.2017.01.048
   Zhang YKorolija., 2016, I, jEPlus-An EnergyPlus simulation manager for parametrics
NR 71
TC 11
Z9 11
U1 2
U2 35
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 JUN 1
PY 2023
VL 237
AR 110336
DI 10.1016/j.buildenv.2023.110336
EA APR 2023
PG 10
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA G6OT3
UT WOS:000990335600001
DA 2025-01-10
ER

PT J
AU Naufal, N
   Mappiasse, MF
   Nasir, MI
AF Naufal, Naufal
   Mappiasse, Muh. Faisal
   Nasir, Muhammad Ilham
TI Adaptation From Maladaptation: A Case study of Community- Based
   Initiatives of the Saddang Watershed
SO FOREST AND SOCIETY
LA English
DT Article
DE Maladaptation; Climate change adaptation; Watershed; Land use change;
   Deforestation; Spatial analysis
ID CLIMATE-CHANGE; LAND-USE; DEFORESTATION; RESILIENCE; SEDIMENTATION;
   EUROPE
AB Over the last few decades, numerous countries have invested vast sums of money and resources in addressing the effects of climate change through adaptation and mitigation measures. Part of these actions, however, resulted in maladaptation. This research investigates the adaptation response to climate change that (potentially) becomes maladaptation for both upstream and downstream watershed communities. This research uses a watershed approach located in the Saddang watershed, one of Indonesia's priority watersheds. The primary data were obtained from observation and in-depth interviews with villagers directly affected by extreme weather (droughts and floods) occurred between 2009 and 2020. The examination of satellite imagery yielded secondary data that revealed changes in land cover, sedimentation, and river flow. This study reveals that by applying a watershed approach, forms of maladaptation are found in the upstream area and have detrimental effects not only on the area itself, but also to the downstream. The upstream deforestation occurring in the period was closely related to the adaptation responses (maladaptation) to the effects of a long drought, which is likely to form a vicious circle between adaptation and exacerbating the impacts of climate change in the coming years. In addition, upstream maladaptations make downstream areas more vulnerable: they divert and create new hazards, and therefore vulnerability of other groups, although some positive examples of adaptation are also found downstream. Programs labeled "climate resilience" with increased food security are applied in both upstream and downstream regions, triggering maladaptation that has a wider impact and illustrating the non-consolidation of adaptation actions that take into account a watershed as a distinct landscape.
C1 [Naufal, Naufal] Univ Muhammadiyah Makassar, Forest Dept, Makassar, Indonesia.
   [Mappiasse, Muh. Faisal] Univ Muslim Maros, Forest Dept, Maros, Indonesia.
   [Nasir, Muhammad Ilham] Tim Layanan Kehutanan Masyarakat TLKM Fdn, Makassar, Indonesia.
C3 Universitas Muhammadiyah Makassar
RP Naufal, N (corresponding author), Univ Muhammadiyah Makassar, Forest Dept, Makassar, Indonesia.
EM naufal@unismuh.ac.id
RI Naufal, Naufal/ADL-2299-2022
OI Mappiasse, Muh Faisal/0000-0002-9201-5677; Naufal,
   NAUFAL/0000-0003-1629-1108
CR Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   ANGELSEN A, 1995, WORLD DEV, V23, P1713, DOI 10.1016/0305-750X(95)00070-S
   Baird J, 2016, SOC NATUR RESOUR, V29, P1214, DOI 10.1080/08941920.2015.1107788
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   BEASLEY DB, 1980, T ASAE, V23, P938, DOI 10.13031/2013.34692
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Bottom DL, 2009, ECOL SOC, V14
   Dalu MTB, 2018, INT J DISAST RISK RE, V28, P481, DOI 10.1016/j.ijdrr.2017.12.009
   Dixon J. A., 2000, ENV EMERGING DEV ISS, V2, P371, DOI [10.1093/acprof:oso/978019, DOI 10.1093/ACPROF:OSO/978019]
   Findlater K, 2022, PEOPLE NAT, V4, P231, DOI 10.1002/pan3.10278
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Gharibreza M, 2022, INT J SEDIMENT RES, V37, P370, DOI 10.1016/j.ijsrc.2021.08.006
   Huang SQ, 2021, LAND-BASEL, V10, DOI 10.3390/land10020210
   Jansen J.M., 1974, Journal of Hydrology, V21, P371, DOI [10.1016/S0022-1694(74)80006-5, DOI 10.1016/S0022-1694(74)80006-5]
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kaushal S, 1999, J PALEOLIMNOL, V22, P439, DOI 10.1023/A:1008027028029
   Kerr J., 2007, INTERNAT J COMMONS, V1, P89, DOI [10.18352/ijc.8, DOI 10.18352/IJC.8]
   Kolok AS, 2009, ENVIRON HEALTH INSIG, V3, P1
   Kuotsuo R., 2014, IND J HILL FAR, V27, P23
   Li X, 2021, ENVIRON MODELL SOFTW, V141, DOI 10.1016/j.envsoft.2021.105058
   Linnenluecke M, 2010, BUS SOC, V49, P477, DOI 10.1177/0007650310368814
   Luo X, 2019, PAP REG SCI, V98, P2157, DOI 10.1111/pirs.12444
   Magnan AK, 2016, WIRES CLIM CHANGE, V7, P646, DOI 10.1002/wcc.409
   Mertz O, 2009, CURR OPIN ENV SUST, V1, P156, DOI 10.1016/j.cosust.2009.10.002
   Mullan M., 2013, National Adaptation Planning: Lessons from OECD Countries, OECD Environment Working Papers
   Nalau J, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100290
   Naufal N, 2022, FOR SOC, V6, P226, DOI 10.24259/fs.v6i1.14117
   Nemec KT, 2014, ECOL SOC, V19, DOI 10.5751/ES-06156-190134
   Neset TS, 2019, CLIM RISK MANAG, V23, P78, DOI 10.1016/j.crm.2018.12.003
   Nunn PD, 2021, OCEAN COAST MANAGE, V205, DOI 10.1016/j.ocecoaman.2021.105554
   Putri A. L. A., 2019, THESIS HASANUDDIN U
   Restrepo JD, 2015, ANTHROPOCENE, V10, P13, DOI 10.1016/j.ancene.2015.09.001
   Rijal S., 2021, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/807/2/022042
   Ristic R, 2013, CARPATH J EARTH ENV, V8, P91
   Rogelj J, 2016, NATURE, V534, P631, DOI 10.1038/nature18307
   Roy P, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.122757
   Sivapalan M, 2014, EARTHS FUTURE, V2, P225, DOI 10.1002/2013EF000164
   Vanmaercke M, 2011, GEOMORPHOLOGY, V130, P142, DOI 10.1016/j.geomorph.2011.03.010
   Warnatzsch EA, 2020, SCI TOTAL ENVIRON, V711, DOI 10.1016/j.scitotenv.2019.134845
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Willows R.I., 2003, CLIMATE ADAPTATION R
   Work C, 2019, CLIM POLICY, V19, pS47, DOI 10.1080/14693062.2018.1527677
   Zagefka H, 2011, EUR J SOC PSYCHOL, V41, P353, DOI 10.1002/ejsp.781
   Zakaria A. K., 2011, Analisis Kebijakan Pertanian, V9, P261
   Zavaleta C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205714
NR 45
TC 2
Z9 2
U1 2
U2 4
PU MAKASSAR, FAK KEHUTANAN UNIV HASANUDDIN
PI MAKASSAR
PA JALAN PERINTIS KEMERDEKAAN KM 10, MAKASSAR, 90245, INDONESIA
SN 2549-4724
EI 2549-4333
J9 FOR SOC
JI For. Soc.
PD APR
PY 2023
VL 7
IS 1
BP 168
EP 183
DI 10.24259/fs.v7i1.19453
PG 16
WC Forestry
WE Emerging Sources Citation Index (ESCI)
SC Forestry
GA G9ZW3
UT WOS:000992661700002
OA gold
DA 2025-01-10
ER

PT J
AU Aslan, CE
   Veloz, S
   Epanchin-Niell, RS
   Brunson, MW
   Sikes, BA
AF Aslan, Clare E.
   Veloz, Samuel
   Epanchin-Niell, Rebecca S.
   Brunson, Mark W.
   Sikes, Benjamin A.
TI Integrating Social and Ecological Predictors to Understand Variation
   within Ecosystems: A Case Study of the Great Smoky Mountains National
   Park PACE
SO NATURAL AREAS JOURNAL
LA English
DT Article
DE coupled natural-human systems; disturbance; ground cover;
   social-ecological systems; stepwise model simplification
ID CLIMATE-CHANGE ADAPTATION; LAND-USE; PROTECTED AREAS;
   RESOURCE-MANAGEMENT; RANGE SHIFTS; BIODIVERSITY; COLLABORATION;
   COOPERATION; AGENCIES; SUPPORT
AB Land management decisions have profound impacts on biological communities. Various administrative units are likely to implement different management decisions, with the result that consistent biological patterns that track administrative boundaries may emerge. To assess these relationships, we collected data on land cover, disturbance evidence, and tree communities in randomized sampling sites located in National Park, US Forest Service Wilderness, and US Forest Service Non-wilderness distributed across the Great Smoky Mountains National Park Protected AreaCentered Ecosystem (GRSM PACE). We examined how present-day values for these ecological responses were linked to both biophysical site characteristics (as the foundation for ecological communities) and jurisdiction type (as categories that integrate the combination of dynamic social decisions and management practices since initial designation). The variable representing administrative unit, jurisdiction type, acted as an umbrella indicator of the management trajectory and social influences that have affected a site and emerged as an important predictor of groundcover types (grass and litter), tree diversity, and wildlife sign at sites across the GRSM PACE. This was an exploratory study with limited sample size, so more data are needed to explore the mechanisms driving these relationships. These initial findings, however, suggest that differences in management activities alter the ecological trajectory of sites across the PACE. Given dynamic and diverse management practices, our data suggest jurisdiction overlaid on biophysical site information may be useful to rapidly assess how socially defined landscape activities impact biological responses, particularly when both are stressed by global change.
C1 [Aslan, Clare E.] No Arizona Univ, Ctr Adaptable Western Landscapes, Flagstaff, AZ 86011 USA.
   [Aslan, Clare E.] Conservat Sci Partners, Truckee, CA 96161 USA.
   [Veloz, Samuel] Point Blue Conservat Sci, Petaluma, CA 94954 USA.
   [Epanchin-Niell, Rebecca S.] Resources Univ Maryland, College Pk, MD 20742 USA.
   [Brunson, Mark W.] Utah State Univ, Environm & Soc Dept, Logan, UT 84322 USA.
   [Sikes, Benjamin A.] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA.
   [Sikes, Benjamin A.] Univ Kansas, Kansas Biol Survey, Lawrence, KS 66045 USA.
C3 Northern Arizona University; Utah System of Higher Education; Utah State
   University; University of Kansas; University of Kansas
RP Aslan, CE (corresponding author), No Arizona Univ, Ctr Adaptable Western Landscapes, Flagstaff, AZ 86011 USA.; Aslan, CE (corresponding author), Conservat Sci Partners, Truckee, CA 96161 USA.
EM clare.aslan@nau.edu
RI Sikes, Benjamin/G-8895-2018
FU National Science Foundation [1617309]; Direct For Biological Sciences;
   Division Of Environmental Biology [1617309] Funding Source: National
   Science Foundation
FX We are deeply grateful to P. Super for assistance with study design and
   permitting. Thanks to M. Sample and the American Conservation Experience
   for intense field effort. We appreciate the permits issued by all
   jurisdictions included in this study. This work was funded by National
   Science Foundation grant 1617309.
CR Ager AA, 2018, RISK ANAL, V38, P2105, DOI 10.1111/risa.12999
   AMBROSE JP, 1990, CONSERV BIOL, V4, P135, DOI 10.1111/j.1523-1739.1990.tb00102.x
   Aslan CE, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3329
   Aslan CE, 2021, LANDSCAPE ECOL, V36, P1215, DOI 10.1007/s10980-021-01198-7
   Austin Z, 2010, WILDLIFE RES, V37, P647, DOI 10.1071/WR10057
   Bartuszevige AM, 2016, WILDLIFE SOC B, V40, P411, DOI 10.1002/wsb.683
   Belote RT, 2020, CONSERV SCI PRACT, V2, DOI 10.1111/csp2.196
   Bergmann SA, 2004, SOC NATUR RESOUR, V17, P377, DOI 10.1080/08941920490430142
   Biber E, 2013, ECOL SOC, V18, DOI 10.5751/ES-06117-180468
   Bihari M, 2012, LANDSCAPE URBAN PLAN, V106, P253, DOI 10.1016/j.landurbplan.2012.03.011
   Bothwell KN, 2019, J FOREST, V117, P226, DOI 10.1093/jofore/fvz010
   Braunstein J.L-A., 2019, THESIS U TENNESSEE
   Brooker RW, 2007, J THEOR BIOL, V245, P59, DOI 10.1016/j.jtbi.2006.09.033
   Charnley S, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab639a
   Crawley M. J., 2013, The R Book, V2nd
   Crow DA, 2015, RISK HAZARDS CRISIS, V6, P69, DOI 10.1002/rhc3.12073
   Dayer AA, 2020, BIOL INVASIONS, V22, P177, DOI 10.1007/s10530-019-02128-0
   DeFries R, 2007, ECOL APPL, V17, P1031, DOI 10.1890/05-1111
   Dressel S, 2018, ENVIRON SCI POLICY, V84, P105, DOI 10.1016/j.envsci.2018.03.007
   Dyson Karen, 2019, Journal of Urban Ecology, V5, pjuz001, DOI 10.1093/jue/juz001
   Epanchin-Niell RS, 2015, AM J AGR ECON, V97, P180, DOI 10.1093/ajae/aau058
   Epanchin-Niell RS, 2010, FRONT ECOL ENVIRON, V8, P210, DOI 10.1890/090029
   Feldmeier S, 2020, DIVERS DISTRIB, V26, P1483, DOI 10.1111/ddi.13146
   Filloy J, 2019, ECOSYSTEMS, V22, P213, DOI 10.1007/s10021-018-0264-y
   Fischer AP, 2012, ENVIRON MANAGE, V49, P1192, DOI 10.1007/s00267-012-9848-z
   Fischer AP, 2019, LANDSCAPE URBAN PLAN, V188, P151, DOI 10.1016/j.landurbplan.2018.02.004
   Fleishman R., 2009, COLLABORATIVE PUBLIC, P31
   Foster D, 2003, BIOSCIENCE, V53, P77, DOI 10.1641/0006-3568(2003)053[0077:TIOLUL]2.0.CO;2
   Gallardo B, 2013, BIOL CONSERV, V160, P225, DOI 10.1016/j.biocon.2013.02.001
   Guerrero AM, 2015, CONSERV LETT, V8, P107, DOI 10.1111/conl.12112
   Hansen AJ, 2007, ECOL APPL, V17, P974, DOI 10.1890/05-1098
   Hansen AJ, 2014, ECOL APPL, V24, P484, DOI 10.1890/13-0905.1
   Hansen AJ, 2011, BIOSCIENCE, V61, P363, DOI 10.1525/bio.2011.61.5.5
   Hector A, 2007, NATURE, V448, P188, DOI 10.1038/nature05947
   Hilty J, 2003, CONSERV BIOL, V17, P132, DOI 10.1046/j.1523-1739.2003.01361.x
   Hughes KW, 2020, MYCOLOGIA, V112, P677, DOI 10.1080/00275514.2020.1740381
   Jacobson Cynthia, 2012, Human Dimensions of Wildlife, V17, P333, DOI 10.1080/10871209.2012.709310
   Jenkins Michael A., 2009, P295
   Johnson K., 2005, Third symposium on hemlock woolly adelgid in the Eastern United States, V384, P232
   Kark S, 2015, CURR OPIN ENV SUST, V12, P12, DOI 10.1016/j.cosust.2014.08.005
   Koontz TM, 2008, CONSERV BIOL, V22, P60, DOI 10.1111/j.1523-1739.2007.00860.x
   Kubisch A, 2013, ECOGRAPHY, V36, P873, DOI 10.1111/j.1600-0587.2012.00062.x
   Latombe G, 2020, NEOBIOTA, P241, DOI 10.3897/neobiota.62.52708
   Marzano M, 2015, BIOL INVASIONS, V17, P1961, DOI 10.1007/s10530-015-0850-2
   Mir DF, 2012, NAT AREA J, V32, P190
   Prior KM, 2018, BIOL INVASIONS, V20, P267, DOI 10.1007/s10530-017-1542-x
   PYLE C, 1988, CASTANEA, V53, P183
   Rechkemmer A, 2009, EPJ WEB CONF, V1, P3, DOI 10.1140/epjconf/e2009-00906-y
   Resnik J.R., 2018, NPSNRSSBRDNRR2018167
   Richards SA, 2008, J APPL ECOL, V45, P218, DOI 10.1111/j.1365-2664.2007.01377.x
   Salinas RA, 2015, NAT RESOUR MODEL, V28, P18, DOI 10.1111/nrm.12055
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Schwartz MW, 2019, BIOSCIENCE, V69, P651, DOI 10.1093/biosci/biz071
   Serra-Diaz JM, 2015, LANDSCAPE ECOL, V30, P1039, DOI 10.1007/s10980-015-0173-9
   Sisk TD, 2006, LANDSCAPE URBAN PLAN, V78, P300, DOI 10.1016/j.landurbplan.2005.10.003
   Snider S., 2004, THESIS OHIO U US
   Steen HaroldK., 1991, The beginning of the National Forest system
   Steinmetz R, 2006, CONSERV BIOL, V20, P1391, DOI 10.1111/j.1523-1739.2006.00505.x
   Sturtevant Victoria., 2005, Social Science To Improve Fuels Management: A Synthesis Of Research On Collaboration
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Walter JA, 2021, ECOSPHERE, V12, DOI 10.1002/ecs2.3390
   Wilson GJ, 2001, WILDLIFE RES, V28, P151, DOI 10.1071/WR00033
   Wood KA, 2017, BIOL REV, V92, P1128, DOI 10.1111/brv.12272
   Young T, 2006, J HIST GEOGR, V32, P169, DOI 10.1016/j.jhg.2004.06.001
   Zellmer Sandra., 2014, Wilderness Imperatives and Untrammeled Nature
NR 65
TC 1
Z9 1
U1 0
U2 9
PU NATURAL AREAS ASSOC
PI ROCKFORD
PA 320 SOUTH THIRD ST, ROCKFORD, IL 61104 USA
SN 0885-8608
EI 2162-4399
J9 NAT AREA J
JI Nat. Areas J.
PD OCT
PY 2022
VL 42
IS 4
BP 284
EP 292
DI 10.3375/22-12
PG 9
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA 5W6TB
UT WOS:000878043200004
DA 2025-01-10
ER

PT J
AU Wanner, MST
AF Wanner, Maximilian S. T.
TI Change in policy regimes for disaster risk reduction in Fiji and Nepal
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Adaptation; Disaster risk reduction; Fiji; Nepal; Policy regime change;
   Punctuated equilibrium
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; FOOD SECURITY; GOVERNANCE;
   RESILIENCE; POLITICS; FRAMEWORK; VULNERABILITY; EARTHQUAKE; CRISIS
AB Much of the disaster risk reduction (DRR) scholarship has focused on failures while neglecting positive developments, particularly in developing countries. In part, this bias reflects the adaptation deficit argument, which suggests we should expect the most vulnerable (i.e., developing) countries to struggle with adaptation due to their socio-political characteristics and heavy exposure to natural hazards. Investigating Fiji and Nepal, this study serves as a plausibility probe, examining how unexpected change in national DRR policy regimes was enabled under such adverse circumstances and exploring the appropriateness of theoretical assumptions suggesting aspects that warrant more testing in future. Following an exploratory approach, this qualitative study uses documentary evidence and secondary literature to illuminate how factors such as leadership, diffusion, and 'focusing events' enabled change. The study finds that in both cases, large-scale disasters accelerated change; however, Fiji was able to build upon continuity in its political leadership, whereas change in Nepal was contingent on international pressure. The findings bolster the case for the theory of 'focusing events', i.e., hazards serving as external shocks opening windows of opportunity, in developing countries. Furthermore, they confirm the importance of continuous commitment and diffusion processes in helping to overcome barriers to adaptation. Thereby, this study refines theoretical assumptions and illustrates the value of studying and learning from success and progress, particularly in the context of developing countries. Finally, the findings of this study underline the need, when analysing the processes of change, to take a closer look at the socio-political contexts - including regime types.
C1 [Wanner, Maximilian S. T.] Uppsala Univ, Dept Govt, Uppsala, Sweden.
   [Wanner, Maximilian S. T.] Uppsala Univ, Ctr Nat Hazards & Disaster Sci CNDS, Uppsala, Sweden.
C3 Uppsala University; Centre of Natural Hazards & Disaster Science (CNDS);
   Uppsala University
RP Wanner, MST (corresponding author), Uppsala Univ, Dept Govt, Uppsala, Sweden.
EM maximilian.wanner@statsvet.uu.se
RI Wanner, Maximilian/AIE-4785-2022
OI Wanner, Maximilian S.T./0000-0003-4299-283X
CR 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
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ahmed I, 2018, PROCEDIA ENGINEER, V212, P986, DOI 10.1016/j.proeng.2018.01.127
   Aksha SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17061985
   [Anonymous], 2012, FIJI NATL PROGR REPO
   [Anonymous], 2014, GREEN GROWTH FRAMEWO
   [Anonymous], 2018, NAT DIS RISK RED POL, P1
   [Anonymous], NEW STRAITS TIMES, V2021
   [Anonymous], 2020, DISASTER RISK REDUCT
   [Anonymous], 2015, EM-DAT: International Disaster Database
   [Anonymous], 2014, PROGR CHALL DIS RISK
   [Anonymous], 2009, NAT STRAT DIS RISK M
   [Anonymous], 2015, The Constitution of Nepal
   [Anonymous], 2005, Climate change, Small Island Developing States
   [Anonymous], 2013, FIJ NAT CLUST SYST D
   [Anonymous], 2011, 2 SOUTH I ADV STUD A
   Anthony, 2021, GUARDIAN
   Aquino DH, 2019, INT J DISAST RISK RE, V33, P355, DOI 10.1016/j.ijdrr.2018.10.020
   Arora S., 2015, INTERSECTIONAL VULNE, P2020, DOI [10.1111/disa.12471, DOI 10.1111/DISA.12471]
   Australian Associated Press, 2018, GUARDIAN 1118
   Barrett S, 2014, WORLD DEV, V58, P130, DOI 10.1016/j.worlddev.2014.01.014
   Bates F., 1963, SOCIAL PSYCHOL CONSE
   Beeson M, 2010, ENVIRON POLIT, V19, P276, DOI 10.1080/09644010903576918
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Berry F.S., 2007, Theories of the policy process, V2, P223, DOI DOI 10.4324/9780367274689-8
   BERRY FS, 1990, AM POLIT SCI REV, V84, P395, DOI 10.2307/1963526
   Bhandari C, 2021, GEOENVIRONMENTAL DIS, V8, DOI 10.1186/s40677-020-00173-9
   Bhandari D., 2020, DISASTER RISK REDUCT
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Birkland T.A., 1997, DISASTER AGENDA SETT
   Birkland T.A., 2016, Oxford Research Encyclopedia of Natural Hazard Science, DOI DOI 10.1093/ACREFORE/9780199389407.013.75
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Bodin O, 2016, GLOBAL ENVIRON CHANG, V41, P183, DOI 10.1016/j.gloenvcha.2016.10.004
   Boin A, 2003, PUBLIC ADMIN REV, V63, P544, DOI 10.1111/1540-6210.00318
   Boin A, 2009, J EUR PUBLIC POLICY, V16, P81, DOI 10.1080/13501760802453221
   Bossio CF, 2019, CLIMATIC CHANGE, V157, P279, DOI 10.1007/s10584-019-02534-2
   Boushey G, 2012, POLICY STUD J, V40, P127, DOI 10.1111/j.1541-0072.2011.00437.x
   Burton Ian., 2009, EARTHSCAN READER ADA
   Chandra A, 2016, CLIM DEV, V8, P256, DOI 10.1080/17565529.2015.1016884
   Chanel S, 2021, GUARDIAN
   Chhetri M.B.P., 2001, Risk Management, V3, P63, DOI DOI 10.1057/PALGRAVE.RM.8240102
   Colebrook C., 2002, GILLES DELEUZE, P29
   Coppedge Michael., 2020, V-Dem Codebook v10. Varieties of Democracy (V-Dem) Project."
   Crow DA, 2021, DISASTERS, V45, P19, DOI 10.1111/disa.12396
   Daly P, 2017, ENVIRON URBAN, V29, P403, DOI 10.1177/0956247817721403
   Dangal R, 2011, NATL PROGR REPORT IM
   Day D., 2014, OXFORD HDB LEADERSHI
   Dekker S, 2004, J PUBL ADM RES THEOR, V14, P211, DOI 10.1093/jopart/muh014
   Dhungana H., 2013, CLIMATE CHANGE RURAL, V16
   Di Baldassarre G, 2018, EARTHS FUTURE, V6, P305, DOI 10.1002/2017EF000764
   DiCarlo J, 2018, AMBIO, V47, P794, DOI 10.1007/s13280-018-1021-3
   Dixit AM, 2018, IMPACTS AND INSIGHTS OF THE GORKHA EARTHQUAKE, P95, DOI 10.1016/B978-0-12-812808-4.00005-5
   Djalante R, 2012, NAT HAZARD EARTH SYS, V12, P2923, DOI 10.5194/nhess-12-2923-2012
   Doherty Ben., 2021, The Guardian
   Dolsak N, 2018, ANNU REV ENV RESOUR, V43, P317, DOI 10.1146/annurev-environ-102017-025739
   Eckstein Harry., 1975, HDB POLITICAL SCI
   Economist Intelligence Unit, 2020, Democracy Index 2019-A year of democratic setbacks and popular protest
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ellis NR, 2019, GEOFORUM, V103, P167, DOI 10.1016/j.geoforum.2018.12.006
   Emerson K, 2015, PUBLIC PERFORM MANAG, V38, P717, DOI 10.1080/15309576.2015.1031016
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Eriksen S, 2021, WORLD DEV, V141, DOI 10.1016/j.worlddev.2020.105383
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   European Union External Action Service (EEAS), 2018, EU ANN REP HUM RIGHT
   European Union External Action Service (EEAS), 2020, EU ANN REP HUM RIGHT
   Fakhruddin B., 2021, ANAL DRR INCLUSION N, P81
   Fankhauser S, 2014, GLOBAL ENVIRON CHANG, V27, P9, DOI 10.1016/j.gloenvcha.2014.04.014
   Forsyth T, 2018, WORLD DEV, V111, P13, DOI 10.1016/j.worlddev.2018.06.023
   Freedom House, 2021, FREED WORLD FIJ
   Gall M., 2014, IRDR AIRDR PUBLICATI, V3
   George AL., 2005, Case studies and theory development in the social sciences
   Gibson, 2019, OXFORD RES ENCY NATU, DOI [10.1093/acrefore/9780199389407.013.187, DOI 10.1093/ACREFORE/9780199389407.013.187]
   GNDR, 2019, VIEWS FRONTL LOC RIS
   GoN, 2017, Disaster Risk Reduction Act and Regulation
   Government of the Republic of Fiji, 2018, NAT AD PLAN PATHW CL
   Granderson AA, 2017, WEATHER CLIM SOC, V9, P545, DOI 10.1175/WCAS-D-16-0094.1
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hall ML, 2017, PUBLIC HEALTH, V145, P39, DOI 10.1016/j.puhe.2016.12.031
   Aquino DH, 2018, PROCEDIA ENGINEER, V212, P475, DOI 10.1016/j.proeng.2018.01.061
   Healy A, 2009, AM POLIT SCI REV, V103, P387, DOI 10.1017/S0003055409990104
   Heltberg R, 2009, GLOBAL ENVIRON CHANG, V19, P89, DOI 10.1016/j.gloenvcha.2008.11.003
   Helvetas Swiss Intercooperation & Rights and Resource Initiative, 2011, PERSP ENV CLIM SER
   Hülssiep M, 2021, DISASTERS, V45, P577, DOI 10.1111/disa.12437
   Human Rights Watch, 2020, World Report 2020: North Korea
   Human Rights Watch, 2018, WORLD REP 2018 NEP
   Human Rights Watch, 2019, WORLD REP 2019
   Hutt M, 2020, CONFL SECUR DEV, V20, P379, DOI 10.1080/14678802.2020.1771848
   Ivaschenko O, 2020, DISASTERS, V44, P455, DOI 10.1111/disa.12411
   Jenkins-Smith Hank C., 1994, J PUBLIC POLICY, V14, P175, DOI [DOI 10.1017/S0143814X00007431, https://doi.org/10.1017/S0143814X00007431]
   Johnston I., 2015, FORUM QUALITATIVE SO, V16, particle 17, DOI 10.17169/fqs-16.1.2220
   Jones BD, 2012, POLICY STUD J, V40, P1, DOI 10.1111/j.1541-0072.2011.00431.x
   Jones RN, 2001, NAT HAZARDS, V23, P197, DOI 10.1023/A:1011148019213
   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
   Kaarbo J, 1999, POLIT PSYCHOL, V20, P369, DOI 10.1111/0162-895X.00149
   Kamkhaji JC, 2017, J EUR PUBLIC POLICY, V24, P714, DOI 10.1080/13501763.2016.1164744
   Kelman I., 2015, Journal of Marine and Island Cultures, V4, P34, DOI DOI 10.1016/J.IMIC.2015.04.001
   Kelman I, 2017, DISASTER PREV MANAG, V26, P254, DOI 10.1108/DPM-02-2017-0043
   Kelman I, 2015, INT J DISAST RISK SC, V6, P117, DOI 10.1007/s13753-015-0046-5
   Kelman I, 2014, GEOGR J, V180, P120, DOI 10.1111/geoj.12019
   Kenis A, 2014, GEOFORUM, V52, P148, DOI 10.1016/j.geoforum.2014.01.009
   Kenis P, 2009, PUBLIC ADMIN, V87, P440, DOI 10.1111/j.1467-9299.2009.01775.x
   Khanal B.N, 2020, Nepal: A Brief Country Profile on Disaster Risk Reduction and Management
   Khatri Dil, 2015, Climate change, local politics and institutional responses in Nepal: A synthesis of research fndings
   Koivisto JE, 2017, ENVIRON HAZARDS-UK, V16, P210, DOI 10.1080/17477891.2016.1218820
   Krasner StephenD., 1984, Comparative Politics, V16, P223
   Lam LM, 2019, INT J DISAST RISK RE, V33, P321, DOI 10.1016/j.ijdrr.2018.10.017
   LEFTWICH A, 1995, J DEV STUD, V31, P400, DOI 10.1080/00220389508422370
   Lemos M.C., 2013, Climate Science for Serving Society: Research, Modeling and Prediction Priorities, P437, DOI DOI 10.1007/978-94-007-6692-1_16
   Levy JS, 2008, CONFLICT MANAG PEACE, V25, P1, DOI 10.1080/07388940701860318
   Liechty M., 2020, RETHINKING CAUSATION, DOI [10.1111/disa.12459.Disasters, DOI 10.1111/DISA.12459.DISASTERS]
   Liou KT, 2014, ENVIR HAZARD, P447, DOI 10.1007/978-3-319-04468-2_25
   Lyons K., 2020, GUARDIAN
   Mansur A., 2017, 1701 WORLD BANK
   Matin N, 2018, WORLD DEV, V109, P197, DOI 10.1016/j.worlddev.2018.04.020
   May Peter., 1991, J PUBLIC POLICY, V11, P187, DOI DOI 10.1017/S0143814X0000619X
   May PJ, 2013, POLICY STUD J, V41, P426, DOI 10.1111/psj.12024
   McMillen H, 2017, REG ENVIRON CHANGE, V17, P579, DOI 10.1007/s10113-016-1032-1
   Meadowcroft J, 2009, POLICY SCI, V42, P323, DOI 10.1007/s11077-009-9097-z
   Melis S, 2022, DISASTERS, V46, P226, DOI 10.1111/disa.12455
   Mikulewicz M, 2019, GEOFORUM, V104, P267, DOI 10.1016/j.geoforum.2019.05.010
   Ministry of Economy, 2017, FIJ NAT AD PLAN FRAM
   Ministry of Foreign Affairs & International Co-operation & National Disaster Management Office, 2014, CONC NOT NAT PLATF D
   Mitchell RB, 2003, ANNU REV ENV RESOUR, V28, P429, DOI 10.1146/annurev.energy.28.050302.105603
   MoHA, 2018, NAT POL DIS RISK RED
   MOORE HE, 1956, AM SOCIOL REV, V21, P733, DOI 10.2307/2088426
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nagoda S, 2017, WORLD DEV, V100, P85, DOI 10.1016/j.worlddev.2017.07.022
   Nakamura N, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01613-w
   National Disaster Risk Reduction and Management Council, 2018, Typhoon Ompong
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nepal P., 2018, Geographical Journal of Nepal, V11, P1, DOI DOI 10.3126/GJN.V11I0.19546
   Nerby J, 2017, DISAS MANAGE
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nightingale AJ, 2011, GEOFORUM, V42, P153, DOI 10.1016/j.geoforum.2010.03.004
   Nohrstedt D, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-020-20435-2
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Olson R.S., 2000, INT J MASS EMERGENCI, V18, P265
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Ostrom E., 1990, GOVERNING COMMONS EV
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Parks BC, 2010, THEOR CULT SOC, V27, P134, DOI 10.1177/0263276409359018
   Paudel J, 2018, WORLD DEV, V111, P1, DOI 10.1016/j.worlddev.2018.06.019
   Penning-Rowsell E, 2006, GLOBAL ENVIRON CHANG, V16, P323, DOI 10.1016/j.gloenvcha.2006.01.006
   Petzold J, 2016, GEOGR J, V182, P123, DOI 10.1111/geoj.12154
   Picard M, 2017, COMMONW LAW BULL, V43, P403, DOI 10.1080/03050718.2017.1439362
   Platt S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101689
   Poudel P, 2019, PROCEEDINGS, V6, DOI [10.3390/IECEHS-1-05712, DOI 10.3390/IECEHS-1-05712]
   Provan KG, 2008, J PUBL ADM RES THEOR, V18, P229, DOI 10.1093/jopart/mum015
   Ratulevo S., 2014, FIJI NATL PROGR REPO
   Rutt RL, 2014, PUBLIC ADMIN DEVELOP, V34, P406, DOI 10.1002/pad.1699
   SABATIER PA, 1988, POLICY SCI, V21, P129, DOI 10.1007/BF00136406
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x
   Schmotz A., 2019, THE HANDBOOK OF POLITICAL, SOCIAL, AND ECONOMIC TRANSFORMATION, P521, DOI 10.1093/oso/9780198829911.001.0001
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   Shah S, 2018, ENVIRON DEV, V28, P83, DOI 10.1016/j.envdev.2018.11.001
   Shipan CR, 2008, AM J POLIT SCI, V52, P840, DOI 10.1111/j.1540-5907.2008.00346.x
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Smith JB, 2009, CLIMATIC CHANGE, V95, P53, DOI 10.1007/s10584-009-9623-1
   SOLECKI WD, 1994, ENVIRON MANAGE, V18, P587, DOI 10.1007/BF02400861
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Tegart WJ McG., 1990, Climate Change: the IPCC Impacts Assessment
   Thapa V, 2019, INT J DISAST RISK RE, V34, P209, DOI 10.1016/j.ijdrr.2018.11.019
   Tierney K, 2012, ANNU REV ENV RESOUR, V37, P341, DOI 10.1146/annurev-environ-020911-095618
   Tiwari K.R, 2017, CURR POLIT EC N W AS, V26, P369
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Tuladhar G., 2012, Journal of Risk Analysis and Crisis Response, V2, P166
   UNDP, DEPTH UNDP NEP
   UNDRR, UNDRR TERM
   UNEP, 2021, Adaptation Gap Report 2021: The Gathering Storm-Adapting to Climate Change in a Post-Pandemic World
   UNISDR-United Nations Office for Disaster Risk Reduction, 2017, GAR ATL UNV GLOB DIS
   United Nations Office for Disaster Risk Reduction, 2019, ECOR OPINION
   Vaidya P., 2017, PREHOSPITAL DISASTER, V32, pS120, DOI [10.1017/s1049023x17003429, DOI 10.1017/S1049023X17003429]
   Vij S, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101911
   Vij S, 2018, ENVIRON SCI POLICY, V81, P77, DOI 10.1016/j.envsci.2017.12.010
   Walch C, 2019, CLIM DEV, V11, P238, DOI 10.1080/17565529.2018.1442794
   Wanner MST, 2020, POLITICS GOV, V8, P256, DOI 10.17645/pag.v8i4.3062
   Wanner MST, 2021, INT ENVIRON AGREEM-P, V21, P113, DOI 10.1007/s10784-020-09490-8
   Warner BP, 2017, CURR OPIN ENV SUST, V29, P69, DOI 10.1016/j.cosust.2017.12.012
   Wendelbo M., 2016, Report for European Institute for Asian Studies
   Wittneben BBF, 2012, ENVIRON SCI POLICY, V15, P1, DOI 10.1016/j.envsci.2011.09.002
   Zorn M, 2018, PERSP GEOGRAPH MARG, V3, P59, DOI 10.1007/978-3-319-59002-8_4
NR 184
TC 0
Z9 0
U1 2
U2 8
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 JUL
PY 2022
VL 77
AR 103030
DI 10.1016/j.ijdrr.2022.103030
EA MAY 2022
PG 16
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA 1V7YL
UT WOS:000806300700004
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Islam, ST
   Akand, MK
   Islam, MN
   Samad, S
   Rishal, FH
AF Islam, Sheikh Tawhidul
   Akand, Md Kamruzzaman
   Islam, Md Nurul
   Samad, Soumic
   Rishal, Faiyad H.
TI Systems thinking approach for disaster resilient and climate smart
   agriculture in Bangladesh
SO INTERNATIONAL JOURNAL OF DISASTER RESILIENCE IN THE BUILT ENVIRONMENT
LA English
DT Article
DE Risk reduction
AB Purpose Linear and narrow focus of climate change and disaster impact assessments on agriculture turns out as a limiting factor to understand how impact conditions trigger changes in the whole system resulting to make problems complicated. The paper aims to identify the micro-level challenges of the agriculture sector and then shows how macro-level planning could be developed and may help the rural peasants of Bangladesh to better cope with the adverse conditions generated as a result of disaster impacts and/or climate change-induced threats. Design/methodology/approach The paper, based on a secondary literature review and primary data generated by the author, shows that agriculture happens as a system where many microelements and processes contribute and benefits from it do not only confine into the final product generation. Using both the primary and secondary data, the paper shows how simplistic approaches to assess disaster impacts on agriculture in Bangladesh are taking place and thus leaving scopes to read properly the more complex and cyclic forms of hazard impacts in the sector by using the systems thinking approach and complex systems methodology. Findings The paper finally suggests how a better and comprehensive understanding of disaster and climate change impacts on agriculture would provide arguments for mainstreaming climate change adaptation and disaster risk reduction actions into regular development planning of the government. Originality/value The authors declare that this submission is their own work, and, to the best of the authors' knowledge, it contains no materials previously published or written by another person or substantial proportions of material which have been accepted for the award of anywhere else.
C1 [Islam, Sheikh Tawhidul] Jahangirnagar Univ, Inst Remote Sensing & GIS, Dhaka, Bangladesh.
   [Akand, Md Kamruzzaman] Ctr Environm & Geog Informat Serv CEGIS, River Delta & Coastal Morphol Div, Dhaka, Bangladesh.
   [Islam, Md Nurul; Samad, Soumic; Rishal, Faiyad H.] Jahangirnagar Univ, Dept Geog & Environm, Dhaka, Bangladesh.
C3 Jahangirnagar University; Jahangirnagar University
RP Samad, S (corresponding author), Jahangirnagar Univ, Dept Geog & Environm, Dhaka, Bangladesh.
EM soumic59@gmail.com
RI Islam, Dr Sheikh Tawhidul/IVH-2058-2023
OI Rishal, Faiyad H/0000-0003-4685-0978; Islam, Sheikh
   Tawhidul/0000-0002-9697-4306
CR [Anonymous], 2000, IMPACT LAND DEGRADAT, DOI DOI 10.1016/j.jhydrol.2017.09.028
   Arnall A., 2010, IDS WORKING PAPERS, V2010, P92
   Capra F., 1997, WEB LIFE NEW SYNTHES, P320
   Checkland, 1980, INT I APPL SYSTEMS A, V1, P350
   Emran SA, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0256694
   General Economics Division Bangladesh Planning Commission, 2020, 8 5 YEAR PLAN FYP 20
   General Economics Division Bangladesh Planning Commission, 2018, BANGL DELT PLAN 2100
   General Economics Division Bangladesh Planning Commission., 2020, PERSP PLANS GOV BANG
   General Economics Division (GED) Bangladesh Planning Commission, 2015, 7 5 YEAR PLAN FYP 20
   Habib I., 1995, Essays in Indian history: Towards a Marxist perception
   IDEAM PNUD MADS DNP CANCILLERIA and FMAM., 2018, 3 NAT COMM BANGL UN, P546
   Islam S.T., 2020, INT ENERGY J, V20
   Jagustovic R, 2019, AGR SYST, V171, P65, DOI 10.1016/j.agsy.2018.12.008
   Ministry of Disaster Management and Relief GOB, 2020, NAT PLAN DIS MAN 202
   Ministry of Environment and Forests GOB, 2009, BANGLADESH CLIMATE C
   NIRAPAD, 2015, LOC WISD IND PRACT M
   O'Donnell M., 2013, Climate change action in Bangladesh, P365, DOI DOI 10.1007/978-4-431-54249-0_19
   Rahman M.M., 2011, ADBI APO WORKSH CLIM, P13
   Rahman S, 2010, SINGAPORE J TROP GEO, V31, P254, DOI 10.1111/j.1467-9493.2010.00394.x
   Schiere J.B., 2004, Emerging Challenges for Farming Systems: Lessons from Australian and Dutch Agriculture, P57
   SNC, 2012, 2 NAT COMM UNFCCC
   USAID, 2011, WINN WISD IND COP PR
   Zhang W., 2018, Systems thinking: an approach for understanding'eco-agri-food systems'
NR 23
TC 5
Z9 5
U1 0
U2 3
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 1759-5908
EI 1759-5916
J9 INT J DISASTER RESIL
JI Int. J. Disaster Resil. Built Environ.
PD MAY 20
PY 2022
VL 13
IS 3
SI SI
BP 286
EP 303
DI 10.1108/IJDRBE-08-2021-0114
EA MAR 2022
PG 18
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 1I5XQ
UT WOS:000767388900001
DA 2025-01-10
ER

PT J
AU Schauberger, G
   Schönhart, M
   Zollitsch, W
   Hörtenhuber, SJ
   Kirner, L
   Mikovits, C
   Baumgartner, J
   Piringer, M
   Knauder, W
   Anders, I
   Andre, K
   Hennig-Pauka, I
AF Schauberger, Guenther
   Schoenhart, Martin
   Zollitsch, Werner
   Hoertenhuber, Stefan J.
   Kirner, Leopold
   Mikovits, Christian
   Baumgartner, Johannes
   Piringer, Martin
   Knauder, Werner
   Anders, Ivonne
   Andre, Konrad
   Hennig-Pauka, Isabel
TI Reduction of the Economic Risk by Adaptation Measures to Alleviate Heat
   Stress in Confined Buildings for Growing-Fattening Pigs Modelled by a
   Projection for Central Europe in 2030
SO AGRONOMY-BASEL
LA English
DT Article
DE farm animal; pig; livestock production; global warming; climate change;
   economic risk assessment; economic impact; resilience; livestock
   farming; adaptation
ID CLIMATE-CHANGE ADAPTATION; LIVESTOCK BUILDINGS; AMMONIA EMISSIONS;
   WEATHER VALUE; STRATEGIES; IMPACT; SUSTAINABILITY; MANAGEMENT; EFFICACY;
   EVENTS
AB Economic risks for livestock production are caused by volatile commodities and market conditions, but also by environmental drivers such as increasing uncertainties due to weather anomalies and global warming. These risks impact the gross margin of farmers and can stimulate investment decisions. For confined pig and poultry production, farmers can reduce the environmental impact by implementing specific adaptation measures (AMs) to reduce heat stress. A simulation model driven by meteorological data was used to calculate indoor climate for 1981 to 2017. This dataset was extrapolated for a projection in the year 2030. The heat stress was calculated for a business-as-usual livestock building and for several AMs. For 2030, the expected value of the reduction of the gross margin was calculated by EUR 3.98 a(-1) per animal place for the business-as-usual scenario. The results show that only energy-saving adaptation measures to reduce the inlet air temperature are appropriate to reduce the economic risk to the level of the year 1980 between EUR 0.03 a(-1) and EUR 1.02 a(-1) per animal place. The efficiency of other AMs to reduce heat stress is distinctly lower (between EUR 2.62 a(-1) and EUR 3.80 a(-1) per animal place). The results in this study can support the decision making of farmers concerning adaptation management and investments. It can inform agricultural policy design as well as technological development.
C1 [Schauberger, Guenther; Mikovits, Christian] Univ Vet Med, Unit Physiol & Biophys, WG Environm Hlth, A-1210 Vienna, Austria.
   [Schoenhart, Martin; Mikovits, Christian] Univ Nat Resources & Life Sci, Inst Sustainable Econ Dev, A-1180 Vienna, Austria.
   [Zollitsch, Werner; Hoertenhuber, Stefan J.] Univ Nat Resources & Life Sci, Dept Sustainable Agr Syst, Div Livestock Sci, A-1180 Vienna, Austria.
   [Kirner, Leopold] Univ Coll Agr & Environm Pedag, A-1130 Vienna, Austria.
   [Baumgartner, Johannes] Univ Vet Med, Inst Anim Welf Sci, A-1210 Vienna, Austria.
   [Piringer, Martin; Knauder, Werner] Dept Environm Meteorol, Cent Inst Meteorol & Geodynam, A-1190 Vienna, Austria.
   [Anders, Ivonne] German Climate Comp Ctr DKRZ, D-20416 Hamburg, Germany.
   [Anders, Ivonne; Andre, Konrad] Cent Inst Meteorol & Geodynam, Dept Climatol, A-1190 Vienna, Austria.
   [Hennig-Pauka, Isabel] Univ Vet Med Hannover, Field Stn Epidemiol, D-49456 Bakum, Germany.
C3 University of Veterinary Medicine Vienna; BOKU University; BOKU
   University; University of Veterinary Medicine Vienna; University of
   Veterinary Medicine Hannover
RP Schauberger, G (corresponding author), Univ Vet Med, Unit Physiol & Biophys, WG Environm Hlth, A-1210 Vienna, Austria.
EM gunther.schauberger@vetmeduni.ac.at; Martin.Schoenhart@boku.ac.at;
   Werner.Zollitsch@boku.ac.at; Stefan.Hoertenhuber@boku.ac.at;
   leopold.kirner@haup.ac.at; Christian.Mikovits@boku.ac.at;
   Johannes.Baumgartner@vetmeduni.ac.at; martin1956@gmx.at;
   Werner.Knauder@zamg.ac.at; Anders@dkrz.de; Konrad.Andre@zamg.ac.at;
   Isabel.Hennig-Pauka@tiho-hannover.de
RI Mikovits, Christian/AAC-8712-2019; Schauberger, Gunther/C-6543-2009
OI Schauberger, Gunther/0000-0003-2418-3692; Baumgartner,
   Johannes/0000-0001-8555-1378; Hennig-Pauka, Isabel/0000-0003-3994-5979;
   Hortenhuber, Stefan/0000-0002-0602-3049; Piringer,
   Martin/0000-0002-7583-8700; Mikovits, Christian/0000-0001-6048-1916;
   Schonhart, Martin/0000-0002-3340-658X
FU Austrian Climate and Energy Fund [ACRP8-PiPoCooL-KR15AC8K12646];
   University of Veterinary Medicine Vienna
FX The investigation was partly funded by the project PiPoCooL Climate
   change and future pig and poultry production: implications for animal
   health, welfare, performance, environment and economic consequences by
   the Austrian Climate and Energy Fund in the framework of the Austrian
   Climate Research Program (ACRP8-PiPoCooL-KR15AC8K12646). Open Access
   Funding by the University of Veterinary Medicine Vienna.
CR Anders I, 2014, ADV GLOB CHANGE RES, V58, P17, DOI 10.1007/978-94-007-7960-0_2
   [Anonymous], 2016, OXFORD MARTIN SCH PO
   [Anonymous], 2017, EUR UN EM INV REP 19
   [Anonymous], 2017, INT COMP PIG PRODUCT
   [Anonymous], 2016, 20162284 EU
   Backes A, 2016, ATMOS ENVIRON, V131, P55, DOI 10.1016/j.atmosenv.2016.01.041
   Backes AM, 2016, ATMOS ENVIRON, V126, P153, DOI 10.1016/j.atmosenv.2015.11.039
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Beniston M, 2017, ENVIRON SCI POLICY, V67, P27, DOI 10.1016/j.envsci.2016.11.008
   Bett B, 2017, PREV VET MED, V137, P119, DOI 10.1016/j.prevetmed.2016.11.019
   Bokowa A, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12020206
   BPEX, 2013, 2012 PIG COST PROD S
   Brink C., 2011, EUROPEAN NITROGEN AS
   Cai XM, 2015, WIRES WATER, V2, P439, DOI 10.1002/wat2.1089
   COPA/COGECA, 2004, ASS IMP HEAT WAV DRO
   Della-Marta PM, 2008, ADV GLOB CHANGE RES, V33, P235, DOI 10.1007/978-1-4020-6766-2_16
   Della-Marta PM, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2007JD008510
   Dittrich R, 2017, REG ENVIRON CHANGE, V17, P1701, DOI 10.1007/s10113-017-1134-4
   Edwards W., 2015, COMPUTING LIVESTOCK
   EMEP/EEA, 2019, EMEPEEA AIR POLLUTNT
   Fernandes JN, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11020104
   Fouad A. M., 2016, International Journal of Poultry Science, V15, P81
   Gerber PJ, 2013, Tackling climate change through livestock-A global assessment of emissions and mitigation opportunities
   Giannakis E, 2019, ENVIRON SCI EUR, V31, DOI 10.1186/s12302-019-0275-0
   Hatfield JL, 2020, CLIMATIC CHANGE, V163, P1719, DOI 10.1007/s10584-018-2222-2
   Huynh TTT, 2005, HEAT STRESS GROWING
   KTBL, 2018, FAUSTZ LANDW, V15, P1384
   Kuehling J, 2021, ANIMAL, V15, DOI 10.1016/j.animal.2020.100078
   Mellor DJ, 2016, ANIMALS, V6, DOI 10.3390/ani6030021
   Mikovits C, 2019, INT J BIOMETEOROL, V63, P221, DOI 10.1007/s00484-018-01655-0
   Mitter H, 2018, J ENVIRON MANAGE, V209, P286, DOI 10.1016/j.jenvman.2017.12.063
   Morgan ER, 2009, TRENDS PARASITOL, V25, P308, DOI 10.1016/j.pt.2009.03.012
   Muhlbauer R., 2011, P ALL D LEM SWIN C M
   Murray-Tortarolo GN, 2019, CLIMATIC CHANGE, V153, P79, DOI 10.1007/s10584-019-02373-1
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   Ni JQ, 1999, J AGR ENG RES, V72, P1, DOI 10.1006/jaer.1998.0342
   Niamir-Fuller M, 2016, REV SCI TECH OIE, V35, P371, DOI 10.20506/rst.35.2.2531
   North Michelle A., 2020, AgriRxiv, DOI 10.31220/agriRxiv.2020.00022
   Orth R, 2016, SCI REP-UK, V6, DOI 10.1038/srep28334
   Özkan S, 2016, ENVIRON RES, V151, P130, DOI 10.1016/j.envres.2016.07.033
   Pearce SC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070215
   Piringer M, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12091149
   Prettenthaler F, 2016, SCI TOTAL ENVIRON, V543, P1010, DOI 10.1016/j.scitotenv.2015.04.035
   Renaudeau D, 2012, ANIMAL, V6, P707, DOI 10.1017/S1751731111002448
   Robinson T., 2011, Global livestock production systems
   Rojo-Gimeno C, 2016, PREV VET MED, V129, P74, DOI 10.1016/j.prevetmed.2016.05.001
   Schauberger G, 2000, INT J BIOMETEOROL, V43, P154, DOI 10.1007/s004840050002
   Schauberger G, 1999, J AGR ENG RES, V74, P251, DOI 10.1006/jaer.1999.0457
   Schauberger G, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11020122
   Schauberger G, 2020, BIOSYST ENG, V200, P157, DOI 10.1016/j.biosystemseng.2020.09.010
   Schauberger G, 2019, CLIMATIC CHANGE, V156, P567, DOI 10.1007/s10584-019-02525-3
   Schauberger G, 2018, BIOSYST ENG, V175, P106, DOI 10.1016/j.biosystemseng.2018.09.001
   Schiavon S, 2000, BRIT J NUTR, V84, P873
   Schonwiese C.-D., 2013, PRAKTISCHE STAT METE
   Skuce PJ, 2013, ANIMAL, V7, P333, DOI 10.1017/S175173111300075X
   St-Pierre NR, 2003, J DAIRY SCI, V86, pE52, DOI 10.3168/jds.S0022-0302(03)74040-5
   Sulikowska A, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050612
   Sutton RT, 2018, EARTH SYST DYNAM, V9, P1155, DOI 10.5194/esd-9-1155-2018
   Toeglhofer C, 2012, WEATHER CLIM SOC, V4, P190, DOI 10.1175/WCAS-D-11-00062.1
   UN ECE, 2015, FRAM COD GOOD AGR PR
   van Dijk J, 2010, ANIMAL, V4, P377, DOI 10.1017/S1751731109990991
   Vitt R, 2017, BIOSYST ENG, V164, P85, DOI 10.1016/j.biosystemseng.2017.09.013
   Wall R, 2011, VET PARASITOL, V180, P82, DOI 10.1016/j.vetpar.2011.05.030
   Xiong Y, 2020, J APPL MICROBIOL, V128, P840, DOI 10.1111/jam.14504
   Xu L, 2012, ATMOS CHEM PHYS, V12, P9479, DOI 10.5194/acp-12-9479-2012
NR 65
TC 1
Z9 1
U1 1
U2 13
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD FEB
PY 2022
VL 12
IS 2
AR 248
DI 10.3390/agronomy12020248
PG 18
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA ZL0VJ
UT WOS:000763398000001
OA gold
DA 2025-01-10
ER

PT J
AU Balehegn, M
   Ayantunde, A
   Amole, T
   Njarui, D
   Nkosi, BD
   Müller, FL
   Meeske, R
   Tjelele, TJ
   Malebana, IM
   Madibela, OR
   Boitumelo, WS
   Lukuyu, B
   Weseh, A
   Minani, E
   Adesogan, AT
AF Balehegn, Mulubrhan
   Ayantunde, Augustine
   Amole, Tunde
   Njarui, Dennis
   Nkosi, Bhutikini D.
   Muller, Francuois L.
   Meeske, Robin
   Tjelele, Tlou J.
   Malebana, Ingrid M.
   Madibela, Othusitse R.
   Boitumelo, Wame S.
   Lukuyu, Ben
   Weseh, Addah
   Minani, Elias
   Adesogan, Adegbola T.
TI Forage conservation in sub-Saharan Africa: Review of experiences,
   challenges, and opportunities
SO AGRONOMY JOURNAL
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; PROSOPIS-JULIFLORA PODS; TECHNOLOGY ADOPTION;
   NUTRITIVE-VALUE; RICE STRAW; SILAGE; LIVESTOCK; FEED; DIGESTIBILITY;
   FERMENTATION
AB Forage conservation is an important potential solution to seasonal variation in feed quality and quantity and herder-farmer conflicts in sub-Saharan Africa (SSA). Considerable variations exist in the type of forages conserved and the preservation methods across SSA. Hay from cultivated forages is commonly made with mechanical mowers and balers by large-scale commercial farms. In contrast, smallholder farmers, who dominate farming on the continent, make hay from natural pastures and straw from crop residues or stockpiled forage. Mechanized harvesting and storing of silage are also practiced by commercial farmers in various countries including South Africa, Nigeria, and Kenya. Smallholder farmers rarely make silage, despite repeated recommendations about its potential to bridge the dry season feed gap. This is due to the limited resources, knowledge, and skills. Hay and silage produced by smallholders is typically poor in quality due to use of lower quality forages, improper storage methods, and lack of an economic incentive because feed prices do not reflect quality in most regions. This paper discusses the status of forage conservation across SSA and recommends strategic interventions and technologies to improve the quantity, quality, safety, pricing, and utilization of preserved forages in SSA. Key deductions include the need to raise awareness about their role in bridging the feed gap, to build capacity and invest in appropriate technology, to optimize their production and use, to develop mechanisms to relate prices to quality, and to incentivize women and youth and the private sector to engage further in making and selling preserved forages.
C1 [Balehegn, Mulubrhan; Adesogan, Adegbola T.] Univ Florida, Feed Future Innovat Lab Livestock Syst, Gainesville, FL 32611 USA.
   [Balehegn, Mulubrhan] Mekelle Univ, Dept Anim Rangeland & Wildlife Sci, Mekelle, Ethiopia.
   [Ayantunde, Augustine; Amole, Tunde] Int Livestock Res Inst ILRI, Dakar, Senegal.
   [Njarui, Dennis] Kenya Agr & Livestock Res Org, Nairobi, Kenya.
   [Nkosi, Bhutikini D.; Muller, Francuois L.; Tjelele, Tlou J.; Malebana, Ingrid M.] ARC Anim Prod, Irene, South Africa.
   [Nkosi, Bhutikini D.] Univ Free State, Ctr Sustainable Agr, Rural Dev & Extens, Bloemfontein, South Africa.
   [Meeske, Robin] Directorate Anim Sci, Dept Agr Western Cape, Outeniqua Res Farm, George, Western Cape, South Africa.
   [Madibela, Othusitse R.; Boitumelo, Wame S.; Minani, Elias] Botswana Univ Agr & Nat Resources, Dept Anim Sci & Prod, Gaborone, Botswana.
   [Lukuyu, Ben] Int Livestock Res Inst, Kampala, Uganda.
   [Weseh, Addah] Univ Dev Studies, Dept Anim Sci, Tamale, Ghana.
   [Adesogan, Adegbola T.] Univ Florida, IFAS, Dept Anim Sci, POB 110910, Gainesville, FL 32608 USA.
   [Adesogan, Adegbola T.] Univ Florida, IFAS, Food Syst Inst, POB 110910, Gainesville, FL 32608 USA.
C3 State University System of Florida; University of Florida; Mekelle
   University; CGIAR; International Livestock Research Institute (ILRI);
   University of the Free State; CGIAR; International Livestock Research
   Institute (ILRI); University for Development Studies; State University
   System of Florida; University of Florida; State University System of
   Florida; University of Florida
RP Balehegn, M (corresponding author), Univ Florida, Feed Future Innovat Lab Livestock Syst, Gainesville, FL 32611 USA.
EM mu.gebremikael@ufl.edu
RI Madibela, Othusitse Ricky/HTP-9786-2023; Nkosi, Douglas/AAE-9041-2020;
   Gebremikael, Mulubrhan Balehegn/W-2661-2017
OI Gebremikael, Mulubrhan Balehegn/0000-0001-6832-8369; Muller,
   Francuois/0000-0002-7211-6163; Ayantunde, Augustine
   A/0000-0001-6971-5440
CR Abebe A., 2012, Tropical and Subtropical Agroecosystems, V15, P261
   Abusuwar A. O., 2010, Agriculture and Biology Journal of North America, V1, P243
   Adams Martin., 2003, AUSTRIAN J DEV STUDI, VXIX, P55, DOI [10.20446/JEP-2414-3197-19-1-55, DOI 10.20446/JEP-2414-3197-19-1-55]
   Adesoji A. T., 2010, AU Journal of Technology, V14, P11
   African Union Interafrican Bureau for Animal Resources (AU-IBAR), 2016, LIV POL LANDSC AFR R
   Ajayi FT, 2011, LIVEST SCI, V142, P80, DOI 10.1016/j.livsci.2011.06.020
   Akwango D.A., 2016, AFR J RURAL DEV, V1, P281
   Alabi JO, 2013, TROP ANIM HEALTH PRO, V45, P1349, DOI 10.1007/s11250-013-0368-5
   Alemu D, 2020, TROP ANIM HEALTH PRO, V52, P123, DOI 10.1007/s11250-019-01986-z
   Alexandratos N., 2012, ESA Working Paper, DOI 10.22004/ag.econ.288998
   Alvarez Aranguiz A., 2019, Quick scan of Ethiopias forage sub-sector: Netherlands east African dairy partnership (NEADAP) working paper
   Amole T. A., 2015, Pertanika Journal of Tropical Agricultural Science, V38, P329
   Amole T.A., 2016, 178 CGIAR CCAFS
   Anaeto M., 2013, Glob. J. Sci. Front. Res. D. Agr. Vet. Sci., V13, P1
   Animal Production and Range Research Unit (APRRU), 1990, ANN REPORT, P54
   Animal Production Research Unit (APRU), 1980, ANN REPORT, P78
   Antwi C., 2010, Ghana. J. Anim. Sci., V5, P32
   Aranguiz A.A., 2019, WHITE PAPER PATHWAYS
   Asaolu V.O., 1988, P CASS LIV FEED AFR, P39
   Ayantunde, 2020, VIRT GEN M INN LAB L
   Ayantunde, 2021, EQUIP PROJECT SUBAWA
   Ayantunde A. A., 2014, Revue d'Elevage et de Medecine Veterinaire des Pays Tropicaux, V67, P13
   Babayemi OJ, 2009, AFR J BIOTECHNOL, V8, P3983
   Balehegn M, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100372
   Balehegn M, 2017, CLIM CHANG MANAG, P493, DOI 10.1007/978-3-319-49520-0_30
   Balehegn M, 2015, AFR J RANGE FOR SCI, V32, P183, DOI 10.2989/10220119.2014.942368
   Balehey S, 2018, PASTORALISM, V8, DOI 10.1186/s13570-018-0129-1
   Baltenweck I, 2020, NAT PLANTS, V6, P1242, DOI 10.1038/s41477-020-00786-w
   Bareeba F. B., 1992, Nomadic Peoples, P91
   Bartholomew P.E., 2000, ESTABLISHMENT PASTUR
   Batisani N, 2010, APPL GEOGR, V30, P483, DOI 10.1016/j.apgeog.2009.10.007
   Berhane G, 2006, SMALL RUMINANT RES, V64, P233, DOI 10.1016/j.smallrumres.2005.04.020
   Bernardes TF, 2018, J DAIRY SCI, V101, P4001, DOI 10.3168/jds.2017-13703
   Blummel M., 2019, OPPORTUNITIES MAXIMI
   Brown D, 2018, J APPL ANIM RES, V46, P248, DOI 10.1080/09712119.2017.1289939
   Chedly K., 2000, FAO Plant Production and Protection Paper, P85
   Conroy C., 2005, PARTICIPATORY LIVEST
   Creemers J., 2019, QUICK SCAN UGANDAS F
   Davis K. E., 2008, Journal of International Agricultural and Extension Education, V15, P15
   Dione M.M., 2015, LIVESTOCK RES RURAL, V27, P1
   Djibrina A., 2015, 001 MIN AGR
   Dube S., 2009, STATUS POSTGRADUATE
   Dugmore T.J., 1995, DAIRYING KWA ZULU NA, P157
   Duguma B., 2012, OROMIA REGIONAL STAT, V20, P25
   Elbasha E., 1999, EXPOSTECONOMIC IMPAC
   FAO, 2018, ETH REP FEED INV FEE
   Fernandez I, 2004, LIVEST PROD SCI, V89, P147, DOI 10.1016/j.livprodsci.2004.02.011
   Feyissa F., 2013, J AGR RES DEV, V3, P82
   Fischer G, 2018, J RURAL STUD, V64, P112, DOI 10.1016/j.jrurstud.2018.09.012
   Food and Agriculture Organization (FAO), 2013, UG PAST MAK HAY BEAT
   Food and Agriculture Organization (FAO), 2014, MEAT CONS
   Gansu Economic Daily, 2018, GANSU DAILY NEWS GRO
   Garcuia C.G.M., 2021, TROP SUBTROP AGROECO, V24
   Getnet K., 2016, ETHIOPIA ANIMAL PROD, V57, P1962, DOI [10.1071/AN15651, DOI 10.1071/AN15651]
   Ghimire S.R., 2019, Climate-Smart Brachiaria for Improving Livestock Production in East Africa: Emerging Opportunities
   Gonfa L., 2015, THESIS HARAMAYA U HA
   Gonzalez-Valadez M, 2008, BIOSYST ENG, V100, P66, DOI 10.1016/j.biosystemseng.2008.02.002
   Hadgu G. Z., 2015, Tropical and Subtropical Agroecosystems, V18, P195
   HAIGH PM, 1990, GRASS FORAGE SCI, V45, P263, DOI 10.1111/j.1365-2494.1990.tb01949.x
   Hardy, 1995, B GRASSLAND SOC SO A, V6, P36
   Hintsa K., 2015, LIVESTOCK RES RURAL, P27
   Jarial S.M.B., 2017, PAN AFR GRAIN LEG WO
   Kabirizi J., 2004, UGANDA J AGR SCI, V9, P906
   Kebede Getahun, 2020, Ethiopian Journal of Agricultural Sciences, V30, P177
   Kebede Yadete G., 2019, Sugarcane by products as feed resources and performance of sheep fed on sugarcane tops based diets
   Kilelu CW, 2022, J AGRIC EDUC EXT, V28, DOI 10.1080/1389224X.2021.1888759
   Kima SA, 2015, PASTORALISM, V5, DOI 10.1186/s13570-015-0034-9
   Kitaba A., 2007, Agricultura Tropica et Subtropica, V40, P7
   Koech OK., 2016, ECOL PROCESS, V5, P3, DOI [DOI 10.1186/s13717-016-0048-2, 10.1186/s13717-016-0048-2]
   Konlan SP, 2018, TROP ANIM HEALTH PRO, V50, P169, DOI 10.1007/s11250-017-1418-1
   Kung L., 2001, Focus on Forage, V3, P1
   Lamidi A.A., 2018, African Journal of Agriculture Technology and Environment, V7, P44
   Lewa K.K., 2013, P AN PROD SOC KEN 20, P9
   Ludgate N., 2020, HUMAN I CAPACITY DEV
   Lugusa KO, 2016, PASTORALISM, V6, DOI 10.1186/s13570-016-0053-1
   Lukuyu B.A., 2013, COSTS BENEFITS ANAL
   Lukuyu B.A., 2011, FEEDS FEEDING PRACTI
   Macala J., 1995, NUTRIENT COMPOSITION
   Machin D. H., 2000, FAO Plant Production and Protection Paper, P71
   Madibela O. R., 2002, Livestock Research for Rural Development, V14, P1
   Madzonga Z, 2014, J ANIM PLANT SCI, V24, P1085
   Mahgoub O, 2005, ANIM FEED SCI TECH, V121, P319, DOI 10.1016/j.anifeedsci.2005.01.016
   Makau DN, 2019, PREV VET MED, V172, DOI 10.1016/j.prevetmed.2019.104787
   Makori J.A., 2007, THESIS EGERTON U
   Maleko D, 2018, TROP ANIM HEALTH PRO, V50, P1653, DOI 10.1007/s11250-018-1609-4
   Maleko D, 2018, INT J AGR SUSTAIN, V16, P201, DOI 10.1080/14735903.2018.1440474
   Manyawu G, 2016, AFR J RANGE FOR SCI, V33, P247, DOI 10.2989/10220119.2016.1256349
   Maphane G.K., 1999, STRATEGIES DRY SEASO, P12
   Mapiye C, 2011, ANIM FEED SCI TECH, V164, P135, DOI 10.1016/j.anifeedsci.2011.01.006
   Mapiye C, 2009, LIVEST SCI, V126, P206, DOI 10.1016/j.livsci.2009.07.001
   Matshaba G.R., 2014, P 6 ALL AFR C AN AGR
   Mattoni M, 2007, ITAL J ANIM SCI, V6, P318, DOI 10.4081/ijas.2007.1s.318
   Mayouf R., 2015, LIVESTOCK RES RURAL, V27
   Mbatha KR, 2018, ANIM NUTR, V4, P1, DOI 10.1016/j.aninu.2017.12.003
   Meeske R, 2002, ANIM FEED SCI TECH, V97, P159, DOI 10.1016/S0377-8401(01)00352-2
   Mekonnen H, 2010, TROP ANIM HEALTH PRO, V42, P209, DOI 10.1007/s11250-009-9408-6
   Mekuria W, 2011, LAND DEGRAD DEV, V22, P334, DOI 10.1002/ldr.1001
   Mekuriaw S, 2020, ANIMALS-BASEL, V10, DOI 10.3390/ani10061021
   Melese G., 2014, GREENER J AGR SCI, P067, DOI [10.15580/gjas.2014.2.1202131003, DOI 10.15580/GJAS.2014.2.1202131003]
   Mengistu A., 2016, Academic Research Journal of Agricultural Science and Research, V4, P285
   Methu J.N., 2021, MULTIFUNCTIONAL GRAS
   Millogo V., 2010, THESIS SWEDISH U AGR
   Mitiku AA, 2020, MICROB BIOTECHNOL, V13, P1477, DOI 10.1111/1751-7915.13626
   Mogotsi K., 2020, J AGR ECOLOGY RES IN, P16, DOI [10.9734/jaeri/2020/v21i830158, DOI 10.9734/JAERI/2020/V21I830158]
   Mohammed B., 2013, African Journal of Agricultural Research, V8, P2326
   Müller FL, 2019, AFR J RANGE FOR SCI, V36, P105, DOI 10.2989/10220119.2018.1552622
   Müller FL, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6230-x
   Mugabe PH, 2016, AFR J RANGE FOR SCI, V33, P173, DOI 10.2989/10220119.2016.1234509
   Mugweni B.Z., 2000, 3 WORKSH LIV PROD PR, P82
   Muinga R.W., 2015, CASSAVA BASED NAPIER
   Muller C.J.C., 2017, DAIRY FARMING HDB
   Mulugeta A., 2015, THESIS
   Muyekho F., 1999, E AFR AGR FORESTRY J, V65, P167, DOI [10.4314/eaafj.v65i1.1767, DOI 10.4314/EAAFJ.V65I1.1767]
   Mwamuye M.K., 2013, KENYA INT J BUSINESS, V2, P1
   Mwilawa AJ, 2008, AFR J ECOL, V46, P85, DOI 10.1111/j.1365-2028.2008.00934.x
   Nakano Y, 2018, WORLD DEV, V105, P336, DOI 10.1016/j.worlddev.2017.12.013
   Ndathi A.J.N., 2012, LIVESTOCK RES RURAL, V24, P28
   Ndleleni NW, 2020, S AFR J ANIM SCI, V50, P17, DOI 10.4314/sajas.v50i1.3
   Ngwa TA, 2004, J SCI FOOD AGR, V84, P521, DOI 10.1002/jsfa.1650
   Njarui D. M. G., 2011, Livestock Research for Rural Development, V23, P111
   Nkosi BD, 2009, ANIM FEED SCI TECH, V154, P193, DOI 10.1016/j.anifeedsci.2009.09.009
   Ntokome K., 2019, THESIS BOTSWANA U AG
   Nyamukanza CC, 2008, AFR J RANGE FOR SCI, V25, P131, DOI 10.2989/AJRF.2008.25.3.5.602
   Oguntoye K.S.I., 2018, ASSESSING IMPACTS TE
   Okantah S.A., 2007, GHANA J ANIMAL SCI, V2, P183
   Olorunnisomo O. A., 2011, SAADC 2011 strategies and challenges for sustainable animal agriculture-crop systems, Volume III: full papers. Proceedings of the 3rd International Conference on sustainable animal agriculture for developing countries, Nakhon Ratchasima, Thailand, 26-29 July, 2011, P201
   Osafo ELK, 1997, ANIM SCI, V65, P55, DOI 10.1017/S1357729800016295
   Oude Elferink S. J. W. H., 1999, FAO EL C TROP SIL
   Palmer T, 2006, Country Pasture/Forage Resource Profiles: South Africa
   Phiri M. S., 2007, Tropical and Subtropical Agroecosystems, V7, P149
   Piltz JW, 2004, SUCCESSFUL SILAGE, P25
   Prasad K., 2019, MOBILE HAND HELD NEA
   Prospero-Bernal F, 2017, TROP ANIM HEALTH PRO, V49, P1537, DOI 10.1007/s11250-017-1360-2
   Raza S.H., 2000, FAO PLANT PRODUCTION
   Reiber C, 2009, EXP AGR, V45, P209, DOI 10.1017/S0014479709007522
   Renzaho NP, 2020, Open J Anim Sci, V10, P627, DOI DOI 10.4236/OJAS.2020.103041
   Ritchie H., 2017, Meat and Seafood Production and Consumption
   Roschinsky R, 2012, GRASS FORAGE SCI, V67, P199, DOI 10.1111/j.1365-2494.2011.00834.x
   Samuels I, 2016, AFR J RANGE FOR SCI, V33, P1, DOI 10.2989/10220119.2015.1029972
   Sarnklong C, 2010, ASIAN AUSTRAL J ANIM, V23, P680, DOI 10.5713/ajas.2010.80619
   Sawal RK, 2004, ASIAN AUSTRAL J ANIM, V17, P719, DOI 10.5713/ajas.2004.719
   SCHIERE JB, 1993, ANIM FEED SCI TECH, V43, P135, DOI 10.1016/0377-8401(93)90148-D
   Scholtz GDJ, 2009, S AFR J ANIM SCI, V39, P179
   Sikumba, 2017, IMPLICATIONS INTRO F
   Snijders P.J.M., 2004, FAO EL C TROP SIL
   Suttie J.M., 2000, HAY STRAW CONSERVATI
   Tarawali SA, 2005, TROP GRASSLANDS, V39, P211
   Tegegne F., 2001, Cactus (Opuntia Spp.) as Forage, P91
   Teklehaimanot H.S., 2014, AGR INNOVATIONS SUST, V4, P379
   Tesfay Y., 2008, PRODUCTION NUTR VALU
   Tesfay Y., 2016, Feed resources availability, utilization and marketing in Central and Eastern Tigray
   Tesfaye A., 2007, ETHIOPIA LIVESTOCK R, V19, P6
   Tjelele J, 2014, RANGELAND ECOL MANAG, V67, P423, DOI 10.2111/REM-D-13-00115.1
   Tjelele T.J., 2007, THESIS U PRETORIA
   Tolera A., 2007, Feed resources for producing export quality meat and livestock in Ethiopia, examples from selected Woredas in Oromia and SNNP regional states
   Trytsman M, 2020, GENET RESOUR CROP EV, V67, P875, DOI 10.1007/s10722-020-00886-8
   Tufail M.S., 2020, P 22 INT GRASSL C SY
   Twinamatsiko R., 2020, Uganda. African Journal of Agricultural Research, V16, P1514, DOI [10.5897/ajar2020.14959, DOI 10.5897/AJAR2020.14959]
   Van der Stoep I., 2014, SANCID 2014 S GLENB
   Wanapat M, 2009, LIVEST SCI, V125, P238, DOI 10.1016/j.livsci.2009.05.001
   Wilkinson J.M., 2003, SILAGE SCI TECHNOLOG, V42, P1, DOI [10.2134/agronmonogr42.c1, DOI 10.2134/AGRONMONOGR42.C1]
   Yang CMJ, 2005, J DAIRY SCI, V88, P2903, DOI 10.3168/jds.S0022-0302(05)72971-4
   Yayneshet T, 2009, J ARID ENVIRON, V73, P542, DOI 10.1016/j.jaridenv.2008.12.002
   Yayneshet T, 2009, ANIM FEED SCI TECH, V148, P14, DOI 10.1016/j.anifeedsci.2008.02.003
   Yonatan K., 2011, LIVESTOCK RES RURAL, V23
   Zantsi S., 2019, S Afr. Jnl. Agric. Ext., V47, P81
   ,, 2012, FAO Animal Production and Health Paper
NR 167
TC 21
Z9 21
U1 4
U2 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-1962
EI 1435-0645
J9 AGRON J
JI Agron. J.
PD JAN
PY 2022
VL 114
IS 1
BP 75
EP 99
DI 10.1002/agj2.20954
EA DEC 2021
PG 25
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA ZG5PE
UT WOS:000728185100001
OA hybrid
DA 2025-01-10
ER

PT J
AU Kariuki, J
   Galie, A
   Birner, R
   Oyieng, E
   Chagunda, MGG
   Jakinda, S
   Milia, D
   Ojango, JMK
AF Kariuki, Juliet
   Galie, Alessandra
   Birner, Regina
   Oyieng, Edwin
   Chagunda, Mizeck G. G.
   Jakinda, Samwel
   Milia, Duncan
   Ojango, Julie M. K.
TI Does the gender of farmers matter for improving small ruminant
   productivity? A Kenyan case study
SO SMALL RUMINANT RESEARCH
LA English
DT Article
DE Sheep; Goats; Productivity; Breeding; Gender; Arid and semi-arid lands
ID CLIMATE-CHANGE ADAPTATION; BREEDING PROGRAMS; PRODUCTION OBJECTIVES;
   SMALLHOLDER FARMERS; PRODUCTION SYSTEMS; DAIRY PRODUCTION; LIVESTOCK;
   GOATS; WOMEN; SHEEP
AB A major constraint faced in implementing sheep and goat improvement programs in low input systems is the limited involvement of the pastoral livestock keepers. Gender dynamics represent strong determinants of pastoral livestock management practices but are however very rarely integrated in livestock improvement programs. This research adopts a gendered lens to explore sheep and goat breeding management, ownership and trait preferences. Using a qualitative approach ten gender disaggregated focus group discussions with 121 participants were conducted with beneficiaries from a USAID supported Accelerated Livestock Value Chain Development Project for livestock improvement in Kenya's low input systems. The results show that availability of sheep and goat breeding stock are directly influenced by gendered allocations of management activities. Despite women's contribution to sheep and goat management, men were perceived to exercise a greater variety of ownership rights compared to women, especially regarding decision-making over sheep and goat breeding. While sheep and goat trait preferences were similar for men and women the order of trait prioritisation was gendered according to divisions of labour and decision-making opportunities and constraints. The results demonstrate that gender dynamics in specific areas of sheep and goat husbandry in low input systems can influence breeding outcomes in different ways. Contributing to filling an important knowledge gap and supplementing existing literature, the study recommends the adoption of a gendered approach when introducing or strengthening productivity improvement practices. Strategies to ensure that sheep and goat improvement practices are not only relevant but compatible with the preferences of men and women are therefore considered more likely to improve technology adoption rates.
C1 [Kariuki, Juliet; Birner, Regina; Chagunda, Mizeck G. G.] Univ Hohenheim, Stuttgart, Germany.
   [Galie, Alessandra; Oyieng, Edwin; Ojango, Julie M. K.] Int Livestock Res Inst, Nairobi, Kenya.
   [Jakinda, Samwel; Milia, Duncan] Neighbourhood Initiat Alliance, Kajado, Kenya.
C3 University Hohenheim; CGIAR; International Livestock Research Institute
   (ILRI)
RP Kariuki, J (corresponding author), Univ Hohenheim, Stuttgart, Germany.
EM j.kariuki@uni-hohenheim.de
RI Chagunda, Mizeck/AAD-6824-2020; Oyieng, Edwin/AAA-1992-2022
OI Oyieng, Edwin/0000-0002-5004-2060; Galie,
   Alessandra/0000-0001-9868-7733; Chagunda, Mizeck Gift
   Gibson/0000-0002-7245-236X
FU USAID Feed the Future AVCD-Livestock project
FX The authors are thankful to the community respondents from the Community
   Innovation Groups in Wajir, Turkana, Garissa, Marsabit and Isiolo who
   contributed their valuable time and insights to the data collection. We
   thank the USAID Feed the Future AVCD-Livestock project for financing the
   activities. We are equally grateful to the reviewers for their insights
   and constructive comments.
CR Abebe AS, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233040
   Adeyemi H.M., 2010, African Research Review, V4, P144, DOI [DOI 10.4314/AFRREV.V4I4.69216, 10.4314/afrrev.v4i4.69216]
   AJALA AA, 1995, SMALL RUMINANT RES, V15, P203, DOI 10.1016/0921-4488(94)00031-2
   Ambler K, 2021, ECON DEV CULT CHANGE, V69, P765, DOI 10.1086/703082
   Amuguni Helen, 2000, ASSESSING GENDER IMP
   [Anonymous], 1988, DAIRYING SETTLED FUL
   [Anonymous], 2016, TRANSFORMING GENDER
   [Anonymous], SMALL RUMIN RES, V98, P12
   Arasio R.L, 2004, REBUILDING HERDS REI
   Audho J., 2016, REPORT COMMUNITY PLA
   Ayele Z, 2003, J NUTR, V133, p3981S, DOI 10.1093/jn/133.11.3981S
   Babigumira B. M., 2019, Proceedings of the 23rd Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG), Armidale, New South Wales, Australia, 27th October-1st November 2019, P175
   Behnke Roy., 2011, The Contribution of Livestock to the Kenyan Economy
   Bekure S., 1991, ILCA SYSTEMS STUDY
   Bett RC, 2009, SMALL RUMINANT RES, V85, P157, DOI 10.1016/j.smallrumres.2009.08.001
   Bett RC, 2009, TROP ANIM HEALTH PRO, V41, P307, DOI 10.1007/s11250-008-9191-9
   Bryan E, 2018, CLIM DEV, V10, P417, DOI 10.1080/17565529.2017.1301870
   Buchy M, 2005, GEND TECHNOL DEV, V9, P235, DOI 10.1177/097185240500900204
   CARNEY J, 1990, AFRICA, V60, P207, DOI 10.2307/1160333
   Chanamuto N. J. C., 2015, Gender and Development, V23, P515, DOI 10.1080/13552074.2015.1096041
   Charray J., 1992, MANUAL SHEEP GOAT PR
   Cohen MJ, 2011, INT FOOD POLICY RES, V1094, P1
   Daum T, 2021, AGR HUM VALUES, V38, P411, DOI 10.1007/s10460-020-10160-3
   De Vries J, 2008, SMALL RUMINANT RES, V77, P221, DOI 10.1016/j.smallrumres.2008.03.006
   Deere CD, 2006, FEM ECON, V12, P1, DOI 10.1080/13545700500508056
   Devendra C, 2007, INT WORKSH SMALL RUM, P19
   Distefano F., 2013, UNDERSTANDING INTEGR
   Dolan CS, 2001, J DEV STUD, V37, P39, DOI 10.1080/00220380412331321961
   Dometita M.L.M, 2017, DRYLAND KENYA DROUGH
   Doss Cheryl., 2014, Gender in Agriculture, P55, DOI [10.1007/978-94-017-8616-4_3, DOI 10.1007/978-94-017-8616-4_3, 10.1007/978-94-017-8616-4]
   Duflo E., 2004, INTRAHOUSEHOLD RESOU, DOI [10.3386/w10498, DOI 10.3386/W10498]
   Duflo E, 2012, J ECON LIT, V50, P1051, DOI 10.1257/jel.50.4.1051
   Dugarova E., 2018, Gender Equality As An Accelerator for Achieving the Sustainable Development Goals
   Duguma G, 2011, ANIMAL, V5, P1984, DOI 10.1017/S1751731111001029
   Duguma G, 2010, THESIS, P101
   Dumas SE, 2018, FOOD NUTR BULL, V39, P3, DOI 10.1177/0379572117737428
   Ejlertsen M, 2012, TROP ANIM HEALTH PRO, V45, P219, DOI 10.1007/s11250-012-0194-1
   FAO, 2020, FAO POL GEND EQ 2020
   Flintan F., 2008, Women's empowerment in pastoral societies
   Flintan F, 2020, DO GENDER PASTORALIS
   Food and Agriculture Organisation, 2011, STAT FOOD AGR 2010 2
   Food and Agriculture Organisation, 2005, SEAGA LIV GUID PLANN
   Food and Agriculture Organisation IFAD and WFP, 2020, GEND TRANSF APPR FOO
   Food and Agriculture Organization of the United Nations, 2018, FAOSTAT DAT
   Forsythe L., 2015, ACHIEVING DRYLAND WO, P66
   GalieA, 2015, Agriculture and food security, V4, P2, DOI [10.1186/s40066-015-0021-9, DOI 10.1186/S40066-015-0021-9]
   Gebreyesus G., 2013, Livestock Research for Rural Development, V25
   Glaser B.G., 2009, DISCOV GROUNDED THEO
   Guyo FB, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0076-2
   Haile A, 2019, J ANIM BREED GENET, V136, P319, DOI 10.1111/jbg.12401
   Herrero M, 2013, ANIMAL, V7, P3, DOI 10.1017/S1751731112001954
   Hodgson D., 1999, Nomadic Peoples, V3, P115
   Hodgson D.L., 2000, Rethinking Pastoralism in Africa: Gender, Culture the Myth of the Patriarchal Pastoralist
   Hodgson DL, 1999, J AFR HIST, V40, P41, DOI 10.1017/S0021853798007397
   IFAD, 2009, GEND LIV TOOLS DES
   Iñiguez L, 2011, SMALL RUMINANT RES, V98, P12, DOI 10.1016/j.smallrumres.2011.03.010
   Jaitner J, 2001, SMALL RUMINANT RES, V40, P101, DOI 10.1016/S0921-4488(00)00221-2
   Johnston D., 2015, Agriculture, gendered time use, and nutritional outcomes: A systematic review
   Kaumbata Wilson, 2020, Journal of Agriculture and Rural Development in the Tropics and Subtropics, V121, P99, DOI 10.17170/kobra-202005281298
   Kettel Bonnie., 1992, National Womens Studies Association Journal, V4, P23
   Kipuri Naomi., 2008, A Double Bind: The Exclusion of Pastoralist Women in the East and Horn of Africa
   Kohler-Rollefson I., 2012, Invisible guardians: Women manage livestock diversity
   König EZ, 2016, TROP ANIM HEALTH PRO, V48, P9, DOI 10.1007/s11250-015-0911-7
   Kosgey IS, 2006, SMALL RUMINANT RES, V61, P13, DOI 10.1016/j.smallrumres.2005.01.003
   Kratli S., 2013, Animal Frontiers, V3, P42, DOI 10.2527/af.2013-0007
   Kristjanson P., 2014, Gender in Agriculture
   Kristjanson P., 2010, 20 ILRI, DOI 10.1023/A:1006447915074.
   Lebbie SHB, 2004, SMALL RUMINANT RES, V51, P131, DOI 10.1016/j.smallrumres.2003.08.015
   Leroy JL, 2007, J NUTR, V137, P2311, DOI 10.1093/jn/137.10.2311
   Leyland T, 2014, Community-Based Animal Health Workers in the Horn of Africa An Evaluation for the Office of Foreign Disaster Assistance
   Loftsdottir K., 2001, ARIZONA ANTHR, V14, P81
   Maarse L., 1998, Making change strategies work
   Maertens M, 2013, FOOD POLICY, V43, P118, DOI 10.1016/j.foodpol.2013.07.006
   Marshall K, 2016, J ANIM BREED GENET, V133, P534, DOI 10.1111/jbg.12223
   Marshall K., 2019, P ASS ADVMT ANIM BRE, V23, P171
   Marshall K., DIFFERENT KETTLE FIS, P77
   McCabe T., 2004, CATTLE BRING US OUR
   McPeak J, 2006, J DEV ECON, V81, P415, DOI 10.1016/j.jdeveco.2005.06.010
   McPeak JG, 2006, AM J AGR ECON, V88, P525, DOI 10.1111/j.1467-8276.2006.00877.x
   Miller B. A., 2011, The gender and social dimensions to livestock keeping in South Asia: implications for animal health interventions
   Mogues T., 2009, Agricultural Extension in Ethiopia through a Gender and Governance Lens
   Moll HAJ, 2007, AGR SYST, V94, P593, DOI 10.1016/j.agsy.2007.02.005
   Mueller JP, 2015, J ANIM BREED GENET, V132, P155, DOI 10.1111/jbg.12136
   Muigai A.W.T., 2018, SUSTAINABLE GOAT PRO
   Mullins G, 1996, HUM ECOL, V24, P231, DOI 10.1007/BF02169128
   Mwacharo JM, 2005, TROP ANIM HEALTH PRO, V37, P635, DOI 10.1007/s11250-005-4253-8
   Niamir-Fuller M, 2020, SPRINGER CLIMATE, P41, DOI 10.1007/978-3-030-22464-6_3
   Niamir-Fuller M, 1994, WOMEN LIVESTOCK MANA
   Njuki J., 2013, WOMEN LIVESTOCK OWNE, P21
   Njuki J., 2013, 44 ILRI
   Njuki J., 2013, WOMEN LIVESTOCK OWNE, P131
   Nyima Y, 2014, AREA, V46, P186, DOI 10.1111/area.12099
   O'Brien C, 2016, WORLD MED HEALTH POL, V8, P263, DOI 10.1002/wmh3.198
   Oboler ReginaSmith., 1985, WOMEN POWER EC CHANG
   Ojango J.M.K., 2018, BEST PRACTICES SELEC
   Ojango J.M.K., 2010, GALLA GOAT KENYA REV
   Ojango J.M.K., 2017, BEST PRACTICES SELEC
   Ojango J.M.K., 2016, ANIM GENET RESOUR, P1
   OKALI C, 1985, AGR SYST, V18, P39, DOI 10.1016/0308-521X(85)90056-3
   Oluka J., 2005, SMALL STOCK WOMEN LI
   Oyieng E., 2016, REP COMM PLATF M MAR
   Oyieng E., 2021, 72 ILRI
   Peacock C, 2005, SMALL RUMINANT RES, V60, P179, DOI 10.1016/j.smallrumres.2005.06.011
   Peacock C, 2010, SMALL RUMINANT RES, V89, P70, DOI 10.1016/j.smallrumres.2009.12.029
   Pike IL, 2019, AM ANTHROPOL, V121, P126, DOI 10.1111/aman.13153
   Quisumbing A., 2019, ReSAKSS Annual Trends and Outlook Report 2019, DOI [10.2499/9780896293649, DOI 10.2499/9780896293649]
   Quisumbing AR, 2015, AGR HUM VALUES, V32, P705, DOI 10.1007/s10460-015-9587-x
   Quisumbing AR, 2010, WORLD DEV, V38, P581, DOI 10.1016/j.worlddev.2009.10.006
   Quisumbing AgnesR., 2014, GENDER AGR, DOI DOI 10.1007/978-94-017-8616-4
   Quisumbing AR, 2003, OXFORD B ECON STAT, V65, P283, DOI 10.1111/1468-0084.t01-1-00052
   Ramasawmy M., 2018, POULTRY TRAIT PREFER, P158
   ResurrecciON B.P., 2020, NEGOTIATING GENDER E, P171
   Roessler R, 2008, ECOL ECON, V66, P184, DOI 10.1016/j.ecolecon.2007.08.023
   Sen A., 1990, Persistent inequalities: women and worlddevelopment
   Sila W, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179629
   Sinn R, 1999, SMALL RUMINANT RES, V34, P259, DOI 10.1016/S0921-4488(99)00078-4
   Slavchevska V., 2016, Feminization of Agriculture in the Context of Rural Transformations: What Is the Evidence?
   Staal S.J., 2019, IMPACTS LIVESTOCK DE
   Surma N, 2020, LOCAL ENVIRON, V25, P83, DOI 10.1080/13549839.2019.1703663
   Talle A, 1988, STUDIES SOCIAL ANTHR
   Tesch R., 1990, QUAL RES
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   Tsige M, 2020, GEND ISSUES, V37, P125, DOI 10.1007/s12147-019-09238-y
   Tufan H.A., 2018, Working Paper 3
   Upton M., 2004, PPLPI Working Paper - Pro-Poor Livestock Policy Initiative, FAO
   Waithanji E., 2015, ROLE GENDER OTHER SO, V29, P1
   Waithanji E., 2018, EUR J DEV RES, P1
   Waithanji E, 2015, DEV PRACT, V25, P188, DOI 10.1080/09614524.2015.1002453
   Walugembe M., 2016, Iowa State University Animal Industry Report, V13
   Wangui EE, 2008, AGR HUM VALUES, V25, P365, DOI 10.1007/s10460-007-9111-z
   Wangui EE, 2014, ANN ASSOC AM GEOGR, V104, P1068, DOI 10.1080/00045608.2014.924734
   Wawire Violet., 2003, Gender and the Social and Economic Impact of Drought on the Residents of Turkana District in Kenya
   Weltzien E, 2020, PL BRED RE, V43, P243
   Wurzinger M, 2011, SMALL RUMINANT RES, V98, P170, DOI 10.1016/j.smallrumres.2011.03.035
   Yisehak K., 2008, Livestock Research for Rural Development, V20, P20011
   Yurco K, 2018, GEOFORUM, V97, P343, DOI 10.1016/j.geoforum.2018.08.001
NR 136
TC 7
Z9 7
U1 1
U2 9
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0921-4488
EI 1879-0941
J9 SMALL RUMINANT RES
JI Small Ruminant Res.
PD JAN
PY 2022
VL 206
AR 106574
DI 10.1016/j.smallrumres.2021.106574
EA NOV 2021
PG 13
WC Agriculture, Dairy & Animal Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA XF7GJ
UT WOS:000724236000001
OA Bronze
DA 2025-01-10
ER

PT J
AU Basri, MAA
   Shaharudin, SM
   Kismiantini
   Tan, ML
   Najib, SAM
   Zainuddin, NH
   Andayani, S
AF Basri, Muhamad Afdal Ahmad
   Shaharudin, Shazlyn Milleana
   Kismiantini
   Tan, Mou Leong
   Najib, Sumayyah Aimi Mohd
   Zainuddin, Nurul Hila
   Andayani, Sri
TI Regionalization of Rainfall Regimes Using Hybrid RF-Bs Couple with
   Multivariate Approaches
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
LA English
DT Article
DE rainfall; principal component analysis (PCA); hierarchical clustering
   analysis (HCA); imputation method; random forest-bootstrap algorithm
   (RF-Bs)
ID PRECIPITATION; IDENTIFICATION; INDONESIA; PATTERNS; REGIONS; PCA
AB Monthly precipitation data during the period of 1970 to 2019 obtained from the Meteorological, Climatological and Geophysical Agency database were used to analyze regionalized precipitation regimes in Yogyakarta, Indonesia. There were missing values in 52.6% of the data, which were handled by a hybrid random forest approach and bootstrap method (RF-Bs). The present approach addresses large missing values and also reduces the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) in the search for the optimum minimal value. Cluster analysis was used to classify stations or grid points into different rainfall regimes. Hierarchical clustering analysis (HCA) of rainfall data reveal the pattern of behavior of the rainfall regime in a specific region by identifying homogeneous clusters. According to the HCA, four distinct and homogenous regions were recognized. Then, the principal component analysis (PCA) technique was used to homogenize the rainfall series and optimally reduce the long-term rainfall records into a few variables. Moreover, PCA was applied to monthly rainfall data in order to validate the results of the HCA analysis. On the basis of the 75% of cumulative variation, 14 factors for the Dry season and the Rainy season, and 12 factors for the Inter-monsoon season, were extracted among the components using varimax rotation. Consideration of different groupings into these approaches opens up new advanced early warning systems in developing recommendations on how to differentiate climate change adaptation- and mitigation-related policies in order to minimize the largest economic damage and taking necessary precautions when multiple hazard events occur.
C1 [Basri, Muhamad Afdal Ahmad; Shaharudin, Shazlyn Milleana; Zainuddin, Nurul Hila] Univ Pendidikan Sultan Idris, Fac Sci & Math, Dept Math, Tanjong Malim 35900, Perak, Malaysia.
   [Kismiantini] Univ Negeri Yogyakarta, Fac Math & Nat Sci, Dept Stat, Yogyakarta 55281, Indonesia.
   [Tan, Mou Leong] Univ Sains Malaysia, Sch Humanities, GeoInformat Unit, Geog Sect, Gelugor 11800, Pulau Pinang, Malaysia.
   [Najib, Sumayyah Aimi Mohd] Univ Pendidikan Sultan Idris, Fac Human Sci, Dept Geog & Environm, Tanjong Malim 35900, Perak, Malaysia.
   [Andayani, Sri] Univ Negeri Yogyakarta, Fac Math & Nat Sci, Dept Math, Yogyakarta 55281, Indonesia.
C3 Universiti Pendidikan Sultan Idris; Universitas Negeri Yogyakarta;
   Universiti Sains Malaysia; Universiti Pendidikan Sultan Idris;
   Universitas Negeri Yogyakarta
RP Shaharudin, SM (corresponding author), Univ Pendidikan Sultan Idris, Fac Sci & Math, Dept Math, Tanjong Malim 35900, Perak, Malaysia.
EM M20201000214@siswa.upsi.edu.my; shazlyn@fsmt.upsi.edu.my;
   kismi@uny.ac.id; mouleong@usm.my; sumayyah@fsk.upsi.edu.my;
   nurulhila@fsmt.upsi.edu.my; andayani@uny.ac.id
RI Kismiantini, Kismiantini/ACB-7845-2022; Andayani, Sri/GPK-4005-2022;
   Tan, Mou Leong/N-4678-2017
OI Shaharudin, Shazlyn Milleana/0000-0001-8243-5646; Najib, Sumayyah Aimi
   Mohd/0000-0003-3684-9754; Andayani, Sri/0000-0002-2121-9242; Tan, Mou
   Leong/0000-0003-3939-0336
FU FUNDAMENTAL RESEARCH GRANT SCHEME [2019-0132-103- 02
   (FRGS/1/2019/STG06/UPSI/02/4)]; Geran Penyelidikan Universiti
   Fundamental (GPUF) 2020 [2020-0172-103-01]; Universiti Pendidikan Sultan
   Idris
FX "This research was funded by FUNDAMENTAL RESEARCH GRANT SCHEME, grant
   number 2019-0132-103- 02 (FRGS/1/2019/STG06/UPSI/02/4)" and "The APC was
   funded by Geran Penyelidikan Universiti Fundamental (GPUF) 2020, grant
   number 2020-0172-103-01 and Universiti Pendidikan Sultan Idris".
CR Adi-Kusumo F, 2016, AIP CONF PROC, V1707, DOI 10.1063/1.4940833
   Aguilera H, 2020, J HYDROINFORM, V22, P578, DOI 10.2166/hydro.2020.127
   Aldrian E, 2003, INT J CLIMATOL, V23, P1435, DOI 10.1002/joc.950
   ALTMAN NS, 1992, AM STAT, V46, P175, DOI 10.2307/2685209
   Amiri MA, 2018, KUWAIT J SCI, V45, P66
   [Anonymous], 2002, Springer Series in Statistics
   Chai T, 2014, GEOSCI MODEL DEV, V7, P1247, DOI 10.5194/gmd-7-1247-2014
   Che Mat Nor S.M., 2021, ENV ECOL RES, V9, P114, DOI [10.13189/eer.2021.090303, DOI 10.13189/EER.2021.090303]
   Dai Q, 2017, J HYDROMETEOROL, V18, P363, DOI [10.1175/JHM-D-16-0136.1, 10.1175/jhm-d-16-0136.1]
   Darand M, 2014, ENVIRON PROCESS, V1, P517, DOI 10.1007/s40710-014-0039-1
   Dodeen H. M., 2003, ASSESS EVAL HIGH EDU, V28, P505, DOI DOI 10.1080/02602930301674
   EFRON B, 1979, ANN STAT, V7, P1, DOI 10.1214/aos/1176344552
   Efron B., 1998, INTRO BOOTSTRAP
   Everitt B., 1984, INTRO APPL MULTIVARI
   Goyal MK, 2014, WATER RESOUR MANAG, V28, P4491, DOI 10.1007/s11269-014-0699-7
   Gupta A, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6814-3
   Haines HA, 2017, HYDROL PROCESS, V31, P2951, DOI 10.1002/hyp.11238
   Halkidi M, 2001, J INTELL INF SYST, V17, P107, DOI 10.1023/A:1012801612483
   Harel O, 2007, STAT MED, V26, P3057, DOI 10.1002/sim.2787
   Heras Diego, 2021, Rev. Ambient. Água, V16, pe2708, DOI 10.4136/ambi-agua.2708
   Hoyos LE, 2018, ISPRS INT J GEO-INF, V7, DOI 10.3390/ijgi7050170
   Ibarra-Berastegi G, 2011, HYDROL EARTH SYST SC, V15, P1895, DOI 10.5194/hess-15-1895-2011
   Ismail W.N.W., 2017, MALAYS J FUNDAM APPL, V13, P213, DOI [10.11113/mjfas.v13n3.578, DOI 10.11113/MJFAS.V13N3.578]
   Kamaruzaman IF, 2017, MALAYS J FUNDAM APPL, V13, P375, DOI 10.11113/mjfas.v13n4-1.781
   KIVIET JF, 1995, J ECONOMETRICS, V68, P53, DOI 10.1016/0304-4076(94)01643-E
   Latupapua H., 2018, Indonesian Journal of Electrical Engineering and Computer Science, V11, P437, DOI [10.11591/ijeecs.v11.i2.pp437-445, DOI 10.11591/IJEECS.V11.I2.PP437-445]
   Lee HS, 2015, WATER-SUI, V7, P1751, DOI 10.3390/w7041751
   Lin GF, 2017, WATER RESOUR MANAG, V31, P377, DOI 10.1007/s11269-016-1532-2
   LOGUE JJ, 1984, J CLIMATOL, V4, P597, DOI 10.1002/joc.3370040604
   Machiwal D, 2019, METEOROL APPL, V26, P300, DOI 10.1002/met.1763
   Machiwal D, 2017, HYDROLOG SCI J, V62, P1050, DOI 10.1080/02626667.2017.1303705
   Medina-Cobo MT, 2017, WATER RESOUR MANAG, V31, P2333, DOI 10.1007/s11269-017-1653-2
   Messakh J. J., 2015, International Journal of Scientific and Engineering Research (IJSER), V8, P331
   Mfwango L.H., 2018, HYDROLOGY CURRENT RE, V9, P299, DOI [10.4172/2157-7587.1000299, DOI 10.4172/2157-7587.1000299]
   Modarres R, 2011, GLOBAL PLANET CHANGE, V75, P67, DOI 10.1016/j.gloplacha.2010.10.009
   Nagel JB, 2020, RELIAB ENG SYST SAFE, V195, DOI 10.1016/j.ress.2019.106737
   Rodríguez R, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13116318
   Saputra A, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8040132
   Shaharudin S.M., 2020, IAES INT J ARTIF INT, V9, P655
   Shaharudin SM, 2021, POL J ENVIRON STUD, V30, P3221, DOI 10.15244/pjoes/130677
   Shaharudin SM, 2017, COMM COM INF SC, V752, P216, DOI 10.1007/978-981-10-6502-6_19
   Shaharudin Shazlyn Milleana, 2020, International Journal of Advanced Trends in Computer Science and Engineering, V9, P646, DOI [10.30534/ijatcse/2020/, DOI 10.30534/IJATCSE/2020]
   StatSoft Inc 7.0, 2004, Statistica (data analysis software system)
   WARD JH, 1963, J AM STAT ASSOC, V58, P236, DOI 10.2307/2282967
   Widagdo A., 2018, Journal of Geoscience, Engineering, Environment, and Technology, V3, P155, DOI [10.24273/jgeet.2018.3.3.1715, DOI 10.24273/JGEET.2018.3.3.1715]
   Yang JH, 2017, COMPUT INTEL NEUROSC, V2017, DOI 10.1155/2017/8734214
NR 46
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
J9 ISPRS INT J GEO-INF
JI ISPRS Int. J. Geo-Inf.
PD OCT
PY 2021
VL 10
IS 10
AR 689
DI 10.3390/ijgi10100689
PG 20
WC Computer Science, Information Systems; Geography, Physical; Remote
   Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Physical Geography; Remote Sensing
GA 1W6TW
UT WOS:000806906300001
OA gold
DA 2025-01-10
ER

PT J
AU Sörensen, J
   Persson, AS
   Olsson, JA
AF Sorensen, J.
   Persson, A. S.
   Olsson, J. Alkan
TI A data management framework for strategic urban planning using
   blue-green infrastructure
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Blue-green infrastructure; Data management; Spatial planning; Strategic
   planning; Stormwater management; Climate change adaptation; Urban green
   spaces
ID ECOSYSTEM SERVICES; CONCEPTUAL-FRAMEWORK; CITIES; RESILIENCE;
   CHALLENGES; DRAINAGE; ECOLOGY; DESIGN; SYSTEM; SPACE
AB Spatial planning of Blue-Green Infrastructure (BGI) should ideally be based on well-evaluated and context specific solutions. One important obstacle to reach this goal relates to adequate provisioning of data to ensure good governance of BGI, i.e., appropriate planning, design, construction, and maintenance. This study explores the gap between data availability and implementation of BGI in urban planning authorities in Sweden. A multi method approach including brainstorming, semi-structured interviews with urban planners and experts on BGI and Geographical Information System (GIS), and validating workshops were performed to develop a framework for structured and user-friendly data collection and use. Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the organisation of data management and the skills of trans-disciplinary cooperation to better understand and interpret different types of data. Moreover, different strategic goals require different data to ensure efficient planning of BGI. This calls for closer interactions between development of strategic political goals and data collection. The data management framework consists of three parts: A) Ideal structure of data management in relation to planning process, data infrastructure and organisational structure, and B) A generic list of data needed, and C) The development of structures for data gathering and access. We conclude that it is essential to develop pan-municipal data management systems that bridge sectors and disciplines to ensure efficient management of the urban environment, and which is able to support the involvement of citizens to collect and access relevant data. The framework can assist in such development.
C1 [Sorensen, J.] Lund Univ, Water Resources Engn, Lund, Sweden.
   [Persson, A. S.; Olsson, J. Alkan] Lund Univ, Ctr Environm & Climate Sci, Lund, Sweden.
C3 Lund University; Lund University
RP Sörensen, J (corresponding author), Fac Engn LTH, Div Water Resources Engn, POB 118, SE-22100 Lund, Sweden.
EM johanna.sorensen@tvrl.lth.se
RI Sörensen, Johanna/AAG-3189-2019
OI Sorensen, Johanna Lykke/0000-0002-2312-4917; Persson,
   Anna/0000-0002-2711-0344
FU Formas [2014-01313, 942-2015-149]; EIT Climate-KIC [190528]; Formas
   [2014-01313] Funding Source: Formas
FX The authors were funded by Formas [grant 2014-01313 & 942-2015-149] and
   EIT Climate-KIC [project ID 190528] . We especially thank the
   interviewed municipal officials and workshop participants. The authors
   declare no conflict of interest.
CR Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Alin P, 2013, PROJ MANAG J, V44, P48, DOI 10.1002/pmj.21339
   [Anonymous], 2016, EUROPEAN HDB CROWDSO
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on 'Nature-based solutions and re-naturing cities, DOI DOI 10.2777/765301
   Belcáková I, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10090552
   Bell Simon, 2007, Urban Forestry & Urban Greening, V6, P103, DOI 10.1016/j.ufug.2007.03.005
   Benitez-Paez F, 2018, T GIS, V22, P806, DOI 10.1111/tgis.12449
   Borgström ST, 2006, ECOL SOC, V11
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Bryman A., 2015, Business research methods, V4th
   Budhathoki N.R., 2010, PARTICIPANTS MOTIVAT
   Carrera F., 2004, CITY KNOWLEDGE EMERG
   d'Amour CB, 2017, P NATL ACAD SCI USA, V114, P8939, DOI 10.1073/pnas.1606036114
   de Sousa D. C. P., 2018, METHODS TECHNIQUES E, P45, DOI [10.1007/978- 1-4939-8919-5, DOI 10.1007/978-1-4939-8919-5]
   Dossick C. S., 2011, The Engineering Project Organization Journal, V1, P83, DOI 10.1080/21573727.2011.569929
   Eliasson I, 2000, LANDSCAPE URBAN PLAN, V48, P31, DOI 10.1016/S0169-2046(00)00034-7
   Faehnle M, 2015, GEOJOURNAL, V80, P411, DOI 10.1007/s10708-014-9560-z
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195
   Grindrod P, 2016, PHILOS T R SOC A, V374, DOI 10.1098/rsta.2016.0132
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Häggquist E, 2017, J ENVIRON PLANN MAN, V60, P1112, DOI 10.1080/09640568.2016.1198252
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hanson HI, 2020, LAND USE POLICY, V90, DOI 10.1016/j.landusepol.2019.104302
   Hassan AM, 2015, ENVIRON DEV SUSTAIN, V17, P1267, DOI 10.1007/s10668-014-9604-z
   Hoang L, 2016, URBAN WATER J, V13, P739, DOI 10.1080/1573062X.2015.1036083
   Hopkins LD, 2005, ENVIRON PLANN B, V32, P597, DOI 10.1068/b31178
   Hultberg J., 1998, Knowledge, Technology and Policy, V11, P167, DOI DOI 10.1007/S12130-998-1016-7
   Krawatzek F., 2018, YOUTH REGIME CRISIS, P1, DOI [10.1093/oso/9780198826842.003.0002, DOI 10.1093/OSO/9780198826842.003.0002]
   Lennon M, 2015, LOCAL ENVIRON, V20, P957, DOI 10.1080/13549839.2014.880411
   Lerer SM, 2015, WATER-SUI, V7, P993, DOI 10.3390/w7030993
   Mansourian A, 2006, COMPUT GEOSCI-UK, V32, P303, DOI 10.1016/j.cageo.2005.06.017
   Mathison S., 1988, Educational Researcher, V17, P13, DOI DOI 10.3102/0013189X017002013
   Ministry of Environment, 2014, UPPDR ATT TA FRAM RI
   Newman K, 2010, J AM PLANN ASSOC, V76, P160, DOI 10.1080/01944360903586738
   Northcutt N., 2004, INTERACTIVE QUALITAT
   Park Y, 2020, LANDSCAPE URBAN PLAN, V200, DOI 10.1016/j.landurbplan.2020.103806
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Poirier EA, 2017, BUILD RES INF, V45, P681, DOI 10.1080/09613218.2017.1324724
   Reades J, 2007, IEEE PERVAS COMPUT, V6, P30, DOI 10.1109/MPRV.2007.53
   Schweitzer LA, 2017, J AM PLANN ASSOC, V83, P161, DOI 10.1080/01944363.2017.1290495
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Sörensen J, 2017, J HYDROL, V555, P51, DOI 10.1016/j.jhydrol.2017.09.039
   Stahre P., 2008, BLUE GREEN FINGERPRI
   Stott I, 2015, FRONT ECOL ENVIRON, V13, P387, DOI 10.1890/140286
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Viitanen J, 2014, ENVIRON PLANN A, V46, P803, DOI 10.1068/a46242
   Wihlborg M, 2019, J ENVIRON MANAGE, V233, P706, DOI 10.1016/j.jenvman.2018.12.018
   Yeh A.G.-O., 2005, GEOGRAPHICAL INFORM
   Zerger A, 2004, NAT HAZARDS, V33, P191, DOI 10.1023/B:NHAZ.0000037040.72866.92
NR 51
TC 19
Z9 19
U1 10
U2 101
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 DEC 1
PY 2021
VL 299
AR 113658
DI 10.1016/j.jenvman.2021.113658
EA SEP 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA WD2XI
UT WOS:000704809800006
PM 34523536
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Hallin, C
   Hofstede, JLA
   Martinez, G
   Jensen, J
   Baron, N
   Heimann, T
   Kroon, A
   Arns, A
   Almström, B
   Sorensen, P
   Larson, M
AF Hallin, Caroline
   Hofstede, Jacobus L. A.
   Martinez, Grit
   Jensen, Juergen
   Baron, Nina
   Heimann, Thorsten
   Kroon, Aart
   Arns, Arne
   Almstrom, Bjorn
   Sorensen, Per
   Larson, Magnus
TI A Comparative Study of the Effects of the 1872 Storm and Coastal Flood
   Risk Management in Denmark, Germany, and Sweden
SO WATER
LA English
DT Article
DE 1872 storm; collective memory; historical storms; flood risk management
ID SEA-LEVEL RISE; BALTIC SEA; VARIABILITY; IMPACT
AB From November 12th to 13th in 1872, an extreme coastal flood event occurred in the south Baltic Sea. An unusual combination of winds created a storm surge reaching up to 3.5 m above mean sea level, which is more than a meter higher than all other observations over the past 200 years. On the Danish, German, and Swedish coasts, about 300 people lost their lives. The consequences of the storm in Denmark and Germany were more severe than in Sweden, with significantly larger destruction and higher numbers of casualties. In Denmark and Germany, the 1872 storm has been more extensively documented and remembered and still influences local and regional risk awareness. A comparative study indicates that the collective memory of the 1872 storm is related to the background knowledge about floods, the damage extent, and the response to the storm. Flood marks and dikes help to remember the events. In general, coastal flood defence is to the largest degree implemented in the affected areas in Germany, followed by Denmark, and is almost absent in Sweden, corresponding to the extent of the collective memory of the 1872 storm. Within the affected countries, there is local variability of flood risk awareness associated with the collective memory of the storm. Also, the economic dependency on flood-prone areas and conflicting interests with the tourism industry have influence on flood protection decisions. The processes of climate change adaptation and implementation of the EU Floods Directive are slowly removing these differences in flood risk management approaches.
C1 [Hallin, Caroline; Almstrom, Bjorn; Larson, Magnus] Lund Univ, Div Water Resources Engn, John Ericssons Vag 1, S-22363 Lund, Sweden.
   [Hallin, Caroline] Delft Univ Technol, Dept Hydraul Engn, Stevinweg 1, NL-2628 CN Delft, Netherlands.
   [Hofstede, Jacobus L. A.] Schleswig Holstein Minist Energy Transit Agr Envi, Mercatorstr 3-5, D-24105 Kiel, Germany.
   [Martinez, Grit] Ecol Inst, Pfalzburgerstr 43-44, D-10717 Berlin, Germany.
   [Jensen, Juergen] Univ Siegen, Res Inst Water & Environm, Paul Bonatz Str 9-11, D-57076 Siegen, Germany.
   [Baron, Nina] Univ Coll Copenhagen, Emergency & Risk Management Program, Sigurdsgade 26, DK-2200 Copenhagen, Denmark.
   [Heimann, Thorsten] Free Univ Berlin, Environm Policy Res Ctr, Ihnestr 22, D-14195 Berlin, Germany.
   [Kroon, Aart] Univ Copenhagen, Dept Geosci & Nat Resource Management, Oster Voldgade 10, DK-1350 Copenhagen, Denmark.
   [Arns, Arne] Univ Rostock, Fac Agr & Environm Sci, Justus Von Liebig Weg 6, D-18059 Rostock, Germany.
   [Sorensen, Per] Kystdirektoratet, Hojbovej 1, DK-7620 Lemvig, Denmark.
C3 Ericsson; Lund University; Delft University of Technology; Universitat
   Siegen; University College Copenhagen; Free University of Berlin;
   University of Copenhagen; Justus Liebig University Giessen; University
   of Rostock
RP Hallin, C (corresponding author), Lund Univ, Div Water Resources Engn, John Ericssons Vag 1, S-22363 Lund, Sweden.; Hallin, C (corresponding author), Delft Univ Technol, Dept Hydraul Engn, Stevinweg 1, NL-2628 CN Delft, Netherlands.
EM caroline.hallin@tvrl.lth.se; Jacobus.Hofstede@melund.landsh.de;
   grit.martinez@ecologic.eu; juergen.jensen@uni-siegen.de; NIBA@kp.dk;
   theimann@fu-berlin.de; ak@ign.ku.dk; arne.arns@uni-rostock.de;
   bjorn.almstrom@tvrl.lth.se; pso@kyst.dk; magnus.larson@tvrl.lth.se
RI ; Kroon, Aart/P-9148-2014
OI Baron, Nina/0000-0002-1375-9740; Jensen, Juergen/0000-0002-8789-9471;
   Almstrom, Bjorn/0000-0002-9904-9984; Fredriksson,
   Caroline/0000-0001-9921-5754; Arns, Arne/0000-0002-3709-2514; Kroon,
   Aart/0000-0002-9419-2327
FU FORMAS [2018-00288]; Formas [2018-00288] Funding Source: Formas
FX Caroline Hallin and Magnus Larson acknowledge financial support from
   FORMAS (project ID 2018-00288).
CR [Anonymous], 2010, GOVERNANCE RAUM
   [Anonymous], 1992, DANISH STORM SURGES
   [Anonymous], 2018, KYSTDIREKTORATET HOJ
   [Anonymous], 2001, INTRO STAT MODELING
   [Anonymous], 1883, Z ARCHAOLOGIE ING HA, P29
   [Anonymous], 2016, VATTEN J WATER MANAG
   Asplund A., 1988, ABBEKAS FORNA
   Baart F, 2011, NAT HAZARD EARTH SYS, V11, P2791, DOI 10.5194/nhess-11-2791-2011
   Baensch J, 1875, Z BAUWES, V25, P155
   Baron N, 2020, NAT HAZARDS, V103, P967, DOI 10.1007/s11069-020-04021-9
   Baron N, 2015, REG ENVIRON CHANGE, V15, P1145, DOI 10.1007/s10113-014-0701-1
   Bork, 2008, KUSTE, V75, P51
   Bruss G, 2009, COASTAL ENGINEERING 2008, VOLS 1-5, P3593
   Chaumillon E, 2017, EARTH-SCI REV, V165, P151, DOI 10.1016/j.earscirev.2016.12.005
   Christmann G., 2013, KLIMAWANDEL DTSCH KU
   Ciavola P, 2018, COAST ENG, V134, P24, DOI 10.1016/j.coastaleng.2017.08.016
   Clemmensen LB, 2014, EARTH SURF PROC LAND, V39, P499, DOI 10.1002/esp.3466
   Colding A, 1881, NAT MAT AFD, P245
   Cornes RC, 2014, WEATHER, V69, P121, DOI 10.1002/wea.2289
   Dahlberg R, 2017, ROUTL RES GEND HIST, V27, P177
   de Smalen E., 2018, SITES REMEMBERING LA
   Dimbath O., 2020, VERGESSENSKATASTROPH, P21
   Dufberg L., 1994, SKANOR FALSTERBO SIL
   Feldmann Eellend B, 2018, RCC PERSPECT TRANSFO, V3, P11
   Fredriksson C., 2016, VATTEN J WATER MANAG, V72, P129
   Garde-Hansen J, 2017, MEM STUD, V10, P384, DOI 10.1177/1750698016667453
   Haimes YY, 2009, RISK ANAL, V29, P1647, DOI 10.1111/j.1539-6924.2009.01310.x
   Hansen, 1879, GEOGR TIDSSKR-DEN, V3, P7
   Hansen K., 2008, TABTE LAND, P60
   Hanson H, 2016, VATTEN J WATER MANAG, V72, P117
   Haupt R., 2017, SCHRIFTENREIHE THURI
   Heimann, 2019, VULNERABILITY RESILI
   Heimann T, 2016, CLIMATE, V4, DOI 10.3390/cli4040059
   Herde H., 2006, TIMMENDORFER STRAND
   Hünicke B, 2015, REG CLIM STUD, P155, DOI 10.1007/978-3-319-16006-1_9
   IAWG, 2019, REG STAT STURMFL W I
   Irminger-Street S., 2018, BILAGA B TEKNISK BES
   J/nsson L.-E., 2015, UTKANTER MARGINALER
   Jensen J., 1990, Deutsche Gewasserkundliche Mitteilungen, V1, P29
   Jensen J., 2008, KUSTE, V74, P92
   Jensen J, 1986, DTSCH GEWASSERKUNDLI, V30, P99
   Johansson L., 2018, EXTREMVATTERNSTAND F
   Johansson L., 2018, EXTREMVATTENSTAND YS
   Johansson L., 2018, EXTREMVATTENSTAND AH
   Jones L.B., 2018, BIG ONES NATURAL HAZ
   JONSSON P, 1995, THEOR APPL CLIMATOL, V51, P183, DOI 10.1007/BF00867279
   Kannenberg E.G, 1958, KUSTE, V7, P47
   Kaplan S., RISK ANAL, V1, P11
   Kelln J., 2019, UNTERSUCHUNGEN ANDER
   Kieksee H., 1972, SCHRIFTEN DTSCH SCHI
   Koerth J, 2013, REG ENVIRON CHANGE, V13, P897, DOI 10.1007/s10113-012-0399-x
   Kosegarten L.G., 1824, INSELFAHRT
   Kystdirektoratet, 2018, REV AJ RIS FOR HAV V
   Lechowska E, 2018, NAT HAZARDS, V94, P1341, DOI 10.1007/s11069-018-3480-z
   MacPherson LR, 2019, J GEOPHYS RES-OCEANS, V124, P2054, DOI 10.1029/2018JC014718
   Madsen KS, 2019, FRONT EARTH SC-SWITZ, V7, DOI 10.3389/feart.2019.00243
   Martinez, 2011, PUBL INT BALTEX SECR, V50
   Martinez G, 2017, VATTEN J WATER MANAG, V73, P93
   Martinez G., 2020, CULTURE CLIMATE RESI, P5
   Martinez G, 2020, ADV CLIM CHANG RES, V11, P297, DOI 10.1016/j.accre.2020.11.001
   McEwen L, 2017, T I BRIT GEOGR, V42, P14, DOI 10.1111/tran.12149
   Mecklenburg-Vorpommern MBLU, 1995, GEN KUST HOCHW MECKL
   Mecklenburg-Vorpommern StALU, 2015, KUST MECKL VORP
   Meier, 2014, SOCIAL DIMENSION CLI, VVolume 5, P203
   Miethe K., 1953, FLUT
   Moskalewicz D, 2020, MAR GEOL, V420, DOI 10.1016/j.margeo.2019.106084
   Myndigheten f/r Samhollsskydd och Beredskap, 2011, ID OMR MED BET OV ST
   Myndigheten f/r samhollsskydd och Beredskap, 2018, OV OMR MED BET OV EN
   Nerheim S., 2018, EXTREMVATTENSTAND TR
   NIEMEYER HD, 1996, HIST HERITAGE COASTA
   Nordin S., 2002, RISK HIST 2 4 UPPSAT
   Petersen T, 1924, GEOGR TIDSSKR-DEN, V27, P16
   Pfister, 2009, NATURAL DISASTERS CU
   Reher F., 1931, 50 JAHRE OSTSEEBAD D
   Reisnert A., 2008, 2008022 MALM KULT EN
   Rosendahl, VANDENE STEG STORMFL
   Santamaria-Aguilar S, 2017, J GEOPHYS RES-OCEANS, V122, P2742, DOI 10.1002/2016JC012579
   Schleswig-Holstein MELFF, 1977, GEN DEICHV DIECHV KU
   Schleswig-Holstein MELUR, 2012, GEN KUST LAND SCHLES
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Thavenius J., 2008, BRANTEVIK KUSTSAMHAL
   Vestol O, 2019, J GEODESY, V93, P1759, DOI 10.1007/s00190-019-01280-8
   Wege K., 2002, REIHE GESCH METEOROL, V5, P366
   WITTE K, 1992, COMMUN MONOGR, V59, P329, DOI 10.1080/03637759209376276
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
NR 85
TC 10
Z9 10
U1 3
U2 25
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUN
PY 2021
VL 13
IS 12
AR 1697
DI 10.3390/w13121697
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA SZ1SK
UT WOS:000666353800001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Desai, S
   Singh, DK
   Islam, A
   Sarangi, A
AF Desai, Sujeet
   Singh, D. K.
   Islam, Adlul
   Sarangi, A.
TI Impact of climate change on the hydrology of a semi-arid river basin of
   India under hypothetical and projected climate change scenarios
SO JOURNAL OF WATER AND CLIMATE CHANGE
LA English
DT Article
DE adaptation measures; climate change; evapotranspiration; MIROC5; surface
   runoff; SWAT
ID CMIP5 RCP SCENARIOS; WATER-RESOURCES; STREAMFLOW; EVAPOTRANSPIRATION;
   MODEL; SENSITIVITY; CROP; VARIABILITY; CO2
AB Climate change impact on the hydrology of the Betwa river basin, located in the semi-arid region of Central India, was assessed using the Soil and Water Assessment Tool (SWAT), driven by hypothetical scenarios and Model of Interdisciplinary Research on Climate version 5 (MIROC5) Global Circulation Model projections. SWAT-Calibration and Uncertainty Programs (SWAT-CUP) was used for calibration and validation of SWAT using multi-site streamflow data. The coefficient of determination, Nash-Sutcliffe efficiency, RMSE-observations standard deviation ratio and percent bias during calibration and validation period varied from 0.83-0.92, 0.6-0.91, 0.3-0.63 and -19.8-19.3, respectively. MIROC5 projections revealed an increase in annual mean temperature in the range of 0.7-0.9 degrees C, 1.2-2.0 degrees C and 1.1-3.1 degrees C during the 2020s, 2050s, and 2080s, respectively. Rainfall is likely to increase in the range of 0.4-9.1% and 5.7-15.3% during the 2050s and 2080s, respectively. Simulation results indicated 3.8-29% and 12-48% increase in mean annual surface runoff during the 2050s and 2080s, respectively. Similarly, an increase of 0.2-3.0%, 2.6-4.2% and 3.5-6.2% in mean annual evapotranspiration is likely during the 2020s, 2050s and 2080s, respectively. These results could be used for developing suitable climate change adaptation plans for the river basin.
C1 [Desai, Sujeet] ICAR Cent Coastal Agr Res Inst, Ella 403402, Goa, India.
   [Singh, D. K.] ICAR Indian Agr Res Inst, Div Agr Engn, New Delhi 110012, India.
   [Islam, Adlul; Sarangi, A.] ICAR Indian Agr Res Inst, Water Technol Ctr, New Delhi 110012, India.
   [Islam, Adlul] ICAR Res Complex, Nat Resource Management Div, Krishi Anusandhan Bhavan 2, New Delhi 110012, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Central Coastal
   Agricultural Research Institute; Indian Council of Agricultural Research
   (ICAR); ICAR - Indian Agricultural Research Institute; Indian Council of
   Agricultural Research (ICAR); ICAR - Indian Agricultural Research
   Institute
RP Desai, S (corresponding author), ICAR Cent Coastal Agr Res Inst, Ella 403402, Goa, India.
EM desai408@gmail.com
RI Islam, Adlul/AAD-8508-2021; SARANGI, ARJAMADUTTA/AAA-3825-2022
OI Desai, Sujeet/0000-0003-3553-9244; Islam, Adlul/0000-0001-5828-1114
FU Department of Science and Technology, Government of India
FX The authors would like to thank the India Meteorological Department
   (IMD) for providing the necessary weather data and Yamuna Basin
   Organization (YBO) of the Central Water Commission (CWC) for providing
   the streamflow data for conducting this research. The first author is
   grateful to the Department of Science and Technology, Government of
   India for providing financial support in the form of DST-INSPIRE
   fellowship. The authors are grateful to the ICAR-Indian Agricultural
   Research Institute for providing facilities to conduct this research.
CR Abbaspour K.C., 2014, SWAT-CUP 2012: SWAT calibration and uncertainty programs - a user manual
   [Anonymous], 2011, MODELLING IMPACT CLI
   Arnell NW, 2014, CLIMATIC CHANGE, V122, P127, DOI 10.1007/s10584-013-0948-4
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Basheer AK, 2016, HYDROL EARTH SYST SC, V20, P1331, DOI 10.5194/hess-20-1331-2016
   Chaturvedi RK, 2012, CURR SCI INDIA, V103, P791
   Desai S, 2019, INDIAN J AGR SCI, V89, P1033
   EASTERLING WE, 1992, AGR FOREST METEOROL, V59, P17, DOI 10.1016/0168-1923(92)90084-H
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gebre S.L., 2015, J. Climatol. Weather Forecast, V3, P2, DOI DOI 10.4172/2332-2594.1000121
   Gosain AK, 2011, CURR SCI INDIA, V101, P356
   GROTCH SL, 1991, J CLIMATE, V4, P286, DOI 10.1175/1520-0442(1991)004<0286:TUOGCM>2.0.CO;2
   Islam A, 2012, T ASABE, V55, P2135
   Islam AKMS, 2018, J WATER CLIM CHANGE, V9, P434, DOI 10.2166/wcc.2017.076
   Islam A, 2012, WATER RESOUR MANAG, V26, P1409, DOI 10.1007/s11269-011-9965-0
   Jung CG, 2016, HYDROLOG SCI J, V61, P793, DOI 10.1080/02626667.2014.943231
   Kumar KK, 2011, CLIM DYNAM, V36, P2159, DOI 10.1007/s00382-010-0974-0
   Kumar N, 2017, J HYDROL-REG STUD, V13, P189, DOI 10.1016/j.ejrh.2017.07.008
   Li FP, 2016, WATER-SUI, V8, DOI 10.3390/w8100420
   Liu X, 2019, WATER-SUI, V11, DOI 10.3390/w11040643
   Mali S.S., 2015, ECOSCAN, V9, P75
   Mearns LO, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P739
   Mishra V, 2016, GLOBAL PLANET CHANGE, V139, P78, DOI 10.1016/j.gloplacha.2016.01.003
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Narsimlu B, 2013, WATER RESOUR MANAG, V27, P3647, DOI 10.1007/s11269-013-0371-7
   NASH LL, 1991, J HYDROL, V125, P221, DOI 10.1016/0022-1694(91)90030-L
   Neitsch S.L., 2012, Soil and Water Assessment Tool (SWAT) Input/Output File Documentation
   Ouyang F, 2015, STOCH ENV RES RISK A, V29, P1781, DOI 10.1007/s00477-014-1018-9
   Pai DS, 2015, CLIM DYNAM, V45, P755, DOI 10.1007/s00382-014-2307-1
   Panjwani S, 2019, THEOR APPL CLIMATOL, V137, P2381, DOI 10.1007/s00704-018-2707-y
   Parajuli PB, 2010, HYDROL PROCESS, V24, P3785, DOI 10.1002/hyp.7793
   Pechlivanidis IG, 2016, WATER-SUI, V8, DOI 10.3390/w8050177
   Piniewski M, 2011, GEOPLANET-EARTH PLAN, P15, DOI 10.1007/978-3-642-19059-9_2
   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]
   RITCHIE JT, 1972, WATER RESOUR RES, V8, P1204, DOI 10.1029/WR008i005p01204
   ROSENBERG NJ, 1989, AGR FOREST METEOROL, V47, P303, DOI 10.1016/0168-1923(89)90102-0
   Saharia AM, 2018, NAT HAZARDS, V92, P1463, DOI 10.1007/s11069-018-3259-2
   Setegn SG, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009248
   Shrestha M, 2017, CURR SCI INDIA, V112, P377, DOI 10.18520/cs/v112/i02/377-384
   Sikka AK, 2018, IRRIG DRAIN, V67, P72, DOI 10.1002/ird.2162
   Sonali P, 2017, THEOR APPL CLIMATOL, V128, P465, DOI 10.1007/s00704-015-1716-3
   Song LR, 2012, PROCEDIA ENGINEER, V28, P241, DOI 10.1016/j.proeng.2012.01.713
   Srivastava AK, 2009, ATMOS SCI LETT, V10, P249, DOI 10.1002/asl.232
   Sujeet Desai Sujeet Desai, 2016, Indian Journal of Soil Conservation, V44, P241
   van Vuuren DP, 2012, GLOBAL ENVIRON CHANG, V22, P21, DOI 10.1016/j.gloenvcha.2011.08.002
   Vandana K, 2019, J WATER CLIM CHANGE, V10, P624, DOI 10.2166/wcc.2018.129
   Wang GS, 2010, HYDROL PROCESS, V24, P1455, DOI 10.1002/hyp.7606
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Wei XH, 2010, WATER RESOUR RES, V46, DOI 10.1029/2010WR009250
   WIGLEY TML, 1987, J CLIMATOL, V7, P231, DOI 10.1002/joc.3370070304
   Wu YP, 2012, SCI TOTAL ENVIRON, V430, P150, DOI 10.1016/j.scitotenv.2012.04.058
   Yan D, 2015, J HYDROL-REG STUD, V4, P228, DOI 10.1016/j.ejrh.2015.06.006
   Yijian D., 1996, ADV WATER SCI, V7, P260
NR 55
TC 11
Z9 12
U1 0
U2 12
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 MAY
PY 2021
VL 12
IS 3
BP 969
EP 996
DI 10.2166/wcc.2020.287
PG 28
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA SA3EK
UT WOS:000649181400020
OA hybrid
DA 2025-01-10
ER

PT J
AU Akinwande, KL
   Arotiowa, AR
   Ete, AJ
AF Akinwande, Kayode Lawrence
   Arotiowa, Adeola Roseline
   Ete, Ayodele John
TI Impacts of changes in temperature and exposure time on the median lethal
   concentrations (LC<sub>50</sub>) of a combination of organophosphate and
   pyrethroid in the control of <i>Culex quinquefasciatus</i>, say
   (Diptera: Culicidae)
SO SCIENTIFIC AFRICAN
LA English
DT Article
DE Cypermethrin; DDVP; Mortality; Median lethal concentration; Temperature;
   Mosquito
ID CLIMATE-CHANGE; INSECTICIDES; TOXICITY; RESISTANT
AB Climate change factors such as rainfall, heat waves, rising temperatures and flooding have positively impacted insect vector population. This scenario poses considerable demand on chemical control. This study was carried out with the specific aim to examine the influence of changes in temperature and exposure time of C quinquefasciatus to toxicities of pyrethroid (Cypermethrin), organophosphate (2, 2- dichlorovinyl dimethyl phosphate) and their mixtures. Eggs of C quinquefasciatus were collected at the Federal University of Technology, Akure, Nigeria, in an area far from residential and cultivated zones, with a remote chance of the mosquitoes being exposed to insecticides. The eggs were allowed to hatch into larvae/pupae in the field at 27-29 degrees C temperature, 70-85% RH, 14:10 (L: D) photoperiod. F-3 adult generation reared were transferred to the Entomology Laboratory and exposed to different concentrations of Cypermethrin and DDVP applied singly and in mixtures at varying temperatures and exposure time with mortality recorded. The median lethal concentration (LC50) values for the insecticides were higher when the insecticides were applied singly than when applied as mixtures. Therefore, mixtures of cypermethrin and DDVP have enhanced toxicity. Again, temperature changes also affect insecticide toxicity and because climate change has a characteristic temperature variability, it poses a barrier to insecticide toxicity. Hence, it is expedient to have a climate change adaptation policy in synergy with modality of chemical applications. Further study of toxico-kinetic of the insecticides in mosquito control is also recommended. (C) 2021 The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
C1 [Akinwande, Kayode Lawrence; Arotiowa, Adeola Roseline] Fed Univ Technol Akure, Dept Biol, Akure, Ondo State, Nigeria.
   [Ete, Ayodele John] Forest Res Inst Nigeria, Forest Hill, Ibadan, Nigeria.
RP Akinwande, KL (corresponding author), Fed Univ Technol Akure, Dept Biol, Akure, Ondo State, Nigeria.
EM klakinwande@futa.edu.ng
CR Akinwande K.L., 2019, SCI AFR, V4
   Alves SB, 2002, J APPL ENTOMOL, V126, P504, DOI 10.1046/j.1439-0418.2002.00674.x
   ANDERSSON T, 1992, AQUAT TOXICOL, V24, P1, DOI 10.1016/0166-445X(92)90014-E
   [Anonymous], 2009, USGCRPGLOBAL CLIMATE
   [Anonymous], 2011, TOXICOL BIOCH INSECT, DOI DOI 10.1201/9781420059762
   [Anonymous], 2006, WHOGUIDELINES TESTIN
   Anyamba A, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0092538
   Bale JS, 2002, GLOBAL CHANGE BIOL, V8, P1, DOI 10.1046/j.1365-2486.2002.00451.x
   Boina DR, 2009, J ECON ENTOMOL, V102, P685, DOI 10.1603/029.102.0229
   CASIDA JE, 1980, ENVIRON HEALTH PERSP, V34, P189, DOI 10.2307/3428960
   Casida JE, 2010, PEST MANAG SCI, V66, P1163, DOI 10.1002/ps.1982
   DEVRIES DH, 1979, J ECON ENTOMOL, V72, P48, DOI 10.1093/jee/72.1.48
   Espeland M, 2010, FRONT ZOOL, V7, DOI 10.1186/1742-9994-7-2
   Fleming R. A., 1995, P505
   Gerberg E. J., 1994, AM MOSQ CONTROL ASS
   Hadaway A. B., 1963, Bulletin of Entomological Research, V54, P329, DOI 10.1017/S0007485300048823
   Hemingway J, 2000, ANNU REV ENTOMOL, V45, P371, DOI 10.1146/annurev.ento.45.1.371
   HEMINGWAY J, 1993, J ECON ENTOMOL, V86, P1631, DOI 10.1093/jee/86.6.1931
   Hodjati MH, 1999, MED VET ENTOMOL, V13, P415, DOI 10.1046/j.1365-2915.1999.00198.x
   Horn DJ, 1998, TEMPERATURES SENSITIVITY IN INSECTS AND APPLICATION IN INTEGRATED PEST MANAGEMENT, P125
   Johnson BJ, 2013, J MED ENTOMOL, V50, P195, DOI 10.1603/ME12035
   KARL TR, 1995, NATURE, V377, P217, DOI 10.1038/377217a0
   King AM, 2015, EMERG MED CLIN N AM, V33, P133, DOI 10.1016/j.emc.2014.09.010
   KULKARNI AP, 1980, PHARMACOL THERAPEUT, V8, P379, DOI 10.1016/0163-7258(80)90054-6
   Laetz CA, 2014, AQUAT TOXICOL, V146, P38, DOI 10.1016/j.aquatox.2013.10.022
   Laskowski Dennis A., 2002, V174, P49
   Patil NS, 1996, MED VET ENTOMOL, V10, P277, DOI 10.1111/j.1365-2915.1996.tb00743.x
   Patz JA, 1998, ENVIRON HEALTH PERSP, V106, P147, DOI 10.1289/ehp.98106147
   Rawlins S C, 1998, Rev Panam Salud Publica, V4, P243
   Suchismita D, 2008, CURR WORLD ENV J, V8, P143, DOI [10.12944/CWE.8.1.08, DOI 10.12944/CWE.8.1.08]
   Sunday O.O., 2016, INT J MOSQ RES, V3, P20
   Swain V, 2008, PARASITOL RES, V103, P299, DOI 10.1007/s00436-008-0969-5
   Tomlin C, 1994, WORLD COMPENDIUM PES
   Weston DP, 2009, ENVIRON TOXICOL CHEM, V28, P173, DOI 10.1897/08-143.1
   WHO Environmental Health Criteria, 1989, CYP, V82
   WHO-World Health Organization, 2005, Guidelines for laboratory and field testing of mosquito larvicides
   Wirtz K., 2009, Bayer CropScience Journal, V62, P145
   Woiwod IP, 1997, J INSECT CONSERV, V1, P149, DOI 10.1023/A:1018451613970
   WOIWOD IP, 1994, LONG-TERM EXPERIMENTS IN AGRICULTURAL AND ECOLOGICAL SCIENCES, P321
   Zaim M, 2000, MED VET ENTOMOL, V14, P1, DOI 10.1046/j.1365-2915.2000.00211.x
   ZHOU XL, 1995, GLOBAL CHANGE BIOL, V1, P303, DOI 10.1111/j.1365-2486.1995.tb00029.x
NR 41
TC 2
Z9 3
U1 0
U2 5
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2468-2276
J9 SCI AFR
JI Sci. Afr.
PD JUL
PY 2021
VL 12
AR e00743
DI 10.1016/j.sciaf.2021.e00743
EA MAR 2021
PG 8
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA UD6MG
UT WOS:000687318800006
OA gold
DA 2025-01-10
ER

PT J
AU Omitaomu, OA
   Kotikot, SM
   Parish, ES
AF Omitaomu, Olufemi A.
   Kotikot, Susan M.
   Parish, Esther S.
TI Planning green infrastructure placement based on projected precipitation
   data
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Green infrastructure; Climate change adaptation; Floods; Projected
   precipitation; Downscaling
ID IMPACT DEVELOPMENT PRACTICES; CLIMATE-CHANGE; ECOSYSTEM SERVICES; FLOOD
   RISK; URBAN; URBANIZATION; LANDSCAPE; FRAMEWORK; INCREASE; SYSTEMS
AB Continued urbanization has led to tremendous changes on the landscape. These changes have exacerbated the effects of extreme climatic events such as flooding because of constrained water infiltration and increased surface flow. Typical runoff control measures involve sophisticated gray infrastructure that guide excess surface flow into storage and disposal sites. In a dynamic climate system, these measures are not sustainable since they cannot be easily modified to accommodate large volumes of runoff. Green Infrastructure (GI) is an adaptable technique that can be used to minimize runoff, in addition to offering an array of additional benefits (urban heat regulation, aesthetics, improved air quality etc.). Strategic placement of GI is key to achieving maximum utility. While physical site characteristics play a major role in determining suitable GI placement sites, knowledge of future precipitation patterns is crucial to ensure successful flood mitigation. In this paper, suitable GI sites within the city of Knoxville, Tennessee, were determined based on potential impact of an extreme flood event as indicated by site characteristics. Then, the relative potential likelihood of a flood event was determined based on projected precipitation data and knowledge of existing flood zones. By combining potential impact with likelihood information, low, medium, and high priority GI implementation sites were established. Results indicate that high priority sites are in the central parts of the city with priority decreasing outward. The GI prioritization scheme presented here, offers valuable guidance to city planners and policy makers who wish to exploit the GI approach for flood mitigation.
C1 [Omitaomu, Olufemi A.] Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN 37830 USA.
   [Kotikot, Susan M.] Penn State Univ, Dept Geog, University Pk, PA 16802 USA.
   [Parish, Esther S.] Oak Ridge Natl Lab, Div Environm Sci, POB 2008, Oak Ridge, TN 37831 USA.
C3 United States Department of Energy (DOE); Oak Ridge National Laboratory;
   Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; United States Department of Energy (DOE); Oak Ridge
   National Laboratory
RP Omitaomu, OA (corresponding author), Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN 37830 USA.
EM omitaomuoa@ornl.gov
RI Parish, Esther/B-9443-2012
FU U.S. Government for Oak Ridge National Laboratory's Laboratory Directed
   Research and Development (LDRD) [7451]; US Department of Energy (DOE)
   [DE-AC05-000R22725]; DOE Public Access Plan
FX The authors thank Linda Sylvester, Thomaz Calvahaes, Michele Thorton,
   Rui Mei and Parul Kaushal for their help with some of the data. The
   authors also thank Erin Gill and Jim Hagerman of City of Knoxville for
   their support of the Urban-CAT project. The authors would like to
   acknowledge the financial support for this research from the U.S.
   Government for Oak Ridge National Laboratory's Laboratory Directed
   Research and Development (LDRD) project number 7451. This manuscript has
   been authored by UT-Battelle, LLC, under contract DE-AC05-000R22725 with
   the US Department of Energy (DOE). The US government retains and the
   publisher, by accepting the article for publication, acknowledges that
   the US government retains a nonexclusive, paid-up, irrevocable,
   worldwide license to publish or reproduce the published form of this
   manuscript, or allow others to do so, for US government purposes. DOE
   will provide public access to these results of federally sponsored
   research in accordance with the DOE Public Access Plan (http: tench
   ay:goy/clown:loads/doe public-access-plan).
CR Action Contre la Faim, 2010, ID VULN PEOPL URB EN
   Ahiablame LM, 2012, WATER AIR SOIL POLL, V223, P4253, DOI 10.1007/s11270-012-1189-2
   Alig RJ, 2004, LANDSCAPE URBAN PLAN, V69, P219, DOI 10.1016/j.landurbplan.2003.07.004
   Alves A, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134980
   Alves A, 2018, WATER RESOUR MANAG, V32, P2505, DOI 10.1007/s11269-018-1943-3
   [Anonymous], 2010, SEL HOUS CHAR 2007 2
   [Anonymous], 2014, WORLD URB PROSP HIGH
   [Anonymous], 2010, VAL GREEN INFR GUID
   [Anonymous], 2004, EPA600R04121A
   [Anonymous], 2010, Adapting to the Impacts of Climate Change, DOI DOI 10.17226/12783
   Ashfaq M, 2016, J GEOPHYS RES-ATMOS, V121, P9943, DOI 10.1002/2016JD025285
   Ballinas M, 2016, J ENVIRON QUAL, V45, P157, DOI 10.2134/jeq2015.01.0056
   Barah M, 2021, OMEGA-INT J MANAGE S, V100, DOI 10.1016/j.omega.2020.102196
   Baro F., 2016, OPENNESS ECOSYSTEM S, P1
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Beauchamp P, 2013, EUR J SUSTAIN DEV, V2, P1, DOI 10.14207/ejsd.2013.v2n3p1
   Brans JP, 2005, INT SER OPER RES MAN, V78, P163, DOI 10.1007/b100605
   Chan AY, 2017, J SUSTAIN WATER BUIL, V3, DOI 10.1061/JSWBAY.0000827
   Chesapeake Stormwater Network, 2009, BULLETIN
   Christman Z, 2018, LAND-BASEL, V7, DOI 10.3390/land7040145
   Clar M.L., 2004, EPA600R04121, V1
   Conservation Advisory Council, 2015, GREEN INFR GUID
   Copeland C., 2016, Green Infrastructure and Issues in Managing Urban Stormwater
   Cornado C, 2017, IOP CONF SER-MAT SCI, V245, DOI 10.1088/1757-899X/245/4/042062
   Dagenais D, 2017, LANDSCAPE RES, V42, P195, DOI 10.1080/01426397.2016.1228861
   Davies, 2009, TOP C SER EES
   DeLong S. C., 2010, BC Journal of Ecosystems and Management, V10, P49
   Dietz ME, 2007, WATER AIR SOIL POLL, V186, P351, DOI 10.1007/s11270-007-9484-z
   Dunn A.D., 2010, Siting Green Infrastructure: Legal and Policy Solutions to Alleviate Urban Poverty and Promote Healthy Communities, DOI DOI 10.3402/IJCH.V72I0.21162
   Economides C., 2014, GREEN INFR SUST SOL
   Ellis JB, 2014, CLEAN-SOIL AIR WATER, V42, P153, DOI 10.1002/clen.201300225
   EPA, 2011, EPA PUBL, DOI [10.1007/s11199-011-0005-6, DOI 10.1007/S11199-011-0005-6]
   EPA, 2014, 800R140022012 EPA GR
   EPA U.S., 2016, GREEN INFR CLIM CHAN
   EPPS PDS, 2018, J SUSTAIN WATER BUIL, V4, P1, DOI DOI 10.1061/JSWBAY.0000853
   Epps TH, 2019, J HYDROL, V575, P442, DOI 10.1016/j.jhydrol.2019.05.062
   European Environment Agency, 2014, 142017 EEA
   Feng XL, 2019, Q J ROY METEOR SOC, V145, P303, DOI 10.1002/qj.3432
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Foster Josh., 2011, VALUE GREEN INFRASTR
   Frazer L, 2005, ENVIRON HEALTH PERSP, V113, pA456, DOI 10.1289/ehp.113-a456
   Garcia-Cuerva L, 2018, J HYDROL, V559, P648, DOI 10.1016/j.jhydrol.2018.02.066
   Gore T., 2013, Green Infrastructure's contribution to economic growth: A review
   Grimm NB, 2008, FRONT ECOL ENVIRON, V6, P264, DOI 10.1890/070147
   Hansen R, 2019, ECOL INDIC, V96, P99, DOI 10.1016/j.ecolind.2017.09.042
   Hansen R, 2014, AMBIO, V43, P516, DOI 10.1007/s13280-014-0510-2
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   HOLLIS GE, 1975, WATER RESOUR RES, V11, P431, DOI 10.1029/WR011i003p00431
   Jayasooriya VM, 2018, WATER RESOUR MANAG, V32, P4297, DOI 10.1007/s11269-018-2052-z
   Kramer M., 2014, Enhancing sustainable communities with green infrastructure
   Kuller M, 2019, SCI TOTAL ENVIRON, V686, P856, DOI 10.1016/j.scitotenv.2019.06.051
   Kuller M, 2018, ENVIRON SCI POLICY, V89, P153, DOI 10.1016/j.envsci.2018.06.011
   Li LY, 2020, LANDSCAPE URBAN PLAN, V194, DOI 10.1016/j.landurbplan.2019.103703
   Lim TC, 2018, FRONT BUILT ENVIRON, V4, DOI 10.3389/fbuil.2018.00071
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Loáiciga HA, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000503
   Maas J, 2006, J EPIDEMIOL COMMUN H, V60, P587, DOI 10.1136/jech.2005.043125
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Maragno D, 2018, ECOL MODEL, V386, P1, DOI 10.1016/j.ecolmodel.2018.08.002
   Meerow S, 2017, LANDSCAPE URBAN PLAN, V159, P62, DOI 10.1016/j.landurbplan.2016.10.005
   Mell I, 2017, INT PLAN STUD, V22, P333, DOI 10.1080/13563475.2017.1291334
   Mohamed, 2010, MISR J AG ENG, V27, P521
   Natl Acad Sci Engn Med, 2019, FRAMING THE CHALLENGE OF URBAN FLOODING IN THE UNITED STATES, P1, DOI 10.17226/25381
   Nie L, 2009, URBAN WATER J, V6, P323, DOI 10.1080/15730620802600924
   NOAA Office for Coastal Management, 2015, GREEN INFR OPT RED F
   Nowak G.M., 2010, RES SERIES MONOGRAPH
   Pauleit S., 2013, Sustainable Built Environ, P224, DOI 10.1007/978-1-4614-5828-9_212
   Pauleit S, 2011, URBAN ECOLOGY: PATTERNS, PROCESSES, AND APPLICATIONS, P272
   Qiu GY, 2013, J INTEGR AGR, V12, P1307, DOI 10.1016/S2095-3119(13)60543-2
   Ranjha S, 2016, BRIEF GSDR 2016
   Reynolds HL, 2020, CLIMATIC CHANGE, V163, P1967, DOI 10.1007/s10584-019-02617-0
   Santos-Reis M., 2016, ADV URBAN GREEN INFR
   Sarkar S, 2018, EARTH INTERACT, V22, P1, DOI 10.1175/EI-D-17-0015.1
   Sensing R., 2019, QUANTIFYING EVAPOTRA, P1, DOI [10.3390/rs11020202, DOI 10.3390/RS11020202]
   Shuster, 2014, EPA60014063 OFF RES
   Sinisi L., 2010, Guidance on Water Supply and Sanitation in Extreme Weather Events
   Smith Keith., 1998, FLOODS PHYS PROCESSE
   Sylvester O.A., 2019, CURR ENV ENG, V6, P55, DOI [10.2174/2212717806666190204102225, DOI 10.2174/2212717806666190204102225]
   Taguchi VJ, 2020, WATER-SUI, V12, DOI 10.3390/w12020522
   TAHVONEN O, 2018, SUSTAINABILITY-BASEL, V10, DOI DOI 10.3390/SU10124571
   Teng J, 2017, ENVIRON MODELL SOFTW, V90, P201, DOI 10.1016/j.envsoft.2017.01.006
   Tennessee Department of Finance and Administration, 2013, GIS DAT TENN LIDAR D
   Thiagarajan M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10103665
   United States Department of Agriculture, 2006, GEOSP DAT GAT
   United States Environmental Protection Agency, 2016, CLIM AD STORMW RUN
   Urban Climate Lab, 2016, BEN GREEN INFR HEAT
   Urban M.L., 2011, LANDSCAN US 2010
   USDA-NRCS, 2014, GEOSP DAT GAT
   Valente D, 2020, ECOL INDIC, V108, DOI 10.1016/j.ecolind.2019.105694
   van Aalst MK, 2006, DISASTERS, V30, P5, DOI 10.1111/j.1467-9523.2006.00303.x
   Van der Ryn S., 2013, ECOLOGICAL DESIGN
   Venter ZS, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136193
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Wehner M.F., 2017, CLIMATE SCI SPECIAL, VI., P231, DOI [DOI 10.7930/J0CJ8BNN, 10.7930/JOCJ8BNN, DOI 10.7930/JOCJ8BNN]
   Wright H, 2011, LOCAL ENVIRON, V16, P1003, DOI 10.1080/13549839.2011.631993
   XU XF, 2018, SUSTAINABILITY-BASEL, V10, DOI DOI 10.3390/SU10124710
NR 96
TC 17
Z9 17
U1 3
U2 67
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 111718
DI 10.1016/j.jenvman.2020.111718
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PS9IX
UT WOS:000608236500011
PM 33310242
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Mason, RE
   White, A
   Bucini, G
   Anderzén, J
   Méndez, VE
   Merrill, SC
AF Mason, Rachel E.
   White, Alissa
   Bucini, Gabriela
   Anderzen, Janica
   Mendez, V. Ernesto
   Merrill, Scott C.
TI The evolving landscape of agroecological research
SO AGROECOLOGY AND SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE Agroecology; food systems; bibliometric analysis; network analysis;
   bibliographic coupling; metaknowledge
ID FOOD SOVEREIGNTY; BIODIVERSITY CONSERVATION; SMALLHOLDER LIVELIHOODS;
   PEST-MANAGEMENT; CLIMATE-CHANGE; SYSTEMS; SECURITY; FARMERS;
   TRANSDISCIPLINARY; SUSTAINABILITY
AB It has been widely argued that agroecological science, which originally developed as the application of ecological principles to agricultural systems, should engage with the social and political issues that affect production agriculture, and incorporate knowledge from a variety of sources. In this paper, we use techniques from network science and bibliometrics to evaluate the degree to which this transformation has taken place. By creating networks based on over 3,000 agroecology papers and the roughly 160,000 references they cite, we distinguish the sub-fields ("research fronts") that made up agroecology in three time intervals: 1982-2004, 2005-2013, and 2014-2018. We also identify the main disciplines from which the research fronts in 2014-2018 drew their supporting knowledge. We suggest that, very broadly, themes in agroecological research include: Ecosystem services; (agro)biodiversity; approaches to agricultural intensification; tropical agroecosystems (particularly coffee); pest and weed management; organic agriculture; cropping systems; system transitions, modeling, and design; climate change adaptation; food sovereignty; education; and the nature and purpose of agroecology itself. Some research fronts mainly cite papers in natural science fields such as ecology, environmental science, agriculture, and entomology. However, others draw upon work in social science areas including development studies, environmental studies, and anthropology. The analysis presented in this paper demonstrates that agroecology has indeed evolved to possess many of the characteristics of an "ecology of [the entire] food system." We anticipate that this work will also be of use to those wishing to gain an overview of the field or identify key papers, knowledge gaps, and potential collaborations.
C1 [Mason, Rachel E.; White, Alissa; Bucini, Gabriela; Anderzen, Janica; Mendez, V. Ernesto; Merrill, Scott C.] Univ Vermont, Dept Plant & Soil Sci, Burlington, VT 05405 USA.
   [Mason, Rachel E.] Natl Socioenvironm Synth Ctr, Annapolis, MD USA.
   [White, Alissa; Anderzen, Janica; Mendez, V. Ernesto; Merrill, Scott C.] Univ Vermont, Gund Inst Environm, Burlington, VT USA.
   [White, Alissa; Bucini, Gabriela; Anderzen, Janica; Mendez, V. Ernesto] Univ Vermont, Agroecol & Livelihoods Collaborat, Burlington, VT USA.
C3 University of Vermont; University of Vermont; University of Vermont
RP Mason, RE (corresponding author), Univ Vermont, Dept Plant & Soil Sci, Burlington, VT 05405 USA.
EM rachel.e.mason1@gmail.com
OI Merrill, Scott/0000-0001-5574-9703; White, Alissa/0000-0003-4448-1718
FU UVM College of Agriculture and Life Sciences
FX REM would like to acknowledge J. Gorres for thought-provoking comments
   on an early version of this manuscript, and also appreciates support
   from the UVM College of Agriculture and Life Sciences. The authors are
   grateful to the anonymous reviewer for constructive comments that
   significantly improved the presentation of the results in this paper.
CR Addinsall C, 2015, AGROECOL SUST FOOD, V39, P691, DOI 10.1080/21683565.2015.1017785
   Agarwal B, 2014, J PEASANT STUD, V41, P1247, DOI 10.1080/03066150.2013.876996
   Alteri MA, 2002, AGR ECOSYST ENVIRON, V93, P1, DOI 10.1016/S0167-8809(02)00085-3
   Altieri M. A., 1987, Agroecology. The scientific basis of alternative agriculture.
   ALTIERI MA, 1989, AGR ECOSYST ENVIRON, V27, P37, DOI 10.1016/0167-8809(89)90070-4
   Altieri MA, 2004, FRONT ECOL ENVIRON, V2, P35, DOI 10.1890/1540-9295(2004)002[0035:LEATFI]2.0.CO;2
   Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6
   ALTIERI MA, 1993, AGR ECOSYST ENVIRON, V46, P257, DOI 10.1016/0167-8809(93)90029-O
   ALTIERI MA, 1992, AGR ECOSYST ENVIRON, V39, P23, DOI 10.1016/0167-8809(92)90203-N
   Altieri MA, 2011, J PEASANT STUD, V38, P587, DOI 10.1080/03066150.2011.582947
   Amekawa Y, 2011, J SUSTAIN AGR, V35, P118, DOI 10.1080/10440046.2011.539124
   Anderson CR, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11195272
   Anderzén J, 2020, J RURAL STUD, V77, P33, DOI 10.1016/j.jrurstud.2020.04.001
   ANDREWS KL, 1992, FLA ENTOMOL, V75, P429, DOI 10.2307/3496124
   [Anonymous], 2010, Atlas of science: Visualizing what we know
   Bacon CM, 2014, GLOBAL ENVIRON CHANG, V25, P133, DOI 10.1016/j.gloenvcha.2014.02.005
   Bernstein H, 2014, J PEASANT STUD, V41, P1031, DOI 10.1080/03066150.2013.852082
   Bettencourt LMA, 2009, J INFORMETR, V3, P210, DOI 10.1016/j.joi.2009.03.001
   Blondel VD, 2008, J STAT MECH-THEORY E, DOI 10.1088/1742-5468/2008/10/P10008
   Bornmann L, 2008, J DOC, V64, P45, DOI 10.1108/00220410810844150
   Boyack KW, 2010, J AM SOC INF SCI TEC, V61, P2389, DOI 10.1002/asi.21419
   Boykoff MT, 2007, GEOFORUM, V38, P1190, DOI 10.1016/j.geoforum.2007.01.008
   Bruil J., 2019, Strengthening FAOs Commitment to Agroecology
   Burger M, 2003, SOIL BIOL BIOCHEM, V35, P29, DOI 10.1016/S0038-0717(02)00233-X
   Buttel FrederickH., 2003, New directions in agroecology research and education, P1
   Carvalheiro LG, 2010, J APPL ECOL, V47, P810, DOI 10.1111/j.1365-2664.2010.01829.x
   Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952
   CONWAY GR, 1985, AGR ADMIN EXT, V20, P31, DOI 10.1016/0309-586X(85)90064-0
   Coolsaet B, 2016, J RURAL STUD, V47, P165, DOI 10.1016/j.jrurstud.2016.07.012
   Crane D., 1972, Invisible Colleges: Diffusion of Knowledge in Scientific Communities
   Dalgaard T, 2003, AGR ECOSYST ENVIRON, V100, P39, DOI 10.1016/S0167-8809(03)00152-X
   Dalsgaard JPT, 1997, AGR SYST, V55, P503, DOI 10.1016/S0308-521X(97)00022-X
   DALSGAARD JPT, 1995, ECOL ENG, V4, P181, DOI 10.1016/0925-8574(94)00057-C
   de Molina M., 2019, Political Agroecology: Advancing the Transition to Sustainable Food Systems, V1st
   De Rosnay J., 1979, MACROSCOPE NEW WORLD
   de Wit MM, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000115
   Delate K, 2002, HORTTECHNOLOGY, V12, P345, DOI 10.21273/HORTTECH.12.3.345
   DeLonge MS, 2016, ENVIRON SCI POLICY, V55, P266, DOI 10.1016/j.envsci.2015.09.013
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Drinkwater L., 2016, SYSTEMS RES AGR SUST
   Duru M, 2013, AGR SYST, V114, P84, DOI 10.1016/j.agsy.2012.09.002
   Duru M, 2011, CAH AGRIC, V20, P223, DOI 10.1684/agr.2011.0486
   Giraldo OF, 2018, J PEASANT STUD, V45, P545, DOI 10.1080/03066150.2017.1353496
   Fernandez M, 2013, AGROECOL SUST FOOD, V37, P115, DOI 10.1080/10440046.2012.735633
   Fischer J, 2014, CONSERV LETT, V7, P149, DOI 10.1111/conl.12084
   Francis C, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n03_10
   Francis CA, 2011, CRIT REV PLANT SCI, V30, P226, DOI 10.1080/07352689.2011.554497
   Francis C, 2013, AGROECOL SUST FOOD, V37, P60, DOI 10.1080/10440046.2012.717905
   Gabriel D, 2013, J APPL ECOL, V50, P355, DOI 10.1111/1365-2664.12035
   Gallardo-López F, 2019, REV FAC CIENC AGRAR, V51, P215
   Gehlert S, 2010, SOC WORK PUBLIC HLTH, V25, P408, DOI 10.1080/19371910903241124
   Gianinazzi S, 2010, MYCORRHIZA, V20, P519, DOI 10.1007/s00572-010-0333-3
   Cacho MMYT, 2018, AGROECOL SUST FOOD, V42, P637, DOI 10.1080/21683565.2018.1443313
   Giménez EH, 2011, J PEASANT STUD, V38, P109, DOI 10.1080/03066150.2010.538578
   Gliessman S.R., 2000, Agroecology: Ecological Processes in Sustainable Agriculture
   Gliessman SR, 2015, AGROECOLOGY: THE ECOLOGY OF SUSTAINABLE FOOD SYSTEMS, 3RD EDITION, P1, DOI 10.1201/b19500
   GLIESSMAN SR, 1981, AGRO-ECOSYSTEMS, V7, P173, DOI 10.1016/0304-3746(81)90001-9
   Gomiero T, 2011, CRIT REV PLANT SCI, V30, P6, DOI 10.1080/07352689.2011.553515
   de Molina MG, 2016, ADV AGROECOL, P55
   De Molina MG, 2013, AGROECOL SUST FOOD, V37, P45, DOI 10.1080/10440046.2012.705810
   Hawkesworth S, 2003, LAND DEGRAD DEV, V14, P175, DOI 10.1002/ldr.546
   Holt-Giménez E, 2002, AGR ECOSYST ENVIRON, V93, P87, DOI 10.1016/S0167-8809(02)00006-3
   Holt-Giménez E, 2013, AGROECOL SUST FOOD, V37, P90, DOI 10.1080/10440046.2012.716388
   Jarneving B, 2005, SCIENTOMETRICS, V65, P245, DOI 10.1007/s11192-005-0270-7
   Kerr RB, 2019, J PEASANT STUD, V46, P1499, DOI 10.1080/03066150.2018.1547897
   KESSLER MM, 1963, AM DOC, V14, P10, DOI 10.1002/asi.5090140103
   Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05103-170444
   Lee RP, 2013, ENVIRON POLIT, V22, P216, DOI 10.1080/09644016.2012.730266
   Levidow L, 2014, AGROECOL SUST FOOD, V38, P1127, DOI 10.1080/21683565.2014.951459
   Lotter DW, 2003, J SUSTAIN AGR, V21, P59, DOI 10.1300/J064v21n04_06
   Lovell ST, 2010, AGR SYST, V103, P327, DOI 10.1016/j.agsy.2010.03.003
   MacDonald F, 1998, FIDDLEHEAD, P26
   Martin AR, 2018, J APPL ECOL, V55, P5, DOI 10.1111/1365-2664.13039
   Mas AH, 2003, ECOL APPL, V13, P1491, DOI 10.1890/01-5229
   Méndez VE, 2007, AGR ECOSYST ENVIRON, V119, P145, DOI 10.1016/j.agee.2006.07.004
   Méndez VE, 2013, AGROECOL SUST FOOD, V37, P3, DOI 10.1080/10440046.2012.736926
   Méndez VE, 2010, PROF GEOGR, V62, P357, DOI 10.1080/00330124.2010.483638
   Méndez VE, 2001, AGROFOREST SYST, V51, P85, DOI 10.1023/A:1010622430223
   Mendez VM, 2017, LECT N MOBIL, P3, DOI 10.1007/978-3-319-51602-8_1
   Mercer KL, 2012, GLOBAL ENVIRON CHANG, V22, P495, DOI 10.1016/j.gloenvcha.2012.01.003
   Meyfroidt P, 2008, LAND USE POLICY, V25, P182, DOI 10.1016/j.landusepol.2007.06.001
   Morelli F, 2013, ECOL ENG, V57, P261, DOI 10.1016/j.ecoleng.2013.04.043
   MULKAY MJ, 1975, SOCIOLOGY, V9, P187, DOI 10.1177/003803857500900201
   NUBERG IK, 1994, ENVIRON MANAGE, V18, P797, DOI 10.1007/BF02393611
   Perfecto I, 2002, CONSERV BIOL, V16, P174, DOI 10.1046/j.1523-1739.2002.99536.x
   Perfecto I, 2008, ANN NY ACAD SCI, V1134, P173, DOI 10.1196/annals.1439.011
   Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742
   Ponisio L C., 2015, Diversification practices reduce organic to conventional yield gap
   Porter AL, 2009, SCIENTOMETRICS, V81, P719, DOI 10.1007/s11192-008-2197-2
   Porter AL, 2009, J NANOPART RES, V11, P1023, DOI 10.1007/s11051-009-9607-0
   Pretty J, 2008, PHILOS T R SOC B, V363, P447, DOI 10.1098/rstb.2007.2163
   Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583
   PRICE DJD, 1965, SCIENCE, V149, P510
   Ranganathan J, 2007, ECOL APPL, V17, P1499, DOI 10.1890/06-0285.1
   Ratnadass A, 2012, AGRON SUSTAIN DEV, V32, P273, DOI 10.1007/s13593-011-0022-4
   Rosegrant MW, 2003, SCIENCE, V302, P1917, DOI 10.1126/science.1092958
   Rossel RAV, 2016, EARTH-SCI REV, V155, P198, DOI 10.1016/j.earscirev.2016.01.012
   Rosset P. M., 2017, Agroecology: science and politics
   Rosset PM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05000-170317
   Rosset PM, 1997, SOC NATUR RESOUR, V10, P283, DOI 10.1080/08941929709381027
   Schattman R, 2015, ADV AGROECOL, P325
   Guzmán ES, 2013, AGROECOL SUST FOOD, V37, P32, DOI 10.1080/10440046.2012.695763
   Sherwood S, 2000, APPL SOIL ECOL, V15, P85, DOI 10.1016/S0929-1393(00)00074-3
   Skupin A, 2004, P NATL ACAD SCI USA, V101, P5274, DOI 10.1073/pnas.0307654100
   Stanley DA, 2013, J INSECT CONSERV, V17, P1181, DOI 10.1007/s10841-013-9599-z
   Steinberg MK, 1998, PROF GEOGR, V50, P407, DOI 10.1111/0033-0124.00129
   Thompson J, 2009, ENVIRON SCI POLICY, V12, P386, DOI 10.1016/j.envsci.2009.03.001
   Timmermann C, 2015, AGR HUM VALUES, V32, P523, DOI 10.1007/s10460-014-9581-8
   Tittonell P, 2014, AGR SYST, V126, P3, DOI 10.1016/j.agsy.2013.10.010
   Tomich TP, 2011, ANNU REV ENV RESOUR, V36, P193, DOI 10.1146/annurev-environ-012110-121302
   Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068
   Vanloqueren G, 2009, RES POLICY, V38, P971, DOI 10.1016/j.respol.2009.02.008
   Waldenström C, 2008, INT J AGR SUSTAIN, V6, P236, DOI 10.3763/ijas.2008.0246
   Wallace ML, 2009, J AM SOC INF SCI TEC, V60, P240, DOI 10.1002/asi.20987
   WEINBERG BH, 1974, INFORM STORAGE RET, V10, P189, DOI 10.1016/0020-0271(74)90058-8
   Wezel A, 2011, SUSTAINABLE AGRICULTURE, VOL 2, P27, DOI 10.1007/978-94-007-0394-0_3
   Wezel A, 2009, INT J AGR SUSTAIN, V7, P3, DOI 10.3763/ijas.2009.0400
   Wezel A, 2014, AGRON SUSTAIN DEV, V34, P1, DOI 10.1007/s13593-013-0180-7
   Wilson E.O., 2016, Half-Earth: Our Planet's Fight for Life
   WORSTER D, 1990, J AM HIST, V76, P1087, DOI 10.2307/2936586
   ZIMMERER KS, 1994, ANN ASSOC AM GEOGR, V84, P108, DOI 10.1111/j.1467-8306.1994.tb01731.x
   Zupic I, 2015, ORGAN RES METHODS, V18, P429, DOI 10.1177/1094428114562629
NR 122
TC 32
Z9 34
U1 7
U2 72
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 2168-3565
EI 2168-3573
J9 AGROECOL SUST FOOD
JI Agroecol. Sustain. Food Syst.
PD APR 21
PY 2021
VL 45
IS 4
BP 551
EP 591
DI 10.1080/21683565.2020.1845275
EA DEC 2020
PG 41
WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Science & Technology - Other Topics
GA QM2NF
UT WOS:000596736300001
DA 2025-01-10
ER

PT J
AU McDowell, G
   Harris, L
   Koppes, M
   Price, MF
   Chan, KMA
   Lama, DG
AF McDowell, Graham
   Harris, Leila
   Koppes, Michele
   Price, Martin F.
   Chan, Kai M. A.
   Lama, Dhawa G.
TI From needs to actions: prospects for planned adaptations in high
   mountain communities
SO CLIMATIC CHANGE
LA English
DT Article
DE Adaptation; UNFCCC; Climate change; Mountains; Nepal; Himalayas
ID CLIMATE-CHANGE ADAPTATION; VULNERABILITY; IMPACTS; PARTICIPATION; POWER;
   PERCEPTIONS; RESILIENCE; FRAMEWORK; INSIGHTS; POLITICS
AB Adaptation needs in high mountain communities are increasingly well documented, yet most efforts to address these needs continue to befall mountain people who have contributed little to the problem of climate change. This situation represents a contravention of accepted norms of climate justice and calls attention to the need for better understanding of prospects for externally resourced adaptation initiatives in high mountain areas. In response, this paper examines the architecture of formal adaptation support mechanisms organized through the United Nations Framework Convention on Climate Change (UNFCCC) and how such mechanisms might help to meet adaptation needs in high mountain communities. It outlines key global adaptation initiatives organized through the UNFCCC, clarifies idealized linkages between these global adaptation initiatives and meeting local adaptation needs, and evaluates actual progress in connecting such support with discrete adaptation needs in the upper Manaslu region of Nepal. The paper then critically examines observed shortcomings in matching adaptation support organized through the UNFCCC with local adaptation needs, including complications stemming from the bureaucratic nature of formal adaptation support mechanisms, the intervening role of the state in delivering aid, and the ways in which these complexities intersect with the specific socio-cultural contexts of mountain communities. It concludes by highlighting several prospects for increasing the quantity and quality of adaptation support to mountain communities. These opportunities are considered alongside several salient concerns about formal adaptation support mechanisms in an effort to provide a well-rounded assessment of the prospects for planned adaptations in high mountain communities.
C1 [McDowell, Graham; Harris, Leila; Koppes, Michele; Chan, Kai M. A.] Univ British Columbia, Inst Resources Environm & Sustainabil IRES, Vancouver, BC, Canada.
   [Price, Martin F.] Univ Highlands & Isl, Ctr Mt Studies, Perth Coll, Perth, Scotland.
   [Lama, Dhawa G.] Asia Khamsang Tours & Trekking, Kathmandu, Nepal.
C3 University of British Columbia; University of the Highlands & Islands
RP McDowell, G (corresponding author), Univ British Columbia, Inst Resources Environm & Sustainabil IRES, Vancouver, BC, Canada.
EM grahammcdowell@gmail.com
RI ; Harris, Leila/C-7156-2013; Chan, Kai/C-1682-2009
OI McDowell, Graham/0000-0003-2302-2598; Koppes,
   Michele/0000-0003-0580-2718; Harris, Leila/0000-0002-1700-1902; Chan,
   Kai/0000-0002-7804-3276; Price, Martin/0000-0002-7430-7262
FU University of Zurich; Social Sciences and Humanities Research Council of
   Canada (SSHRC Vanier Canada Graduate Scholarship); Canadian
   International Development Research Centre (IDRC Doctoral Research
   Award); University of British Columbia: The Liu Institute for Global
   Issues; University of British Columbia: The Institute for Asian
   Research; University of British Columbia: The Public Scholars Initiative
FX Open access funding provided by University of Zurich. The study was
   supported by funding from the Social Sciences and Humanities Research
   Council of Canada (SSHRC Vanier Canada Graduate Scholarship), the
   Canadian International Development Research Centre (IDRC Doctoral
   Research Award), and initiatives at the University of British Columbia:
   The Liu Institute for Global Issues, The Institute for Asian Research,
   and The Public Scholars Initiative.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adler C, 2019, REG ENVIRON CHANGE, V19, P1225, DOI 10.1007/s10113-019-01507-6
   [Anonymous], 2016, NATUREBASED SOLUTION, DOI [DOI 10.2305/IUCN.CH.2016.13.EN, DOI 10.1068/a35111]
   [Anonymous], 2015, CLIMATIC CHANGE, DOI [DOI 10.1007/s10584-015-1529-5, DOI 10.1007/978-3-319-92288-1_12]
   [Anonymous], 2013, MOUNT GEOGR PHYS, DOI DOI 10.1007/978-3-319-92288-1_13
   [Anonymous], 2019, IPCC SPECIAL REPORT
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Belfer E, 2019, GLOBAL ENVIRON POLIT, V19, P12, DOI 10.1162/glep_a_00489
   Bengtsson M., 2016, PLAN PERFORM QUALITA, V2, P8, DOI [DOI 10.1016/J.NPLS.2016.01.001, 10.1016/j.npls.2016.01.001]
   Bennike R.B., 2017, HIMALAYA, the Journal of the Association for Nepal and Himalayan Studies, V37, P9, DOI DOI 10.1007/978-3-319-16501-1_7
   Bennike RB, 2018, REPUBLICA, V6
   Bennike RB, 2020, CAN J DEV STUD, V41, P110, DOI 10.1080/02255189.2020.1700786
   Betsill M, 2015, GLOBAL ENVIRON POLIT, V15, P1, DOI 10.1162/GLEP_a_00294
   Carey M, 2017, ANN AM ASSOC GEOGR, V107, P350, DOI 10.1080/24694452.2016.1243039
   Childs G, 2004, TIBETAN DIARY: FROM BIRTH TO DEATH AND BEYOND IN A HIMALAYAN VALLEY OF NEPAL, P1
   Debarbieux Bernard., 2015, MOUNTAIN POLITICAL H
   Díaz S, 2019, SCIENCE, V366, P1327, DOI 10.1126/science.aax3100
   Dixit A, 2016, CLIMATE FINANCE FUND
   Donner SD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054006
   Egan P., 2017, MOUNTAIN ECOSYSTEM S, DOI DOI 10.1016/j.gloenvcha.2015.09.014
   Eisner E.W., 1991, The enlightened eye: Qualitative inquiry and the enhancement of educational practice
   Ensor JE, 2019, ENVIRON SCI POLICY, V94, P227, DOI 10.1016/j.envsci.2019.01.013
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   FAO, 2015, MAPPING VULNERABILIT, P68
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Folke C, 2010, ECOL SOC, V15
   Ford J, 2016, CLIMATIC CHANGE, V139, P429, DOI 10.1007/s10584-016-1820-0
   Ford JD, 2020, ONE EARTH, V2, P532, DOI 10.1016/j.oneear.2020.05.014
   Ford JD, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104005
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gagné K, 2014, WIRES CLIM CHANGE, V5, P793, DOI 10.1002/wcc.315
   Gardner JS, 2013, MOUNTAIN GEOGRAPHY: PHYSICAL AND HUMAN DIMENSIONS, P267
   GEF, 2019, PROJ
   GEF, 2019, EC BAS AD CLIM RES D
   Gentle P, 2012, ENVIRON SCI POLICY, V21, P24, DOI 10.1016/j.envsci.2012.03.007
   GON, 2011, CLIM CHANG POL 2011
   GoN, 2011, NAT FRAM LOV AD PLAN, P56
   GUTERRES A., 2017, Climate Change and Disasters "A Suicidal Development
   Hewitt K, 2012, J ALPINE RES REV GEO, DOI DOI 10.1073/pnas.1115521109
   Huss M, 2017, EARTHS FUTURE, V5, P418, DOI 10.1002/2016EF000514
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jurt C, 2015, CLIMATIC CHANGE, V133, P511, DOI 10.1007/s10584-015-1529-5
   Ka Ching Chan, 2019, 2019 International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE), P157, DOI 10.1109/MoRSE48060.2019.8998694
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kaul V, 2019, HOLISTICALLY UNDERST, P265, DOI DOI 10.1016/j.landurbplan.2015.02.010
   Khan MR, 2013, WIRES CLIM CHANGE, V4, P171, DOI 10.1002/wcc.212
   Lemos MC, 2007, ECOL SOC, V12
   Lesnikowski A, 2017, CLIM POLICY, V17, P825, DOI 10.1080/14693062.2016.1248889
   Magnan AK, 2016, SCIENCE, V352, P1280, DOI 10.1126/science.aaf5002
   Maharjan SK, 2019, INT J CONSERV SCI, V10, P351
   Mahat TJ, 2019, ENVIRON SCI EUR, V31, DOI 10.1186/s12302-019-0222-0
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McDowell G, 2013, REG ENVIRON CHANGE, V13, P299, DOI 10.1007/s10113-012-0333-2
   McDowell G, LIVED EXPERIENCES PE, DOI DOI 10.1080/14693062.2014.1003775
   McDowell G, 2019, GLOBAL ENVIRON CHANG, V54, P19, DOI 10.1016/j.gloenvcha.2018.10.012
   McDowell G, 2017, WATER-SUI, V9, DOI 10.3390/w9100739
   McDowell G, 2014, CLIMATIC CHANGE, V126, P77, DOI 10.1007/s10584-014-1215-z
   Mills-Novoa M, 2017, ANN AM ASSOC GEOGR, V107, P393, DOI 10.1080/24694452.2016.1232618
   MoE, 2010, CLIM CHANG VULN MAPP, P96
   MoE, 2010, NAT AD PROGR ACT NAP, P96
   MoFE, 2018, NEP NAT AD PLAN NAP, P54
   MoH, 2015, CLIM CHANG HLTH AD S, P38
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   MoSTE, 2014, EC IMP ASS CLIM CHAN, P25
   Muccione V, 2016, MT RES DEV, V36, P364, DOI 10.1659/MRD-JOURNAL-D-15-00016.1
   Munoz Luis, 2015, LECT NOTES COMPUTER, P78, DOI [DOI 10.1109/MORSE48060.2019.8998694, 10.1007/978-3-319-16501-1_7, DOI 10.1007/978-3-319-16501-1_7]
   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
   NPC, 2011, CLIM RES PLANN TOOL, P50
   NTNC, 2019, NAT TRUST NAT CONS M
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Orlove B, 2019, REG ENVIRON CHANGE, V19, P1295, DOI 10.1007/s10113-019-01482-y
   Palazzi E, 2019, CLIM DYNAM, V52, P2685, DOI 10.1007/s00382-018-4287-z
   Palomo I, 2017, MT RES DEV, V37, P179, DOI 10.1659/MRD-JOURNAL-D-16-00110.1
   Payne G., 2004, SAGE key concepts: Key concepts in social research, P51, DOI DOI 10.4135/9781849209397
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Plachta N., 2018, HIMALAYAN BORDERLAND
   Price MF, 2013, MOUNTAIN GEOGRAPHY: PHYSICAL AND HUMAN DIMENSIONS, P333
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Robson BA, 2018, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00012
   Sapkota P, 2016, J RURAL STUD, V48, P53, DOI 10.1016/j.jrurstud.2016.09.007
   Scott CA, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P257, DOI 10.1007/978-3-319-92288-1_8
   Shawoo Z, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.575
   Shukla R, 2017, NAT HAZARDS, P1
   Silwal P, 2019, CLIM DEV, V11, P886, DOI 10.1080/17565529.2019.1586634
   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
   Sovacool BK, 2011, CLIM POLICY, V11, P1177, DOI 10.1080/14693062.2011.579315
   Sud R, 2015, REG ENVIRON CHANGE, V15, P825, DOI 10.1007/s10113-014-0711-z
   Sutton A, 2019, HEALTH INFO LIBR J, V36, P202, DOI 10.1111/hir.12276
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Turner WR, 2010, CONSERV LETT, V3, P304, DOI 10.1111/j.1755-263X.2010.00128.x
   UNFCCC, 2011, CANC AGR
   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
   Weikmans R, 2019, CLIM DEV, V11, P97, DOI 10.1080/17565529.2017.1410087
   Wilbanks TJ, 2010, ANN ASSOC AM GEOGR, V100, P719, DOI 10.1080/00045608.2010.500200
   Wymann von Dach S, 2017, SAFER LIVES LIVELIHO
   Wymann von Dach S, 2018, LEAVING NO ONE MOUNT
   Wymann von Dach S, 2018, LEAVING NO ONE MOUNT, DOI DOI 10.1080/07900627.2019.1579705
NR 106
TC 5
Z9 6
U1 0
U2 10
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 2020
VL 163
IS 2
BP 953
EP 972
DI 10.1007/s10584-020-02920-1
EA NOV 2020
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 RA4TE
UT WOS:000591217900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Leitold, R
   Diez, JR
   Tran, V
AF Leitold, Roxana
   Revilla Diez, Javier
   Tran, Van
TI Are we expecting too much from the private sector in flood adaptation?
   Scenario-based field experiments with small- and medium-sized firms in
   Ho Chi Minh City, Vietnam
SO CLIMATIC CHANGE
LA English
DT Article
DE Private sector adaptation; Climate change; Flood response; Small; and
   medium-sized firms; Field experiments; Vietnam
ID CLIMATE-CHANGE; EXPERIMENTAL VIGNETTE; MANAGING CLIMATE;
   RISK-MANAGEMENT; STRATEGIES; RESPONSES; BUSINESS; SMES; RESILIENCE;
   GOVERNANCE
AB Adaptive governance approaches emphasize the crucial role of the private sector in enabling climate change adaptation. Yet, the participation of local firms is still lacking, and little is known about the conditions potentially influencing firms' adaptation decisions and mechanisms that might encourage private sector engagement. We address this gap with an empirical analysis of the willingness of manufacturing small- and medium-sized enterprises (SMEs) to participate financially in collective flood adaptation in Ho Chi Minh City (HCMC), a hotspot of future climate change risk. Using scenario-based field experiments, we shed light on internal and external conditions that influence potential investments in collective initiatives and explain what role SMEs can play in flood adaptation. We find that direct impacts of floods, perceived self-responsibility, and strong local ties motivate firms to participate in collective adaptation, whereas government support, sufficient financial resources, and previously implemented flood protection strategies reduce the necessity to act collectively. Here, opportunity costs and the handling of other business risks play a decisive role in investment decisions. This study shows that although private sector engagement appears to be a promising approach, it is not a panacea. Collective initiatives on flood adaptation need formal guidance and should involve local business networks and partnerships to give voice to the needs and capacities of SMEs, but such initiatives should not overstretch firms' responsibilities.
C1 [Leitold, Roxana; Revilla Diez, Javier] Univ Cologne, Inst Geog, Cologne, Germany.
   [Tran, Van] Univ Econ & Law, Ho Chi Minh City, Vietnam.
   [Tran, Van] Vietnam Natl Univ, Ho Chi Minh City, Vietnam.
C3 University of Cologne; Vietnam National University Ho Chi Minh City
   (VNUHCM) System; VNU-HCM University of Economics & Law (VNUHCM-UEL);
   Vietnam National University Ho Chi Minh City (VNUHCM) System
RP Leitold, R (corresponding author), Univ Cologne, Inst Geog, Cologne, Germany.
EM r.leitold@uni-koeln.de
RI ; Revilla Diez, Javier/J-2392-2019
OI Leitold, Roxana/0000-0002-2946-6774; Tran, Van
   Quang/0000-0002-5407-5038; Revilla Diez, Javier/0000-0003-2065-1380
FU Federal Ministry of Education and Research (BMBF) [01LZ1703D];
   University of Economics and Law, Vietnam National University Ho Chi Minh
   City, Vietnam; Projekt DEAL
FX Open Access funding enabled and organized by Projekt DEAL. The
   contribution to this research by Roxana Leitold and Javier Revilla Diez
   is based on the project `DECisions for Adaptive Pathway Design and the
   Integrative Development, Evaluation and Governance of Flood Risk
   Reduction Measures in Transforming Urban-Rural-Systems (DECIDER)',
   funded by the Federal Ministry of Education and Research (BMBF), CLIENT
   II (01LZ1703D). The contribution to this research by Van Tran was funded
   by the University of Economics and Law, Vietnam National University Ho
   Chi Minh City, Vietnam.
CR Abe Y, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100020
   Agrawala S., 2011, OECD Environment Working Papers39, DOI [10.1787/5KG221JKF1G7-EN, DOI 10.1787/5KG221JKF1G7-EN, 10.1787/5kg221jkf1g7-en]
   Aguinis H, 2014, ORGAN RES METHODS, V17, P351, DOI 10.1177/1094428114547952
   Alpizar F, 2011, ECOL ECON, V70, P2317, DOI 10.1016/j.ecolecon.2011.07.004
   [Anonymous], 2017, MULTILEVEL ANAL TECH
   [Anonymous], 2013, GLOB ASS REP DIS RIS
   Atzmüller C, 2010, METHODOLOGY-EUR, V6, P128, DOI 10.1027/1614-2241/a000014
   Averchenkova A, 2016, WIRES CLIM CHANGE, V7, P517, DOI 10.1002/wcc.402
   Bisaro A, 2020, CLIMATIC CHANGE, V160, P671, DOI 10.1007/s10584-019-02507-5
   Challies E, 2016, ENVIRON SCI POLICY, V55, P275, DOI 10.1016/j.envsci.2015.09.012
   Chaudhuri A, 2011, EXP ECON, V14, P47, DOI 10.1007/s10683-010-9257-1
   Chen J, 2013, J CONTING CRISIS MAN, V21, P130, DOI 10.1111/1468-5973.12021
   Christoplos I, 2017, DISASTERS, V41, P448, DOI 10.1111/disa.12215
   Clark-Ginsberg A, 2020, INT J DISAST RISK RE, V43, DOI 10.1016/j.ijdrr.2019.101375
   Delmas MA, 2016, ORGAN ENVIRON, V29, P391, DOI 10.1177/1086026616677827
   Diez JR, 2016, Z WIRTSCHAFTSGEOGR, V60, P121, DOI 10.1515/zfw-2016-0035
   Djalante R, 2011, INT J DISAST RISK SC, V2, P1, DOI 10.1007/s13753-011-0015-6
   Druce L., 2016, Demystifying Adaptation Finance for the Private Sector
   Geaves LH, 2016, ENVIRON SCI POLICY, V55, P281, DOI 10.1016/j.envsci.2015.06.004
   Groothuis P. A., 2009, Agricultural and Resource Economics Review, V38, P271
   Halkos G, 2020, CLIM DEV, V12, P57, DOI 10.1080/17565529.2019.1596782
   Halkos G, 2018, BUS STRATEG ENVIRON, V27, P547, DOI 10.1002/bse.2019
   Kato M, 2018, INT J DISAST RISK RE, V27, P577, DOI 10.1016/j.ijdrr.2017.10.002
   Katzschner A., 2016, Sustainable Ho Chi Minh City: Climate Policies for Emerging Mega Cities, P5
   Leitold R, 2019, J MAPS, V15, P13, DOI 10.1080/17445647.2018.1548385
   Linnenluecke M., 2018, Privatesector action in adaptation: Perspectives on the role of micro, small and medium size enterprises, P19
   Linnenluecke MK, 2013, WIRES CLIM CHANGE, V4, P397, DOI 10.1002/wcc.214
   Linnenluecke MK, 2013, GLOBAL ENVIRON CHANG, V23, P382, DOI 10.1016/j.gloenvcha.2012.07.007
   Linnenluecke MK, 2011, GLOBAL ENVIRON CHANG, V21, P123, DOI 10.1016/j.gloenvcha.2010.09.010
   Lo AY, 2019, CLIMATIC CHANGE, V157, P565, DOI 10.1007/s10584-019-02562-y
   Marfai MA, 2015, NAT HAZARDS, V75, P1127, DOI 10.1007/s11069-014-1365-3
   Marks D, 2017, NAT HAZARDS, V87, P1147, DOI 10.1007/s11069-017-2813-7
   McKnight B, 2016, ORGAN ENVIRON, V29, P290, DOI 10.1177/1086026616629794
   Mees H, 2017, J ENVIRON POL PLAN, V19, P374, DOI 10.1080/1523908X.2016.1223540
   Meinel U, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020569
   Munene M., 2023, Transboundary Climate and Adaptation Risks Governance
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Neise T, 2021, ORGAN ENVIRON, V34, P219, DOI 10.1177/1086026619875435
   Neise T, 2019, INT J DISAST RISK RE, V33, P332, DOI 10.1016/j.ijdrr.2018.10.018
   Neise T, 2018, ENVIRON PLAN C-POLIT, V36, P1522, DOI 10.1177/2399654418771079
   Nguyen TV, 2013, J WORLD BUS, V48, P68, DOI 10.1016/j.jwb.2012.06.008
   Oll J, 2018, BUS SOC, V57, P26, DOI 10.1177/0007650316645337
   Ones U, 2007, J ECON BEHAV ORGAN, V62, P495, DOI 10.1016/j.jebo.2005.04.018
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Park SE, 2012, GLOBAL ENVIRON CHANG, V22, P115, DOI 10.1016/j.gloenvcha.2011.10.003
   Pathak S, 2018, NAT HAZARDS, V93, P957, DOI 10.1007/s11069-018-3335-7
   Pauw P, 2018, PRIVATE SECTOR ACTIO, P99
   Pauw WP, 2015, CLIM POLICY, V15, P583, DOI 10.1080/14693062.2014.953906
   Pinkse J, 2019, BUS SOC, V58, P333, DOI 10.1177/0007650316648688
   Pulver S, 2013, WIRES CLIM CHANGE, V4, P479, DOI 10.1002/wcc.240
   Rooks G, 2000, ACTA SOCIOL, V43, P123, DOI 10.1177/000169930004300203
   Saenger C, 2013, AGR ECON-BLACKWELL, V44, P297, DOI 10.1111/agec.12012
   Sohns F, 2018, SMALL BUS ECON, V50, P219, DOI 10.1007/s11187-017-9886-2
   Tol RSJ, 2006, J RISK RES, V9, P467, DOI 10.1080/13669870600717632
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Trinh PTT, 2017, WP18 VIET NAM I EC P
   Verrest H, 2020, INT DEV PLANN REV, V42, P241, DOI 10.3828/idpr.2020.3
   VIETNAMNET Bridge, 2016, VIETN SEEKS CAP WAT
   Wang Y, 2016, BORSA ISTANB REV, V16, P167, DOI 10.1016/j.bir.2016.06.001
   Wedawatta G, 2014, J FLOOD RISK MANAG, V7, P42, DOI 10.1111/jfr3.12031
   Weinhofer G, 2013, BUS STRATEG ENVIRON, V22, P121, DOI 10.1002/bse.1744
   World Bank, 2019, VIETN SAF CLEAN RES
   Yoshino N., 2016, MAJOR CHALLENGES FAC
NR 63
TC 8
Z9 9
U1 3
U2 17
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 2020
VL 163
IS 1
SI SI
BP 359
EP 378
DI 10.1007/s10584-020-02888-y
EA OCT 2020
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 OZ3MC
UT WOS:000582076900001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Lenderking, HL
   Robinson, SA
   Carlson, G
AF Lincoln Lenderking, Hania
   Robinson, Stacy-ann
   Carlson, Gail
TI Climate change and food security in Caribbean small island developing
   states: challenges and strategies
SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY
LA English
DT Article
DE Adaptation; agriculture; Caribbean; climate change; food; security;
   Small Island Developing States (SIDS); Sustainable Development Goals
   (SDGs)
ID CHANGE ADAPTATION; VULNERABILITIES; CAPACITY; INSIGHTS; FUTURE
AB Caribbean small island developing states (SIDS) are highly vulnerable to the impacts of climate change. Food security is a key issue in the region, and is related to vulnerability in the natural and human system. This short research paper, which reports on a systematic search of the academic literature and is part of a larger research project on climate change adaptation in Caribbean coastal communities, investigates two central questions: (1) what challenges to food security are Caribbean SIDS facing due to climate change? and (2) what strategies, if any, are being used to adapt to these challenges? We review peer-reviewed articles published after the release of Working Group II's contribution to the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change in 2014, which included a chapter on vulnerability and impacts in small islands (Chapter 29). We find that post AR5 articles confirm that climate change will have a significant effect on agriculture and fisheries in the Caribbean, mainly through changing patterns of weather, air and sea surface temperatures, and water availability. These studies highlight the importance of considering the social dimensions of food security in the region when identifying and implementing adaptation strategies, particularly in the context of achieving the Sustainable Development Goals. These social dimensions include the Caribbean's historical and social context as well as its demographics, which feature varying population densities and poverty rates. They serve to increase vulnerability but are imperative considerations for understanding and minimizing the threat climate change poses to food security in the region.
C1 [Lincoln Lenderking, Hania; Robinson, Stacy-ann; Carlson, Gail] Colby Coll, Environm Studies Program, Waterville, ME 04901 USA.
C3 Colby College
RP Robinson, SA (corresponding author), Colby Coll, Environm Studies Program, Waterville, ME 04901 USA.
EM smrobins@colby.edu
RI Robinson, Stacy-ann/R-2769-2019
OI Robinson, Stacy-ann/0000-0003-3163-8771
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2017, About Scopus
   [Anonymous], 2012, FUT WE WANT OUTC DOC
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Bartolucci AA, 2010, EVIDENCE-BASED PRACTICE: TOWARD OPTIMIZING CLINICAL OUTCOMES, P17, DOI 10.1007/978-3-642-05025-1_2
   Delanka-Pedige HMK, 2020, INT J SUST DEV WORLD, V27, P678, DOI 10.1080/13504509.2020.1756977
   EBSCO Industries, 2019, ENV COMPL
   FAO, 2014, FOOD SEC NUTR SMALL
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gohar AA, 2016, AGR SYST, V147, P51, DOI 10.1016/j.agsy.2016.05.008
   Hambleton IR, 2020, LANCET GLOBAL HLTH S, VS2214, DOI [10.1016/S2214-109X(my)30291-6., DOI 10.1016/S2214-109X(MY)30291-6]
   Karnauskas KB, 2018, REG ENVIRON CHANGE, V18, P2273, DOI 10.1007/s10113-018-1331-9
   Lowitt K, 2015, REG ENVIRON CHANGE, V15, P1293, DOI 10.1007/s10113-015-0849-3
   Moher D, 2009, INT J SURG, V339, pb2535, DOI [DOI 10.1016/j.ijsu.2010.02.007, DOI 10.1016/J.IJSU.2010.02.007, 10.1136/bmj.b2535]
   Mycoo MA, 2018, REG ENVIRON CHANGE, V18, P2341, DOI 10.1007/s10113-017-1248-8
   Naidoo R, 2020, NATURE, V583, P198, DOI 10.1038/d41586-020-01999-x
   Nelson HP, 2018, REG ENVIRON CHANGE, V18, P1337, DOI 10.1007/s10113-018-1334-6
   Nguyen C., 2019, Caribbean Geography, V24, P1
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Ortiz-Colón G, 2018, CLIMATIC CHANGE, V146, P47, DOI 10.1007/s10584-017-2110-1
   Pinnegar JK, 2019, ICES J MAR SCI, V76, P1353, DOI 10.1093/icesjms/fsz052
   Popke J, 2016, GEOFORUM, V73, P70, DOI 10.1016/j.geoforum.2014.11.003
   Rhiney K, 2018, REG ENVIRON CHANGE, V18, P2313, DOI 10.1007/s10113-018-1409-4
   Robinson SA, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.653
   Robinson SA, 2020, GEOGR TIDSSKR-DEN, V120, P79, DOI 10.1080/00167223.2020.1733432
   Robinson SA, 2019, CLIMATIC CHANGE, V154, P303, DOI 10.1007/s10584-019-02421-w
   Robinson SA, 2018, ISL STUD J, V13, P79, DOI 10.24043/isj.59
   Robinson SA, 2018, ENVIRON SCI POLICY, V85, P172, DOI 10.1016/j.envsci.2018.03.030
   Robinson SA, 2017, MITIG ADAPT STRAT GL, V22, P669, DOI 10.1007/s11027-015-9693-5
   Schnitter R, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16010070
   Scobie M, 2018, ENVIRON DEV SUSTAIN, V20, P769, DOI 10.1007/s10668-017-9909-9
   Shah KU, 2015, REG ENVIRON CHANGE, V15, P1379, DOI 10.1007/s10113-015-0830-1
   Shultz JM, 2019, DISASTER MED PUBLIC, V13, P5, DOI 10.1017/dmp.2018.28
   Smith GR, 2020, INT J SUST DEV WORLD, V27, P419, DOI 10.1080/13504509.2020.1712558
   Taylor M.A., 2012, Caribbean Studies, V40, P169, DOI DOI 10.1353/CRB.2012.0020
   Taylor MA, 2002, J GEOPHYS RES-OCEANS, V107, DOI 10.1029/2001JC001097
   Taylor MA, 2018, J CLIMATE, V31, P2907, DOI [10.1175/JCLI-D-17-0074.1, 10.1175/jcli-d-17-0074.1]
   Thomas A, 2019, REG ENVIRON CHANGE, V19, P2013, DOI 10.1007/s10113-019-01540-5
   Thomas A, 2018, REG ENVIRON CHANGE, V18, P2197, DOI 10.1007/s10113-018-1430-7
   Tomlinson J., 2018, Caribbean Quarterly, V64, P114, DOI DOI 10.1080/00086495.2018.1435342
   UN-OHRLLS, 2015, SIDS COUNTR PROF
   Voccia A, 2012, INT J SUST DEV WORLD, V19, P101, DOI 10.1080/13504509.2011.634032
   Weis SWM, 2016, CLIMATIC CHANGE, V136, P615, DOI 10.1007/s10584-016-1642-0
   Wenner MD, 2014, WORLD FUTURES REV, V6, DOI [10.1177/1946756715569173, DOI 10.1177/1946756715569173]
   World Bank, 2019, WORLD DEV IND TOT PO
   WRI, 2008, THE CARIBBEAN REGION
NR 46
TC 22
Z9 24
U1 6
U2 31
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 2021
VL 28
IS 3
BP 238
EP 245
DI 10.1080/13504509.2020.1804477
EA AUG 2020
PG 8
WC Green & Sustainable Science & Technology; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA QY7FO
UT WOS:000558462300001
DA 2025-01-10
ER

PT J
AU Kalita, RM
   Das, AK
   Sileshi, GW
   Nath, AJ
AF Kalita, Rinku Moni
   Das, Ashesh Kumar
   Sileshi, Gudeta W.
   Nath, Arun Jyoti
TI Ecosystem carbon stocks in different aged tea agroforestry systems:
   implications for regional ecosystem management
SO TROPICAL ECOLOGY
LA English
DT Article
DE Age chronosequence; Carbon management; Shade trees; Tea bushes; Tree
   density
ID SOIL CARBON; TREE DIVERSITY; SEQUESTRATION; PLANTATIONS; ORCHARDS;
   DYNAMICS; BIOMASS; STORAGE; VALLEY
AB Tea (Camellia sinensis) is often grown under a canopy of trees forming a distinctive agroforestry system covering an estimated area of 3.94 million ha of land globally. Although, tea is a major commercial crop in many countries in tropical and sub-tropical regions, including China, India and Sri Lanka, tea agroforestry systems (TAFS) have remained little studied for their role in carbon management and climate change adaptation/mitigation actions. We, therefore, undertook a detailed study on the storage of organic carbon in above- and below-ground vegetation and soil under age chronosequence of TAFS in North East India. The specific aim of this study was to quantify variations in soil physical and chemical properties, carbon storage in shade trees and tea bushes, and ecosystem carbon stocks under the chronosequence of TAFS. This study has established significant variations in soil properties and carbon storage in different aged TAFS. One of the salient findings is the decrease in soil bulk density and increase in water holding capacity with the age of TAFS in the 0-50 cm depth. The total vegetation C stock (shade trees + tea bushes + litter biomass) increased with increase in the age of TAFS, and the increase was as high as 25% in > 20 years compared to younger (< 10 years old) TAFS. The ecosystem C stock estimated at 162-187 Mg ha(-1)was higher than many temperate and tropical agroforestry systems suggesting TAFS may effectively contribute to Clean Development Mechanisms CDM/REDD+ mechanisms of the United Nations Framework Convention on Climate Change (UNFCCC) once standard guidelines for market mechanisms are in place.
C1 [Kalita, Rinku Moni; Das, Ashesh Kumar; Nath, Arun Jyoti] Assam Univ, Dept Ecol & Environm Sci, Silchar 788011, Assam, India.
   [Sileshi, Gudeta W.] Univ Kwazulu Natal, Sch Agr Earth & Environm Sci, ZA-4041 Pietermaritzburg, South Africa.
C3 Assam University; University of Kwazulu Natal
RP Nath, AJ (corresponding author), Assam Univ, Dept Ecol & Environm Sci, Silchar 788011, Assam, India.
EM arunjyotinath@gmail.com
OI Nath, Arun Jyoti/0000-0002-6453-5595
FU Council of Scientific and Industrial Research (CSIR), New Delhi
   [38(1349)/13/EMR-II]
FX The authors are thankful to the Rosekandy Tea Estate Management for
   their cooperation and support for the fulfilment of the study. We are
   thankful to the Tea Research Association, Cachar Advisory Centre for
   providing meteorological data for the study period. We are grateful to
   the Council of Scientific and Industrial Research (CSIR, Grant no.
   38(1349)/13/EMR-II), New Delhi for financial support to undertake this
   research work.
CR Abebe T, 2013, AGROFOREST SYST, V87, P1283, DOI 10.1007/s10457-013-9637-6
   Alegre J, 2004, P 1 WORLD C AGR BOOK
   [Anonymous], 2016, CLIMATE CHANGE 2014
   [Anonymous], 1996, VOL EQ FOR IND NEP B
   [Anonymous], 1989, CHEM ANAL ECOLOGICAL
   [Anonymous], 2007, FAOSTAT database
   [Anonymous], 1968, A revised survey of forest types of India
   [Anonymous], SOIL CHEM ANAL
   [Anonymous], 1996, METHODS SOIL ANAL 3, DOI DOI 10.2136/SSSABOOKSER5.3.C16
   Brahma B, 2018, LAND DEGRAD DEV, V29, P15, DOI 10.1002/ldr.2816
   Brown S., 1997, Estimating biomass and biomass change of tropical forests: a primer, V134
   Canali S, 2004, BIOL FERT SOILS, V40, P206, DOI 10.1007/s00374-004-0759-x
   Cardinael R, 2017, AGR ECOSYST ENVIRON, V236, P243, DOI 10.1016/j.agee.2016.12.011
   Dawoe EK, 2010, PLANT SOIL, V330, P55, DOI 10.1007/s11104-009-0173-0
   Gama-Rodrigues EF, 2011, SOIL CARBON SEQUESTR, P85
   Gee GW., 1986, Methods of Soil Analysis, DOI [10.2136/sssabookser5.1.2ed.c15, DOI 10.2136/SSSABOOKSER5.1.2-D.C15]
   Han WY, 2013, SOIL SCI PLANT NUTR, V59, P727, DOI 10.1080/00380768.2013.833857
   Jacobi J, 2014, AGROFOREST SYST, V88, P1117, DOI 10.1007/s10457-013-9643-8
   Kalita RM, 2015, BIOMASS BIOENERG, V83, P42, DOI 10.1016/j.biombioe.2015.08.017
   Kamau DM, 2008, PLANT SOIL, V307, P29, DOI 10.1007/s11104-008-9576-6
   Karak T, 2015, PEDOSPHERE, V25, P316, DOI 10.1016/S1002-0160(15)60016-9
   Kim DG, 2016, AGR ECOSYST ENVIRON, V226, P65, DOI 10.1016/j.agee.2016.04.011
   Kumar BM, 2011, ADV AGROFOR, V8, P1, DOI 10.1007/978-94-007-1630-8
   Leon A, 2015, GEODERMA, V237, P168, DOI 10.1016/j.geoderma.2014.09.001
   Li SY, 2011, AGR ECOSYST ENVIRON, V141, P390, DOI 10.1016/j.agee.2011.04.003
   Liao CZ, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0010867
   Marone D, 2017, AGROFOREST SYST, V91, P941, DOI 10.1007/s10457-016-9969-0
   Mavrakis E, 2011, CARBON FOOTPRINT QUA
   Mbolo MMA, 2016, AGROFOREST SYST, V90, P577, DOI 10.1007/s10457-016-9945-8
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Minang P., 2011, Agroforestry in REDD+: Opportunities and Challenges
   Montagnini F, 2004, AGROFOREST SYST, V61-2, P281, DOI 10.1023/B:AGFO.0000029005.92691.79
   Montanaro G, 2012, AGR ECOSYST ENVIRON, V161, P46, DOI 10.1016/j.agee.2012.07.020
   Murthy I. K., 2013, Journal of Earth Science & Climatic Change, V4, P131
   Nair PKR, 2009, ENVIRON SCI POLICY, V12, P1099, DOI 10.1016/j.envsci.2009.01.010
   NAIR R, 1993, IEE CONF PUBL, P499
   Ramos HMN, 2018, AGROFOREST SYST, V92, P221, DOI 10.1007/s10457-017-0131-4
   Negash M, 2015, PLANT SOIL, V393, P95, DOI 10.1007/s11104-015-2469-6
   Newbould PJ, 1967, IBP HDB, V2
   Obi ME, 1999, PLANT SOIL, V211, P165, DOI 10.1023/A:1004609104524
   Pérez-Flores J, 2018, AGROFOREST SYST, V92, P365, DOI 10.1007/s10457-017-0096-3
   Ravindranath N.H., 2008, CARBON INVENTORY MET
   Rinkumoni Kalita Rinkumoni Kalita, 2016, International Journal of Ecology and Environmental Sciences, V42, P175
   ROBERTSON WK, 1974, SOIL SCI SOC AM J, V38, P855, DOI 10.2136/sssaj1974.03615995003800050045x
   Romano N., 2002, METHODS SOIL ANAL 4, V5, P721, DOI DOI 10.2136/SSSABOOKSER5.4.C26
   Roncal-García S, 2008, INTERCIENCIA, V33, P200
   Sathaye J.A., 2001, MITIG ADAPT STRAT GL, V6, P185, DOI [10.1023/A:1013398002336, DOI 10.1023/A:1013398002336]
   Sileshi G. W., 2014, Encyclopedia of Agriculture and Food Systems, V1, P222, DOI [10.1016/B978-0-444-52512-3.00022-X, DOI 10.1016/B978-0-444-52512-3.00022-X]
   Solomon S., 2007, CONTRIBUTION WORKING, P104
   Soto-Pinto L, 2010, AGROFOREST SYST, V78, P39, DOI 10.1007/s10457-009-9247-5
   Tea Research Institute of Sri Lanka, 2003, TRI ADV CIRC
   Wang H, 2010, PEDOSPHERE, V20, P799, DOI 10.1016/S1002-0160(10)60070-7
   Xie TT, 2017, AGROFOREST SYST, V91, P239, DOI 10.1007/s10457-016-9923-1
NR 53
TC 15
Z9 15
U1 5
U2 65
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 0564-3295
EI 2661-8982
J9 TROP ECOL
JI Trop. Ecol.
PD JUN
PY 2020
VL 61
IS 2
BP 203
EP 214
DI 10.1007/s42965-020-00084-8
EA JUN 2020
PG 12
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA MK3GQ
UT WOS:000539842000001
DA 2025-01-10
ER

PT C
AU Braun, M
   Lapin, K
   Zolles, A
   Koller, T
   Hesser, F
   Schüler, S
   Schwarzbauer, P
AF Braun, Martin
   Lapin, Katharina
   Zolles, Anita
   Koller, Theo
   Hesser, Franziska
   Schueler, Silvio
   Schwarzbauer, Peter
BE Nemeth, R
   Rademacher, P
   Hansmann, C
   Bak, M
   Bader, M
TI Impacts of a tree species shift on the Austrian forest-based sector
SO 9TH HARDWOOD PROCEEDINGS, VOL 9 - PT I: AN UNDERUTILIZED RESOURCE:
   HARDWOOD ORIENTED RESEARCH
LA English
DT Proceedings Paper
CT 9th Hardwood Conferece
CY 2020
CL Sopron, HUNGARY
SP Univ Sopron Niensis, Hardwood Res & Utilisat Europe, Mendel Univ Brno, Wood K Plus
DE forest-based sector; forest sector model; tree-species shift; seedling
   demand; climate change
AB The forest-based sector and the increased use of wood products can make an important contribution to climate change adaptation and mitigation. Wood products not only store carbon from the forest in an additional carbon cycle but also help to substitute fossil-based/abiotic products in material and energy use. The efficient circular or cascade use of wood helps to keep carbon longer in the product-based carbon cycle. The presented study compared potential effects of a tree species shift through adaptive forest management ("tree shift scenario") in a simulation-based scenario analysis with a business-as-usual scenario ("reference scenario"). Mast seeding predictions and selected time series with a potential influence on seedling demand (logging activity, timber prices, and economic indicators) were used to formulate multivariate econometric relationships between mast occurrence and seedling demand. Subsequently, a dynamic lagged partial equilibrium model representing the Austrian forest-based sector encompassing forest resources, raw material markets and semi-finished product markets including trade with a rest-of-the-world region was used to thoroughly investigate interdependencies within sub-sectors of the forest-based sector. The model was coupled with an individual-tree-based growth model with data being exchanged iteratively on an annual basis through a cloud-based solution. This approach allowed to simulate the demand for seedlings for seven main tree species based on market framework conditions for seedling demand for spruce, fir, larch, scots pine, stone pine, oak, and beech for both scenarios. For wood utilisation, species data was aggregated for coniferous and non-coniferous wood. The time horizon for the simulations was 2100 to consider effects well beyond the average rotation period.
C1 [Braun, Martin; Schwarzbauer, Peter] Univ Nat Resources & Life Sci Vienna BOKU, Inst Mkt & Innovat, Feistmantelstr 4, A-1180 Vienna, Austria.
   [Lapin, Katharina; Zolles, Anita; Schueler, Silvio] Fed Res & Training Ctr Forests BFVV Nat Hazards &, Seckendorff Gudent Weg 8, A-1180 Vienna, Austria.
   [Koller, Theo; Hesser, Franziska; Schwarzbauer, Peter] Wood K Plus Kompetenzzentrum Holz GmbH, Team Market Anal & Innovat Res, Altenberger Str 69, A-4040 Linz, Austria.
C3 BOKU University
RP Braun, M (corresponding author), Univ Nat Resources & Life Sci Vienna BOKU, Inst Mkt & Innovat, Feistmantelstr 4, A-1180 Vienna, Austria.
EM martin.braun@boku.ac.at
RI Braun, Martin/Q-1416-2017
FU Austrian Climate and Energy Fund [KR16AC0K13339, KR16AC0K13154]
FX This study consists of data derived from two projects funded by the
   Austrian Climate and Energy Fund (CareforParis, project. KR16AC0K13154,
   wood availability for Reference scenario and Tree shifts scenario;
   MoreSeedsAdapt, project. KR16AC0K13339, projection of Mast indicators
   for estimating seedling production)
CR [Anonymous], 2011, BFW PRAXIS INFORM
   Baschny T., 2013, BFW PRAXISINMATIO, V31, P3
   Braun M, 2016, CARBON MANAG, V7, P271, DOI 10.1080/17583004.2016.1230990
   Friel S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188872
   Hajdúchová I, 2016, BIORESOURCES, V11, P4808
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Karopka M, 2017, FVA EINBLICK, V1, P21
   Lehtonen Olli, 2013, Environment Development and Sustainability, V15, P245, DOI 10.1007/s10668-012-9372-6
   Mantau Udo., 2001, Recreational and environmental markets for forest enterprises: A new approach towards marketability of public goods
   Nayha A., 2014, Future of the European forest-based sector: Structural changes towards bioeconomy. What Science Can Tell Us, P43
   Schwarzbauer P., 1993, Der osterreichische Holzmarkt im Modell: EG - Waldsterben - Zellstoffmarkt
   Stümer W, 2010, FOREST ECOL MANAG, V260, P287, DOI 10.1016/j.foreco.2010.04.008
   Teece DJ, 2007, STRATEGIC MANAGE J, V28, P1319, DOI 10.1002/smj.640
NR 13
TC 0
Z9 0
U1 0
U2 2
PU UNIV SOPRON PRESS
PI Sopron
PA Bajcsy-Zs. Street 4., Pf: 132, Sopron, HUNGARY
BN 978-963-334-377-7
PY 2020
BP 64
EP 71
PG 8
WC Materials Science, Paper & Wood
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Materials Science
GA BT8JD
UT WOS:000853723900011
DA 2025-01-10
ER

PT J
AU Dong, NP
   Yu, ZB
   Gu, HH
   Yang, CG
   Yang, MX
   Wei, JH
   Wang, H
   Arnault, J
   Laux, P
   Kunstmann, H
AF Dong, Ningpeng
   Yu, Zhongbo
   Gu, Huanghe
   Yang, Chuanguo
   Yang, Mingxiang
   Wei, Jianhui
   Wang, Hao
   Arnault, Joel
   Laux, Patrick
   Kunstmann, Harald
TI Climate-induced hydrological impact mitigated by a high-density
   reservoir network in the Poyang Lake Basin
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Climate impact; Reservoir network; Hydrologic modelling; Floods
ID HUAIHE RIVER-BASIN; CASCADE HYDROPOWER DEVELOPMENT; BIAS CORRECTION;
   YANGTZE-RIVER; CUMULATIVE IMPACTS; FUTURE CHANGES; PRECIPITATION; MODEL;
   OPERATION; SIMULATIONS
AB The Poyang Lake Basin (PLB) is expected to see more precipitation and higher temperature by 2050. Due to climate change, it is advisable to identify the vulnerable area and to investigate if the local reservoir network of hundreds of larger reservoirs and thousands of smaller reservoirs can effectively mitigate the climate-induced hydrologic variation. Therefore, the local high-density reservoir network is integrated into a distributed hydrologic model (HMS) through a fully coupled reservoir module. We then apply the extended HMS in a one-way coupled mode to the bias corrected Coordinated Regional Downscaling Experiment in East Asia (CORDEX-EA) regional climate simulations under two Representative Concentration Pathways - RCP4.5 and RCP8.5. Results indicate that climate change poses new challenges to water resources management for the PLB, with a likely decrease of water availability in the dry season but an increase of water availability, flood magnitude and flood frequency in the flood season till 2049. The local reservoir network can mitigate climate impacts by displacing excessive water resources in the flood season to the dry season and mitigating floods across the basin. Despite that, much of the southern basin is likely to see a higher risk of water shortage in the dry season, while most of the northern basin is expected to see a higher flood risk. The approach and findings are expected to improve the understanding of the role of reservoirs in the context of climate change, and provide implications for water resources management and climate change adaptation strategies on a regional scale.
C1 [Dong, Ningpeng; Yu, Zhongbo; Gu, Huanghe; Yang, Chuanguo] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China.
   [Dong, Ningpeng; Yu, Zhongbo; Gu, Huanghe; Yang, Chuanguo] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China.
   [Yang, Mingxiang; Wang, Hao] China Inst Water Resources & Hydropower Res, Dept Water Resources, Beijing, Peoples R China.
   [Wei, Jianhui; Arnault, Joel; Laux, Patrick; Kunstmann, Harald] Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpine, Garmisch Partenkirchen, Germany.
   [Laux, Patrick; Kunstmann, Harald] Univ Augsburg, Inst Geog, Augsburg, Germany.
C3 Hohai University; Hohai University; China Institute of Water Resources &
   Hydropower Research; Helmholtz Association; Karlsruhe Institute of
   Technology; University of Augsburg
RP Yu, ZB (corresponding author), Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing, Jiangsu, Peoples R China.; Yu, ZB (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China.; Wei, JH (corresponding author), Karlsruhe Inst Technol, Inst Meteorol & Climate Res IMK IFU, Campus Alpine, Garmisch Partenkirchen, Germany.
EM zyu@hhu.edu.cn; jianhui.wei@kit.edu
RI Gu, Huanghe/AAE-4178-2019; Laux, Patrick/A-7671-2013; Arnault,
   Joël/AAV-2282-2021; Wang, Hao/AAU-8730-2021; Dong,
   Ningpeng/GLU-3558-2022; Wei, Jianhui/K-3567-2016; Kunstmann,
   Harald/A-7071-2013
OI Wei, Jianhui/0000-0001-8609-9600; Dong, Ningpeng/0000-0002-5226-6180;
   Wang, Hao/0000-0001-7594-7387; Kunstmann, Harald/0000-0001-9573-1743
FU National Natural Science Foundation of China [51539003, 41761134090];
   Young Elite Scientists Sponsorship Program by CAST [2017QNRC001];
   National Science Foundation for Young Scientists of China [51709271];
   National Key R&D Program of China [2016YFC0402710, 2016YFC0402706];
   Fundamental Research Funds for the Central Universities [2018B55114];
   National Science Funds for Creative Research Groups of China [51421006];
   Ministry of Science and Technology of China through National Key
   Research and Development Program of China; German Research Foundation
   (DFG) [KU 2090/11-1]
FX This work was supported by the National Natural Science Foundation of
   China (No. 51539003; 41761134090); Young Elite Scientists Sponsorship
   Program by CAST (2017QNRC001); National Science Foundation for Young
   Scientists of China (No. 51709271); National Key R&D Program of China
   (No. 2016YFC0402710; 2016YFC0402706); Fundamental Research Funds for the
   Central Universities (No. 2018B55114) and National Science Funds for
   Creative Research Groups of China (No. 51421006). The contribution of
   Jianhui Wei was supported by the Ministry of Science and Technology of
   China through National Key Research and Development Program of China of
   the 'Guaranteeing Water Security and Ecological Safety on a Large Lake
   Catchment System: The Case of Poyang' project and the German Research
   Foundation through funding of the AccHydro project (DFGgrant KU
   2090/11-1). We thank two anonymous reviewers for their constructive
   comments which helped us significantly improve the manuscript.
CR [Anonymous], 2009, Indicators of Hydrologic Alteration Version 7.1 User's Manual
   Asadieh B, 2016, WATER-SUI, V8, DOI 10.3390/w8050189
   Busker T, 2019, HYDROL EARTH SYST SC, V23, P669, DOI 10.5194/hess-23-669-2019
   Cai CK, 2019, J HYDROL, V577, DOI 10.1016/j.jhydrol.2019.123995
   Cao ML, 2011, SCI CHINA TECHNOL SC, V54, P2138, DOI 10.1007/s11431-011-4450-9
   Chen WL, 2011, J CLIMATE, V24, P4741, DOI 10.1175/2011JCLI4102.1
   Chen XL, 2014, I C RELIABIL MAINTAI, P5, DOI 10.1109/ICRMS.2014.7107124
   Coerver HM, 2018, HYDROL EARTH SYST SC, V22, P831, DOI 10.5194/hess-22-831-2018
   Dang T, 2018, AGR WATER MANAGE, V208, P193, DOI 10.1016/j.agwat.2018.05.018
   Deitch MJ, 2013, WATER RESOUR MANAG, V27, P5101, DOI 10.1007/s11269-013-0455-4
   Deng C, 2015, J HYDROL ENG, V20, DOI 10.1061/(ASCE)HE.1943-5584.0001138
   Dong NP, 2019, HYDROL PROCESS, V33, P1709, DOI 10.1002/hyp.13433
   Ehret U, 2012, HYDROL EARTH SYST SC, V16, P3391, DOI 10.5194/hess-16-3391-2012
   Ehsani N, 2017, J HYDROL, V555, P435, DOI 10.1016/j.jhydrol.2017.09.008
   Ehsani N, 2016, STOCH ENV RES RISK A, V30, P1151, DOI 10.1007/s00477-015-1147-9
   Feng L, 2012, REMOTE SENS ENVIRON, V121, P80, DOI 10.1016/j.rse.2012.01.014
   Grill G, 2014, ECOL INDIC, V45, P148, DOI 10.1016/j.ecolind.2014.03.026
   Gu HH, 2018, WATER-SUI, V10, DOI 10.3390/w10091279
   Gu HH, 2018, HYDROL EARTH SYST SC, V22, P3087, DOI 10.5194/hess-22-3087-2018
   Gu HH, 2015, STOCH ENV RES RISK A, V29, P693, DOI 10.1007/s00477-014-0957-5
   Habets F, 2018, SCI TOTAL ENVIRON, V643, P850, DOI 10.1016/j.scitotenv.2018.06.188
   Hanasaki N, 2006, J HYDROL, V327, P22, DOI 10.1016/j.jhydrol.2005.11.011
   Hoang LP, 2019, SCI TOTAL ENVIRON, V649, P601, DOI 10.1016/j.scitotenv.2018.08.160
   Hu WW, 2008, ECOL ENG, V33, P233, DOI 10.1016/j.ecoleng.2008.04.003
   Khagram S, 2003, ENVIRONMENT, V45, P28, DOI 10.1080/00139150309604542
   Kummu M, 2006, INT J WATER RESOUR D, V22, P497, DOI 10.1080/07900620500482915
   Lauri H, 2012, HYDROL EARTH SYST SC, V16, P4603, DOI 10.5194/hess-16-4603-2012
   Laux P, 2011, HYDROL EARTH SYST SC, V15, P2401, DOI 10.5194/hess-15-2401-2011
   Li DN, 2017, J HYDROL, V551, P217, DOI 10.1016/j.jhydrol.2017.05.061
   Liebe J, 2005, PHYS CHEM EARTH, V30, P448, DOI 10.1016/j.pce.2005.06.011
   Liu JY, 2017, HYDROLOG SCI J, V62, P1809, DOI 10.1080/02626667.2017.1349909
   Lu WW, 2018, J HYDROL, V567, P382, DOI 10.1016/j.jhydrol.2018.10.034
   Lv MX, 2016, J AM WATER RESOUR AS, V52, P168, DOI 10.1111/1752-1688.12375
   Mallakpour I, 2019, GEOPHYS RES LETT, V46, P2130, DOI 10.1029/2018GL081888
   Mallakpour I, 2015, NAT CLIM CHANGE, V5, P250, DOI [10.1038/nclimate2516, 10.1038/NCLIMATE2516]
   Mao G, 2015, HYDROL EARTH SYST SC, V19, P1787, DOI 10.5194/hess-19-1787-2015
   Maraun D, 2017, NAT CLIM CHANGE, V7, P764, DOI 10.1038/NCLIMATE3418
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Ngo L, 2018, CLIMATIC CHANGE, V149, P107, DOI 10.1007/s10584-016-1875-y
   Oh SG, 2014, J GEOPHYS RES-ATMOS, V119, P2913, DOI 10.1002/2013JD020693
   Park C, 2016, CLIM DYNAM, V46, P2469, DOI 10.1007/s00382-015-2713-z
   Piani C, 2010, J HYDROL, V395, P199, DOI 10.1016/j.jhydrol.2010.10.024
   Räsänen TA, 2017, J HYDROL, V545, P28, DOI 10.1016/j.jhydrol.2016.12.023
   Räsänen TA, 2012, WATER RESOUR MANAG, V26, P3495, DOI 10.1007/s11269-012-0087-0
   Sene K, 2010, HYDROMETEOROLOGY: FORECASTING AND APPLICATIONS, P1, DOI 10.1007/978-90-481-3403-8
   Shankman D, 2009, INT J RIVER BASIN MA, V7, P423, DOI 10.1080/15715124.2009.9635400
   Shin S, 2019, WATER RESOUR RES, V55, P787, DOI 10.1029/2018WR023025
   Smiatek G, 2019, J HYDROMETEOROL, V20, P1925, DOI 10.1175/JHM-D-18-0214.1
   Su BD, 2017, CLIMATIC CHANGE, V141, P533, DOI 10.1007/s10584-016-1852-5
   Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052
   Teutschbein C, 2010, GEOGR COMPASS, V4, DOI 10.1111/j.1749-8198.2010.00357.x
   Thrasher B, 2012, HYDROL EARTH SYST SC, V16, P3309, DOI 10.5194/hess-16-3309-2012
   van Beek LPH, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009791
   Voisin N, 2013, HYDROL EARTH SYST SC, V17, P3605, DOI 10.5194/hess-17-3605-2013
   Wada Y, 2016, J ADV MODEL EARTH SY, V8, P735, DOI 10.1002/2015MS000618
   Wagner S, 2016, WATER RESOUR RES, V52, P3187, DOI 10.1002/2015WR018185
   Wang W, 2017, GEOPHYS RES LETT, V44, P10378, DOI 10.1002/2017GL075037
   Wang YK, 2018, SCI TOTAL ENVIRON, V624, P1187, DOI 10.1016/j.scitotenv.2017.12.212
   Wei JH, 2016, J GEOPHYS RES-ATMOS, V121, P6841, DOI 10.1002/2015JD024650
   Wei JH, 2015, J GEOPHYS RES-ATMOS, V120, P6845, DOI 10.1002/2014JD022975
   Wen X, 2018, SCI TOTAL ENVIRON, V633, P1403, DOI 10.1016/j.scitotenv.2018.03.309
   Yang C., 2009, Research on perceived similarity affecting empathy and altruistic behavior for high school students
   Yang CG, 2012, HYDROL RES, V43, P14, DOI 10.2166/nh.2011.112
   Yang CG, 2010, J HYDROMETEOROL, V11, P810, DOI 10.1175/2009JHM1145.1
   Yu Z, 1999, J HYDROL, V218, P72, DOI 10.1016/S0022-1694(99)00022-0
   Yu ZB, 2006, J HYDROL, V331, P110, DOI 10.1016/j.jhydrol.2006.05.021
   Yu ZB, 2018, STOCH ENV RES RISK A, V32, P1, DOI 10.1007/s00477-017-1391-2
   Zhang J, 2019, MATER TODAY CHEM, V11, P42, DOI 10.1016/j.mtchem.2018.10.005
   Zhang L, 2019, HYDROL EARTH SYST SC, V23, P1649, DOI 10.5194/hess-23-1649-2019
   Zhao G, 2016, ADV WATER RESOUR, V98, P16, DOI 10.1016/j.advwatres.2016.10.014
NR 70
TC 33
Z9 35
U1 5
U2 106
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD DEC
PY 2019
VL 579
AR 124148
DI 10.1016/j.jhydrol.2019.124148
PG 12
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA JS5UK
UT WOS:000500371200001
DA 2025-01-10
ER

PT J
AU Chowdhooree, I
AF Chowdhooree, Imon
TI Indigenous knowledge for enhancing community resilience: An experience
   from the south-western coastal region of Bangladesh
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Indigenous knowledge; Sustainable development; Community resilience and
   tidal river management (TRM)
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK REDUCTION; FLOOD RESILIENCE;
   ISLAND
AB Traditional lifestyle of depending on the natural process, without trying to altering it, is close to the recent idea of sustainability which refers to an attempt to interlink and emulate natural processes with human activities. The Western-Euro-centric notions of science and scientific knowledge and technologies usually open opportunities to control natural processes with infrastructures to maximize economic benefits. Emphasis on short-term economic growth through the option of controlling or altering natural processes may hinder community resilience, referred as ability to resist, adapt with and recover from negative and devastating impacts of any natural process.
   Through employing oral history methodology in a case from Bangladesh, this article investigate the consequences of incorporating Western-Euro-centric scientific knowledge and traditional practices based on indigenous knowledge for managing water resources and resulted impacts on community flood resilience. In this case, to protect the lands from seasonal inundation, structural interventions were implemented and it resulted an environmental disaster, where cultivable lands and settlements got suffered from prolonged drainage congestion and water-logging problem. The problem was resulted due to some donor funded interventions on the river system since sixties with construction of polders/enclosures, utilizing Western-Euro-centric knowledge, which de-linked the floodplain wetlands from rivers. Whereas, indigenous approach of managing the tidal waves with temporary structures was scientifically proved its suitability to make those areas free from drainage congestion and water-logging problem. The article ends with a conclusion that, to get a resilient community, we need to combine the benefits of indigenous knowledge and modern technological solutions.
C1 [Chowdhooree, Imon] BRAC Univ, Dept Architecture, 66 Mohakhali, Dhaka 1212, Bangladesh.
C3 Bangladesh Rural Advancement Committee BRAC; BRAC University
RP Chowdhooree, I (corresponding author), BRAC Univ, Dept Architecture, 66 Mohakhali, Dhaka 1212, Bangladesh.
EM imonch@bracu.ac.bd
RI Chowdhooree, Imon/AFO-1387-2022
OI Chowdhooree, Imon/0000-0003-4884-8257
CR Agrawal A, 2002, INT SOC SCI J, V54, P287, DOI 10.1111/1468-2451.00382
   AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   AIPP, 2012, BRIEFING PAPER
   Al-Roubaie A, 2010, WORLD J SCI TECHNOL, V7, P113, DOI 10.1108/20425945201000008
   Alamgir F., 2010, Contested waters, conflicting livelihoods and water regimes in Bangladesh
   [Anonymous], KHULN JESS DRAIN REH
   [Anonymous], ADB BEG EV CONTR KHU
   [Anonymous], THE DAILY STAR 0920
   [Anonymous], PROTHOM ALO 0430
   [Anonymous], SESS KNOWL CAP GOV D
   [Anonymous], RES AQUA
   [Anonymous], 4 FAO
   [Anonymous], ASUNTOS INDEGINOS
   [Anonymous], INTRO OVERVIEW COMMO
   [Anonymous], 127 WORLD BANK
   [Anonymous], INDIGENOUS SCI KNOWL
   [Anonymous], ENV SOC IMP ASS KJDR
   [Anonymous], MAN US ASS REP
   [Anonymous], PROMOTING COMMUNITY
   [Anonymous], REHABILITATION STORY
   [Anonymous], 1980, Indigenous knowledge systems and development
   [Anonymous], PROJ PERF ASS REP BA
   [Anonymous], WEARING UNCERTAIN
   [Anonymous], 1993, AMBIO
   [Anonymous], DAILY STAR NATL NEWS
   Borrero N., 2013, URBAN REV, V45, P99, DOI [DOI 10.1007/S11256-012-0215-4, 10.1007/s11256-0120215-4, 10.1007/s11256-012-0215-4]
   Briggs J., 2005, Progress in Development Studies, V5, P99, DOI DOI 10.1191/1464993405PS105OA
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Chowdhooree I, 2019, J FLOOD RISK MANAG, V12, DOI 10.1111/jfr3.12478
   Chowdhooree I, 2018, INT J DISASTER RESIL, V9, P153, DOI 10.1108/IJDRBE-12-2016-0056
   Coles E., 2004, AUST J EMERG MANAG, V19, P7
   Compton J.L., 1989, TRANSFORMATION INT A
   Cooper MM, 1997, COLL COMPOS COMMUN, V48, P556, DOI 10.2307/358458
   Dei G. J. S., 1993, Africa Development, V18, P97
   Dewan C, 2015, WATER INT, V40, P401, DOI 10.1080/02508060.2015.1025196
   FAO, 1985, FAOUNDPBGD79015
   Ghimire YN, 2010, INT J SUST DEV WORLD, V17, P225, DOI 10.1080/13504501003737500
   Gunder M, 2006, J PLAN EDUC RES, V26, P208, DOI 10.1177/0739456X06289359
   Hirschheim R., 1985, RES METHODS INFORM S, P13
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hoppers C.A., 2001, PERSPECTIVES ED, V19, P73
   Levina E., 2006, ADAPTATION CLIMATE C
   Magni G, 2017, EUR J EDUC, V52, P437, DOI 10.1111/ejed.12238
   Masten AS., 2002, HDB POSITIVE PSYCHOL, P74, DOI DOI 10.1093/OXFORDHB/9780195187243.013.0012
   McCall M., 1988, Regional Development Dialogue, V9, P41
   Osunade M.A., 1994, MALAYS J TROP GEOGR, V1, P21
   Patton M., 1980, QUALITATIVE RES METH
   Rahman A., 1995, BEEL DAKATIA ENV CON
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Segger MCC, 2015, J FOREST RES-JPN, V20, P430, DOI 10.1007/s10310-015-0498-x
   Slim Hugo., 1995, DEV PRACT, V5, P143, DOI DOI 10.1080/0961452951000157114
   Tanner T, 2008, IDS BULL-I DEV STUD, V39, P6
   Tobin G., 1999, ENVIRON HAZARDS-UK, V1, P13
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Warren D.M., 1992, 1 AFR RES CTR IND KN
NR 55
TC 30
Z9 31
U1 3
U2 63
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 2019
VL 40
AR 101259
DI 10.1016/j.ijdrr.2019.101259
PG 11
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 JA4UM
UT WOS:000487832700018
DA 2025-01-10
ER

PT J
AU Alemayehu, A
   Bewket, W
AF Alemayehu, Arragaw
   Bewket, Woldeamlak
TI Determinants of smallholder farmers' choice of coping and adaptation
   strategies to climate change and variability in the central highlands of
   Ethiopia
SO ENVIRONMENTAL DEVELOPMENT
LA English
DT Article
DE Climate change; Coping and adaptation determinants; Logistic regression;
   North Shewa; Ethiopia
ID VULNERABILITY; RAINFALL; TRENDS
AB This study presents analysis of determinants of smallholder farmers' choice of coping and adaptation strategies to climate change and variability in the central highlands of Ethiopia. A distinction was made between coping and adaptation, as short-term responses to shocks and long-term responses to stressors, respectively. Binary logistic regression modeling was used based on a survey of 200 farmers. Socio-demographic, economic, biophysical, and institutional and infrastructural characteristics of the study setting and sample households were considered to identify key determinants of farmers' choice of coping and adaptation strategies. This is premised on the fact that understanding significant determinants of farmers' choice of coping and adaptation strategies is useful to design impactful adaptation interventions in the locality. The results showed that the significant factors affecting choice of adaptation strategies include perceived soil fertility status, perception of land tenure security, access to extension service, and ages of household heads. For the choice of coping options, agroecological zone, access to markets, farmer-to-farmer extension, landholding size, access to information on climate change, rainfall amount, and educational level of household heads were the significant determinants. Agroecological zone had negative influence to use selling livestock as coping strategy while the other variables had positive influences on farmers' choice of coping and adaptation strategies. Off-farm income, community participation, ownership of livestock and temperature on the other hand had no significant influence on the choice of coping and adaptation strategies to climate change. Adaptation planning for the study locality should take into account the potential influence of these determinant factors into account.
C1 [Alemayehu, Arragaw; Bewket, Woldeamlak] Addis Ababa Univ, Dept Geog & Environm Studies, Addis Ababa, Ethiopia.
C3 Addis Ababa University
RP Alemayehu, A (corresponding author), Addis Ababa Univ, Dept Geog & Environm Studies, Addis Ababa, Ethiopia.
EM aragaw.alemayehu@aau.edu.et; woldeamlak.bewket@aau.edu.et
FU Addis Ababa University; Debre Birhan University
FX We are very grateful to Addis Ababa University and Debre Birhan
   University for their financial assistance to the first author. The paper
   has benefited from useful comments and suggestions by two anonymous
   referees to whom the authors are very grateful.
CR Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Adimassu Z, 2014, ENVIRON DEV, V11, P123, DOI 10.1016/j.envdev.2014.04.004
   Alemayehu A, 2017, LOCAL ENVIRON, V22, P825, DOI 10.1080/13549839.2017.1290058
   Alemayehu A, 2017, GEOGR ANN A, V99, P85, DOI 10.1080/04353676.2017.1289460
   Alemayehu A, 2016, ENVIRON DEV, V19, P36, DOI 10.1016/j.envdev.2016.06.002
   [Anonymous], THESIS
   [Anonymous], 165 CTR CLIM CHAG EC
   [Anonymous], 01032 INT FOOD POL R
   [Anonymous], ANN REP AMH VE UNPUB
   [Anonymous], THESIS
   [Anonymous], 2007, INT FOOD POLICY RES
   [Anonymous], N SHEW ZON WER UNPUB
   [Anonymous], 2009, GLOBAL ENVIRON CHANG, DOI DOI 10.1016/j.gloenvcha.2009.01.002
   [Anonymous], THESIS
   [Anonymous], 2013, Applied Logistic Regression
   [Anonymous], 2013, 53 ESSP
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Atinkut B., 2016, ENV SYST RES, V5, P1, DOI [10.1186/s40068-015-0046-x, DOI 10.1186/S40068-015-0046-X]
   Berman RJ, 2015, CLIM DEV, V7, P71, DOI 10.1080/17565529.2014.902355
   Bewket Woldeamlak, 2012, International Journal of Environmental Studies, V69, P507, DOI 10.1080/00207233.2012.683328
   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
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   CSA, 2013, Population projections for Ethiopia: 2007-2037
   Field A., 2018, Discovering statistics using IBM SPSS statistics, V5
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Gebrehiwot T, 2013, J EAST AFR STUD, V7, P607, DOI 10.1080/17531055.2013.817162
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Opiyo F, 2016, CLIM DEV, V8, P179, DOI 10.1080/17565529.2015.1034231
   Southavilay B., 2012, European Journal of Social Sciences, V28, P502
   Tessema YA., 2013, Agricultural and Food Economics, V1, P1, DOI [10.1186/2193-7532-1-13, DOI 10.1186/2193-7532-1-13]
   Wagesho N, 2013, HYDROLOG SCI J, V58, P354, DOI 10.1080/02626667.2012.754543
   Yesuf M, 2009, AM J AGR ECON, V91, P1022, DOI 10.1111/j.1467-8276.2009.01307.x
NR 34
TC 57
Z9 64
U1 0
U2 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2211-4645
EI 2211-4653
J9 ENVIRON DEV
JI Environ. Dev.
PD DEC
PY 2017
VL 24
BP 77
EP 85
DI 10.1016/j.envdev.2017.06.006
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FP2CP
UT WOS:000417423300007
DA 2025-01-10
ER

PT J
AU Saraswat, C
   Mishra, BK
   Kumar, P
AF Saraswat, Chitresh
   Mishra, Binaya Kumar
   Kumar, Pankaj
TI Integrated urban water management scenario modeling for sustainable
   water governance in Kathmandu Valley, Nepal
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Sustainable development goals; Water security; Climate change
   adaptation; Sustainable water governance; Melamchi Water Supply Project
ID CLIMATE-CHANGE; GROWTH; URBANIZATION; DRIVEN; SOUTH
AB The goal of ensuring water availability and sustainable management of water for all by 2030 is one of the top priorities of the UN-SDGs. The fragile institutional capabilities induce the transitioning towards the sustainable urban water paradigm to accommodate the complexities and uncertainties. This research methodically draws sustainable water management strategies to achieve water security after a critical literature review, trends and policy analysis, and scenario modeling of the study area. First, research systematically illustrated the analysis of unmet water demand and coverage during the study period (2015-2030) and evaluated the impact of external factors such as population growth, living standard, and climate change on the current water system of the Kathmandu Valley. The results showed that future water demand is likely to reach 765 MLD by the year 2030 from the estimated current demand of 388.1 MLD. Also, external factors will increase the pressure on the current water supply-demand systems, and hence exacerbate the water stress but result showed the negligible impact of climate change during the study period. The research explored the significance of "Melamchi Water Supply Project (MWSP)" and found that the effective implementation of MWSP will decrease the unmet water demand by 56-66% in the valley. In the second part, comparative analysis of different management strategies under four future scenarios (optimistic, moderate I and II and business-as-usual) were carried out. The comparative analysis revealed that the proposed optimal management strategy (under optimistic scenario) would lead to achieving 100% of water demand coverage by year 2027.
C1 [Saraswat, Chitresh; Mishra, Binaya Kumar; Kumar, Pankaj] United Nations Univ, Inst Adv Study Sustainabil UNU IAS, Shibuya Ku, Tokyo 1508925, Japan.
C3 United Nations University
RP Kumar, P (corresponding author), United Nations Univ, Inst Adv Study Sustainabil UNU IAS, Shibuya Ku, Tokyo 1508925, Japan.
EM pankajenvsci@gmail.com
RI Saraswat, Chitresh/AAK-6705-2020; Kumar, Pankaj/B-2854-2016
OI Saraswat, Chitresh/0000-0002-7193-9133
FU United Nations University, Institute for the Advanced Study of
   Sustainability, Tokyo
FX This study was supported by the United Nations University, Institute for
   the Advanced Study of Sustainability, Tokyo. The first author, Chitresh
   Saraswat, would like to acknowledge that the research work is part of
   his masters dissertation work, also he would like to thank the officials
   from KUKL, Kathmandu Valley, for providing the required insights used in
   the study.
CR Abrams L, 2009, WATER SCARCITY
   ADB-Asian Development Bank, 2013, 0342NEP ADB
   Akhtar R, 2016, ADV ASIAN HUM-ENV RE, P1, DOI 10.1007/978-3-319-23684-1_1
   Al Radif A, 1999, DESALINATION, V124, P145, DOI 10.1016/S0011-9164(99)00099-5
   Alcamo J, 2007, HYDROLOG SCI J, V52, P247, DOI 10.1623/hysj.52.2.247
   [Anonymous], COOPERATION WATER WI
   [Anonymous], URBAN RETROFITTING S
   [Anonymous], 2011, National population and housing census
   [Anonymous], 2007, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
   Bao C, 2015, SUSTAINABILITY-BASEL, V7, P16076, DOI 10.3390/su71215803
   Bhattarai M., 2005, NEPAL WATER POLICY, V7, P163
   Bhave AG, 2016, WATER RESOUR MANAG, V30, P1001, DOI 10.1007/s11269-015-1207-4
   Burn S, 2012, WATER SCI TECHNOL, V66, P113, DOI 10.2166/wst.2012.071
   CBS, 2014, NAT POP HOUS CENS 20
   CIAMP, 2010, PROP CAP INV PLAN 20, V1, P1
   Conway G., 2009, SCI CLIMATE CHANGE A
   Droogers P, 2008, HYDROL EARTH SYST SC, V12, P669, DOI 10.5194/hess-12-669-2008
   Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741
   Grigg NS, 1997, J URBAN PLAN D-ASCE, V123, P23, DOI 10.1061/(ASCE)0733-9488(1997)123:2(23)
   Hack J, 2013, THESIS, P225
   Haddeland I, 2014, P NATL ACAD SCI USA, V111, P3251, DOI 10.1073/pnas.1222475110
   Hamlat A, 2013, ARAB J GEOSCI, V6, P2225, DOI 10.1007/s12517-012-0539-0
   Hanemann WM, 2006, WATER CRISIS: MYTH OR REALITY?, P61
   Harlin J., 2015, Water for Development Charting A Water Wise Path, SIWI Report, V35, P8
   Hellström D, 2000, ENVIRON IMPACT ASSES, V20, P311, DOI 10.1016/S0195-9255(00)00043-3
   HMGN/MFSC, 2002, NEP BIOD STRAT
   Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688
   ICIMOD, 2014, ANN REP 2013
   Immerzeel WW, 2008, J HYDROL, V349, P411, DOI 10.1016/j.jhydrol.2007.11.017
   Ingol-Blanco E, 2009, WORLD ENV WAT RES C, P1
   IUCN Nepal, 2013, IUCN NEP PROGR FRAM
   Jha P. K., 2012, WIT T ECOLOGY ENV, V155, P563
   Jha PK, 2013, NEPAL J FOREST LIVEL, V11, P62
   KUKL, 2015, 8 ANN REP
   KVDA, 2014, 20 YEARS ST IN PRESS
   KVDA, 2015, 20 YEARS ST IN PRESS
   Lévite H, 2003, PHYS CHEM EARTH, V28, P779, DOI 10.1016/j.pce.2003.08.025
   McCartney M. P, 2007, EVALUATION HIST CURR, V118
   Mitchell VG, 2006, ENVIRON MANAGE, V37, P589, DOI 10.1007/s00267-004-0252-1
   Mohanty A., 2011, J INSTIT ENG, V8, P126, DOI [10.3126/jie.v8i1-2.5103, DOI 10.3126/JIE.V8I1-2.5103]
   Mounir Z. M., 2011, Modern Applied Science, V5, P38
   Null SE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009932
   O'Connor TP, 2010, WATER RESOUR, V457, P2149
   Pandey VP, 2013, APPL WATER SCI, V3, P453, DOI 10.1007/s13201-013-0094-1
   Pant P R., 2009, Kathmandu Valley Profile, Briefing Paper
   Portnov BA, 2007, URBAN STUD, V44, P915, DOI 10.1080/00420980701258118
   Protopapas AL, 2000, J HYDROL ENG, V5, P332, DOI 10.1061/(ASCE)1084-0699(2000)5:3(332)
   Ragab R., 2013, Water Governance in the Arab Region: Managing Scarcity and Securing the future
   Renzetti S, 2000, EMPIRICAL PERSPECTIV
   Saraswat C, 2016, ENVIRON SCI POLICY, V64, P101, DOI 10.1016/j.envsci.2016.06.018
   SEI, 2015, WEAP WAT EV PLANN SY
   SEI, 2011, WEAP WAT EV PLANN SY
   Shrestha S, 2017, THEOR APPL CLIMATOL, V128, P311, DOI 10.1007/s00704-015-1713-6
   Subedi P., 2013, APPL ECOL ENV SCI, V1, P126, DOI [DOI 10.12691/AEES-1-6-5, 10.12691/aees-1-6-5]
   Vairavamoorthy K, 2008, PHYS CHEM EARTH, V33, P330, DOI 10.1016/j.pce.2008.02.008
   Water UN, 2015, WAT SUST WORLD
   WEAP, 2015, WAT EV PLANN HIST CR
   WEAP, 2014, WAT EV PLANN HIST CR
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
   Yoden K., 2012, Kathmandu Valley Groundwater Outlook, P77
NR 60
TC 30
Z9 33
U1 0
U2 32
PU SPRINGER JAPAN KK
PI TOKYO
PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065,
   JAPAN
SN 1862-4065
EI 1862-4057
J9 SUSTAIN SCI
JI Sustain. Sci.
PD NOV
PY 2017
VL 12
IS 6
BP 1037
EP 1053
DI 10.1007/s11625-017-0471-z
PG 17
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FM8JB
UT WOS:000415331600020
DA 2025-01-10
ER

PT J
AU Singh, S
   Ghosh, S
   Sahana, AS
   Vittal, H
   Karmakar, S
AF Singh, Swati
   Ghosh, Subimal
   Sahana, A. S.
   Vittal, H.
   Karmakar, Subhankar
TI Do dynamic regional models add value to the global model projections of
   Indian monsoon?
SO CLIMATE DYNAMICS
LA English
DT Article
DE Regional models; CORDEX; Added value; Evaluation; Indian monsoon
ID SUMMER MONSOON; CLIMATE-CHANGE; ERA-INTERIM; OBJECTIVE DEFINITION;
   VARIABILITY; RAINFALL; SIMULATIONS; EXTREMES; IMPACTS; TREND
AB Dynamic Regional Climate Models (RCMs) work at fine resolution for a limited region and hence they are presumed to simulate regional climate better than General Circulation Models (GCMs). Simulations by RCMs are used for impacts assessment, often without any evaluation. There is a growing debate on the added value made by the regional models to the projections of GCMs specifically for the regions like, United States and Europe. Evaluation of RCMs for Indian Summer Monsoon Rainfall (ISMR) has been overlooked in literature, though there are few disjoint studies on Indian monsoon extremes and biases. Here we present a comprehensive study on the evaluations of RCMs for the ISMR with all its important characteristics such as northward and eastward propagation, onset, seasonal rainfall patterns, intra-seasonal oscillations, spatial variability and patterns of extremes. We evaluate nine regional simulations from Coordinated Regional Climate Downscaling Experiment and compare them with their host Coupled Model Intercomparison Project-5 GCM projections. We do not find any consistent improvement in the RCM simulations with respect to their host GCMs for any of the characteristics of Indian monsoon except the spatial variation. We also find that the simulations of the ISMR characteristics by a good number of RCMs, are worse than those of their host GCMs. No consistent added value is observed in the RCM simulations of changes in ISMR characteristics over recent periods, compared to past; though there are few exceptions. These results highlight the need for proper evaluation before utilizing regional models for impacts assessment and subsequent policy making for sustainable climate change adaptation.
C1 [Singh, Swati; Ghosh, Subimal; Karmakar, Subhankar] Indian Inst Technol, Interdisciplinary Program Climate Studies, Bombay 400076, Maharashtra, India.
   [Ghosh, Subimal; Sahana, A. S.] Indian Inst Technol, Dept Civil Engn, Bombay 400076, Maharashtra, India.
   [Vittal, H.; Karmakar, Subhankar] Indian Inst Technol, Ctr Environm Sci & Engn, Bombay 400076, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Bombay; Indian Institute
   of Technology System (IIT System); Indian Institute of Technology (IIT)
   - Bombay
RP Ghosh, S (corresponding author), Indian Inst Technol, Interdisciplinary Program Climate Studies, Bombay 400076, Maharashtra, India.; Ghosh, S (corresponding author), Indian Inst Technol, Dept Civil Engn, Bombay 400076, Maharashtra, India.
EM subimal@civil.iitb.ac.in
RI Ghosh, Subimal/E-8247-2010; Hari, Vittal/AAS-4759-2020
OI A S, Sahana/0000-0002-7688-686X; , Abdul saheer/0000-0003-0057-6045;
   Hari, Vittal/0000-0001-8754-0488; Singh, Swati/0000-0002-9950-7076
FU Climate Studies, IIT Bombay [11DST078]
FX Authors sincerely acknowledge Department of Science and Technology,
   Government of India and Climate Studies, IIT Bombay for providing
   assistance through project 11DST078. Authors acknowledge the World
   Climate Research Programme's Working Group on Coupled Modelling, which
   is responsible for CMIP5 and climate modeling groups for producing and
   making available their model outputs. Authors acknowledge the Centre for
   Climate Change Research (CCCR-IITM) for RegCM4 and partner institutions
   (Institute for Atmospheric and Environmental Sciences (IAES), Germany
   for COSMO-CLM; Rossby Centre, Swedish Meteorological and Hydrological
   Institute (SMHI), Sweden for RCA4; Commonwealth Scientific and
   Industrial Research Organisation (CSIRO) for CCAM) for generating and
   disseminating the CORDEX South Asia multi-model dataset. Authors
   acknowledge Dr. J Sanjay, Dr. R Krishnan and Dr. Milind Mujumdar for
   providing their assistance in downloading CORDEX data. The first two
   authors acknowledge Dr. Sabeerali C T from Indian Institute of Tropical
   Meteorology for assistance in simulating northward and eastward
   propagation of intraseasonal variations. The authors sincerely thank
   Prof. Raghu Murtugudde of University of Maryland for his constructive
   suggestions and comments. The authors sincerely thank Mr. Marcus
   Thatcher of CSIRO Oceans and Atmosphere for providing information of
   physical parameterization schemes used in CCAM model.
CR Ali S, 2015, ADV ATMOS SCI, V32, P715, DOI 10.1007/s00376-014-4158-4
   Annamalai H, 2013, J CLIMATE, V26, P2701, DOI 10.1175/JCLI-D-12-00208.1
   Annamalai H, 2001, CLIM DYNAM, V18, P85, DOI 10.1007/s003820100161
   [Anonymous], 1968, P 1968 23 ACM NAT C, DOI DOI 10.1145/800186.810616
   [Anonymous], 2001, INTRO STAT MODELING
   Berg P, 2013, GEOSCI MODEL DEV, V6, P849, DOI 10.5194/gmd-6-849-2013
   Bhatla R., 2015, INT J EART ATMOS SCI, V2, P109
   Blanford HF, 1886, MEM IND MET DEPT, P2217
   Boberg F, 2012, NAT CLIM CHANGE, V2, P433, DOI 10.1038/NCLIMATE1454
   Boilley A, 2015, RENEW ENERG, V75, P135, DOI 10.1016/j.renene.2014.09.042
   Bowman A.W., 1997, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations
   Davin EL, 2011, CLIM DYNAM, V37, P1889, DOI 10.1007/s00382-011-1019-z
   Davis N, 2009, J CLIMATE, V22, P3595, DOI 10.1175/2009JCLI2388.1
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Dugam SS, 1997, THEOR APPL CLIMATOL, V58, P21, DOI 10.1007/BF00867429
   Ebita A, 2009, 5 WHO S DAT ASS MELB, P1
   Elguindi N, 2010, USERS GUIDE WORLD WI, P1
   EMANUEL KA, 1991, J ATMOS SCI, V48, P2313, DOI 10.1175/1520-0469(1991)048<2313:ASFRCC>2.0.CO;2
   Fasullo J, 2003, J CLIMATE, V16, P3200, DOI 10.1175/1520-0442(2003)016<3200a:AHDOIM>2.0.CO;2
   Feser F, 2011, B AM METEOROL SOC, V92, P1181, DOI 10.1175/2011BAMS3061.1
   Gadgil S, 2006, ECON POLIT WEEKLY, V41, P4487
   Gadgil S., 2006, ASIAN MONSOON, P651, DOI [10.1007/3-540-37722-0_18, DOI 10.1007/3-540-37722-0_18]
   Ghosh S, 2012, NAT CLIM CHANGE, V2, P86, DOI 10.1038/NCLIMATE1327
   Ghosh S, 2009, ATMOS SCI LETT, V10, P285, DOI 10.1002/asl.235
   Glotter M, 2014, P NATL ACAD SCI USA, V111, P8776, DOI 10.1073/pnas.1314787111
   Goswami BN, 2005, S-P B ENVIRON SCI, P19, DOI 10.1007/3-540-27250-X_2
   Goswami BN, 2006, SCIENCE, V314, P1442, DOI 10.1126/science.1132027
   Goswami BN, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024803
   Goswami BN, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023216
   GRELL GA, 1993, MON WEATHER REV, V121, P764, DOI 10.1175/1520-0493(1993)121<0764:PEOAUB>2.0.CO;2
   HAHN DG, 1976, J ATMOS SCI, V33, P2461, DOI 10.1175/1520-0469(1976)033<2461:AARBES>2.0.CO;2
   Harada Y, 2013, JAPANESE 55 YEAR REA
   Hassan M, 2015, ATMOSPHERE-BASEL, V6, P1833, DOI 10.3390/atmos6111833
   Ji ZM, 2011, CLIM DYNAM, V36, P1633, DOI 10.1007/s00382-010-0982-0
   Katz RW, 2005, ECOLOGY, V86, P1124, DOI 10.1890/04-0606
   Kharin VV, 2005, J CLIMATE, V18, P1156, DOI 10.1175/JCLI3320.1
   Kodra E, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014012
   KRISHNAMURTI TN, 1985, MON WEATHER REV, V113, P1590, DOI 10.1175/1520-0493(1985)113<1590:SMER>2.0.CO;2
   Kumar V, 2005, CURR SCI INDIA, V88, P602
   Laprise R, 2014, J GEOPHYS RES-ATMOS, V119, P3877, DOI 10.1002/2013JD019945
   Mcgregor J, 2006, ATMOS RES
   Mishra V, 2015, J GEOPHYS RES-ATMOS, V120, P2689, DOI 10.1002/2014JD022650
   Mishra V, 2014, J GEOPHYS RES-ATMOS, V119, P9301, DOI 10.1002/2014JD021636
   MOOLEY DA, 1983, PURE APPL GEOPHYS, V121, P339, DOI 10.1007/BF02590143
   Mooney PA, 2011, INT J CLIMATOL, V31, P545, DOI 10.1002/joc.2098
   Nguyen KC, 2014, CLIM DYNAM, V43, P861, DOI 10.1007/s00382-013-1976-5
   Oleson KW, 2008, J GEOPHYS RES-BIOGEO, V113, DOI 10.1029/2007JG000563
   Pathak A, 2014, J HYDROMETEOROL, V15, P2050, DOI 10.1175/JHM-D-13-0172.1
   Racherla PN, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018091
   Rajeevan M, 2006, CURR SCI INDIA, V91, P296
   Rajeevan M, 2010, J EARTH SYST SCI, V119, P229, DOI 10.1007/s12040-010-0019-4
   Rajeevan M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035143
   Rao SA, 2012, CLIMATIC CHANGE, V110, P709, DOI 10.1007/s10584-011-0121-x
   Rao SA, 2010, J CLIMATE, V23, P5163, DOI 10.1175/2010JCLI3257.1
   Reboita MS, 2014, CLIM RES, V60, P215, DOI 10.3354/cr01239
   Rienecker MM, 2011, J CLIMATE, V24, P3624, DOI 10.1175/JCLI-D-11-00015.1
   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
   Sabeerali CT, 2015, CLIM DYNAM, V45, P161, DOI 10.1007/s00382-014-2269-3
   Sabeerali CT, 2013, J GEOPHYS RES-ATMOS, V118, P4401, DOI 10.1002/jgrd.50403
   Saha A, 2014, GEOPHYS RES LETT, V41, P7323, DOI 10.1002/2014GL061573
   Saha SK, 2011, CLIM DYNAM, V36, P2077, DOI 10.1007/s00382-010-0886-z
   Sahana AS, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054006
   Salvi K, 2016, CLIM DYNAM, V46, P1991, DOI 10.1007/s00382-015-2688-9
   Salvi K, 2013, J GEOPHYS RES-ATMOS, V118, P3557, DOI 10.1002/jgrd.50280
   Samuelsson P, 2011, TELLUS A, V63, P4, DOI 10.1111/j.1600-0870.2010.00478.x
   Schmidt GA, 2006, J CLIMATE, V19, P153, DOI 10.1175/JCLI3612.1
   Sellers PJ, 1997, SCIENCE, V275, P502, DOI 10.1126/science.275.5299.502
   Sharmila S, 2015, GLOBAL PLANET CHANGE, V124, P62, DOI 10.1016/j.gloplacha.2014.11.004
   Shindell D, 2014, J GEOPHYS RES-ATMOS, V119, P3882, DOI 10.1002/2013JD020732
   Singh D, 2014, NAT CLIM CHANGE, V4, P456, DOI [10.1038/NCLIMATE2208, 10.1038/nclimate2208]
   Sperber K, 2013, CLIM DYNAM, V41, P2711, DOI 10.1007/s00382-012-1607-6
   Tiwari PR, 2016, PURE APPL GEOPHYS, V173, P657, DOI 10.1007/s00024-015-1102-1
   Torma C, 2015, J GEOPHYS RES-ATMOS, V120, P3957, DOI 10.1002/2014JD022781
   Turner AG, 2012, NAT CLIM CHANGE, V2, P587, DOI 10.1038/NCLIMATE1495
   Vittal H, 2013, GEOPHYS RES LETT, V40, P3253, DOI 10.1002/grl.50631
   Wang B, 2009, J CLIMATE, V22, P3303, DOI 10.1175/2008JCLI2675.1
   Xavier PK, 2007, Q J ROY METEOR SOC, V133, P749, DOI 10.1002/qj.45
NR 78
TC 86
Z9 86
U1 0
U2 12
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD FEB
PY 2017
VL 48
IS 3-4
BP 1375
EP 1397
DI 10.1007/s00382-016-3147-y
PG 23
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA EK8CC
UT WOS:000394150500037
DA 2025-01-10
ER

PT J
AU Pramanik, MK
   Biswas, SS
   Mondal, B
   Pal, R
AF Pramanik, Malay Kumar
   Biswas, Sumantra Sarathi
   Mondal, Biswajit
   Pal, Raghunath
TI Coastal vulnerability assessment of the predicted sea level rise in the
   coastal zone of Krishna-Godavari delta region, Andhra Pradesh, east
   coast of India
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Coastal vulnerability index; Krishna-Godavari delta; Sea level rise;
   Coastal geomorphology; Significant wave height
ID INDEX; PELOPONNESE; IMPACT; GULF
AB The Krishna-Godavari coastal region in east coast of India has a 525.15-km-long coastline with low-lying tidal mudflats, beaches, mangrove swamp, creek and tidal channels. Recently, the increasing frequency of tropical cyclones in the Bay of Bengal, i.e., Phylin and Hudhud in Andhra Pradesh coast, and the devastating impact of the 2004 tsunami in India increased the significance in assessing the vulnerability of the coastal lands to inundation and flooding, notably in the context of climate change-induced sea level rise. This study aims to estimate a coastal vulnerability index (CVI) for the coastal subregion of Krishna-Godavari delta and to use the calculated index to evaluate the vulnerability of 14 coastal talukas of the Krishna-Godavari delta region. This CVI is calculated by using four geological and three physical parameters characterizing the vulnerability of the study coastal region, including regional slope, coastal elevation, geomorphology, significant wave height, mean tidal range and relative sea level using different conventional and remotely sensed data. Using a composite coastal vulnerability index based on the relative risk rating of those parameters, each of the 14 coastal talukas was classified according to their vulnerability. The CVI results depict that coasts are least and most vulnerable to inundation, flooding and erosion of coastal lands where geological parameters are more efficient to CVI. The paper alerts to decision makers and planners to mitigate the natural disaster and manage the coastal zone and is a primary step toward prioritizing coastal lands for climate change adaptation strategies in the view of increased storminess and projected sea level rise.
C1 [Pramanik, Malay Kumar] Jawaharlal Nehru Univ, Ctr Int Polit Org & Disarmament, New Delhi 110067, India.
   [Biswas, Sumantra Sarathi; Mondal, Biswajit; Pal, Raghunath] Jawaharlal Nehru Univ, Ctr Study Reg Dev, New Delhi 110067, India.
C3 Jawaharlal Nehru University, New Delhi; Jawaharlal Nehru University, New
   Delhi
RP Pramanik, MK (corresponding author), Jawaharlal Nehru Univ, Ctr Int Polit Org & Disarmament, New Delhi 110067, India.
EM malaygeo@gmail.com
RI Pramanik, Malay/AAU-1085-2021; Pal, Raghunath/AAW-6911-2021; BISWAS,
   SUMANTRA SARATHI/AAZ-1763-2020; Mondal, Biswajit/X-8269-2018
OI Pramanik, Malay/0000-0002-7085-1236; Pal, Raghunath/0000-0003-1926-6792;
   BISWAS, SUMANTRA SARATHI/0000-0002-0069-1361; Mondal,
   Biswajit/0000-0002-6624-8581
CR Addo KA, 2013, J COASTAL RES, P1892, DOI 10.2112/SI65-320.1
   [Anonymous], 1994, J. Coast Res.
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Capobianco M, 1999, J COASTAL RES, V15, P701
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Chaudhuri S, 2013, NAT HAZARDS, V65, P97, DOI 10.1007/s11069-012-0346-7
   Church JA, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P639
   Clavano W. R., 2012, SOCIAL SCI Q, V84, P242
   Das S, 2012, NAT HAZARDS, V64, P531, DOI 10.1007/s11069-012-0255-9
   Di Paola G, 2011, J COASTAL RES, P303
   Diez PG, 2007, J COASTAL RES, V23, P119, DOI 10.2112/04-0205.1
   Doukakis E., 2005, European Water, V11/12, P3
   Dwarakish GS, 2009, OCEAN COAST MANAGE, V52, P467, DOI 10.1016/j.ocecoaman.2009.07.007
   Dwarakish GS, 2008, J APPL REMOTE SENS, V2, DOI 10.1117/1.2919101
   Evan AT, 2011, J CLIMATE, V24, P140, DOI 10.1175/2010JCLI3611.1
   [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
   Gaki-Papanastassiou Kalliopi, 2010, Hellenic Journal of Geosciences, V45, P109
   Gilman EL, 2006, CLIM RES, V32, P161, DOI 10.3354/cr032161
   GORNITZ V, 1991, GLOBAL PLANET CHANGE, V89, P379, DOI 10.1016/0921-8181(91)90118-G
   Gorokhovich Y, 2014, J COASTAL RES, V30, P158, DOI 10.2112/JCOASTRES-D-13-00001.1
   Gupta S. K., 2006, Leading Edge, V25, P830, DOI 10.1190/1.2221360
   Hahn MB, 2009, GLOBAL ENVIRON CHANG, V19, P74, DOI 10.1016/j.gloenvcha.2008.11.002
   Hegde AV, 2007, J COASTAL RES, V23, P1106, DOI 10.2112/04-0259.1
   Hegerl GC, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P663
   Joevivek V., 2013, J EARTH SCI CLIMATIC, V4
   Karymbalis E, 2012, CENT EUR J GEOSCI, V4, P561, DOI 10.2478/s13533-012-0101-3
   Kumar AA, 2012, NAT HAZARDS, V64, P853, DOI 10.1007/s11069-012-0276-4
   Kumar TS, 2010, J COASTAL RES, V26, P523, DOI 10.2112/09-1186.1
   Kunte PD, 2014, OCEAN COAST MANAGE, V95, P264, DOI 10.1016/j.ocecoaman.2014.04.024
   Mahapatra R., 2010, COASTAL REFUGEES
   Mahendra RS, 2011, OCEAN COAST MANAGE, V54, P302, DOI 10.1016/j.ocecoaman.2010.12.008
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Mujabar PS, 2013, NAT HAZARDS, V69, P1295, DOI 10.1007/s11069-011-9962-x
   Murty TS, 1996, LAND BASED MARINE HA, P97
   Nayak G. N., 2005, ENCY EARTH SCI, V7, P555
   Özyurt G, 2009, J COASTAL RES, P248
   Özyurt G, 2010, J COASTAL RES, V26, P265, DOI 10.2112/08-1055.1
   Pendleton ElizabethA. E., 2005, COASTAL VULNERABILIT
   Rao GN, 2001, AAPG BULL, V85, P1623
   Rao K. Nageswara, 2008, Journal of Coastal Conservation, V12, P195, DOI 10.1007/s11852-009-0042-2
   RAO KR, 1993, CULTIVATING CONSCIOUSNESS, P1
   Rao M. S, 1990, SOME ASPECTS MORPHOL, P279
   Sindhu B, 2012, NAT HAZARDS, V61, P1007, DOI 10.1007/s11069-011-9948-8
   Small C, 2003, J COASTAL RES, V19, P584
   Snoussi M, 2008, ESTUAR COAST SHELF S, V77, P206, DOI 10.1016/j.ecss.2007.09.024
   Sterr H, 2003, FEEM SER ECON ENVIR, P245
   Thieler E.R., 2000, NATL ASSESSMENT COAS
   Thieler E.R., 1999, U.S. Atlantic Coast: U.S, Geological Survey Open-File Report 99-593, P1
   Unnikrishnan AS, 2007, GLOBAL PLANET CHANGE, V57, P301, DOI 10.1016/j.gloplacha.2006.11.029
   Unnikrishnan A. S., 2004, EXTREME SEA LEVEL VA
   Yin J, 2012, J COAST CONSERV, V16, P123, DOI 10.1007/s11852-012-0180-9
NR 51
TC 49
Z9 50
U1 1
U2 63
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 DEC
PY 2016
VL 18
IS 6
BP 1635
EP 1655
DI 10.1007/s10668-015-9708-0
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA EB3PT
UT WOS:000387278500007
DA 2025-01-10
ER

PT J
AU Hannah, L
   Costello, C
   Guo, C
   Ries, L
   Kolstad, C
   Panitz, D
   Snider, N
AF Hannah, L.
   Costello, C.
   Guo, C.
   Ries, L.
   Kolstad, C.
   Panitz, D.
   Snider, N.
TI The impact of climate change on California timberlands
SO CLIMATIC CHANGE
LA English
DT Article
ID FOREST PRODUCTIVITY; GLOBAL CHANGE; MODEL; RADIATION; GROWTH; OREGON;
   RANGE; 3-PG
AB California timber production has been declining in an era of warming, increased wildfires, land conversion, and growing emphasis on recreation. Climate change has the potential to further affect California timber production through changes in individual tree growth rates, forest dieback, and shifts in species ranges and ecosystem composition. Coupled with changes in global timber prices, themselves the result of productivity effects, these production impacts hold important consequences for California's private timberlands. This study uses models that project tree species productivity and movement across the landscape under climate change, coupled with economic models of landowner adaptation and returns from multiple harvest strategies. Our results show that under likely price scenarios, climate change will result in an overall decline in harvested timber value relative to no climate change, with decreases of 4.9 to 8.5% by the end of the century. The magnitude of decrease depends on climate change scenario, price scenario and management option - with dollar losses totaling up to $8.1 billion in total land value (-$2.7 billion given a 4% discount rate). There is substantial spatial variation in these changes; most areas show significant declines in timber value while some show modest increases relative to a no climate change baseline. If prices are not affected by climate change, more areas experience gains in value. We find that forestry management strategies can mitigate lost value, indicating that climate change adaptation programs can yield important economic benefits. Declining timber value corresponds disproportionately to areas already experiencing timberland conversion to housing or agriculture. Policy measures to stem conversion of devalued timberlands may warrant consideration.
C1 [Hannah, L.; Costello, C.; Guo, C.; Ries, L.; Kolstad, C.; Panitz, D.; Snider, N.] Univ Calif Santa Barbara, Santa Barbara, CA 93106 USA.
   [Hannah, L.] Conservat Int, Arlington, VA USA.
C3 University of California System; University of California Santa Barbara;
   Conservation International
RP Hannah, L (corresponding author), Univ Calif Santa Barbara, 2400 Bren Hall, Santa Barbara, CA 93106 USA.
EM lhannah@conservation.org
FU NSF
FX C. Guo was supported by the ConvEne IGERT program of NSF.
CR Alig R., 1997, Environmental and Resource Economics, V9, P259, DOI 10.1023/A:1026409105660
   Busing RT, 2005, PLANT ECOL, V177, P177, DOI 10.1007/s11258-005-2322-8
   California State Board of Equalization, 2010, CAL TIMB HARV STAT
   Callaway J.M., 1994, The economic effects of climate change for U.S. forests
   Coops NC, 2000, INT J BIOMETEOROL, V44, P204, DOI 10.1007/s004840000073
   Coops NC, 2001, GLOBAL CHANGE BIOL, V7, P15, DOI 10.1046/j.1365-2486.2001.00385.x
   Joyce L, 2001, POTENTIAL CONSEQUENC
   Joyce LA, 1995, J BIOGEOGR, V22, P703, DOI 10.2307/2845973
   Koch GW, 2004, NATURE, V428, P851, DOI 10.1038/nature02417
   Landsberg JJ, 1997, FOREST ECOL MANAG, V95, P209, DOI 10.1016/S0378-1127(97)00026-1
   Landsberg JJ, 2003, FOREST ECOL MANAG, V172, P199, DOI 10.1016/S0378-1127(01)00804-0
   Law BE, 2000, GLOBAL CHANGE BIOL, V6, P155, DOI 10.1046/j.1365-2486.2000.00291.x
   Li BL, 2000, ECOL MODEL, V132, P167, DOI 10.1016/S0304-3800(00)00313-6
   Perez-Garcia J., 1997, Reviews in Environmental Science and Technology
   SANDS PJ, 2001, 29 CRC SUST PROD FOR
   Smith JB, 2007, NEW HORIZ ENVIRON EC, P1
   Sohngen B, 2003, AM J AGR ECON, V85, P448, DOI 10.1111/1467-8276.00133
   Sohngen B, 2001, J AGR RESOUR ECON, V26, P326
   Spero J., 2006, California timber yield tax volume and value trends: Historical boe timber harvest data by species, county, ownership
   State Board of Equalization, 2007, HARV VAL SCHED EFF J
   Swenson JJ, 2005, CAN J FOREST RES, V35, P1697, DOI 10.1139/x05-089
   Thuiller W, 2003, GLOBAL CHANGE BIOL, V9, P1353, DOI 10.1046/j.1365-2486.2003.00666.x
   van Kooten C, 1995, AM J AGR ECON, V77, P365
NR 23
TC 10
Z9 11
U1 1
U2 39
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
J9 CLIMATIC CHANGE
JI Clim. Change
PD DEC
PY 2011
VL 109
SU 1
SI SI
BP 429
EP 443
DI 10.1007/s10584-011-0307-2
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 871SF
UT WOS:000298757300022
DA 2025-01-10
ER

PT J
AU Iglesias, A
   Garrote, L
   Diz, A
   Schlickenrieder, J
   Martin-Carrasco, F
AF Iglesias, Ana
   Garrote, Luis
   Diz, Agustin
   Schlickenrieder, Jeremy
   Martin-Carrasco, Francisco
TI Re-thinking water policy priorities in the Mediterranean region in view
   of climate change
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Mediterranean; Climate change; Water policy; Adaptation and assessment
ID RESOURCES; PROJECTIONS; AVAILABILITY; SCARCITY; IMPACTS
AB Water is scarce in Mediterranean countries: cities are crowded with increasing demand; food is produced with large amounts of water; ecosystems demand more water that is often available; drought affects all. As climate change impacts become more noticeable and costlier, some current water management strategies will not be useful. According to the findings of CIRCE, the areas with limited water resources will increase in the coming decades with major consequences for the way we produce food and we protect ecosystems. Based on these projections this paper discusses water policy priorities for climate change adaptation in the Mediterranean. We first summarise the main challenges to water resources in Mediterranean countries and outline the risks and opportunities for water under climate change based on previous studies. Recognising the difficulty to go from precipitation to water policy, we then present a framework to evaluate water availability in response to natural and management conditions, with an example of application in the Ebro basin that exemplifies other Mediterranean areas. Then we evaluate adaptive capacity to understand the ability of Mediterranean countries to face, respond and recover from climate change impacts on water resources. Social and economic factors are key drivers of inequality in the adaptive capacity across the region. Based on the assessment of impacts and adaptive capacity we suggest thresholds for water policy to respond to climate change and link water scarcity indicators to relevant potential adaptation strategies. Our results suggest the need to further prioritise socially and economically sensitive policies. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Iglesias, Ana; Diz, Agustin; Schlickenrieder, Jeremy] Univ Politecn Madrid, Dept Agr Econ & Social Sci, E-28040 Madrid, Spain.
   [Garrote, Luis; Martin-Carrasco, Francisco] Univ Politecn Madrid, Dept Hydraul & Energy Engn, E-28040 Madrid, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid
RP Iglesias, A (corresponding author), Univ Politecn Madrid, Dept Agr Econ & Social Sci, E-28040 Madrid, Spain.
EM ana.iglesias@upm.es
RI Iglesias, Ana/AEN-3261-2022; Garrote, Luis/B-5925-2013
OI Martin-Carrasco, Francisco J./0000-0001-6960-293X; Diz,
   Agustin/0000-0003-1643-2652; Garrote, Luis/0000-0001-9087-3638
CR Alcamo J, 2007, HYDROLOG SCI J, V52, P247, DOI 10.1623/hysj.52.2.247
   Alpert P., 2011, REGIONAL ASSESSMEN 2
   Anita W., 2010, Climate change and agriculture impacts, adaptation and Mitigation: Impacts, adaptation and Mitigation
   Arnell NW, 2004, GLOBAL ENVIRON CHANG, V14, P31, DOI 10.1016/j.gloenvcha.2003.10.006
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Blanco-Canqui H., 2010, CLIMATE CHANGE SOIL
   Christensen J.H., 2007, CLIMATIC CHANGE, V81, P3
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   Columbia University, 2005, GRIDD POP WORLD VERS
   Copetti D., 2010, REGIONAL ASSESSMEN 2
   *EUR ENV AG, 2007, 22007 EEA
   *EUR ENV AG, 2008, 4 EEA
   European Environment Agency, 2009, 22009  EEA
   FAO, 2008, AQUASTAT DAT COLL
   Fronzek S, 2007, CLIMATIC CHANGE, V81, P357, DOI 10.1007/s10584-006-9214-3
   Giorgi F, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2006GL025734
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gleick P., 2010, P NAT AC SCI
   Hamner J.H., 1998, COLORADO J INT ENV L
   Hering D, 2010, SCI TOTAL ENVIRON, V408, P4007, DOI 10.1016/j.scitotenv.2010.05.031
   Hoff H., 2010, REGIONAL ASSESSMEN 3
   Huntjens P, 2010, REG ENVIRON CHANGE, V10, P263, DOI 10.1007/s10113-009-0108-6
   Iglesias A, 2009, ADV NAT TECH HAZ RES, V26, P1, DOI 10.1007/978-1-4020-9045-5
   Iglesias A., 2010, REGIONAL ENV CHANGE, V11, P1
   Iglesias A., 2007, KEY VULNERABLE REGIO
   Iglesias A, 2009, POLICY STRATEGIC BEH
   Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6
   International Commission on Large Dams (ICOLD), 2023, World Register of Dams
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   Kallis G, 2009, ENVIRON SCI POLICY, V12, P631, DOI 10.1016/j.envsci.2009.07.002
   Martin-Carrasco FJ, 2007, NATO SCI S SS IV EAR, V78, P301
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Plan Bleu, 2010, EC EV WAT DEM MAN ME
   Quevauviller P, 2005, ENVIRON SCI POLICY, V8, P203, DOI 10.1016/j.envsci.2005.02.003
   Quiroga S, 2011, NAT HAZARD EARTH SYS, V11, P643, DOI 10.5194/nhess-11-643-2011
   Quiroga S, 2011, HYDROL EARTH SYST SC, V15, P505, DOI 10.5194/hess-15-505-2011
   Raskin P., 1997, UN COMM SUST DEV 5 S
   Rosenzweig C, 2004, GLOBAL ENVIRON CHANG, V14, P345, DOI 10.1016/j.gloenvcha.2004.09.003
   Rossi G, 2009, WATER INT, V34, P441, DOI 10.1080/02508060903374418
   Videira N., 2006, European Environment, V16, P19, DOI 10.1002/eet.401
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Yang H, 2002, WORLD DEV, V30, P1413, DOI 10.1016/S0305-750X(02)00047-5
   YOHE G, 2006, INTEGRATED ASSESSMEN, V0006
NR 43
TC 80
Z9 86
U1 2
U2 51
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 2011
VL 14
IS 7
SI SI
BP 744
EP 757
DI 10.1016/j.envsci.2011.02.007
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 830LM
UT WOS:000295658500005
OA Green Accepted
DA 2025-01-10
ER

PT J
AU McCarty, JL
   Aalto, J
   Paunu, VV
   Arnold, SR
   Eckhardt, S
   Klimont, Z
   Fain, JJ
   Evangeliou, N
   Venäläinen, A
   Tchebakova, NM
   Parfenova, E
   Kupiainen, K
   Soja, AJ
   Huang, L
   Wilson, S
AF McCarty, Jessica L.
   Aalto, Juha
   Paunu, Ville-Veikko
   Arnold, Steve R.
   Eckhardt, Sabine
   Klimont, Zbigniew
   Fain, Justin J.
   Evangeliou, Nikolaos
   Venalainen, Ari
   Tchebakova, Nadezhda M.
   Parfenova, Elena, I
   Kupiainen, Kaarle
   Soja, Amber J.
   Huang, Lin
   Wilson, Simon
TI Reviews and syntheses: Arctic fire regimes and emissions in the 21st
   century
SO BIOGEOSCIENCES
LA English
DT Article
ID BIOMASS BURNING EMISSIONS; ANTHROPOGENIC CLIMATE-CHANGE; SMOLDERING PEAT
   FIRES; BLACK CARBON; INTERANNUAL VARIABILITY; FOREST-FIRES; TRACE GASES;
   BOREAL FORESTS; AIR-POLLUTION; WILDFIRE
AB In recent years, the pan-Arctic region has experienced increasingly extreme fire seasons. Fires in the northern high latitudes are driven by current and future climate change, lightning, fuel conditions, and human activity. In this context, conceptualizing and parameterizing current and future Arctic fire regimes will be important for fire and land management as well as understanding current and predicting future fire emissions. The objectives of this review were driven by policy questions identified by the Arctic Monitoring and Assessment Programme (AMAP) Working Group and posed to its Expert Group on Short-Lived Climate Forcers. This review synthesizes current understanding of the changing Arctic and boreal fire regimes, particularly as fire activity and its response to future climate change in the pan-Arctic have consequences for Arctic Council states aiming to mitigate and adapt to climate change in the north. The conclusions from our synthesis are the following. (1) Current and future Arctic fires, and the adjacent boreal region, are driven by natural (i.e. lightning) and human-caused ignition sources, including fires caused by timber and energy extraction, prescribed burning for landscape management, and tourism activities. Little is published in the scientific literature about cultural burning by Indigenous populations across the pan-Arctic, and questions remain on the source of ignitions above 70 degrees N in Arctic Russia. (2) Climate change is expected to make Arctic fires more likely by increasing the likelihood of extreme fire weather, increased lightning activity, and drier vegetative and ground fuel conditions. (3) To some extent, shifting agricultural land use and forest transitions from forest-steppe to steppe, tundra to taiga, and coniferous to deciduous in a warmer climate may increase and decrease open biomass burning, depending on land use in addition to climate-driven biome shifts. However, at the country and landscape scales, these relationships are not well established. (4) Current black carbon and PM2.5 emissions from wildfires above 50 and 65 degrees N are larger than emissions from the anthropogenic sectors of residential combustion, transportation, and flaring. Wildfire emissions have increased from 2010 to 2020, particularly above 60 degrees N, with 56% of black carbon emissions above 65 degrees N in 2020 attributed to open biomass burning - indicating how extreme the 2020 wildfire season was and how severe future Arctic wildfire seasons can potentially be. (5) What works in the boreal zones to prevent and fight wildfires may not work in the Arctic. Fire management will need to adapt to a changing climate, economic development, the Indigenous and local communities, and fragile northern ecosystems, including permafrost and peatlands. (6) Factors contributing to the uncertainty of predicting and quantifying future Arctic fire regimes include underestimation of Arctic fires by satellite systems, lack of agreement between Earth observations and official statistics, and still needed refinements of location, conditions, and previous fire return intervals on peat and permafrost landscapes. This review highlights that much research is needed in order to understand the local and regional impacts of the changing Arctic fire regime on emissions and the global climate, ecosystems, and pan-Arctic communities.
C1 [McCarty, Jessica L.; Fain, Justin J.] Miami Univ, Dept Geog, Oxford, OH 45056 USA.
   [McCarty, Jessica L.; Fain, Justin J.] Miami Univ, Geospatial Anal Ctr, Oxford, OH 45056 USA.
   [Aalto, Juha; Venalainen, Ari] Finnish Meteorol Inst, Weather & Climate Change Impact Res, Helsinki, Finland.
   [Aalto, Juha] Univ Helsinki, Dept Geosci & Geog, Helsinki, Finland.
   [Paunu, Ville-Veikko] Finnish Environm Inst SYKE, Ctr Sustainable Consumpt & Prod, Helsinki, Finland.
   [Arnold, Steve R.] Univ Leeds, Sch Earth & Environm, Inst Climate & Atmospher Sci, Leeds, W Yorkshire, England.
   [Eckhardt, Sabine; Evangeliou, Nikolaos] Norwegian Inst Air Res, Dept Atmospher & Climate Res ATMOS, Kjeller, Norway.
   [Klimont, Zbigniew] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria.
   [Tchebakova, Nadezhda M.; Parfenova, Elena, I] Russian Acad Sci, VN Sukachev Inst Forests, Siberian Branch, Krasnoyarsk, Russia.
   [Kupiainen, Kaarle] Minist Environm Finland, Aleksanterinkatu 7,POB 35, Helsinki 00023, Finland.
   [Soja, Amber J.] Natl Inst Aerosp, Hampton, VA USA.
   [Soja, Amber J.] NASA, Langley Res Ctr, Hampton, VA 23665 USA.
   [Huang, Lin] Environm & Climate Change Canada, ASTD STB, Climate Res Div, Toronto, ON, Canada.
   [Wilson, Simon] Arctic Monitoring & Assessment Programme AMAP Sec, Tromso, Norway.
C3 University System of Ohio; Miami University; University System of Ohio;
   Miami University; Finnish Meteorological Institute; University of
   Helsinki; Finnish Environment Institute; University of Leeds; NILU;
   International Institute for Applied Systems Analysis (IIASA); Russian
   Academy of Sciences; Krasnoyarsk Science Center of the Siberian Branch
   of the Russian Academy of Sciences; Sukachev Institute of Forest,
   Siberian Branch, Russian Academy of Sciences; National Institute for
   Aerospace; National Aeronautics & Space Administration (NASA); NASA
   Langley Research Center; Environment & Climate Change Canada
RP McCarty, JL (corresponding author), Miami Univ, Dept Geog, Oxford, OH 45056 USA.; McCarty, JL (corresponding author), Miami Univ, Geospatial Anal Ctr, Oxford, OH 45056 USA.
EM jmccarty@miamioh.edu
RI Fain, Justin/AAS-4073-2021; Parfenova, Elena/T-5101-2017; Arnold,
   Steve/B-8856-2014; Aalto, Juha/O-1472-2019; Klimont,
   Zbigniew/O-6683-2019; Klimont, Zbigniew/P-7641-2015; Eckhardt,
   Sabine/I-4001-2012; Evangeliou, Nikolaos/A-7547-2012
OI Arnold, Steve/0000-0002-4881-5685; McCarty, Jessica/0000-0002-3333-3931;
   Klimont, Zbigniew/0000-0003-2630-198X; Paunu,
   Ville-Veikko/0000-0002-3466-4169; Eckhardt, Sabine/0000-0001-6958-5375;
   Evangeliou, Nikolaos/0000-0001-7196-1018
FU Miami University, Ministry for Foreign Affairs of Finland (IBA Forest
   Fires) [1462/31/2019]; Business Finland (BC Footprint) [1462/31/2019];
   ACRoBEAR project - Belmont Forum Climate, Environment and Health (CEH)
   Collaborative Research Action; UK Natural Environment Research Council
   [NE/T013672/1]; Arctic Monitoring and As-sessment Programme (AMAP);
   Russian Foundation for Basic Research (RFBR) [19-45-240004]; Russian
   Foundation for Basic Research [20-05-00540]; NASA's Weather and Data
   Analysis programme; Climate Adaptation Research Fund from Environment
   and Climate Change Canada; European Union; Government of Krasnoyarsk
   Territory [20-05-00540]; NERC [NE/T013672/1] Funding Source: UKRI
FX This research has been supported by Miami University, Ministry for
   Foreign Affairs of Finland (IBA Forest Fires, decision PC0TQ4BT-53);
   Business Finland (BC Footprint; grant no. 1462/31/2019); the ACRoBEAR
   project, funded by the Belmont Forum Climate, Environment and Health
   (CEH) Collaborative Research Action and the UK Natural Environment
   Research Council (grant no. NE/T013672/1); the Arctic Monitoring and
   As-sessment Programme (AMAP); the Russian Foundation for Basic Research
   (RFBR grant no. 19-45-240004); a joint project of the Government of
   Krasnoyarsk Territory and Russian Foundation for Basic Research (GKT
   KRFS and RFBR grant no. 20-05-00540); NASA's Weather and Data Analysis
   programme; and the Climate Adaptation Research Fund from Environment and
   Climate Change Canada. Portions of this publication were produced with
   the financial support of the European Union via the EU-funded Action on
   Black Carbon in the Arctic. Its contents are the sole responsibility of
   Jessica L. McCarty, Ville-Veikko Paunu, Zbigniew Klimont, and Justin J.
   Fain and do not necessarily reflect the views of the European Union.
CR Abatzoglou JT, 2016, P NATL ACAD SCI USA, V113, P11770, DOI 10.1073/pnas.1607171113
   Achard F, 2008, PHILOS T R SOC B, V363, P2331, DOI 10.1098/rstb.2007.2203
   Ahtikoski A, 2019, CAN J FOREST RES, V49, P1101, DOI 10.1139/cjfr-2019-0007
   Akagi SK, 2011, ATMOS CHEM PHYS, V11, P4039, DOI 10.5194/acp-11-4039-2011
   Alaska Division of Forestry, 2020, 2019 EOY HAND
   Alexander HD, 2017, FOREST ECOL MANAG, V396, P35, DOI 10.1016/j.foreco.2017.04.005
   Amann M, 2020, PHILOS T R SOC A, V378, DOI 10.1098/rsta.2019.0331
   Amann M, 2011, ENVIRON MODELL SOFTW, V26, P1489, DOI 10.1016/j.envsoft.2011.07.012
   AMAP, ASS 2021 IMP SHORT L
   AMAP, 2015, AMAP Assessment 2015: Black Carbon and Ozone as Arctic Climate Forcers, P1
   Andreae MO, 2019, ATMOS CHEM PHYS, V19, P8523, DOI 10.5194/acp-19-8523-2019
   Andreae MO, 2001, GLOBAL BIOGEOCHEM CY, V15, P955, DOI 10.1029/2000GB001382
   [Anonymous], 2016, SFPE Handbook of Fire Protection Engineering, DOI [10.1007/978-1-4939-2565-019, DOI 10.1007/978-1-4939-2565-019]
   [Anonymous], 1992, A Systems Analysis of the Global Boreal Forest
   [Anonymous], CLIMATE CHANGE 2013
   [Anonymous], 2019, BET 2018 ARS SKOGSBR, P1
   [Anonymous], 1998, AMAP Assessment Report: Arctic Pollution Issues
   [Anonymous], 2011, AMAP Technical ReportNo. 4
   Baranchikov Y.N., 2014, The Use of Classical Biological Control to Preserve Forests in North America, P383
   Barry T, 2020, GLOBAL ENVIRON CHANG, V63, DOI 10.1016/j.gloenvcha.2020.102099
   Bieniek PA, 2020, J APPL METEOROL CLIM, V59, P1139, DOI 10.1175/JAMC-D-19-0209.1
   Billmire M., 2017, AFSC REM SENS WORKSH
   Bintanja R, 2017, NAT CLIM CHANGE, V7, P263, DOI [10.1038/nclimate3240, 10.1038/NCLIMATE3240]
   Blouin KD, 2016, INT J WILDLAND FIRE, V25, P421, DOI 10.1071/WF15111
   Blyakharchuk TA, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/065004
   Boike J, 2016, GLOBAL PLANET CHANGE, V139, P116, DOI 10.1016/j.gloplacha.2016.01.001
   Bond TC, 2013, J GEOPHYS RES-ATMOS, V118, P5380, DOI 10.1002/jgrd.50171
   Bond TC, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD003697
   Boulanger Y, 2014, CAN J FOREST RES, V44, P365, DOI 10.1139/cjfr-2013-0372
   Boulanger Y, 2013, ECOL APPL, V23, P904, DOI 10.1890/12-0698.1
   Bowman DMJS, 2020, NAT REV EARTH ENV, V1, P500, DOI 10.1038/s43017-020-0085-3
   Box JE, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafc1b
   Burke C, 2019, DRONES-BASEL, V3, DOI 10.3390/drones3010023
   Calef MP, 2017, FORESTS, V8, DOI 10.3390/f8110422
   Carter TS, 2020, ATMOS CHEM PHYS, V20, P2073, DOI 10.5194/acp-20-2073-2020
   Cartier K. M. S., 2017, EOS, V98, DOI [10.1029/2017EO080905, DOI 10.1029/2017EO080905]
   Chang KY, 2019, CRYOSPHERE, V13, P647, DOI 10.5194/tc-13-647-2019
   Chernokulsky A, 2019, INT J CLIMATOL, V39, P5771, DOI 10.1002/joc.6187
   Christensen EG, 2020, COMBUST FLAME, V214, P361, DOI 10.1016/j.combustflame.2019.11.001
   CIFFC, 2020, CAN INT FOR FIR CTR
   Cogos S, 2019, HUM ECOL, V47, P51, DOI 10.1007/s10745-019-0056-9
   Comer B., The international maritime organization's proposed arctic heavy fuel oil ban: likely impacts and opportunities for improvement
   Conard S. G., WILDFIRE MAGAZINE
   Conard SG, 1997, ENVIRON POLLUT, V98, P305, DOI 10.1016/S0269-7491(97)00140-1
   Daanen RP, 2011, CRYOSPHERE, V5, P1043, DOI 10.5194/tc-5-1043-2011
   Davies GM, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0342
   de Groot W. J., P 4 INT S FIR EC PLA
   de Rigo D., 2017, JRC Science Hub, DOI [10.2760/13180, DOI 10.2760/13180]
   Dronin N, 2011, REG ENVIRON CHANGE, V11, pS167, DOI 10.1007/s10113-010-0165-x
   Duncan BN, 2020, REV GEOPHYS, V58, DOI 10.1029/2019RG000652
   Elmes MC, 2018, NAT HAZARD EARTH SYS, V18, P157, DOI 10.5194/nhess-18-157-2018
   Estop-Aragonés C, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aad5f0
   Evangeliou N, 2019, ATMOS CHEM PHYS, V19, P1393, DOI 10.5194/acp-19-1393-2019
   Fain J., AMAP SLCF EG PAN ARC, DOI [10.5281/zenodo.4648723,2021, DOI 10.5281/ZENODO.4648723,2021]
   Fisher JA, 2010, ATMOS CHEM PHYS, V10, P977, DOI 10.5194/acp-10-977-2010
   Flannigan M, 2013, FOREST ECOL MANAG, V294, P54, DOI 10.1016/j.foreco.2012.10.022
   Foster AC, 2019, ECOL MODEL, V409, DOI 10.1016/j.ecolmodel.2019.108765
   French NHF, 2015, INT J WILDLAND FIRE, V24, P1045, DOI 10.1071/WF14167
   Furyaev V. V., 2001, Eurasian Journal of Forest Research, V2, P1
   Furyaev VV, 1996, FOR SCI, V48, P168
   Fusco EJ, 2019, REMOTE SENS ENVIRON, V220, P30, DOI 10.1016/j.rse.2018.10.028
   Gibson CM, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05457-1
   Giglio L, 2009, REMOTE SENS ENVIRON, V113, P408, DOI 10.1016/j.rse.2008.10.006
   Giglio L, 2018, REMOTE SENS ENVIRON, V217, P72, DOI 10.1016/j.rse.2018.08.005
   Giglio L, 2016, REMOTE SENS ENVIRON, V178, P31, DOI 10.1016/j.rse.2016.02.054
   Gralewicz NJ, 2012, FOREST ECOL MANAG, V265, P20, DOI 10.1016/j.foreco.2011.10.031
   Granath G, 2016, SCI REP-UK, V6, DOI 10.1038/srep28498
   Granström A, 2008, PHILOS T R SOC B, V363, P2353, DOI 10.1098/rstb.2007.2205
   Groenemeijer P., Tech.rep., RAIN-Risk Analysis of Infrastructure Networks in Response to Extreme Weather
   Gromny E., PHOTONICS APPL ASTRO, V11176
   Günther A, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15499-z
   Haddaway NR, 2020, NAT ECOL EVOL, V4, P1582, DOI 10.1038/s41559-020-01295-x
   Hall J, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf65
   Hall JV, 2017, FRONT EARTH SC-SWITZ, V5, DOI 10.3389/feart.2017.00109
   Hanes CC, 2019, CAN J FOREST RES, V49, P256, DOI 10.1139/cjfr-2018-0293
   Hannah L, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0228305
   Hayasaka H, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193204
   Helbig M, 2020, NAT CLIM CHANGE, V10, P555, DOI 10.1038/s41558-020-0763-7
   Hislop S, 2020, INT J APPL EARTH OBS, V87, DOI 10.1016/j.jag.2019.102034
   Hoglund-Isaksson L, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab7457
   Holloway JE, 2020, PERMAFROST PERIGLAC, V31, P371, DOI 10.1002/ppp.2048
   Hu FS, 2015, FRONT ECOL ENVIRON, V13, P369, DOI 10.1890/150063
   Hu YQ, 2018, INT J WILDLAND FIRE, V27, P293, DOI [10.1071/WF17084, 10.1071/wf17084]
   Huang XY, 2019, P COMBUST INST, V37, P4025, DOI 10.1016/j.proci.2018.05.125
   Huang XY, 2017, INT J WILDLAND FIRE, V26, P907, DOI 10.1071/WF16198
   Huang XY, 2015, INT J WILDLAND FIRE, V24, P798, DOI 10.1071/WF14178
   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
   Hunt S.J., 2010, GEOPHYS RES LETT, V37, DOI [10.1029/2010GL043584, DOI 10.1029/2010GL043133]
   Ichoku C, 2014, ATMOS CHEM PHYS, V14, P6643, DOI 10.5194/acp-14-6643-2014
   Ingram RC, 2019, J GEOPHYS RES-BIOGEO, V124, P775, DOI 10.1029/2018JG004716
   Innes R. J., 2013, FIRE REGIMES ALASKAN
   Inness A, 2019, ATMOS CHEM PHYS, V19, P3515, DOI 10.5194/acp-19-3515-2019
   Ioffe G, 2004, EURASIAN GEOGR ECON, V45, P45, DOI 10.2747/1538-7216.45.1.45
   Ivanova GA, 2020, J FORESTRY RES, V31, P2507, DOI 10.1007/s11676-019-01038-0
   Jain P, 2020, CLIMATIC CHANGE, V163, P189, DOI 10.1007/s10584-020-02865-5
   Jenkins MJ, 2014, FOREST SCI, V60, P489, DOI 10.5849/forsci.13-017
   Jiang YY, 2015, J GEOPHYS RES-EARTH, V120, P363, DOI 10.1002/2014JF003180
   Johnston DC, 2015, CAN J FOREST RES, V45, P888, DOI 10.1139/cjfr-2014-0334
   Johnston JM, 2018, FIRE-BASEL, V1, DOI 10.3390/fire1020028
   Johnston LM, 2020, ENVIRON REV, V28, P164, DOI 10.1139/er-2019-0046
   Jones BM, 2015, SCI REP-UK, V5, DOI 10.1038/srep15865
   Jones BM, 2013, J GEOPHYS RES-BIOGEO, V118, P1334, DOI 10.1002/jgrg.20113
   Kaiser JW, 2012, BIOGEOSCIENCES, V9, P527, DOI 10.5194/bg-9-527-2012
   Karjalainen O, 2019, SCI DATA, V6, DOI 10.1038/sdata.2019.37
   Keegan KM, 2014, P NATL ACAD SCI USA, V111, P7964, DOI 10.1073/pnas.1405397111
   Kellomäki S, 2018, FORESTS, V9, DOI 10.3390/f9030118
   Ketola J., 2020, EMERGENCY SERVICES A
   Kharuk VI, 2021, AMBIO, V50, P1953, DOI 10.1007/s13280-020-01490-x
   Kharuk VI, 2017, FORESTS, V8, DOI 10.3390/f8080301
   Kicklighter DW, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/035004
   Kieft J., 2016, ECOSYSTEM BASED DISA
   Kiely L, 2019, ATMOS CHEM PHYS, V19, P11105, DOI 10.5194/acp-19-11105-2019
   King M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-26321-8
   Kirchmeier-Young MC, 2019, EARTHS FUTURE, V7, P2, DOI 10.1029/2018EF001050
   Kirillina K, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6c6e
   Klimont Z., 2019, GAINS GLOBAL EMISSIO
   Klimont Z, 2017, ATMOS CHEM PHYS, V17, P8681, DOI 10.5194/acp-17-8681-2017
   Knorr W, 2016, ATMOS CHEM PHYS, V16, P5685, DOI 10.5194/acp-16-5685-2016
   Koster R. D., 2015, TECHNICAL REPORT SER
   Kotlyakov V., 2002, LAND RESOURCES RUSSI, DOI DOI 10.7265/ZPM9-J983
   Krause A, 2014, J GEOPHYS RES-BIOGEO, V119, P312, DOI 10.1002/2013JG002502
   Krawchuk MA, 2006, ECOLOGY, V87, P458, DOI 10.1890/05-1021
   Krawchuk MA, 2011, ECOLOGY, V92, P121, DOI 10.1890/09-1843.1
   Krawchuk MA, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005102
   Kukavskaya EA, 2016, FOREST ECOL MANAG, V382, P225, DOI 10.1016/j.foreco.2016.10.015
   Kukavskaya EA, 2013, CAN J FOREST RES, V43, P493, DOI 10.1139/cjfr-2012-0367
   Kutcher HR, 2010, SOIL TILL RES, V109, P153, DOI 10.1016/j.still.2010.06.001
   Lamarque JF, 2010, ATMOS CHEM PHYS, V10, P7017, DOI 10.5194/acp-10-7017-2010
   Lara MJ, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18768-z
   Larjavaara M, 2005, FOREST ECOL MANAG, V208, P177, DOI 10.1016/j.foreco.2004.12.005
   Lasslop G, 2019, CURR CLIM CHANGE REP, V5, P112, DOI 10.1007/s40641-019-00128-9
   Law KS, 2007, SCIENCE, V315, P1537, DOI 10.1126/science.1137695
   Lawrence DM, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL025080
   Lehtonen I, 2016, NAT HAZARD EARTH SYS, V16, P239, DOI 10.5194/nhess-16-239-2016
   Lidskog R, 2019, SCAND J FOREST RES, V34, P319, DOI 10.1080/02827581.2019.1598483
   Lindberg H, 2020, ECOL PROCESS, V9, DOI 10.1186/s13717-019-0207-3
   Little J.M., 2018, Final Report to the Joint Fire Science Program
   Liu T., FIRE INVENTORIES REG
   Liu TJ, 2020, REMOTE SENS ENVIRON, V237, DOI 10.1016/j.rse.2019.111557
   Loboda T. V., CUMULATIVE ANN BURNE
   Loepfe L, 2012, INT J REMOTE SENS, V33, P3653, DOI 10.1080/01431161.2011.631950
   Loisel J, 2021, NAT CLIM CHANGE, V11, P70, DOI 10.1038/s41558-020-00944-0
   Loranty MM, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/095008
   Malevsky-Malevich SP, 2001, COLD REG SCI TECHNOL, V32, P1, DOI 10.1016/S0165-232X(01)00018-0
   Markuse P., COMP JULY AUGUST 201
   Masrur A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9a76
   McCarty J. L., 2017, Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991
   McCarty JL, 2020, NAT GEOSCI, V13, P658, DOI 10.1038/s41561-020-00645-5
   McGwinn K., 2019, ARCTIC TODAY
   McWethy DB, 2019, NAT SUSTAIN, V2, P797, DOI 10.1038/s41893-019-0353-8
   Mekonnen ZA, 2019, NAT PLANTS, V5, P952, DOI 10.1038/s41477-019-0495-8
   Melekhov I. S., 1980, FOREST SCI
   Michaelides RJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf932
   Mieville A, 2010, ATMOS ENVIRON, V44, P1469, DOI 10.1016/j.atmosenv.2010.01.011
   Molders N., 2018, Open Journal of Air Pollution, V7, P48, DOI DOI 10.4236/OJAP.2018.71004
   Molinari C, 2018, GLOBAL CHANGE BIOL, V24, P4929, DOI 10.1111/gcb.14380
   Monks SA, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052512
   Montesano PM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb2c7
   Morin P., 2016, ARCTICDEM PUBLICLY A
   Mottershead KD, 2020, INT J DISAST RISK SC, V11, P274, DOI 10.1007/s13753-020-00281-y
   NIFC, 2019, TOT WILDL FIR ACR
   Nikolakis W, 2020, INT J WILDLAND FIRE, V29, P974, DOI 10.1071/WF20007
   Nitzbon J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15725-8
   Nordregio, 2019, IND POP ARCT
   Nugent KA, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab56e6
   O'Neill HB, 2020, NAT CLIM CHANGE, V10, P722, DOI 10.1038/s41558-020-0862-5
   Oliva P, 2015, REMOTE SENS ENVIRON, V160, P144, DOI 10.1016/j.rse.2015.01.010
   Paatalo Marja-Leena, 1998, Silva Fennica, V32, P185
   Pan XH, 2020, ATMOS CHEM PHYS, V20, P969, DOI 10.5194/acp-20-969-2020
   Parfenova E, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab10a8
   Parisien MA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15961-y
   Parisien MA, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/7/075005
   Partain JL, 2016, B AM METEOROL SOC, V97, pS14, DOI 10.1175/BAMS-D-16-0149.1
   Peltola H, 2002, TREE PHYSIOL, V22, P963, DOI 10.1093/treephys/22.14.963
   Pickell PD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-14730-0
   Pimentel R, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143519
   Polikarpov N. P., 1998, RUSS J FOREST SCI, V5, P3
   Prat-Guitart N, 2016, INT J WILDLAND FIRE, V25, P456, DOI 10.1071/WF15103
   Prishchepov AV, 2020, INNOV LAND RES, P67, DOI 10.1007/978-3-030-15927-6_6
   Púcik T, 2017, J CLIMATE, V30, P6771, DOI 10.1175/JCLI-D-16-0777.1
   Pureswaran DS, 2018, CURR FOR REP, V4, P35, DOI 10.1007/s40725-018-0075-6
   Qi L, 2019, SCI TOTAL ENVIRON, V691, P442, DOI 10.1016/j.scitotenv.2019.07.073
   Raynolds MK, 2019, REMOTE SENS ENVIRON, V232, DOI 10.1016/j.rse.2019.111297
   Rein G, 2008, CATENA, V74, P304, DOI 10.1016/j.catena.2008.05.008
   Rémy S, 2017, ATMOS CHEM PHYS, V17, P2921, DOI 10.5194/acp-17-2921-2017
   Riley KL, 2019, CURR POLLUT REP, V5, P9, DOI 10.1007/s40726-019-0103-6
   Robinne FN, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124360
   Robinne FN, 2016, INT J WILDLAND FIRE, V25, P1131, DOI 10.1071/WF16058
   Rocha AV, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044039
   Rogers BM, 2014, J GEOPHYS RES-BIOGEO, V119, P1608, DOI 10.1002/2014JG002657
   Rogers BM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6d3a
   Rogers BM, 2015, NAT GEOSCI, V8, P228, DOI [10.1038/NGEO2352, 10.1038/ngeo2352]
   Ronkainen T, 2013, BOREAL ENVIRON RES, V18, P309
   Santoso MA, 2021, INT J WILDLAND FIRE, V30, P378, DOI 10.1071/WF20117
   Schmale J, 2018, EARTHS FUTURE, V6, P1385, DOI 10.1029/2018EF000952
   Scholten R., 2020, SPATIOTEMPORAL PATTE
   Seidl R, 2014, NAT CLIM CHANGE, V4, P806, DOI [10.1038/nclimate2318, 10.1038/NCLIMATE2318]
   Sherstyukov BG, 2014, RUSS METEOROL HYDRO+, V39, P292, DOI 10.3103/S1068373914050021
   Shiwakoti S, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9080464
   Shuman JK, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5eed
   Shumilova L.V., 1962, Botanical Geography of Siberia
   Shvidenko AZ, 2000, ECOL STU AN, V138, P132
   Sidorova E, 2020, POLAR REC, V56, DOI 10.1017/S0032247420000273
   Silva JS, 2010, EUR FOR I RES REP, V23, P49
   Sirin A., P 9 EUR C EC REST FI
   Sirin A, 2018, LAND-BASEL, V7, DOI 10.3390/land7020071
   Sizov O, 2021, BIOGEOSCIENCES, V18, P207, DOI 10.5194/bg-18-207-2021
   Sjöström J, 2019, INT J WILDLAND FIRE, V28, P666, DOI 10.1071/WF18229
   Smirnov NS, 2015, RUSS METEOROL HYDRO+, V40, P435, DOI 10.3103/S1068373915070018
   Sofronov M. A., 1998, Commonwealth Forestry Review, V77, P124
   Sofronov M. A., 2000, Eurasian Journal of Forest Research, V1, P51
   Sofronov MA, 2010, ECOL STUD-ANAL SYNTH, V209, P59, DOI 10.1007/978-1-4020-9693-8_4
   Soja A. J., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P75, DOI 10.1007/s11027-006-1009-3
   Soja AJ, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2004JD004570
   Soja AJ, 2004, INT J REMOTE SENS, V25, P1939, DOI 10.1080/01431160310001609725
   Sommers WT, 2014, FOREST ECOL MANAG, V317, P1, DOI 10.1016/j.foreco.2013.12.014
   Stone R., 2020, SCI MAG, DOI [10.1126/science.abe7149, DOI 10.1126/SCIENCE.ABE7149]
   Stralberg D, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2156
   Stroeve JC, 2014, GEOPHYS RES LETT, V41, P1216, DOI 10.1002/2013GL058951
   Tchebakova NM, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/045207
   Tchebakova NM, 2010, ECOL STUD-ANAL SYNTH, V209, P427, DOI 10.1007/978-1-4020-9693-8_22
   Tchebakova NM, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/045013
   Tchebakova N. M., 2016, NOVEL METHODS MONITO, DOI [10.1007/978-3-319, DOI 10.1007/978-3-319]
   Terrier A, 2013, ECOL APPL, V23, P21, DOI 10.1890/12-0425.1
   Teufel B, 2019, NAT CLIM CHANGE, V9, P858, DOI 10.1038/s41558-019-0614-6
   Theesfeld I, 2017, LAND USE POLICY, V67, P517, DOI 10.1016/j.landusepol.2017.06.018
   Thomas JL, 2017, GEOPHYS RES LETT, V44, P7965, DOI 10.1002/2017GL073701
   Thompson DK, 2020, NAT HAZARD EARTH SYS, V20, P3439, DOI 10.5194/nhess-20-3439-2020
   Thompson DK, 2019, FORESTS, V10, DOI 10.3390/f10070534
   Turetsky MR, 2015, NAT GEOSCI, V8, P11, DOI [10.1038/ngeo2325, 10.1038/NGEO2325]
   Tymstra C, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2019.100045
   van der Werf GR, 2006, ATMOS CHEM PHYS, V6, P3423, DOI 10.5194/acp-6-3423-2006
   van der Werf GR, 2010, ATMOS CHEM PHYS, V10, P11707, DOI 10.5194/acp-10-11707-2010
   van der Werf GR, 2017, EARTH SYST SCI DATA, V9, P697, DOI 10.5194/essd-9-697-2017
   van Leeuwen TT, 2014, BIOGEOSCIENCES, V11, P7305, DOI 10.5194/bg-11-7305-2014
   Veira A, 2016, J GEOPHYS RES-ATMOS, V121, P3195, DOI 10.1002/2015JD024142
   Venäläinen A, 2020, GLOBAL CHANGE BIOL, V26, P4178, DOI 10.1111/gcb.15183
   Veraverbeke S, 2017, NAT CLIM CHANGE, V7, P529, DOI [10.1038/nclimate3329, 10.1038/NCLIMATE3329]
   Viatte C, 2015, ATMOS CHEM PHYS, V15, P2227, DOI 10.5194/acp-15-2227-2015
   Voulgarakis A, 2015, J GEOPHYS RES-ATMOS, V120, P7157, DOI 10.1002/2014JD022926
   Waigl CF, 2019, INT J APPL EARTH OBS, V81, P72, DOI 10.1016/j.jag.2019.03.004
   Waigl CF, 2017, REMOTE SENS ENVIRON, V199, P389, DOI 10.1016/j.rse.2017.07.003
   Walker XJ, 2020, NAT CLIM CHANGE, V10, P1130, DOI 10.1038/s41558-020-00920-8
   Walker XJ, 2019, NATURE, V572, P520, DOI 10.1038/s41586-019-1474-y
   Walsh JE, 2020, EARTH-SCI REV, V209, DOI 10.1016/j.earscirev.2020.103324
   Wang JA, 2020, GLOBAL CHANGE BIOL, V26, P807, DOI 10.1111/gcb.14804
   Wang XL, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa5835
   Watson JG, 2019, ATMOS CHEM PHYS, V19, P14173, DOI 10.5194/acp-19-14173-2019
   WEIN RW, 1976, ARCTIC, V29, P213
   Whitman E, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55036-7
   Wiedinmyer C, 2011, GEOSCI MODEL DEV, V4, P625, DOI 10.5194/gmd-4-625-2011
   Wilkinson SL, 2018, CAN J FOREST RES, V48, P1433, DOI 10.1139/cjfr-2018-0217
   Wilkinson SL, 2019, FRONT FOR GLOB CHANG, V2, DOI 10.3389/ffgc.2019.00084
   Wilson GN, 2020, PALGRAVE HANDBOOK OF ARCTIC POLICY AND POLITICS, P27, DOI 10.1007/978-3-030-20557-7_3
   Witze A, 2020, NATURE, V585, P336, DOI 10.1038/d41586-020-02568-y
   Wotton BM, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7e6e
   Wotton BM, 2003, CLIMATIC CHANGE, V60, P275, DOI 10.1023/A:1026075919710
   Wrona FJ, 2016, J GEOPHYS RES-BIOGEO, V121, P650, DOI 10.1002/2015JG003133
   Xu JR, 2018, CATENA, V160, P134, DOI 10.1016/j.catena.2017.09.010
   Xu WR, 2020, SCI TOTAL ENVIRON, V716, DOI 10.1016/j.scitotenv.2020.136534
   Yanagiya K, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005473
   York A., 2020, ARCTIC REPORT CARD 2, DOI [10.25923/2gef-3964, DOI 10.25923/2GEF-3964]
   Young AM, 2017, ECOGRAPHY, V40, P606, DOI 10.1111/ecog.02205
   Young TK, 2019, INT J CIRCUMPOL HEAL, V78, DOI 10.1080/22423982.2019.1653749
   Yuan H, 2021, P COMBUST INST, V38, P4717, DOI 10.1016/j.proci.2020.07.016
   Zhang R, 2018, INT J DIGIT EARTH, V11, P212, DOI 10.1080/17538947.2017.1315462
   Zhu CL, 2017, SCI REP-UK, V7, DOI [10.1038/s41598-017-03739-0, 10.1038/s41598-017-03603-1]
NR 268
TC 79
Z9 88
U1 11
U2 111
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1726-4170
EI 1726-4189
J9 BIOGEOSCIENCES
JI Biogeosciences
PD SEP 15
PY 2021
VL 18
IS 18
BP 5053
EP 5083
DI 10.5194/bg-18-5053-2021
PG 31
WC Ecology; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology
GA UR0SV
UT WOS:000696468700002
OA Green Submitted, Green Accepted, gold
DA 2025-01-10
ER

PT B
AU Williams, KD
   Sokolowski, MB
AF Williams, Karen D.
   Sokolowski, Marla B.
BE CordobaAguilar, A
   GonzalezTokman, D
   GonzalezSantoyo, I
TI Phenotypic plasticity
SO INSECT BEHAVIOR: FROM MECHANISMS TO ECOLOGICAL AND EVOLUTIONARY
   CONSEQUENCES
LA English
DT Article; Book Chapter
ID GENE-ENVIRONMENT INTERPLAY; DROSOPHILA-MELANOGASTER; FORAGING GENE;
   NATURAL VARIATION; AFFECTS ADULT; BEHAVIORAL PLASTICITY; CLIMATIC
   ADAPTATION; JUVENILE-HORMONE; DNA METHYLATION; MOLECULAR-BASIS
C1 [Williams, Karen D.; Sokolowski, Marla B.] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada.
C3 University of Toronto
RP Williams, KD (corresponding author), Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON, Canada.
RI Williams, Karen/B-9958-2011
OI Williams, karen/0000-0002-9922-9811
CR Alfonso-Parra C, 2016, PLOS NEGLECT TROP D, V10, DOI 10.1371/journal.pntd.0004451
   Allen AM, 2017, GENETICS, V205, P761, DOI 10.1534/genetics.116.197939
   Amarasinghe HE, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2502
   Amor F, 2016, ECOL ENTOMOL, V41, P660, DOI 10.1111/een.12337
   Anholt RRH, 2004, NAT REV GENET, V5, P838, DOI 10.1038/nrg1472
   [Anonymous], 2000, The Bees of the World
   [Anonymous], HUNGRY FLY PHYSL STU
   Anreiter I, 2017, P NATL ACAD SCI USA, V114, P12518, DOI 10.1073/pnas.1710770114
   Anstey ML, 2009, SCIENCE, V323, P627, DOI 10.1126/science.1165939
   Applebaum SW, 1999, ANNU REV ENTOMOL, V44, P317, DOI 10.1146/annurev.ento.44.1.317
   Attrill H, 2016, NUCLEIC ACIDS RES, V44, pD786, DOI 10.1093/nar/gkv1046
   Ben-Shahar Y, 2005, J COMP PHYSIOL A, V191, P987, DOI 10.1007/s00359-005-0025-1
   Ben-Shahar Y, 2002, SCIENCE, V296, P741, DOI 10.1126/science.1069911
   Biergans SD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039349
   Boerjan B, 2011, GEN COMP ENDOCR, V173, P120, DOI 10.1016/j.ygcen.2011.05.003
   Bonasio R, 2015, J EXP BIOL, V218, P114, DOI 10.1242/jeb.110809
   Bonasio R, 2012, CURR BIOL, V22, P1755, DOI 10.1016/j.cub.2012.07.042
   Bonasio R, 2010, SCIENCE, V330, P612, DOI 10.1126/science.1191078
   Boyce WT, 2015, DEVELOPMENTAL SCI, V18, P1, DOI 10.1111/desc.12282
   Boyce WT, 2012, P NATL ACAD SCI USA, V109, P17143, DOI 10.1073/pnas.1121264109
   Brisson JA, 2010, PHILOS T R SOC B, V365, P605, DOI 10.1098/rstb.2009.0255
   Burns JG, 2012, P NATL ACAD SCI USA, V109, P17239, DOI 10.1073/pnas.1121265109
   Chan YB, 2007, P NATL ACAD SCI USA, V104, P19577, DOI 10.1073/pnas.0709803104
   Charlesworth D, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2864
   Chittka A, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000532
   Cridge AG, 2015, NUTRIENTS, V7, P1787, DOI 10.3390/nu7031787
   Dawson-Scully K, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000773
   DEBELLE JS, 1987, HEREDITY, V59, P73, DOI 10.1038/hdy.1987.98
   DEBELLE JS, 1989, GENETICS, V123, P157
   Denlinger DL, 2014, ANNU REV ENTOMOL, V59, P73, DOI 10.1146/annurev-ento-011613-162023
   Denlinger DL, 2002, ANNU REV ENTOMOL, V47, P93, DOI 10.1146/annurev.ento.47.091201.145137
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   Di Cara F, 2016, CURR BIOL, V26, P2469, DOI 10.1016/j.cub.2016.07.004
   Dingle H, 1997, ARCH INSECT BIOCHEM, V35, P359, DOI 10.1002/(SICI)1520-6327(1997)35:4<359::AID-ARCH2>3.0.CO;2-N
   Donlea J, 2012, P NATL ACAD SCI USA, V109, P2613, DOI 10.1073/pnas.1112623109
   Emlen DJ, 2001, J INSECT PHYSIOL, V47, P1045, DOI 10.1016/S0022-1910(01)00084-1
   Emlen DJ, 2012, SCIENCE, V337, P860, DOI 10.1126/science.1224286
   Engel KC, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11035
   Engel KC, 2014, ANIM BEHAV, V90, P245, DOI 10.1016/j.anbehav.2014.02.006
   Erion R, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00353
   Ernst UR, 2015, J EXP BIOL, V218, P88, DOI 10.1242/jeb.107078
   Falconer D.S., 1996, Quantitative Genetics
   Flatt T, 2005, BIOESSAYS, V27, P999, DOI 10.1002/bies.20290
   Flatt T, 2013, Q REV BIOL, V88, P185, DOI 10.1086/671484
   Gibson G, 2004, NAT REV GENET, V5, P681, DOI 10.1038/nrg1426
   Goto SG, 2013, ENTOMOL SCI, V16, P1, DOI 10.1111/ens.12000
   Gotzek D, 2007, Q REV BIOL, V82, P201, DOI 10.1086/519965
   Grüter C, 2014, TRENDS ECOL EVOL, V29, P177, DOI 10.1016/j.tree.2014.01.004
   Guerra PA, 2015, CURR OPIN NEUROBIOL, V34, P20, DOI 10.1016/j.conb.2015.01.009
   Guerra PA, 2013, CURR BIOL, V23, P419, DOI 10.1016/j.cub.2013.01.052
   Guo SY, 2016, INSECT BIOCHEM MOLEC, V76, P18, DOI 10.1016/j.ibmb.2016.06.010
   GUPTA AP, 1982, EVOLUTION, V36, P934, DOI 10.1111/j.1558-5646.1982.tb05464.x
   HARDIE J, 1990, ACTA PHYTOPATHOL HUN, V25, P323
   HARDIE J, 1989, J INSECT PHYSIOL, V35, P619, DOI 10.1016/0022-1910(89)90124-8
   Hardie Jim, 2010, P342
   Head ML, 2014, ECOL LETT, V17, P803, DOI 10.1111/ele.12284
   Holman L, 2016, BIOL LETTERS, V12, DOI 10.1098/rsbl.2015.1038
   Hughson B. N., 2017, J INSECT PHYSL
   Hunt JH, 2007, P NATL ACAD SCI USA, V104, P14020, DOI 10.1073/pnas.0705660104
   Hunt JH, 2005, SCIENCE, V308, P264, DOI 10.1126/science.1109724
   Ingram KK, 2005, MOL ECOL, V14, P813, DOI 10.1111/j.1365-294X.2005.02450.x
   Jablonka E, 2017, INTERFACE FOCUS, V7, DOI 10.1098/rsfs.2016.0135
   Jandt JM, 2015, BEHAV ECOL, V26, P1274, DOI 10.1093/beheco/arv082
   Judd TM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116199
   Kacsoh BZ, 2015, GENETICS, V199, P1143, DOI 10.1534/genetics.114.172221
   Kacsoh BZ, 2013, SCIENCE, V339, P947, DOI 10.1126/science.1229625
   KAMAKURA M, 2016, NATURE, V537, pE10, DOI DOI 10.1038/NATURE19349
   Kamakura M, 2011, NATURE, V473, P478, DOI 10.1038/nature10093
   Karino K, 2005, J INSECT BEHAV, V18, P805, DOI 10.1007/s10905-005-8741-5
   Katewa SD, 2016, CELL METAB, V23, P143, DOI 10.1016/j.cmet.2015.10.014
   Kaun KR, 2008, J EXP BIOL, V211, P3160, DOI 10.1242/jeb.010124
   Kaun KR, 2007, J EXP BIOL, V210, P3547, DOI 10.1242/jeb.006924
   KELLER L, 1993, SCIENCE, V260, P1107, DOI 10.1126/science.260.5111.1107
   Kent CF, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000609
   Kijimoto T, 2016, P NATL ACAD SCI USA, V113, P5982, DOI 10.1073/pnas.1601505113
   Kijimoto T, 2012, P NATL ACAD SCI USA, V109, P20526, DOI 10.1073/pnas.1118589109
   Koganezawa M, 2016, CURR BIOL, V26, P1395, DOI 10.1016/j.cub.2016.04.017
   Kohn NR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081272
   Kramer JM, 2016, BIOCHEM CELL BIOL, V94, P26, DOI 10.1139/bcb-2015-0017
   Kramer JM, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000569
   Krieger MJB, 2005, MOL BIOL EVOL, V22, P2090, DOI 10.1093/molbev/msi203
   Kubrak OI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113051
   Kucharski R, 2008, SCIENCE, V319, P1827, DOI 10.1126/science.1153069
   Kuntz S, 2012, LEARN MEMORY, V19, P337, DOI 10.1101/lm.026369.112
   Kwon B, 2010, J INSECT PHYSIOL, V56, P650, DOI 10.1016/j.jinsphys.2010.01.013
   Le Trionnaire G, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-456
   Leal WS, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0003762
   Lehmann P, 2014, OECOLOGIA, V176, P57, DOI 10.1007/s00442-014-3009-4
   Lucas C, 2009, P NATL ACAD SCI USA, V106, P6351, DOI 10.1073/pnas.0809463106
   MacPherson MR, 2004, J EXP BIOL, V207, P2769, DOI 10.1242/jeb.01086
   Maleszka R, 2008, EPIGENETICS-US, V3, P188, DOI 10.4161/epi.3.4.6697
   Maleszka R, 2016, CURR OPIN INSECT SCI, V15, P45, DOI 10.1016/j.cois.2016.03.003
   Manfredini F, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003633
   Martins JR, 2010, BMC MOL BIOL, V11, DOI 10.1186/1471-2199-11-23
   Mery F, 2007, P NATL ACAD SCI USA, V104, P13051, DOI 10.1073/pnas.0702923104
   Milan NF, 2012, CURR BIOL, V22, P488, DOI 10.1016/j.cub.2012.01.045
   Moczek AP, 2010, PHILOS T R SOC B, V365, P593, DOI 10.1098/rstb.2009.0263
   Moczek AP, 2009, CURR TOP DEV BIOL, V86, P135, DOI 10.1016/S0070-2153(09)01006-0
   Murren CJ, 2015, HEREDITY, V115, P293, DOI 10.1038/hdy.2015.8
   Nijhout HF, 2003, EVOL DEV, V5, P9, DOI 10.1046/j.1525-142X.2003.03003.x
   Oettler J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144699
   Ogawa K, 2014, FRONT PHYSIOL, V5, DOI 10.3389/fphys.2014.00001
   Okada K, 2009, ANIM BEHAV, V77, P1057, DOI 10.1016/j.anbehav.2009.01.008
   Osborne KA, 1997, SCIENCE, V277, P834, DOI 10.1126/science.277.5327.834
   Öst A, 2014, CELL, V159, P1352, DOI 10.1016/j.cell.2014.11.005
   Page RE, 2012, ANNU REV GENET, V46, P97, DOI 10.1146/annurev-genet-110711-155610
   PEREIRA HS, 1993, P NATL ACAD SCI USA, V90, P5044, DOI 10.1073/pnas.90.11.5044
   Piiroinen S, 2011, FUNCT ECOL, V25, P527, DOI 10.1111/j.1365-2435.2010.01804.x
   Pruijssers AJ, 2009, J EXP BIOL, V212, P2998, DOI 10.1242/jeb.030635
   Reaume CJ, 2011, P ROY SOC B-BIOL SCI, V278, P91, DOI 10.1098/rspb.2010.1337
   Reppert SM, 2006, CELL, V124, P233, DOI 10.1016/j.cell.2006.01.009
   Reppert SM, 2016, ANNU REV ENTOMOL, V61, P25, DOI 10.1146/annurev-ento-010814-020855
   Reppert SM, 2010, TRENDS NEUROSCI, V33, P399, DOI 10.1016/j.tins.2010.04.004
   Robich RM, 2005, P NATL ACAD SCI USA, V102, P15912, DOI 10.1073/pnas.0507958102
   Robinson GE, 2005, NAT REV GENET, V6, P257, DOI 10.1038/nrg1575
   Robinson GE, 2008, SCIENCE, V322, P896, DOI 10.1126/science.1159277
   ROITBERG BD, 1993, NATURE, V364, P108, DOI 10.1038/364108a0
   Sandrelli F, 2007, SCIENCE, V316, P1898, DOI 10.1126/science.1138426
   SAUNDERS DS, 1990, J INSECT PHYSIOL, V36, P195, DOI 10.1016/0022-1910(90)90122-V
   SAUNDERS DS, 1989, P NATL ACAD SCI USA, V86, P3748, DOI 10.1073/pnas.86.10.3748
   Scheiner R, 2004, APIDOLOGIE, V35, P133, DOI 10.1051/apido:2004001
   Schiesari L, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163680
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   Schmidt PS, 2011, MECHANISMS OF LIFE HISTORY EVOLUTION: THE GENETICS AND PHYSIOLOGY OF LIFE HISTORY TRAITS AND TRADE-OFFS, P230
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Schwab DB, 2016, J EXP ZOOL PART A, V325, P481, DOI 10.1002/jez.2050
   Schwenke RA, 2016, ANNU REV ENTOMOL, V61, P239, DOI 10.1146/annurev-ento-010715-023924
   Scofield HN, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121731
   Shaver SA, 1998, BEHAV BRAIN RES, V95, P23, DOI 10.1016/S0166-4328(97)00206-4
   Shibao H, 2004, J INSECT PHYSIOL, V50, P995, DOI 10.1016/j.jinsphys.2004.08.004
   Sim C, 2008, P NATL ACAD SCI USA, V105, P6777, DOI 10.1073/pnas.0802067105
   Simmons LW, 2006, P NATL ACAD SCI USA, V103, P16346, DOI 10.1073/pnas.0603474103
   Simoes PMV, 2016, INTEGR COMP BIOL, V56, P914, DOI 10.1093/icb/icw100
   Simola DF, 2016, SCIENCE, V351, DOI 10.1126/science.aac6633
   Simpson SJ, 2011, CURR BIOL, V21, pR738, DOI 10.1016/j.cub.2011.06.006
   Smid HM, 2016, CURR OPIN INSECT SCI, V15, P61, DOI 10.1016/j.cois.2016.03.008
   Snell-Rood EC, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0034857
   Sokolowski M.B., 2001, METH NE FRO NEUROSCI, P3
   Sokolowski Marla B., 2010, P11
   Sokolowski MB, 1997, P NATL ACAD SCI USA, V94, P7373, DOI 10.1073/pnas.94.14.7373
   SOKOLOWSKI MB, 1980, BEHAV GENET, V10, P291, DOI 10.1007/BF01067774
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Toth AL, 2007, SCIENCE, V318, P441, DOI 10.1126/science.1146647
   Trible W, 2017, CELL, V170, P727, DOI 10.1016/j.cell.2017.07.001
   Urquhart-Cronish M, 2014, J INSECT PHYSIOL, V69, P95, DOI 10.1016/j.jinsphys.2014.06.001
   Vellichirammal NN, 2016, MOL ECOL, V25, P4146, DOI 10.1111/mec.13749
   VIA S, 1995, TRENDS ECOL EVOL, V10, P212, DOI 10.1016/S0169-5347(00)89061-8
   Villalta I, 2016, BEHAV ECOL SOCIOBIOL, V70, P285, DOI 10.1007/s00265-015-2052-4
   Vrontou E, 2006, NAT NEUROSCI, V9, P1469, DOI 10.1038/nn1809
   Wang J, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000127
   Wang XH, 2014, ANNU REV ENTOMOL, V59, P225, DOI 10.1146/annurev-ento-011613-162019
   Wang Y, 2016, J EXP BIOL, V219, P949, DOI 10.1242/jeb.130435
   Weiner SA, 2013, NATURWISSENSCHAFTEN, V100, P795, DOI 10.1007/s00114-013-1064-z
   West-Eberhard MJ, 2007, BIOL PHILOS, V22, P439, DOI 10.1007/s10539-006-9034-x
   West-Eberhard Mary Jane, 2003, pi
   WESTEBERHARD MJ, 1989, ANNU REV ECOL SYST, V20, P249, DOI 10.1146/annurev.es.20.110189.001341
   Whitfield CW, 2006, P NATL ACAD SCI USA, V103, P16068, DOI 10.1073/pnas.0606909103
   Whitfield CW, 2003, SCIENCE, V302, P296, DOI 10.1126/science.1086807
   Williams KD, 2006, P NATL ACAD SCI USA, V103, P15911, DOI 10.1073/pnas.0604592103
   Williams Karen D., 2010, P287
   WILLIAMS KD, 1993, HEREDITY, V71, P312, DOI 10.1038/hdy.1993.141
   Xu SJ, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159623
   Yan H, 2015, ANNU REV ENTOMOL, V60, P435, DOI 10.1146/annurev-ento-010814-020803
   Yan H, 2014, NAT REV GENET, V15, P677, DOI 10.1038/nrg3787
   Zhan S, 2014, NATURE, V514, P317, DOI 10.1038/nature13812
   Zhou XG, 2006, P NATL ACAD SCI USA, V103, P4499, DOI 10.1073/pnas.0508866103
   Zhu HS, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001345
   Zhu HS, 2009, BMC BIOL, V7, DOI 10.1186/1741-7007-7-14
NR 168
TC 0
Z9 0
U1 1
U2 13
PU OXFORD UNIV PRESS
PI NEW YORK
PA 198 MADISON AVENUE, NEW YORK, NY 10016 USA
BN 978-0-19-879751-7; 978-0-19-251809-5; 978-0-19-879750-0
PY 2018
BP 63
EP 79
DI 10.1093/oso/9780198797500.003.0005
D2 10.1093/oso/9780198797500.001.0001
PG 17
WC Behavioral Sciences; Ecology; Entomology
WE Book Citation Index – Science (BKCI-S)
SC Behavioral Sciences; Environmental Sciences & Ecology; Entomology
GA BN4SF
UT WOS:000482755400006
DA 2025-01-10
ER

PT J
AU Buchholz, W
   Rubbelke, D
AF Buchholz, Wolfgang
   Rubbelke, Dirk
TI Overstraining international climate finance: when conflicts of
   objectives threaten its success
SO INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT
LA English
DT Article
DE Ancillary benefits; CDM; Climate finance; Co-benefits; Global
   environment facility; Incremental cost; International transfers; Paris
   agreement; Premium prices; Sustainable development goals; CDM and
   premium prices; H41; H87; Q54; Q56
ID SUSTAINABLE DEVELOPMENT; MARKET; PARIS; MECHANISM; BENEFITS; FAIRNESS;
   PROJECTS; IMPACTS; FUTURE
AB Purpose Climate finance is regularly not only seen as a tool to efficiently combat global warming but also to solve development problems in the recipient countries and to support the attainment of sustainable development goals. Thereby, conflicts between distributive and allocative objectives arise, which threaten the overall performance of such transfer schemes. Given the severity of the climate change problem, this study aims to raise concerns about whether the world can afford climate transfer schemes that do not focus on prevention of (and adaptation to) climate change but might be considered as a vehicle of rent-seeking by many agents. Design/methodology/approach Future designs of international transfer schemes within the framework of the Paris Agreement are to be based on experience gained from existing mechanisms. Therefore, the authors examine different existing schemes using a graphical technique first proposed by David Pearce and describe the conflicts between allocative and distributional goals that arise. Findings In line with the famous Tinbergen rule, the authors argue that other sustainability problems and issues of global fairness should not be primarily addressed by climate finance but should be mainly tackled by other means. Research limitations/implications As there is still ongoing, intense discussion about how the international transfer schemes addressed in Article 6 of the Paris Agreement should be designed, the research will help to sort some of the key arguments. Practical implications There are prominent international documents (like the Paris Agreement and the UN 2030 Agenda for Sustainable Development) seeking to address different goals simultaneously. While synergies between policies is desirable, there are major challenges for policy coordination. Addressing several different goals using fewer policy instruments, for example, will not succeed as the Tinbergen Rule points out. Social implications The integration of co-benefits in the analysis allows for taking into account the social effects of climate policy. As the authors argue, climate finance approaches could become overstrained if policymakers would consider them as tools to also solve local sustainability problems. Originality/value In this paper, the authors will not only examine what can be learnt from the clean development mechanism (CDM) for future schemes under Article 6 of the Paris Agreement but also observe the experiences gained from a non-CDM scheme. So the authors pay attention to the Trust Fund of the Global Environment Facility (GEF) which was established with global benefit orientation, i.e. - unlike the CDM - it was not regarded as an additional goal to support local sustainable development. Yet, despite its disregard of local co-benefits, the authors think that it is of particular importance to include the GEF in the analysis, as some important lessons can be learnt from it.
C1 [Buchholz, Wolfgang] Univ Regensburg, Dept Econ, Regensburg, Germany.
   [Buchholz, Wolfgang] CESifo, Munich, Germany.
   [Rubbelke, Dirk] Tech Univ Bergakademie, Fac Business Adm, Freiberg, Germany.
   [Rubbelke, Dirk] Ruhr Univ Bochum, Ctr Environm Management Resources & Energy, Fac Econ & Management, Bochum, Germany.
C3 University of Regensburg; Leibniz Association; Ifo Institut; Technical
   University Freiberg; Ruhr University Bochum
RP Buchholz, W (corresponding author), Univ Regensburg, Dept Econ, Regensburg, Germany.; Buchholz, W (corresponding author), CESifo, Munich, Germany.
EM wolfgang.buchholz@wiwi.uni-regensburg.de;
   dirk.ruebbelke@vwl.tu-freiberg.de
RI Rubbelke, Dirk/M-5604-2013
OI Rubbelke, Dirk/0000-0002-9934-8570
CR [Anonymous], 2006, NEW PUBLIC FINANCE R
   Beccherle J, 2011, J PUBLIC ECON, V95, P1339, DOI 10.1016/j.jpubeco.2011.04.007
   Blum M, 2019, EARTH SYST GOV-NETH, V2, DOI 10.1016/j.esg.2019.100028
   Broughton E., 2009, IFRI HLTH ENV REPORT
   BUCHHOLZ W, 1994, J ECON, V60, P299, DOI 10.1007/BF01227484
   Campagnolo L., 2020, Ancillary Benefits of Climate Policy, P15
   Cima, 2019, GOLD STANDARD MARKET
   COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560
   Concei?ao P., 2006, NEW PUBLIC FINANCE R, P371
   Espelage, 2019, OVERVIEW COMP EXISTI
   Fankhauser S, 2014, HANDBOOK OF SUSTAINABLE DEVELOPMENT, 2ND EDITION, P446
   GCF, 2018, GCFB2103
   GCF, 2019, GCFB2319
   GEF, 2007, OP GUID APPL INCR CO
   GEF EO, 2006, 30 GEF EO
   GEF EO, 2007, 34 GEF EO
   GEF IEO, 2018, GEFMEC55INF01 GEF IE
   GOES MDF, 2021, ENVIRON DEV SUSTAIN, P1
   Hultman N, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6396
   IISD, 2019, GEF B, V192
   King Ken, 1993, INCREMENTAL COSTS GL
   Lang S, 2019, CLIM POLICY, V19, P414, DOI 10.1080/14693062.2018.1556152
   Lou, 2020, THESIS U MARYLAND CO
   M?ller B., 2019, NEGOTIATING COOPERAT
   Michaelowa A., 2020, Ancillary benefits of climate policy: new theoretical developments and empirical findings, P51, DOI [10.1007/978-3-030-30978-7_3, DOI 10.1007/978-3-030-30978-7_3]
   Michaelowa A, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.613
   Moreno, 2020, CDM METHOD TRANSFORM
   Mori-Clement Y, 2019, WORLD DEV, V113, P222, DOI 10.1016/j.worlddev.2018.06.014
   Nemet GF, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014007
   Olsen KH, 2007, CLIMATIC CHANGE, V84, P59, DOI 10.1007/s10584-007-9267-y
   Olsen KH, 2019, INT ENVIRON AGREEM-P, V19, P225, DOI 10.1007/s10784-018-09428-1
   Olsen KH, 2018, CLIM POLICY, V18, P383, DOI 10.1080/14693062.2016.1277686
   Parnphumeesup P, 2015, ENERG SOURCE PART B, V10, P412, DOI 10.1080/15567249.2010.551251
   Pearce D, 2000, ANCILLARY BENEFITS AND COSTS OF GREENHOUSE GAS MITIGATION, P517
   Pearce D., 1995, BLUEPRINT 4 CAPTURIN
   Pearce D., 2004, PORTUGUESE ECONOMICJ, V3, P115, DOI [DOI 10.1007/s10258-004-0034-y, DOI 10.1007/S10258-004-0034-Y]
   Pearce D, 2007, ENVIRON RESOUR ECON, V37, P313, DOI 10.1007/s10640-007-9118-3
   Peterson L, 2019, WORLD DEV, V117, P72, DOI 10.1016/j.worlddev.2018.12.011
   Pickering J, 2017, INT ENVIRON AGREEM-P, V17, P1, DOI 10.1007/s10784-016-9349-2
   Pittel K, 2013, WORLD ECON, V36, P419, DOI 10.1111/twec.12029
   R?bbelke, 2017, CLIMATE FINANCE THEO
   Rive N, 2010, REV WORLD ECON, V146, P515, DOI 10.1007/s10290-010-0063-9
   Robinson CJ, 2016, ENVIRON SCI POLICY, V56, P129, DOI 10.1016/j.envsci.2015.11.007
   Rübbelke DTG, 2011, ECOL ECON, V70, P1470, DOI 10.1016/j.ecolecon.2011.03.007
   Shrivastava MK, 2019, INT ENVIRON AGREEM-P, V19, P497, DOI 10.1007/s10784-019-09448-5
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Stahlke T, 2020, MITIG ADAPT STRAT GL, V25, P107, DOI 10.1007/s11027-019-09863-8
   Sutter C., 2003, Sustainability Check-up for CDM projects-How to assess the Sustainability of International Projects under the Kyoto Protocol
   Sutter C, 2007, CLIMATIC CHANGE, V84, P75, DOI 10.1007/s10584-007-9269-9
   The Federal Government, 2018, AKT
   Ugochukwu B, 2020, MCGILL INT J SUSTAIN, V16, P115
   UNFCCC, 2020, WHAT AR NONM MECH
   United Nations, 2007, P C PART ITS 13 SESS
   V?gele, 2020, ANCILLARY BENEFITS C
   Van den Berg R., 2007, 34 GLOB ENV FAC EV O
   van den Berg RD, 2011, EVALUATION-US, V17, P405, DOI 10.1177/1356389011420210
   West JJ, 2013, NAT CLIM CHANGE, V3, P885, DOI [10.1038/NCLIMATE2009, 10.1038/nclimate2009]
NR 57
TC 2
Z9 2
U1 1
U2 6
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 DEC 8
PY 2021
VL 13
IS 4-5
BP 547
EP 563
DI 10.1108/IJCCSM-06-2021-0071
EA NOV 2021
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA XK8OD
UT WOS:000716529300001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Arfasa, GF
   Sekyere, EO
   Doke, DA
AF Arfasa, Gemechu Fufa
   Sekyere, Ebenezer Owusu
   Doke, Dzigbodi Adzo
TI Temperature and precipitation trend analysis using the CMIP6 model in
   the Upper East region of Ghana
SO ALL EARTH
LA English
DT Article
DE CMIP6; precipitation; temperature; Upper east region; Ghana
ID EARTH SYSTEM MODEL; CLIMATE-CHANGE; IMPACT
AB The aim of this study was to assess the historical and projected climate trend analysis in the Upper East Region, Ghana, using time series and modelled climate data under shared socio-economic pathways scenarios. Due to the climate data scarcity challenge in Ghana, there is a need to rely on high-resolution satellite-based climate products for climate change studies. Accordingly, temperature and precipitation data of six stations were obtained from Ghana meteorological stations; in addition, precipitation data of five satellite stations were obtained from CHIRPS data with 0.05' (5 km) resolution to complement the in-situ datasets; and the temperature data for the satellite station obtained from the NASA power project were extracted. Modelled climate data were obtained from five GCMs in the CMIP data portal on the WCRP website. R software was used to extract NetCDF-format GCM data to Excel format and CMhyd was used for downscaling GCM data. The variance scaling method and local intensity scaling methods were used for temperature and precipitation bias correction, respectively. The Mann-Kendall (MK) method was used to determine the statistical significance of a change and identify trends in temperature and precipitation. The results of historical temperatures were significantly increased, while historical precipitation was significantly decreased. The projected mean annual temperature will increase significantly, peaking at 1.80 degrees C by 2065, precipitation will, conversely, show significant spatial variability and seasonal dependency. For instance, by 2065, precipitation is projected to decrease between 10.05% and 12.66%. The results concluded by recommending policymakers develop climate change adaptation strategies guided by future climate scenarios.
C1 [Arfasa, Gemechu Fufa] Wolaita Sodo Univ, Dept Nat Resource Management, Sodo, Ethiopia.
   [Arfasa, Gemechu Fufa; Sekyere, Ebenezer Owusu; Doke, Dzigbodi Adzo] Univ Dev Studies, Fac Nat Resources & Environm, Dept Environm & Sustainabil Sci, Tamale, Ghana.
C3 University for Development Studies
RP Arfasa, GF (corresponding author), Wolaita Sodo Univ, Dept Nat Resource Management, Sodo, Ethiopia.
EM feragemechu@gmail.com
RI Arfasa, Gemechu/JRY-0842-2023
OI Arfasa, Gemechu Fufa/0000-0003-2798-0566
CR Acheampong EN, 2014, CLIMATIC CHANGE, V126, P31, DOI 10.1007/s10584-014-1195-z
   Agbo EP, 2023, CLIM DYNAM, V60, P3385, DOI 10.1007/s00382-022-06521-9
   Alves K. S., 2022, From reanalysis data to inference: A framework for linking environment to plant disease epidemics at the regional scale
   Andrijevic M, 2020, NAT SUSTAIN, V3, P35, DOI 10.1038/s41893-019-0405-0
   Atiah WA, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e17604
   Ayar PV, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-82715-1
   Bauer N, 2017, GLOBAL ENVIRON CHANG, V42, P316, DOI 10.1016/j.gloenvcha.2016.07.006
   Calvin K, 2017, GLOBAL ENVIRON CHANG, V42, P284, DOI 10.1016/j.gloenvcha.2016.06.010
   Chaturvedi V, 2020, ENERGY, V192, DOI 10.1016/j.energy.2019.116708
   Constantinidou K, 2020, EARTH SYST ENVIRON, V4, P647, DOI 10.1007/s41748-020-00187-1
   Derbile EK, 2022, CLIM DEV, V14, P39, DOI 10.1080/17565529.2021.1881423
   Deser C, 2020, NAT CLIM CHANGE, V10, P277, DOI 10.1038/s41558-020-0731-2
   Dessu SB, 2013, HYDROL PROCESS, V27, P2973, DOI 10.1002/hyp.9434
   Döscher R, 2022, GEOSCI MODEL DEV, V15, P2973, DOI 10.5194/gmd-15-2973-2022
   Dutta D, 2022, J WATER CLIM CHANGE, V13, P854, DOI 10.2166/wcc.2022.214
   Eby M, 2013, CLIM PAST, V9, P1111, DOI 10.5194/cp-9-1111-2013
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Frimpong BF, 2022, ENVIRON SYST RES, V11, DOI 10.1186/s40068-022-00269-1
   Frimpong K., 2014, Recent trends in temperature and relative humidity in Bawku East
   Gbangou T, 2019, CLIM SERV, V14, P19, DOI 10.1016/j.cliser.2019.04.002
   Harcourt R, 2019, CLIMATIC CHANGE, V155, P257, DOI 10.1007/s10584-019-02455-0
   Hewitt CD, 2021, B AM METEOROL SOC, V102, pE578, DOI 10.1175/BAMS-D-20-0103.1
   Hosseinzadehtalaei P, 2021, J HYDROL, V598, DOI 10.1016/j.jhydrol.2021.126239
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Kharin VV, 2013, CLIMATIC CHANGE, V119, P345, DOI 10.1007/s10584-013-0705-8
   Klutse NAB, 2020, SN APPL SCI, V2, DOI 10.1007/s42452-020-3095-3
   Kosoe EA, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100289
   Kwawuvi D, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.1184050
   Larbi I, 2022, SCI AFR, V15, DOI 10.1016/j.sciaf.2021.e01071
   Larbi I, 2021, HYDROL RES, V52, P1200, DOI 10.2166/nh.2021.096
   Laube W, 2012, CLIMATIC CHANGE, V111, P753, DOI 10.1007/s10584-011-0199-1
   Maharana P, 2021, INT J CLIMATOL, V41, P2137, DOI 10.1002/joc.6951
   Manski CF, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022886118
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   Meehl GA, 2000, B AM METEOROL SOC, V81, P413, DOI 10.1175/1520-0477(2000)081<0413:AITTIE>2.3.CO;2
   Meehl GA, 2014, NAT CLIM CHANGE, V4, P898, DOI [10.1038/NCLIMATE2357, 10.1038/nclimate2357]
   MESTI, 2015, Ghanas Third National Communication Report to the UNFCCC
   Milentijevic N, 2022, IDOJARAS, V126, P47, DOI 10.28974/idojaras.2022.1.3
   Mohammed K, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-03034-y
   Mostafa S. M., 2022, 3 INT EL C APPL SCI
   Norrgård S, 2015, CLIMATIC CHANGE, V129, P131, DOI 10.1007/s10584-014-1307-9
   Nuhu MG, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610432
   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
   ONeill B., 2016, The shared socioeconomic pathways (SSPs) and their extension and use in impact, adaptation and vulnerability studies
   Orkodjo TP, 2022, J HYDROL-REG STUD, V44, DOI 10.1016/j.ejrh.2022.101254
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Somorin O. A., 2010, African Journal of Environmental Science and Technology, V4, P903
   Stanturf J.A., 2011, Ghana Climate Change Vulnerability and Adaptation Assessment
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P237, DOI 10.1016/j.gloenvcha.2016.05.008
   Willkofer F, 2018, J HYDROL-REG STUD, V19, P25, DOI 10.1016/j.ejrh.2018.06.010
   Wong JS, 2017, HYDROL EARTH SYST SC, V21, P2163, DOI 10.5194/hess-21-2163-2017
   Zhu X, 2021, INT J CLIMATOL, V41, P6455, DOI 10.1002/joc.7206
NR 55
TC 3
Z9 3
U1 8
U2 27
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
EI 2766-9645
J9 ALL EARTH
JI All Earth
PD DEC 31
PY 2024
VL 36
IS 1
BP 1
EP 14
DI 10.1080/27669645.2023.2290966
PG 14
WC Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology
GA DA5T9
UT WOS:001129333200001
OA gold
DA 2025-01-10
ER

PT J
AU Weng, XR
   Zhu, JX
   Wang, DG
   Chen, HJ
   Wang, S
   Qing, YM
AF Weng, Xuerou
   Zhu, Jinxin
   Wang, Dagang
   Chen, Huijiao
   Wang, Shuo
   Qing, Yamin
TI Exploring the relationship between drought-flood abrupt alternation and
   soil erosion over Guangdong, China through a convection-permitting model
SO GEOMATICS NATURAL HAZARDS & RISK
LA English
DT Article
DE Climate Change; Soil Erosion; Convection Permitting; Drought-Flood
   Abrupt Alternation
ID CLIMATE-CHANGE IMPACTS; WATER EROSION; LOESS PLATEAU; PRECIPITATION;
   CARBON; RUSLE; SIMULATION; GIS; TEMPERATURE; RESOLUTION
AB Climate change has caused a more heterogeneous distribution of extreme precipitation, leading to the deterioration of drought-flood abrupt alternation (DFAA) events and soil erosion. The security and sustainable utilization of water and soil resources are severely threatened. Previous studies have focused separately on these two aspects, failing to comprehensively consider their interrelationship. Furthermore, these studies often rely on climate models with convection parameterization, resulting in substantial uncertainties. We use a 4 km convective permitting model (CPM) to generate reliable outputs for extreme precipitation. By incorporating the long-cycle drought-flood abrupt transition index and the Revised Universal Soil Loss Equation model, we analyze the changes in DFAA events and soil erosion, as well as their interconnectedness. The results show that the CPM outperforms coarse-resolution climate models in reproducing erosive rainfall and simulating the heterogeneous distribution of rainfall by capturing convection processes effectively. Projections indicate an escalation in the occurrence of DFAA events and soil erosion due to the more uneven distribution of precipitation. Specifically, the frequency of flood-to-drought (FTD) events within DFAA is projected to rise from 3.8 to 4.7 per decade. Soil loss is projected to increase 61 t center dot hm(-2)center dot a(-1), with 73% of the area experiencing more severe soil erosion intensity. A positive correlation between FTD events and soil erosion is found throughout most of Guangdong. This correlation will be further amplified with an increase in the frequency of FTD events. Consequently, existing soil conservation measures are rendered inadequate, presenting substantial challenges for climate change adaptation and ecological protection in the region.
C1 [Weng, Xuerou; Zhu, Jinxin; Wang, Dagang] Sun Yat Sen Univ, Sch Geog & Planning, Carbon Water Res Stn Karst Reg Northern Guangdong, Guangzhou, Peoples R China.
   [Chen, Huijiao; Wang, Shuo; Qing, Yamin] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
C3 Sun Yat Sen University; Hong Kong Polytechnic University
RP Zhu, JX (corresponding author), Sun Yat Sen Univ, Sch Geog & Planning, Carbon Water Res Stn Karst Reg Northern Guangdong, Guangzhou, Peoples R China.
EM zhujx29@mail.sysu.edu.cn
FU National Natural Science Foundation of China [42301021]; Guangdong
   Natural Science Foundation [2023A1515012046]
FX This study was supported by the National Natural Science Foundation of
   China (Grant No. 42301021) and the Guangdong Natural Science Foundation
   (Grant No. 2023A1515012046).
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   AghaKouchak A, 2014, GEOPHYS RES LETT, V41, P8847, DOI 10.1002/2014GL062308
   Amundson R, 2015, SCIENCE, V348, DOI 10.1126/science.1261071
   [Anonymous], 2000, Soil erosion risk assessment in Europe
   Ascott MJ, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2023.129097
   Azari M, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125826
   Ban NI, 2020, CLIM DYNAM, V55, P61, DOI 10.1007/s00382-018-4339-4
   Ban N, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021478
   Basheer S, 2024, SUSTAINABILITY-BASEL, V16, DOI 10.3390/su16114789
   Bi WX, 2023, SCI TOTAL ENVIRON, V875, DOI 10.1016/j.scitotenv.2023.162529
   Bi WX, 2022, AGR WATER MANAGE, V262, DOI 10.1016/j.agwat.2021.107426
   Borrelli P, 2020, P NATL ACAD SCI USA, V117, P21994, DOI 10.1073/pnas.2001403117
   Borrelli P, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-02142-7
   Cai GQ, 2020, THEOR APPL CLIMATOL, V142, P177, DOI 10.1007/s00704-020-03302-4
   Chan SC, 2014, J CLIMATE, V27, P6155, DOI 10.1175/JCLI-D-13-00723.1
   Chen H, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD033894
   Chen HJ, 2023, EARTHS FUTURE, V11, DOI 10.1029/2022EF003397
   Chen HJ, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL099766
   Coles S., 2001, An Introduction to Statistical Modeling of Extreme Values, DOI DOI 10.1007/978-1-4471-3675-0
   Dai A, 1999, J GEOPHYS RES-ATMOS, V104, P6377, DOI 10.1029/98JD02720
   de Vries F, 2023, TRENDS ECOL EVOL, V38, P708, DOI 10.1016/j.tree.2023.03.001
   Doetterl S, 2016, EARTH-SCI REV, V154, P102, DOI 10.1016/j.earscirev.2015.12.005
   Du ZY, 2023, SCI TOTAL ENVIRON, V864, DOI 10.1016/j.scitotenv.2022.161142
   Elnashar A, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148466
   Fosser G, 2015, CLIM DYNAM, V44, P45, DOI 10.1007/s00382-014-2242-1
   Ganasri BP, 2016, GEOSCI FRONT, V7, P953, DOI 10.1016/j.gsf.2015.10.007
   Gao F, 2017, IOP C SER EARTH ENV, V74, DOI 10.1088/1755-1315/74/1/012007
   Gao XJ, 2006, THEOR APPL CLIMATOL, V86, P173, DOI 10.1007/s00704-005-0214-4
   Ghosal K, 2020, J INDIAN SOC REMOTE, V48, P689, DOI 10.1007/s12524-019-01097-0
   Guo JH, 2023, NPJ CLIM ATMOS SCI, V6, DOI 10.1038/s41612-023-00412-4
   Guo ZY, 2019, J GEOPHYS RES-ATMOS, V124, P9183, DOI 10.1029/2019JD030295
   [何慧 He Hui], 2016, [地理学报, Acta Geographica Sinica], V71, P130
   He Y, 2022, SCI TOTAL ENVIRON, V824, DOI 10.1016/j.scitotenv.2022.153885
   Horton DE, 2015, NATURE, V522, P465, DOI 10.1038/nature14550
   Jaafari A, 2022, J ENVIRON MANAGE, V315, DOI 10.1016/j.jenvman.2022.115181
   Li DH, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126996
   Li S., 2021, Guangdong Water Resources and Hydropower, P79
   Li SS, 2020, J HYDROL, V588, DOI 10.1016/j.jhydrol.2020.125051
   Li ZY, 2016, EARTH-SCI REV, V163, P94, DOI 10.1016/j.earscirev.2016.10.004
   [廖义善 Liao Yishan], 2014, [生态环境学报, Ecology and Environmental Sciences], V23, P223
   Liu BY, 2020, INT SOIL WATER CONSE, V8, P430, DOI 10.1016/j.iswcr.2020.07.002
   Liu H, 2023, ATMOS RES, V281, DOI 10.1016/j.atmosres.2022.106498
   Liu Y, 2019, QUATERN INT, V519, P3, DOI 10.1016/j.quaint.2019.01.034
   Lucas-Picher P, 2017, CLIM DYNAM, V48, P2611, DOI 10.1007/s00382-016-3227-z
   Ma YY, 2019, CLIM DYNAM, V52, P5013, DOI 10.1007/s00382-018-4445-3
   Masroor M, 2022, GEOSCI FRONT, V13, DOI 10.1016/j.gsf.2021.101312
   Masson-Delmotte V., 2021, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change
   Nearing MA, 2004, J SOIL WATER CONSERV, V59, P43
   Papalexiou SM, 2019, WATER RESOUR RES, V55, P4901, DOI [10.1029/2018WR024067, 10.1029/2018wr024067]
   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 SZ, 2019, EARTH SYST SCI DATA, V11, P1931, DOI 10.5194/essd-11-1931-2019
   Peng X, 2007, SOIL SCI SOC AM J, V71, P1095, DOI 10.2136/sssaj2006.0156
   Pfahl S, 2017, NAT CLIM CHANGE, V7, P423, DOI [10.1038/NCLIMATE3287, 10.1038/nclimate3287]
   Phinzi K, 2019, INT SOIL WATER CONSE, V7, P27, DOI 10.1016/j.iswcr.2018.12.002
   Polade SD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11285-y
   Prein AF, 2015, REV GEOPHYS, V53, P323, DOI 10.1002/2014RG000475
   Qiao FX, 2015, CLIM DYNAM, V45, P727, DOI 10.1007/s00382-014-2301-7
   Qiao Y, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.156521
   Ren JX, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161707
   Schulze ED, 2005, NATURE, V437, P205, DOI 10.1038/437205a
   Sharpley A. N., 1990, Technical Bulletin - United States Department of Agriculture
   Shi WZ, 2021, J HYDROL, V597, DOI 10.1016/j.jhydrol.2021.126179
   Shmilovitz Y, 2021, SCI TOTAL ENVIRON, V787, DOI 10.1016/j.scitotenv.2021.147609
   Shu C, 2022, BUILD ENVIRON, V207, DOI 10.1016/j.buildenv.2021.108415
   Tang Q, 2015, ENVIRON EARTH SCI, V73, P1715, DOI 10.1007/s12665-014-3523-z
   Thomas J, 2018, GEOSCI FRONT, V9, P893, DOI 10.1016/j.gsf.2017.05.011
   Tian P, 2021, INT SOIL WATER CONSE, V9, P433, DOI 10.1016/j.iswcr.2021.04.007
   Van Oost K, 2023, BIOGEOSCIENCES, V20, P635, DOI 10.5194/bg-20-635-2023
   Wang R, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4291
   Weber T, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001473
   Wu ZW, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024487
   Xie Y, 2016, J HYDROL, V535, P547, DOI 10.1016/j.jhydrol.2016.02.020
   Xue JP, 2018, WATER-SUI, V10, DOI 10.3390/w10121817
   Yu XF, 2019, GLOBAL PLANET CHANGE, V183, DOI 10.1016/j.gloplacha.2019.103033
   Yue Y, 2016, P NATL ACAD SCI USA, V113, P6617, DOI 10.1073/pnas.1523358113
   Zhang BQ, 2016, SCI TOTAL ENVIRON, V539, P436, DOI 10.1016/j.scitotenv.2015.08.132
   Zhang W, 2021, FRONT EARTH SC-SWITZ, V9, DOI 10.3389/feart.2021.673495
   Zhang Y, 2021, AGR WATER MANAGE, V245, DOI 10.1016/j.agwat.2020.106557
   Zhang YQ, 2023, SCI TOTAL ENVIRON, V876, DOI 10.1016/j.scitotenv.2023.162822
   Zhang ZB, 2013, GEODERMA, V192, P12, DOI 10.1016/j.geoderma.2012.08.009
   Zhu R, 2020, ENVIRON EXP BOT, V169, DOI 10.1016/j.envexpbot.2019.103901
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
   Zscheischler J, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700263
NR 83
TC 0
Z9 0
U1 57
U2 57
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
J9 GEOMAT NAT HAZ RISK
JI Geomat. Nat. Hazards Risk
PD DEC 31
PY 2024
VL 15
IS 1
AR 2383779
DI 10.1080/19475705.2024.2383779
PG 24
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA A5S1X
UT WOS:001283118600001
OA gold
DA 2025-01-10
ER

PT J
AU Louis, R
   Shea, K
AF Louis, Rafaela
   Shea, Kristina
TI Solar-powered thermo-pneumatic actuators for passively controlled
   adaptive shading
SO SMART MATERIALS AND STRUCTURES
LA English
DT Article
DE actuator; solar-powered; thermo-pneumatic; adaptive shading; irradiance;
   soft-pneumatic actuator
ID ENERGY; BUILDINGS
AB The operational energy demand of buildings plays a significant role in global energy consumption. Especially, the energy required for cooling is predicted to rise due to climate change. Adaptive shading is a promising approach to save operational energy in buildings. State-of-the-art adaptive shading systems employ both active and passive actuation as well as control strategies, to lower energy consumption while maintaining the thermal and visual comfort of building occupants. However, both approaches still must overcome challenges that hinder widespread adoption. Active systems need motors and pumps, dedicated power supplies, and control electronics. These components make the systems heavy and complex to maintain and repair. Passive systems work without dedicated power supplies and control electronics but can face limitations based on the active materials used, e.g. material degradation, toxicity, narrow response windows, and unknown performance in varying conditions. This work presents a solar-powered, thermo-pneumatic actuator for use in adaptive shading applications that works without specialized active materials, electronic actuation and controls. The actuator incorporates elastic bellows to transform the thermal expansion of air into motion and adapts to changes in irradiance. The actuator is built as a functional prototype and its performance in different irradiance scenarios is evaluated. The actuator is capable of considerable motion, moving a rotational mechanism close to 90 degrees powered by an irradiance of 1000 W m(-2). The actuator response is sensitive enough to react to hourly changes in irradiance as well as to a simulated solar cycle. The paper concludes with the presentation of a shading device concept incorporating the actuator to highlight its potential for use in adaptive shading applications to reduce operational energy in buildings.
C1 [Louis, Rafaela; Shea, Kristina] Swiss Fed Inst Technol, Dept Mech & Proc Engn, Engn Design & Comp Lab, Tannenstr 3, CH-8092 Zurich, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich
RP Louis, R (corresponding author), Swiss Fed Inst Technol, Dept Mech & Proc Engn, Engn Design & Comp Lab, Tannenstr 3, CH-8092 Zurich, Switzerland.
EM louisr@ethz.ch; kshea@ethz.ch
CR [Anonymous], 2019, Global Status Report for Buildings and Construction 2019
   Artusy B L., 1981, US Patent, Patent No. 4279240
   Attia S, 2020, ENERGY SCI ENG, V8, P3255, DOI 10.1002/ese3.725
   Bodaghi M., 2022, SMART MAT ADDITIVE M
   Born L, 2024, DEV BUILT ENVIRON, V18, DOI 10.1016/j.dibe.2024.100372
   Cao XD, 2016, ENERG BUILDINGS, V128, P198, DOI 10.1016/j.enbuild.2016.06.089
   Cross W., 1969, GER-14188
   Du Pasquier C., 2022, Doctoral Dissertation
   Dykstra DMJ, 2019, J APPL MECH-T ASME, V86, DOI 10.1115/1.4044036
   Eisenbarth C., 2021, J. Facade Des. Eng, V9, P147, DOI [10.7480/jfde.2021.1.5535, DOI 10.7480/JFDE.2021.1.5535]
   El-Dabaa R., 2021, Open House Int, V46, P376, DOI [10.1108/OHI-02-2021-0028, DOI 10.1108/OHI-02-2021-0028]
   European Commission, 2024, Photovoltaic Geographical Information System (PVGIS) Joint Research Centre
   Fiorito F, 2016, RENEW SUST ENERG REV, V55, P863, DOI 10.1016/j.rser.2015.10.086
   Fraternali F, 2015, SMART MATER STRUCT, V24, DOI 10.1088/0964-1726/24/10/105032
   Gonalves M., 2024, Renew. Sustain. Energy Rev, V199, P114474, DOI [https://doi.org/10.1016/j.rser.2024.114474, DOI 10.1016/J.RSER.2024.114474]
   González-Torres M, 2022, ENERGY REP, V8, P626, DOI 10.1016/j.egyr.2021.11.280
   Gunay HB, 2017, BUILD ENVIRON, V113, P185, DOI 10.1016/j.buildenv.2016.08.027
   Hartmann B, 2020, RENEW ENERG, V154, P661, DOI 10.1016/j.renene.2020.03.055
   IEA, 2023, Net Zero Roadmap: A Global Pathway to Keep the 1.5 C Goal in Reach
   International Energy Agency (IEA), 2020, GlobalABC Roadmap for Buildings and Construction 2020-2050Analysis
   Isaac M, 2009, ENERG POLICY, V37, P507, DOI 10.1016/j.enpol.2008.09.051
   Jayathissa P, 2016, SOL ENERG MAT SOL C, V156, P75, DOI 10.1016/j.solmat.2016.04.017
   Körner A, 2018, SMART MATER STRUCT, V27, DOI 10.1088/1361-665X/aa9c2f
   Kongtragool B, 2003, RENEW SUST ENERG REV, V7, P131, DOI 10.1016/S1364-0321(02)00053-9
   Koukelli C, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12010082
   Le Duigou A, 2017, SMART MATER STRUCT, V26, DOI 10.1088/1361-665X/aa9410
   Li YB, 2021, MATER TODAY ENERGY, V22, DOI 10.1016/j.mtener.2021.100874
   Louis R., 2023, 35 INT C DES THEOR M, pp V006T06A048, DOI [10.1115/DETC2023-116554, DOI 10.1115/DETC2023-116554]
   Mansourizadeh K, 2021, BUILD ENVIRON, V187, DOI 10.1016/j.buildenv.2020.107385
   Mastrucci A, 2021, CLIMATIC CHANGE, V168, DOI 10.1007/s10584-021-03229-3
   Meijer R J., 1987, US Patent, Patent No. 1965187
   Miriyev A, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-00685-3
   Mirvakili SM, 2021, ADV SCI, V8, DOI 10.1002/advs.202004235
   Nematollahi M, 2018, PROC SPIE, V10595, DOI 10.1117/12.2299817
   Pagoli A, 2022, SMART MATER STRUCT, V31, DOI 10.1088/1361-665X/ac383a
   Perino M., 2015, J FACADE DESIGN ENG, V3, P143, DOI [DOI 10.3233/FDE-150039, 10.3233/fde-150039]
   PONS RL, 1980, J SOL ENERG-T ASME, V102, P272, DOI 10.1115/1.3266191
   Ricci A., 2019, J. Facade Des. Eng, V7, P27, DOI [10.7480/jfde.2019.1.2778, DOI 10.7480/JFDE.2019.1.2778]
   Ruiz-Arias JA, 2023, SOL ENERGY, V263, DOI 10.1016/j.solener.2023.111895
   Santamouris M, 2016, ENERG BUILDINGS, V128, P617, DOI 10.1016/j.enbuild.2016.07.034
   Serode J F., 2019, POW C P MUN, P95
   Shao YC, 2023, CHEM ENG J, V454, DOI 10.1016/j.cej.2022.140271
   Shin J, 2024, SOFT ROBOT, V11, P187, DOI 10.1089/soro.2022.0229
   Svetozarevic B, 2019, NAT ENERGY, V4, P671, DOI 10.1038/s41560-019-0424-0
   Tabadkani A, 2021, AUTOMAT CONSTR, V121, DOI 10.1016/j.autcon.2020.103450
   Vailati C, 2018, ENERG BUILDINGS, V158, P1013, DOI 10.1016/j.enbuild.2017.10.042
   Vazquez E, 2022, SMART MATER STRUCT, V31, DOI 10.1088/1361-665X/ac5014
   WILSON JF, 1984, INT J MECH SCI, V26, P593, DOI 10.1016/0020-7403(84)90013-4
   Yi H, 2021, J BUILD ENG, V43, DOI 10.1016/j.jobe.2021.103076
   Yi H, 2020, AUTOMAT CONSTR, V114, DOI 10.1016/j.autcon.2020.103151
   Yue WC, 2024, ADV ENG MATER, V26, DOI 10.1002/adem.202301408
   Znaor N., 2018, EU Patent, Patent No. 2933427
NR 52
TC 0
Z9 0
U1 3
U2 3
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 0964-1726
EI 1361-665X
J9 SMART MATER STRUCT
JI Smart Mater. Struct.
PD DEC 1
PY 2024
VL 33
IS 12
AR 125034
DI 10.1088/1361-665X/ad9446
PG 17
WC Instruments & Instrumentation; Materials Science, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Instruments & Instrumentation; Materials Science
GA N7N7Z
UT WOS:001366166700001
OA hybrid
DA 2025-01-10
ER

PT J
AU Latoja, D
   Lillo-Saavedra, M
   Gonzalo-Martin, C
   Godoy-Faúndez, A
   Somos-Valenzuela, M
   Rivera, D
AF Latoja, Daniela
   Lillo-Saavedra, Mario
   Gonzalo-Martin, Consuelo
   Godoy-Faundez, Alex
   Somos-Valenzuela, Marcelo
   Rivera, Diego
TI Decadal Variability of Dry Days in Central Chile
SO EARTH SYSTEMS AND ENVIRONMENT
LA English
DT Article; Early Access
DE Water management; Temporal trends; Climate variability
ID SOUTHERN ANNULAR MODE; AMUNDSEN SEA LOW; RAINFALL VARIABILITY; WEST
   ANTARCTICA; CAUTIONARY NOTE; AMERICA-CHILE; EL-NINO; PRECIPITATION;
   CLIMATE; IMPACTS
AB Dry days are crucial in precipitation variability and water scarcity, particularly in Mediterranean regions facing increasing aridity. Despite their importance, most research focuses on precipitation amounts and temporal dynamics. This study addresses this gap by analyzing dry days' temporal and spatial variability in central Chile (32-40 S), a region experiencing prolonged drought. We examined dry day patterns from 1960 to 2021 using high-resolution gridded precipitation data, defining dry days with five precipitation thresholds (0.10, 1, 2.5, 5, and 10 mm/day). Principal component and trend analyses were employed to characterize spatial and temporal variability. Results reveal a spatial pattern of dry days closely following precipitation patterns, with more dry days in northern and coastal areas. The first principal component explains 70-80% of the variance, and clustering methods allowed the definition of five homogeneous regions with distinct monthly dry-day characteristics. Long-term trends show a significant increase in annual dry days south of 38 degrees S, while trends are weaker and non-significant further north. Notably, trend direction is highly sensitive to the analysis period, with some regions showing opposing trends before and after 1982. The 2010-2019 megadrought is detectable in decadal anomalies. We found links between dry day anomalies and large-scale climate patterns, suggesting modulation by changes in subtropical and extratropical atmospheric circulation. This comprehensive characterization of dry day climatology and variability provides crucial insights for water resource management and climate change adaptation in central Chile and similar Mediterranean regions worldwide. Our findings highlight the importance of considering dry day frequency in drought assessment and water planning, contributing to a more nuanced understanding of precipitation patterns in Mediterranean climates.
C1 [Latoja, Daniela; Godoy-Faundez, Alex; Rivera, Diego] Univ Desarrollo, Fac Ingn, Ave Plaza 680, Santiago, Chile.
   [Lillo-Saavedra, Mario] Univ Concepcion, Fac Ingn Agr, Vicente Mendez 595, Chillan, Chile.
   [Gonzalo-Martin, Consuelo] Univ Politecn Madrid, Comp Sch, Madrid 28660, Spain.
   [Somos-Valenzuela, Marcelo] Univ La Frontera, Fac Ciencias Agr & Medioambiente, Ave Francisco Salazar, Temuco 01145, Chile.
C3 Universidad del Desarrollo; Universidad de Concepcion; Universidad
   Politecnica de Madrid; Universidad de La Frontera
RP Rivera, D (corresponding author), Univ Desarrollo, Fac Ingn, Ave Plaza 680, Santiago, Chile.
EM diegorivera@udd.cl
RI Rivera, Diego/D-5092-2016
OI Rivera, Diego/0000-0003-0916-1540
FU Agencia Nacional de Investigacin y Desarrollo [1230520,
   ANID/FONDAP/15130015, ANID/FONDAP/1523A0001, ACT210080]; FONDECYT
FX We thank the financial support from FONDECYT 1230520,
   ANID/FONDAP/15130015, ANID/FONDAP/1523A0001 and ACT210080. The CR2MET
   data set is available at https://www.cr2.cl/datos-productos- grillados/.
   HadiSST v1.1 was retrieved from the National Center for Atmospheric
   Research at
   https://climatedataguide.ucar.edu/climate-data/sst-data-hadisst-v11.
CR Aceituno P., 2021, World Water Resources, P7, DOI [DOI 10.1007/978-3-030-56901-3_2, 10.1007/978-3-030-56901-32, DOI 10.1007/978-3-030-56901-32]
   Aldunce P, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112053
   Anagnostopoulou C, 2003, THEOR APPL CLIMATOL, V74, P77, DOI 10.1007/s00704-002-0713-5
   Rivera JA, 2013, INT J CLIMATOL, V33, P834, DOI 10.1002/joc.3472
   Apurv T, 2017, WATER RESOUR RES, V53, P9304, DOI 10.1002/2017WR021445
   Arias PA, 2021, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.505467
   Barrett BS, 2017, J CLIMATE, V30, P55, DOI [10.1175/jcli-d-16-0019.1, 10.1175/JCLI-D-16-0019.1]
   Barría P, 2019, ELEMENTA-SCI ANTHROP, V7, DOI 10.1525/elementa.340
   Bartolini G, 2022, INT J CLIMATOL, V42, P1670, DOI 10.1002/joc.7327
   Boisier JP., 2018, EGU General Assembly Conference Abstracts, P19739
   Boisier JP., 2024, EGUsphere, V2024, P1
   Boisier Juan P, 2023, Zenodo, DOI 10.5281/ZENODO.7529682
   Boisier JP, 2018, ELEMENTA-SCI ANTHROP, V6, DOI 10.1525/elementa.328
   Boisier JP, 2016, GEOPHYS RES LETT, V43, P413, DOI 10.1002/2015GL067265
   Boschat G, 2016, SCI REP-UK, V6, DOI 10.1038/srep29599
   Burger F, 2018, GLOBAL PLANET CHANGE, V162, P136, DOI 10.1016/j.gloplacha.2018.01.005
   Cai W, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024701
   Cai WJ, 2020, NAT REV EARTH ENV, V1, P215, DOI 10.1038/s43017-020-0040-3
   Campitelli E, 2022, CLIM DYNAM, V58, P161, DOI 10.1007/s00382-021-05896-5
   CANE MA, 1983, SCIENCE, V222, P1189, DOI 10.1126/science.222.4629.1189
   Catto JL, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051736
   Chen D, 2018, CLIM DYNAM, V50, P3625, DOI 10.1007/s00382-017-3830-7
   Cindric K, 2010, THEOR APPL CLIMATOL, V102, P171, DOI 10.1007/s00704-010-0250-6
   Dätwyler C, 2018, CLIM DYNAM, V51, P2321, DOI 10.1007/s00382-017-4015-0
   Dogar MM, 2020, Study of the regional climatic impacts of tropical explosive volcanism in the middle east and north africa region
   Dogar MM, 2024, GEOPHYS RES LETT, V51, DOI 10.1029/2023GL106114
   Dogar MM, 2019, J GEOPHYS RES-ATMOS, V124, P7580, DOI 10.1029/2019JD030358
   Dogar MM, 2019, GLOBAL PLANET CHANGE, V172, P223, DOI 10.1016/j.gloplacha.2018.10.004
   Dogar MM, 2017, J GEOPHYS RES-ATMOS, V122, P7922, DOI 10.1002/2017JD026783
   Dogar MM, 2017, J EARTH SYST SCI, V126, DOI 10.1007/s12040-017-0804-4
   Dogar MMA, 2022, ATMOS ENVIRON, V270, DOI 10.1016/j.atmosenv.2021.118866
   Dommenget D, 2002, J CLIMATE, V15, P216, DOI 10.1175/1520-0442(2002)015<0216:ACNOTI>2.0.CO;2
   England MR, 2016, GEOPHYS RES LETT, V43, P8207, DOI 10.1002/2016GL070055
   Fernández A, 2018, HYDROL EARTH SYST SC, V22, P2921, DOI 10.5194/hess-22-2921-2018
   Fogt RL, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.652
   Fogt RL, 2014, J CLIMATE, V27, P9383, DOI 10.1175/JCLI-D-13-00657.1
   Fogt RL, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017337
   Franzke CLE, 2015, NONLINEAR PROC GEOPH, V22, P513, DOI 10.5194/npg-22-513-2015
   Fuentealba M, 2021, J HYDROL-REG STUD, V38, DOI 10.1016/j.ejrh.2021.100952
   Garreaud R, 2016, J HYDROMETEOROL, V17, P1185, DOI 10.1175/JHM-D-15-0170.1
   Garreaud R. D., 2009, Advances in Geosciences, V22, P3, DOI DOI 10.5194/ADGEO-22-3-2009
   Garreaud RD, 2021, J CLIMATE, V34, P7661, DOI 10.1175/JCLI-D-20-0886.1
   Garreaud RD, 2020, INT J CLIMATOL, V40, P421, DOI 10.1002/joc.6219
   Garreaud RD, 2017, HYDROL EARTH SYST SC, V21, P6307, DOI 10.5194/hess-21-6307-2017
   Garreaud RD, 2009, PALAEOGEOGR PALAEOCL, V281, P180, DOI 10.1016/j.palaeo.2007.10.032
   Giorgi F, 2019, EARTH SYST DYNAM, V10, P73, DOI 10.5194/esd-10-73-2019
   González ME, 2018, ECOSPHERE, V9, DOI 10.1002/ecs2.2300
   Goyal R, 2022, J CLIMATE, V35, P5137, DOI 10.1175/JCLI-D-21-0927.1
   Grise KM, 2019, J CLIMATE, V32, P1551, DOI 10.1175/JCLI-D-18-0444.1
   Hall A, 2002, J CLIMATE, V15, P3043, DOI 10.1175/1520-0442(2002)015<3043:SVITSH>2.0.CO;2
   Hamed KH, 1998, J HYDROL, V204, P182, DOI 10.1016/S0022-1694(97)00125-X
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Hettiarachchi S, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002392
   Hitt NT, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-22184-2
   Ho M, 2012, HYDROL EARTH SYST SC, V16, P967, DOI 10.5194/hess-16-967-2012
   Hosking JS, 2016, GEOPHYS RES LETT, V43, P367, DOI 10.1002/2015GL067143
   Hosking JS, 2013, J CLIMATE, V26, P6633, DOI 10.1175/JCLI-D-12-00813.1
   Hoskins BJ, 2005, J CLIMATE, V18, P4108, DOI 10.1175/JCLI3570.1
   Jacques-Coper M, 2015, INT J CLIMATOL, V35, P2164, DOI 10.1002/joc.4120
   Jolliffe I.T., 1986, Principal component analysis, VSecond
   Jolliffe IT, 2003, J CLIMATE, V16, P1084, DOI 10.1175/1520-0442(2003)016<1084:ACNOAE>2.0.CO;2
   Kane RP, 1999, J ATMOS SOL-TERR PHY, V61, P1325, DOI 10.1016/S1364-6826(99)00087-5
   Lagos-Zúñiga M, 2024, CLIM DYNAM, DOI 10.1007/s00382-024-07127-z
   Li JD, 2022, NAT CLIM CHANGE, V12, P901, DOI 10.1038/s41558-022-01473-8
   Ma SM, 2015, J CLIMATE, V28, P6960, DOI 10.1175/JCLI-D-15-0011.1
   Marinovic I, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12050652
   Marshall GJ, 2003, J CLIMATE, V16, P4134, DOI 10.1175/1520-0442(2003)016<4134:TITSAM>2.0.CO;2
   Martínez-Retureta R, 2021, WATER-SUI, V13, DOI 10.3390/w13060794
   [Masson-Delmotte V. IPCC IPCC], 2021, Summary for Policy Makers
   McCarthy M, 2022, EARTHS FUTURE, V10, DOI 10.1029/2022EF002852
   Meza FJ, 2008, J APPL METEOROL CLIM, V47, P1269, DOI 10.1175/2007JAMC1540.1
   Meza FJ, 2012, J WATER RES PLAN MAN, V138, P421, DOI 10.1061/(ASCE)WR.1943-5452.0000216
   Ministerio del Medio Ambiente C, 2020, Informe del estado del medio ambiente
   Montecinos A, 2003, J CLIMATE, V16, P281, DOI 10.1175/1520-0442(2003)016<0281:SOTERR>2.0.CO;2
   Montecinos A, 2000, J CLIMATE, V13, P746, DOI 10.1175/1520-0442(2000)013<0746:SDAPOR>2.0.CO;2
   Montecinos A, 2011, THEOR APPL CLIMATOL, V106, P557, DOI 10.1007/s00704-011-0457-1
   Motamedi A, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-30040-0
   Muñoz AA, 2020, WATER-SUI, V12, DOI 10.3390/w12030648
   Núñez J, 2014, J HYDROL, V517, P458, DOI 10.1016/j.jhydrol.2014.05.038
   Núñez J, 2013, J HYDROL, V501, P227, DOI 10.1016/j.jhydrol.2013.07.035
   O'Connor GK, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2021GL095999
   Paik S, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acd5e6
   Peña-Guerrero MD, 2020, HYDROLOG SCI J, V65, P1005, DOI 10.1080/02626667.2020.1711911
   Pica-Tellez A., 2020, Informe proyecto arclim: Atlas de riesgos climaticos para chile
   Pierce DW, 2013, J CLIMATE, V26, P5879, DOI 10.1175/JCLI-D-12-00766.1
   Polade SD, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-11285-y
   Polade SD, 2014, SCI REP-UK, V4, DOI 10.1038/srep04364
   Power S, 2021, SCIENCE, V374, P48, DOI 10.1126/science.aay9165
   Qu TD, 2019, J GEOPHYS RES-OCEANS, V124, P154, DOI 10.1029/2018JC014391
   Quintana JM, 2012, ATMOSFERA, V25, P1
   Ratan R, 2013, WATER RESOUR RES, V49, P3830, DOI 10.1002/wrcr.20275
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   Renwick JA, 2005, MON WEATHER REV, V133, P977, DOI 10.1175/MWR2900.1
   Roemmich D, 2007, J PHYS OCEANOGR, V37, P162, DOI 10.1175/JPO3004.1
   Rubio-Alvarez E, 2010, WATER RESOUR RES, V46, DOI 10.1029/2009WR007982
   RUTLLANT J, 1991, INT J CLIMATOL, V11, P63, DOI 10.1002/joc.3370110105
   Sangüesa C, 2018, WATER-SUI, V10, DOI 10.3390/w10020112
   Sarricolea P, 2019, ATMOS RES, V215, P85, DOI 10.1016/j.atmosres.2018.09.005
   Sarricolea P, 2017, J MAPS, V13, P66, DOI 10.1080/17445647.2016.1259592
   Schneider DP, 2015, J CLIMATE, V28, P9350, DOI 10.1175/JCLI-D-15-0090.1
   Seager R, 2019, J CLIMATE, V32, P2887, DOI 10.1175/JCLI-D-18-0472.1
   Tabari H, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae09c
   Turner J, 2013, INT J CLIMATOL, V33, P1818, DOI 10.1002/joc.3558
   Valdés-Pineda R, 2018, J HYDROL, V556, P1153, DOI 10.1016/j.jhydrol.2017.01.031
   Valdés-Pineda R, 2016, INT J CLIMATOL, V36, P2979, DOI 10.1002/joc.4532
   Van Loon AF, 2015, J HYDROL, V526, P3, DOI 10.1016/j.jhydrol.2014.10.059
   Viale M, 2015, J GEOPHYS RES-ATMOS, V120, P4962, DOI 10.1002/2014JD023014
   Wainwright CM, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2021GL097231
   Wang XY, 2022, GEOHEALTH, V6, DOI 10.1029/2022GH000611
   Wetterhall F, 2015, HYDROL EARTH SYST SC, V19, P2577, DOI 10.5194/hess-19-2577-2015
   Wilks D. S., 2011, Statistical methods in the atmospheric sciences, V100
   Wilks D.S., 2005, Statistical Methods in the Atmospheric Sciences
   Wu LX, 2012, NAT CLIM CHANGE, V2, P161, DOI 10.1038/NCLIMATE1353
   Yang H, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2019GL085868
   Zambrano F, 2017, ATMOS RES, V186, P26, DOI 10.1016/j.atmosres.2016.11.006
   Zambrano-Bigiarini M, 2017, HYDROL EARTH SYST SC, V21, P1295, DOI 10.5194/hess-21-1295-2017
   Zilberman NV, 2014, J GEOPHYS RES-OCEANS, V119, P2658, DOI 10.1002/2013JC009688
   Zolina O, 2013, J CLIMATE, V26, P2022, DOI 10.1175/JCLI-D-11-00498.1
NR 118
TC 0
Z9 0
U1 1
U2 1
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 NOV 21
PY 2024
DI 10.1007/s41748-024-00526-6
EA NOV 2024
PG 18
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA M8X5O
UT WOS:001360308400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Zhong, Y
   Li, YQ
AF Zhong, Yan
   Li, Yunqi
TI Statistical Evaluation of Sustainable Urban Planning: Integrating
   Renewable Energy Sources, Energy-Efficient Buildings, and Climate
   Resilience Measures
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Forecasting; Hybrid techniques; Bus sensitivity ratio; Generator
   sensitivity ratio; Climate changes
ID MANAGEMENT; SYSTEM
AB In the face of increasing climate-related challenges, sustainable urban energy networks must grapple with transmission congestion in deregulated power systems. This study introduces a novel statistical approach that synergizes two powerful methodologies for evaluating and managing urban energy networks: the integration of photovoltaic (PV) renewable energy sources and Gated Recurrent Unit (GRU)-based PV forecasting. By combining evolutionary optimization techniques with GRU forecasting, we aim to bolster the sustainability and reliability of urban energy networks while addressing climate change adaptation. In this study, we employ statistical methods, including generator sensitivity ratios and bus sensitivity ratios (BSR), to pinpoint optimal locations for PV power integration within urban networks. The Lion Optimization Algorithm (LOA), an evolutionary optimization method, is employed within a digital twin framework to optimize active power rescheduling values and congestion prices. The incorporation of GRU-based PV forecasting enhances the precision and resilience of our energy management approach. Through extensive simulations conducted on the New England 39-bus system, our findings reveal that the combination of the LOA method and GRU forecasting outperforms traditional optimization techniques such as the Ant Lion Optimizer (ALO) and Particle Swarm Optimization (PSO). This dual-optimization strategy leads to significantly reduced active power rescheduling values and congestion prices, underlining the potential of our statistical model to effectively manage congestion in transmission lines within sustainable urban energy networks. In the context of integrating renewable PV sources and adapting urban energy infrastructure to climate change impacts, the synergy of evolutionary optimization and GRU-based forecasting offers a robust pathway to enhance sustainability and reliability in urban energy networks.
C1 [Zhong, Yan; Li, Yunqi] Fuzhou Univ Int Studies & Trade, Gucuo Cultural Res Ctr, Fuzhou 350000, Peoples R China.
RP Zhong, Y (corresponding author), Fuzhou Univ Int Studies & Trade, Gucuo Cultural Res Ctr, Fuzhou 350000, Peoples R China.
EM zhongyan@fzfu.edu.cn
CR Abrahamsson P, 2013, INT CONF CLOUD COMP, P170, DOI 10.1109/CloudCom.2013.121
   Ahmad F, 2017, SUSTAIN CITIES SOC, V35, P552, DOI 10.1016/j.scs.2017.09.008
   Bhardwaj KK, 2022, SUSTAIN CITIES SOC, V79, DOI 10.1016/j.scs.2022.103712
   da Silva AML, 2006, IEEE T POWER SYST, V21, P1557, DOI 10.1109/TPWRS.2006.883672
   Dvoracek J, 2022, INT SCI CONF ELECTR, P125, DOI 10.1109/EPE54603.2022.9814135
   Esapour K, 2023, IET GENER TRANSM DIS, V17, P655, DOI 10.1049/gtd2.12500
   Fang RS, 1999, IEEE T POWER SYST, V14, P877, DOI 10.1109/59.780898
   Fu R, 2016, 2016 31ST YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), P324, DOI 10.1109/YAC.2016.7804912
   Jha N, 2021, COMPUT ELECTR ENG, V96, DOI 10.1016/j.compeleceng.2021.107479
   Li C, 2020, APPL ENERG, V266, DOI 10.1016/j.apenergy.2020.114850
   Li Fen, 2022, 2021 International Conference on Big Data Analytics for Cyber-Physical System in Smart City. Lecture Notes on Data Engineering and Communications Technologies (102), P991, DOI 10.1007/978-981-16-7466-2_110
   Mondal S, 2020, IEEE OPEN J COMM SOC, V1, P226, DOI 10.1109/OJCOMS.2020.2971613
   Nazir A, 2023, RESULTS ENG, V17, DOI 10.1016/j.rineng.2023.100888
   Pryor SC, 2010, RENEW SUST ENERG REV, V14, P430, DOI 10.1016/j.rser.2009.07.028
   Qureshi KN, 2021, SUSTAIN CITIES SOC, V71, DOI 10.1016/j.scs.2021.102990
   Russo MA, 2022, SUSTAIN ENERGY TECHN, V52, DOI 10.1016/j.seta.2022.102283
   Saqib MA, 2015, RENEW SUST ENERG REV, V43, P51, DOI 10.1016/j.rser.2014.11.035
   Selvi M, 2020, SOFT COMPUT, V24, P10415, DOI 10.1007/s00500-019-04545-8
   Sigalo M.B., 2023, Energy management of grid-connected microgrids, incorporating battery energy storage and CHP systems using mixed integer linear programming
   Takano H., 2020, FRONTIER APPL NATURE, P967
   Tian Z, 2023, ENERG BUILDINGS, V286, DOI 10.1016/j.enbuild.2023.112931
   Wang BY, 2019, IEEE T IND APPL, V55, P7300, DOI 10.1109/TIA.2019.2919820
   Watrobski J, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103926
   Xu JP, 2018, SUSTAIN CITIES SOC, V40, P335, DOI 10.1016/j.scs.2017.12.010
   Yigit K, 2018, SUSTAIN CITIES SOC, V40, P126, DOI 10.1016/j.scs.2018.04.004
   Zhang X, 2022, APPL ENERG, V327, DOI 10.1016/j.apenergy.2022.120144
NR 26
TC 2
Z9 2
U1 10
U2 25
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 FEB
PY 2024
VL 101
AR 105160
DI 10.1016/j.scs.2023.105160
EA JAN 2024
PG 11
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 IL5T9
UT WOS:001166502000001
DA 2025-01-10
ER

PT J
AU Goli, I
   Azadi, H
   Najafabadi, MO
   Lashgarara, F
   Viira, AH
   Kurban, A
   Sklenicka, P
   Janeckova, K
   Witlox, F
AF Goli, Imaneh
   Azadi, Hossein
   Najafabadi, Maryam Omidi
   Lashgarara, Farhad
   Viira, Ants-Hannes
   Kurban, Alishir
   Sklenicka, Petr
   Janeckova, Kristina
   Witlox, Frank
TI Are adaptation strategies to climate change gender neutral? Lessons
   learned from paddy farmers in Northern Iran
SO LAND USE POLICY
LA English
DT Article
DE Climate change adaptation (CCA); Gender; Sustainable livelihood
   framework (SLF); Vulnerability; Adaptation strategies (AS); Livelihood
   assets
ID PRO-ENVIRONMENTAL BEHAVIOR; RURAL HOUSEHOLDS; VULNERABILITY;
   LIVELIHOODS; DROUGHT; FRAMEWORK; BARRIERS; MODEL
AB Adopting a qualitative approach, this study performs a gender analysis of the climate change effects on rice farmers' adaptation strategies (AS) in Mazandaran Province (northern Iran) based on the sustainable livelihood approach. For this purpose, 36 male and female heads of households in Arab Mahalla and Qajar Khel villages and 10 heads of households in Kiasar village (in Mazandaran Province) were selected and studied through theoretical and purposeful sampling methods of Corbin and Strauss. These villages have the highest number of female household heads and have been severely affected by the climate crisis in recent years. For the male-headed households (n = 23), the most important climate crisis was drought (f=16), and for the female-headed house-holds (n = 23), drought, cold, and early off-season frost and monsoon storms were the most important (f=13). The results also indicated that in climatic crises, human (X?=12.35) and social (X?=13) capital from the women's perspective and financial (X?=12.5) and physical (X?=13) capital from the men's perspective had the highest vulnerability percentages whereas natural capital was equally affected from both the men's and women's viewpoints. One of the innovative aspects of this study is the gender analysis of the impact of climate change on the AS of sustainable livelihood framework based on a qualitative approach. This study recommends that beyond increasing the diversity of living amid climate change, deliberate climate change efforts should be directed at women and that fundamental gender discrimination such as prejudices and gender inequality should be eliminated.
C1 [Goli, Imaneh; Najafabadi, Maryam Omidi; Lashgarara, Farhad] Islamic Azad Univ, Dept Econ Agr Extens & Educ, Sci & Res Branch, Tehran, Iran.
   [Azadi, Hossein; Witlox, Frank] Univ Ghent, Dept Geog, Ghent, Belgium.
   [Azadi, Hossein; Sklenicka, Petr; Janeckova, Kristina] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic.
   [Azadi, Hossein; Kurban, Alishir] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China.
   [Viira, Ants-Hannes] Estonian Univ Life Sci, Inst Agr & Environm Sci, Chair Rural Econ, Tartu, Estonia.
   [Kurban, Alishir] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, 818 South Beijing Rd, Urumqi 830011, Xinjiang, Peoples R China.
   [Kurban, Alishir] Sino Belgian Joint Lab Geoinformat, Urumqi 830011, Xinjiang, Peoples R China.
   [Kurban, Alishir] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Islamic Azad University; Ghent University; Czech University of Life
   Sciences Prague; Chinese Academy of Sciences; Xinjiang Institute of
   Ecology & Geography, CAS; Estonian University of Life Sciences; Chinese
   Academy of Sciences; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Najafabadi, MO (corresponding author), Islamic Azad Univ, Dept Econ Agr Extens & Educ, Sci & Res Branch, Tehran, Iran.; Azadi, H (corresponding author), Univ Ghent, Dept Geog, Ghent, Belgium.
EM hossein.azadi@ugent.be; m.omidi@srbiau.ac.ir
RI Azadi, Hossein/E-2361-2011; Kurban, Alishir/AGK-9193-2022; Goli,
   Imaneh/ABI-4781-2020; Omidi Najafabadi, Maryam/AAU-1669-2021; Witlox,
   Frank/A-5143-2008; Sklenicka, Petr/B-9774-2012; Janeckova Molnarova,
   Kristina/M-4699-2017
OI Witlox, Frank/0000-0002-8966-6823; Kurban, Alishir/0000-0001-9387-8127;
   Viira, Ants-Hannes/0000-0002-4672-3816; Sklenicka,
   Petr/0000-0001-9778-9674; Janeckova Molnarova,
   Kristina/0000-0002-0017-5367
CR Abbay AG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010068
   Ahmed Z, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105295
   Akinbami CAO, 2016, CLIM CHANG MANAG, P49, DOI 10.1007/978-3-319-39880-8_4
   Alam GMM, 2017, ENVIRON MANAGE, V59, P777, DOI 10.1007/s00267-017-0826-3
   Amirkhani S., 2010, 3 C AGR EXT NAT RES, P107
   Amoah LNA, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.692185
   Ampaire EL, 2020, CLIMATIC CHANGE, V158, P43, DOI 10.1007/s10584-019-02447-0
   Anugwa IQ, 2020, FOOD SECUR, V12, P1065, DOI 10.1007/s12571-020-01042-x
   Anwar M, 2017, COMPUT HUM BEHAV, V69, P437, DOI 10.1016/j.chb.2016.12.040
   Asfaw A, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06761
   Asheber S, 2010, MITIGATING DROUGHT P
   Asian Development Bank, 2017, DEC RUR INFR LIV PRO
   Atuoye KN, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105154
   Azadi H, 2021, J CLEAN PROD, V319, DOI 10.1016/j.jclepro.2021.128602
   Azizi-Khalkheili T., 2015, J APPL SOC, V56
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Belova N, 2015, INT J SCI MATH EDUC, V13, pS165
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Bernard R.H., 2012, SOCIAL RES METHODS Q, V2nd
   Bhadwal S, 2019, ENVIRON DEV, V31, P68, DOI 10.1016/j.envdev.2019.04.008
   Boafo Y.A., 2020, SUSTAINABILITY CHALL, P191, DOI DOI 10.1007/978-981-15-4458-3_6
   Buechler S., 2009, Gender and Development, V17, P51, DOI 10.1080/13552070802696912
   Bullock R., 2020, The CCAFS Youth and Climate-Smart Agriculture (CSA) Strategy
   Butler AE, 2018, COLLEGIAN, V25, P561, DOI 10.1016/j.colegn.2018.01.002
   Bynoe, 2009, ANN REV SEMINAR RES
   Cannon Terry., 2002, GENDER DEV, V10, P45, DOI [DOI 10.1080/13552070215906, https://doi.org/10.1080/13552070215906]
   Corbin J., 2008, BASICS QUALITATIVE R, V3rd ed., DOI [DOI 10.4135/9781452230153, 10.4135/9781452230153]
   Craig CA, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104110
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Douglas D., 2003, MANAGE RES NEWS, V26, P44, DOI DOI 10.1108/01409170310783466
   Esfandiari M, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104628
   FAO, 2015, WOM FEED WORLD
   Faramarzi M., 2010, ASSESSMENT REGIONAL
   Fletcher AJ, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01645-2
   Fukuyama H, 2018, EMPIR ECON, V54, P379, DOI 10.1007/s00181-016-1202-5
   Gandornani TJ, 2016, COMPUT HUM BEHAV, V62, P257, DOI 10.1016/j.chb.2016.04.009
   Ghanian M, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104553
   Goli, 2022, VILLAGE DEV, V24, P4
   Goli I, 2020, J AGR ENVIRON ETHIC, V33, P187, DOI 10.1007/s10806-020-09822-3
   Goodwin N.R., 2003, Five Kinds of Capital: Useful Concepts for Sustainable Development
   Gray C, 2012, WORLD DEV, V40, P134, DOI 10.1016/j.worlddev.2011.05.023
   Hang L, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9173602
   Hippe R, 2017, INVESTIG HIST ECON, V13, P166, DOI 10.1016/j.ihe.2017.02.001
   Hoddinott J., 2000, ADULT HLTH TIME DROU, DOI [10.22004/ag.econ.16431, DOI 10.22004/AG.ECON.16431]
   Huang WJ, 2021, SCI TOTAL ENVIRON, V768, DOI 10.1016/j.scitotenv.2021.145482
   Huang ZW, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146973
   Iran Meteorological Organization, 2018, US
   Iran Statistics Center, 2018, US
   Jome Poor M., 2012, J TOUR MANAG STUD, V7, P87
   Jungehulsing J., 2010, WOMEN WHO GO WOMEN W
   Kartiki K., 2011, Gender and Development, V19, P23, DOI 10.1080/13552074.2011.554017
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Keshavarz M, 2016, J ARID ENVIRON, V127, P128, DOI 10.1016/j.jaridenv.2015.11.010
   Keshavarz M, 2014, J ARID ENVIRON, V108, P43, DOI 10.1016/j.jaridenv.2014.03.006
   Khalil MB, 2021, INT J DISAST RISK RE, V66, DOI 10.1016/j.ijdrr.2021.102601
   Khanian M, 2018, WEATHER CLIM EXTREME, V21, P52, DOI 10.1016/j.wace.2018.05.006
   Khazaeian Somayyeh, 2017, Electron Physician, V9, P6027, DOI 10.19082/6027
   Kibria G., 2016, CLIMATE CHANGE IMPLI, DOI [10.13140/RG.2.1.2577.9683, DOI 10.13140/RG.2.1.2577.9683]
   Lahsayizade A., 2007, J SOCIAL SCI SOCIOLO, V12, P28
   Lawson ET, 2020, GEOJOURNAL, V85, P439, DOI 10.1007/s10708-019-09974-4
   Leal W, 2019, SCI TOTAL ENVIRON, V692, P1175, DOI 10.1016/j.scitotenv.2019.07.227
   Lebni JY, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-08752-z
   Li LF, 2019, J CLEAN PROD, V217, P216, DOI 10.1016/j.jclepro.2019.01.162
   Liu MH, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134621
   Phan LT, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051257
   Lowndes VivienMark Roberts., 2013, Why Institutions Matter
   Madani K., 2014, J ENVIRON STUD SCI, V4, P315, DOI [10.1007/s13412-014-0182-z, DOI 10.1007/S13412-014-0182-Z]
   Nhuan MT, 2016, URBAN CLIM, V15, P60, DOI 10.1016/j.uclim.2016.01.002
   Majd SE, 2019, J AGR SCI TECH-IRAN, V21, P1691
   Mamipour S, 2019, ECOL INDIC, V102, P760, DOI 10.1016/j.ecolind.2019.03.039
   Mazandaran Agricultural Jihad Organization, 2018, RES DOC
   Mazandaran Provincial Meteorological Office, 2019, US
   Mbiba M, 2019, J RURAL STUD, V65, P12, DOI 10.1016/j.jrurstud.2018.12.012
   McElwee P, 2017, NAT HAZARDS, V86, P465, DOI 10.1007/s11069-016-2701-6
   Mersha AA, 2016, REG ENVIRON CHANGE, V16, P1701, DOI 10.1007/s10113-015-0921-z
   Meteorological Organization of Iran, 2018, US
   Miner KN, 2018, IND ORGAN PSYCHOL-US, V11, P267, DOI 10.1017/iop.2018.7
   Mohajan Haradhan Kumar, 2018, Journal of Economic Development. Environment and People, V1, P23, DOI [10.26458/jedep.v7i1.571, 10.26458/jedepx/1.571, DOI 10.26458/JEDEPX/1.571, DOI 10.26458/JEDEP.V7I1.571]
   Mondal M.S., 2013, American Journal of Climate Change, V2, P62, DOI DOI 10.4236/AJCC.2013.21007
   Morse JM, 2015, QUAL HEALTH RES, V25, P587, DOI 10.1177/1049732315576699
   Morse S., 2009, Sustainable livelihood approach: A critical analysis of theory and practice
   Mosavi SH, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106332
   Moser CON, 1998, WORLD DEV, V26, P1, DOI 10.1016/S0305-750X(97)10015-8
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   Naderi N, 2022, J SOC ENTREP, V13, P221, DOI 10.1080/19420676.2020.1765409
   Njoh AJ, 2018, LAND USE POLICY, V78, P116, DOI 10.1016/j.landusepol.2018.06.038
   Noble Helen, 2016, Evid Based Nurs, V19, P34, DOI 10.1136/eb-2016-102306
   Nong HTT, 2020, INT J SOC ECON, V47, P953, DOI 10.1108/IJSE-09-2019-0534
   Omolo N., 2019, INT J CLIM CHANGE ST
   Owusu M., 2017, THESIS, DOI [10.4225/55/5926224c50cd8, DOI 10.4225/55/5926224C50CD8]
   Patton M.Q., 2002, QUALITATIVE RES EVAL, V3rd, P230
   Rahimi-Feyzabad F, 2021, HYDROGEOL J, V29, P925, DOI 10.1007/s10040-020-02283-y
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Rezaei M., 2007, AGR SCI, V1, P15
   Richards KAR, 2018, J TEACH PHYS EDUC, V37, P225, DOI 10.1123/jtpe.2017-0084
   Ruiz-Mallén I, 2017, CLIMATIC CHANGE, V140, P227, DOI 10.1007/s10584-016-1831-x
   Sarker MNI, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061623
   Saunders B, 2018, QUAL QUANT, V52, P1893, DOI 10.1007/s11135-017-0574-8
   Schwandt T. A., 2007, New Dir Eval, P11, DOI DOI 10.1002/EV.223
   Serrat O, 2017, SUSTAINABLE LIVELIHO, DOI [DOI 10.1007/978-981-10-0983-9_5, 10.1007/978-981-10-0983-9_5]
   Shaw R., 2008, DROUGHT MANAGEMENT C
   Sojasi Qeidari H., 2013, J RUR DEV, V2, P85
   Strauss AL., 1990, Basics of qualitative research: grounded theory procedures and techniques, V2
   Thaler T, 2019, SCI TOTAL ENVIRON, V650, P1073, DOI 10.1016/j.scitotenv.2018.08.306
   Ubisi N.R., 2017, CHANGE ADAPT SOCIO E, V3, P1
   UNDP, 2017, STRENGTH LIV ENV ACT
   Varela-Candamio L, 2018, J CLEAN PROD, V183, P555, DOI 10.1016/j.jclepro.2018.02.109
   Vicente-Molina MA, 2018, J CLEAN PROD, V176, P89, DOI 10.1016/j.jclepro.2017.12.079
   World Bank, 2009, SOC DEV CONC NOT
   Yuniarti D., 2017, JEJAK, V10, P223
   Zhang CJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041150
   Zia A.M., 2004, EFFECT LOW TEMPERATU
NR 112
TC 9
Z9 9
U1 3
U2 28
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 FEB
PY 2023
VL 125
AR 106470
DI 10.1016/j.landusepol.2022.106470
EA NOV 2022
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 6U2SI
UT WOS:000894218500008
DA 2025-01-10
ER

PT J
AU Liu, T
   Shryane, N
   Elliot, M
AF Liu, Ting
   Shryane, Nick
   Elliot, Mark
TI Attitudes to climate change risk: classification of and transitions in
   the UK population between 2012 and 2020
SO HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
LA English
DT Article
ID PERCEIVED SCIENTIFIC AGREEMENT; WILLINGNESS-TO-PAY; ENVIRONMENTAL
   CONCERN; UNITED-STATES; POLITICAL ORIENTATION; PUBLIC PERCEPTIONS;
   GOVERNMENT ACTION; CHANGE BELIEFS; K-MEANS; SKEPTICISM
AB Strategies for achieving carbon emissions goals presuppose changes in individual behaviour, which can be indirectly nudged by interventions or tailored information but ultimately depend upon individual attitudes. Specifically, the perception that climate change is low risk has been identified as a barrier to participation in climate change adaptation and mitigation efforts. Therefore, understanding public attitudes towards climate change risk is an important element of reducing emissions. We applied k-means cluster analysis to explore attitudes to climate change risk in the UK population using data from the UK Household Longitudinal Study, a national survey running from 2009 to present. We identified three distinct attitude clusters: "Sceptical", "Concerned", and "Paradoxical" in both waves 4 (from 2012 to 2014) and 10 (from 2018 to 2020) of this survey. The Sceptical cluster tended to deny the seriousness of climate change and the urgency or even the necessity of dealing with it. The Concerned cluster displayed anxiety about climate change risks and supported action to reduce them. The Paradoxical cluster acknowledged the reality of climate change impacts but did not support actions to mitigate them. We further observed statistical associations between cluster membership and the social characteristics of the participants, including sex, age, income, education, and political affiliation. We also found a temporal stability of cluster structure between the two waves. However, the transition matrices indicated a general transition away from the Sceptical and Paradoxical clusters, and toward the Concerned cluster between wave 4 to wave 10. The findings suggest that more tailored public information campaigns regarding climate change risk may be necessary.
C1 [Liu, Ting; Shryane, Nick; Elliot, Mark] Univ Manchester, Sch Social Sci, Cathie Marsh Inst Social Res, Manchester, Lancs, England.
C3 University of Manchester
RP Liu, T (corresponding author), Univ Manchester, Sch Social Sci, Cathie Marsh Inst Social Res, Manchester, Lancs, England.
EM ting.liu@manchester.ac.uk
RI Shryane, Nick/HDN-5151-2022
OI Liu, Ting/0000-0002-4035-8969; Elliot, Mark/0000-0002-3142-4493
FU Economic and Social Research Council [ES/P000665/1]; ESRC [2285819]
   Funding Source: UKRI
FX This project was supported by the Economic and Social Research Council
   [Grant reference number: ES/P000665/1].
CR Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Althaus SL, 2009, POLIT COMMUN, V26, P249, DOI 10.1080/10584600903053361
   Andor MA, 2018, ECOL ECON, V148, P178, DOI 10.1016/j.ecolecon.2018.01.018
   [Anonymous], 1981, Motivation and personality.
   [Anonymous], 2005, SLEEPWALKING DISASTE
   [Anonymous], 2008, A Framework for Proenvironmental Behaviours
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Ashworth P., 2011, Communication and climate change: What the Australian public thinks. National Research Flagships: Energy Transformed
   Ballew MT, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102024
   Bauer DJ, 2004, PSYCHOL METHODS, V9, P3, DOI 10.1037/1082-989X.9.1.3
   Boag AE, 2016, POPUL ENVIRON, V38, P207, DOI 10.1007/s11111-016-0261-z
   Bohr J, 2014, CLIMATIC CHANGE, V126, P217, DOI 10.1007/s10584-014-1198-9
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Clements B, 2012, BRIT POLIT, V7, P183, DOI 10.1057/bp.2012.1
   Coelho F, 2017, J ENVIRON PSYCHOL, V54, P127, DOI 10.1016/j.jenvp.2017.10.008
   Crawley S, 2020, BRIT J POLIT INT REL, V22, P102, DOI 10.1177/1369148119888827
   Davidson DJ, 2012, POPUL ENVIRON, V34, P217, DOI 10.1007/s11111-011-0156-y
   Detenber B. H., 2020, Research handbook on communicating climate change, P214, DOI [10.4337/9781789900408.00033, DOI 10.4337/9781789900408.00033]
   Diehl T, 2019, J MASS COMMUN Q, V96, P428, DOI 10.1177/1077699018783960
   Ding D, 2011, NAT CLIM CHANGE, V1, P462, DOI 10.1038/NCLIMATE1295
   Drummond C, 2017, P NATL ACAD SCI USA, V114, P9587, DOI 10.1073/pnas.1704882114
   Dunlap RE, 2013, AM BEHAV SCI, V57, P691, DOI 10.1177/0002764213477097
   Dutta-Bergman MJ, 2004, J BROADCAST ELECTRON, V48, P41, DOI 10.1207/s15506878jobem4801_3
   Ehret PJ, 2017, ENVIRON POLIT, V26, P253, DOI 10.1080/09644016.2016.1256960
   Gifford R, 2009, J ENVIRON PSYCHOL, V29, P1, DOI 10.1016/j.jenvp.2008.06.001
   Göksen F, 2002, ENVIRON BEHAV, V34, P616, DOI 10.1177/0013916502034005003
   Goldberg M., 2020, For the first time, the Alarmed are now the largest of Global Warmings Six Americas
   Gray SG, 2019, J ENVIRON MANAGE, V242, P394, DOI 10.1016/j.jenvman.2019.04.071
   Gregersen T, 2020, FRONT PSYCHOL, V11, DOI 10.3389/fpsyg.2020.01573
   Hamilton LC, 2011, CLIMATIC CHANGE, V104, P231, DOI 10.1007/s10584-010-9957-8
   Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
   Heath Y, 2006, ENVIRON BEHAV, V38, P48, DOI 10.1177/0013916505277998
   Heberlein T.A., 2013, Navigating Environmental Attitudes, V26, P1, DOI DOI 10.1093/ACPROF:OSO/9780199773329.001.0001
   Hickman C., 2021, LANCET
   Hine DW, 2014, WIRES CLIM CHANGE, V5, P441, DOI 10.1002/wcc.279
   Hoffmann R, 2017, WORLD DEV, V96, P32, DOI 10.1016/j.worlddev.2017.02.016
   Hornsey MJ, 2016, NAT CLIM CHANGE, V6, P622, DOI [10.1038/NCLIMATE2943, 10.1038/nclimate2943]
   Jarrett H., 2016, REPRESENTATION, V52, P311, DOI [https://doi.org/10.1080/00344893.2017.1301987, DOI 10.1080/00344893.2017.1301987]
   Kacha O, 2022, J ENVIRON PSYCHOL, V81, DOI 10.1016/j.jenvp.2022.101815
   Kahan D.M., 2007, J EMPIR LEGAL STUD, V4, P465, DOI [https://doi.org/10.1111/j.1740-1461.2007.00097.x, DOI 10.1111/J.1740-1461.2007.00097.X, DOI 10.4324/9781849776677]
   Kahan D. M., 2017, SSRN Electronic Journal, DOI DOI 10.2139/SSRN.2973067
   Kenward B, 2021, J SOC POLIT PSYCHOL, V9, P321, DOI 10.5964/jspp.6917
   Kerr RA, 2007, SCIENCE, V316, P1412, DOI 10.1126/science.316.5830.1412
   Kraus MW, 2012, SOC PERSONAL PSYCHOL, V6, P642, DOI 10.1111/j.1751-9004.2012.00453.x
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Leiserowitz A, 2011, GLOBAL WARMINGS 6 AM
   Leiserowitz A., 2009, GLOBAL WARMINGS 6 AM
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Maibach EW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017571
   Makles A, 2012, STATA J, V12, P347, DOI 10.1177/1536867X1201200213
   Malka A, 2009, RISK ANAL, V29, P633, DOI 10.1111/j.1539-6924.2009.01220.x
   Mayer A, 2019, CLIM POLICY, V19, P511, DOI 10.1080/14693062.2018.1532872
   McCright AM, 2014, NAT CLIM CHANGE, V4, P1077, DOI 10.1038/NCLIMATE2443
   McCright AM, 2014, WEATHER CLIM SOC, V6, P194, DOI 10.1175/WCAS-D-13-00058.1
   McCright AM, 2013, CLIMATIC CHANGE, V119, P511, DOI 10.1007/s10584-013-0704-9
   McCright AM, 2011, GLOBAL ENVIRON CHANG, V21, P1163, DOI 10.1016/j.gloenvcha.2011.06.003
   McCright AM, 2011, SOCIOL QUART, V52, P155, DOI 10.1111/j.1533-8525.2011.01198.x
   McCright AM, 2011, CLIMATIC CHANGE, V104, P243, DOI 10.1007/s10584-010-9946-y
   McCright AM, 2010, POPUL ENVIRON, V32, P66, DOI 10.1007/s11111-010-0113-1
   McEvoy J., 1972, SOCIAL BEHAV NATURAL, P214
   McLachlan G.J., 2000, WILEY SER PROB STAT, DOI 10.1002/0471721182
   McNeish W, 2017, ENVIRON POLIT, V26, P1035, DOI 10.1080/09644016.2017.1343766
   Melis G, 2014, SOC SCI QUART, V95, P905, DOI 10.1111/ssqu.12107
   Metag J, 2018, ENVIRON COMMUN, V12, P995, DOI 10.1080/17524032.2018.1521542
   Metag J, 2017, PUBLIC UNDERST SCI, V26, P434, DOI 10.1177/0963662515592558
   Milfont TL, 2016, PERS INDIV DIFFER, V90, P85, DOI 10.1016/j.paid.2015.10.044
   Milfont TL, 2015, NEW ZEAL J PSYCHOL, V44, P17
   Milfont TL, 2012, RISK ANAL, V32, P1003, DOI 10.1111/j.1539-6924.2012.01800.x
   Morris BS, 2020, HUM SOC SCI COMMUN, V7, DOI 10.1057/s41599-020-00574-z
   Myers TA, 2012, CLIMATIC CHANGE, V113, P1105, DOI 10.1007/s10584-012-0513-6
   O'Connor RE, 1999, RISK ANAL, V19, P461, DOI 10.1023/A:1007004813446
   Pahl S, 2005, J ENVIRON PSYCHOL, V25, P1, DOI 10.1016/j.jenvp.2004.12.004
   Phillips D., 2018, British Social Attitudes: The 35th Report
   Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9010.88.5.879
   Poortinga W., 2014, PUBLIC ATTITUDES NUC
   Poortinga W., 2003, PUBLIC PERCEPTIONS R
   Poortinga W, 2011, GLOBAL ENVIRON CHANG, V21, P1015, DOI 10.1016/j.gloenvcha.2011.03.001
   Poudyal NC, 2021, AMBIO, V50, P505, DOI 10.1007/s13280-020-01369-x
   Rhead R, 2018, SOC SCI RES, V74, P210, DOI 10.1016/j.ssresearch.2018.06.001
   Rosenthal S, 2022, J ENVIRON PSYCHOL, V81, DOI 10.1016/j.jenvp.2022.101796
   Rosenthal S, 2021, RESOUR CONSERV RECY, V168, DOI 10.1016/j.resconrec.2021.105430
   Roser-Renouf C., 2014, Engaging Diverse Audiences with Climate Change: Message Strategies for Global Warming's Six Americas, DOI DOI 10.2139/SSRN.2410650
   Royal Society of New Zealand, 2016, CLIMATE CHANGE IMPLI
   Schwarz A., 2008, LOKALE SCORING MODEL
   Sciullo A., 2019, POLIS ITALY, V33, P267, DOI [10.1424/94248, DOI 10.1424/94248]
   Shehata A, 2021, COMMUN RES, V48, P125, DOI 10.1177/0093650217749354
   Sibley CG, 2013, ANAL SOC ISS PUB POL, V13, P245, DOI 10.1111/asap.12008
   Slimak MW, 2006, RISK ANAL, V26, P1689, DOI 10.1111/j.1539-6924.2006.00832.x
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Smith TW, 2017, INT J SOCIOL, V47, P62, DOI 10.1080/00207659.2017.1264837
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Stokes Bruce., 2015, How Asia-Pacific Publics See Each Other and Their National Leaders
   Taber CS, 2006, AM J POLIT SCI, V50, P755, DOI 10.1111/j.1540-5907.2006.00214.x
   Taylor AL, 2014, CLIM RISK MANAG, V4-5, P1, DOI 10.1016/j.crm.2014.09.001
   Thornton A., 2011, CLIMATE CHANGE TRANS
   Tobler C, 2012, CLIMATIC CHANGE, V114, P189, DOI 10.1007/s10584-011-0393-1
   Trogrlic RS, 2021, INT J DISAST RISK RE, V58, DOI 10.1016/j.ijdrr.2021.102196
   UK Climate Change Committee, 2019, Net Zero-the UK's contribution to stopping global warming
   United Nations, 2015, C PARTIES ITS 21 SES
   van der Linden S., 2017, OXFORD ENCY CLIMATE, DOI [DOI 10.1093/ACREF/9780190498986.001.0001/ACREF-9780190498986-E-318, 10.2139/ssrn.2953631]
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   van Vugt M, 2014, SOC ISS POLICY REV, V8, P1, DOI 10.1111/sipr.12000
   VANLIERE KD, 1980, PUBLIC OPIN QUART, V44, P181
   Vara-Miguel A, 2020, MEDIA COMMUN-LISBON, V8, P16, DOI 10.17645/mac.v8i2.2733
   Vermunt JK, 2011, PSYCHOL METHODS, V16, P82, DOI 10.1037/a0020144
   Waitt G, 2012, AUST GEOGR, V43, P51, DOI 10.1080/00049182.2012.649519
   Weber EU, 2011, NAT CLIM CHANGE, V1, P25, DOI 10.1038/nclimate1070
   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
   Wonneberger A, 2020, PUBLIC UNDERST SCI, V29, P176, DOI 10.1177/0963662519886474
   Xiao CY, 2012, SOC NATUR RESOUR, V25, P1067, DOI 10.1080/08941920.2011.651191
   Zahran S, 2006, SOC NATUR RESOUR, V19, P771, DOI 10.1080/08941920600835528
NR 113
TC 13
Z9 13
U1 5
U2 25
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2662-9992
J9 HUM SOC SCI COMMUN
JI Hum. Soc. Sci. Commun.
PD AUG 18
PY 2022
VL 9
IS 1
AR 279
DI 10.1057/s41599-022-01287-1
PG 15
WC Humanities, Multidisciplinary; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Arts & Humanities - Other Topics; Social Sciences - Other Topics
GA 3W2PM
UT WOS:000842193300002
PM 35996468
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Du, J
   Greiving, S
   Yap, DLT
AF Du, Juan
   Greiving, Stefan
   Yap, David Leonides T.
TI Informal Settlement Resilience Upgrading-Approaches and Applications
   from a Cross-Country Perspective in Three Selected Metropolitan Regions
   of Southeast Asia
SO SUSTAINABILITY
LA English
DT Article
DE informal settlements; on-site upgrading; Southeast Asia; disaster risk
   mitigation; secure tenure
AB Managing climate change is synonymous to managing cities and their growth. To shoulder the challenge of climate change adaptation, informal settlement upgrading in the global south has amounted to the importance of being attuned with the growth of its city and region at large. Changing the paradigm of on-site upgrading to being community-driven and city-led with domestic funding unlocks potentials for community resilience building, especially in countries that strive for inclusive growth. This research looks into informal settlement development dynamics and its resilience stance in conjunction of the metropolitan growth in three Southeast Asian countries. Greater Manila Area, Bangkok Metropolitan Region and Hanoi Capital Region serve as the backdrop for this investigation. The research mainly addresses informal settlement upgrading roles, mechanism and approaches for resilience building in these three metropolises, meanwhile also unveiling their city-regional development needs. The methodological approach of this study is highly participatory, demonstrating a hybrid of multi-spectrum stakeholder workshops, online surveys (due to COVID), expert interviews, project interim reports and correspondence with the local expert team in the three countries, etc. The paper attempts at providing a cross-country appraisal of the central strategies of informal settlement upgrading, related institutional constellations and upgrading applications along with the three metropolises' urban development. This attempt accentuates the pressing needs of mitigating multi-facet vulnerability of informal communities, who are the most adversely affected by climate change and rampant urbanization. Further, this research will also reveal the mindset change of how decision-makers and the public contemplate upgrading objectives, e.g., recasting secure tenure instruments.
C1 [Du, Juan; Greiving, Stefan] TU Dortmund Univ, Dept Spatial Planning, D-44227 Dortmund, Germany.
   [Yap, David Leonides T.] Univ Philippines, Sch Urban & Reg Planning, Quezon City 1101, Philippines.
C3 Dortmund University of Technology; University of the Philippines System;
   University of the Philippines Diliman
RP Du, J; Greiving, S (corresponding author), TU Dortmund Univ, Dept Spatial Planning, D-44227 Dortmund, Germany.
EM juan.du@tu-dortmund.de; stefan.greiving@tu-dortmund.de; dtyap@up.edu.ph
OI Greiving, Stefan/0000-0002-6245-752X
FU German Federal Ministry of Education, and Research (BMBF) [01LE1906A]
FX This research was funded by the German Federal Ministry of Education,
   and Research (BMBF) under the project "Linking Disaster Risk Governance
   and Land use Planning: The Case of Informal Settlements in Hazard prone
   Areas in the Philippines (LIRLAP)" with grant number 01LE1906A. The
   entire project consists of five work packages: Risk trends and
   resettlement options with urban growth, Resilience Upgrading, Resilient
   Retreat, Mainstreaming Upgrading and Retreat Strategies and Capacity
   Building. The five work packages are interdependent.
CR Adarne F.I.A.., 2021, APPROACHES RESILIENC
   Anh N.T.., 2017, LIVING FLOODS MOBILE
   [Anonymous], 2015, VIETNAM AFFORDABLE H
   [Anonymous], 2019, BAAN MANKONG THAILAN
   [Anonymous], 2022, TYPH KETS
   [Anonymous], 2016, STAT PROFILE BANGKOK
   [Anonymous], 2008, GUIDELINES IDENTIFIC
   [Anonymous], 2016, CLOSING GAP AFFORDAB
   [Anonymous], 1992, REPUBLIC ACT 7279
   [Anonymous], 2016, Habitat III New Urban Agenda
   [Anonymous], 2011, PHILIPPINE DEV PLAN
   [Anonymous], 2009, C PHILIPPINES RA 100
   [Anonymous], 2015, Making Development Sustainable: The Future of Disaster Risk Management. Global Assessment Report on Disaster Risk Reduction
   [Anonymous], 2021, WORLD RISK REPORT 20
   [Anonymous], 2015, C PHILIPPINES REPUBL
   [Anonymous], 2015, Sendai Framework for Disaster Risk Reduction 20152030
   [Anonymous], 2003, SLUMS WORLD FACE URB
   [Anonymous], 2018, BANGKOK COMMUNITIES
   [Anonymous], 2021, Climate Risk Country Profile: Vietnam, DOI DOI 10.1596/36367
   [Anonymous], 1985, COMPILATION RES STUD
   [Anonymous], 2010, Climate Risks and Adaptation in Asian Coastal Megacities
   [Anonymous], 2020, BANGKOK URBAN PLANNI
   atlasofurbanexpansion, ATLAS URBAN EXPANSIO
   Baker J. L., 2017, URBAN DEV SERIES, DOI 10.1596/978-1-4648-1093-0
   Ballesteros M.M.., SOCIAL INCLUSION HOU
   Bhatkal T., 2015, Community-driven development in the slums: Thailand's experience
   Burapatana T., 2011, Journal of Population and Social Studies, V20, P25
   Burapatana T., 2007, ENV NAT RESOUR J, V5, P59
   Choi N, 2016, URBAN STUD, V53, P577, DOI 10.1177/0042098014543032
   Cipriano F.., 2021, CASE STUDY ISF RESIL
   Consulting Services for the Formulation of the Manila Bay Sustainable Development Master Plan, MAN BAY SUST DEV MAS
   Dadulla L.B.., 2021, CASE STUDY ROSARIO C
   De Rosas-Ignacio M.A.., 2020, CREDIT SAVINGS COOPE
   Doherty J.F., 1985, PHILIPPINE URBAN POO
   Doling J, 1999, HOUSING STUD, V14, P229, DOI 10.1080/02673039982939
   Du J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su122410600
   Duan H. D., 2009, SE ASIAN STUDIES, V46, P532
   Endo T., 2014, Living with Risk: Precarity and Bangkok's Urban Poor
   Estoque RC, 2015, LAND USE POLICY, V48, P213, DOI 10.1016/j.landusepol.2015.05.017
   Garschagen M., 2010, P INT WORKSH SOC EC, P14
   Greiving Stefan., 2017, J EXTREME EVENTS, V04, P1850003, DOI [DOI 10.1142/S2345737618500033, 10.1142/S2345737618500033]
   Grieving S., 2018, J.Extr. Even., V05, DOI DOI 10.1142/S2345737618500112
   Handzic K, 2010, HABITAT INT, V34, P11, DOI 10.1016/j.habitatint.2009.04.001
   ICF International, 2014, DEV NAT INF SETTL UP
   Jonsson H, 2002, J ASIAN STUD, V61, P784, DOI 10.2307/2700373
   Kamalipour H, 2016, ARCHNET-IJAR, V10, P60
   kbl, BLISS BAG LIP IMPR S
   Kermel-Torres Doryane., 2004, Atlas of Thailand: Spatial Structures and Development
   Kimhur B.., 2019, COMMUNITIES TRANSF 1
   Leducq D, 2018, CITIES, V72, P70, DOI 10.1016/j.cities.2017.08.003
   Mach KJ, 2021, SCIENCE, V372, P1294, DOI 10.1126/science.abh1894
   Minnery J, 2013, HABITAT INT, V39, P162, DOI 10.1016/j.habitatint.2012.12.002
   Morin VM, 2016, DISASTERS, V40, P693, DOI 10.1111/disa.12174
   National Disaster Risk Reduction and Management Council, 2011, The National Disaster Risk Reduction and Management Plan 2011 to 2028 Final Version
   NEDA N.E. and D.A., 2017, PHIL DEV PLAN 2017 2
   Ngo K.., 2018, HLTH DESIGN PLANNING, P53
   Nguyen H.., 2016, Urban Disasters and Resilience in Asia, P123, DOI [10.1016/B978-0-12-802169-9.00009-4, DOI 10.1016/B978-0-12-802169-9.00009-4]
   Novero J.A.S.., 2021, CASE STUDY BAGO APLA
   Pan American Health Organization, 2017, GFDRR ANN REP 2017 B
   Philippine Statics Authority Highlights of the National Capital Region (NCR), 2021, Technical Notes 2020 Census of Population and Housing (2020 CPH)
   Philippine Statistics Authority, 2015, PHILIPPINE POPULATIO
   Quezon City, PEOPL HOM HOUS PROJ
   Rerngnirunsathit P.., 2012, Thailand country profiles, P23
   Schuurman Frans., 1989, URBAN SOCIAL MOVEMEN
   Scott M, 2020, PLAN THEORY PRACT, V21, P125, DOI 10.1080/14649357.2020.1704130
   Senanuch P.., 2004, THESIS U SYDNEY SYDN
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Shatkin G, 2008, ENVIRON PLANN A, V40, P383, DOI 10.1068/a38439
   shfc, HIGH DENS HOUS PROGR
   shfc, FAST FACTS SOC HOUS
   Souza F.D., 2018, LAND READJUSTMENT SO
   Statista, 2020, VIETN DISTR POP URB
   TGK, 2002, OFFICIAL GAZETTE REP
   Nguyen TM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061768
   Tran M., 2019, TRANSFORMATIVE ADAPT
   UNDRR, 2019, Global assessment report on disaster risk reduction (GAR)
   unhabitat, HAB 3 ISS PAP 22 INF
   United Nations, 2020, SDG IND GOAL 11 MAK
   World Bank, 2017, PHIL URB REV FOST CO
   World Bank, 2009, Climate change impact and adaptation study for Bangkok metropolitan region: Final report (English)
   World Bank, 2020, VIETNAMS URBANIZATIO, DOI [10.1596/34761, DOI 10.1596/34761]
   World Bank, 2020, POP LIV SLUMS THAIL
   Yap K.S.., 2017, INFORMAL SETTLEMENTS
   Yap KS, 2010, HABITAT INT, V34, P332, DOI 10.1016/j.habitatint.2009.11.006
NR 84
TC 2
Z9 2
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 AUG
PY 2022
VL 14
IS 15
AR 8985
DI 10.3390/su14158985
PG 29
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 3R4TU
UT WOS:000838908000001
OA gold
DA 2025-01-10
ER

PT J
AU Mank, I
   Sorgho, R
   Zerbo, F
   Kagoné, M
   Coulibaly, B
   Oguso, J
   Mbata, M
   Khagayi, S
   Muok, EMO
   Sié, A
   Danquah, I
AF Mank, Isabel
   Sorgho, Raissa
   Zerbo, Fanta
   Kagone, Moubassira
   Coulibaly, Boubacar
   Oguso, John
   Mbata, Michael
   Khagayi, Sammy
   Muok, Erick M. O.
   Sie, Ali
   Danquah, Ina
TI ALIMUS-We are feeding! Study protocol of a multi-center,
   cluster-randomized controlled trial on the effects of a home garden and
   nutrition counseling intervention to reduce child undernutrition in
   rural Burkina Faso and Kenya
SO TRIALS
LA English
DT Article
DE Evaluation; Stunting; Malaria; Bio-diversification; Behavioral change;
   Randomized controlled trial; Sub-Saharan Africa
ID DEMOGRAPHIC SURVEILLANCE SYSTEM; 2-YEAR INTEGRATED AGRICULTURE;
   CLIMATE-CHANGE; DIETARY DIVERSITY; HEALTH; SMALLHOLDER; IMPACTS
AB Background: Climate change heavily affects child nutritional status in sub-Saharan Africa. Agricultural and dietary diversification are promising tools to balance agricultural yield losses and nutrient deficits in crops. However, rigorous impact evaluation of such adaptation strategies is lacking. This project will determine the potential of an integrated home gardening and nutrition counseling program as one possible climate change adaptation strategy to improve child health in rural Burkina Faso and Kenya.
   Methods: Based on careful co-design with stakeholders and beneficiaries, we conduct a multi-center, cluster-randomized controlled trial with 2 x 600 households in North-Western Burkina Faso and in South-Eastern Kenya. We recruit households with children at the age of complementary feed introduction (6-24 months) and with access to water sources. The intervention comprises the bio-diversification of horticultural home gardens and nutritional health counseling, using the 7 Essential Nutrition Action messages by the World Health Organization. After 12-months of follow-up, we will determine the intervention effect on the primary health outcome height-for-age z-score, using multi-level mixed models in an intention-to-treat approach. Secondary outcomes comprise other anthropometric indices, iron and zinc status, dietary behavior, malaria indicators, and household socioeconomic status.
   Discussion: This project will establish the potential of a home gardening and nutrition counseling program to counteract climate change-related quantitative and qualitative agricultural losses, thereby improving the nutritional status among young children in rural sub-Saharan Africa.
C1 [Mank, Isabel; Sorgho, Raissa; Danquah, Ina] Heidelberg Univ, Med Fac, Heidelberg Inst Global Hlth HIGH, Neuenheimer Feld 324, D-69120 Heidelberg, Germany.
   [Mank, Isabel; Sorgho, Raissa; Danquah, Ina] Heidelberg Univ, Univ Hosp Heidelberg, Neuenheimer Feld 324, D-69120 Heidelberg, Germany.
   [Mank, Isabel] German Inst Dev Evaluat DEval, Bonn, Germany.
   [Zerbo, Fanta; Kagone, Moubassira; Coulibaly, Boubacar; Sie, Ali] Ctr Rech Sante Nouna CRSN, Nouna, Burkina Faso.
   [Oguso, John; Mbata, Michael; Khagayi, Sammy; Muok, Erick M. O.] Ctr Global Hlth Res CGHR, Kenya Med Res Inst KEMRI, Kisumu, Kenya.
C3 Ruprecht Karls University Heidelberg; Ruprecht Karls University
   Heidelberg; Kenya Medical Research Institute
RP Danquah, I (corresponding author), Heidelberg Univ, Med Fac, Heidelberg Inst Global Hlth HIGH, Neuenheimer Feld 324, D-69120 Heidelberg, Germany.; Danquah, I (corresponding author), Heidelberg Univ, Univ Hosp Heidelberg, Neuenheimer Feld 324, D-69120 Heidelberg, Germany.
EM ina.danquah@uni-heidelberg.de
RI Muok, Erick/AHD-2170-2022; Mank, Isabel/IAN-9359-2023; Sunderland,
   Terence/AAS-5080-2021
OI Sunderland, Terence/0000-0002-1985-9849
FU Projekt DEAL; Robert Bosch Foundation within the "Robert Bosch Junior
   Professorship 2019 for Research into the Sustainable Use of Natural
   Resources" [D10053331]; German Research Foundation (DFG) within the DFG
   Research Unit "Climate change and health in sub-Saharan Africa"
   [D10041684]
FX Open Access funding enabled and organized by Projekt DEAL. The ALIMUS
   trial in Burkina Faso is funded by the Robert Bosch Foundation within
   the "Robert Bosch Junior Professorship 2019 for Research into the
   Sustainable Use of Natural Resources" (Reference: D10053331). The ALIMUS
   trial in Kenya is funded by the German Research Foundation (DFG) within
   the DFG Research Unit "Climate change and health in sub-Saharan Africa"
   (Reference: D10041684). The funders had and will have no role in study
   design; collection, management, analysis, and interpretation of data;
   writing of the manuscript; and the decision to submit the manuscript for
   publication. The funders do not have ultimate authority over any of
   these aforementioned activities.
CR Akombi BJ, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080863
   Anderko L, 2020, PEDIATR RES, V87, P414, DOI 10.1038/s41390-019-0654-7
   [Anonymous], 2013, H KELLER INT ENHANCE
   [Anonymous], 2012, W AFRICAN FOOD COMPO
   [Anonymous], 2006, Policy Brief, P1, DOI [DOI 10.1016/J.JNEB.2010.12.007, 10.1016/j.jneb.2010.12.007]
   Ballard T., 2011, Food and Nutrition Technical Assistance II Project, FHI 360
   Black RE, 2013, LANCET, V382, P427, DOI 10.1016/S0140-6736(13)60937-X
   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
   Diboulo E, 2012, GLOBAL HEALTH ACTION, V5, P6, DOI 10.3402/gha.v5i0.19078
   EPA, 2015, OV GREENH GAS GREENH
   FAO & Government of Kenya, 2018, KEN FOOD COMP TABL
   [Field C.B. IPCC. IPCC.], 2012, MANAGING RISKS EXTRE, P555
   Galbete C, 2017, FOOD NUTR RES, V61, DOI 10.1080/16546628.2017.1341809
   Harika R, 2017, FOOD NUTR BULL, V38, P405, DOI 10.1177/0379572117715818
   Helldèn D, 2021, LANCET PLANET HEALTH, V5, pE164, DOI 10.1016/S2542-5196(20)30274-6
   Husereau D, 2013, EUR J HEALTH ECON, V14, P367, DOI 10.1007/s10198-013-0471-6
   Kapesa A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0202031
   Karst IG, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12111717
   Koningstein JA., 1972, INTRO THEORY RAMAN E, DOI 10.1007/978-94-010-2901-8
   Malaria S, 2014, TROP MED INT HEALTH, V19, P7, DOI [10.1111/tmi.12313, 10.1111/tmi.12313_2]
   Mank I, 2020, NUTR J, V19, DOI 10.1186/s12937-020-00591-3
   Morgan SL, 2007, ANAL METHOD SOC RES, P1, DOI 10.1017/CBO9780511804564
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Muriuki JM, 2020, BMC MED, V18, DOI 10.1186/s12916-020-1502-7
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Myers SS, 2014, NATURE, V510, P139, DOI 10.1038/nature13179
   National Malaria Control Programme Kenya National Bureau of Statistics ICF International, 2016, KEN MAL IND SURV 201
   Odhiambo FO, 2012, INT J EPIDEMIOL, V41, P977, DOI 10.1093/ije/dys108
   Olney DK, 2016, J NUTR, V146, P1109, DOI 10.3945/jn.115.224261
   Olney DK, 2015, J NUTR, V145, P1317, DOI 10.3945/jn.114.203539
   Phalkey RK, 2015, P NATL ACAD SCI USA, V112, pE4522, DOI 10.1073/pnas.1409769112
   Powell B, 2015, FOOD SECUR, V7, P535, DOI 10.1007/s12571-015-0466-5
   Scheelbeek PFD, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac092c
   Sibhatu KT, 2015, P NATL ACAD SCI USA, V112, P10657, DOI 10.1073/pnas.1510982112
   Sié A, 2018, INT HEALTH, V10, P157, DOI 10.1093/inthealth/ihy016
   Sié A, 2010, GLOBAL HEALTH ACTION, V3, DOI 10.3402/gha.v3i0.5284
   Smith MR, 2018, NAT CLIM CHANGE, V8, P834, DOI 10.1038/s41558-018-0253-3
   Sorgho R, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17197200
   Wehner S, 2017, ACTA TROP, V175, P78, DOI 10.1016/j.actatropica.2017.03.017
   World Health Organization, 2008, CONCL CONS M HELD 6
   World Health Organization, 2013, Essential Nutrition Actions: Improving Maternal, Newborn, Infant and Young Child Health and Nutrition (9241505559)
   Zhu CW, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aaq1012
NR 42
TC 1
Z9 1
U1 0
U2 4
PU BMC
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
EI 1745-6215
J9 TRIALS
JI Trials
PD JUN 1
PY 2022
VL 23
IS 1
AR 449
DI 10.1186/s13063-022-06423-5
PG 13
WC Medicine, Research & Experimental
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Research & Experimental Medicine
GA 1T5BQ
UT WOS:000804744200003
PM 35650583
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Walshe, RA
   Rouphail, RM
   Adamson, GCD
   Kelman, I
AF Walshe, Rory A.
   Rouphail, Robert M.
   Adamson, George C. D.
   Kelman, Ilan
TI Werewolves and warning signs: Cultural responses to tropical cyclones in
   Mauritius
SO GEOFORUM
LA English
DT Article
DE Disaster; Culture; History; Local knowledge; Tropical cyclones;
   Mauritius
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK REDUCTION; INDIGENOUS
   KNOWLEDGE; ISLAND; VULNERABILITY; PERCEPTIONS; GEOGRAPHY; HISTORY;
   WEATHER; SCIENCE
AB The role that culture plays in the way different groups experience, respond to, and recover from disasters has been widely discussed. Yet, while there is a considerable (and growing) literature of case study evidence for the need to account for culture in disasters, comparatively few studies take a long-term perspective on cultural interactions with disasters, resulting in a lack of exploration into the diachronic nature of these cultural responses, both past and present. The literature that does exist tends also to focus either on western cultures or on groups that pursue highly traditional livelihoods. Communities that call on elements of both local or vernacular knowledge and scientific or external knowledge are underrepresented. This article presents an examination of cultural responses to tropical cyclones on Mauritius Island in the South West Indian Ocean over the long-term. We combine historical archive and contemporary interview data to uncover an extensive history of cultural responses to cyclones in Mauritius, including revealing the use of local knowledge, early warning signs, and superstitions surrounding cyclones in early Mauritian history and today.Our research refutes the portrayal of isolated 'episodes' of cultural responses to cyclones, such as the reports of 'mass hysteria' following tropical cyclone Hollanda in February 1994, when a considerable proportion of Mauritians believed that a werewolf or loup garou was terrorising villagers. Whilst this experience has been portrayed - both at the time and currently - as an embarrassing and one-off incident, we show that this is rather part of a long pattern of cultural responses to tropical cyclones. Our results therefore have implications for how cyclones and disasters are understood and experienced.
C1 [Walshe, Rory A.] Univ Cambridge, Dept Geog, Cambridge, Cambs, England.
   [Rouphail, Robert M.] Univ Iowa, Dept Hist, Iowa City, IA USA.
   [Adamson, George C. D.] Kings Coll London, Dept Geog, London, England.
   [Kelman, Ilan] UCL, Inst Risk & Disaster Reduct, London, England.
   [Kelman, Ilan] Univ Agder, Kristiansand, Norway.
   [Walshe, Rory A.] Univ Cambridge, Dept Geog, Downing Site, Room 1-20, Cambridge CB2 1BY, Cambs, England.
   [Kelman, Ilan] UCL, Inst Global Hlth, London, England.
C3 University of Cambridge; University of Iowa; University of London;
   King's College London; University of London; University College London;
   University of Agder; University of Cambridge; University of London;
   University College London
RP Walshe, RA (corresponding author), Univ Cambridge, Dept Geog, Downing Site, Room 1-20, Cambridge CB2 1BY, Cambs, England.
EM rw647@cam.ac.uk
OI Kelman, Ilan/0000-0002-4191-6969; Adamson, George/0000-0001-6660-696X
FU UK Natural Environment Research Council (NERC) [NE/L002485/1]
FX Acknowledgments The authors wish to thank and acknowledge the interview
   partici-pants, the assistance of the National Archive and National
   Library staff in Mauritius, research assistants Vasishth Rajcoomar,
   Sharon Ram-sawmy, Tarun Seetah, and Priya Doya. Thanks to the three
   anonymous peer reviewers for their comments which greatly improved this
   manuscript. Funding statement. The involvement of RW in this research
   was part of a studentship funded by the UK Natural Environment Research
   Council (NERC) , grant number NE/L002485/1.
CR Adamson GCD, 2018, GLOBAL ENVIRON CHANG, V48, P195, DOI 10.1016/j.gloenvcha.2017.12.003
   Alexander D, 2021, DISASTERS, V45, P5, DOI 10.1111/disa.12432
   [Anonymous], 2002, Coolitude: An Anthology of the Indian Labour Diaspora
   [Anonymous], 2008, SEA OF POPPIES
   [Anonymous], 1999, STUDIES EC THEORY
   Appanah N., 2016, HOLLANDA PETITELOGE
   Appleby-Arnold S, 2018, INT J DISAST RISK RE, V31, P37, DOI 10.1016/j.ijdrr.2018.04.015
   Assmann J, 2011, CULTURAL MEMORY AND EARLY CIVILIZATION: WRITING, REMEMBRANCE, AND POLITICAL IMAGINATION, P15
   BALL N, 1979, DISASTERS, V3, P3, DOI 10.1111/j.1467-7717.1979.tb00188.x
   Bankoff Greg., 2015, Cultures and Disasters, P1, DOI DOI 10.1192/BJP.112.483.211-A
   Bankoff Greg., 2004, INT J MASS EMERGENCI, V22, P23
   Behringer Wolfgang, 2010, A Cultural History of Climate
   Bernardin de Saint-Pierre H., 1773, VOYAGE ISLE FRANCE I, V1
   Blaikie P., 1994, At Risk: Natural hazards, people's vulnerability, and disasters
   Briggs J, 1999, APPL GEOGR, V19, P87, DOI 10.1016/S0143-6228(98)00037-X
   Briggs J., 2005, Progress in Development Studies, V5, P99, DOI DOI 10.1191/1464993405PS105OA
   Cabon M, 1981, NAMASTE, V2nd
   Cannon Terry., 2008, DISASTER PREV MANAG, V17, P350, DOI [DOI 10.1108/09653560810887275, 10.1108/09653560810887275]
   Collett A, 2017, LIT CULT ENVIRON, P1, DOI 10.1007/978-3-319-41516-1_1
   Dekens J., 2007, LOCAL KNOWLEDGE DISA
   Donovan A, 2017, PROG HUM GEOG, V41, P44, DOI 10.1177/0309132515627020
   DYNES RR, 1975, MASS EMERGENCIES, V1, P21
   Endfield GH, 2007, CLIMATIC CHANGE, V83, P9, DOI 10.1007/s10584-006-9125-3
   Gaillard JC, 2019, DISASTERS, V43, pS7, DOI 10.1111/disa.12323
   Garcia-Acosta V., 2017, The Routledge Handbook of Disaster Risk Reduction including Climate Change Adaptation, P203, DOI [10.4324/9781315684260.ch20, DOI 10.4324/9781315684260.CH20]
   Garcia-Acosta V, 2007, MEDIEV HIST J, V10, P127, DOI 10.1177/097194580701000205
   Geertz C, 2000, INTERPRETATION CULTU
   Gierlach E, 2010, RISK ANAL, V30, P1539, DOI 10.1111/j.1539-6924.2010.01451.x
   Hall A, 2016, WEATHER CLIM SOC, V8, P5, DOI 10.1175/WCAS-D-15-0028.1
   Haring Lee., 2001, Anu Koleksyonn Folklore Moris. Collecting Folklore in Mauritius
   Hewitt K., 1983, INTERPRETATIONS CALA
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hoffman AndrewJ., 2015, How Culture Shapes the Climate Change Debate
   Horowitz Andy., 2020, KATRINA HIST 1915 20
   HOWELL P, 2003, 6 BEN HAZ RES CTR
   Issur K, 2020, CULT DYN, V32, P117, DOI 10.1177/0921374019900703
   Johnston I, 2015, ENVIRON HAZARDS-UK, V14, P210, DOI 10.1080/17477891.2015.1046156
   Kasbarian JA, 1996, ENVIRON PLANN D, V14, P529, DOI 10.1068/d140529
   Kelman I, 2012, GEOGRAPHY, V97, P12
   Kirchherr J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0201710
   Kroeber AL, 1952, PAP PEABODY MUS AM A, V47, P3
   Leach M, 2000, DEV CHANGE, V31, P35, DOI 10.1111/1467-7660.00146
   Lefale PF, 2010, CLIMATIC CHANGE, V100, P317, DOI 10.1007/s10584-009-9722-z
   LEWIS J, 1990, DISASTERS, V14, P240, DOI 10.1111/j.1467-7717.1990.tb01066.x
   Lewis J., 2015, CULTURES DISASTERS, V1st, P109
   Livingstone DN, 2012, CLIMATIC CHANGE, V113, P91, DOI 10.1007/s10584-012-0409-5
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Mahony M, 2018, BRIT J HIST SCI, V51, P607, DOI 10.1017/S0007087418000766
   McAdoo BG, 2006, EARTHQ SPECTRA, V22, pS661, DOI 10.1193/1.2204966
   McGowran P, 2021, PROG HUM GEOG, V45, P1601, DOI 10.1177/03091325211003328
   Meldrum C, 1879, Q J ROYAL METEOROLOG, V5, P223
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Mondragon C., 2015, SEASONAL ENV PRACTIC, V1, DOI [10.1017/CBO9781107415324.004, DOI 10.1017/CBO9781107415324.004]
   Mortreux C, 2009, GLOBAL ENVIRON CHANG, V19, P105, DOI 10.1016/j.gloenvcha.2008.09.006
   Nunn PD, 2007, HUM ECOL, V35, P385, DOI 10.1007/s10745-006-9090-5
   Nunn PD, 2020, ENVIRON DEV, V35, DOI 10.1016/j.envdev.2020.100546
   Nunn PD, 2017, REG ENVIRON CHANGE, V17, P959, DOI 10.1007/s10113-016-0950-2
   Nussbaum Felicity., 1995, Torrid Zones: Maternity, Sexuality, and Empire in Eighteenth-Century English Narratives
   O'Leary M., 2004, 1 72 HOURS COMMUNITY
   OKEEFE P, 1976, NATURE, V260, P566, DOI 10.1038/260566a0
   Oliver-Smith A., 1999, ANGRY EARTH DISASTER, P18
   Olsen Henry, 2016, 4 FACES REPUBLICAN P
   Palutikof JP, 2004, CLIM RES, V26, P43, DOI 10.3354/cr026043
   Paul S K, 2013, Climate Change and Disaster Risk Management. Climate Change Management, P15, DOI [DOI 10.1007/978-3-642-31110-9_2, 10.1007/978-3-642-31110-9_2]
   Petzold J, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb330
   Pridham Charles., 1849, HIST POLITICAL STAT
   Quarantelli EL., 2001, International Encyclopedia of the Social and Behavioral Sciences, P11020, DOI DOI 10.1016/B0-08-043076-7/01867-2
   Riede F, 2014, NAT HAZARDS, V71, P335, DOI 10.1007/s11069-013-0913-6
   Rodriguez H., 2007, Handbook of disaster research, V643
   Rouphail R.M., 2020, RACE GENDER DISASTER
   Rouphail RM, 2021, J AFR HIST, V62, P79, DOI 10.1017/S0021853721000189
   Rouphail RM, 2019, ISIS, V110, P48, DOI 10.1086/702729
   Said EdwardW., 2019, Orientalism
   Schenk G, 2015, Cultures and disasters: Understanding cultural framings in disaster risk reduction, P72, DOI [10.4324/9781315797809, DOI 10.4324/9781315797809]
   Schenk GJ, 2007, HIST SOC RES, V32, P9
   Shaw R, 2009, NAT DISASTER RES PR, P1
   Slew P, 2003, CYCLONE BLACK RIVER
   Sperber D, 2008, BIOL PHILOS, V23, P283, DOI 10.1007/s10539-005-9012-8
   Steinberg Ted., 2006, ACTS GOD UNNATURAL H
   Sutter PaulS., 2015, Rachel Carson Center Perspectives, P19
   Tyagi R., 2009, DISSERTATION
   Vaghjee RR, 2000, EARLY WARNING SYSTEMS FOR NATURAL DISASTER REDUCTION, P209
   van Bavel B, 2020, Disasters and history: the vulnerability and resilience of past societies, DOI [10.1017/9781108569743, DOI 10.1017/9781108569743]
   Walshe R., 2021, Small States Territories, V4, P205
   Walshe R.A., 2022, J HIST GEOGR, DOI DOI 10.1016/J.JHG.2021.11.002
   Walshe RA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101901
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Walter A., 1914, MAURITIUS ILLUSTRATE, pp188
   White G.F., 1976, Natural hazards: Local, national, global
NR 90
TC 1
Z9 1
U1 0
U2 7
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0016-7185
EI 1872-9398
J9 GEOFORUM
JI Geoforum
PD JUL
PY 2022
VL 133
BP 56
EP 65
DI 10.1016/j.geoforum.2022.05.011
EA MAY 2022
PG 10
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 2B1MK
UT WOS:000809958300003
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Pachos, K
   Huskova, I
   Matrosov, E
   Erfani, T
   Harou, JJ
AF Pachos, Kevis
   Huskova, Ivana
   Matrosov, Evgenii
   Erfani, Tohid
   Harou, Julien J.
TI Trade-off informed adaptive and robust real options water resources
   planning
SO ADVANCES IN WATER RESOURCES
LA English
DT Article
DE Water resource systems planning; Adaptive infrastructure planning; Real
   options analysis; Robust decision making; Multi-objective search;
   Stakeholder-driven environmental planning
ID CLIMATE-CHANGE ADAPTATION; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION;
   DEEP UNCERTAINTY; DECISION-MAKING; INFRASTRUCTURE INVESTMENTS; CAPACITY
   EXPANSION; MANAGEMENT; SYSTEMS; FUTURE; RISK
AB Planning water resource systems is challenged primarily by two realities. First, uncertainty is inherent in the predictions of future supplies and demands due for example to hydrological variability and climate change. To build societal resilience water planners should seek to enhance the adaptability and robustness of water resource system interventions. Second, water resource developments typically involve competing interests which implies considering the trade-offs and synergies implied by the highest performing combinations of development options is useful. This work describes a real options based planning framework that generates adaptive and robust water system design alternatives able to consider and trade-off different goals. The framework can address different types of uncertainties and suggests the highest performing designs across multiple evaluation criteria, such as financial costs and water supply service performance metrics. Using a global city's water resource and supply system as a demonstration of the approach, we explore the tradeoffs between a long-term water management plan's infrastructure services (service resilience, reliability, vulnerability) and its financial costs under supply and demand uncertainty. The set of trade-off solutions consist of different investment plans which are adaptive and robust to future changing conditions. Results show that the highest performing plans lower net present value (NPV) of needed investments by up to 18%, while maintaining similar performance across the other objectives. The real option value of delaying investments as much as possible approaches up to 14% of total NPV.
C1 [Pachos, Kevis; Erfani, Tohid; Harou, Julien J.] UCL, Dept Civil Environm & Geomat Engn, London, England.
   [Huskova, Ivana; Matrosov, Evgenii; Harou, Julien J.] Univ Manchester, Dept Mech Aerosp & Civil Engn, Manchester, Lancs, England.
C3 University of London; University College London; University of
   Manchester
RP Erfani, T; Harou, JJ (corresponding author), UCL, Dept Civil Environm & Geomat Engn, London, England.; Harou, JJ (corresponding author), Univ Manchester, Dept Mech Aerosp & Civil Engn, Manchester, Lancs, England.
EM t.erfani@ucl.ac.uk; julien.harou@manchester.ac.uk
OI Pachos, Kevis/0000-0003-3893-7627
FU Thames Water; UCL Department of Civil, Environmental and Geomatic
   Engineering doctoral training scheme; UKRI's FutureDAMS project
   [ES/P011373/1]; EPSRC [EP/G060460/1] Funding Source: UKRI; GCRF
   [ES/P011373/1] Funding Source: UKRI; NERC [NE/M020142/1] Funding Source:
   UKRI; UKRI [NE/S017305/1] Funding Source: UKRI
FX Funding from Thames Water, the UCL Department of Civil, Environmental
   and Geomatic Engineering doctoral training scheme and UKRI's FutureDAMS
   project (ES/P011373/1) are gratefully acknowledged. Anna Wallen and
   Chris Lambert provided comments that improved the paper. Data used in
   this study is available in the Technical appendices on the Thames Water
   website:
   https://www.thameswater.co.uk/about-us/regulation/water-resources.
CR [Anonymous], 2013, WAT STRESS AR FIN CL
   Banzhaf HS, 2009, LAND ECON, V85, P3, DOI 10.3368/le.85.1.3
   Beh EHY, 2017, ENVIRON MODELL SOFTW, V93, P92, DOI 10.1016/j.envsoft.2017.03.013
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Ben-Haim Y., 2006, Academic, DOI DOI 10.1016/B978-0-12-373552-2.X5000-0
   Best J, 2019, NAT GEOSCI, V12, P7, DOI 10.1038/s41561-018-0262-x
   Birge J.R., 1997, INTRO STOCHASTIC PRO, P233
   Birge JR, 2011, SPRINGER SER OPER RE, P3, DOI 10.1007/978-1-4614-0237-4
   Borgomeo E, 2018, EARTHS FUTURE, V6, P468, DOI 10.1002/2017EF000730
   Borgomeo E, 2016, WATER RESOUR RES, V52, P622, DOI 10.1002/2015WR018164
   Brekke LD, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006941
   Brown Casey, 2020, Water Security, V9, P1, DOI 10.1016/j.wasec.2019.100051
   Brown CM, 2015, WATER RESOUR RES, V51, P6110, DOI 10.1002/2015WR017114
   Buurman J, 2016, POLICY SOC, V35, P137, DOI 10.1016/j.polsoc.2016.05.002
   Carr G, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011662
   Castelletti A, 2010, ENVIRON MODELL SOFTW, V25, P1552, DOI 10.1016/j.envsoft.2010.05.011
   Charlton MB, 2011, GLOBAL ENVIRON CHANG, V21, P238, DOI 10.1016/j.gloenvcha.2010.07.012
   Chow JYJ, 2011, TRANSPORT RES B-METH, V45, P682, DOI 10.1016/j.trb.2010.11.005
   Coello C. A. Coello, 2007, EVOLUTIONARY ALGORIT, V5
   Creaco E, 2014, J WATER RES PLAN MAN, V140, P598, DOI 10.1061/(ASCE)WR.1943-5452.0000358
   De Weck OL., 2004, J AEROS COMPUT INFOR, V1, P119, DOI DOI 10.2514/1.6346
   DeNeufville R, 2011, ENG SYST, P1
   Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   DIXIT A.K., 1995, OPTIONS APPROACH CAP
   Environment Agency, 2021, WATER RESOURCES PLAN
   Erfani T, 2020, ADV WATER RESOUR, V136, DOI 10.1016/j.advwatres.2019.103490
   Erfani T, 2018, WATER RESOUR RES, V54, P5069, DOI 10.1029/2017WR021803
   Escudero LF, 2007, TOP, V15, P48, DOI 10.1007/s11750-007-0005-4
   Fletcher S, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09677-x
   Geressu R, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001464
   Geressu RT, 2019, ENVIRON MODELL SOFTW, V118, P201, DOI 10.1016/j.envsoft.2019.04.002
   Ginbo T., 2020, INVESTING CLIMATE CH
   Gorelick D., 2019, WATER RESOUR RES
   Groves D.G., 2021, WATER PLANNING UNCER, DOI [10.7249/TL320, DOI 10.7249/TL320]
   Growe-Kuska N., 2003, P IEEE BOL POW TECH, V3, P1, DOI DOI 10.1109/PTC.2003.1304379
   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
   Hall Jim W., 2019, Water Security, V8, P25, DOI 10.1016/j.wasec.2019.100052
   Hall JW, 2012, WATER ENVIRON J, V26, P118, DOI 10.1111/j.1747-6593.2011.00271.x
   Hall JW, 2020, WATER ENVIRON J, V34, P441, DOI 10.1111/wej.12479
   Harou JJ, 2020, P I CIVIL ENG-WAT M, V173, P55, DOI 10.1680/jwama.173.2020.2.55
   Heitsch H, 2006, SIAM J OPTIMIZ, V17, P511, DOI 10.1137/050632865
   Heitsch H, 2009, MATH PROGRAM, V118, P371, DOI 10.1007/s10107-007-0197-2
   Heitsch Holger., 2005, 2005 IEEE RUSSIA POW, P1, DOI DOI 10.1109/PTC.2005.4524696
   Heitseh Holger., 2011, Stochastic Optimization Methods in Finance and Energy, P313
   Herman J.D., 2019, WATER RESOUR RES
   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
   Hino M, 2017, ASCE-ASME J RISK U A, V3, DOI 10.1061/AJRUA6.0000905
   Hitch CharlesJ., 1960, On the Choice of Objectives in Systems Studies
   Hurford AP, 2020, ECOSYST SERV, V45, DOI 10.1016/j.ecoser.2020.101144
   Huskova I, 2016, GLOBAL ENVIRON CHANG, V41, P216, DOI 10.1016/j.gloenvcha.2016.10.007
   Jeuland M, 2014, WATER RESOUR RES, V50, P2086, DOI 10.1002/2013WR013705
   Johnson DR, 2019, ANNU REV RESOUR ECON, V11, P19, DOI 10.1146/annurev-resource-100518-094020
   Kang D, 2014, J WATER RES PLAN MAN, V140, P40, DOI 10.1061/(ASCE)WR.1943-5452.0000310
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   KEELER EB, 1983, MANAGE SCI, V29, P300, DOI 10.1287/mnsc.29.3.300
   Kollat JB, 2007, ADV WATER RESOUR, V30, P408, DOI 10.1016/j.advwatres.2006.05.009
   Kollat JB, 2006, ADV WATER RESOUR, V29, P792, DOI 10.1016/j.advwatres.2005.07.010
   Kollat JB, 2007, ENVIRON MODELL SOFTW, V22, P1691, DOI 10.1016/j.envsoft.2007.02.001
   Kwakkel J.H., 2020, WIRES COMPUT STAT, Ve638
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Lander D.M., 1998, Q REV ECON FINANC, V38, P537, DOI DOI 10.1016/S1062-9769(99)80089-1
   Latorre JM, 2007, EUR J OPER RES, V181, P1339, DOI 10.1016/j.ejor.2005.11.045
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   LUSS H, 1982, OPER RES, V30, P907, DOI 10.1287/opre.30.5.907
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Maier HR, 2014, ENVIRON MODELL SOFTW, V62, P271, DOI 10.1016/j.envsoft.2014.09.013
   Manocha N, 2018, ENVIRON SCI POLICY, V90, P11, DOI 10.1016/j.envsci.2018.09.012
   Marques J, 2015, ENVIRON MODELL SOFTW, V63, P1, DOI 10.1016/j.envsoft.2014.09.014
   Matrosov ES, 2015, J HYDROL, V531, P1040, DOI 10.1016/j.jhydrol.2015.11.003
   Matrosov ES, 2011, ENVIRON MODELL SOFTW, V26, P1599, DOI 10.1016/j.envsoft.2011.07.013
   McPhail C, 2018, EARTHS FUTURE, V6, P169, DOI 10.1002/2017EF000649
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Molina-Perez E., 2019, Developing a Robust Water Strategy for Monterrey, Mexico: Diversification and Adaptation for Coping with Climate, Economic, and Technological Uncertainties, DOI [10.7249/RR3017, DOI 10.7249/RR3017]
   Mortazavi-Naeini M, 2015, ENVIRON MODELL SOFTW, V69, P437, DOI 10.1016/j.envsoft.2015.02.021
   Mortazavi-Naeini M, 2014, WATER RESOUR RES, V50, P4624, DOI 10.1002/2013WR014569
   MOY WS, 1986, WATER RESOUR RES, V22, P489, DOI 10.1029/WR022i004p00489
   Murgatroyd A, 2021, WATER RESOUR RES, V57, DOI 10.1029/2020WR028117
   Nicklow J, 2010, J WATER RES PLAN MAN, V136, P412, DOI 10.1061/(ASCE)WR.1943-5452.0000053
   Padula S, 2013, WATER RESOUR MANAG, V27, P5017, DOI 10.1007/s11269-013-0437-6
   Paparoditis E, 2002, J STAT PLAN INFER, V108, P301, DOI 10.1016/S0378-3758(02)00315-4
   Paton FL, 2014, WATER RESOUR RES, V50, P6285, DOI 10.1002/2013WR015195
   Prudhomme C, 2013, EARTH SYST SCI DATA, V5, P101, DOI 10.5194/essd-5-101-2013
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Ray P. A., 2015, Confronting climate uncertainty in water resources planning and project design: The decision tree framework
   Ray PA, 2018, GLOBAL ENVIRON CHANG, V48, P168, DOI 10.1016/j.gloenvcha.2017.11.013
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Ruszczynski A, 2003, HDBK OPER R, V10, P1
   Salas JD, 2018, HYDROLOG SCI J, V63, P325, DOI 10.1080/02626667.2018.1426858
   Schewe J, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-08745-6
   Seguin S, 2017, EUR J OPER RES, V259, P1156, DOI 10.1016/j.ejor.2016.11.028
   Shortridge J, 2019, RISK ANAL, V39, P959, DOI 10.1111/risa.13234
   Smith D.M., 2019, 2019 GLOB COMM AD GL
   Thames Water L, 2014, WATER RESOURCES MANA
   Thames Water L, 2019, DRAFT WATER RESOURCE
   Treasury H.M. S., 2003, GREEN BOOK APPR EV C
   Trigeorgis L., 1996, Real options
   Trindade BC, 2019, ADV WATER RESOUR, V134, DOI 10.1016/j.advwatres.2019.103442
   UKWIR, 2016, WRMP 2019 Methods -Decision Making Process: Guidance
   van Bruggen A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030825
   Wang T., 2005, Building real options into physical systems with stochastic mixed-integer programming
   Wang T., 2005, REAL OPT C PAR FRANC
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Woodward M, 2014, J WATER RES PLAN MAN, V140, P201, DOI 10.1061/(ASCE)WR.1943-5452.0000295
   Woodward M, 2014, RISK ANAL, V34, P75, DOI 10.1111/risa.12088
   Wreford A., 2020, WIRES COMPUT STAT, Ve642
   YAKOWITZ S, 1982, WATER RESOUR RES, V18, P673, DOI 10.1029/WR018i004p00673
   Zeff HB, 2016, WATER RESOUR RES, V52, P7327, DOI 10.1002/2016WR018771
   Zhang SX, 2012, J HYDROINFORM, V14, P13, DOI 10.2166/hydro.2011.078
   Zhao T., 2004, J INFRASTRUCT SYST, V10, P23
   Zitzler E., 1999, EVOLUTIONARY ALGORIT, V63
NR 115
TC 9
Z9 10
U1 2
U2 24
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0309-1708
EI 1872-9657
J9 ADV WATER RESOUR
JI Adv. Water Resour.
PD MAR
PY 2022
VL 161
AR 104117
DI 10.1016/j.advwatres.2021.104117
EA FEB 2022
PG 15
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 0Z7BO
UT WOS:000791229400003
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Lavorel, S
   Grigulis, K
   Richards, DR
   Etherington, TR
   Law, RM
   Herzig, A
AF Lavorel, Sandra
   Grigulis, Karl
   Richards, Daniel R.
   Etherington, Thomas R.
   Law, Richard M.
   Herzig, Alexander
TI Templates for multifunctional landscape design
SO LANDSCAPE ECOLOGY
LA English
DT Article
DE Nature-based solutions; Neutral landscape; Multifunctionality; Ecosystem
   service trade-off
ID MULTIPLE ECOSYSTEM SERVICES; LAND-USE INTENSITY; TRADE-OFFS;
   NEW-ZEALAND; NATURES CONTRIBUTION; NEUTRAL MODELS; CLIMATE;
   HETEROGENEITY; BIODIVERSITY; ADAPTATION
AB Context In climate-smart landscapes people manage land use for integrating sustainable production, climate change adaptation and mitigation. The spatial dimension of this multifunctionality remains to be formalised to increase effectiveness of nature-based solutions. Objectives We aimed to systematically analyse effects of fragmentation on multifunctionality and their interactions with land-use intensity responses. Methods We generated virtual landscapes to model interactions among six ecosystem services (ES) of different spatial sensitivities. We simulated land-use patterns on topographies from plains to mountains. Four land-use intensity treatments departed from hypothesised optimal composition for biodiversity and ES with > 30% intensive, < 30% extensive or protected and > 40% intermediate intensity use. For each composition we generated landscapes with differing fragmentation. Results Pixel- and landscape-level multifunctionality emerge from sensitivities of the six ES to landscape composition, fragmentation and their interactions. In heterogeneous landscapes of intermediate land-use intensity extensive grasslands and spatial complementarity supported multiple ES provision. Increasing land use intensity decreased multifunctionality by reducing all ES. However, greater fragmentation mitigated some of these effects because its benefits to nitrogen retention and pollination exceeded losses for recreation, especially in finer-grained landscapes. The five regulating ES were synergistic and showed trade-offs with recreation. Although interactions were most sensitive to intensity given its dominant effects on individual ES, fragmentation mediated interaction strength. Conclusions Virtual simulations allow a systematic understanding of how interactions between land-use intensity and fragmentation modulate multifunctionality. This constitutes an essential step to designing templates for climate smart-landscapes tailored to regional geographies, land-use allocation and ES priorities.
C1 [Lavorel, Sandra; Richards, Daniel R.; Etherington, Thomas R.] Manaaki Whenua Landcare Res, Lincoln, New Zealand.
   [Lavorel, Sandra; Grigulis, Karl] Univ Grenoble Alpes, Univ Savoie Mt Blanc, CNRS, Lab Ecol Alpine, Grenoble, France.
   [Law, Richard M.; Herzig, Alexander] Manaaki Whenua Landcare Res, Palmerston North, New Zealand.
C3 Landcare Research - New Zealand; Communaute Universite Grenoble Alpes;
   Universite Grenoble Alpes (UGA); Centre National de la Recherche
   Scientifique (CNRS); Universite Savoie Mont Blanc; Landcare Research -
   New Zealand
RP Lavorel, S (corresponding author), Manaaki Whenua Landcare Res, Lincoln, New Zealand.
EM sandra.lavorel@univ-grenoble-alpes.fr
RI Herzig, Alexander/AAE-9152-2022; Lavorel, Sandra/AGM-2903-2022; Law,
   Richard/KBQ-3437-2024
OI Law, Richard/0000-0002-7400-2530; Richards, Daniel/0000-0002-8196-8421;
   Herzig, Alexander/0000-0001-6417-0752
FU Strategic Science Investment Funding for Crown Research Institutes from
   the New Zealand Ministry of Business, Innovation and Employment's
   Science and Innovation Group
FX This work was supported by the Strategic Science Investment Funding for
   Crown Research Institutes from the New Zealand Ministry of Business,
   Innovation and Employment's Science and Innovation Group. Sandra Lavorel
   dedicates this work to Robert H. Gardner for a life-long inspiration to
   seek generality in landscape processes. We thank Bruno Locatelli for
   generous insights into trade-off analyses and graphic support.
CR Arroyo-Rodriguez V, 2020, ECOL LETT, V23, P1404, DOI 10.1111/ele.13535
   Ausseil AGE, 2013, ENVIRON MODELL SOFTW, V43, P37, DOI 10.1016/j.envsoft.2013.01.006
   Bardgett RD, 2021, NAT REV EARTH ENV, V2, P720, DOI 10.1038/s43017-021-00207-2
   Barnes R, RICHDEM TERRAIN ANAL
   Barnes R, 2016, COMPUT GEOSCI-UK, V96, P56, DOI 10.1016/j.cageo.2016.07.001
   Barriuso Mediavilla A, 2017, CASE STUDY OLIVE OIL
   Blüthgen N, 2012, BASIC APPL ECOL, V13, P207, DOI 10.1016/j.baae.2012.04.001
   Bolton P., 1995, CALSITE Version 3.1. Calibrated Simulation of Transported Erosion. User Manual
   Bowditch E, 2020, ECOSYST SERV, V43, DOI 10.1016/j.ecoser.2020.101113
   Burton V, 2019, LANDSCAPE ECOL, V34, P1693, DOI 10.1007/s10980-018-0674-4
   Byczek C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0202645
   Case B, 2020, ANAL CARBON STOCKS N
   Case BS, 2020, PEOPLE NAT, V2, P292, DOI 10.1002/pan3.10093
   Chausson A, 2020, GLOBAL CHANGE BIOL, V26, P6134, DOI 10.1111/gcb.15310
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   Colloff MJ, 2020, ECOSYST PEOPLE, V16, P137, DOI 10.1080/26395916.2020.1754919
   Cordingley JE, 2016, J APPL ECOL, V53, P96, DOI 10.1111/1365-2664.12545
   Dade MC, 2019, AMBIO, V48, P1116, DOI 10.1007/s13280-018-1127-7
   Davis M, 2014, NZ J FORESTRY SCI, V44, DOI 10.1186/1179-5395-44-2
   Didham RK, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116474
   Duarte GT, 2020, LANDSCAPE ECOL, V35, P2535, DOI 10.1007/s10980-020-01093-7
   Dymond JR, 2010, EARTH SURF PROC LAND, V35, P1763, DOI 10.1002/esp.2014
   Eden M., 1961, Proceedings of Fourth Berkeley Symposium on Mathematics, Statistics, and Probability, V4, P223
   Elliott A, 2005, ESTIMATION NUTRIENT
   Ellis EC, 2019, CURR OPIN ENV SUST, V38, P86, DOI 10.1016/j.cosust.2019.05.001
   Etherington T.R., 2016, Current Landscape Ecology Reports, V1, P40, DOI DOI 10.1007/S40823-016-0006-9
   Etherington TR, 2015, METHODS ECOL EVOL, V6, P164, DOI 10.1111/2041-210X.12308
   Fahrig L, 2019, BIOL CONSERV, V230, P179, DOI 10.1016/j.biocon.2018.12.026
   Fedele G, 2020, ECOL SOC, V25, DOI 10.5751/ES-11381-250125
   Finch T, 2021, J APPL ECOL, V58, P655, DOI 10.1111/1365-2664.13785
   Fischer M., 2018, REGIONAL ASSESSMENT
   Fusco G, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125168
   Gardner RH, 2007, LANDSCAPE ECOL, V22, P15, DOI 10.1007/s10980-006-9011-4
   Gardner RH, 1987, LANDSCAPE ECOL, V1, P19, DOI 10.1007/BF02275262
   Garibaldi LA, 2021, CONSERV LETT, V14, DOI 10.1111/conl.12773
   GDAL/OGR contributors, 2021, GDAL OGR GEOSP DAT A
   Gosnell H, 2019, GLOBAL ENVIRON CHANG, V59, DOI 10.1016/j.gloenvcha.2019.101965
   Hagberg A., 2008, Technical report, DOI DOI 10.1016/J.JELECTROCARD.2010.09.003
   Hanspach J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06915-190432
   Harris CR, 2020, NATURE, V585, P357, DOI 10.1038/s41586-020-2649-2
   Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066
   Heeb L, 2019, J PEST SCI, V92, P951, DOI 10.1007/s10340-019-01083-y
   Hertzog LR, 2019, ECOLOGY, V100, DOI 10.1002/ecy.2653
   Hesselbarth MHK, 2019, ECOGRAPHY, V42, P1648, DOI 10.1111/ecog.04617
   Hijmans RJ, 2021, CRAN PACKAGE RASTER
   Hölting L, 2019, ECOL INDIC, V103, P226, DOI 10.1016/j.ecolind.2019.04.009
   HORN BKP, 1981, P IEEE, V69, P14, DOI 10.1109/PROC.1981.11918
   Jeanneret P, 2021, LANDSCAPE ECOL, V36, P2235, DOI 10.1007/s10980-021-01248-0
   Jones KB, 2013, LANDSCAPE ECOL, V28, P1175, DOI 10.1007/s10980-012-9794-4
   Kimberley A, 2021, LANDSCAPE ECOL, V36, P265, DOI 10.1007/s10980-020-01138-x
   Lamarque P, 2014, P NATL ACAD SCI USA, V111, P13751, DOI 10.1073/pnas.1216051111
   Lamy T, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/12/124017
   Langhammer M, 2019, ECOL MODEL, V393, P135, DOI 10.1016/j.ecolmodel.2018.12.010
   Lavorel S, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0119
   Lavorel S, 2017, REG ENVIRON CHANGE, V17, P2251, DOI 10.1007/s10113-017-1207-4
   Lavorel S, 2017, ECOL INDIC, V74, P241, DOI 10.1016/j.ecolind.2016.11.015
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Ledgard G, 2014, ENV SOUTHLAND
   Levers C, 2018, REG ENVIRON CHANGE, V18, P715, DOI 10.1007/s10113-015-0907-x
   Lilburne L, 2020, GEODERMA, V363, DOI 10.1016/j.geoderma.2019.114134
   MacLeod CJ, 2006, AGR ECOSYST ENVIRON, V115, P201, DOI 10.1016/j.agee.2006.01.003
   Maes J, 2012, ECOSYST SERV, V1, P31, DOI 10.1016/j.ecoser.2012.06.004
   Manaaki Wheua - Landcare Research [MWLR], 2020, LCDB v5.0 - Land Cover Database version 5.0
   Martínez-Sastre R, 2017, LAND USE POLICY, V67, P472, DOI 10.1016/j.landusepol.2017.06.001
   Mason N, 2012, SCI CONSERVATION, V317
   Mastrangelo ME, 2014, LANDSCAPE ECOL, V29, P345, DOI 10.1007/s10980-013-9959-9
   McIntyre S, 2007, AGR ECOSYST ENVIRON, V119, P11, DOI 10.1016/j.agee.2006.06.013
   McIntyre S., 2000, Management for sustainable ecosystems, P92
   Meyfroid P, 2018, GLOBAL ENVIRON CHANG, V53, P52, DOI 10.1016/j.gloenvcha.2018.08.006
   Mitchell MGE, 2015, ECOL SOC, V20, DOI 10.5751/ES-07927-200415
   Mitchell MGE, 2015, TRENDS ECOL EVOL, V30, P190, DOI 10.1016/j.tree.2015.01.011
   Molder Felix, 2021, F1000Res, V10, P33, DOI 10.12688/f1000research.29032.1
   Musgrave F. K., 1989, Computer Graphics, V23, P41, DOI 10.1145/74334.74337
   Neteler M, 2021, GRASS GIS
   OCALLAGHAN JF, 1984, COMPUT VISION GRAPH, V28, P323, DOI 10.1016/0734-189X(89)90053-4
   Pärn J, 2012, ECOL INDIC, V22, P4, DOI 10.1016/j.ecolind.2011.10.002
   Plotnick RE, 2002, ECOL MODEL, V147, P171, DOI 10.1016/S0304-3800(01)00418-5
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Prestele R, 2020, GLOBAL CHANGE BIOL, V26, P1045, DOI 10.1111/gcb.14940
   Qiu J., 2019, Curr. Landsc. Ecol. Reports, V4, P113, DOI DOI 10.1007/S40823-019-00045-5
   Qiu JX, 2021, ECOSYST PEOPLE, V17, P264, DOI 10.1080/26395916.2021.1925743
   Qiu JX, 2018, ECOL APPL, V28, P119, DOI 10.1002/eap.1633
   Richards DR, 2018, BASIC APPL ECOL, V29, P32, DOI 10.1016/j.baae.2018.02.012
   Richards DR, IN PRESS
   Rieb JT, 2020, LANDSCAPE ECOL, V35, P2863, DOI 10.1007/s10980-020-01117-2
   Sarker Md Nazirul Islam, 2019, International Journal of Agricultural Resources Governance and Ecology, V15, P323, DOI 10.1504/IJARGE.2019.104199
   Scherr S.J., 2012, Agriculture Food Security, V1, P1
   Schippers P, 2015, LANDSCAPE ECOL, V30, P193, DOI 10.1007/s10980-014-0136-6
   Schirpke U, 2020, J ENVIRON MANAGE, V272, DOI 10.1016/j.jenvman.2020.111068
   Schulp CJE, 2014, ECOL INDIC, V36, P131, DOI 10.1016/j.ecolind.2013.07.014
   Schulp CJE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109643
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Seppelt R, 2016, BIOSCIENCE, V66, P890, DOI 10.1093/biosci/biw004
   Seppelt R, 2013, CURR OPIN ENV SUST, V5, P458, DOI 10.1016/j.cosust.2013.05.002
   Sharp R., 2020, InVEST 3.8. 9. post13+ ug. ga74679f users guide
   Sirami C, 2019, P NATL ACAD SCI USA, V116, P16442, DOI 10.1073/pnas.1906419116
   Smelik RM, 2014, COMPUT GRAPH FORUM, V33, P31, DOI 10.1111/cgf.12276
   Smith FP, 2013, AGR ECOSYST ENVIRON, V166, P35, DOI 10.1016/j.agee.2012.01.014
   Spake R, 2019, NAT SUSTAIN, V2, P90, DOI 10.1038/s41893-019-0223-4
   Spake R, 2017, GLOBAL ENVIRON CHANG, V47, P37, DOI 10.1016/j.gloenvcha.2017.08.004
   Stürck J, 2017, LANDSCAPE ECOL, V32, P481, DOI 10.1007/s10980-016-0459-6
   Sutherland IJ, 2016, ECOL INDIC, V71, P123, DOI 10.1016/j.ecolind.2016.06.037
   Thomas A, 2020, ECOL APPL, V30, DOI 10.1002/eap.2046
   Thomas S, 2021, 405422 SLMACC
   Tscharntke T, 2021, TRENDS ECOL EVOL, V36, P919, DOI 10.1016/j.tree.2021.06.010
   Tscharntke T, 2012, BIOL REV, V87, P661, DOI 10.1111/j.1469-185X.2011.00216.x
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Valdés A, 2020, J APPL ECOL, V57, P4, DOI 10.1111/1365-2664.13537
   Vallet A, 2018, ECOL ECON, V150, P96, DOI 10.1016/j.ecolecon.2018.04.002
   van der Plas F, 2019, J APPL ECOL, V56, P168, DOI 10.1111/1365-2664.13260
   van der Walt S, 2014, PEERJ, V2, DOI 10.7717/peerj.453
   van Strien MJ, 2016, ECOL EVOL, V6, P3808, DOI 10.1002/ece3.2145
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Verburg PH, 2006, AGR ECOSYST ENVIRON, V114, P39, DOI 10.1016/j.agee.2005.11.024
   Verburg PH, 2002, ENVIRON MANAGE, V30, P391, DOI 10.1007/s00267-002-2630-x
   Verhagen W, 2016, LANDSCAPE ECOL, V31, P1457, DOI 10.1007/s10980-016-0345-2
   Verkerk PJ, 2018, REG ENVIRON CHANGE, V18, P817, DOI 10.1007/s10113-016-1055-7
   Virtanen P, 2020, NAT METHODS, V17, P261, DOI 10.1038/s41592-019-0686-2
   Wartmann FM, 2021, LANDSCAPE ECOL, V36, P2367, DOI 10.1007/s10980-021-01290-y
   Wilkins D., 2021, PACKAGE TREEMAPIFY D
   With KA, 1997, CONSERV BIOL, V11, P1069, DOI 10.1046/j.1523-1739.1997.96210.x
   With KA., 2019, Essentials of Landscape Ecology, DOI [10.1093/oso/9780198838388.001.0001, DOI 10.1093/OSO/9780198838388.001.0001]
   With KA, 2016, LANDSCAPE ECOL, V31, P969, DOI 10.1007/s10980-015-0328-8
   Wu JG, 2021, LANDSCAPE ECOL, V36, P2453, DOI 10.1007/s10980-021-01245-3
   Ziter C, 2017, LANDSCAPE ECOL, V32, P2205, DOI 10.1007/s10980-017-0545-4
   Ziter C, 2014, OECOLOGIA, V176, P893, DOI 10.1007/s00442-014-3061-0
NR 126
TC 22
Z9 23
U1 6
U2 84
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 MAR
PY 2022
VL 37
IS 3
BP 913
EP 934
DI 10.1007/s10980-021-01377-6
EA JAN 2022
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 ZN2LW
UT WOS:000740600000001
DA 2025-01-10
ER

PT J
AU Ilba, M
   Alexandru, DE
   Zotic, V
   Holuj, A
   Litynski, P
   Semczuk, M
   Serafin, P
AF Ilba, Mateusz
   Alexandru, Diana-Elena
   Zotic, Vasile
   Holuj, Artur
   Litynski, Piotr
   Semczuk, Marcin
   Serafin, Piotr
TI Planning for Urban Development in the Context of Climate Change.
   Evidence from Poland and Romania
SO JOURNAL OF SETTLEMENTS AND SPATIAL PLANNING
LA English
DT Article
DE climate change; urban planning; development strategy; adaptation and
   mitigation measures; regulatory framework; natural risks; smart and
   carbon-neutral city
ID FLOOD RISK-MANAGEMENT; FLASH FLOODS; THERMAL-PROPERTIES; AIR-POLLUTION;
   RIVER FLOODS; GREEN ROOF; CITY; MITIGATION; CITIES; CARPATHIANS
AB Climate change effects are becoming increasingly noticeable especially in the dynamic and overcrowded city areas. The frequency of occurrence and ways of appearance of natural risks along with the negative effects of intensive economic activities, energy conventional production, unsustainable transportation and energy consumption determine increases in dysfunctions that must be managed by the local authorities in the long term. This study addresses climate change in relation to policy and regulatory framework for urban planning. The article portrays several climate change-related threats that usually occur in urban areas, which are emphasized in the scientific literature, but also exemplifies practical solutions formulated by planners in their strategy for sustainable urban development as counteracting the current specific threats. The selected case studies are the cities of Krakow in Poland and of Cluj-Napoca in Romania. Results of the literature review show that the main risks related to sustainability of the urban areas, as effects of the climate change and man-made actions, are correspondingly visible and addressed in the main strategic plans at the local level, adopted by the city authorities as practical measures and actions to be implemented by 2030 aiming to limit the effects of the climate changes that arise, as well as to limit the causes that generate these changes. By implementing the proposed measures and by achieving the objectives described in the presented action plans, both of the selected cities prove their engagement in the European mission of climate change adaptation and mitigation.
C1 [Ilba, Mateusz; Semczuk, Marcin; Serafin, Piotr] Krakow Univ Econ, Coll Publ Econ & Adm, Inst Spatial Management & Urban Studies, Dept Social Econ Geog, Krakow, Poland.
   [Holuj, Artur; Litynski, Piotr] Krakow Univ Econ, Coll Publ Econ & Adm, Inst Spatial Management & Urban Studies, Dept Spatial Management, Krakow, Poland.
   [Alexandru, Diana-Elena; Zotic, Vasile; Holuj, Artur] Babes Bolyai Univ, Fac Geog, Ctr Res Settlements & Urbanism, Dept Human Geog & Tourism, Cluj Napoca, Romania.
C3 Cracow University of Economics; Cracow University of Economics; Babes
   Bolyai University from Cluj
RP Alexandru, DE (corresponding author), Babes Bolyai Univ, Fac Geog, Ctr Res Settlements & Urbanism, Dept Human Geog & Tourism, Cluj Napoca, Romania.
EM ilbam@uek.krakow.pl; diana.alexandru@ubbcluj.ro;
   vasile.zotic@ubbcluj.ro; holuja@uek.krakow.pl; litynskp@uek.krakow.pl;
   semczukm@uek.krakow.pl; serafinp@uek.krakow.pl
OI Alexandru, Diana-Elena/0000-0002-2221-9316; Litynski,
   Piotr/0000-0002-1400-5545; Zotic, Vasile/0000-0002-4489-0637; Holuj,
   Artur/0000-0003-1676-8965; Semczuk, Marcin/0000-0003-2327-148X
FU Krakow University of Economics, Poland [52 / GGR / 2020 / POT]
FX This research was conducted under "Cities, suburbs and peripheries in
   the theory and in the empirical studies" Potential Program No. 52 / GGR
   / 2020 / POT. Project duration: April 8, 2020 - October 31, 2022.
   Funding institution: Krakow University of Economics, Poland.
CR Akbari H, 2001, SOL ENERGY, V70, P295, DOI 10.1016/S0038-092X(00)00089-X
   Alfieri L, 2015, HYDROL EARTH SYST SC, V19, P2247, DOI 10.5194/hess-19-2247-2015
   Amin MSR, 2020, INT J PAVEMENT ENG, V21, P63, DOI 10.1080/10298436.2018.1436706
   [Anonymous], 2022, EU missions: 100 climate-neutral and smart cities, DOI DOI 10.2777/191876
   Sobrino JA, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12020218
   Bandhu HK, 2000, NUCL INSTRUM METH B, V160, P126, DOI 10.1016/S0168-583X(99)00574-1
   Bezak N, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su131810099
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Boyd D, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103563
   Bryndal T, 2017, NAT HAZARDS, V88, P95, DOI 10.1007/s11069-017-2858-7
   BURBY RJ, 1994, PUBLIC ADMIN REV, V54, P229, DOI 10.2307/976725
   Burby RJ, 1999, J AM PLANN ASSOC, V65, P247, DOI 10.1080/01944369908976055
   Chan FKS, 2018, LAND USE POLICY, V76, P772, DOI 10.1016/j.landusepol.2018.03.005
   Cheng V., 2006, P PLEA 2006 23 INT C
   Cluj-Napoca City Council, 2021, STRATEGIA INTEGRATA
   D'Ayala D, 2020, NAT HAZARD EARTH SYS, V20, P2221, DOI 10.5194/nhess-20-2221-2020
   DeGaetano AT, 1999, CLIMATIC CHANGE, V42, P539, DOI 10.1023/A:1005413410160
   Dhorde A, 2009, J INDIAN GEOPHYS UNI, V13, P85
   Douben KJ, 2006, IRRIG DRAIN, V55, pS9, DOI 10.1002/ird.239
   Eliasson I, 2000, LANDSCAPE URBAN PLAN, V48, P31, DOI 10.1016/S0169-2046(00)00034-7
   Eliasson I, 1996, ATMOS ENVIRON, V30, P379, DOI 10.1016/1352-2310(95)00033-X
   European Commission, 2021, EUROPEAN DIRECTIVE E
   European Commission, 2016, Urban Agenda for the EU
   European Commission, 2019, Striving to be the First Climate-Neutral Continent
   European Commission, 2022, EUR GREEN DEAL 4 11
   European Environment Agency, 2020, EEA REP URB AD EUR C
   Fussel H. M., 2012, INDICATOR BASED REPO
   GARSTANG M, 1975, REV GEOPHYS, V13, P139, DOI 10.1029/RG013i001p00139
   Gaume Eric., 2016, The Mediterranean Region under Climate Change. A Scientific Update, P133
   Geros V, 2005, ENERG BUILDINGS, V37, P243, DOI 10.1016/j.enbuild.2004.06.024
   Ghaleh Marzieh Rezaei, 2020, Proceedings of the 2020 IEEE International Symposium on Technology and Society (ISTAS), P417, DOI 10.1109/ISTAS50296.2020.9462209
   Godschalk D., 1998, Cooperating with nature, P85
   Göpfert C, 2020, CITY ENVIRON INTERAC, V8, DOI 10.1016/j.cacint.2020.100052
   Government of Romania, 2018, ROM NAT SUST DEV STR
   Grafakos S, 2020, RENEW SUST ENERG REV, V121, DOI 10.1016/j.rser.2019.109623
   Gustafsson Ö, 2016, P NATL ACAD SCI USA, V113, P4243, DOI 10.1073/pnas.1603570113
   Haynes K, 2009, ENVIRON HAZARDS-UK, V8, P291, DOI 10.3763/ehaz.2009.0022
   Holopainen Markus, 2006, Urban Forestry & Urban Greening, V4, P75, DOI 10.1016/j.ufug.2005.11.002
   Huber V, 2020, ENVIRON RES, V186, DOI 10.1016/j.envres.2020.109447
   Hurlimann A, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105188
   Kadaverugu A, 2021, MODEL EARTH SYST ENV, V7, P589, DOI 10.1007/s40808-020-00937-0
   Karbowski A, 2005, DECIS SUPPORT SYST, V38, P599, DOI 10.1016/j.dss.2003.10.001
   Kimote J., 2020, THESIS U NAIROBI
   Kundzewicz ZW, 2010, WATER RESOUR MANAG, V24, P2633, DOI 10.1007/s11269-009-9571-6
   Makkonen R, 2012, ATMOS CHEM PHYS, V12, P1515, DOI 10.5194/acp-12-1515-2012
   Ministry of Energy, 2020, PLANUL NATL INTEGRAT
   Ministry of Environment and Climate Change, 2013, NAT STRAT AD CLIM CH
   Monjezi M, 2009, ENVIRON GEOL, V58, P205, DOI 10.1007/s00254-008-1509-4
   Nassary EK, 2022, J ENVIRON MANAGE, V310, DOI 10.1016/j.jenvman.2022.114786
   Pham NTT, 2020, CLIM RISK MANAG, V28, DOI 10.1016/j.crm.2020.100215
   Niachou A, 2001, ENERG BUILDINGS, V33, P719, DOI 10.1016/S0378-7788(01)00062-7
   NIS, 2022, ONL DAT
   Parker D, 2000, FLOODS, V1, DOI [10.4324/9781315830889, DOI 10.4324/9781315830889]
   Pasimeni MR, 2019, ENVIRON SCI POLICY, V95, P20, DOI 10.1016/j.envsci.2019.02.002
   Pawattana C, 2008, GISCI REMOTE SENS, V45, P343, DOI 10.2747/1548-1603.45.3.343
   Pietrapertosa F, 2019, CITIES, V91, P93, DOI 10.1016/j.cities.2018.11.009
   Robinson CT, 2008, ECOL APPL, V18, P511, DOI 10.1890/07-0886.1
   Romanian Parliament, 2001, LEGE NR 3 DIN 2 FEBR
   Royé D, 2020, ENVIRON RES, V183, DOI 10.1016/j.envres.2020.109237
   Ryan D., 2020, THESIS U LIMERICK
   Sakai T., 2008, Agric Eng Int CIGR J
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   Sippel S, 2020, NAT CLIM CHANGE, V10, P35, DOI 10.1038/s41558-019-0666-7
   STAES C, 1994, INT J EPIDEMIOL, V23, P968, DOI 10.1093/ije/23.5.968
   Szymalski W., 2019, INSTYTUT RZECZ EKORO
   Takebayashi H, 2007, BUILD ENVIRON, V42, P2971, DOI 10.1016/j.buildenv.2006.06.017
   UMK Krakow, 2019, PLAN ADAPTACJI MIAST
   United Nations, 2015, No.A/RES/70/1.
   Watts M, 2017, NAT CLIM CHANGE, V7, P537, DOI 10.1038/nclimate3358
   WYZGA B, 1993, EARTH SURF PROCESSES, V18, P541, DOI 10.1002/esp.3290180607
   Xing Y, 2019, NAT HAZARDS, V96, P473, DOI 10.1007/s11069-018-3553-z
   Yang JC, 2016, BUILD ENVIRON, V108, P110, DOI 10.1016/j.buildenv.2016.08.021
   Yesilnacar MI, 2013, B ENG GEOL ENVIRON, V72, P485, DOI 10.1007/s10064-013-0512-5
NR 73
TC 2
Z9 2
U1 4
U2 9
PU CLUJ UNIV PRESS
PI CLUJ NAPOCA
PA STRADA B P HASDEU NR 51, CLUJ NAPOCA, 400371, ROMANIA
SN 2069-3419
EI 2248-2199
J9 J SETTL SPAT PLAN
JI J. Settl. Spat. Plan.
PY 2022
VL 13
SI 10
BP 75
EP 87
DI 10.24193/JSSPSI.08.CSPTER
PG 13
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA D8IH5
UT WOS:000971104500008
OA gold
DA 2025-01-10
ER

PT J
AU Hulicka, A
   Lucas, P
   Carson, L
AF Hulicka, Anna
   Lucas, Patrick
   Carson, Lisa
TI Policy transfer across governance systems: an adapted approach
SO POLICY STUDIES
LA English
DT Article
DE Policy transfer; metropolitan governance; climate change; green
   politics; multilevel governance
ID MULTILEVEL GOVERNANCE; CITIES; MOBILITIES
AB This paper identifies the impact governance types can have on the transfer of city-scale climate change policy. We develop a new adaptation of the policy transfer heuristic (based on the work of Dolowitz, D., and D. Marsh. 1996. "Who Learns What from Whom: A Review of the Policy Transfer Literature." Political Studies; Evans, Mark. 2009a. "New Directions in the Study of Policy Transfer." Policy Studies 30 (3): 237-241. doi:10.1080/01442870902863810) which draws attention to different types of multilevel governance systems (Hooghe, Liesbet, and Gary Marks. 2003. "Unraveling the Central State, but How? Types of Multi-Level Governance." American Political Science Review 97: 02. doi:10.1017/S0003055403000649). This new adaption, "Policy Transfer Across Governance Systems" (PTAGS) heuristic helps to anticipate challenges and opportunities for potential transfer (Manwaring, Rob. 2016. "The Big Society in Australia: A Case of 'Non'-Policy Transfer?" Australian Journal of Public Administration 75 (2): 191-201. doi:10.1111/1467-8500.12164). To demonstrate this, we present three hypothetical scenarios of policy transfer from the European Union Green Capital Awards (EUGCA) to Australia. Using PTAGS reveals three main complexities that policy actors' may face when developing city-scale climate change policy. These are: problem identification; the type of transfer networks used; and what aspects of policy contents and goals can be transferred. We argue that the adapted PTAGS heuristic enables a more nuanced understanding of the dynamics of transfer across different governance systems. This can better equip policy actors and relevant stakeholders to develop more holistic city-scale climate change adaptation policy that draws on the strengths of governance systems rather than amplifying their weaknesses.
C1 [Hulicka, Anna] Jagiellonian Univ, Inst Geog & Spatial Management, Krakow, Poland.
   [Lucas, Patrick; Carson, Lisa] Australia & New Zealand Sch Govt, Melbourne, Vic, Australia.
   [Carson, Lisa] Univ New South Wales, Publ Serv Res Grp, Canberra, ACT, Australia.
   [Lucas, Patrick] Univ New South Wales, Sch Business, Canberra, ACT, Australia.
C3 Jagiellonian University; Australia & New Zealand School of Government;
   University of New South Wales Sydney; University of New South Wales
   Sydney
RP Lucas, P (corresponding author), Australia & New Zealand Sch Govt, Melbourne, Vic, Australia.
EM p.austin.lucas@gmail.com
OI Carson, Lisa/0000-0002-7786-1082
FU Australian Government Research Training Scholarship
FX This work was supported by Australian Government Research Training
   Scholarship.
CR ABS Australian Bureau of Statistics, 2019, 32180 REG POP GROWTH
   Alford J, 2017, POLICY SOC, V36, P397, DOI 10.1080/14494035.2017.1361634
   ALGA Australian Local Government Association, 2019, SUBM RESP CLIM CHANG
   Anderberg S., 2013, Green and sustainable Oresund region: Eco-branding Copenhagen and Malmo, P591
   Andersson I, 2016, EUR PLAN STUD, V24, P1197, DOI 10.1080/09654313.2016.1152233
   Australia and Department of the Prime Minister and Cabinet, 2017, LAUNC CIT DEAL SMART
   Bache Ian., 2007, ENCY GOVERNANCE, DOI [10.4135/9781412952613.n336, DOI 10.4135/9781412952613.N336]
   Banksia Foundation, 2016, BANKS WHIT PAP 2016
   Banksia Foundation, AWARDS
   BENNETT CJ, 1992, POLICY SCI, V25, P275, DOI 10.1007/BF00138786
   Bennett R., 2003, International Public Management Review, V4, P70
   Benson D, 2011, POLIT STUD REV, V9, P366, DOI 10.1111/j.1478-9302.2011.00240.x
   Benson David., 2009, CSERGE WORKING PAPER
   Betsill MM, 2004, INT STUD QUART, V48, P471, DOI 10.1111/j.0020-8833.2004.00310.x
   Bureau of Infrastructure Transport and Regional Economics, 2020, NAT CIT PERF FRAM BU
   Burton Paul., 2016, CONVERSATION
   Climate Emergency Declaration, 2020, CLIM EM DEC 1482 JUR
   Colvin Rebecca., 2020, CONVERSATION 1028
   Commonwealth of Australia, 2019, DARW CIT DEAL
   Commonwealth of Australia, 2016, SMART CIT PLAN
   Commonwealth of Australia, 2019, AD CIT DEAL, P28
   Commonwealth of Australia, 2019, HOB CIT DEAL
   Commonwealth of Australia, 2016, TOWNSV CIT DEAL, P36
   Commonwealth of Australia, 2018, W SYDN CIT DEAL
   Commonwealth of Australia Morrison Mp Tudge Mp Andrews Mp Symes Mlc and Cr Bruce Harwood, 2019, GEEL CIT DEAL
   Coutts AM, 2013, PROG PHYS GEOG, V37, P2, DOI 10.1177/0309133312461032
   Davidson K, 2018, URBAN POLICY RES, V36, P230, DOI 10.1080/08111146.2017.1354848
   Davidson K, 2015, GLOBAL ENVIRON POLIT, V15, P21, DOI 10.1162/GLEP_a_00321
   Department of Infrastructure Regional Development and Cities, 2019, CITY DEALS
   Dolowitz D, 1996, POLIT STUD-LONDON, V44, P343, DOI 10.1111/j.1467-9248.1996.tb00334.x
   Dolowitz DP, 2012, POLIT STUD REV, V10, P339, DOI 10.1111/j.1478-9302.2012.00274.x
   Dolowitz DP, 2000, GOVERNANCE, V13, P5, DOI 10.1111/0952-1895.00121
   EPA Tasmania Environmental Protection Agency, AW AUSTR EPA TASM
   EUGCA, EUR GREEN CAP
   Evans M, 1999, PUBLIC ADMIN, V77, P361, DOI 10.1111/1467-9299.00158
   Evans M, 2009, POLICY STUD-UK, V30, P237, DOI 10.1080/01442870902863810
   Evans M, 2009, POLICY STUD-UK, V30, P243, DOI 10.1080/01442870902863828
   Evans Mark, 2019, The Oxford handbook of global policy and transnational administration, P94
   Gonzales-Iwanciw J, 2020, J ENVIRON PLANN MAN, V63, P779, DOI 10.1080/09640568.2019.1594725
   Gudmundsson Henrik., 2015, TOSHI KEIKAKU, V64, P2
   Hanmer Geoff., 2020, CONVERSATION 1023
   Homsy GC, 2015, URBAN AFF REV, V51, P46, DOI 10.1177/1078087414530545
   Hooghe L, 2003, AM POLIT SCI REV, V97, P233
   Infrastructure Australia, 2018, FUT CIT PLANN OUR GR
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Kilvert Nick., 2020, ABC NEWS 0216
   Manwaring R, 2016, AUST J PUBL ADMIN, V75, P191, DOI 10.1111/1467-8500.12164
   Marsh D, 2009, POLICY STUD-UK, V30, P269, DOI 10.1080/01442870902863851
   McCann EJ, 2004, URBAN STUD, V41, P1909, DOI 10.1080/0042098042000256314
   McCann E, 2013, URBAN GEOGR, V34, P5, DOI 10.1080/02723638.2013.778627
   McCann E, 2012, POLIT STUD REV, V10, P325, DOI 10.1111/j.1478-9302.2012.00276.x
   Melbourne Water, 2017, PLANNING SEA LEVEL R
   Newton Peter., 2018, AUSTRALIAS METROPOLI, P193
   O'Neill SJ, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014018
   Queensland c=AU; o=The State of, 2019, 2018 A REC PREV WINN
   Queensland c=AU; o=The State of, PREMIERS AWARDS EXCE
   Resilient Melbourne, 2016, RES MELB STRAT
   Rose R., 1991, J PUBLIC POLICY, V11, P3, DOI [DOI 10.1017/S0143814X00004918, 10.1017/S0143814X00004918]
   SBS, 2019, SBS NEWS
   South Australia SA Government of, 2018 SA CLIM LEAD AW
   South Australia SA Government of, 2018, PREM CLIM CHANG COUN
   Stephenson P, 2013, J EUR PUBLIC POLICY, V20, P817, DOI 10.1080/13501763.2013.781818
   Stone D, 2000, GOVERNANCE, V13, P45, DOI 10.1111/0952-1895.00123
   Stone D., 2001, LEARNING LESSONS POL
   Stone D, 2012, POLICY STUD-UK, V33, P483, DOI 10.1080/01442872.2012.695933
   Stubbs P., 2005, SE EUROPEAN POLITICS, V6, P66
   Sustainability Victoria, GOV
   Tomlinson R., 2018, AUSTRALIAS METROPOLI
   Tomlinson R, 2019, AUST J PUBL ADMIN, V78, P213, DOI 10.1111/1467-8500.12387
   Trigg M., 2010, SUSTAINABLE CITIES I
   UN United Nations, CITIES UN SUST DEV A
   Vaihinger Hans., 1935, The Philosophy of 'as if': A System of the Theorethical, Practical and Religious Fictions of Mankind
   Varjú V, 2022, POLICY STUD-UK, V43, P943, DOI 10.1080/01442872.2021.1882670
   Victoria and Land Department of Environment Water and Planning, 2016, VICT CLIM CHANG AD P
   Walker C, 2023, POLICY STUD-UK, V44, P26, DOI 10.1080/01442872.2021.1980521
   WENDT AE, 1987, INT ORGAN, V41, P335, DOI 10.1017/S002081830002751X
   Wolman H, 2002, GOVERNANCE, V15, P477, DOI 10.1111/1468-0491.00198
NR 77
TC 2
Z9 2
U1 5
U2 39
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0144-2872
EI 1470-1006
J9 POLICY STUD-UK
JI Policy Stud.
PD JAN 2
PY 2023
VL 44
IS 1
SI SI
BP 4
EP 25
DI 10.1080/01442872.2021.1987407
EA OCT 2021
PG 22
WC Public Administration
WE Social Science Citation Index (SSCI)
SC Public Administration
GA 7K4NF
UT WOS:000706226700001
DA 2025-01-10
ER

PT J
AU Wens, MLK
   Mwangi, MN
   van Loon, AF
   Aerts, JCJH
AF Wens, Marthe L. K.
   Mwangi, Moses N.
   van Loon, Anne F.
   Aerts, Jeroen C. J. H.
TI Complexities of drought adaptive behaviour: Linking theory to data on
   smallholder farmer adaptation decisions
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Adaptive behaviour; Disaster risk reduction; Protection motivation
   theory; Theory of planned behaviour; Expected utility theory;
   Smallholder farmers; Adaptation decisions; Drought risk; Kenya
ID CLIMATE-CHANGE ADAPTATION; SMALL-SCALE FARMERS; PROTECTION MOTIVATION;
   CHOICE EXPERIMENT; PLANNED BEHAVIOR; MAKUENI DISTRICT; PROSPECT-THEORY;
   OKANAGAN BASIN; MEKONG DELTA; RISK
AB Smallholder farmers in semi-arid regions continuously face drought risk, leading to recurring crop damage, income loss and food insecurity, and they are taking adaptive measures to cope with this risk. By comparing and combining empirical data and existing behavioural theories, we studied the complexity of smallholder farmers' adaptive behaviour in Kitui, Kenya. We conducted interviews with key informants, a survey of disaster managers and an extensive questionnaire and choice experiment among local smallholders, and found that mistrust in forecasting and a strong belief in God appeared to be barriers to adaptation, while farm groups and past adaptation decisions seemed to stimulate the intention to adopt new measures. Our results confirmed the importance of several components of existing bounded rational theories in that risk appraisal, social norm, selfefficacy and response cost and efficacy significantly influence adaptive behaviour under drought risk. However, none of the evaluate theories could fully explain the observed behaviour. We further demonstrated that tailored extension services, improved early warning systems, ex-ante cash aid and low interest credit schemes increase the intention to adapt. While a general aversion to the current situation was evident, there was great heterogeneity in the preferences for these policies. Findings of this the extensive data collection and analysis can be used to identify the most vulnerable groups and develop well-targeted adaptation policies, and for designing, calibrating and validating of utility functions to model heterogeneous adjustment decisions in dynamic drought risk models.
C1 [Wens, Marthe L. K.; van Loon, Anne F.; Aerts, Jeroen C. J. H.] Vrije Univ Amsterdam, Inst Environm Studies, Dept Water & Climate Risk, Amsterdam, Netherlands.
   [Mwangi, Moses N.] South Eastern Kenya Univ, Sch Environm Water & Nat Resources Management, Kitui, Kenya.
C3 Vrije Universiteit Amsterdam
RP Wens, MLK (corresponding author), Boelelaan 1111, NL-1081 HV Amsterdam, Netherlands.
EM marthe.wens@vu.nl
RI Van Loon, Anne/ADL-7862-2022; Aerts, Jeroen/M-8431-2013; Wens,
   Marthe/HLP-9895-2023
OI Van Loon, Anne F./0000-0003-2308-0392; Wens, Marthe/0000-0002-0133-5924
FU Netherlands Organization for Scientific Research VICI research project
   [453-583 13-006]; European Research Council [884442, 948601]; European
   Research Council (ERC) [948601] Funding Source: European Research
   Council (ERC)
FX The authors would like to thank Dr. Ralph Lasage, Prof. Mary Mburu, Mr.
   Mutinda Munguti and the entire Sasol staff, for their help in setting up
   the data collection effort. This research would not have been possible
   without the help in the field of Emmanuel Mboi, Bobsammy Mwende,
   Nicholas Nzuka and Stellah Kitonga. We gratefully acknowledge Aisha
   Maeda, Nick Van der Lee, Sarah Huelsen, Lisan Bijlewaerde and Merel
   Laauwen for their help with survey data collection and data analysis.
   Lastly, we would like to express sincere gratitude to the scientist
   reviewing this manuscript who provided constructive feedback allowing us
   to improve it significantly. This research is funded by the Netherlands
   Organization for Scientific Research VICI research project number
   453-583 13-006 and European Research Council grants nos. 884442 and
   948601.
CR Adimo AO, 2012, MITIG ADAPT STRAT GL, V17, P153, DOI 10.1007/s11027-011-9318-6
   Alessandro S.D., 2015, KENYA AGR RISK ASSES
   [Anonymous], 2009, INT FOOD POLICY RES
   [Anonymous], 1997, EMPIRICALLY GROUNDED
   [Anonymous], 2015, HYDROL EARTH SYST SC, DOI DOI 10.5194/hess-19-3667-2015
   [Anonymous], 2019, WATER RESOUR RES, DOI DOI 10.1029/WR023901
   [Anonymous], 1944, THEORY GAMES EC BEHA
   [Anonymous], 2009, DROUGHT RISK RED FRA
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Asayehegn K, 2017, CAH AGRIC, V26, DOI 10.1051/cagri/2017007
   Asgary A, 2009, INT J ENVIRON RES, V3, P379
   Barreteau O, 2014, ADV INTELL SYST, V229, P237, DOI 10.1007/978-3-642-39829-2_21
   Barthel R, 2008, ENVIRON MODELL SOFTW, V23, P1095, DOI 10.1016/j.envsoft.2008.02.004
   Bateman I., 2013, EC VALUATION STATED
   Bedeke S, 2019, NJAS-WAGEN J LIFE SC, V88, P96, DOI 10.1016/j.njas.2018.09.001
   Below T., 2010, REV SELECTED LIT, V953, P1
   Below T., 2010, DISCUSS PAP MICROLEV, V953, P28
   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
   Bhavnani R, 2008, DISASTER RISK REDUCT
   Blaauw D, 2010, B WORLD HEALTH ORGAN, V88, P350, DOI 10.2471/BLT.09.072918
   Blair P, 2016, HYDROL EARTH SYST SC, V20, P443, DOI 10.5194/hess-20-443-2016
   Blauhut V, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/1/014008
   Borges J. A. R., 2015, African Journal of Agricultural Research, V10, P2814
   Bouziotas D., 2017, HYDROL EARTH SYST SC, DOI [10.5194/hess-2017-107, DOI 10.5194/HESS-2017-107]
   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
   Bryan K, 2019, WATER RESOUR MANAG, V33, P1185, DOI 10.1007/s11269-018-2175-2
   Bunclark L, 2018, GLOBAL ENVIRON CHANG, V48, P243, DOI 10.1016/j.gloenvcha.2017.12.004
   Carlton JS, 2016, CLIMATIC CHANGE, V135, P211, DOI 10.1007/s10584-015-1561-5
   Cerreia-Vioglio S, 2013, P NATL ACAD SCI USA, V110, P6754, DOI 10.1073/pnas.1207805110
   Claessens L, 2012, AGR SYST, V111, P85, DOI 10.1016/j.agsy.2012.05.003
   Conrad SA, 2018, J HYDROL, V564, P846, DOI 10.1016/j.jhydrol.2018.07.031
   Conrad S, 2017, WATER RESOUR MANAG, V31, P2837, DOI 10.1007/s11269-017-1666-x
   County Government of Kitui and Kitui County, 2013, 1 COUNT INT DEV PLAN
   Croissant Y., 2003, DATA MANAG, V73
   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 Baldassarre G, 2015, WATER RESOUR RES, V51, P4770, DOI 10.1002/2014WR016416
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Dobbie S., 2013, SIMULATING HOUSEHOLD
   Drechsel P., 2005, Adoption driver and constraints of resource conservation technologies in sub-Saharan Africa. In, P1
   Eiser JR, 2012, INT J DISAST RISK RE, V1, P5, DOI 10.1016/j.ijdrr.2012.05.002
   Ejeta Luche Tadesse, 2015, PLoS Curr, V7, DOI 10.1371/currents.dis.31a8995ced321301466db400f1357829
   Epule TE, 2017, ENVIRON SCI POLICY, V75, P121, DOI 10.1016/j.envsci.2017.05.018
   Erenstein O., 2011, Characterization of maize producing households in drought prone regions of Eastern Africa
   Eriksen S, 2009, ENVIRON MANAGE, V43, P817, DOI 10.1007/s00267-008-9189-0
   Evelyn M.J., 2018, FACTORS INFLUENCING
   Findlater KM, 2019, RISK ANAL, V39, P1755, DOI 10.1111/risa.13290
   de Jalón SG, 2018, ENVIRON SCI POLICY, V90, P38, DOI 10.1016/j.envsci.2018.09.013
   de Jalón SG, 2016, MITIG ADAPT STRAT GL, V21, P779, DOI 10.1007/s11027-014-9626-8
   Gbegbelegbe S, 2018, CLIM DEV, V10, P289, DOI 10.1080/17565529.2017.1374236
   Gebrehiwot T, 2015, ENVIRON MANAGE, V55, P588, DOI 10.1007/s00267-014-0415-7
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Gies L, 2014, NAT HAZARDS, V74, P789, DOI 10.1007/s11069-014-1216-2
   Gigerenzer G, 1996, PSYCHOL REV, V103, P650, DOI 10.1037/0033-295X.103.4.650
   Giordano R, 2005, PHYS CHEM EARTH, V30, P463, DOI 10.1016/j.pce.2005.06.012
   Giordano R, 2010, STUD FUZZ SOFT COMP, V247, P403
   Gladys K.V., 2017, INT J DEV SUSTAINABI, V6, P924
   Government of Kenya, 2014, END DROUGHT EM COMM
   Government of Repblic of Kenya, 2014, END DROUGHT EM COMM
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hailegiorgis A, 2018, JASSS-J ARTIF SOC S, V21, DOI 10.18564/jasss.3812
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Dang HL, 2014, NAT HAZARDS, V71, P385, DOI 10.1007/s11069-013-0931-4
   Holden S.T., 2015, Risk Preferences, Shocks and Technology Adoption: Farmers Responses to Drought Risk
   Holden ST, 2017, EUR REV AGRIC ECON, V44, P285, DOI 10.1093/erae/jbw016
   Holm S, 2016, JASSS-J ARTIF SOC S, V19, DOI 10.18564/jasss.3121
   Jager W., 2012, WORKSH COMPL REAL WO
   Janssen MA, 2006, ECOL SOC, V11
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   KASPERSON RE, 1988, RISK ANAL, V8, P177, DOI 10.1111/j.1539-6924.1988.tb01168.x
   KEFRI TARDA and CDA, 2014, INT PROGR BUILD RES
   Keshavarz M., 2010, American-Eurasian Journal of Agricultural and Environmental Science, V7, P415
   Keshavarz M, 2016, J ARID ENVIRON, V127, P128, DOI 10.1016/j.jaridenv.2015.11.010
   Keshavarz M, 2014, J ARID ENVIRON, V108, P43, DOI 10.1016/j.jaridenv.2014.03.006
   Khisa G.V., 2014, J AGR NAT RESOUR SCI, V1, P71
   Khisa G.V., 2018, INT J SUSTAIN DEV PL, V7, P70
   Khisa G.V., 2014, AGR PRODUCTION KITUI
   Khisa G.V., 2014, J AGR NAT RES SCI, V1, P34
   Kimani M.W., 2015, International Journal of Engineering and Science, V5, P39
   Kioko M.J. B., 2013, European Scientific Journal, V9, P29, DOI 10.19044/esj.2013.v9n5p%25p
   Kitui County, 2018, COUNT GOVT KIT
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Kremmydas D, 2018, AGR SYST, V164, P95, DOI 10.1016/j.agsy.2018.03.010
   Kursa MB, 2010, J STAT SOFTW, V36, P1, DOI 10.18637/jss.v036.i11
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Lasage R, 2008, PHYS CHEM EARTH, V33, P67, DOI 10.1016/j.pce.2007.04.009
   MADDEN TJ, 1992, PERS SOC PSYCHOL B, V18, P3, DOI 10.1177/0146167292181001
   MADDUX JE, 1983, J EXP SOC PSYCHOL, V19, P469, DOI 10.1016/0022-1031(83)90023-9
   Malawska A, 2016, AGR SYST, V143, P136, DOI 10.1016/j.agsy.2015.12.014
   Matere S.J., 2016, FINANCIAL BENEFIT CO, V5, P140
   McFadden D, 2000, J APPL ECONOMET, V15, P447, DOI 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   Mehryar S, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109482
   Mfitumukiza D., 2017, International Journal of Agriculture and Forestry, V7, P67
   Mfitumukiza D., 2017, Ecosystem-based Adaptation to Drought among Agro-pastoral Farmers: Opportunities and Constraints in Nakasongola District, Central Uganda, V6, P31, DOI [10.5296/emsd.v6i2.11132, DOI 10.5296/EMSD.V6I2.11132]
   Miller R.L, 2018, IGI GLOBAL COM, P1736
   Mogomotsi PK, 2020, CLIMATIC CHANGE, V159, P441, DOI 10.1007/s10584-019-02645-w
   Montanari A, 2015, WATER RESOUR RES, V51, P4768, DOI 10.1002/2015WR017430
   Muhammad L., 2010, CHARACTERIZATION MAI
   Muhammad L., 2010, CHARACTERIZATION MAI, P32
   Murgor F. A., 2013, Journal of Emerging Trends in Economics and Management Sciences, V4, P133
   Murungweni C, 2011, ECOL SOC, V16, DOI 10.5751/ES-04393-160408
   Mutoko M.C., 2014, Adoption of climate-smart agriculture: Lessons learnt from the Mitigation of Climate Change in Agriculture
   Mutunga E., 2018, Int. J. Environ. Sci. Nat. Resour, V8, P155, DOI [10.19080/IJESNR.2018.08.555746, DOI 10.19080/IJESNR.2018.08.555746]
   Mutunga E. J., 2017, Journal of Earth Science & Climatic Change, V8, P389
   Mwaluma D.M., FRAMEWORK
   Mwangi HW, 2015, EUR J AGRON, V69, P1, DOI 10.1016/j.eja.2015.05.001
   National Drought Management Authority (NDMA), 2015, COMM PROGR FRAM END, P38
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Nkatha K.D., 2017, FACTORS INFLUENCING
   Nthenge A. Kasyoka, 2016, THESIS SCH ENV NATUR
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Okumu O.F, 2013, SMALL SCALE FARMERSP
   Okumu O.F, 2013, SMALLSCALE FARMERS P
   Omoyo N.N., 2015, AGR FOOD SECURITY, V4, P1, DOI 10.1186/s40066-015-0028-2
   Oremo F.O, 2013, THESIS CLIMTE CHANGE
   Owuor B, 2005, MT RES DEV, V25, P310, DOI 10.1659/0276-4741(2005)025[0310:ATCCIA]2.0.CO;2
   Pechey R, 2014, SOC SCI MED, V113, P104, DOI 10.1016/j.socscimed.2014.05.010
   Rao KPC, 2011, EXP AGR, V47, P267, DOI 10.1017/S0014479710000918
   Recha J, 2012, CLIMATE RELATED RISK
   Regasa D. T., 2019, Eur. Rev. Appl. Sociol, V12, P49, DOI [10.1515/eras-2019-0010, DOI 10.1515/ERAS-2019-0010]
   Republic of Kenya, 2013, NATL CLIMATE CHANGE
   Republic of Kenya, 2013, DROUGHT RISK MANAG P
   Robert M, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0402-x
   Ryffel AN, 2014, ECOSYST SERV, V10, P111, DOI 10.1016/j.ecoser.2014.09.008
   Schaafsma M., 2018, SCALING CLIMATE SMAR
   Schlüter M, 2017, ECOL ECON, V131, P21, DOI 10.1016/j.ecolecon.2016.08.008
   Schoderer M., 2017, CLIMATE RESILIENCE R
   Senger I, 2017, J RURAL STUD, V49, P32, DOI 10.1016/j.jrurstud.2016.10.006
   Senyolo M.P., 2018, J CLEAN PROD, V172, P3825, DOI [10.1016/j.jclepro.2017.06.019, DOI 10.1016/J.JCLEPRO.2017.06.019]
   Shikuku K., 2017, SUPPORT FARMER TOFAR
   Shikuku KM, 2017, CLIM RISK MANAG, V16, P234, DOI 10.1016/j.crm.2017.03.001
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Singh PK, 2017, CLIMATIC CHANGE, V140, P179, DOI 10.1007/s10584-016-1817-8
   Sivapalan M., 2016, GEOPH RES ABSTR, V18, P18221
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Smajgl A, 2017, ENVIRON MODELL SOFTW, V93, P29, DOI 10.1016/j.envsoft.2017.02.011
   Smajgl A, 2011, ENVIRON MODELL SOFTW, V26, P837, DOI 10.1016/j.envsoft.2011.02.011
   Speranza CI, 2010, EUR J DEV RES, V22, P623, DOI 10.1057/ejdr.2010.39
   Speranza CI, 2008, GLOBAL ENVIRON CHANG, V18, P220, DOI 10.1016/j.gloenvcha.2007.05.001
   Stefanovic Julia., 2015, Smallholder Farming Systems in Kenya: Climate Change Perception, Adaptation and Determinants
   Stern P. C., 1999, VALUE BELIEF NORM TH
   Sun ZL, 2013, ENVIRON MODELL SOFTW, V45, P15, DOI 10.1016/j.envsoft.2012.06.007
   Sutton S., 2001, CAMBRIDGE HDB PSYCHO, P223
   Szajna B, 1996, MANAGE SCI, V42, P85, DOI 10.1287/mnsc.42.1.85
   Tegemeo Institute, 2010, TEG AGR POL RES AN T
   Tegemeo Institute, 2004, TEG AGR POL RES AN T
   Tegemeo Institute, 2007, TEG AGR POL RES AN T
   Tessema YA, 2019, CLIM RISK MANAG, V23, P136, DOI 10.1016/j.crm.2018.09.003
   Tongruksawattana S., 2014, Climate shocks and choice of adaptation strategy for Kenyan maize-legume farmers: insights from poverty, food security and gender perspectives
   Tongruksawattana S, 2019, CLIM DEV, V11, P710, DOI 10.1080/17565529.2018.1562862
   Train, 2020, DISCRETE CHOICE METH, P13
   Train K.E, 2004, COMPUT MATH APPL, V47, P1148, DOI [10.1016/S0898-1221(04)90100-9, DOI 10.1016/S0898-1221(04)90100-9]
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   UNDP, 2009, CLIMATE CHANGE AFRIC
   UNDP, 2012, CLIM RISKS VULN GOV, P83
   UNDP, 2007, KENY NAT DIS PROF
   Valbuena D, 2010, LANDSCAPE URBAN PLAN, V97, P98, DOI 10.1016/j.landurbplan.2010.05.001
   van Duinen R., 2012, 6 BIENN M LEIPZ GERM
   van Duinen R, 2016, ANN REGIONAL SCI, V57, P335, DOI 10.1007/s00168-015-0699-4
   van Duinen R, 2015, REG ENVIRON CHANGE, V15, P1081, DOI 10.1007/s10113-014-0692-y
   van Duinen R, 2015, RISK ANAL, V35, P741, DOI 10.1111/risa.12299
   van Winsen F, 2016, J RISK RES, V19, P56, DOI 10.1080/13669877.2014.940597
   van Winsen F., 2010, COMBINING RISK PERCE
   Venzi F.S., 2015, AFRICAN J PROJ PLAN, V1
   Villanueva A.B., 2016, CCAFS INFO NOTE
   Waldman KB, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb909
   Wang K, 2015, J ENVIRON MANAGE, V160, P167, DOI 10.1016/j.jenvman.2015.06.007
   Wens M., 2019, INTEGRATING HUMAN BE
   Wens M, 2020, FRONT WATER, V2, DOI 10.3389/frwa.2020.00015
   Wens M, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1345
   Willy DK, 2013, ECOL ECON, V90, P94, DOI 10.1016/j.ecolecon.2013.03.008
   Wossen T, 2014, ENVIRON DEV, V12, P2, DOI 10.1016/j.envdev.2014.07.003
   Wossen T, 2013, INT J SUST DEV WORLD, V20, P477, DOI 10.1080/13504509.2013.856048
   Zeweld W, 2017, J ENVIRON MANAGE, V187, P71, DOI 10.1016/j.jenvman.2016.11.014
   Zheng Y, 2016, CLIM DEV, V8, P110, DOI 10.1080/17565529.2015.1005037
NR 177
TC 28
Z9 31
U1 7
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 SEP
PY 2021
VL 63
AR 102435
DI 10.1016/j.ijdrr.2021.102435
EA JUL 2021
PG 15
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 UF5OZ
UT WOS:000688624600004
OA hybrid
DA 2025-01-10
ER

PT J
AU Sun, XL
   Minasny, B
   Wang, HL
   Zhao, YG
   Zhang, GL
   Wu, YJ
AF Sun, Xiao-Lin
   Minasny, Budiman
   Wang, Hui-Li
   Zhao, Yu-Guo
   Zhang, Gan-Lin
   Wu, Yun-Jin
TI Spatiotemporal modelling of soil organic matter changes in Jiangsu,
   China between 1980 and 2006 using INLA-SPDE
SO GEODERMA
LA English
DT Article
DE Geostatistics; Pedometrics; Digital soil mapping; Soil carbon stock
ID LAND-USE; CARBON STOCK; UNCERTAINTY; CLIMATE; PROVINCE; TOPSOIL;
   FRACTIONS; MAPS; PH
AB The growing human population and demand for food have significantly impacted soil resources. Understanding the spatiotemporal change of soil conditions is important to support food production, environmental sustainability, and climate change adaptation. Nevertheless, spatiotemporal prediction of soil properties could be seriously influenced by the uncertainties of the data and model. Integrated Nested Laplace Approximation (INLA) with the Stochastic Partial Differential Equation (SPDE) was proposed as a general model that can account for the uncertainties in spatiotemporal soil modelling and prediction. INLA-SPDE has significant advantages in computation efficiency over commonly-used geostatistical methods with Markov Chain Monte Carlo. However, until now, only few pedometrics studies used it for soil spatial modelling. This study demonstrates an application of INLA-SPDE within a hierarchical spatiotemporal model for soil organic matter based on soil survey data collected in Jiangsu, China, during three periods, i.e., 1979-1982, 2000 and 2006-2007. Compared with updating digital soil maps using the Bayesian Maximum Entropy approach, the prediction generated using INLA-SPDE is more accurate. For example, the root mean square error using INLA-SPDE (i.e., 6.57 g kg(-1)) was reduced by 20% compared to the updating approach (i.e., 8.39 g kg(-1)). Moreover, accounting for sources of uncertainties made the prediction using INLA-SPDE more certain. Nevertheless, the uncertainty in the temporal prediction of soil change is still large due to the scarcity of data across the sampling periods. The INLA-SPDE model predicts much detailed spatiotemporal changes along the sampling periods. Therefore, this study recommends the use of INLA-SPDE within a hierarchical model as an effective method for studying spatiotemporal soil change.
C1 [Sun, Xiao-Lin] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China.
   [Sun, Xiao-Lin; Zhao, Yu-Guo; Zhang, Gan-Lin] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China.
   [Minasny, Budiman] Univ Sydney, Sch Life & Environm Sci, Sydney Inst Agr, Eveleigh, NSW, Australia.
   [Wang, Hui-Li] Guangxi Forestry Res Inst, Nanning 530002, Peoples R China.
   [Zhang, Gan-Lin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Zhang, Gan-Lin] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China.
   [Wu, Yun-Jin] Minist Ecol & Environm Peoples Republ China, Nanjing Inst Environm Sci, Nanjing 210042, Peoples R China.
C3 Sun Yat Sen University; Chinese Academy of Sciences; Nanjing Institute
   of Soil Science, CAS; University of Sydney; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS; Chinese Academy of
   Sciences; Nanjing Institute of Geography & Limnology, CAS
RP Zhang, GL; Wu, YJ (corresponding author), 73 Beijing East Rd, Nanjing 210008, Peoples R China.
EM glzhang@issas.ac.cn; wyj@nies.org
RI Huili, Wang/F-4600-2010; Minasny, Budiman/B-4744-2011; Zhang,
   Gan-Lin/V-9261-2017
OI Minasny, Budiman/0000-0002-1182-2371
FU National Natural Science Foundation of China [41771246, 42071062];
   University of Sydney, China Studies Center; ARC Discovery project
   Forecasting soil conditions [DP200102542]; LE STUDIUM Loire Valley
   Institute for Advanced Studies through its LE STUDIUM Research
   Consortium Programme; Australian Research Council [DP200102542] Funding
   Source: Australian Research Council
FX This research is supported by the National Natural Science Foundation of
   China (41771246 and 42071062). The first author is grateful to the
   University of Sydney, China Studies Center, for its grant that enabled
   this work. Budiman Minasny is supported by ARC Discovery project
   Forecasting soil conditions DP200102542. BM is a member of a consortium
   supported by LE STUDIUM Loire Valley Institute for Advanced Studies
   through its LE STUDIUM Research Consortium Programme.
CR Adhikari K, 2016, GEODERMA, V262, P101, DOI 10.1016/j.geoderma.2015.08.009
   Bellamy PH, 2005, NATURE, V437, P245, DOI 10.1038/nature04038
   Bivand R, 2015, J STAT SOFTW, V63, P1
   Blangiardo M, 2015, SPATIAL AND SPATIO-TEMPORAL BAYESIAN MODELS WITH R-INLA, P1, DOI 10.1002/9781118950203
   Cameletti M, 2013, ASTA-ADV STAT ANAL, V97, P109, DOI 10.1007/s10182-012-0196-3
   Darilek JL, 2009, AGR ECOSYST ENVIRON, V129, P286, DOI 10.1016/j.agee.2008.10.002
   Deng L, 2016, GLOB ECOL CONSERV, V5, P127, DOI 10.1016/j.gecco.2015.12.004
   FAO, 2006, WORLD SOIL RESOURCES
   Filippi P, 2018, GEODERMA, V322, P149, DOI 10.1016/j.geoderma.2018.02.033
   Fuglstad GA, 2018, SCI TOTAL ENVIRON, V624, P596, DOI 10.1016/j.scitotenv.2017.12.067
   Gabriel E, 2017, J SFDS, V158, P86
   Goovaerts P, 2001, GEODERMA, V103, P3, DOI 10.1016/S0016-7061(01)00067-2
   Guo JH, 2010, SCIENCE, V327, P1008, DOI 10.1126/science.1182570
   Gutiérrez-Vélez VH, 2014, ECOL APPL, V24, P1323, DOI 10.1890/13-2101.1
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Huang CC, 2015, SCI TOTAL ENVIRON, V536, P173, DOI 10.1016/j.scitotenv.2015.07.014
   Huang JY, 2017, SCI TOTAL ENVIRON, V609, P621, DOI 10.1016/j.scitotenv.2017.07.201
   Jandl R, 2014, SCI TOTAL ENVIRON, V468, P376, DOI 10.1016/j.scitotenv.2013.08.026
   Jingsu Soil Survey Office (JSSO), 1994, JIANGS SOILS
   Jousimo J, 2014, SCIENCE, V344, P1289, DOI 10.1126/science.1253621
   Juang KW, 2004, ENVIRON POLLUT, V127, P229, DOI 10.1016/j.envpol.2003.07.001
   Koch A, 2013, GLOB POLICY, V4, P434, DOI 10.1111/1758-5899.12096
   Lark RM, 2007, EUR J SOIL SCI, V58, P763, DOI 10.1111/j.1365-2389.2006.00866.x
   Liang ZZ, 2019, GEODERMA, V335, P47, DOI 10.1016/j.geoderma.2018.08.011
   Liao QL, 2009, GLOBAL CHANGE BIOL, V15, P861, DOI 10.1111/j.1365-2486.2008.01792.x
   LIN LI, 1989, BIOMETRICS, V45, P255, DOI 10.2307/2532051
   Lindgren F, 2011, J ROY STAT SOC B, V73, P423, DOI 10.1111/j.1467-9868.2011.00777.x
   Ma YX, 2017, GEODERMA REG, V10, P144, DOI 10.1016/j.geodrs.2017.06.002
   Malone BP, 2011, GEODERMA, V160, P614, DOI 10.1016/j.geoderma.2010.11.013
   Malone BP, 2014, GEODERMA, V232, P34, DOI 10.1016/j.geoderma.2014.04.033
   McBratney AB, 2003, GEODERMA, V117, P3, DOI 10.1016/S0016-7061(03)00223-4
   Minasny B, 2005, GEODERMA, V128, P192, DOI 10.1016/j.geoderma.2005.04.003
   Minasny B, 2011, GEODERMA, V163, P150, DOI 10.1016/j.geoderma.2011.03.011
   Minasny B, 2011, GLOBAL CHANGE BIOL, V17, P1917, DOI 10.1111/j.1365-2486.2010.02324.x
   Mulder VL, 2016, SCI TOTAL ENVIRON, V573, P1352, DOI 10.1016/j.scitotenv.2016.07.066
   Noor AM, 2014, LANCET, V383, P1739, DOI 10.1016/S0140-6736(13)62566-0
   Ogle SM, 2010, GLOBAL CHANGE BIOL, V16, P810, DOI 10.1111/j.1365-2486.2009.01951.x
   Padarian J, 2020, SOIL-GERMANY, V6, P35, DOI 10.5194/soil-6-35-2020
   Padarian J, 2019, SOIL-GERMANY, V5, P79, DOI 10.5194/soil-5-79-2019
   Pan GX, 2005, J ENVIRON SCI, V17, P1
   Pinzon JE, 2014, REMOTE SENS-BASEL, V6, P6929, DOI 10.3390/rs6086929
   Poggio L, 2016, GEODERMA, V277, P69, DOI 10.1016/j.geoderma.2016.04.026
   Rossel RAV, 2014, GLOBAL CHANGE BIOL, V20, P2953, DOI 10.1111/gcb.12569
   Rue H., 2013, TECH REP
   Rue H., 2005, GAUSSIAN MARKOV RAND
   Rue H, 2009, J ROY STAT SOC B, V71, P319, DOI 10.1111/j.1467-9868.2008.00700.x
   Saby NPA, 2008, GLOBAL CHANGE BIOL, V14, P2432, DOI 10.1111/j.1365-2486.2008.01658.x
   Song XD, 2019, AGR ECOSYST ENVIRON, V269, P156, DOI 10.1016/j.agee.2018.09.034
   Sun XL, 2015, EUR J SOIL SCI, V66, P1012, DOI 10.1111/ejss.12295
   Sun XL, 2012, SOIL USE MANAGE, V28, P318, DOI 10.1111/j.1475-2743.2012.00421.x
   Sun XL, 2013, GEODERMA, V195, P220, DOI 10.1016/j.geoderma.2012.11.017
   van Donkelaar A, 2016, ENVIRON SCI TECHNOL, V50, P3762, DOI 10.1021/acs.est.5b05833
   Vaysse K, 2017, GEODERMA, V291, P55, DOI 10.1016/j.geoderma.2016.12.017
   Wadoux AMJC, 2019, SOIL-GERMANY, V5, P107, DOI 10.5194/soil-5-107-2019
   WHITTLE P, 1954, BIOMETRIKA, V41, P434
   Wu CF, 2019, SOIL TILL RES, V187, P152, DOI 10.1016/j.still.2018.12.012
   Xiong X, 2015, GEODERMA, V251, P105, DOI 10.1016/j.geoderma.2015.03.028
   Yuan WP, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax1396
   Zhao YC, 2018, P NATL ACAD SCI USA, V115, P4045, DOI 10.1073/pnas.1700292114
NR 59
TC 23
Z9 24
U1 2
U2 102
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0016-7061
EI 1872-6259
J9 GEODERMA
JI Geoderma
PD FEB 15
PY 2021
VL 384
AR 114808
DI 10.1016/j.geoderma.2020.114808
PG 11
WC Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA OY4UQ
UT WOS:000594244300013
DA 2025-01-10
ER

PT J
AU Le, LT
AF Le, Loan T.
TI Alternate wetting and drying technique in paddy production in the Mekong
   Delta, Vietnam: economic evaluation and adoption determinants
SO JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES
LA English
DT Article
DE Alternate wetting and drying; Adoption; Determinants; Input
   effectiveness; Mekong Delta; Vietnam
ID ZHANGHE IRRIGATION SYSTEM; CLIMATE-CHANGE ADAPTATION; WATER MANAGEMENT;
   PERCEIVED USEFULNESS; FARMERS WILLINGNESS; USE EFFICIENCY; RICE FIELDS;
   AGRICULTURE; INTENSIFICATION; TECHNOLOGIES
AB Purpose This study aims to investigate the adoption of alternate wetting and drying (AWD) technique and provides the economic evaluation and determinants of AWD adoption in rice production in the Mekong Delta in Vietnam. Design/methodology/approach The study extends the drainage factor into the AWD score. The cost benefit analysis is utilized for the economic evaluation, and the Cragg model is applied to examine the determinants of AWD adoption. Findings The results indicate that there are significant differences in inputs such as water, seed, fertilizers and mechanization between the low and high levels of AWD adoption. The yields are significantly different at different adoption levels. The Cragg model found that irrigation infrastructure, AWD training and perceived ease of use of the technology are determinants of AWD adoption level. Collective pumping is considered as a major constraint in the AWD adoption. Research limitations/implications The results provide managerial implications, with a focus on the effectiveness of inputs, the irrigation infrastructure and AWD training to promote the AWD adoption. Challenges of rice field flatness should be investigated in a further study. Originality/value The study contributes to existing literature by providing an empirical evidence for the large-scale adoption of AWD with a comprehensive economic evaluation, extending the drainage performance into the score to accurately reflect the water conservation and promoting the use of a more flexible modeling approach with the Cragg model.
C1 [Le, Loan T.] Univ Econ Ho Chi Minh City, Sch Econ, Ho Chi Minh City, Vietnam.
C3 Ho Chi Minh City University Economics
RP Le, LT (corresponding author), Univ Econ Ho Chi Minh City, Sch Econ, Ho Chi Minh City, Vietnam.
EM loanlt@ueh.edu.vn
RI Le, Loan/LRC-7032-2024
FU School of Economics, University of Economics in Ho Chi Minh City,
   Vietnam
FX The author would like to acknowledge the provision of data used in this
   paper from FAO and CGIAR project titled "Documenting Adoption of the AWD
   Water Management Technique in Vietnam" in the Mekong Delta Region,
   Vietnam in 2016-2017. The author also thanks the support from the School
   of Economics, University of Economics in Ho Chi Minh City, Vietnam,
   during the manuscript preparation.
CR Abdollahzadeh G, 2017, CROP PROT, V93, P60, DOI 10.1016/j.cropro.2016.11.014
   Adnan N, 2019, TRENDS FOOD SCI TECH, V86, P439, DOI 10.1016/j.tifs.2019.02.040
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   ARABMAZAR A, 1981, J ECONOMETRICS, V17, P253, DOI 10.1016/0304-4076(81)90029-4
   Bouman B.A.M., 2007, WATER MANAGEMENT IRR
   Bouvet A, 2011, REMOTE SENS ENVIRON, V115, P1090, DOI 10.1016/j.rse.2010.12.014
   Brown PR, 2018, INT J AGR SUSTAIN, V16, P255, DOI 10.1080/14735903.2018.1472858
   Burke WJ, 2009, STATA J, V9, P584, DOI 10.1177/1536867X0900900405
   Caine RS, 2019, NEW PHYTOL, V221, P371, DOI 10.1111/nph.15344
   Carli G., 2017, PRECISION AGR TECHNO, P223, DOI 10.1007/978-3-319-68715-5_11
   Chen CF, 2011, APPL GEOGR, V31, P463, DOI 10.1016/j.apgeog.2010.10.002
   Hoanh CT, 2014, INT J WATER GOV, V2, P61, DOI 10.7564/14-IJWG59
   Cox A, 2014, ASIA PAC BUS REV, V20, P401, DOI 10.1080/13602381.2014.931045
   CRAGG JG, 1971, ECONOMETRICA, V39, P829, DOI 10.2307/1909582
   DAVIS FD, 1989, MIS QUART, V13, P319, DOI 10.2307/249008
   Dung, 2011, INT SOC SE ASIAN AGR, V17, P68
   Farnworth CR, 2017, GEND TECHNOL DEV, V21, P5, DOI 10.1080/09718524.2017.1385314
   Fischer E, 2014, J AGR ECON, V65, P683, DOI 10.1111/1477-9552.12060
   Gao Y, 2017, CROP PROT, V99, P76, DOI 10.1016/j.cropro.2017.05.012
   General Statistics Office, 2017, VIETN STAT DAT 2016
   Ghazalian PL, 2017, J AGR ECON, V68, P427, DOI 10.1111/1477-9552.12186
   Ha TP, 2018, J HYDROL, V557, P116, DOI 10.1016/j.jhydrol.2017.12.024
   Jara-Rojas R, 2012, AGR SYST, V110, P54, DOI 10.1016/j.agsy.2012.03.008
   Mariano MJ, 2012, AGR SYST, V110, P41, DOI 10.1016/j.agsy.2012.03.010
   Kima AS, 2015, PADDY WATER ENVIRON, V13, P379, DOI 10.1007/s10333-014-0458-7
   Kontgis C, 2015, REMOTE SENS ENVIRON, V169, P255, DOI 10.1016/j.rse.2015.08.004
   Kotera A, 2014, PADDY WATER ENVIRON, V12, P343, DOI 10.1007/s10333-013-0386-y
   Lampayan RM, 2015, FIELD CROP RES, V170, P95, DOI 10.1016/j.fcr.2014.10.013
   Ngan LT, 2018, LAND USE POLICY, V73, P269, DOI 10.1016/j.landusepol.2018.01.030
   Leon A, 2017, MITIG ADAPT STRAT GL, V22, P85, DOI 10.1007/s11027-015-9665-9
   Li HM, 2010, AGR WATER MANAGE, V97, P700, DOI 10.1016/j.agwat.2009.12.013
   Li X, 2012, SCI WORLD J, DOI 10.1100/2012/936149
   Trinh LT, 2013, AGR WATER MANAGE, V128, P43, DOI 10.1016/j.agwat.2013.06.003
   Ma S, 2012, J AGR ECON, V63, P604, DOI 10.1111/j.1477-9552.2012.00358.x
   Mathenge MK, 2015, J AGR ECON, V66, P519, DOI 10.1111/1477-9552.12093
   Moya P., 2001, Water-saving irrigation for rice: Proceedings of an International Workshop held in Wuhan, China, 23-25 March 2001, P81
   Moya P, 2004, PADDY WATER ENVIRON, V2, P207, DOI 10.1007/s10333-004-0063-2
   Mushtaq S, 2006, AGR WATER MANAGE, V83, P100, DOI 10.1016/j.agwat.2005.10.004
   Mushtaq S, 2009, WATER POLICY, V11, P661, DOI 10.2166/wp.2009.033
   Dong NM, 2012, SOIL BIOL BIOCHEM, V47, P166, DOI 10.1016/j.soilbio.2011.12.028
   Noltze M, 2012, AGR SYST, V108, P64, DOI 10.1016/j.agsy.2012.01.003
   Norton GJ, 2017, FIELD CROP RES, V205, P1, DOI [10.1016/j.fcr.2017.01.016, 10.1016/jScr.2017.01.016]
   Pan JF, 2017, AGR WATER MANAGE, V184, P191, DOI 10.1016/j.agwat.2017.01.013
   Ha PV, 2015, J AGR ECON, V66, P280, DOI 10.1111/1477-9552.12087
   Phone Thidar Aung Phone Thidar Aung, 2019, Journal of Agricultural Research, V6, P14
   Rebelo LM, 2014, J CONTEMP WAT RES ED, V153, P79, DOI 10.1111/j.1936-704X.2014.03182.x
   Rejesus RM, 2011, FOOD POLICY, V36, P280, DOI 10.1016/j.foodpol.2010.11.026
   Rutten M, 2014, WORLD DEV, V59, P29, DOI 10.1016/j.worlddev.2014.01.020
   Sharifzadeh MS, 2017, SCI TOTAL ENVIRON, V609, P517, DOI 10.1016/j.scitotenv.2017.07.125
   Sheahan M, 2016, J AGR ECON, V67, P420, DOI 10.1111/1477-9552.12150
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Sriphirom P, 2019, J CLEAN PROD, V223, P980, DOI 10.1016/j.jclepro.2019.03.212
   Takayoshi Yamaguchi., 2016, Asian and African Studies, V15, P234
   TAYLOR S, 1995, INFORM SYST RES, V6, P144, DOI 10.1287/isre.6.2.144
   Ngo TT, 2018, WATER RESOUR MANAG, V32, P3579, DOI 10.1007/s11269-018-2007-4
   TOBIN J, 1958, ECONOMETRICA, V26, P24, DOI 10.2307/1907382
   Tran D. D., 2018, Irrigation and Drainage, V67, P81, DOI 10.1002/ird.2172
   Tu VH, 2018, PROC INTEGR OPTIM, V2, P221, DOI 10.1007/s41660-018-0038-1
   VUONG QH, 1989, ECONOMETRICA, V57, P307, DOI 10.2307/1912557
   Yamaguchi T., 2017, Tropical Agriculture and Development, V61, P117
   Yamano T., 2015, Journal of Social and Economic Development, V17, P260, DOI 10.1007/s40847-015-0008-1
   Yang JC, 2014, 2014 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), VOLS 1-2, P1, DOI 10.1109/ICALIP.2014.7009745
NR 62
TC 5
Z9 5
U1 3
U2 17
PU EMERALD GROUP PUBLISHING LTD
PI BINGLEY
PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND
SN 2044-0839
EI 2044-0847
J9 J AGRIBUS DEV EMERG
JI J. Agribus. Dev. Emerg. Econ.
PD FEB 11
PY 2021
VL 11
IS 1
SI SI
BP 42
EP 59
DI 10.1108/JADEE-09-2019-0153
EA JUN 2020
PG 18
WC Agricultural Economics & Policy; Economics
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Business & Economics
GA QK1HV
UT WOS:000544319600001
DA 2025-01-10
ER

PT J
AU Hwangbo, S
   Sin, G
   Rhee, G
   Yoo, C
AF Hwangbo, Soonho
   Sin, Gurkan
   Rhee, Gahee
   Yoo, ChangKyoo
TI Development of an integrated network for waste-to-energy and central
   utility systems considering air pollutant emissions pinch analysis
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Waste-to-energy; Central utility systems; Air pollutant emissions pinch
   analysis; Optimization; Petrochemical industry; Climate change
   adaptation
ID ECO-INDUSTRIAL PARKS; CARBONATE FUEL-CELL; BENCHMARK SIMULATION-MODEL;
   HYDROGEN SUPPLY NETWORK; MATHEMATICAL-MODEL; HEAT INTEGRATION; CO2
   CAPTURE; OPTIMIZATION; DESIGN; PERFORMANCE
AB This study aims to integrate central utility systems in a large petrochemical industry with adjoining waste-to-energy networks to form an eco-friendly energy management system. The waste-to-energy networks studied in this contribution include the following main systems: (1) wastewater treatment plants for biogas production, (2) a biogas upgrading process for biomethane generation, and (3) a molten carbonate fuel cell together with a Rankine cycle to harness green electricity. Waste streams in the proposed model consist of wastewater from wastewater treatment plants and waste steam from central utility systems itself. The derived green electricity is utilized to satisfy the energy demands in central utility systems. A waste-to-energy network is simulated by simulation tools, and a mixed integer linear programming problem is formulated to optimize central utility systems based on the simulation results. A case study of the Yeosu petrochemical industrial complex in South Korea evaluates the developed model. The total economic costs of the optimized central utility systems based on the integrated model are reduced by approximately 15% compared to the existing central utility systems. The results from air pollutant emissions pinch analysis indicate that the total quantities of carbon dioxides and sulfur oxides emitted from the integrated model are decreased by about 35%. The feasibility of combining the two networks is demonstrated from environmental and economic points of view. (C) 2019 Elsevier Ltd. All rights reserved.
C1 [Hwangbo, Soonho; Sin, Gurkan] Tech Univ Denmark, Proc & Syst Engn Ctr PROSYS, Dept Chem & Biochem Engn, Bldg 229, DK-2800 Lyngby, Denmark.
   [Rhee, Gahee; Yoo, ChangKyoo] Kyung Hee Univ, Ctr Environm Studies, Dept Environm Sci & Engn, Yongin 446701, South Korea.
C3 Technical University of Denmark; Kyung Hee University
RP Yoo, C (corresponding author), Kyung Hee Univ, Ctr Environm Studies, Dept Environm Sci & Engn, Yongin 446701, South Korea.
EM ckyoo@khu.ac.kr
RI Hwangbo, Soonho/AAA-2827-2021; Sin, Gurkan/C-6989-2008; 유,
   창규/AAJ-1226-2020
OI Sin, Gurkan/0000-0003-0513-4502; Yoo, ChangKyoo/0000-0002-9406-7649;
   Hwangbo, Soonho/0000-0003-2208-9301
FU National Research Foundation of Korea (NRF) - Korean government (MSIP)
   [2017R1E1A1A03070713]; Korea Ministry of Environment (MOE); Danish
   Council for Independent Research (DFF) [DFF-6111600077B]
FX This work was supported by a National Research Foundation of Korea (NRF)
   grant funded by the Korean government (MSIP) (No. 2017R1E1A1A03070713)
   and Korea Ministry of Environment (MOE) as Graduate Scholl specialized
   in Climate Change. Furthermore, we would like to thank the Danish
   Council for Independent Research (DFF) for financing the project under
   the grand ID: DFF-6111600077B.
CR Ahammad SZ, 2014, CHEM ENG J, V244, P195, DOI 10.1016/j.cej.2014.01.058
   Ahn J, 2018, INT J HYDROGEN ENERG, V43, P7525, DOI 10.1016/j.ijhydene.2018.03.015
   [Anonymous], FUEL CELL IND REV
   [Anonymous], 2004, GAMS USERS GUIDE
   [Anonymous], 7 INT C GAS HYDR ICG
   Atkins MJ, 2010, APPL ENERG, V87, P982, DOI 10.1016/j.apenergy.2009.09.002
   Avami A, 2013, RENEW SUST ENERG REV, V26, P761, DOI 10.1016/j.rser.2013.06.028
   Balat M, 2009, INT J HYDROGEN ENERG, V34, P3589, DOI 10.1016/j.ijhydene.2009.02.067
   Batstone DJ, 2002, WATER SCI TECHNOL, V45, P65
   Bellantuono N, 2017, J CLEAN PROD, V161, P362, DOI 10.1016/j.jclepro.2017.05.082
   Boix M, 2015, J CLEAN PROD, V87, P303, DOI 10.1016/j.jclepro.2014.09.032
   Brunner PH, 2015, WASTE MANAGE, V37, P3, DOI 10.1016/j.wasman.2014.02.003
   Bulatov I, 2013, WOODHEAD PUBL SER EN, P1059, DOI 10.1533/9780857097255.6.1059
   Butturi MA, 2019, APPL ENERG, V255, DOI 10.1016/j.apenergy.2019.113825
   Carnbero C, 2014, RENEW SUST ENERG REV, V36, P62, DOI 10.1016/j.rser.2014.04.041
   Chae SH, 2010, APPL ENERG, V87, P1978, DOI 10.1016/j.apenergy.2009.12.003
   Cucek L, 2019, J CLEAN PROD, V211, P884, DOI 10.1016/j.jclepro.2018.11.129
   DHOLE VR, 1993, COMPUT CHEM ENG, V17, pS101, DOI 10.1016/0098-1354(93)85015-E
   Dodds PE, 2015, INT J HYDROGEN ENERG, V40, P2065, DOI 10.1016/j.ijhydene.2014.11.059
   Eilering J.A.M., 2004, Ind. Ecol, V1, P245, DOI DOI 10.1504/PIE.2004.004681
   Freguia S, 2003, AICHE J, V49, P1676, DOI 10.1002/aic.690490708
   Garcia M, 2017, J ENVIRON CHEM ENG, V5, P4693, DOI 10.1016/j.jece.2017.08.024
   Hassiba RJ, 2017, J CLEAN PROD, V155, P47, DOI 10.1016/j.jclepro.2016.09.094
   Hwangbo S, 2019, ENERG CONVERS MANAGE, V185, P353, DOI 10.1016/j.enconman.2019.02.017
   Hwangbo S, 2017, APPL ENERG, V208, P195, DOI 10.1016/j.apenergy.2017.10.051
   Hwangbo S, 2017, APPL ENERG, V195, P257, DOI 10.1016/j.apenergy.2017.03.041
   Hwangbo S, 2016, ENERGY, V114, P418, DOI 10.1016/j.energy.2016.08.003
   Jeppsson U, 2006, WATER SCI TECHNOL, V53, P287, DOI 10.2166/wst.2006.031
   Jia XP, 2016, J CLEAN PROD, V112, P2756, DOI 10.1016/j.jclepro.2015.10.102
   Khan IU, 2017, ENERG CONVERS MANAGE, V150, P277, DOI 10.1016/j.enconman.2017.08.035
   Kim HW, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124545
   Kim SH, 2010, J ENVIRON MANAGE, V91, P690, DOI 10.1016/j.jenvman.2009.09.033
   Lee CG, 2004, J POWER SOURCES, V125, P166, DOI 10.1016/j.jpowsour.2003.07.014
   Leong YT, 2017, J CLEAN PROD, V143, P1268, DOI 10.1016/j.jclepro.2016.11.147
   Luis P, 2016, DESALINATION, V380, P93, DOI 10.1016/j.desal.2015.08.004
   Maennel A, 2018, ENERGIES, V11, DOI 10.3390/en11010206
   Morita H, 2002, J POWER SOURCES, V112, P509, DOI 10.1016/S0378-7753(02)00468-8
   de Escalona JMM, 2011, INT J HYDROGEN ENERG, V36, P15739, DOI 10.1016/j.ijhydene.2011.08.094
   Nagurney A, 2002, TRANSPORT RES E-LOG, V38, P281, DOI 10.1016/S1366-5545(01)00020-5
   Nopens I, 2010, WATER SCI TECHNOL, V62, P1967, DOI 10.2166/wst.2010.044
   Pan SY, 2015, J CLEAN PROD, V108, P409, DOI 10.1016/j.jclepro.2015.06.124
   Park HS, 2007, J IND ECOL, V11, P11, DOI 10.1162/jiec.2007.1346
   Petek J, 2016, J CLEAN PROD, V112, P2813, DOI 10.1016/j.jclepro.2015.10.046
   Ren XY, 2018, J CLEAN PROD, V170, P625, DOI 10.1016/j.jclepro.2017.09.170
   Ryan NA, 2018, J IND ECOL, V22, P1318, DOI 10.1111/jiec.12708
   Sohn Jihyun, 2016, [Journal of Climate Change Research, 한국기후변화학회지], V7, P373, DOI 10.15531/KSCCR.2016.7.4.373
   Sun L, 2017, APPL ENERG, V186, P450, DOI 10.1016/j.apenergy.2016.05.036
   Tan RR, 2007, ENERGY, V32, P1422, DOI 10.1016/j.energy.2006.09.018
   Tan RR, 2018, J CLEAN PROD, V182, P863, DOI 10.1016/j.jclepro.2018.02.082
   Tan ST, 2015, ENERG CONVERS MANAGE, V102, P111, DOI 10.1016/j.enconman.2015.02.010
   Tarighaleslami AH, 2017, ENERGY, V119, P10, DOI 10.1016/j.energy.2016.12.071
   Tobin P, 2018, GLOBAL ENVIRON CHANG, V48, P11, DOI 10.1016/j.gloenvcha.2017.11.002
   Nguyen VN, 2016, CHEM ENG J, V292, P113, DOI 10.1016/j.cej.2016.01.087
   Walmsley TG, 2018, ENERGY, V146, P67, DOI 10.1016/j.energy.2017.04.142
   Wee JH, 2011, APPL ENERG, V88, P4252, DOI 10.1016/j.apenergy.2011.05.043
NR 55
TC 12
Z9 12
U1 1
U2 25
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD APR 10
PY 2020
VL 252
AR 119746
DI 10.1016/j.jclepro.2019.119746
PG 17
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA KQ2SA
UT WOS:000516777200039
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Rozbicka, P
   Szent-Iványi, B
AF Rozbicka, Patrycja
   Szent-Ivanyi, Balazs
TI European development NGOs and the diversion of aid: Contestation,
   fence-sitting, or adaptation?
SO DEVELOPMENT POLICY REVIEW
LA English
DT Article
DE Advocacy; climate change; foreign aid; interest groups; migration; New
   European Consensus; non-government development organizations (NGDOs);
   private sector
ID STRATEGIES; DYNAMICS; SALIENCE; POLICIES; ISSUE
AB MotivationThe article examines the advocacy strategies of European non-government development organizations (NGDOs). The development aid literature has not put much emphasis on understanding NGDOs' aid-related advocacy strategies, and the literature on interest groups has so far neglected to explain why groups select different advocacy strategies within the same policy area.
   PurposeThe article explains how NGDOs have selected advocacy strategies during the process of reformulating the European Consensus in 2016/17, in response to attempts by the European Union (EU) to divert aid from poverty reduction to three other goals: managing migration, funding climate change adaptation (CCA), and funding the private sector.
   Approach and methodsThe article develops a framework explaining NGDOs' strategy selection, looking at the politicization of the policy change, its impact on NGDOs' funding, and its relation to the groups' normative positions. The article uses qualitative data from NGDO documents and interviews with senior staff of NGDO networks based in Brussels.
   FindingsNGDOs used different strategies for the three cases of aid diversion: they contested aid diversion for managing migration; mainly choose fence-sitting in case of CCA; and gradually became more adaptive towards diverting aid to fund the private sector. The three variables of politicization, impact on funding, and relation to normative positions explain the strategies selected by NGDOs in all three cases.
   Policy implicationsThe findings can help NGDOs in selecting the most appropriate advocacy strategies for changes in aid policy, allowing them to become more effective in influencing the EU institutions and member state governments.
C1 [Rozbicka, Patrycja; Szent-Ivanyi, Balazs] Aston Univ, Aston Ctr Europe, Birmingham, W Midlands, England.
   [Szent-Ivanyi, Balazs] Corvinus Univ Budapest, Inst World Econ, Budapest, Hungary.
C3 Aston University; Corvinus University Budapest; Hungarian Research
   Network; Hungarian Academy of Sciences; HUN-REN Centre for Economic &
   Regional Studies
RP Szent-Iványi, B (corresponding author), Aston Univ, Aston Ctr Europe, Birmingham, W Midlands, England.; Szent-Iványi, B (corresponding author), Corvinus Univ Budapest, Inst World Econ, Budapest, Hungary.
EM b.szent-ivanyi@aston.ac.uk
RI Rozbicka, Patrycja/ABA-7200-2021
OI Szent-Ivanyi, Balazs/0000-0002-5883-4601; Rozbicka,
   Patrycja/0000-0003-0092-955X
CR [Anonymous], 2010, CLIMATE FINANCE ADDI
   [Anonymous], 2011, INCR IMP EU DEV POL
   [Anonymous], INT RELATIONS EUROPE
   [Anonymous], 2016, INSIDERS VERSUS OUTS, DOI DOI 10.1093/ACPROF:OSO/9780198785651.001.0001
   Berthélemy JC, 2009, WORLD DEV, V37, P1589, DOI 10.1016/j.worlddev.2009.02.002
   Beyers J, 2008, WEST EUR POLIT, V31, P1188, DOI 10.1080/01402380802372654
   Beyers J, 2007, J EUR PUBLIC POLICY, V14, P460, DOI 10.1080/13501760701243822
   Beyers J, 2012, GOVERNANCE, V25, P263, DOI 10.1111/j.1468-0491.2011.01551.x
   Binderkrantz A, 2005, POLIT STUD-LONDON, V53, P694, DOI 10.1111/j.1467-9248.2005.00552.x
   Bloodgood EA, 2011, REV INT STUD, V37, P93, DOI 10.1017/S0260210510001051
   Busby JW, 2007, INT STUD QUART, V51, P247, DOI 10.1111/j.1468-2478.2007.00451.x
   Cangas H. A., 2016, GREAT INSIGHTS, V5
   CARE International, 2016, RESP PUBL CONS REV E
   Castillejo C., 2017, Discussion Paper
   Collett E., 2016, The Paradox of the EU-Turkey Refugee Deal
   CONCORD, 2015, AIDWATCH LOOK FUT DO
   CONCORD, 2016, NEW PARTN EU ACP COU
   CONCORD, 2013, AIDWATCH UN ROL EUR
   CONCORD, 2016, TRANSF EU DEV POL CO
   CONCORD, 2010, AIDWATCH 2010 PEN MO
   CONCORD, 2016, AIDWATCH REP 2016
   CONCORD, 2017, 10 POINT ROADM EUR R
   CONCORD, 2012, AIDW 2012 AID WE CAN
   CONCORD, 2014, AIDWATCH 2014 2015
   CONCORD, 2016, JOINT ACP EU CIV SOC
   CONCORD, 2016, SUST DEV STAK COULD
   CONCORD, 2011, AIDWATCH CHALL SELF
   Dur A., 2007, INT PUBLIC POLICY, P1, DOI DOI 10.1017/S0143814X07000591
   Edwards Bob, 2004, BLACKWELL COMPANION, P116, DOI [10.1002/9780470999103, DOI 10.1002/9780470999103.CH6]
   Eising R, 2015, J EUR PUBLIC POLICY, V22, P516, DOI 10.1080/13501763.2015.1008552
   Elgström O, 2000, J EUR PUBLIC POLICY, V7, P457, DOI 10.1080/13501760050086125
   Eurobarometer, 2017, SPEC EUR 459 SUMM CL
   European Commission, 2016, COM2016740 EUR COMM
   European Commission, 2017, EU EM TRUST FUND AFR
   European Commission, 2016, EU EXT INV PLAN
   European Commission, 2016, UN 2030 AG SUST DEV
   European Commission, 2014, COM2014263 EUR COMM
   European Union, 2006, Official Journal of the European Union. C, V46
   Finnemore M, 1998, INT ORGAN, V52, P887, DOI 10.1162/002081898550789
   Furness M., 2016, SECURITUZATION FOREI, P138
   Ghosal R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0084787
   Greenwood J., 2017, Interest representation in the European Union, V4th
   Gueguen D., 2007, EUROPEAN LOBBYING
   Hafner-Fink M, 2016, TEOR PRAKSA, V53, P605
   Heaney M.T., 2004, STATE POLITICS POLIC, V4, P237
   Heinrich T, 2016, WORLD DEV, V77, P66, DOI 10.1016/j.worlddev.2015.08.005
   Helbling M, 2011, ELECT STUD, V30, P174, DOI 10.1016/j.electstud.2010.12.001
   Hoeffler A, 2011, REV DEV ECON, V15, P237, DOI 10.1111/j.1467-9361.2011.00605.x
   Keukeleire S, 2013, CAMB REV INT AFF, V26, P556, DOI 10.1080/09557571.2013.822851
   Klüver H, 2011, EUR UNION POLIT, V12, P483, DOI 10.1177/1465116511413163
   Kriesi H, 2007, COMP POLIT STUD, V40, P48, DOI 10.1177/0010414005285753
   Mahoney Christine., 2007, J PUBLIC POLICY, V27, P35, DOI DOI 10.1017/S0143814X07000608
   Maloney W., 1994, Journal of Public Policy, V14, P17, DOI [DOI 10.1017/S0143814X00001239, 10.1017/S0143814X00001239]
   Moravcsik A, 2002, J COMMON MARK STUD, V40, P603, DOI 10.1111/1468-5965.00390
   Mosley JE, 2012, J PUBL ADM RES THEOR, V22, P841, DOI 10.1093/jopart/mus003
   Murdie A, 2015, POLIT STUD-LONDON, V63, P353, DOI 10.1111/1467-9248.12101
   Netjes CE, 2007, ELECT STUD, V26, P39, DOI 10.1016/j.electstud.2006.04.007
   Nunnenkamp P, 2012, KYKLOS, V65, P81, DOI 10.1111/j.1467-6435.201.00528.x
   Oxfam International, 2016, OXF POS REV EUR CONS
   Oxfam International, 2016, GOOD EU DEV PLANS MU
   Park Susan., 2005, GLOBAL ENVIRON POLIT, V5, P95, DOI [10.1162/152638005774785480, DOI 10.1162/152638005774785480]
   Polletta F, 2001, ANNU REV SOCIOL, V27, P283, DOI 10.1146/annurev.soc.27.1.283
   Porta DonatellaDella., 2006, SOCIAL MOVEMENTS INT, VSecond
   Rochon T. R., 1988, Between Society and State: Mobilizing for Peace in Western Europe
   Sanchez Salgado R., 2017, EUROPEAN POLITICS SO, V18, P511
   Schmid H, 2008, NONPROF VOLUNT SEC Q, V37, P581, DOI 10.1177/0899764007312666
   Solidar, 2016, REV EUR CONS DEV WHA
   Solidar, 2016, SOLIDAR WANTS DEV PO
   Stadelmann M, 2011, CLIM DEV, V3, P175, DOI 10.1080/17565529.2011.599550
   Tarrow SidneyG., 2011, Power in Movement
   Taylor Verta., 2004, The Blackwell Companion to Social Movements, P263
NR 71
TC 12
Z9 12
U1 1
U2 14
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0950-6764
EI 1467-7679
J9 DEV POLICY REV
JI Dev. Policy Rev.
PD MAR
PY 2020
VL 38
IS 2
DI 10.1111/dpr.12417
PG 19
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA KI6HO
UT WOS:000511450800001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Feria, RM
   Nichols, V
   Basso, B
   Archontoulis, S
AF Feria, Rafael Martinez
   Nichols, Virginia
   Basso, Bruno
   Archontoulis, Sotirios
TI Can multi-strategy management stabilize nitrate leaching under
   increasing rainfall?
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE nitrate leaching; APSIM; agricultural management; climate change
   adaption; crop production
ID NITROGEN-USE EFFICIENCY; CROPPING SYSTEMS; YIELD; FERTILIZER; DRAINAGE;
   LOSSES; CORN; MAIZE; METAANALYSIS; AGRICULTURE
AB The increased spring rainfall intensity and amounts observed recently in the US Midwest poses additional risk of nitrate (NO3) leaching from cropland, and contamination of surface and subsurface freshwater bodies. Several individual strategies can reduce NO3 loading to freshwater ecosystems (i.e. optimize N fertilizer applications, planting cover crops, retention of active cycling N), but the potential for synergistic interactions among N management practices has not been fully examined. We applied portfolio effect (PE) theory, a concept originally developed for financial asset management, to test whether implementing multiple N management practices simultaneously produces more stable NO3 leaching mitigation outcomes than what would be predicted from implementing each practice independently. We analyzed simulated data generated using a validated process-based cropping system model (APSIM) that covers a range of soils, weather conditions, and management practices. Results indicated that individual management practices alone explained little of the variation in drainage NO3 loads but were more influential in the amount of residual soil NO3 at crop harvest. Despite this, we observed a general stabilizing effect from adopting well-designed multi-strategy approaches for both NO3 loads and soil NO3 at harvest, which became more pronounced in years with high spring rainfall. We use the PE principle to design multi-strategy management to reduce and stabilize NO3 leaching, which resulted in 9.6% greater yields, 15% less NO3 load, and 61% less soil NO3 at harvest than the baseline typical management. Our results make the case for applying the PE to adapt NO3 leaching mitigation to increased climate variability and change, and guide policy action and on-the-ground implementation.
C1 [Feria, Rafael Martinez; Basso, Bruno] Michigan State Univ, Dept Earth & Environm Sci, E Lansing, MI 48824 USA.
   [Nichols, Virginia; Archontoulis, Sotirios] Iowa State Univ, Dept Agron, Ames, IA USA.
C3 Michigan State University; Iowa State University
RP Feria, RM (corresponding author), Michigan State Univ, Dept Earth & Environm Sci, E Lansing, MI 48824 USA.
EM mart2225@msu.edu
RI Basso, Bruno/AAF-1271-2019; Basso, Bruno/A-3128-2012
OI Basso, Bruno/0000-0003-2090-4616; Martinez-Feria,
   Rafael/0000-0002-4230-5684
FU Iowa Nutrient Research Center; United States Department of Agriculture
   [IOW03814, IOW04414]; Foundation for Food and Agriculture Research;
   National Science Foundation (NSF) [1842097]; Division Of Integrative
   Organismal Systems; Direct For Biological Sciences [1842097] Funding
   Source: National Science Foundation
FX This work is based on research supported by the Iowa Nutrient Research
   Center (project: 'Quantifying temporal and spatial variability in
   NO<INF>3</INF>-N leaching across Iowa'), the United States Department of
   Agriculture (Hatch projects: IOW03814, IOW04414), the Foundation for
   Food and Agriculture Research (project: Optimizing Agricultural Water
   Use), and the National Science Foundation (NSF Award No. 1842097). We
   thank Lori Abendroth (Sustainable Corn CAP database support) and the
   APSIM initiative (simulation model support). We also thank Ranae Dietzel
   and Mike Castellano for comments on earlier versions of this manuscript.
CR Alter RE, 2018, GEOPHYS RES LETT, V45, P1586, DOI 10.1002/2017GL075604
   Anderson JA, 2019, FRONT BIOENG BIOTECH, V7, DOI 10.3389/fbioe.2019.00024
   Anderson SC, 2013, METHODS ECOL EVOL, V4, P971, DOI 10.1111/2041-210X.12093
   [Anonymous], 2014, Highlights of Climate Change Impacts in the United States: The Third National Climate Assessment
   [Anonymous], 2019, COV CROP COST SHAR P
   Banger K, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01270
   Basso B, 2005, AGR ECOSYST ENVIRON, V108, P329, DOI 10.1016/j.agee.2005.01.011
   Bowles TM, 2018, NAT SUSTAIN, V1, P399, DOI 10.1038/s41893-018-0106-0
   Cassman KG, 2002, AMBIO, V31, P132, DOI 10.1639/0044-7447(2002)031[0132:ANUEAN]2.0.CO;2
   Castellano MJ, 2019, NAT SUSTAIN, V2, P914, DOI 10.1038/s41893-019-0393-0
   Castellano MJ, 2012, HYDROPEDOLOGY: SYNERGISTIC INTEGRATION OF SOIL SCIENCE AND HYDROLOGY, P711, DOI 10.1016/B978-0-12-386941-8.00022-8
   Christianson LE, 2015, J ENVIRON QUAL, V44, P1852, DOI 10.2134/jeq2015.03.0170
   Christianson LE, 2015, AGR WATER MANAGE, V159, P277, DOI 10.1016/j.agwat.2015.06.021
   Christianson R, 2018, J ENVIRON MANAGE, V206, P1072, DOI 10.1016/j.jenvman.2017.11.051
   Dai SW, 2016, INT J CLIMATOL, V36, P517, DOI 10.1002/joc.4354
   Dietzel R, 2016, GLOBAL CHANGE BIOL, V22, P666, DOI 10.1111/gcb.13101
   Doak DF, 1998, AM NAT, V151, P264, DOI 10.1086/286117
   Eagle AJ, 2017, SOIL SCI SOC AM J, V81, P1191, DOI 10.2136/sssaj2016.09.0281
   Ebrahimi-Mollabashi E, 2019, FIELD CROP RES, V236, P58, DOI 10.1016/j.fcr.2019.03.014
   Feng Z, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13429
   Gardner JB, 2009, ECOL APPL, V19, P2167, DOI 10.1890/08-1122.1
   Gillette K, 2018, SCI TOTAL ENVIRON, V618, P982, DOI 10.1016/j.scitotenv.2017.09.054
   Holzworth DP, 2014, ENVIRON MODELL SOFTW, V62, P327, DOI 10.1016/j.envsoft.2014.07.009
   Iooss B., 2015, Uncertainty Management in Simulation-Optimization of Complex Systems: Algorithms and Applications, P101
   Iqbal J, 2018, GLOBAL CHANGE BIOL, V24, pE303, DOI 10.1111/gcb.13866
   Li TY, 2018, GLOBAL CHANGE BIOL, V24, pE511, DOI 10.1111/gcb.13918
   Li Y, 2019, GLOBAL CHANGE BIOL, V25, P2325, DOI 10.1111/gcb.14628
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Markowitz H, 1959, PORTFOLIO SELECTION, P351
   Martinez-Feria RA, 2018, AGR ECOSYST ENVIRON, V256, P131, DOI 10.1016/j.agee.2018.01.002
   Martinez-Feria RA, 2016, FIELD CROP RES, V196, P145, DOI 10.1016/j.fcr.2016.06.016
   McLellan EL, 2018, BIOSCIENCE, V68, P194, DOI 10.1093/biosci/bix164
   Mueller ND, 2016, NAT CLIM CHANGE, V6, P317, DOI [10.1038/nclimate2825, 10.1038/NCLIMATE2825]
   Natural Resources Conservation Service (NRCS), 2019, ENV QUAL INC PROGR
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Puntel LA, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01630
   Randall G.W., 2008, Gulf hypoxia and local water quality concerns workshop. Upper Mississippi sub-basin hypoxia nutrient committee, Ames, IA. 26-28 Sep. 2005. ASABE, St. Joseph, P73, DOI 10.13031/2013.24245
   Randall GW, 1997, J ENVIRON QUAL, V26, P1240, DOI 10.2134/jeq1997.00472425002600050007x
   Randall GW, 2001, J ENVIRON QUAL, V30, P337, DOI 10.2134/jeq2001.302337x
   Renard D, 2019, NATURE, V571, P257, DOI 10.1038/s41586-019-1316-y
   Rosvall M, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008694
   Santner T.J., 2003, The Design and Analysis of Computer Experiments, Springer Series inStatistics, P189
   Sawyer J, 2006, CONCEPTS RATIONALE R, P1
   Schindler DE, 2015, FRONT ECOL ENVIRON, V13, P257, DOI 10.1890/140275
   Sebilo M, 2013, P NATL ACAD SCI USA, V110, P18185, DOI 10.1073/pnas.1305372110
   Shahhosseini M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab5268
   Syswerda SP, 2012, AGR ECOSYST ENVIRON, V149, P10, DOI 10.1016/j.agee.2011.12.007
   Teixeira EI, 2015, ENVIRON MODELL SOFTW, V72, P304, DOI 10.1016/j.envsoft.2015.05.012
   Tilman D, 1997, ECOLOGY, V78, P81, DOI 10.1890/0012-9658(1997)078[0081:CIRLAG]2.0.CO;2
   Tonitto C, 2006, AGR ECOSYST ENVIRON, V112, P58, DOI 10.1016/j.agee.2005.07.003
   Wilson RS, 2014, WATER RESOUR RES, V50, P6735, DOI 10.1002/2013WR015200
   Zhao X, 2016, FIELD CROP RES, V199, P156, DOI 10.1016/j.fcr.2016.07.015
NR 52
TC 16
Z9 24
U1 0
U2 25
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 DEC
PY 2019
VL 14
IS 12
AR 124079
DI 10.1088/1748-9326/ab5ca8
PG 11
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA KN4UE
UT WOS:000514833200053
OA gold
DA 2025-01-10
ER

PT J
AU Power, SB
   Delage, FPD
AF Power, Scott B.
   Delage, Francois P. D.
TI El Niiio Southern Oscillation and Associated Climatic Conditions around
   the World during the Latter Half of the Twenty-First Centuryg
SO JOURNAL OF CLIMATE
LA English
DT Article
ID TROPICAL PACIFIC RAINFALL; PRECIPITATION RESPONSE; LA-NINA; ENSO;
   IMPACT; CMIP5; TEMPERATURE; VARIABILITY; CIRCULATION; MODULATION
AB Increases in greenhouse gas emissions are expected to cause changes both in climatic variability in the Pacific linked to El Ntho Southern Oscillation (ENSO) and in long-term average climate. While mean state and variability changes have been studied separately, much less is known about their combined impact or relative importance. Additionally, studies of projected changes in ENSO have tended to focus on changes in, or adjacent to, the Pacific. Here we examine projected changes in climatic conditions during El Nino years and in ENSO-driven precipitation variability in 36 CMIP5 models. The models are forced according to the RCP8.5 scenario in which there are large, unmitigated increases in greenhouse gas concentrations during the twenty-first century. We examine changes over much of the globe, including 25 widely spread regions defined in the IPCC special report Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX). We confirm that precipitation variability associated with ENSO is projected to increase in the tropical Pacific, consistent with earlier research. We also find that the enhanced tropical Pacific variability drives ENSO-related variability increases in 19 SREX regions during DJF and in 18 during JJA. This externally forced increase in ENSO-driven precipitation variability around the world is on the order of 15%-20%. An increase of this size, although substantial, is easily masked at the regional level by internally generated multidecadal variability in individual runs. The projected changes in El Ntho driven precipitation variability are typically much smaller than projected changes in both mean state and ENSO neutral conditions in nearly all regions.
C1 [Power, Scott B.; Delage, Francois P. D.] Bur Meteorol, Melbourne, Vic, Australia.
C3 Bureau of Meteorology - Australia
RP Power, SB (corresponding author), Bur Meteorol, Melbourne, Vic, Australia.
EM scott.power@bom.gov.au
RI Power, Scott/AAF-3370-2019
FU Earth System and Climate Change Hub of the Australian Government's
   National Environmental Science Program
FX This work is supported by the Earth System and Climate Change Hub of the
   Australian Government's National Environmental Science Program. We
   acknowledge the World Climate Research Programme's Working Group on
   Coupled Modelling, which is responsible for CMIP, and we thank the
   climate modeling groups for producing and making available their model
   output. For CMIP the U.S. Department of Energy's Program for Climate
   Model Diagnosis and Intercomparison provides coordinating support and
   led development of software infrastructure in partnership with the
   Global Organization for Earth System Science Portals. We wish to thank
   Geert Jan van Oldenborgh (KNMI) for the code used to define the regions,
   as well as anonymous reviewers and Hanh Nguyen for providing comments
   that helped to improve the manuscript.
CR [Anonymous], REG OV
   [Anonymous], CONTRIBUTION WORKING, DOI [DOI 10.1017/CBO9781107415324, 10.1017/CBO9781107415324]
   Australian Bureau of Meteorology & Commonwealth Scientific and Industrial Research Organisation, 2011, COUNTR REP
   Bayr T, 2014, CLIM DYNAM, V43, P2747, DOI 10.1007/s00382-014-2091-y
   Bellenger H, 2014, CLIM DYNAM, V42, P1999, DOI 10.1007/s00382-013-1783-z
   Bonfils CJW, 2015, J CLIMATE, V28, P9997, DOI 10.1175/JCLI-D-15-0341.1
   Brönnimann S, 2007, CLIM DYNAM, V28, P181, DOI 10.1007/s00382-006-0175-z
   Cai WJ, 2015, NAT CLIM CHANGE, V5, P849, DOI [10.1038/NCLIMATE2743, 10.1038/nclimate2743]
   Chung CTY, 2017, J SO HEMISPH EARTH, V67, P25, DOI 10.22499/3.6701.003
   Chung CTY, 2016, CLIM DYNAM, V47, P1303, DOI 10.1007/s00382-015-2902-9
   Chung CTY, 2015, J CLIMATE, V28, P3133, DOI 10.1175/JCLI-D-14-00610.1
   Chung CTY, 2014, CLIM DYNAM, V43, P3293, DOI 10.1007/s00382-014-2105-9
   Chung CTY, 2014, CLIM DYNAM, V42, P1837, DOI 10.1007/s00382-013-1892-8
   Collins M, 2010, NAT GEOSCI, V3, P391, DOI 10.1038/NGEO868
   Diaz H.F., 2000, El Nino and the southern oscillation: multiscale variability and global and regional impacts
   England MH, 2014, NAT CLIM CHANGE, V4, P222, DOI [10.1038/nclimate2106, 10.1038/NCLIMATE2106]
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Huang P, 2016, J CLIMATE, V29, P5763, DOI 10.1175/JCLI-D-16-0058.1
   Huang P, 2015, NAT GEOSCI, V8, P922, DOI [10.1038/ngeo2571, 10.1038/NGEO2571]
   Kociuba G, 2015, J CLIMATE, V28, P20, DOI 10.1175/JCLI-D-13-00752.1
   Kripalani R.H., 1997, WEATHER, V52, P39, DOI [10.1002/j.1477-8696.1997.tb06267.x, DOI 10.1002/J.1477-8696.1997.TB06267.X]
   Kug JS, 2010, THEOR APPL CLIMATOL, V100, P275, DOI 10.1007/s00704-009-0183-0
   Lorenz E. N., 1956, 1 MIT, V1
   Lough J., 2016, Vulnerability of Pacific Island agriculture and forestry to climate change, P47
   Meehl GA, 2007, CLIM DYNAM, V29, P779, DOI 10.1007/s00382-007-0268-3
   Mo KC, 2010, J CLIMATE, V23, P3639, DOI 10.1175/2010JCLI3553.1
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Murphy BF, 2014, J CLIMATE, V27, P4015, DOI 10.1175/JCLI-D-13-00130.1
   Nakagawa M, 2000, J TROP ECOL, V16, P355, DOI 10.1017/S0266467400001450
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Perry SJ, 2017, GEOPHYS RES LETT, V44, P10608, DOI 10.1002/2017GL074509
   Poveda G, 2001, WATER RESOUR RES, V37, P2169, DOI 10.1029/2000WR900395
   Power S, 1999, CLIM DYNAM, V15, P319, DOI 10.1007/s003820050284
   Power S, 2006, J CLIMATE, V19, P4755, DOI 10.1175/JCLI3868.1
   Power S, 2017, CLIM DYNAM, V49, P53, DOI 10.1007/s00382-016-3326-x
   Power S, 2013, NATURE, V502, P541, DOI 10.1038/nature12580
   Power SB, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14368
   Power SB, 2012, J CLIMATE, V25, P3792, DOI 10.1175/JCLI-D-11-00354.1
   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]
   Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670
   Ropelewski CF, 1989, J CLIMATE, V2, P268, DOI 10.1175/1520-0442(1989)002<0268:PPAWTH>2.0.CO;2
   Schneider Udo, 2015, GPCC Full Data Reanalysis Version 6.0 at 1.0: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data, DOI DOI 10.5676/DWD_GPCC/FD_M_V7_100
   Seager R, 2012, J CLIMATE, V25, P3355, DOI 10.1175/JCLI-D-11-00363.1
   Shabbar A, 1996, ATMOS OCEAN, V34, P401, DOI 10.1080/07055900.1996.9649570
   Smith I, 2013, J GEOPHYS RES-ATMOS, V118, P10665, DOI 10.1002/jgrd.50818
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   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]
   Watanabe M, 2014, GEOPHYS RES LETT, V41, P3227, DOI 10.1002/2014GL059692
   [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
   Xie PP, 1997, B AM METEOROL SOC, V78, P2539, DOI 10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2
   Zhang RH, 1996, J METEOROL SOC JPN, V74, P49, DOI 10.2151/jmsj1965.74.1_49
   Zhang RH, 1999, ADV ATMOS SCI, V16, P229, DOI 10.1007/BF02973084
NR 53
TC 41
Z9 45
U1 0
U2 14
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 AUG
PY 2018
VL 31
IS 15
BP 6189
EP 6207
DI 10.1175/JCLI-D-18-0138.1
PG 19
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA HB0GR
UT WOS:000450691700001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Roach, T
   Kapelan, Z
   Ledbetter, R
AF Roach, Tom
   Kapelan, Zoran
   Ledbetter, Ralph
TI A Resilience-Based Methodology for Improved Water Resources Adaptation
   Planning under Deep Uncertainty with Real World Application
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Resilience; Robustness; Water resources management; Deep uncertainty;
   Water supply; Climate change adaptation
ID CLIMATE-CHANGE; SYSTEM; VULNERABILITY; RELIABILITY; ALGORITHM; IMPACTS;
   FUTURE
AB Resilience of a water resource system in terms of water supply meeting future demand under climate change and other uncertainties is a prominent issue worldwide. This paper presents an alternative methodology to the conventional engineering practice in the UK for identifying long-term adaptation planning strategies in the context of resilience. More specifically, a resilience-based multi-objective optimization method is proposed that identifies Pareto optimal future adaptation strategies by maximizing a water supply system's resilience (calculated as the maximum recorded duration of a water deficit period over a given planning horizon) and minimizing total associated costs, subject to meeting target system robustness to uncertain projections (scenarios) of future supply and demand. The method is applied to a real-world case study for Bristol Water's water resource zone and the results are compared with those derived using a more conventional engineering practice in the UK, utilizing a least-cost optimization analysis constrained to a target reliability level. The results obtained reveal that the strategy solution derived using the current practice methodology produce a less resilient system than the similar costing solutions identified using the proposed resilience driven methodology. At the same time, resilience driven strategies are only slightly less reliable suggesting that trade-off exists between the two. Further examination of intervention strategies selected shows that the conventional methodology encourages implementation of more lower cost intervention options early in the planning horizon (to achieve higher system reliability) whereas the resilience-based methodology encourages more uniform intervention options sequenced over the planning horizon (to achieve higher system resilience).
C1 [Roach, Tom; Kapelan, Zoran] Univ Exeter, Coll Engn Math & Phys Sci, Harrison Bldg,North Pk Rd, Exeter EX4 4QF, Devon, England.
   [Roach, Tom; Ledbetter, Ralph] HR Wallingford, Howbery Business Pk, Wallingford OX10 8BA, Oxon, England.
C3 University of Exeter; HR Wallingford Limited
RP Roach, T (corresponding author), Univ Exeter, Coll Engn Math & Phys Sci, Harrison Bldg,North Pk Rd, Exeter EX4 4QF, Devon, England.; Roach, T (corresponding author), HR Wallingford, Howbery Business Pk, Wallingford OX10 8BA, Oxon, England.
EM tpr202@ex.ac.uk
OI Roach, Tom/0000-0001-6333-5244; Kapelan, Zoran/0000-0002-0934-4470;
   Ledbetter, Ralph/0000-0003-0764-8187
FU UK Engineering and Physical Sciences Research Council; HR Wallingford;
   University of Exeter through the STREAM Industrial Doctorate Centre
   [EP/G037094/1]
FX This work was financially supported by the UK Engineering and Physical
   Sciences Research Council, HR Wallingford and The University of Exeter
   through the STREAM Industrial Doctorate Centre (Grant EP/G037094/1). We
   thank Bristol Water for allowing the use of their data and information,
   which is available from their publicly available water resources
   management plan.
CR Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], 02WR273 NERA
   [Anonymous], WAT RES MAN PLANS 20
   [Anonymous], BRIST WAT PLC DROUGH
   [Anonymous], WAT SOURC PLANN GUID
   [Anonymous], 2016, CREAT GREAT PLAC LIV
   [Anonymous], 2012 BAS SUBN POP PR
   [Anonymous], UPD UK WID PROJ WAT
   [Anonymous], 2015, WAT SUPPL RES INFR E
   [Anonymous], WAT RES MAN PLAN 201
   [Anonymous], THESIS
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Groves DG, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000471
   Hosseini S, 2016, RELIAB ENG SYST SAFE, V145, P47, DOI 10.1016/j.ress.2015.08.006
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Kjeldsen TR, 2004, HYDROLOG SCI J, V49, P755, DOI 10.1623/hysj.49.5.755.55136
   Korteling B, 2013, WATER RESOUR MANAG, V27, P1149, DOI 10.1007/s11269-012-0164-4
   Kundzewicz ZW, 1995, IAHS-AISH P, P217
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Loucks DP, 1997, HYDROLOG SCI J, V42, P513, DOI 10.1080/02626669709492051
   Mahmoud M, 2009, ENVIRON MODELL SOFTW, V24, P798, DOI 10.1016/j.envsoft.2008.11.010
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Matrosov ES, 2013, J HYDROL, V494, P43, DOI 10.1016/j.jhydrol.2013.03.006
   Matrosov ES, 2013, WATER RESOUR MANAG, V27, P1123, DOI 10.1007/s11269-012-0118-x
   Moody P, 2013, WATER RESOUR RES, V49, P3576, DOI 10.1002/wrcr.20228
   MOY WS, 1986, WATER RESOUR RES, V22, P489, DOI 10.1029/WR022i004p00489
   Nicklow J, 2010, J WATER RES PLAN MAN, V136, P412, DOI 10.1061/(ASCE)WR.1943-5452.0000053
   Paton FL, 2014, WATER RESOUR RES, V50, P6285, DOI 10.1002/2013WR015195
   Prudhomme C, 2012, Future flows climate data
   Python Software Foundation, 2013, PYTH LANG REF VERS 2
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ray PA, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000389
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Roach T, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000660
   Tompkins EL, 2004, ECOL SOC, V9
   Turner SWD, 2014, WATER RESOUR RES, V50, P3553, DOI 10.1002/2013WR015156
   Walker W. E., 2013, Encyclopedia of operations research and management science, P395, DOI [DOI 10.1007/978-1-4419-1153-7, 10.1007/978-1-4419-1153-71140, DOI 10.1007/978-1-4419-1153-71140, 10.1007/978-1-4419-1153-7_1140, DOI 10.1007/978-1-4419-1153-7_1140]
   Wang Q, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000460
   Zheng FF, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000650
NR 43
TC 16
Z9 20
U1 4
U2 33
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 APR
PY 2018
VL 32
IS 6
BP 2013
EP 2031
DI 10.1007/s11269-018-1914-8
PG 19
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA GA0HW
UT WOS:000427995100005
OA Green Published, Green Accepted, hybrid
DA 2025-01-10
ER

PT B
AU Pérez-Suárez, M
   Antón, D
AF Perez-Suarez, Macarena
   Anton, Daniel
BE LealMillan, A
   PerisOrtiz, M
   LealRodriguez, AL
TI Sustainable Social Management: The Case of Co-operatives
SO SUSTAINABILITY IN INNOVATION AND ENTREPRENEURSHIP: POLICIES AND
   PRACTICES FOR A WORLD WITH FINITE RESOURCES
SE Innovation Technology and Knowledge Management
LA English
DT Article; Book Chapter
ID LIFE-CYCLE ASSESSMENT; CLIMATE-CHANGE ADAPTATION; MEDIUM-SIZED
   ENTERPRISES; SUPPLY CHAIN MANAGEMENT; CO2 EMISSIONS; ENVIRONMENTAL
   ASSESSMENT; ENERGY EFFICIENCY; CORPORATE SUSTAINABILITY;
   CONCEPTUAL-FRAMEWORK; CARBON FOOTPRINT
AB Co-operative societies are significant in Andalusia, given the fact that the regional Social Economy leads the national outlook. Scientific literature generally supports their socioeconomic impact and business social responsibility, which are studied, as a whole rather than in detail, with regards to environmental aspects. Despite the global situation regarding the need to enhance energy efficiency, the manner in which these co-operatives take it into account is not clearly shown. Consequently, this research provides a series of effective measures for CO2 emission mitigation and energy efficiency improvement. Thus, the aim was to understand the sustainable responsibility of co-operatives by means of CO2 emission evaluation and their sources. Additionally, this research enquires into the available supporting economic incentives that are proposed and describes effective mitigation measures supported by the regulations regarding prevention and environmental quality. A participatory analysis of the selected co-operatives was also performed with a view to defining economic-environmental indicators and to provoking a gradual improvement of sustainability concerning their performance. The outcomes of this research reveal the scarce concern of companies with regards to the energy consumption and the economic and environmental impact. In conclusion, co-operatives need to optimise the social management from defined environmental practice in order to modify their behaviour. Their strategic direction has to encompass climate change risks and opportunities in their analysis and control systems. In this sense, this clearly specific commitment of co-operatives establishes a rising tendency to guarantee a stable productive model with minor atmospheric pollution.
C1 [Perez-Suarez, Macarena; Anton, Daniel] Univ Seville, Seville, Spain.
C3 University of Sevilla
RP Pérez-Suárez, M (corresponding author), Univ Seville, Seville, Spain.
EM mperez32@us.es
RI Perez-Suarez, Macarena/I-8028-2016; Anton Garcia, Daniel/F-5206-2015
OI Perez-Suarez, Macarena/0000-0003-4682-3873; Anton Garcia,
   Daniel/0000-0002-4267-2433
CR Agan Y, 2013, J CLEAN PROD, V51, P23, DOI 10.1016/j.jclepro.2012.12.043
   Alcantara V, 2009, ECOL ECON, V68, P905, DOI 10.1016/j.ecolecon.2008.07.010
   Cardenete MA, 2008, ECON AGRAR RECUR NAT, V8, P31
   Anaya-Romero M, 2015, LAND DEGRAD DEV, V26, P441, DOI 10.1002/ldr.2363
   [Anonymous], 2012, REVIBEC REV RED IBER
   [Anonymous], PROMOTING COMPLIANCE
   Arias R, 2014, WATER-SUI, V6, P3049, DOI 10.3390/w6103049
   Arnaez V. M., 2011, B ASOCIACION INT DER, V45, P197
   Balabanov V.S., 2015, Asian Social Science, V11, P111, DOI [10.5539/ass.v11n8p111, DOI 10.5539/ASS.V11N8P111]
   Baró F, 2014, AMBIO, V43, P466, DOI 10.1007/s13280-014-0507-x
   BARRERA J.J., 2008, CIRIEC, V62, P183
   Bermejo, 2013, REV EC CRITICA, V16, P215
   Bermejo, 2010, CUADERNOS TRABAJO HE, P1
   Borghesi S, 2015, ENVIRON SCI POLICY, V54, P377, DOI 10.1016/j.envsci.2015.05.021
   Borzaga Carlo, 2012, Rev. Adm. (São Paulo), V47, P398, DOI 10.1590/S0080-21072012000300005
   Britton J, 2014, LOCAL ECON, V29, P617, DOI 10.1177/0269094214548664
   Burke BJ, 2010, LAT AM PERSPECT, V37, P30, DOI 10.1177/0094582X10382098
   Butcher B, 2014, CHIN ECON, V47, P63, DOI 10.2753/CES1097-1475470403
   Camara A., 2013, ESTUDIOS EC APLICADA, V31, P6
   Camisón C, 2010, EUR MANAG J, V28, P346, DOI 10.1016/j.emj.2010.03.001
   Cansino J. M., 2016, CARBON MANAGEMENT, P1
   Cantore N, 2011, ENERG POLICY, V39, P2919, DOI 10.1016/j.enpol.2011.02.070
   Cantore N, 2010, NANOTECHNOLOGY AND MICROELECTRONICS: GLOBAL DIFFUSION, ECONOMICS AND POLICY, P243, DOI 10.4018/978-1-61692-006-7.ch015
   Cardozo M., 2003, Economia, Sociedad y Territorio, V4, P163
   Ibáñez PC, 2013, REVESCO-REV ESTUD CO, P43, DOI 10.5209/rev_REVE.2013.v110.41444
   Carretero A., 2012, GESTION EFICIENCIA E
   CDP, 2015, INF 2015 CAMB CLIM T
   CEPES-Espana, 2016, EMPR MAS REL EC SOC
   Chaves R, 2012, SERV BUS, V6, P5, DOI 10.1007/s11628-011-0125-7
   Chik NA, 2013, PERTANIKA J SOC SCI, V21, P13
   Clarke-Sather AR, 2011, INT J ACCOUNT INF MA, V19, P247, DOI 10.1108/18347641111169250
   Cochran I, 2015, ACCOUNTING FOR CARBON: MONITORING, REPORTING AND VERIFYING EMISSIONS IN THE CLIMATE ECONOMY, P72
   Doudnikoff M, 2014, INT J SHIP TRANS LOG, V6, P213, DOI 10.1504/IJSTL.2014.059571
   Eduardo L, 2013, AGROCIENCIA-URUGUAY, V17, P99
   Escolano V. A., 2009, REV GALEGA EC, V19, P1
   European Environment Agency (EEA), 2016, EU ANN GREENH GAS IN
   Faccio Maurizio, 2013, International Journal of Services and Operations Management, V16, P310
   Feng Shaw C., 2011, International Journal of Sustainable Manufacturing, V2, P204
   Ficueroa E, 2009, ESTUD ECONOMIA, V36, P5
   Freire-González J, 2014, REV ESTUD REG, P47
   Galappaththi EK, 2016, MAR POLICY, V68, P187, DOI 10.1016/j.marpol.2016.03.013
   de Jalón SG, 2013, ENVIRON SCI POLICY, V29, P1, DOI 10.1016/j.envsci.2013.01.010
   Gazi A, 2012, J CLEAN PROD, V32, P10, DOI 10.1016/j.jclepro.2012.03.007
   Glock CH, 2012, INT J LOGIST MANAG, V23, P340, DOI 10.1108/09574091211289219
   González-Eguino M, 2011, REV ECON APL-SPAIN, V19, P89
   Gutberlet J, 2012, GEOGR COMPASS, V6, P19, DOI 10.1111/j.1749-8198.2011.00468.x
   HERMAN R, 1990, TECHNOL FORECAST SOC, V38, P333, DOI 10.1016/0040-1625(90)90003-E
   Iglesias J., 2013, EC IND, V389, P135
   JAIO GABOPNA E., 2016, REVESCO REV ESTUDIOS, P165
   Jalil A, 2009, ENERG POLICY, V37, P5167, DOI 10.1016/j.enpol.2009.07.044
   Khanna C, 2013, J CORP REAL ESTATE, V15, P213, DOI 10.1108/JCRE-01-2013-0003
   Kostka G, 2013, J CLEAN PROD, V57, P59, DOI 10.1016/j.jclepro.2013.06.025
   Kovács AJ, 2012, J IND ECOL, V16, P153, DOI 10.1111/j.1530-9290.2011.00446.x
   Laing T, 2014, WIRES CLIM CHANGE, V5, P509, DOI 10.1002/wcc.283
   Mace M. J., 2011, PROMOTING COMPLIANCE, V1, P286
   MAGRAMA (Ministerio de Agricultura Alimentacion y Medio Ambiente), 2015, GUIA PAR CALC HUELL
   Malmodin J, 2014, J IND ECOL, V18, P829, DOI 10.1111/jiec.12145
   Meinrenken CJ, 2014, J IND ECOL, V18, P641, DOI 10.1111/jiec.12182
   Melnik A. N., 2014, MEDITERRANEAN J SOCI, V5, P173, DOI DOI 10.5901/INISS.2014.V5N12P173
   MELNIK AN, 2013, WORLD APPL SCI J, V23, P1085, DOI DOI 10.5829/idosi.wasj.2013.23.08.13131
   Mercader MP, 2012, INF CONSTR, V64, P401, DOI 10.3989/ic.10.082
   Milford RL, 2011, RESOUR CONSERV RECY, V55, P1185, DOI 10.1016/j.resconrec.2011.05.021
   Monfort E, 2010, BOL SOC ESP CERAM V, V49, P303
   Montoya-Torres JR, 2015, PROD PLAN CONTROL, V26, P265, DOI 10.1080/09537287.2014.894215
   Nakicenovic N, 1996, TECHNOL FORECAST SOC, V51, P1, DOI 10.1016/0040-1625(95)00167-0
   Neves-Silva R, 2012, SMART INNOV SYST TEC, V15, P185
   Ortiz A, 2013, INTERCIENCIA, V38, P179
   Ostad-Ahmad-Ghorabi MJ, 2013, J CLEAN PROD, V41, P23, DOI 10.1016/j.jclepro.2012.10.002
   Osti G., 2012, Sustainability: Science, Practice & Policy, V8, P82
   Panayotou T., 1993, EMPIRICAL TESTS POLI
   Ubeda JAP, 2011, CUAD ECON DIR EMPRES, V14, P151, DOI 10.1016/j.cede.2011.02.001
   Qiu YM, 2015, APPL ECON, V47, P2218, DOI 10.1080/00036846.2015.1005820
   Ramos TB, 2013, J CLEAN PROD, V52, P317, DOI 10.1016/j.jclepro.2013.03.002
   Reinosa D. C., 2014, REV CIENCIAS SOCIALE, V20, P140
   Ren SG, 2014, CHINA ECON REV, V28, P123, DOI 10.1016/j.chieco.2014.01.003
   Robiou du Pont Y, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054005
   Roca Jordi y., 2003, Economia Industrial, No, P73
   Díaz-Vázquez MR, 2010, REV ECON MUND, P85
   Russi D., 2002, REV CIENC SOC-VENEZ, V15, P123
   Scott M., 2012, BLED 2012 P
   Senise Barrio O., 2008, Revista de Economia Publica, Social y Cooperativa, P157
   Solomon S, 2009, P NATL ACAD SCI USA, V106, P1704, DOI 10.1073/pnas.0812721106
   Sozer H., 2010, BUILD ENVIRON, V45, P2581
   Sueyoshi T, 2014, ENERG ECON, V46, P360, DOI 10.1016/j.eneco.2014.09.022
   Sueyoshi T, 2014, ENERG ECON, V45, P537, DOI 10.1016/j.eneco.2014.07.024
   Thollander P, 2015, J CLEAN PROD, V104, P282, DOI 10.1016/j.jclepro.2015.04.073
   Tseng YC, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8060531
   Uddin Mueen, 2011, International Journal of Green Economics, V5, P353, DOI 10.1504/IJGE.2011.044619
   Van den Heede P, 2012, INT J ENVIRON SUSTAI, V11, P32, DOI 10.1504/IJESD.2012.049141
   Wang D, 2014, ENERG ECON, V45, P254, DOI 10.1016/j.eneco.2014.07.009
   Wang Y, 2014, INT J PROD ECON, V156, P246, DOI 10.1016/j.ijpe.2014.06.015
   Watkins Gary, 2010, Progress in Industrial Ecology, V7, P185, DOI 10.1504/PIE.2010.037775
   Wei C, 2015, ENERG ECON, V49, P33, DOI 10.1016/j.eneco.2015.02.002
   WWF-Espana, 2016, OBS EL MAY 2016
   Xie LN, 2013, TECHNOL ECON DEV ECO, V19, pS471, DOI 10.3846/20294913.2013.879751
   Yazan DM, 2016, RESOUR CONSERV RECY, V107, P38, DOI 10.1016/j.resconrec.2015.11.012
   Zeman F, 2014, ENVIRON SCI TECHNOL, V48, P11730, DOI 10.1021/es502887y
   Zhu JM, 2015, URBAN STUD, V52, P1395, DOI 10.1177/0042098014534736
NR 98
TC 0
Z9 0
U1 2
U2 11
PU SPRINGER
PI NEW YORK
PA 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES
BN 978-3-319-57318-2; 978-3-319-57317-5
J9 INNOV TECH KNOWL MAN
PY 2018
BP 63
EP 86
DI 10.1007/978-3-319-57318-2_5
D2 10.1007/978-3-319-57318-2
PG 24
WC Business, Finance; Green & Sustainable Science & Technology; Economics;
   Management
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH)
SC Business & Economics; Science & Technology - Other Topics
GA BJ9SE
UT WOS:000429818800007
DA 2025-01-10
ER

PT J
AU Piniewski, M
   Szczesniak, M
   Kundzewicz, ZW
   Mezghani, A
   Hov, O
AF Piniewski, Mikolaj
   Szczesniak, Mateusz
   Kundzewicz, Zbigniew W.
   Mezghani, Abdelkader
   Hov, Oystein
TI Changes in low and high flows in the Vistula and the Odra basins: Model
   projections in the European-scale context
SO HYDROLOGICAL PROCESSES
LA English
DT Article
DE climate change impact; floods; hydrological projections; intercomparison
   of projections; low flows; Poland; SWAT
ID CLIMATE-CHANGE; HYDROLOGICAL DROUGHTS; FLOOD HAZARD; SIMULATION;
   UNCERTAINTIES; PRECIPITATION; 21ST-CENTURY; STATIONARITY; REGIMES;
   IMPACT
AB A number of extensive droughts and destructive floods have occurred in Poland in the last 25years; hence, projections of low and high river flows are of considerable interest and importance. In the first part of this paper, projections of low and high flows in the rivers of the Vistula and the Odra basins (VOB region), for two future time horizons, are presented. Projections are based on the Soil and Water Assessment Tool (SWAT) hydrological model simulations driven by results of the EURO-CORDEX experiment under Representative Concentration Pathways 4.5 and 8.5. The VOB region covers most of Poland and parts of five neighboring countries, giving this study an international relevance. In the second part of the paper, a review of projections of low and high flows in rivers in Central and Eastern Europe is presented. Despite a substantial spread of flow projections, the main message of the modelling part is that increases of both low and high flows are dominating. The magnitude of increase of low flow is considerably higher than that of high flow. In other words, future streamflow droughts are projected to be less severe, whereas, in contrast, river floods are projected to increase, which is a challenge for flood risk reduction, water management, and climate change adaptation. There is an overall agreement of our findings for the VOB region with projections of hydrological extremes from large-scale models forced by EURO-CORDEX results in the European-scale studies.
C1 [Piniewski, Mikolaj; Szczesniak, Mateusz] Warsaw Univ Life Sci, Dept Hydraul Engn, Ul Nowoursynowska 159, PL-02776 Warsaw, Poland.
   [Piniewski, Mikolaj; Kundzewicz, Zbigniew W.] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany.
   [Kundzewicz, Zbigniew W.] Polish Acad Sci, Inst Agr & Forest Environm, PL-60809 Poznan, Poland.
   [Mezghani, Abdelkader; Hov, Oystein] Norwegian Meteorol Inst, N-0313 Oslo, Norway.
C3 Warsaw University of Life Sciences; Potsdam Institut fur
   Klimafolgenforschung; Polish Academy of Sciences; Norwegian
   Meteorological Institute
RP Piniewski, M (corresponding author), Warsaw Univ Life Sci, Dept Hydraul Engn, Ul Nowoursynowska 159, PL-02776 Warsaw, Poland.
EM mpiniewski@levis.sggw.pl
RI Piniewski, Mikolaj/IZQ-0656-2023; Piniewski, Mikolaj/A-5159-2012
OI Kundzewicz, Zbigniew/0000-0002-3579-5072; Piniewski,
   Mikolaj/0000-0001-7930-4549
FU Narodowe Centrum Badan i Rozwoju [CHASE-PL, Pol Nor/200799/90/2014]
FX Narodowe Centrum Badan i Rozwoju, Grant/ Award Number: CHASE-PL project
   No. Pol Nor/200799/90/2014
CR Alfieri L, 2015, HYDROL EARTH SYST SC, V19, P2247, DOI 10.5194/hess-19-2247-2015
   [Anonymous], 2014, HYDROL PRO, DOI DOI 10.1002/hyp.9747
   [Anonymous], 2014, NAUKA
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   ARNELL NW, 1992, J HYDROL, V132, P321, DOI 10.1016/0022-1694(92)90184-W
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Berezowski T, 2016, EARTH SYST SCI DATA, V8, P127, DOI 10.5194/essd-8-127-2016
   Dankers R, 2014, P NATL ACAD SCI USA, V111, P3257, DOI 10.1073/pnas.1302078110
   Dankers R, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2008JD011523
   Döll P, 2015, HYDROLOG SCI J, V60, P4, DOI 10.1080/02626667.2014.967250
   Fischer EM, 2014, GEOPHYS RES LETT, V41, P8554, DOI 10.1002/2014GL062018
   Forzieri G, 2014, HYDROL EARTH SYST SC, V18, P85, DOI 10.5194/hess-18-85-2014
   Giuntoli I, 2015, EARTH SYST DYNAM, V6, P267, DOI 10.5194/esd-6-267-2015
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hirabayashi Y, 2008, HYDROLOG SCI J, V53, P754, DOI 10.1623/hysj.53.4.754
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Huang S., 2017, CLIMATIC CHANGE
   Huang SC, 2013, ACTA GEOPHYS, V61, P151, DOI 10.2478/s11600-012-0065-1
   Kdziora A., 2014, Nauka, V1, P149
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Krysanova V, 2017, CLIMATIC CHANGE, V141, P363, DOI 10.1007/s10584-017-1919-y
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Kundzewicz ZW, 2017, HYDROLOG SCI J, V62, P1, DOI 10.1080/02626667.2016.1241398
   Kundzewicz Z.W., 2012, CHANGES FLOOD RISK E, DOI 10.1201/b12348
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Marcinkowski P, 2017, WATER-SUI, V9, DOI 10.3390/w9030156
   McIntosh BS, 2011, ENVIRON MODELL SOFTW, V26, P1389, DOI 10.1016/j.envsoft.2011.09.009
   Meresa HK, 2016, WATER-SUI, V8, DOI 10.3390/w8050206
   Mezghani A., 2016, CHASE PL CLIMA UNPUB
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Milly PCD, 2015, WATER RESOUR RES, V51, P7785, DOI 10.1002/2015WR017408
   Neitsch S.L., 2011, Soil Water Assessment Tool - Theoretical Documentation - Version 2009Rep, P406
   Osuch M., 2016, STOCHASTIC ENV RES R
   Papadimitriou LV, 2016, HYDROL EARTH SYST SC, V20, P1785, DOI 10.5194/hess-20-1785-2016
   Piniewski M, 2017, HYDROLOG SCI J, V62, P1266, DOI 10.1080/02626667.2017.1321842
   Piniewski M., 2017, CHASE PL FUTURE HYDR
   Piniewski M., 2017, METEOROLOGISCHE ZEIT
   Prudhomme C, 2014, P NATL ACAD SCI USA, V111, P3262, DOI 10.1073/pnas.1222473110
   Rojas R, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017461
   Rojas R, 2011, HYDROL EARTH SYST SC, V15, P2599, DOI 10.5194/hess-15-2599-2011
   Roudier P, 2016, CLIMATIC CHANGE, V135, P341, DOI 10.1007/s10584-015-1570-4
   Schilling KE, 2014, HYDROL PROCESS, V28, P3314, DOI 10.1002/hyp.9865
   Schneider C, 2013, HYDROL EARTH SYST SC, V17, P325, DOI 10.5194/hess-17-325-2013
   Sellami H, 2016, HYDROLOG SCI J, V61, P1415, DOI 10.1080/02626667.2015.1040801
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Stewart IT, 2015, J HYDROL, V529, P340, DOI 10.1016/j.jhydrol.2015.07.043
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   Van Lanen HAJ, 2016, HYDROL PROCESS, V30, P3097, DOI 10.1002/hyp.10838
   Zhang XJ, 2015, J HYDROMETEOROL, V16, P2187, DOI 10.1175/JHM-D-14-0218.1
   Zhang XJ, 2014, J HYDROL, V515, P205, DOI 10.1016/j.jhydrol.2014.04.064
NR 50
TC 39
Z9 39
U1 1
U2 31
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0885-6087
EI 1099-1085
J9 HYDROL PROCESS
JI Hydrol. Process.
PD JUN 15
PY 2017
VL 31
IS 12
BP 2210
EP 2225
DI 10.1002/hyp.11176
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA EX0BZ
UT WOS:000402884400006
DA 2025-01-10
ER

PT J
AU Ellison, D
   Morris, CE
   Locatelli, B
   Sheil, D
   Cohen, J
   Murdiyarso, D
   Gutierrez, V
   van Noordwijk, M
   Creed, IF
   Pokorny, J
   Gaveau, D
   Spracklen, DV
   Tobella, AB
   Ilstedt, U
   Teuling, AJ
   Gebrehiwot, SG
   Sands, DC
   Muys, B
   Verbist, B
   Springgay, E
   Sugandi, Y
   Sullivan, CA
AF Ellison, David
   Morris, Cindy E.
   Locatelli, Bruno
   Sheil, Douglas
   Cohen, Jane
   Murdiyarso, Daniel
   Gutierrez, Victoria
   van Noordwijk, Meine
   Creed, Irena F.
   Pokorny, Jan
   Gaveau, David
   Spracklen, Dominick V.
   Tobella, Aida Bargues
   Ilstedt, Ulrik
   Teuling, Adriaan J.
   Gebrehiwot, Solomon Gebreyohannis
   Sands, David C.
   Muys, Bart
   Verbist, Bruno
   Springgay, Elaine
   Sugandi, Yulia
   Sullivan, Caroline A.
TI Trees, forests and water: Cool insights for a hot world
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Forest; Water; Energy; Climate; Carbon; Reforestation; Mitigation
ID SECONDARY ORGANIC AEROSOL; CLIMATE-CHANGE MITIGATION; AMAZON BASIN;
   PLANT-ROOTS; RAIN-FOREST; LAND-USE; COVER; CARBON; SOIL; ADAPTATION
AB Forest-driven water and energy cycles are poorly integrated into regional, national, continental and global decision-making on climate change adaptation, mitigation, land use and water management. This constrains humanity's ability to protect our planet's climate and life-sustaining functions. The substantial body of research we review reveals that forest, water and energy interactions provide the foundations for carbon storage, for cooling terrestrial surfaces and for distributing water resources. Forests and trees must be recognized as prime regulators within the water, energy and carbon cycles. If these functions are ignored, planners will be unable to assess, adapt to or mitigate the impacts of changing land cover and climate. Our call to action targets a reversal of paradigms, from a carbon-centric model to one that treats the hydrologic and climate-cooling effects of trees and forests as the first order of priority. For reasons of sustainability, carbon storage must remain a secondary, though valuable, by-product. The effects of tree cover on climate at local, regional and continental scales offer benefits that demand wider recognition. The forest- and tree-centered research insights we review and analyze provide a knowledge-base for improving plans, policies and actions. Our understanding of how trees and forests influence water, energy and carbon cycles has important implications, both for the structure of planning, management and governance institutions, as well as for how trees and forests might be used to improve sustainability, adaptation and mitigation efforts. (C) 2017 The Author(s). Published by Elsevier Ltd.
C1 [Ellison, David; Tobella, Aida Bargues; Ilstedt, Ulrik] Swedish Univ Agr Sci SLU, Dept Forest Ecol & Management, Umea, Sweden.
   [Ellison, David] Ellison Consulting, Denver, CO USA.
   [Morris, Cindy E.] INRA, Plant Pathol UR0407, Montfavet, France.
   [Morris, Cindy E.; Sands, David C.] Montana State Univ, Dept Plant Sci & Plant Pathol, Bozeman, MT 59717 USA.
   [Locatelli, Bruno] Agr Res Dev CIRAD, Paris, France.
   [Locatelli, Bruno] Ctr Int Forestry Res CIFOR, Lima, Peru.
   [Sheil, Douglas] Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, As, Norway.
   [Cohen, Jane] Univ Texas Austin, Texas Law, Austin, TX 78712 USA.
   [Murdiyarso, Daniel; Gaveau, David] Ctr Int Forestry Res CIFOR, Bogor, Indonesia.
   [Murdiyarso, Daniel] Bogor Agr Univ, Dept Geophys & Meteorol, Bogor, Indonesia.
   [Gutierrez, Victoria] WeForest, London, England.
   [van Noordwijk, Meine] World Agroforestry Ctr ICRAF, Bogor, Indonesia.
   [van Noordwijk, Meine] Wageningen Univ & Res, Plant Prod Syst, Wageningen, Netherlands.
   [Creed, Irena F.] Western Univ, Dept Biol, London, ON, Canada.
   [Pokorny, Jan] Ops Trebon, ENKI, Trebon, Czech Republic.
   [Spracklen, Dominick V.] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire, England.
   [Teuling, Adriaan J.] Wageningen Univ & Res, Hydrol & Quantitat Water Management Grp, Wageningen, Netherlands.
   [Gebrehiwot, Solomon Gebreyohannis] Univ Addis Ababa, Ethiopian Inst Water Resources, Addis Ababa, Ethiopia.
   [Gebrehiwot, Solomon Gebreyohannis] Uppsala Univ, Dept Earth Sci, Uppsala, Sweden.
   [Muys, Bart; Verbist, Bruno] Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Forest Nat & Landscape, Leuven, Belgium.
   [Springgay, Elaine] FAO, Rome, Italy.
   [Sugandi, Yulia] Bogor Agr Univ, Bogor, Jawa Barat, Indonesia.
   [Sullivan, Caroline A.] Southern Cross Univ, Sch Environm Sci & Engn, Lismore, NSW, Australia.
C3 Swedish University of Agricultural Sciences; INRAE; Montana State
   University System; Montana State University Bozeman; CIRAD; CGIAR;
   Center for International Forestry Research (CIFOR); Norwegian University
   of Life Sciences; University of Texas System; University of Texas
   Austin; CGIAR; Center for International Forestry Research (CIFOR); Bogor
   Agricultural University; Wageningen University & Research; Western
   University (University of Western Ontario); ENKI o.p.s.; University of
   Leeds; Wageningen University & Research; Addis Ababa University; Uppsala
   University; KU Leuven; Food & Agriculture Organization of the United
   Nations (FAO); Bogor Agricultural University; Southern Cross University
RP Ellison, D (corresponding author), Ellison Consulting, Denver, CO USA.
EM EllisonDL@Gmail.com
RI Bargués Tobella, Aida/GRE-6221-2022; Spracklen, Dominick/AAA-6257-2019;
   van Noordwijk, Meine/C-3338-2008; Teuling, Ryan/D-2318-2014; Spracklen,
   Dominick/B-4890-2014; Murdiyarso, Daniel/M-4245-2019; Muys,
   Bart/ABN-3906-2022; Sheil, Douglas/N-3291-2019; Locatelli,
   Bruno/C-9957-2009; Ellison, David/AFK-5297-2022; Sheil,
   Douglas/A-3867-2015; Sullivan, Caroline A./T-8668-2017; Creed,
   Irena/L-8810-2013; Muys, Bart/A-3194-2015; Verbist, Bruno/D-3767-2013;
   van Noordwijk, Meine/JRX-7633-2023; Ilstedt, Ulrik/C-9138-2013
OI Locatelli, Bruno/0000-0003-2983-1644; Gutierrez,
   Victoria/0000-0002-0101-2762; Gebrehiwot, Solomon
   Gebreyohannis/0000-0001-7190-3176; Ellison, David/0000-0002-3755-6024;
   Sheil, Douglas/0000-0002-1166-6591; Sullivan, Caroline
   A./0000-0001-8486-0523; Creed, Irena/0000-0001-8199-1472; Muys,
   Bart/0000-0001-9421-527X; Verbist, Bruno/0000-0001-5169-7176;
   Bargues-Tobella, Aida/0000-0001-5632-4061; van Noordwijk,
   Meine/0000-0002-7791-4703; Ilstedt, Ulrik/0000-0002-5005-2568;
   Spracklen, Dominick V/0000-0002-7551-4597
FU KU Leuven; CGIAR Research Program on Forests, Trees and Agroforestry
   (CRP-FTA); Australian Research Council [LP130100498]; ENKI; Belgian
   Development Cooperation through VLIR-UOS; Australian Research Council
   [LP130100498] Funding Source: Australian Research Council
FX We thank anonymous reviewers for helpful comments. The authors would
   also like to thank David Aldred and Jacqueline Serran for assistance
   with figures. WeForest and KLIMOS contributed partial funding for a
   workshop hosted by KU Leuven and held in June 2015, where initial parts
   of this paper were drafted. The authors would also like to acknowledge
   support from the CGIAR Research Program on Forests, Trees and
   Agroforestry (CRP-FTA), Australian Research Council fund LP130100498,
   ENKI and the Belgian Development Cooperation through VLIR-UOS.
CR Alkama R, 2016, SCIENCE, V351, P600, DOI 10.1126/science.aac8083
   Andréassian V, 2004, J HYDROL, V291, P1, DOI 10.1016/j.jhydrol.2003.12.015
   Andrich MA, 2013, INT J SUST DEV WORLD, V20, P549, DOI 10.1080/13504509.2013.850752
   [Anonymous], 2014, WATER RESOUR RES, DOI DOI 10.1002/2013WR015197
   [Anonymous], FOR WAT 5 YEAR ACT P
   [Anonymous], 2016, GLOB FOR RES ASS 201
   AZEVEDO J, 1974, ECOLOGY, V55, P1135, DOI 10.2307/1940364
   Bala G, 2007, P NATL ACAD SCI USA, V104, P6550, DOI 10.1073/pnas.0608998104
   Balana BB, 2012, FOREST POLICY ECON, V15, P27, DOI 10.1016/j.forpol.2011.09.008
   Ban-Weiss GA, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034032
   Bayala J, 2002, AGROFOREST SYST, V54, P203, DOI 10.1023/A:1016058906682
   Bigg EK, 2015, ATMOS CHEM PHYS, V15, P2313, DOI 10.5194/acp-15-2313-2015
   Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121
   BOSCH JM, 1982, J HYDROL, V55, P3, DOI 10.1016/0022-1694(82)90117-2
   Bounoua L, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084010
   Brienen RJW, 2015, NATURE, V519, P344, DOI 10.1038/nature14283
   Bruijnzeel LA, 2011, HYDROL PROCESS, V25, P465, DOI 10.1002/hyp.7974
   BRUIJNZEEL L A, 1989, Journal of Tropical Forest Science, V1, P229
   Bruijnzeel L.A., 2001, LAND USE WATER RESOU, V1, P1, DOI [10.22004/ag.econ.47849, DOI 10.22004/AG.ECON.47849]
   Bruijnzeel LA, 2004, AGR ECOSYST ENVIRON, V104, P185, DOI 10.1016/j.agee.2004.01.015
   Calder LI, 2005, BLUE REVOLUTION INTE
   Chapin FS, 2000, GLOBAL CHANGE BIOL, V6, P211, DOI 10.1046/j.1365-2486.2000.06022.x
   De Royer S, 2015, INT FOREST REV, V17, P282
   Debortoli NS, 2017, INT J CLIMATOL, V37, P2889, DOI 10.1002/joc.4886
   DeFries RS, 2010, NAT GEOSCI, V3, P178, DOI 10.1038/NGEO756
   del-Val E, 2006, ECOSYSTEMS, V9, P598, DOI 10.1007/s10021-006-0065-6
   Delzon S, 2005, AGR FOREST METEOROL, V129, P105, DOI 10.1016/j.agrformet.2005.01.002
   Dirmeyer PA, 2009, J HYDROL, V365, P11, DOI 10.1016/j.jhydrol.2008.11.016
   Duffy PB, 2015, P NATL ACAD SCI USA, V112, P13172, DOI 10.1073/pnas.1421010112
   Duguma LA, 2014, ENVIRON MANAGE, V54, P420, DOI 10.1007/s00267-014-0331-x
   Ellison D, 2012, GLOBAL CHANGE BIOL, V18, P806, DOI 10.1111/j.1365-2486.2011.02589.x
   Fan JW, 2007, J GEOPHYS RES-ATMOS, V112, DOI 10.1029/2006JD008136
   Farley KA, 2005, GLOBAL CHANGE BIOL, V11, P1565, DOI 10.1111/j.1365-2486.2005.01011.x
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Ghazoul J., 2010, Tropical rain forest ecology, diversity, and conservation
   Hallquist M, 2009, ATMOS CHEM PHYS, V9, P5155, DOI 10.5194/acp-9-5155-2009
   Hanson MA, 2012, SCIENCE, V335, P851, DOI [10.1126/science.1244693, 10.1126/science.1215904]
   Heiblum RH, 2014, ATMOS CHEM PHYS, V14, P6063, DOI 10.5194/acp-14-6063-2014
   Herring SC, 2015, B AM METEOROL SOC, V96, pS1, DOI 10.1175/BAMS-D-15-00157.1
   Hesslerová P, 2013, ECOL ENG, V54, P145, DOI 10.1016/j.ecoleng.2013.01.036
   Hirsch E, 2011, WORKSH PAYM EC SERV
   Hoekstra AY, 2011, WATER-SUI, V3, P21, DOI 10.3390/w3010021
   Ilstedt U, 2016, SCI REP-UK, V6, DOI 10.1038/srep21930
   Ilstedt U, 2007, FOREST ECOL MANAG, V251, P45, DOI 10.1016/j.foreco.2007.06.014
   Jackson B, 2013, LANDSCAPE URBAN PLAN, V112, P74, DOI 10.1016/j.landurbplan.2012.12.014
   Jackson RB, 2005, SCIENCE, V310, P1944, DOI 10.1126/science.1119282
   Jasechko S, 2013, NATURE, V496, P347, DOI 10.1038/nature11983
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112
   Keys PW, 2012, BIOGEOSCIENCES, V9, P733, DOI 10.5194/bg-9-733-2012
   Khain AP, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/1/015004
   Laestadius L., 2014, GUIDE RESTORATION OP
   Lal R, 1996, LAND DEGRAD DEV, V7, P19
   Launiainen S, 2014, AMBIO, V43, P244, DOI 10.1007/s13280-013-0380-z
   Lawrence D, 2015, NAT CLIM CHANGE, V5, P27, DOI [10.1038/NCLIMATE2430, 10.1038/nclimate2430]
   Lee X, 2011, NATURE, V479, P384, DOI 10.1038/nature10588
   Li Y, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7603
   Liu WJ, 2004, J TROP ECOL, V20, P517, DOI 10.1017/S0266467404001890
   Liu YB, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/9/094010
   Locatelli B, 2016, INT J CLIM CHANG STR, V8, P112, DOI 10.1108/IJCCSM-07-2014-0088
   Locatelli B, 2015, RESTOR ECOL, V23, P337, DOI 10.1111/rec.12209
   Locatelli B, 2009, FOREST ECOL MANAG, V258, P1864, DOI 10.1016/j.foreco.2009.01.015
   Loures F.R., UN WATERCOURSES CONV
   Maes WH, 2011, ECOL MODEL, V222, P3917, DOI 10.1016/j.ecolmodel.2011.08.028
   Maes WH, 2009, ENVIRON SCI TECHNOL, V43, P7324, DOI 10.1021/es900613w
   Makarieva AM, 2007, HYDROL EARTH SYST SC, V11, P1013, DOI 10.5194/hess-11-1013-2007
   Makarieva AM, 2017, TELLUS A, V69, DOI 10.1080/16000870.2016.1272752
   Makarieva AM, 2013, ATMOS CHEM PHYS, V13, P1039, DOI 10.5194/acp-13-1039-2013
   Makarieva AM, 2013, THEOR APPL CLIMATOL, V111, P79, DOI 10.1007/s00704-012-0643-9
   Malmer A, 2010, GLOBAL CHANGE BIOL, V16, P599, DOI 10.1111/j.1365-2486.2009.01984.x
   Meijaard E, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0073008
   Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323
   Montenegro A, 2009, GLOBAL PLANET CHANGE, V69, P195, DOI 10.1016/j.gloplacha.2009.08.005
   Morris C.E., 2016, B AM METEOROL SOC
   Morris CE, 2014, GLOBAL CHANGE BIOL, V20, P341, DOI 10.1111/gcb.12447
   Moskowitz K, 2015, J AFR HIST, V56, P99, DOI 10.1017/S0021853714000668
   Mufioz-Villers L, 2015, MEXICO BOSQUE, V36, P395
   Naudts K, 2016, SCIENCE, V351, P597, DOI 10.1126/science.aad7270
   Neary DG, 2009, FOREST ECOL MANAG, V258, P2269, DOI 10.1016/j.foreco.2009.05.027
   Neumann RB, 2012, NEW PHYTOL, V194, P337, DOI 10.1111/j.1469-8137.2012.04088.x
   Nobre A.D., 2014, The future climate of Amazonia: Scientific assessment repor t
   Nyberg G, 2012, HYDROL EARTH SYST SC, V16, P2085, DOI 10.5194/hess-16-2085-2012
   Nyssen J., 2014, IUFRO World Series, V32, P423
   Oliveira LJC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024021
   Ordonez JC, 2014, CURR OPIN ENV SUST, V6, P54, DOI 10.1016/j.cosust.2013.10.009
   Paquette A, 2011, GLOBAL ECOL BIOGEOGR, V20, P170, DOI 10.1111/j.1466-8238.2010.00592.x
   Pepin NC, 2010, GLOBAL PLANET CHANGE, V74, P61, DOI 10.1016/j.gloplacha.2010.08.001
   Pilas I., 2010, FOREST MANAGEMENT WA, P351
   Pöhlker C, 2012, SCIENCE, V337, P1075, DOI 10.1126/science.1223264
   Pokorny Jan, 2010, International Journal of Water, V5, P311, DOI 10.1504/IJW.2010.038726
   Pongratz J, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL043010
   Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195
   Pramova E, 2012, CLIM POLICY, V12, P393, DOI 10.1080/14693062.2011.647848
   Pretzsch H, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5967
   Prieto I, 2012, NEW PHYTOL, V193, P830, DOI 10.1111/j.1469-8137.2011.04039.x
   Renaud V, 2009, AGR FOREST METEOROL, V149, P873, DOI 10.1016/j.agrformet.2008.11.006
   Reubens B, 2007, TREES-STRUCT FUNCT, V21, P385, DOI 10.1007/s00468-007-0132-4
   Riccobono F, 2014, SCIENCE, V344, P717, DOI 10.1126/science.1243527
   Riitters K, 2016, LANDSCAPE ECOL, V31, P137, DOI 10.1007/s10980-015-0270-9
   RIND D, 1990, J GEOPHYS RES-ATMOS, V95, P9983, DOI 10.1029/JD095iD07p09983
   Ruckelshaus M, 2015, ECOL ECON, V115, P11, DOI 10.1016/j.ecolecon.2013.07.009
   Schlesinger WH, 2014, AGR FOREST METEOROL, V189, P115, DOI 10.1016/j.agrformet.2014.01.011
   Scott DF, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006781
   Sheil D, 2016, FRONT ECOL ENVIRON, V14, P67, DOI 10.1002/fee.1224
   Sheil D, 2014, TRENDS PLANT SCI, V19, P209, DOI 10.1016/j.tplants.2014.01.002
   Sheil D, 2009, BIOSCIENCE, V59, P341, DOI 10.1525/bio.2009.59.4.12
   Sodhi NS, 2010, BIODIVERS CONSERV, V19, P1175, DOI 10.1007/s10531-009-9745-9
   Spracklen DV, 2015, GEOPHYS RES LETT, V42, P9546, DOI 10.1002/2015GL066063
   Spracklen DV, 2012, NATURE, V489, P282, DOI 10.1038/nature11390
   Spracklen DV, 2008, PHILOS T R SOC A, V366, P4613, DOI 10.1098/rsta.2008.0201
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Stickler CM, 2013, P NATL ACAD SCI USA, V110, P9601, DOI 10.1073/pnas.1215331110
   Sullivan CA, 2011, HYDROLOG SCI J, V56, P1640, DOI 10.1080/02626667.2011.630318
   Sullivan C.A., 2011, WATER RESOURCES PLAN
   Syktus JI, 2016, SCI REP-UK, V6, DOI 10.1038/srep29194
   Tan-Soo JS, 2016, ENVIRON RESOUR ECON, V63, P25, DOI 10.1007/s10640-014-9834-4
   Teuling AJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14065
   Teuling AJ, 2010, NAT GEOSCI, V3, P722, DOI 10.1038/NGEO950
   Tokinaga H, 2012, NATURE, V491, P439, DOI 10.1038/nature11576
   Tosca MG, 2010, ATMOS CHEM PHYS, V10, P3515, DOI 10.5194/acp-10-3515-2010
   Trabucco A, 2008, AGR ECOSYST ENVIRON, V126, P81, DOI 10.1016/j.agee.2008.01.015
   van der Ent RJ, 2010, WATER RESOUR RES, V46, DOI 10.1029/2010WR009127
   van Noordwijk M., 2016, HYDROL EARTH SYST SC, P1, DOI [10.5194/hess-2015-538, DOI 10.5194/HESS-2015-538]
   van Noordwijk M, 2014, CURR OPIN ENV SUST, V6, P41, DOI 10.1016/j.cosust.2013.10.008
   Vaughn CC, 2010, BIOSCIENCE, V60, P25, DOI 10.1525/bio.2010.60.1.7
   Verheyen K, 2016, AMBIO, V45, P29, DOI 10.1007/s13280-015-0685-1
   Viste E, 2013, INT J CLIMATOL, V33, P249, DOI 10.1002/joc.3409
   Viviroli D, 2004, HYDROL EARTH SYST SC, V8, P1016
   Vörösmarty CJ, 2015, SCIENCE, V349, P478, DOI 10.1126/science.aac6009
   Wahren A, 2012, J FLOOD RISK MANAG, V5, P321, DOI 10.1111/j.1753-318X.2012.01152.x
   WeForest, 2015, MAN FOR WAT CLIM COO
   Zaitchik BF, 2006, INT J CLIMATOL, V26, P743, DOI 10.1002/joc.1280
   Zhou GY, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6918
   Zimmermann B, 2008, J HYDROL, V361, P78, DOI 10.1016/j.jhydrol.2008.07.027
   Zomer RJ, 2016, SCI REP-UK, V6, DOI 10.1038/srep29987
NR 135
TC 628
Z9 690
U1 26
U2 502
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 2017
VL 43
BP 51
EP 61
DI 10.1016/j.gloenvcha.2017.01.002
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 ER5UL
UT WOS:000398868900005
OA hybrid, Green Published
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Olsson, O
   Eriksson, A
   Sjöström, J
   Anerud, E
AF Olsson, Olle
   Eriksson, Anders
   Sjostrom, Joar
   Anerud, Erik
TI Keep that fire burning: Fuel supply risk management strategies of
   Swedish district heating plants and implications for energy security
SO BIOMASS & BIOENERGY
LA English
DT Article
DE Bioenergy; District heating; Logistics; Supply chain risk management;
   Energy security; Climate change adaptation
ID WOOD FUEL; BIOMASS; ECONOMICS; CHAINS; SWEDEN
AB Recent decades have seen a strong increase in bioenergy utilization in Sweden, from 52 TWh in 1983 to 128 TWh in 2013. Much of this increase has been achieved by replacing fossil fuels with different forms of bioenergy in district heating. Increased use of bioenergy is generally seen as key to reducing fossil fuel consumption and greenhouse gas emissions and improving energy security.
   However, replacing fossil fuels with solid biomass fuels in stationary heat and power generation entails significantly more complicated fuel supply logistics, with geographically scattered material associated with storage difficulties and low energy density. Given these risks and challenges and the key role of biomass-based district heating in the Swedish energy system, disturbances in fuel supply to district heating could potentially be an energy security issue.
   Through literature studies and interviews with employees at 18 district heating plants, we mapped present and future risks and risk management strategies in district heating supply in the Malardalen region, south-east Sweden. We found that although small disturbances to fuel supply are not uncommon, the likelihood of heat supply failures due to fuel supply problems is low. Risk awareness is generally high among fuel supply managers, with widespread use of multilevel redundancies and diversification as key risk management strategies. However, fuel supply to plants is highly dependent on functioning truck transport and, consequently, availability of diesel fuel for trucks. Risk management can be strengthened further by implementation of forward-looking risk assessments that are less reliant on past experiences. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Olsson, Olle] SEI, Linnegatan 87D, SE-10451 Stockholm, Sweden.
   [Eriksson, Anders; Sjostrom, Joar; Anerud, Erik] Swedish Univ Agr Sci SLU, Dept Energy & Technol, POB 7032, SE-75007 Uppsala, Sweden.
C3 Stockholm Environment Institute; Swedish University of Agricultural
   Sciences
RP Olsson, O (corresponding author), SEI, Linnegatan 87D, SE-10451 Stockholm, Sweden.
EM olle.olsson@sei-international.org; anders.kg.eriksson@slu.se;
   joar.sjostrom@gmail.com; erik.anerud@slu.se
RI Eriksson, Anders/KMY-1380-2024
OI Olsson, Olle/0000-0002-4444-9470; Eriksson, Anders/0000-0002-1858-7685
FU Norden Top-level Research Initiative sub-programme 'Effect Studies and
   Adaptation to Climate Change'
FX This paper is a deliverable of the Nordic Centre of Excellence for
   Strategic Adaptation Research (NORD-STAR), which is funded by the Norden
   Top-level Research Initiative sub-programme 'Effect Studies and
   Adaptation to Climate Change.'
CR Administrative County Board of Stockholm, 2004, SAK STOCKH LANS FJAR
   Akhtari S, 2014, ENERGY, V67, P631, DOI 10.1016/j.energy.2014.01.092
   [Anonymous], WORST THAI FLOODS 50
   [Anonymous], 2012, MSB KONS OV MAL
   [Anonymous], SUMM EN STAT DWELL N
   [Anonymous], 2007, QUEST ENERGY SECURIT
   Bauen Ausilio, 2009, A review of status and prospects
   Caputo AC, 2005, BIOMASS BIOENERG, V28, P35, DOI 10.1016/j.biombioe.2004.04.009
   Chester L, 2010, ENERG POLICY, V38, P887, DOI 10.1016/j.enpol.2009.10.039
   Eriksson A., 2011, Energy efficient storage of biomass at Vattenfall heat and power plants
   Harland C., 2003, J PURCH SUPPLY MANAG, V9, P51, DOI [10.1016/S1478-4092(03)00004-9, DOI 10.1016/S1478-4092(03)00004-9]
   Hillring B, 1998, BIOMASS BIOENERG, V14, P425, DOI 10.1016/S0961-9534(97)10036-8
   Hoogwijk M, 2003, BIOMASS BIOENERG, V25, P119, DOI 10.1016/S0961-9534(02)00191-5
   Jirjis R, 1995, BIOMASS BIOENERG, V9, P181, DOI 10.1016/0961-9534(95)00090-9
   Johansson B, 2013, ENERGY, V53, P199, DOI 10.1016/j.energy.2013.03.012
   Junginger M, 2005, BIOMASS BIOENERG, V29, P399, DOI 10.1016/j.biombioe.2005.06.006
   Karhunen A, 2015, BIOMASS BIOENERG, V77, P45, DOI 10.1016/j.biombioe.2015.03.019
   Lee HL, 2004, HARVARD BUS REV, V82, P102
   Li XR, 2006, J HAZARD MATER, V135, P15, DOI 10.1016/j.jhazmat.2005.11.034
   Magnusson D., 2015, AGARFORANDRINGAR SVE
   Månsson A, 2014, ENERGY, V73, P1, DOI 10.1016/j.energy.2014.06.073
   Richardson J., 2002, BIOENERGY SUSTAINABL
   Rumsfeld D.H., 2002, DOD NEWS BRIEF SECR
   Sjostrom J., 2015, ENERGISAKERHETEN FJA
   Skoldberg H., 2014, Varmemarknaden i Sverige - en samlad bild
   Sodhi M. S., 2003, RISK MANAGEMENT, V172, P3, DOI [10.1007/978-1-4614-3238, DOI 10.1007/978-1-4614-3238]
   Swedish District Heating Association, 2015, UPPD LCP BREF EM STO
   Swedish Energy Agency, 2007, BRANSL VID KRAFTV VA
   The Swedish Association of Road Transport Companies, 2011, VECK UT LASTB
   Thoernqvist T., 1983, FUEL CHIPS CHANGE ON
   Urciuoli L, 2014, SUPPLY CHAIN MANAG, V19, P46, DOI 10.1108/SCM-09-2012-0307
   Valente C., 2012, INT J FOR ENG, V23
   Winzer C, 2012, ENERG POLICY, V46, P36, DOI 10.1016/j.enpol.2012.02.067
   Wolfsmayr UJ, 2014, BIOMASS BIOENERG, V60, P203, DOI 10.1016/j.biombioe.2013.10.025
NR 34
TC 23
Z9 23
U1 0
U2 30
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0961-9534
EI 1873-2909
J9 BIOMASS BIOENERG
JI Biomass Bioenerg.
PD JUL
PY 2016
VL 90
BP 70
EP 77
DI 10.1016/j.biombioe.2016.03.015
PG 8
WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy &
   Fuels
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels
GA DO4GQ
UT WOS:000377740200009
DA 2025-01-10
ER

PT C
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.
BE Edwards, D
   Oldroyd, G
TI Climate change impact and adaptation research requires farming systems
   analysis and integrated assessment: a case study in the Netherlands
SO AGRICULTURE AND CLIMATE CHANGE - ADAPTING CROPS TO INCREASED UNCERTAINTY
   (AGRI 2015)
SE Procedia Environmental Sciences
LA English
DT Proceedings Paper
CT 4th International Conference on Agriculture and Horticulture (AGRI)
CY FEB 15-17, 2015
CL Amsterdam, NETHERLANDS
DE climate change adaptation; scenario; farm diversity; crop simulation;
   bio-economic farm modelling
AB Rather than on crop modelling only, climate change impact assessments in agriculture need to be based on farming systems analysis and integrated assessment. With a case study for arable farming in Flevoland, the Netherlands (Reidsma et al., 2015), 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 semi-quantitative and participatory method assessing impacts of extreme events, shows that there are nevertheless several climate risks (Schaap et al., 2013). 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 (Kanellopoulos et al., 2014). Also farm structural change will influence impacts and adaptation (Mandryk et al., 2012). 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 farm level, impacts may be less negative 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. (C) 2015 The Authors. Published by Elsevier B.V.
C1 [Reidsma, Pytrik; Wolf, Joost; Kanellopoulos, Argyris; Mandryk, Maryia; van Ittersum, Martin K.] Wageningen Univ, Plant Prod Syst Grp, POB 430, 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 van Ittersum, Martin/J-8024-2014; Kanellopoulos, Antonis/I-5437-2015
CR Kanellopoulos A, 2014, EUR J AGRON, V52, P69, DOI 10.1016/j.eja.2013.10.003
   Mandryk M, 2012, LANDSCAPE ECOL, V27, P509, DOI [10.1007/s10980-012-9714-7, 10.1007/s10980-012-9721-8]
   Reidsma P., 2015, ENV RES LET IN PRESS
   Schaap BF, 2013, EUR J AGRON, V48, P30, DOI 10.1016/j.eja.2013.02.004
NR 4
TC 11
Z9 13
U1 0
U2 9
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1878-0296
J9 PROCEDIA ENVIRON SCI
PY 2015
VL 29
BP 286
EP 287
DI 10.1016/j.proenv.2015.07.216
PG 2
WC Agronomy
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture
GA BF4HW
UT WOS:000380953000158
OA gold
DA 2025-01-10
ER

PT J
AU Boon, HJ
AF Boon, Helen J.
TI Disaster resilience in a flood-impacted rural Australian town
SO NATURAL HAZARDS
LA English
DT Article
DE Resilience; Disaster; Community; Climate change
ID COMMUNITY RESILIENCE; PSYCHOLOGICAL SENSE; PLACE; ENVIRONMENT
AB This paper reports exploratory research conducted in a flood-impacted rural Australian town to identify the factors which residents perceived as supporting community resilience to disaster. There is a gap in this research area centred in the Australian disaster context. Since Australia is predicted to be highly impacted by the effects of climate change in the form of an increased incidence of flooding, an urgent need exists to examine the factors that confer resilience to disaster-impacted localities to inform suitable disaster mitigation and adaptation policies for the future. Because of the complexity of community resilience and its interrelationship with individual resilience, a multi-method approach was used: a demographic study to assess community stability and functioning before and after the flood disaster, focus group interviews to obtain from community members their views on what supported them and their community resilience and a survey to generalise the interview findings. Our operating hypothesis was that individuals remaining in the town post-flood were likely to be resilient to the flood disaster. The demographic study results pointed to a resilient community after the floods as they reflected stability in population numbers and socio-economic indicators. The interviews and survey showed that individual resilience was promoted by social connectedness and a sense of place, a factor that was also negatively linked to the desire to relocate from the community. The use of structural equation modelling of our results provided verification of prior research findings about the role of sense of place in supporting individuals' resilience. Results are discussed in the context of future climate change adaptation policy.
C1 James Cook Univ, Sch Educ, Townsville, Qld 4811, Australia.
C3 James Cook University
RP Boon, HJ (corresponding author), James Cook Univ, Sch Educ, Townsville, Qld 4811, Australia.
EM Helen.Boon@jcu.edu.au
RI Boon, Helen/AAE-9909-2020; Boon, Helen/L-3239-2016
OI Boon, Helen/0000-0003-3842-9622
FU Australian Government (Department of Climate Change and Energy
   Efficiency); National Climate Change Adaptation Research Facility
FX This work was carried out with financial support from the Australian
   Government (Department of Climate Change and Energy Efficiency) and the
   National Climate Change Adaptation Research Facility.
CR Altman I., 1992, HUMAN BEHAV ENV ADV, V12
   [Anonymous], STAT CLIM 2012
   [Anonymous], 2012, MAN RISKS EXTR EV DI
   Australian Bureau of Statistics (ABS), 2012, SOC IND AR SEIFA 203
   BARDO JW, 1983, J SOC PSYCHOL, V120, P35, DOI 10.1080/00224545.1983.9712008
   Berry H.L., 2008, RURAL MENTAL HLTH IM
   Bihari M, 2012, LANDSCAPE URBAN PLAN, V106, P253, DOI 10.1016/j.landurbplan.2012.03.011
   Billig M, 2005, GEOJOURNAL, V64, P117, DOI 10.1007/s10708-005-4094-z
   Bonanno GA, 2004, AM PSYCHOL, V59, P20, DOI 10.1037/0003-066X.59.1.20
   Bonanno George A, 2010, Psychol Sci Public Interest, V11, P1, DOI 10.1177/1529100610387086
   Bond T.G., 2007, Applying the Rasch Model: Fundamental Measurement in the Human Sciences, V2nd
   Boon HJ, 2012, NAT HAZARDS, V60, P381, DOI 10.1007/s11069-011-0021-4
   Boon HJ, 2012, RECOVERY DISASTER RE, P467
   Breton Margot., 2001, J COMMUNITY PRACT, V19, P21, DOI DOI 10.1300/J125V09N01_02
   Bureau of Meteorology, 2009, HERB RIV FLOODS JAN
   Chamlee-Wright E, 2009, J URBAN AFF, V31, P615, DOI 10.1111/j.1467-9906.2009.00479.x
   Chang K, 2010, DISASTERS, V34, P289, DOI 10.1111/j.1467-7717.2009.01129.x
   Connor KM, 2003, DEPRESS ANXIETY, V18, P76, DOI 10.1002/da.10113
   Flynn B, 1994, NCP CLIN Q, V4, P1
   Glaser B. G, 2009, STRATEGIE BADANIA JA
   GLYNN TJ, 1981, HUM RELAT, V34, P789, DOI 10.1177/001872678103400904
   Graham H, 2009, LIT REV HIST ENV SEN, P44
   Guha-Sapir D, 2004, 30 YEARS NATURAL DIS
   Hay R, 1998, J ENVIRON PSYCHOL, V18, P5, DOI 10.1006/jevp.1997.0060
   Heene M, 2012, STRUCT EQU MODELING, V19, P36, DOI 10.1080/10705511.2012.634710
   Hegney D G, 2007, Rural Remote Health, V7, P620
   Hidalgo MC, 2001, J ENVIRON PSYCHOL, V21, P273, DOI 10.1006/jevp.2001.0221
   Jonkman SN, 2005, NAT HAZARDS, V34, P151, DOI 10.1007/s11069-004-8891-3
   Kaltenborn BP, 1998, APPL GEOGR, V18, P169, DOI 10.1016/S0143-6228(98)00002-2
   Kline R.B., 2011, PRINCIPLES PRACTICES, DOI [10.15353/cgjsc.v1i1.3787, DOI 10.15353/CGJSC.V1I1.3787]
   Landau J, 2008, J MARITAL FAM THER, V34, P193, DOI 10.1111/j.1752-0606.2008.00064.x
   Larson S, 2013, J ENVIRON MANAGE, V117, P226, DOI 10.1016/j.jenvman.2012.11.035
   Miller JL, 2012, PSYCHOL CAPACITY BUI
   Murphy BL, 2007, NAT HAZARDS, V41, P297, DOI 10.1007/s11069-006-9037-6
   NASAR JL, 1995, J AM PLANN ASSOC, V61, P178, DOI 10.1080/01944369508975631
   Natural Disasters in Australia, 2004, REF MIT REL REC ARR
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Norris FH, 2008, 2 ANN DEP HOM SEC U
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   Norusis M.J., 2003, SPSS 12.0. Statistical Procedures Companion
   Pendola R, 2008, ENVIRON BEHAV, V40, P545, DOI 10.1177/0013916507301399
   Prewitt Diaz JO, 2008, AUSTRALAS J DISASTER, V2008, P1
   Queensland Government, 2009, EM SERV MIN VIS FLOO
   Reich J.W., 2006, DISASTER PREV MANAG, V15, P793, DOI DOI 10.1108/09653560610712739
   Stedman RC, 2003, SOC NATUR RESOUR, V16, P671, DOI 10.1080/08941920309189
   Steele Fritz., 1981, "The Sense of Place"
   Steffen W, 2009, CLIMATE CHANGE 2009
   [Anonymous], 2010, SAGE HDB MIXED METHO, V2nd
   Williams A, 2008, SOC INDIC RES, V85, P5, DOI 10.1007/s11205-007-9129-z
NR 49
TC 80
Z9 91
U1 14
U2 142
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 MAR
PY 2014
VL 71
IS 1
BP 683
EP 701
DI 10.1007/s11069-013-0935-0
PG 19
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 AA9EF
UT WOS:000331395900031
DA 2025-01-10
ER

PT J
AU Heidrich, O
   Dawson, RJ
   Reckien, D
   Walsh, CL
AF Heidrich, Oliver
   Dawson, Richard J.
   Reckien, Diana
   Walsh, Claire L.
TI Assessment of the climate preparedness of 30 urban areas in the UK
SO CLIMATIC CHANGE
LA English
DT Article
ID CHANGE IMPACTS; ADAPTATION; CITIES; VULNERABILITY; PLANS
AB Cities are increasingly aware of the need to mitigate greenhouse gas emissions and adapt to changes in weather patterns leading to the production of urban climate change plans. The few existing systematic studies of these plans have focused on either adaptation or mitigation issues, and are typically based on surveys completed by city officials rather than analysis of documented evidence. To gain insight into the status of adaptation and mitigation action across the UK, climate change documents from 30 urban areas (representing similar to 28 % of the UK's population) were analysed. An Urban Climate Change Preparedness Score, which could be applied to other urban areas outside the UK, has been devised for comparative analysis. This analysis characterizes progress against (i) Assessment, (ii) Planning, (iii) Action, and (iv) Monitoring, for both adaptation and mitigation. The Preparedness Score allows a quantitative comparison of climate change strategies across the urban areas analysed. This methodology can be transferred to other countries and makes an international comparison of urban areas and their climate change adaptation and mitigation plans possible. We found that all areas acknowledge climate change being a threat and that adaptation and mitigation planning and action is required. However, two urban areas did not have official adaptation or mitigation plans. Typically, mitigation activities across all cities were more advanced than adaptation plans. Emissions reduction targets ranged from 10 %-80 % with differing baselines, timeframes and scopes, for defining and meeting these targets. Similar variability was observed across adaptation plans. Several reasons for these differences are considered, but particularly notable is that a combination of incentives and regulation seem to stimulate more comprehensive strategies and action in many urban areas.
C1 [Heidrich, Oliver; Dawson, Richard J.; Walsh, Claire L.] Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Heidrich, Oliver; Dawson, Richard J.; Walsh, Claire L.] Newcastle Univ, Tyndall Ctr Climate Change Res, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
   [Reckien, Diana] Columbia Univ, Ctr Res Environm Decis, New York, NY 10027 USA.
C3 Newcastle University - UK; Newcastle University - UK; Columbia
   University
RP Heidrich, O (corresponding author), Newcastle Univ, Sch Civil Engn & Geosci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.
EM Oliver.heidrich@ncl.ac.uk; richard.dawson@newcastle.ac.uk;
   dianareckien@columbia.edu; claire.walsh@newcastle.ac.uk
RI WALSH, CLAIRE/B-7932-2008; Dawson, Richard/D-6933-2011; Reckien,
   Diana/P-7348-2015
OI Heidrich, Oliver/0000-0002-6581-5572; Reckien,
   Diana/0000-0002-1145-9509; Dawson, Richard/0000-0003-3158-5868; Walsh,
   Claire/0000-0002-4047-1216
FU European Science Foundation [TU0902]; Engineering & Physical Sciences
   Research Council Fellowship [EP/H003630/1]; German Research Foundation
   [RE 2927/2-1]; EPSRC [EP/G061254/1, EP/G061254/2, EP/G013403/1,
   EP/H003630/1] Funding Source: UKRI
FX This analysis was made possible through a European Science Foundation
   funded COST Action network (TU0902): Integrated assessment technologies
   to support the sustainable development of urban areas. Richard Dawson is
   funded through an Engineering & Physical Sciences Research Council
   Fellowship (EP/H003630/1). Diana Reckien is funded by a fellowship of
   the German Research Foundation (RE 2927/2-1). We are grateful to the
   many UK council officers who provided time and information to help
   acquire the documents and data used here. We also like to thank Matt
   Wade and Christine Jeans for their help in illustrating parts of the
   data. We would like to thank the three anonymous reviewers for their
   insightful and constructive comments that have enhanced the
   understanding and quality of this paper.
CR Aberdeen City Council, 2002, CLIM CHANG ACT PLAN
   Aberdeen City Council and Carbon Trust, 2010, CARB MAN PLAN CMP 20
   Adaptation Sub-Committee, 2010, 1 AD SUBC COMM CLIM
   [Anonymous], 2010, CIT CLIM CHANG
   [Anonymous], 2009, PLANNING CLIMATE CHA
   [Anonymous], PITT REV LEARNING LE
   [Anonymous], 2010, Methodologies and Working papers iotasigmatau
   [Anonymous], LOC CLIM IMP PROF DO
   [Anonymous], **NON-TRADITIONAL**
   [Anonymous], 2012, NAT PLANN POL FRAM
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Birmingham City Council, 2010, CLIM CHANG ACT PLAN
   Blenkinsop S, 2007, J HYDROL, V342, P50, DOI 10.1016/j.jhydrol.2007.05.003
   Bristol City Council, 2010, CLIM CHANG EN SEC FR
   Bulkeley H, 2006, URBAN STUD, V43, P2237, DOI 10.1080/00420980600936491
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Cambridge City Council, 2009, CLIM CHANG RISK ASS
   Cardiff Council, 2009, SUST DEV ACT PROGR
   Cardiff Council, 2010, CARB LIT ACT PLAN
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Carter JG, 2011, CURR OPIN ENV SUST, V3, P193, DOI 10.1016/j.cosust.2010.12.015
   Cooper S, 2011, ACCOUNT AUDIT ACCOUN, V24, P1097, DOI 10.1108/09513571111184779
   Coventry City Council, 2008, CLIM CHANG STRAT COV
   Dawson R, 2007, PHILOS T R SOC A, V365, P3085, DOI 10.1098/rsta.2007.0008
   [DCLG Department for Communities and Local Government (DCLG)], 2007, PLANN POL STAT 1 P S
   [DEFRA Department for Environment Food and Rural Affairs (DEFRA)], 2010, AD CLIM CHANG GUID N
   Edinburgh City Council, 2007, CLIM CHANG FRAM
   Edinburgh City Council, 2011, SUST ED 2020 ENG OUR
   Edinburgh City Council Carbon Trust, 2008, CARB MAN PROGR, P51
   Glasgow City Council, 2010, CLIM CHANG STRAT ACT
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P1, DOI 10.1007/s10584-010-9981-8
   Hendriksen B, 2011, C40 CITIES CLIMATE L
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   ICLEI, 2008, 5 MIL PROC
   International Energy Agency I, 2008, WORLD EN OUTL 2008
   Johnstone K, 2011, CLIMATE CHANGE ADAPT
   Kent County Council, 2011, KENTS AD ACT PLAN 20
   Klein RJT, 2001, J COASTAL RES, V17, P531
   Leicester City Council, 2010, CLIM CHANG MIT ACT P
   Leicester City Council, 2011, CARB FOOTPR STAT 201
   Leicester City Council, 2010, LOC DEV FRAM COR STR
   Leicester City Council, 2010, CLIM CHANG AD ACT PL
   Lincoln City Council, 2005, CIT LINC CLIM CHANG
   London Climate Change Project, 2009, AD CLIM CHANG CREAT
   Mayor of London, 2011, MAN RISKS INCR RES M
   Mayor of London, 2011, DEL LOND EN FUT MAYO
   Ministere de l'Ecologie, 2012, GREN ENV
   Mortimer R, 2010, COMMUNICATION
   Newcastle Partnership, 2010, CIT CLIM CHANG STRAT
   Nottingham City Council, 2011, CLIM CHANG AD ACT PL
   Preston BL, 2011, MITIG ADAPT STRAT GL, V16, P407, DOI 10.1007/s11027-010-9270-x
   Ramaswami A, 2011, CARBON MANAG, V2, P359, DOI 10.4155/CMT.11.36
   Rosenzweig C, 2010, ANN NY ACAD SCI, V1196, P19, DOI 10.1111/j.1749-6632.2009.05308.x
   Rosenzweig C, 2010, CLIMATIC CHANGE, V100, P103, DOI 10.1007/s10584-010-9826-5
   Scottish Government, 2011, SCOTL CLIM CHANG DEC
   Sheffield First, 2007, ENV STRAT 2007
   South Staffordshire Council, 2008, CLIM CHANG STRAT
   Tang ZH, 2010, J ENVIRON PLANN MAN, V53, P41, DOI 10.1080/09640560903399772
   Welsh Local Government Association, 2008, WELSH DECL CLIM CHAN
   Wrexham County Borough Council, 2011, SUMM COUNC PLAN 2011
NR 62
TC 96
Z9 103
U1 4
U2 56
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0165-0009
J9 CLIMATIC CHANGE
JI Clim. Change
PD OCT
PY 2013
VL 120
IS 4
BP 771
EP 784
DI 10.1007/s10584-013-0846-9
PG 14
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 223SR
UT WOS:000324830500007
DA 2025-01-10
ER

PT J
AU Loyola, RD
   Lemes, P
   Nabout, JC
   Trindade, J
   Sagnori, MD
   Dobrovolski, R
   Diniz, JAF
AF Loyola, Rafael D.
   Lemes, Priscila
   Nabout, Joao Carlos
   Trindade-Filho, Joaquim
   Sagnori, Maira Dalia
   Dobrovolski, Ricardo
   Diniz-Filho, Jose Alexandre F.
TI A straightforward conceptual approach for evaluating spatial
   conservation priorities under climate change
SO BIODIVERSITY AND CONSERVATION
LA English
DT Article
DE Amphibians; Atlantic Forest Biodiversity Hotspot; Climate change
   adaptation; Ensemble forecasting; Ecological niche models; MARXAN;
   Species distribution models; Spatial conservation prioritization;
   Systematic conservation planning
ID SPECIES DISTRIBUTIONS; AMPHIBIAN DECLINES; RESERVE SELECTION;
   BIODIVERSITY; BIOGEOGRAPHY; EXTINCTIONS; POPULATION; ALGORITHMS; MODELS;
   AREAS
AB Despite wide evidence of a quickly changing world, systematic conservation planning analyses are usually static assuming that the biodiversity being preserved in sites do not change through time. Here we generated a comprehensive ensemble forecasting experiment for 444 amphibian species inhabiting the Atlantic Forest Biodiversity Hotspot. Models were based on four methods for modeling ecological niches, and three future climate simulations. Combinations of these models were used to estimate species occurrences. We used species occurrences to optimize the current and future representation of amphibians with different conservation targets based on their geographic range size. We compared spatial priority outcomes (variance of site selection frequency scores) under dynamic conditions, using a bi-dimensional plot in which the relative importance of each site in achieving conservation targets was assessed both for current time and to 2050. Projections for 2050 show that species richness pattern will remain approximately constant, whereas high turnover rates are forecasted. Selection frequency of several locations varied widely, with recurrent sites located at the north and southeast of the biome. As for 2050, spatial priorities concentrate in the northern part of the biome. Thirty-three sites have high priority for conservation as they play an important role now and will still stand as priority locations in 2050. We present a conceptual model for dynamic spatial conservation prioritization that helps to identify priority sites under climate change. We also call attention to sites in which risk of investment is high, and to those that may become interesting options in the future.
C1 [Loyola, Rafael D.; Sagnori, Maira Dalia; Diniz-Filho, Jose Alexandre F.] Univ Fed Goias, Dept Ecol, BR-74001970 Goiania, Go, Brazil.
   [Lemes, Priscila; Trindade-Filho, Joaquim; Dobrovolski, Ricardo] Univ Fed Goias, Programa Posgrad Ecol & Evolucao, Goiania, Go, Brazil.
   [Nabout, Joao Carlos] Univ Estadual Goias, Unidade Univ Anapolis UnUCET, Anapolis, Brazil.
C3 Universidade Federal de Goias; Universidade Federal de Goias;
   Universidade Estadual de Goias
RP Loyola, RD (corresponding author), Univ Fed Goias, Dept Ecol, CP 131, BR-74001970 Goiania, Go, Brazil.
EM rdiasloyola@gmail.com
RI Dobrovolski, Ricardo/B-2580-2013; Lemes, Priscila/I-5877-2013; Filho,
   Joaquim/AAP-1545-2021; Loyola, Rafael/S-3978-2019; Loyola,
   Rafael/A-4425-2008; Diniz-Filho, Jose Alexandre/D-9405-2013; Nabout,
   Joao/I-2828-2014
OI TRINDADE FILHO, JOAQUIM/0000-0001-5429-3193; Loyola,
   Rafael/0000-0001-5323-2735; Dobrovolski, Ricardo/0000-0002-8775-5486;
   Diniz-Filho, Jose Alexandre/0000-0002-0967-9684; Nabout,
   Joao/0000-0001-9102-3627
FU CNPq [151531/2009-9]; CAPES; CAPES-FCT Program; Brazilian Research
   Network on Global Climate Change (Rede-CLIMA); Conservation
   International Brazil
FX R.D.L. and J.A.F.D-F received a research productivity scholarship from
   CNPq. J.T-F is supported by a CAPES master scholarship. J.C.N. research
   was supported by CNPq (Post-Doc scholarship #151531/2009-9), M. D. S.
   was supported by a CNPq scholarship. Work by P. L. and R. D. was
   supported by CNPq doctoral scholarships. R. D. L. and J.A.F.D.F. work is
   also funded by CAPES-FCT Program, the Brazilian Research Network on
   Global Climate Change (Rede-CLIMA), and Conservation International
   Brazil.
CR Allouche O, 2006, J APPL ECOL, V43, P1223, DOI 10.1111/j.1365-2664.2006.01214.x
   [Anonymous], **NON-TRADITIONAL**
   [Anonymous], DAT STAND WORLD DAT
   Araujo M.B., 2009, Spatial conservation prioritization: Quantitative methods and computational tools, P172
   Araújo MB, 2007, TRENDS ECOL EVOL, V22, P42, DOI 10.1016/j.tree.2006.09.010
   Araújo MB, 2006, SCIENCE, V313, P1396, DOI 10.1126/science.1131758
   Becker CG, 2010, DIVERS DISTRIB, V16, P10, DOI 10.1111/j.1472-4642.2009.00625.x
   Becker CG, 2008, BIODIVERS CONSERV, V17, P2297, DOI 10.1007/s10531-007-9298-8
   Becker CG, 2007, SCIENCE, V318, P1775, DOI 10.1126/science.1149374
   Brito D, 2009, OECOLOGIA BRASILIENS, V13, P450
   Bush Mark B., 2005, P125
   Carey C, 2003, DIVERS DISTRIB, V9, P111, DOI 10.1046/j.1472-4642.2003.00011.x
   Carnaval AC, 2009, SCIENCE, V323, P785, DOI 10.1126/science.1166955
   Carroll C, 2003, ECOL APPL, V13, P1773, DOI 10.1890/02-5195
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   de Souza TV, 2011, NAT CONSERVACAO, V9, P214, DOI 10.4322/natcon.2011.028
   Diniz JAF, 2010, INSECT CONSERV DIVER, V3, P213, DOI 10.1111/j.1752-4598.2010.00090.x
   Diniz JAF, 2009, ECOGRAPHY, V32, P897, DOI 10.1111/j.1600-0587.2009.06196.x
   Elith J, 2006, ECOGRAPHY, V29, P129, DOI 10.1111/j.2006.0906-7590.04596.x
   Faleiro FV, 2013, BIOL CONSERV, V158, P248, DOI 10.1016/j.biocon.2012.09.020
   Diniz JAF, 2009, NAT CONSERVACAO, V7, P100
   Franklin J., 2009, Mapping species distributions - spatial inference and prediction
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Gudynas E., 1988, ZOOLOGISCHE MEDEDELI, V62, P5
   Kerr JT, 2007, SCIENCE, V316, P1581, DOI 10.1126/science.1133267
   Lawler JJ, 2009, ECOLOGY, V90, P588, DOI 10.1890/08-0823.1
   Lips KR, 2008, PLOS BIOL, V6, P441, DOI 10.1371/journal.pbio.0060072
   Loucks C, 2008, J BIOGEOGR, V35, P1337, DOI 10.1111/j.1365-2699.2008.01899.x
   Lourival R, 2011, DIVERS DISTRIB, V17, P297, DOI 10.1111/j.1472-4642.2010.00722.x
   Loyola Rafael D., 2012, Alytes (Paris), V29, P61
   Loyola RD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0046257
   Loyola RD, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002120
   Loyola RD, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006807
   Loyola RD, 2011, NAT CONSERVACAO, V9, P1, DOI 10.4322/natcon.2011.001
   Machado RA, 2001, HERPETOL REV, V32, P113
   Marmion M, 2009, DIVERS DISTRIB, V15, P59, DOI 10.1111/j.1472-4642.2008.00491.x
   Moilanen A., 2009, Spatial conservation prioritization: Quantitative methods and computational tools, P196
   Morellato LPC, 2000, BIOTROPICA, V32, P786, DOI 10.1646/0006-3606(2000)032[0786:ITBAF]2.0.CO;2
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nori J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025718
   Pearson RG, 2003, GLOBAL ECOL BIOGEOGR, V12, P361, DOI 10.1046/j.1466-822X.2003.00042.x
   Peterson AT, 2007, ECOGRAPHY, V30, P550, DOI 10.1111/j.2007.0906-7590.05102.x
   Phillips SJ, 2008, ECOGRAPHY, V31, P161, DOI 10.1111/j.0906-7590.2008.5203.x
   Pinto MP, 2009, BIODIVERS CONSERV, V18, P957, DOI 10.1007/s10531-008-9513-2
   Possingham H.P., 2009, Spatial Conservation Prioritization: Quantitative Methods and Computational Tools, P135
   Possingham Hugh, 2000, P291, DOI 10.1007/0-387-22648-6_17
   Pounds JA, 2006, NATURE, V439, P161, DOI 10.1038/nature04246
   Pressey RL, 1997, BIOL CONSERV, V80, P207, DOI 10.1016/S0006-3207(96)00045-6
   Rodrigues ASL, 2004, BIOSCIENCE, V54, P1092, DOI 10.1641/0006-3568(2004)054[1092:GGAPRF]2.0.CO;2
   Rodrigues RR, 2009, BIOL CONSERV, V142, P1242, DOI 10.1016/j.biocon.2008.12.008
   Rolim Daniel Contieri, 2008, Check List, V4, P358
   Roura-Pascual N, 2009, BIOL INVASIONS, V11, P1017, DOI 10.1007/s10530-008-9313-3
   Salazar LF, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL029695
   Sarkar S, 2010, NAT CONSERVACAO, V8, P19, DOI 10.4322/natcon.00801003
   Stuart S.N., 2008, THREATENED AMPHIBIAN
   Stuart SN, 2004, SCIENCE, V306, P1783, DOI 10.1126/science.1103538
   Thuiller W, 2005, GLOBAL ECOL BIOGEOGR, V14, P347, DOI 10.1111/j.1466-822x.2005.00162.x
   Thuiller W, 2007, NATURE, V448, P550, DOI 10.1038/448550a
   Trindade J, 2012, BIODIVERS CONSERV, V21, P2709, DOI 10.1007/s10531-012-0326-y
   Tsoar A, 2007, DIVERS DISTRIB, V13, P397, DOI 10.1111/j.1472-4642.2007.00346.x
   Whittaker RJ, 2005, DIVERS DISTRIB, V11, P3, DOI 10.1111/j.1366-9516.2005.00143.x
NR 61
TC 54
Z9 60
U1 1
U2 161
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0960-3115
EI 1572-9710
J9 BIODIVERS CONSERV
JI Biodivers. Conserv.
PD FEB
PY 2013
VL 22
IS 2
BP 483
EP 495
DI 10.1007/s10531-012-0424-x
PG 13
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 074DH
UT WOS:000313792200011
DA 2025-01-10
ER

PT C
AU Evans, JP
   Fita, L
   Argüeso, D
   Liu, Y
AF Evans, J. P.
   Fita, L.
   Argueeso, D.
   Liu, Y.
BE Piantadosi, J
   Anderssen, RS
   Boland, J
TI Initial NARCliM Evaluation
SO 20TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2013)
LA English
DT Proceedings Paper
CT 20th International Congress on Modelling and Simulation (MODSIM)
CY DEC 01-06, 2013
CL Adelaide, AUSTRALIA
SP CSIRO, Univ S Australia, Ctr Ind & Appl Math, Australian Govt, Bur Meteorol, GOYDER Inst, Govt S Australia, Australian Math Soc, Australian Math Sci Inst, Simulat Australia, Australian & New Zealand Ind & Appl Math
DE Regional climate; Australia; model; WRF
ID REGIONAL CLIMATE MODEL; MIDDLE-EAST; PRECIPITATION; PROJECTIONS;
   VARIABILITY; UNCERTAINTY; MECHANISMS; SIMULATION; RESOLUTION; EUROPE
AB NARCliM (NSW/ACT Regional Climate Modelling project) is a regional climate modeling project for the Australian area. It will provide a comprehensive dynamically downscaled climate dataset for the CORDEX-AustralAsia region at 50km, and South-East Australia at a resolution of 10km. NARCliM data will be used by the NSW and ACT governments to design their climate change adaptation plans.
   NARCliM uses WRFv3.3 regional climate model (RCM) to perform an ensemble of simulations for the present and the projected future climate. WRF is run in three different model configurations (different combinations of physical parametrizations) that have been shown to perform well in the South-East Australia and were chosen based on performance and independence. These three RCMs are simulating three different periods: 1990-2009, 2020-2040 and 2060-2080. Four different GCMs (MIROC-medres 3.2, ECHAM5, CGCM 3.1 and CSIRO mk3.0) from CMIP3 will be used as initial and boundary conditions for the WRF simulations. These GCMs were chosen through a process that considered model performance, independence and projected future changes. Thus an ENSEMBLE of 12 simulations for each period will be obtained. Additionally to the GCM-driven simulations, 3 control run simulations driven by the NCEP/NCAR reanalysis for the entire period of 1950-2009 are also performed in order to validate the RCMs performance in the area. In this talk, we will present the initial evaluation results of the long control period simulations of the project. This includes an analysis of the models ability to capture the influence of large scale oceanic modes on the regional climate.
C1 [Evans, J. P.; Fita, L.; Argueeso, D.; Liu, Y.] Univ New S Wales, Climate Change Res Ctr, Sydney, NSW, Australia.
   [Evans, J. P.; Fita, L.; Argueeso, D.; Liu, Y.] Univ New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia.
C3 University of New South Wales Sydney; ARC Centre of Excellence for
   Climate System Science; University of New South Wales Sydney
RP Evans, JP (corresponding author), Univ New S Wales, Climate Change Res Ctr, Sydney, NSW, Australia.
EM jason.evans@unsw.edu.au
RI Argüeso, Daniel/G-1970-2012; Evans, Jason/F-3716-2011
CR [Anonymous], 2009, Eos, Transactions American Geophysical Union, DOI [DOI 10.1029/2009EO360002, 10.1175/BAMS-D-11-00223.1]
   [Anonymous], THEORETICAL APPL CLI
   [Anonymous], 2009, EMSEMBLES CLIMATE CH
   Argueso D, 2012, J CLIMATE, V25, P4883, DOI 10.1175/JCLI-D-11-00276.1
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   De Szoeke SP, 2008, J CLIMATE, V21, P2573, DOI 10.1175/2007JCLI1975.1
   Déqué M, 2005, CLIM DYNAM, V25, P653, DOI 10.1007/s00382-005-0052-1
   Déqué M, 2010, CLIM RES, V44, P195, DOI 10.3354/cr00866
   Diffenbaugh NS, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035075
   Evans JP, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD013816
   Evans JP, 2013, CLIM RES, V56, P131, DOI 10.3354/cr01151
   Evans JP, 2012, J CLIMATE, V25, P7232, DOI 10.1175/JCLI-D-11-00616.1
   Evans JP, 2012, CLIM DYNAM, V39, P1241, DOI 10.1007/s00382-011-1244-5
   Evans JP, 2011, INT J CLIMATOL, V31, P1758, DOI 10.1002/joc.2206
   Evans JP, 2010, THEOR APPL CLIMATOL, V99, P389, DOI 10.1007/s00704-009-0151-8
   Evans JP, 2009, CLIMATIC CHANGE, V92, P417, DOI 10.1007/s10584-008-9438-5
   Evans JP, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005046
   Evans JP, 2004, INT J CLIMATOL, V24, P1671, DOI 10.1002/joc.1084
   Foley AM, 2010, PROG PHYS GEOG, V34, P647, DOI 10.1177/0309133310375654
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Jones DA, 2009, AUST METEOROL OCEAN, V58, P233, DOI 10.22499/2.5804.003
   Kendon EJ, 2010, J CLIMATE, V23, P6485, DOI 10.1175/2010JCLI3502.1
   Kostopoulou E, 2009, TELLUS A, V61, P357, DOI 10.1111/j.1600-0870.2009.00389.x
   Mariotti A, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/044001
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Rummukainen M, 2001, CLIM DYNAM, V17, P339, DOI 10.1007/s003820000109
   Salon S, 2008, CLIM RES, V38, P31, DOI 10.3354/cr00757
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Tebaldi C, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2004GL021276
   Tebaldi C, 2005, J CLIMATE, V18, P1524, DOI 10.1175/JCLI3363.1
   Vavrus S, 2009, CLIM DYNAM, V33, P1099, DOI 10.1007/s00382-008-0475-6
   Zaitchik BF, 2007, J CLIMATE, V20, P3924, DOI 10.1175/JCLI4223.1
   Zaitchik BF, 2007, J CLIMATE, V20, P4133, DOI 10.1175/JCLI4248.1
NR 33
TC 9
Z9 9
U1 0
U2 0
PU MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC
PI CHRISTCHURCH
PA MSSANZ, CHRISTCHURCH, 00000, NEW ZEALAND
BN 978-0-9872143-3-1
PY 2013
BP 2765
EP 2771
PG 7
WC Computer Science, Interdisciplinary Applications; Operations Research &
   Management Science; Mathematics, Interdisciplinary Applications
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Computer Science; Operations Research & Management Science; Mathematics
GA BD0EH
UT WOS:000357105902115
DA 2025-01-10
ER

PT J
AU Brown, I
   Towers, W
   Rivington, M
   Black, HIJ
AF Brown, Iain
   Towers, Willie
   Rivington, Mike
   Black, Helaina I. J.
TI Influence of climate change on agricultural land-use potential: adapting
   and updating the land capability system for Scotland
SO CLIMATE RESEARCH
LA English
DT Article
DE Land capability; Land suitability; Agriculture; Climate change; Soil
   moisture; Accumulated temperature; Land-use change
ID WEATHER GENERATOR; SOIL; EVAPORATION; RAINFALL
AB Land capability systems have been designed to evaluate and communicate biophysical constraints on land use, including climatic limitations. By grading land quality, the resulting information is particularly relevant for planners and managers, and for land valuation. Higher-grade land is more flexible and has more options for land Use. Using Scotland as a case study, a widely-Used land capability system was adapted to investigate the influence of recent and future climate change on land-use potential. The adapted method was applied to both interpolated gridded weather station data and to future climate change scenarios derived from the HadRM3 climate model. At a national scale, differing regional patterns of land capability were recognised, with changes in these patterns occurring in recent decades and projected to occur on a more substantial scale into the future. In general, climate change is acting to enhance land-use potential in Scotland, mainly in the drier east, while the west remains constrained by its wetter climate. These results demonstrate the key control directed by soil moisture values on land-use options, in addition to temperature change. Shifts in land-use potential have implications for both strategic resource planning and for developing anticipatory climate change adaptation actions. The land capability assessment highlights not. only potential changes in agriculture and other productive land uses, but also repercussions for biodiversity and terrestrial carbon stocks. Various amendments are suggested to the land capability procedures to reflect existing or emerging climate-related issues that were not considered necessary in the original system, notably excessive soil moisture deficits.
C1 [Brown, Iain; Towers, Willie; Rivington, Mike; Black, Helaina I. J.] Macaulay Inst, Aberdeen AB15 8QH, Scotland.
C3 James Hutton Institute
RP Brown, I (corresponding author), Macaulay Inst, Aberdeen AB15 8QH, Scotland.
EM i.brown@macaulay.ac.uk
RI black, helaina/HHM-9892-2022; Brown, Iain/M-7580-2017
OI Brown, Iain/0000-0002-3469-5598
FU Scottish Government's Rural and Environment Research and Analysis
   Directorate (RERAD)
FX Funding was Provided by the Environment-Land Use and Rural Stewardship
   research Programme of the Scottish Government's Rural and Environment
   Research and Analysis Directorate (RERAD). The UKMO/UKCIP climate
   datasets were Provided under licence by Defra through the UK Climate
   Impacts Programme. Advice and comments were provided by Prof. S. Albon,
   Dr. K. Matthews, Dr. C. Campbell and Mr. G. Hudson.
CR Allen RG., 1994, ICID Bull, V43, P1, DOI DOI 10.12691/AJWR-5-4-3
   ALLEN RG, 1994, ICID B, V43, P34
   Angstrom A., 1920, Geografiska Annaler, V2, P237, DOI 10.1080/20014422.1920.11880772
   [Anonymous], 2005, Ecosystems and Human Well being synthesis
   [Anonymous], 2007, Land and Water Discussion Paper 6
   [Anonymous], 2002, CLIMATE CHANGE SCENA
   [Anonymous], 2006, HDB CLIMATE TRENDS S
   Betts RA, 2007, NATURE, V448, P1037, DOI 10.1038/nature06045
   Bibby J.S., 1982, LAND CAPABILITY CLAS
   Bibby J. S., 1969, TECHNICAL MONOGRAPH, V1
   BIRSE EL, 1970, ASSESSMENT CLIMATIC, V1
   Blenkinsop S, 2007, INT J CLIMATOL, V27, P1595, DOI 10.1002/joc.1538
   Brabson BB, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2004JD005156
   Brunt D, 1932, Q J ROY METEOR SOC, V58, P389, DOI 10.1002/qj.49705824704
   Cornwell AR, 2007, CLIMATIC CHANGE, V84, P313, DOI 10.1007/s10584-007-9273-0
   Ekström M, 2007, HYDROL EARTH SYST SC, V11, P1069, DOI 10.5194/hess-11-1069-2007
   FAO, 1993, FAO DEV SER, VI
   FRANCIS PE, 1981, CLIM MEM UK MET OFFI, V108
   Hough MN, 1997, HYDROL EARTH SYST SC, V1, P227, DOI 10.5194/hess-1-227-1997
   Hudson G, 2000, AGR FOREST METEOROL, V101, P203, DOI 10.1016/S0168-1923(99)00158-6
   *IPCC, 2000, 3 IPCC
   Jones PD, 2004, INT J CLIMATOL, V24, P569, DOI 10.1002/joc.1017
   Kilsby CG, 2007, ENVIRON MODELL SOFTW, V22, P1705, DOI 10.1016/j.envsoft.2007.02.005
   KLINGEBIEL A.A., 1961, AGR HDB USDA
   LILLY A, 1994, GEOFORUM, V25, P371, DOI 10.1016/0016-7185(94)90037-X
   Malby AR, 2007, HYDROLOG SCI J, V52, P276, DOI 10.1623/hysj.52.2.276
   *MLURI, 1993, LAND COV SCOTL
   PENMAN HL, 1948, PROC R SOC LON SER-A, V193, P120, DOI 10.1098/rspa.1948.0037
   Perry M, 2005, INT J CLIMATOL, V25, P1023, DOI 10.1002/joc.1160
   Perry M, 2005, INT J CLIMATOL, V25, P1041, DOI 10.1002/joc.1161
   Prescott J.A., 1940, T FROYAL SOC, V64, P114, DOI DOI 10.1155/2013/168048
   Reid S., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P609, DOI 10.1007/s11027-006-9051-8
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Rivington M, 2008, CLIMATIC CHANGE, V88, P157, DOI 10.1007/s10584-007-9382-9
   Rivington M, 2008, CLIM RES, V35, P181, DOI 10.3354/cr00705
   Rossiter DG, 1996, GEODERMA, V72, P165, DOI 10.1016/0016-7061(96)00031-6
   Rowell DP, 2006, CLIM DYNAM, V27, P281, DOI 10.1007/s00382-006-0125-9
   *SCOTT DEV DEP, 1987, NAT PLANN GUID 1987
   SEMENOV MA, 1995, AGR FOREST METEOROL, V73, P265, DOI 10.1016/0168-1923(94)05078-K
   Semenov MA, 1999, CLIMATE RES, V11, P137, DOI 10.3354/cr011137
   Smit B., 2002, Mitigation and Adaptation Strategies for Global Change, V7, P85, DOI 10.1023/A:1015862228270
   Smith P., 2007, ECOSSE - Estimating carbon in organic rich soils sequestration and emissions
   Stone R. C., 2006, Meteorological Applications, V13, P7, DOI 10.1017/S1350482706002519
   THOMPSON N, 1981, HYDROL MEMO MET OFF, V45
NR 44
TC 54
Z9 57
U1 1
U2 52
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 AUG 7
PY 2008
VL 37
IS 1
BP 43
EP 57
DI 10.3354/cr00753
PG 15
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 365LG
UT WOS:000260407300005
OA Bronze
DA 2025-01-10
ER

PT J
AU Parks, M
   Roesch-McNally, G
   Garrett, A
AF Parks, Melissa
   Roesch-McNally, Gabrielle
   Garrett, Amy
TI Bridging scientific and experiential knowledges via participatory
   climate adaptation research: A case study of dry farmers in Oregon
SO JOURNAL OF AGRICULTURE FOOD SYSTEMS AND COMMUNITY DEVELOPMENT
LA English
DT Article
DE Dry Farming; Participatory Research; Climate Adaptation; Small Farmers
ID SCIENCE; SYSTEMS
AB In western Oregon's Willamette Valley, small fruit and vegetable growers have traditionally relied on irrigation to produce their crops. However, they are increasingly experiencing issues with water availability and access due to precipitation pattern changes associated with climate change. In 2016, the Dry Farming Collaborative (DFC) was developed as a participatory model for facilitating research, social networks, and resource-sharing among agricultural stakeholders to test the efficacy of dry farming as an adaptation strategy. Dry farming differs from irrigated cropping systems in that growers do not irrigate their fields and instead utilize a suite of practices to conserve soil moisture from winter rains for summer crop growth. To better understand how to meaningfully engage stake-holders in participatory climate adaptation research, this study explored how the participatory process facilitated the adoption of dry farming as a climate adaptation strategy among participants. Drawing on interviews with 20 DFC participants, including farmers, gardeners, and researchers, results indicate that the integration and use of different knowledge systems within the participatory research process made it easier for participants to integrate dry farming into their operational contexts. Processes designed to encourage interactions and information-sharing between participants and nonhierarchical researcher-grower relationships facilitated the exchange of these knowledge systems among participants, thus providing them with the trusted and salient information they needed to adopt new practices. Results indicate that these features could be useful for enacting future participatory climate research projects that lead to the adoption of effective adaptation strategies.
C1 [Parks, Melissa] Oregon State Univ, 2250 SW Jefferson Way Waldo 126, Corvallis, OR 97331 USA.
   [Roesch-McNally, Gabrielle] USDA, Northwest Climate Hub, Corvallis, OR USA.
   [Roesch-McNally, Gabrielle] Amer Farmland Trust, Women Land Initiat, Washington, DC USA.
   [Garrett, Amy] Oregon State Univ Extens Serv, Small Farms Program, Corvallis, OR USA.
C3 Oregon State University; United States Department of Agriculture (USDA);
   Oregon State University
RP Parks, M (corresponding author), Oregon State Univ, 2250 SW Jefferson Way Waldo 126, Corvallis, OR 97331 USA.
EM parksinel@oregonstate.edu; groeschracnally@farmland.org;
   amy.garrett@oregonstate.edu
OI Parks, Melissa/0000-0002-9959-7606
FU U.S. Department of Agriculture Northwest Climate Hub grant
   [17-JV-11261944-072]
FX This study was funded by the U.S. Department of Agriculture Northwest
   Climate Hub grant #17-JV-11261944-072.
CR AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Alexandratos N., 2012, World Agriculture Towards 2030 / 2050 The 2012 Revision PROOF COPY, V12, P146
   Allen BL, 2018, SCI TECHNOL HUM VAL, V43, P947, DOI 10.1177/0162243918758380
   [Anonymous], 2005, Brokerage and closure: An introduction to social capital
   Ballard HL, 2010, ENVIRON EDUC RES, V16, P611, DOI 10.1080/13504622.2010.505440
   Bartels WL, 2013, REG ENVIRON CHANGE, V13, pS45, DOI 10.1007/s10113-012-0371-9
   Bell M., 2004, FARMING US ALL PRACT
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Carolan MS, 2006, AGR HUM VALUES, V23, P325, DOI 10.1007/s10460-006-9006-4
   Carolan MS, 2006, RURAL SOCIOL, V71, P232, DOI 10.1526/003601106777789756
   Carolan MS, 2009, ENVIRON POLIT, V18, P1, DOI 10.1080/09644010802622748
   Finucane M.L., 2009, WHY SCI ALONE WONT S
   Garrett A., 2019, DRY FARMING MARITIME
   Hoppe R. A., 2018, AM DIVERSE FAMILY FA
   Ingram J, 2016, J RURAL STUD, V48, P115, DOI 10.1016/j.jrurstud.2016.10.005
   Jackson-Smith D, 2018, J SOIL WATER CONSERV, V73, P610, DOI 10.2489/jswc.73.6.610
   Kerr RB, 2018, RENEW AGR FOOD SYST, V33, P238, DOI 10.1017/S1742170518000017
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Li M, 2019, AM J AGR ECON, V101, P134, DOI 10.1093/ajae/aay058
   May C., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment vol, V2, P1036, DOI DOI 10.7930/NCA4.2018.CH24
   Nabhan G., 2013, Growing food in a hotter, drier land
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Roncoli C, 2006, CLIM RES, V33, P81, DOI 10.3354/cr033081
   Schlarb K., 2020, MAKING SENSE TIMBER
   Smith BM, 2017, BIOL CONSERV, V211, P20, DOI 10.1016/j.biocon.2017.04.032
   Sumane S, 2018, J RURAL STUD, V59, P232, DOI 10.1016/j.jrurstud.2017.01.020
   Taylor G.H., 1999, CLIMATE OREGON RAIN
   Watts N, 2015, GEOGR COMPASS, V9, P225, DOI 10.1111/gec3.12212
   Wilke AK, 2017, CLIM RISK MANAG, V15, P32, DOI 10.1016/j.crm.2016.10.001
   Wilmer H, 2018, RANGELAND ECOL MANAG, V71, P646, DOI 10.1016/j.rama.2017.07.008
   Wood BA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105203
   Yorgey GG, 2017, FRONT ENV SCI-SWITZ, V5, DOI 10.3389/fenvs.2017.00052
NR 33
TC 5
Z9 8
U1 2
U2 14
PU LYSON CENTER CIVIC AGRICULTURE & FOOD SYSTEMS
PI ITHACA
PA 295 HOOK PL, ITHACA, NY 14850 USA
SN 2152-0798
EI 2152-0801
J9 J AGRIC FOOD SYST CO
JI J. Agric. Food Syst. Community Dev.
PD SPR
PY 2021
VL 10
IS 3
BP 187
EP 203
DI 10.5304/jafscd.2021.103.015
PG 17
WC Agricultural Economics & Policy; Development Studies
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Development Studies
GA UC4BL
UT WOS:000686472900014
OA gold
DA 2025-01-10
ER

PT J
AU Ekstrom, JA
   Bedsworth, L
AF Ekstrom, Julia A.
   Bedsworth, Louise
TI Adapting air quality management for a changing climate: Survey of local
   districts in California
SO JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION
LA English
DT Article
ID CHANGE ADAPTATION; OVERCOMING BARRIERS; HEALTH; POLICY; POLLUTION;
   MORTALITY; IMPACTS; LEVEL
AB Air quality can be affected by weather and thus is sensitive to a changing climate. Wildfire (influenced by weather), consecutive high temperature summer days, and other extreme events are projected to become more severe and frequent with climate change. These may create challenging conditions for managing air quality despite policy targets to reduce precursor and pollutant emissions. Although extreme events are becoming more intense and interest in climate adaptation is increasing among public health practitioners, little attention in scholarly literature and policy covers climate adaptation for air quality governance. Understanding the management and managers' perspectives at the local level provides insight about the needs for climate adaptation, including their adaptation status, perspectives, responsibilities, and roles. This study explores local manager perspectives and experiences of managing air quality within a changing climate as one puzzle piece to understand the gap in climate adaptation within the air quality sector. A broader goal is to contribute to the discussion of developing a multi-jurisdictional vision for reducing the impacts of air quality in a changing climate. In 2016 local air quality district managers in California were invited to participate in an online survey of 39 questions focused on extreme event impacts on air quality. The questionnaire focused on present air quality threats and extreme event challenges, adaptation status and strategies, adaptive capacities, perceived barriers to adaptation, and jurisdictional responsibilities and roles. Over 85 percent of the 35 local air districts in California participated in the survey, which represents 80 percent of the state's population. High awareness and knowledge of climate change among local managers indicates they are ready to adopt and take action on policies that would support climate adaptation, but barriers reported suggests they may need policies and adequate funding to take action and make necessary changes.Implications: Downscaled global climate models project an increasing severity and frequency of extreme events. In the southwestern United States, these include wildfire, heat events, and dry periods, among others, all of which can place an extra burden on air quality managers and emitters to achieve air quality standards even as they reduce emissions. Despite climate change presenting increasing challenges to meet air quality standards, in the southwestern United States, policy and action to mitigate these impacts have been surprisingly absent. California presents a valuable case study on the topic because of its historic leadership in air quality management for the United States and also because of its initiatives in combating climate change. Yet still we found that adaptation has not been incorporated into air quality management thus far, but local managers seem sufficiently knowledgeable and willing.
C1 [Ekstrom, Julia A.; Bedsworth, Louise] Univ Calif Davis, Policy Inst Energy Environm & Econ, One Shields Ave, Davis, CA 95616 USA.
   [Bedsworth, Louise] State Calif, Governors Off Planning & Res, Sacramento, CA USA.
C3 University of California System; University of California Davis
RP Ekstrom, JA (corresponding author), Univ Calif Davis, Policy Inst Energy Environm & Econ, One Shields Ave, Davis, CA 95616 USA.
EM jaekstrom@gmail.com
OI Ekstrom, Julia/0000-0003-1060-5276; Bedsworth,
   Louise/0009-0002-7310-3548
FU U.S. EPA grant [RD835194010]
FX Financial support for this research was provided by U.S. EPA grant
   RD835194010. Its contents are solely the responsibility of the grantee
   and do not necessarily represent the official views of the EPA. Further,
   the EPA does not endorse the purchase of any commercial products or
   services mentioned in the publication. All opinions expressed are those
   of the authors and do not represent the views of their affiliated
   institutions, including the State of California and the University of
   California, Davis. The authors declare they have no actual or potential
   competing financial interests.
CR American Lung Association (ALA), 2017, STAT AIR 2017
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], AM CLIM CHOIC AD IMP
   [Anonymous], 2009, CEC5002009020F
   Araos M, 2016, INT J HEALTH SERV, V46, P53, DOI 10.1177/0020731415621458
   Armitage D., 2007, International Journal of the Commons, V2, P7
   Bachmann J, 2007, J AIR WASTE MANAGE, V57, P652, DOI 10.3155/1047-3289.57.6.652
   Bedsworth L, 2009, ENVIRON HEALTH PERSP, V117, P617, DOI 10.1289/ehp.0800114
   Bedsworth LW, 2010, J AM PLANN ASSOC, V76, P477, DOI 10.1080/01944363.2010.502047
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Christian-Smith J., 2014, SUSTAIN SCI, V10, P491, DOI [DOI 10.1007/S11625-014-0269-1, 10.1007/s11625-014-0269-1, DOI 10.1007/s11625-014-0269-1]
   Dawson JP, 2014, B AM METEOROL SOC, V95, P520, DOI 10.1175/BAMS-D-12-00181.1
   Dilling L, 2017, ENVIRON PLANN A, V49, P2628, DOI 10.1177/0308518X16688686
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Ekstrom JA, 2017, CLIMATIC CHANGE, V140, P467, DOI 10.1007/s10584-016-1870-3
   Fang Y, 2013, ATMOS CHEM PHYS, V13, P1377, DOI 10.5194/acp-13-1377-2013
   Fann N., 2016, HUMAN HEALTH THE IMPACTS OF CLIMATE CHANGE ON, P69, DOI DOI 10.7930/J0GQ6VP6
   Fann N, 2015, J AIR WASTE MANAGE, V65, P570, DOI 10.1080/10962247.2014.996270
   Finzi-Hart J. A., 2012, 012012 USC
   Fiore AM, 2015, J AIR WASTE MANAGE, V65, P645, DOI 10.1080/10962247.2015.1040526
   Fischer EM, 2015, NAT CLIM CHANGE, V5, P560, DOI 10.1038/nclimate2617
   Gergel DR, 2017, CLIMATIC CHANGE, V141, P287, DOI 10.1007/s10584-017-1899-y
   Hosking J, 2012, ENVIRON HEALTH PERSP, V120, P1076, DOI 10.1289/ehp.1104093
   Jacob DJ, 2009, ATMOS ENVIRON, V43, P51, DOI 10.1016/j.atmosenv.2008.09.051
   Kinney PL, 2018, CURR ENV HLTH REP, V5, P179, DOI 10.1007/s40572-018-0188-x
   Mahmud A, 2012, ATMOS CHEM PHYS, V12, P7453, DOI 10.5194/acp-12-7453-2012
   Mastrandrea MD, 2010, CLIMATIC CHANGE, V100, P87, DOI 10.1007/s10584-010-9827-4
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mickley L.J., 2007, ENV SCI POLICY SUSTA, V49, P32
   Moser SC, 2015, URBAN CLIM, V14, P111, DOI 10.1016/j.uclim.2015.06.006
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   [Pachauri RK. IPCC IPCC], 2014, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, P117
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Radhakrishnan M, 2017, WATER-SUI, V9, DOI 10.3390/w9020129
   Rasmussen DJ, 2013, ENVIRON SCI TECHNOL, V47, P14258, DOI 10.1021/es403446m
   Silva RA, 2017, NAT CLIM CHANGE, V7, P647, DOI [10.1038/nclimate3354, 10.1038/NCLIMATE3354]
   Silva RA, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034005
   Stakhiv E., 1993, EVALUATION IPCC ADAP
   Tai P.T., 2012, THESIS
   Timberlake TJ, 2017, CLIMATIC CHANGE, V144, P257, DOI 10.1007/s10584-017-2031-z
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   US Environmental Protection Agency (EPA), 2018, AIR QUAL IND BAS
   US Environmental Protection Agency (EPA), 2017, NON AR CRIT POLL GRE
   Verner G, 2016, GLOBAL HEALTH ACTION, V9, DOI 10.3402/gha.v9.30723
   Westerling AL, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0178
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Young O.R., 2002, I DIMENSIONS ENV CHA, DOI DOI 10.7551/MITPRESS/3807.001.0001
   Young OranR., 2001, ENVIRON POLIT, V1, P99, DOI DOI 10.1162/152638001570651
NR 52
TC 0
Z9 1
U1 0
U2 9
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 1096-2247
EI 2162-2906
J9 J AIR WASTE MANAGE
JI J. Air Waste Manage. Assoc.
PY 2018
VL 68
IS 9
BP 931
EP 944
DI 10.1080/10962247.2018.1459325
PG 14
WC Engineering, Environmental; Environmental Sciences; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Environmental Sciences & Ecology; Meteorology & Atmospheric
   Sciences
GA GQ5OJ
UT WOS:000441735100005
PM 29667521
OA Bronze
DA 2025-01-10
ER

PT J
AU Gong, R
   Gong, HD
AF Gong, Rui
   Gong, He-de
TI Interspecific association of herbaceous plant communities on different
   slope orientations and at different altitudes in central Yunnan
   grasslands
SO FRONTIERS IN PLANT SCIENCE
LA English
DT Article
DE interspecific association; slope aspect; altitude; chi(2)-test; rank
   correlation analysis
AB Aims Understanding the response of herbaceous plants to habitat changes and the mechanisms of vegetation succession is crucial to the theoretical foundation of the conservation of local vegetation. Methods Plots were established at elevations of 1900-2200m, 2200-2500m, and 2500-2800m on both shady and sunny slopes. Four statistical methods 2x2 contingency table chi 2-test, Spearman's rank correlation coefficient, AC joint coefficient, 17 and Ochiai Index, were employed to analyze the species composition and interspecific associations within each elevation band and aspect. Important findings (1) the number of herbaceous plant species was greater on the sunny slope than on the shady slope; the number of species was higher in the2 elevation bands of 1900-2200m and 2200-2500m than in 2500-2800m. (2) Both AC joint coefficient and Ochiai Index revealed that the interspecific connectivity increased as elevation increased on the shady slope, although the highest interspecific connectivity was observed in the 2200-2500m elevation rather than other two elevations on the sunny slope. (3) Negative associations among species pairs were more prevalent than positive associations on both the shady and sunny slopes at all elevations,indicating a high level of negative interspecific associations and connectivity. (4) chi 2-test values and Spearman rank correlation analysis indicated that it was a relatively unstable community.However, an overall more stable community on the shady slope.The influence of altitude and slope orientation on interspecific associations has wide applications in multiple fields. By deeply understanding the role of these environmental factors, scientists, agricultural workers, forestry managers, and protectors can better carry out work in resource management, species conservation, climate change adaptation, and other aspects.
C1 [Gong, Rui] Southwest Forestry Univ, Coll Soil & Water Conservat, Kunming, Yunnan, Peoples R China.
   [Gong, He-de] Qilu Normal Univ, Sch Geog & Tourism, Jinan, Shandong, Peoples R China.
RP Gong, HD (corresponding author), Qilu Normal Univ, Sch Geog & Tourism, Jinan, Shandong, Peoples R China.
EM gonghede3@163.com
FX The author(s) declare that no financial support was received for the
   research, authorship, and/or publication of this article.
CR Chai ZZ, 2016, BOT STUD, V57, DOI 10.1186/s40529-016-0139-5
   [丛晓峰 Cong Xiaofeng], 2023, [生态科学, Ecologic Science], V42, P39
   Cox G.W., 1980, Laboratory manual of general ecology, V4th
   Fan ChunNan Fan ChunNan, 2013, Journal of Beijing Forestry University, V35, P1
   FRECKMAN DW, 1985, ANNU REV PHYTOPATHOL, V23, P275, DOI 10.1146/annurev.py.23.090185.001423
   Gao D. C., 2022, Shaanxi For. Sci. Technol, V50, P6
   Greig-Smith P, 1983, Quantitative plant ecology
   Guo Zhongling, 2004, Yingyong Shengtai Xuebao, V15, P2013
   Huang YM, 2015, CATENA, V125, P135, DOI 10.1016/j.catena.2014.09.010
   HURLBERT SH, 1969, ECOLOGY, V50, P1, DOI 10.2307/1934657
   Jiang CC, 2022, FORESTS, V13, DOI 10.3390/f13081334
   [靳瑰丽 Jin Guili], 2014, [草地学报, Acta Agrestia Sinica], V22, P1179
   Jin SS, 2022, FORESTS, V13, DOI 10.3390/f13030373
   Kuzelová I, 2004, PLANT ECOL, V173, P247, DOI 10.1023/B:VEGE.0000029330.38055.8e
   [李怀珠 Li Huaizhu], 2020, [西北林学院学报, Journal of Northwest Forestry University], V35, P66
   [李军玲 Li Junling], 2010, [草业科学, Pratacultural Science], V27, P119
   Lin C., 1985, J. Geogr. Sci, V40, P20
   Liu BB, 2022, FORESTS, V13, DOI 10.3390/f13121999
   [刘玉祯 Liu Yuzhen], 2021, [草地学报, Acta Agrestia Sinica], V29, P1166
   Ludwig J.A., 1988, pi
   Nguyen V. Q., 2023, Moscow University Biological Sciences Bulletin, V78, P89, DOI 10.3103/S0096392523020062
   Sanjerehei MM, 2020, ECOL INFORM, V55, DOI 10.1016/j.ecoinf.2019.101034
   Shao-Lin P., 1999, Acta Botanica Sin, V41, P1239
   [涂洪润 Tu Hongrun], 2022, [生态学报, Acta Ecologica Sinica], V42, P3688
   Wang B.S., 1985, Chin. J. Plant Ecol, V9, P274
   Wilson WG, 1997, ECOLOGY, V78, P2004, DOI 10.1890/0012-9658(1997)078[2004:CACASE]2.0.CO;2
   Yu B., 2023, J. Plateau Agric, V7, P418
   [张金屯 Zhang Jintun], 2003, [植物研究, Bulletin of Botanical Research], V23, P458
   Zhang Qian, 2019, ACTA BOTANICA BOREALI-OCCIDENTALIA SINICA, V39, P1480, DOI 10.7606/j.issn.1000-4025.2019.08.1480
   Zhang X., 2015, Study on population distribution, morphological structure and physiological-biochemical characteristics of dactylis glomerata in different geographical areas of Tianshan mountains of Xinjiang in China
   Zhang XianHua Zhang XianHua, 2017, Acta Prataculturae Sinica, V26, P12
   Zhang ZH, 2010, ECOL RES, V25, P1151, DOI 10.1007/s11284-010-0740-0
   Zhou X.-L., 2022, Interspecific Association of Shrub Species in Burned Site of Picea asperata-Abies fabri Forest on the Northern Slope of Dieshan Mountains, V35, P163
   Zhou X. Y., 2000, Chin. J. Plant Ecol, V24, P332
NR 34
TC 0
Z9 0
U1 0
U2 0
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 DEC 16
PY 2024
VL 15
AR 1461576
DI 10.3389/fpls.2024.1461576
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA Q6R0H
UT WOS:001385912600001
PM 39737374
OA gold
DA 2025-01-10
ER

PT J
AU Maria, D
   Sasmito, A
   Sushama, L
   Khaliq, MN
AF Maria, Dona
   Sasmito, Agus
   Sushama, Laxmi
   Khaliq, Muhammad Naveed
TI Non-stationary analysis of future floods using physical covariates and
   implications for dams across Canada
SO RESULTS IN ENGINEERING
LA English
DT Article
DE Climate change vulnerability assessment; Climate-hydrology integrated
   modeling; Design flood magnitudes; Non-stationary frequency analysis;
   Physical covariates
ID EXTREME-VALUE ANALYSIS; FREQUENCY-ANALYSIS; CLIMATE-CHANGE; HYDROLOGICAL
   EXTREMES; NON-STATIONARITY; MAXIMUM FLOOD; RIVER-BASIN; TRENDS; MODEL;
   STREAMFLOW
AB Non-stationary flood frequency analysis (FFA) has gained much momentum in recent years. However, most of the applications have considered time as the sole covariate, which may not be fully adept given the varied evolution of flood predictors. Incorporating physical covariates representing dominant flood generating mechanisms can enable more precise flood risk assessments. This study applies non-stationary FFA with flood-relevant physical covariates to assess dam vulnerability across Canada, using transient climate change simulations from a regional climate model, one-way coupled to a routing model, for the current 1991-2020 and future 2070-2099 periods. From a set of 10 non-stationary models, considering maximum snow water equivalent, average annual temperature, spring-summer rainfall, fall-winter rainfall, and their combinations as plausible physical covariates, the preferred model for each grid cell is selected through a corrected form of the Akaike Information Criterion. The spatial patterns of physical covariates of the preferred models are, in general, found consistent with the flood generating mechanisms. Little support is found for the traditional stationary FFA approach compared to the nonstationary FFA with physical covariates. Application of the preferred model for the RCP8.5 scenario suggest that 67.5 % of dams, from a pre-identified set of medium and large dams, are located in vulnerable regions, far exceeding the stationary model estimates. The study provides useful insights, both for the development of nonstationary FFA models considering physical covariates and their application in the vulnerability assessment of critical water infrastructure in Canada, thereby contributing to the development of climate change adaptation strategies.
C1 [Maria, Dona; Sasmito, Agus] McGill Univ, Dept Mat & Min Engn, Montreal, PQ, Canada.
   [Maria, Dona; Sushama, Laxmi] McGill Univ, Dept Civil Engn, Montreal, PQ, Canada.
   [Khaliq, Muhammad Naveed] Natl Res Council Canada, Ocean Coastal & River Engn Res Ctr, Ottawa, ON, Canada.
C3 McGill University; McGill University; National Research Council Canada
RP Maria, D (corresponding author), McGill Univ, Dept Mat & Min Engn, Montreal, PQ, Canada.; Maria, D (corresponding author), McGill Univ, Dept Civil Engn, Montreal, PQ, Canada.
EM dona.maria@mcgill.ca
FU National Research Council Canada's Climate Resilient Built Environment
   (CRBE) initiative through Infrastructure Canada (INFC); INFC
FX This research was funded through 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. The climate model
   simulations considered in this study were provided by the Trottier Chair
   in Sustainable Engineering and Design.
CR Agilan V, 2017, ADV WATER RESOUR, V101, P11, DOI 10.1016/j.advwatres.2016.12.016
   Ahn KH, 2016, HYDROL PROCESS, V30, P3518, DOI 10.1002/hyp.10876
   AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Ammar ME, 2020, ADV WATER RESOUR, V136, DOI 10.1016/j.advwatres.2019.103463
   [Anonymous], 1993, An Introduction To The Bootstrap
   [Anonymous], 2001, INTRO STAT MODELING
   Aryal A, 2022, FORECASTING-BASEL, V4, P582, DOI 10.3390/forecast4030032
   Awasthi C, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031246
   Bayazit M, 2015, ENVIRON PROCESS, V2, P527, DOI 10.1007/s40710-015-0081-7
   Burn DH, 2016, HYDROL PROCESS, V30, P3303, DOI 10.1002/hyp.10861
   Burn DH, 2016, CAN WATER RESOUR J, V41, P139, DOI 10.1080/07011784.2015.1026844
   Burn DH, 2010, HYDROL PROCESS, V24, P1781, DOI 10.1002/hyp.7625
   Burnham K.P., 2002, Springer Science Business Media, DOI DOI 10.1007/B97636
   Burnham KP, 2004, SOCIOL METHOD RES, V33, P261, DOI 10.1177/0049124104268644
   Bush E., 2019, Canadas Changing Climate Report
   Buttle JM, 2016, CAN WATER RESOUR J, V41, P7, DOI 10.1080/07011784.2015.1131629
   CABD, 2024, Canadian Aquatic Barrier Database: Data Catalogue
   CDA, 2013, Dam Safety Guidelines
   Champagne O, 2023, COLD REG SCI TECHNOL, V209, DOI 10.1016/j.coldregions.2023.103807
   Chen XL, 2021, SCI TOTAL ENVIRON, V762, DOI 10.1016/j.scitotenv.2020.143144
   Chen YR, 2014, INT J CLIMATOL, V34, P3913, DOI 10.1002/joc.3950
   Cheng LY, 2014, CLIMATIC CHANGE, V127, P353, DOI 10.1007/s10584-014-1254-5
   Clavet-Gaumont J, 2017, J HYDROL-REG STUD, V13, P11, DOI 10.1016/j.ejrh.2017.07.003
   Larrauri PC, 2023, J WATER RES PLAN MAN, V149, DOI 10.1061/JWRMD5.WRENG-5673
   Cote J, 1998, MON WEATHER REV, V126, P1373, DOI 10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO;2
   Cunderlik JM, 2003, J HYDROL, V276, P210, DOI 10.1016/S0022-1694(03)00062-3
   Debele SE, 2017, ACTA GEOPHYS, V65, P863, DOI 10.1007/s11600-017-0071-4
   Dharmarathne G, 2024, RESULTS ENG, V22, DOI 10.1016/j.rineng.2024.102123
   Faulkner D, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12582
   Faulkner DS, 2024, HYDROL RES, V55, P205, DOI 10.2166/nh.2024.134
   Ferrer J, 2012, SCI TOTAL ENVIRON, V440, P42, DOI 10.1016/j.scitotenv.2012.08.032
   Fluixá-Sanmartín J, 2018, NAT HAZARD EARTH SYS, V18, P2471, DOI 10.5194/nhess-18-2471-2018
   Xavier ACF, 2020, INT J CLIMATOL, V40, P1197, DOI 10.1002/joc.6265
   Gado TA, 2016, J HYDROL, V535, P722, DOI 10.1016/j.jhydrol.2015.12.064
   Gao M, 2018, STOCH ENV RES RISK A, V32, P1299, DOI 10.1007/s00477-017-1482-0
   Gu X, 2016, GLOBAL PLANET CHANGE, V142, P1, DOI 10.1016/j.gloplacha.2016.04.004
   Hamdi Y, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9040129
   Helsel D.R., 2020, Statistical Methods in Water Resources, Techniques and Methods, DOI [10.3133/tm4A3, DOI 10.3133/TM4A3]
   Hosking J.R.M., 1997, Regional Frequency Analysis: An Approach Based on L-Moments, DOI [10.1017/CBO9780511529443, DOI 10.1017/CBO9780511529443]
   HURVICH CM, 1989, BIOMETRIKA, V76, P297, DOI 10.1093/biomet/76.2.297
   Huziy O, 2013, CLIM DYNAM, V40, P1879, DOI 10.1007/s00382-012-1406-0
   ICOLD, 2016, Bulletin, V169
   ICOLD C., 2018, Flood Evaluation and Dam Safety, DOI DOI 10.1201/9781351031103
   IHA, 2019, Hydropower Sector Climate Resilience Guide
   Isensee LJ, 2021, WATER RESOUR MANAG, V35, P1499, DOI 10.1007/s11269-021-02798-3
   Islam MR, 2024, DISCOV APPL SCI, V6, DOI 10.1007/s42452-024-05814-4
   Jeong DI, 2018, CLIM DYNAM, V50, P303, DOI 10.1007/s00382-017-3609-x
   Kang L, 2019, WATER-SUI, V11, DOI 10.3390/w11010079
   Katz RW, 2010, CLIMATIC CHANGE, V100, P71, DOI 10.1007/s10584-010-9834-5
   Khaliq MN, 2006, J HYDROL, V329, P534, DOI 10.1016/j.jhydrol.2006.03.004
   Khaliq M.N., 2019, Report No. NRC-OCRE-2019-TR-011
   Khaliq MN, 2024, WATER SCI TECHNOL, V89, P2225, DOI 10.2166/wst.2024.096
   King LM, 2017, WATER RESOUR RES, V53, P7148, DOI 10.1002/2017WR020834
   Kundzewicz ZW, 2011, J AM WATER RESOUR AS, V47, P550, DOI 10.1111/j.1752-1688.2011.00549.x
   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, P35, DOI [10.59327/IPCC/AR6-9789291691647, DOI 10.59327/IPCC/AR6-9789291691647]
   Lehner B., 2008, EOS T AM GEOPHYSICAL, V89, P9394, DOI [10.1029/2008EO100001, DOI 10.1029/2008EO100001]
   Li XQ, 2022, RADIAT DETECT TECHNO, V6, P12, DOI 10.1007/s41605-021-00288-z
   Mallakpour I, 2019, GEOPHYS RES LETT, V46, P2130, DOI 10.1029/2018GL081888
   Maria D, 2024, RESULTS ENG, V22, DOI 10.1016/j.rineng.2024.102038
   Merz B, 2012, HYDROL EARTH SYST SC, V16, P1379, DOI 10.5194/hess-16-1379-2012
   Mudersbach C, 2010, J FLOOD RISK MANAG, V3, P52, DOI 10.1111/j.1753-318X.2009.01054.x
   Musselman KN, 2018, NAT CLIM CHANGE, V8, P808, DOI 10.1038/s41558-018-0236-4
   Nouri L, 2024, RESULTS ENG, V21, DOI 10.1016/j.rineng.2024.101871
   Pirani FJ, 2023, COAST ENG, V182, DOI 10.1016/j.coastaleng.2023.104292
   Pomeroy JW, 2016, CAN WATER RESOUR J, V41, P105, DOI 10.1080/07011784.2015.1089190
   Rajkhowa S, 2021, Global Climate Change, P321, DOI DOI 10.1016/B978-0-12-822928-6.00012-5
   Razmi A, 2017, WATER RESOUR MANAG, V31, P2065, DOI 10.1007/s11269-017-1619-4
   Renard B, 2014, WATER RESOUR RES, V50, P9536, DOI 10.1002/2014WR016277
   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
   Serago JM, 2018, ADV WATER RESOUR, V112, P1, DOI 10.1016/j.advwatres.2017.11.026
   Soulis ED, 2000, ATMOS OCEAN, V38, P251, DOI 10.1080/07055900.2000.9649648
   Southworth H., 2024, texmex: Statistical modelling of extreme values
   Sraj M, 2016, J HYDROL HYDROMECH, V64, P426, DOI 10.1515/johh-2016-0032
   Stedinger JR, 2011, J AM WATER RESOUR AS, V47, P506, DOI 10.1111/j.1752-1688.2011.00545.x
   Strupczewski WG, 2001, J HYDROL, V248, P123, DOI 10.1016/S0022-1694(01)00397-3
   Strupczewski WG, 2001, J HYDROL, V248, P152, DOI 10.1016/S0022-1694(01)00399-7
   Sugahara S, 2009, INT J CLIMATOL, V29, P1339, DOI 10.1002/joc.1760
   Sushama L, 2006, INT J CLIMATOL, V26, P2141, DOI 10.1002/joc.1362
   Tan XZ, 2017, CLIM DYNAM, V48, P2983, DOI 10.1007/s00382-016-3246-9
   Tan XZ, 2015, J CLIMATE, V28, P1788, DOI 10.1175/JCLI-D-14-00538.1
   Teufel B, 2021, WATER-SUI, V13, DOI 10.3390/w13111494
   Teufel B, 2019, CLIM DYNAM, V52, P4193, DOI 10.1007/s00382-018-4375-0
   Tramblay Y, 2013, HYDROLOG SCI J, V58, P280, DOI 10.1080/02626667.2012.754988
   Vahedifard F, 2020, J GEOTECH GEOENVIRON, V146, DOI 10.1061/(ASCE)GT.1943-5606.0002399
   Vogel RM, 2011, J AM WATER RESOUR AS, V47, P464, DOI 10.1111/j.1752-1688.2011.00541.x
   Wasko C, 2021, PHILOS T R SOC A, V379, DOI 10.1098/rsta.2019.0548
   Watt W.E., 1989, HYDROLOGY FLOODS CAN
   Wilcox C, 2018, J HYDROL, V566, P531, DOI 10.1016/j.jhydrol.2018.07.063
   Wing OEJ, 2024, WATER RESOUR RES, V60, DOI 10.1029/2023WR036460
   Wu Y., 2018, IOP Conference Series: Earth and Environmental Science, V170, DOI [10.1088/1755-1315/170/2/022149, DOI 10.1088/1755-1315/170/2/022149]
   Xiong LH, 2015, WATER RESOUR MANAG, V29, P3615, DOI 10.1007/s11269-015-1019-6
   Yan L, 2017, J HYDROL, V551, P132, DOI 10.1016/j.jhydrol.2017.06.001
   Yoon JH, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms9657
   Zaerpour M, 2021, HYDROL EARTH SYST SC, V25, P5193, DOI 10.5194/hess-25-5193-2021
   Zhang Q, 2015, J HYDROL, V527, P565, DOI 10.1016/j.jhydrol.2015.05.029
NR 96
TC 0
Z9 0
U1 0
U2 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2590-1230
J9 RESULTS ENG
JI Results Eng.
PD DEC
PY 2024
VL 24
AR 103645
DI 10.1016/j.rineng.2024.103645
PG 11
WC Engineering, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Engineering
GA P9Z1T
UT WOS:001381387600001
OA gold
DA 2025-01-10
ER

PT J
AU Affoh, R
   Zheng, HX
   Zhang, XB
   Wang, XY
   Dangui, K
   Zhang, LW
AF Affoh, Raifatou
   Zheng, Haixia
   Zhang, Xuebiao
   Wang, Xiangyang
   Dangui, Kokou
   Zhang, Liwen
TI Climate-Smart Agriculture as an Adaptation Measure to Climate Change in
   Togo: Determinants of Choices and Its Impact on Rural Households' Food
   Security
SO AGRONOMY-BASEL
LA English
DT Article
DE climate change; adaptation; climate-smart agricultural practices; food
   security; Togo
ID TECHNOLOGY; STRATEGIES; ADOPTION; POVERTY; WELFARE; MODEL
AB Climate-smart agriculture is one of the most important actions for agricultural climate change adaptation, especially in Togo, a sub-Saharan African country with a fragile ecology and where agriculture is profoundly impacted by climate change. Using a multinomial endogenous switching regression (MESR) and a multinomial endogenous treatment effect (METE) approach, we conducted empirical research to identify the factors influencing the adoption decisions of climate-smart agricultural practices (CSAPs) and their impact on household food security among smallholder farmers in Togo. The findings of this study revealed that the adoption of CSAPs by farmers is influenced by a range of factors, such as age, marital status, the household head's gender, engagement in off-farm activities, level of education, farm size, agroecological zone, regional location, land ownership, distance between homestead and farm, access to credit, the presence of agricultural associations and cooperatives, and access to extension agents. On the one hand, the MESR analysis demonstrated a positive correlation between the number of adopted CSAPs and households' food consumption score. Similarly, greater adoption of CSAPs resulted in a significant reduction in the food insecurity experience scale. On the other hand, the METE model portrayed an increase in acceptable food consumption when households adopted up to three CSAPs. Likewise, it significantly alleviated severe food insecurity. Further results based on the propensity score matching technique showed that the adoption of a crop rotation system, utilization of improved varieties of seeds, plant protection products, inorganic fertilizer, organic fertilizer, and irrigation improved adopters' food consumption scores while reducing their level of food insecurity.
C1 [Affoh, Raifatou; Zheng, Haixia; Zhang, Xuebiao; Zhang, Liwen] Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China.
   [Zheng, Haixia; Zhang, Xuebiao] Minist Agr & Rural Affairs, Key Lab Agr Big Data, Beijing 100081, Peoples R China.
   [Wang, Xiangyang] Chinese Acad Fiscal Sci, Beijing 100142, Peoples R China.
   [Dangui, Kokou] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Xianyang, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Agriculture Information
   Institute, CAAS; Ministry of Agriculture & Rural Affairs; Northwest A&F
   University - China
RP Zheng, HX; Zhang, XB (corresponding author), Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China.; Zheng, HX; Zhang, XB (corresponding author), Minist Agr & Rural Affairs, Key Lab Agr Big Data, Beijing 100081, Peoples R China.
EM raifatouaffoh@yahoo.fr; zhenghaixia@caas.cn; zhangxuebiao@caas.cn;
   wangxiangyang@caas.cn; kokoudangui@gmail.com; liwen.zhang91@outlook.com
RI Ivory, Cauchy/JDN-3807-2023; zhang, liwen/M-2470-2018
OI Zheng, Haixia/0000-0002-3470-2313
FU National Natural Science Foundation of China [42371320]; Agricultural
   Science and Technology Innovation Program [CAAS-ASTIP-2024-AII,
   JBYW-AII-2024-06, CAAS-CSAERD-202402]
FX This research is financially supported by the National Natural Science
   Foundation of China (42371320); The Agricultural Science and Technology
   Innovation Program (CAAS-ASTIP-2024-AII;JBYW-AII-2024-06); The
   Agricultural Science and Technology Innovation Program
   (CAAS-CSAERD-202402).
CR Abdulai AN, 2016, AGR ECON-BLACKWELL, V47, P729, DOI 10.1111/agec.12269
   Abegunde VO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010195
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abreu M, 2015, J ECON GEOGR, V15, P353, DOI 10.1093/jeg/lbt043
   Affoh R, 2023, LAND-BASEL, V12, DOI 10.3390/land12010123
   Affoh R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020759
   African Union Compact Togo, 2023, Pour L'alimentation et L'agriculture
   Agbenyo W, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19073804
   Alabi O. O., 2014, International Journal of Food and Agricultural Economics, V2, P85
   Alexopoulos G., 2010, Building sustainable rural futures: the added value of systems approaches in times of change and uncertainty. 9th European IFSA Symposium, Vienna, Austria, 4-7 July 2010, P1083
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Ali H, 2023, AGR FOOD SECUR, V11, DOI 10.1186/s40066-022-00401-5
   [Anonymous], 2008, Technical Guidance Sheet, P1, DOI [10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324]
   [Anonymous], 2018, IPCC Global warming of 1.5C; Intergovernmental Panel on Climate Change (IPCC)
   [Anonymous], 2021, The State of Food and Agriculture 2021: Making agrifood systems more resilient to shocks and stresses, DOI [10.4060/cb4476-n, DOI 10.4060/CB4476-N, 10.4060/cb4476en, DOI 10.4060/CB4476EN]
   Anser MK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17072522
   Aryal JP, 2021, ENVIRON SCI POLLUT R, V28, P51480, DOI 10.1007/s11356-021-13975-7
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Ayenew Workineh, 2020, African Journal of Agricultural Research, V15, P431, DOI 10.5897/AJAR2019.14302
   Balaka M.M., 2021, J AGR EC RURAL DEV, V7, P978
   Belay A, 2024, ENVIRON DEV SUSTAIN, V26, P16711, DOI 10.1007/s10668-023-03307-9
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Benjamin T A., 2015, Agriculture, Forestry and Fisheries, V4, P77, DOI [DOI 10.11648/J.AFF.20150402.19, 10.11648/j.aff.20150402.19]
   Borkhani FR, 2019, ENVIRON SCI POLLUT R, V26, P6829, DOI 10.1007/s11356-018-04083-0
   Bourguignon F, 2007, J ECON SURV, V21, P174, DOI 10.1111/j.1467-6419.2007.00503.x
   CADRI, 2020, Diagnostic des Capacits en Matire de Rduction des Risques de Catastrophe et Dadaptation au Changement Climatique
   Chete Oluwatoyin Bukola, 2021, Journal of Agricultural Extension and Rural Development, V13, P107, DOI 10.5897/JAERD2019.1032
   Chowdhury R, 2019, NUTRITION, V57, P63, DOI 10.1016/j.nut.2018.05.034
   Deb P, 2006, STATA J, V6, P246, DOI 10.1177/1536867X0600600206
   Dehejia RH, 2002, REV ECON STAT, V84, P151, DOI 10.1162/003465302317331982
   Diallo A, 2020, CLIMATIC CHANGE, V159, P309, DOI 10.1007/s10584-020-02684-8
   Ding Z, 2020, J INT DEV, V32, P505, DOI 10.1002/jid.3466
   Ekepu D., 2016, S Afr. Jnl. Agric. Ext., V44, P195, DOI 10.17159/2413-3221/2016/v44n2a421
   Faleye O.S., 2020, J. Agric. Sci. Pract, V5, P131, DOI [DOI 10.31248/JASP2020.202, 10.31248/JASP2020.202]
   FAO, 2024, IMPACT WAR UKRAINE G
   FAO, 2019, Food Security Indicators
   FAO, 2023, Global food security challenges and its drivers: conflicts and wars in Ukraine and other countries, slowdowns and downturns, and climate change
   FAOSTAT, 2024, Cereal Production and Yield in Togo
   Fischer G., 2018, Transforming the Global Food System
   Food and Agriculture Organization. International Fund for Agriculture Development United Nations International Children's Emergency Fund World Food Program & World Health Organization, 2022, The state of food security and nutrition in the world 2022: Repurposing food and agricultural policies to make healthy diets more affordable, DOI [10.4060/cc0639en, DOI 10.4060/CC0639-N]
   Food Security Information Network (FSIN) and Global Network Against Food Crises (GNAFC), 2024, Global Report on Food Crises
   Foudi S, 2012, EUR REV AGRIC ECON, V39, P439, DOI 10.1093/erae/jbr024
   Fraser MW, 2014, Propensity score analysis: Statistical methods and applications (Vol. 11). SAGE publications, V2nd
   Genius M, 2006, J AGR RESOUR ECON, V31, P93
   GIZ, 2017, Plan National Dadaptation aux Changements Climatiques, Rpublique Togolaise, VVolume 97
   Habtewold TM, 2021, J INTEGR AGR, V20, P1021, DOI 10.1016/S2095-3119(21)63637-7
   Hanley A, 2021, CLIMATE, V9, DOI 10.3390/cli9110166
   Haq SU, 2021, FOOD SECUR, V13, P913, DOI 10.1007/s12571-021-01161-z
   He XJ, 2022, J CLEAN PROD, V381, DOI 10.1016/j.jclepro.2022.135171
   Heckman J.J., 2004, Pacific Economic Review, V9, P155, DOI DOI 10.1111/PER.2004.9.ISSUE-3
   IFDA, 2021, Togo Country Strategic Opportunities Programme 20222027
   Imbens GW, 2009, J ECON LIT, V47, P5, DOI 10.1257/jel.47.1.5
   Imran MA, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104113
   INDDEX Project, 2018, Household Food Insecurity Access Scale (HFIAS)
   Jaleta M, 2016, AGR ECON-BLACKWELL, V47, P513, DOI 10.1111/agec.12251
   Jayawardena R, 2013, BMC PUBLIC HEALTH, V13, DOI 10.1186/1471-2458-13-314
   Kapalasa E., 2019, Int. J. Econ. Energy Environ, V4, P1, DOI [DOI 10.11648/J.IJEEE.20190401.11, 10.11648/j.ijeee.20190401.11]
   Kassie GT, 2017, WORLD DEV, V94, P465, DOI 10.1016/j.worlddev.2017.02.008
   Khonje MG, 2018, AGR ECON-BLACKWELL, V49, P599, DOI 10.1111/agec.12445
   Kurgat BK, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00055
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Lunduka RW, 2019, CLIM DEV, V11, P35, DOI 10.1080/17565529.2017.1372269
   Martey E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104622
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Ministere de l'Environnement et des Ressources Forestieres, 2022, About us
   Mutanyagwa AP., 2018, Int. J. Sci. Res. Manag, V6, P55, DOI [10.18535/ijsrm/v6i4.ah01, DOI 10.18535/IJSRM/V6I4.AH01]
   Negera M, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e09824
   Ogada MJ, 2020, WORLD DEV PERSPECT, V18, DOI 10.1016/j.wdp.2020.100203
   Olasehinde TS, 2023, CHINA ECON REV, V78, DOI 10.1016/j.chieco.2023.101935
   Omotoso AB, 2023, J CLEAN PROD, V414, DOI 10.1016/j.jclepro.2023.137487
   Oparinde LO, 2021, AQUACULT ECON MANAG, V25, P450, DOI 10.1080/13657305.2021.1893863
   Ouassa P., 2021, Proc. Int. Assoc. Hydrol. Sci, V384, P319, DOI [10.5194/piahs-384-319-2021, DOI 10.5194/PIAHS-384-319-2021]
   Pereira L., 2017, Oxford Research Encyclopedia of Environmental Science, DOI 10.1093/acrefore/9780199389414.013.292
   Radeny M, 2022, FOOD SECUR, V14, P1511, DOI 10.1007/s12571-022-01307-7
   Rahman S, 2022, LAND-BASEL, V11, DOI 10.3390/land11040512
   Republic of Togo, 2023, Consolidated Report at Term National Consultations as Part of Preparations from Togo to the World Summit on Food Systems
   Sheikomar OB, 2021, CURR DEV NUTR, V5, DOI 10.1093/cdn/nzab017
   Sriwichailamphan T., 2014, INT J EC MANAG SCI, V3, P2, DOI [10.4172/2162-6359.1000179, DOI 10.4172/2162-6359.1000179]
   Tanveer A., 2019, Agronomic Crops, P1, DOI [DOI 10.1007/978-981-32-9783-81, DOI 10.1007/978-981-32-9783-8_1]
   Teklewold H, 2019, WORLD DEV, V122, P38, DOI 10.1016/j.worlddev.2019.05.010
   Tesfaye M, 2022, ADV AGR, V2022, DOI 10.1155/2022/6197119
   Ho TT, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050099
   UNDP, 2021, Contributions Dtermines au niveau National (CDN) Rvises du Togo, Document Intrimaire
   UNFCC, 2019, GHAN 4 NAT GREENH GA, P1
   United Nations Department of Economic and Social Affairs Population Division, 2022, World Population Prospects 2022: Summary of Results UN DESA/POP/2022/TR/NO. 3
   Vera T.S., 2017, Int. J. Agric. Econ. Ext, V5, P256
   Wekesa B. M., 2018, Agriculture & Food Security, V7, P80, DOI 10.1186/s40066-018-0230-0
   Yasin G., 2003, J. Res. Sci. Bahauddin Zakariya Univ. Multan Pakistan, V14, P43
   Zhang L, 2022, J CLEAN PROD, V379, DOI 10.1016/j.jclepro.2022.134734
NR 89
TC 0
Z9 0
U1 4
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD JUL
PY 2024
VL 14
IS 7
AR 1540
DI 10.3390/agronomy14071540
PG 23
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA ZQ3Y2
UT WOS:001276733400001
OA gold
DA 2025-01-10
ER

PT J
AU Kurbatova, MV
   Donova, IV
AF V. Kurbatova, Margarita
   V. Donova, Inna
TI Collective action in climate policy implementation: The role of citizens
SO TERRA ECONOMICUS
LA English
DT Article
DE climate policy; environmental issues; social dilemma; collective action;
   interest groups; polycentric approach; environmental ethics
ID POLYCENTRIC APPROACH
AB We assess the role of citizens in global climate policy using empirical data from a range of sociological studies. The scale of the environment challenge, with climate change issues as its essential part, usually implies that countries and organizations are treated as the key actors whose influence on climate regulation is significant. Meanwhile, in recent years, scholars and experts pay increasing attention to citizen behavior change. On the personal level, behavior change goals may involve the measures for reducing carbon footprint, as well as pressure on policymakers to encourage climate regulations. The purpose of this article is to assess the current role of citizens (their awareness, attitudes to climate change, and willingness to act) in global climate policy. Our theoretical framework is the theory of collective action and its modifications. We highlight the peculiarities of collective action to counteract climate change, as well as complementary approaches which represent the solution of the "social dilemma" regarding environmental protection from different perspectives. Approaches to citizen engagement in climate change adaptation may vary (instrumental, polycentric, ethical). We found that currently the instrumental approach is being implemented. Our results show that currently citizens' readiness for collective action on climate change issues is not high. We also found a wide variance across countries and their groups in terms of citizen engagement, and a rather intensive application of behavioral economics tools. We conclude that the role of citizens' collective action in climate policy implementation addresses such underlying concerns as ethical responsibility towards environmental sustainability and public attention to environmental issues on different levels of the economy.
C1 [V. Kurbatova, Margarita] Siberian Fed Univ, Krasnoyarsk, Russia.
   [V. Donova, Inna] Kemerovo State Univ, Kemerovo, Russia.
C3 Siberian Federal University; Kemerovo State University
RP Kurbatova, MV (corresponding author), Siberian Fed Univ, Krasnoyarsk, Russia.
EM kurbatova-07@mail.ru; idonova@gmail.com
FU State Assignment of the Ministry of Science and Higher Education of the
   Russian Federation [FSRZ-2024-0003]
FX Funding: The study was funded by the State Assignment of the Ministry of
   Science and Higher Education of the Russian Federation (FSRZ-2024-0003)
   .
CR Andersson K., 2021, Climatic Psychology: How to Achieve Development
   Bowles S., 2011, Microeconomics. Behavior, Institutions, and Evolution
   Cole DH, 2015, NAT CLIM CHANGE, V5, P114, DOI 10.1038/NCLIMATE2490
   Danilov-Danil'yan VI, 2020, HER RUSS ACAD SCI+, V90, P577, DOI 10.1134/S1019331620050123
   Kurbatova MV, 2023, J INST STUD, V15, P6, DOI 10.17835/2076-6297.2023.15.2.006-023
   Muller G., 2021, Beitrage zur Jahrestagung des Vereins fur Socialpolitik 2021: Climate Economics
   Olson M., 1998, The Rise and Decline of Nations: Economic Growth, Stagflation and Social Rigidities
   Olson M., 1996, The Logic of Collective Action. Public Goods and the Theory of Groups
   Ostrom E, 2010, VOPR GOS MUNITSIPALN, P5
   Ostrom E, 2014, ANN ECON FINANC, V15, P97
   Ostrom V., 1999, Polycentricity and Local Public Economies: Readings from the Workshop in Political Theory and Policy Analysis, P52
   Schwab K, 2016, Stakeholder Capitalism. A Global Economy That Works for Progress, People and Planet
   Sen Amartya, 2004, DEV FREEDOM
   Thaler R., 2017, Nudge. Improving Decisions about Health, Wealth and Happiness.
NR 14
TC 0
Z9 0
U1 4
U2 5
PU SOUTHERN FEDERAL UNIV
PI ROSTOV-ON-DON
PA OF 211, GORGOKO ST, 88, ROSTOV-ON-DON, 344002, RUSSIA
SN 2073-6606
J9 TERRA ECON
JI Terra Econ.
PY 2024
VL 22
IS 1
BP 62
EP 80
DI 10.18522/2073-6606-2024-22-1-62-80
PG 19
WC Economics
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics
GA MA1E4
UT WOS:001190801800003
OA gold
DA 2025-01-10
ER

PT J
AU Niemczyk, M
   Thomas, BR
   Jastrzebowski, S
AF Niemczyk, Marzena
   Thomas, Barb R.
   Jastrzebowski, Szymon
TI Strategies for difficult times: physiological and morphological
   responses to drought stress in seedlings of Central European tree
   species
SO TREES-STRUCTURE AND FUNCTION
LA English
DT Article
DE Drought stress; Isohydric; Anisohydric; Maximum efficiency of PSII;
   Chlorophyll fluorescence; Root characteristics
ID FAGUS-SYLVATICA L.; CHLOROPHYLL FLUORESCENCE; WATER RELATIONS;
   PHOTOSYNTHESIS; ROOTS; VULNERABILITY; PROVENANCES; PLANTS
AB Drought is an important factor in ecological change and species distribution shifts. We conducted a greenhouse experiment with seedlings of four Central European tree species: Pinus sylvestris (PS), Picea abies (PA), Fagus sylvatica (FS), and Quercus robur (QR) to investigate their response to drought. We monitored maximum quantum yield of photosystem II (F-v/F-m) during a 60-day drought treatment and measured above- and below-ground characteristics as morphophysiological responses to drought stress. Due to the fast, juvenile growth of the deciduous species (FS and QR), they had higher soil water uptake and suffered more quickly from severe drought than conifers (PS and PA). The deciduous species maintained a higher F-v/F-m, until volumetric water content (VWC) was very low (< 5%), oscillating within a narrow safety margin. Both conifers PA and PS conserved soil water; photoinhibition in these species occurred at VWC of 14.5% and 5.5%, respectively. There were no differences in height between drought-stressed and irrigated seedlings, while drought reduced all root characteristics of the deciduous seedlings. Our study revealed trade-offs between different water management strategies, growth rate, and photoinhibition during the juvenile growth stage of our focal species. For climate change adaptation, anisohydric deciduous tree species seem to be more suitable. However, PS, with its water-conserving management and low photoinhibition threshold, holds promise for successful regeneration on drought-prone sites. Since species selection is critical for forest sustainability, our study contributes to the broader discussion of tree species' drought resistance during the vulnerable juvenile phase in the face of climate change.
C1 [Niemczyk, Marzena; Jastrzebowski, Szymon] Forest Res Inst, Dept Silviculture & Forest Tree Genet, Braci Lesnej 3, PL-05090 Sekocin Stary, Raszyn, Poland.
   [Thomas, Barb R.] Univ Alberta, Dept Renewable Resources, 442 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
C3 Forest Research Institute; University of Alberta
RP Niemczyk, M (corresponding author), Forest Res Inst, Dept Silviculture & Forest Tree Genet, Braci Lesnej 3, PL-05090 Sekocin Stary, Raszyn, Poland.
EM M.Niemczyk@ibles.waw.pl
RI Jastrzębowski, Szymon/U-8138-2018; Niemczyk, Marzena/AAF-5787-2019
OI Niemczyk, Marzena/0000-0002-1508-2497; Thomas, Barb
   R./0000-0002-9718-9297
FU State Forests National Forest Holding (Poland) [500468]; Forest Research
   Institute
FX This research was funded by the State Forests National Forest Holding
   (Poland), grant number 500468 (acquisition Marzena Niem-czyk). This
   manuscript was developed under a scholarship grant to Marzena Niemczyk
   within a Scholarship Fund of the Forest Research Institute, pursuant to
   the decision of the Head of the Institute dated 14 April 2022 (based on
   an agreement concluded on 14 April 2022).
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Aranda I, 2000, TREES-STRUCT FUNCT, V14, P344, DOI 10.1007/s004680050229
   Aranda I, 2012, Plant Responses to Drought Stress, P293
   Baker NR, 2008, ANNU REV PLANT BIOL, V59, P89, DOI 10.1146/annurev.arplant.59.032607.092759
   Brunner I, 2007, J FOREST RES-JPN, V12, P78, DOI 10.1007/s10310-006-0261-4
   Brunner I, 2015, FRONT PLANT SCI, V6, DOI 10.3389/fpls.2015.00547
   Chalupka W, 1977, SWIERK POSPOLITY PIC
   Chalupka W, 2006, DEBY QUERCUS ROBUR L, P11
   Chalupka W, 1993, BIOL SOSNY ZWYCZAJNE, P112
   Chalupka W, 1990, BUK ZWYCZAJNY FAGUS, P123
   Choat B, 2012, NATURE, V491, P752, DOI 10.1038/nature11688
   Cook BI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001461
   Dawson TE, 1996, TREE PHYSIOL, V16, P263
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   Eldhuset TD, 2013, PLANT SOIL, V366, P305, DOI 10.1007/s11104-012-1432-z
   Ellis CJ, 2013, BOTANY, V91, P1, DOI 10.1139/cjb-2012-0171
   Engelbrecht BMJ, 2007, NATURE, V447, P80, DOI 10.1038/nature05747
   EPRON D, 1993, NEW PHYTOL, V125, P381, DOI 10.1111/j.1469-8137.1993.tb03890.x
   Ewers BE, 2000, PLANT CELL ENVIRON, V23, P1055, DOI 10.1046/j.1365-3040.2000.00625.x
   Franks PJ, 2007, PLANT CELL ENVIRON, V30, P19, DOI 10.1111/j.1365-3040.2006.01600.x
   Haans A., 2018, Practical Assessment, Research, and Evaluation, V23, P9, DOI [DOI 10.7275/ZEYH-J468, 10.7275/7dey-zd62, DOI 10.7275/7DEY-ZD62]
   Hacke UG, 2000, OECOLOGIA, V124, P495, DOI 10.1007/PL00008875
   Hamanishi ET, 2011, FORESTRY, V84, P273, DOI 10.1093/forestry/cpr012
   Kieliszewska-Rokicka B, 2006, NASZE DRZEWA LESNE
   Kozlowski TT, 2002, BOT REV, V68, P270, DOI 10.1663/0006-8101(2002)068[0270:AAAROW]2.0.CO;2
   KRAMER PJ, 1974, PLANT PHYSIOL, V54, P463, DOI 10.1104/pp.54.4.463
   Lakens Daniel, 2013, Front Psychol, V4, P863, DOI 10.3389/fpsyg.2013.00863
   LICHTENTHALER HK, 1988, CRC CR REV ANAL CHEM, V19, pS29, DOI 10.1080/15476510.1988.10401466
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   LONG SP, 1994, ANNU REV PLANT PHYS, V45, P633, DOI 10.1146/annurev.pp.45.060194.003221
   Marien B, 2021, FORESTS, V12, DOI 10.3390/f12121680
   Martínez-Sancho E, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00598
   Maxwell K, 2000, J EXP BOT, V51, P659, DOI 10.1093/jexbot/51.345.659
   McDowell N, 2008, NEW PHYTOL, V178, P719, DOI 10.1111/j.1469-8137.2008.02436.x
   McElrone AJ, 2007, PLANT CELL ENVIRON, V30, P1411, DOI 10.1111/j.1365-3040.2007.01714.x
   Melillo J. M., 2018, RENEW ENERGY 4 VOL S, V14, P287, DOI [10.4324/9781315793245-24, DOI 10.4324/9781315793245-24]
   Mena-Petite A, 2000, J PLANT PHYSIOL, V156, P84, DOI 10.1016/S0176-1617(00)80276-X
   Meng LL, 2016, PHOTOSYNTHETICA, V54, P414, DOI 10.1007/s11099-016-0191-0
   Methy M, 1996, ANN SCI FOREST, V53, P255, DOI 10.1051/forest:19960208
   Murchie EH, 2013, J EXP BOT, V64, P3983, DOI 10.1093/jxb/ert208
   Poorter H, 2012, NEW PHYTOL, V193, P30, DOI 10.1111/j.1469-8137.2011.03952.x
   Nguyen QN, 2017, TREES-STRUCT FUNCT, V31, P1215, DOI 10.1007/s00468-017-1539-1
   Remke MJ, 2022, GLOBAL CHANGE BIOL, V28, P6280, DOI 10.1111/gcb.16369
   Robakowski P, 2020, FORESTS, V11, DOI 10.3390/f11091011
   Salmon Y, 2020, NEW PHYTOL, V226, P690, DOI 10.1111/nph.16436
   Sandoval-Martínez J, 2023, J ENVIRON MANAGE, V329, DOI 10.1016/j.jenvman.2022.117038
   Saxe H, 2001, NEW PHYTOL, V149, P369, DOI 10.1046/j.1469-8137.2001.00057.x
   Schipper AM, 2020, GLOBAL CHANGE BIOL, V26, P760, DOI 10.1111/gcb.14848
   Stanisz A., 2007, Przystepny Kurs Statystyki: Z Zastosowaniem STATISTICA PL Na Przyk\\ladach z Medycyny. Analizy Wielowymiarowe
   Stirzaker RJ, 1996, PLANT CELL ENVIRON, V19, P201, DOI 10.1111/j.1365-3040.1996.tb00241.x
   Szyp-borowska I, 2022, SELECTED CLONES IN V
   Taeger S, 2015, PLANT BIOLOGY, V17, P361, DOI 10.1111/plb.12245
   Thiel D, 2012, FOREST ECOL MANAG, V270, P200, DOI 10.1016/j.foreco.2012.01.034
   Urban L, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02068
   Wulf M, 2009, J VEG SCI, V20, P517, DOI 10.1111/j.1654-1103.2009.05713.x
   Zang U, 2014, J PLANT NUTR SOIL SC, V177, P168, DOI 10.1002/jpln.201300196
   Zhuang J, 2020, PEERJ, V8, DOI 10.7717/peerj.10046
NR 57
TC 5
Z9 5
U1 2
U2 15
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0931-1890
EI 1432-2285
J9 TREES-STRUCT FUNCT
JI Trees-Struct. Funct.
PD DEC
PY 2023
VL 37
IS 6
BP 1657
EP 1669
DI 10.1007/s00468-023-02450-0
EA SEP 2023
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA CF0N9
UT WOS:001060188300002
OA hybrid
DA 2025-01-10
ER

PT J
AU Sengupta, S
   Kovalevsky, DV
   Bouwer, LM
   Scheffran, J
AF Sengupta, Shubhankar
   Kovalevsky, Dmitry V.
   Bouwer, Laurens M.
   Scheffran, Jurgen
TI Urban Planning of Coastal Adaptation under Sea-Level Rise: An
   Agent-Based Model in the VIABLE Framework
SO URBAN SCIENCE
LA English
DT Article
DE agent-based modeling; urban adaptation; VIABLE framework; coastal city;
   urban dynamics; climate change adaptation; relocation
AB Coastal flood risk and sea-level rise require decisions on investment in coastal protection and, in some cases, the relocation of urban areas. Models that formalize the relations between flooding costs, protective investments, and relocation can improve the analysis of the processes and issues involved and help to support decision-making better. In this paper, an agent-based model of a coastal city is represented in NetLogo. This model is based on the VIABLE modeling framework and describes adaptive dynamic agent behavior in a changing system. The hypothetical city faces damage caused by gradually rising sea levels and subsequent extreme sea-level events. To mitigate these risks, an "urban planner" agent has two adaptation measures at their disposal: developing coastal defenses or, as a more extreme measure, relocating vulnerable areas inland. As the simulation progresses and the decisions change with rising sea levels, the agent alters investments in these two measures to increase its value function, resulting in dynamic reactive behavior. Additionally, gradual sea-level rise is implemented in various modes, along with extreme sea-level events that cause severe short-term damage. The results of simulations under these modes and with multiple scenarios of agent action are presented. On average, agent behavior is quite reactive under limited foresight. Individual simulations yield a 'priming' effect when comparing different timings of extreme sea-level events, wherein an earlier extreme event primes the agent to adapt and thus be better prepared for subsequent events. Agent success with adaptation is also found to be sensitive to the costs involved, and these varying degrees of adaptation success are quantified using three parameters of adaptation success.
C1 [Sengupta, Shubhankar; Bouwer, Laurens M.] Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.
   [Kovalevsky, Dmitry V.] Helmholtz Zentrum Hereon, Inst Coastal Syst Anal & Modeling, Max Planck Str 1, D-21502 Geesthacht, Germany.
   [Scheffran, Jurgen] Univ Hamburg, Inst Geog, Ctr Earth Syst Res & Sustainabil CEN, Res Grp Climate Change & Secur CLISEC, Grindelberg 5-7, D-20144 Hamburg, Germany.
C3 Helmholtz Association; Helmholtz-Zentrum Hereon; Helmholtz Association;
   Helmholtz-Zentrum Hereon; Max Planck Society; University of Hamburg
RP Sengupta, S (corresponding author), Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GERICS, Fischertwiete 1, D-20095 Hamburg, Germany.
EM shubhankar.sengupta@hereon.de; dmitrii.kovalevskii@hereon.de;
   laurens.bouwer@hereon.de; juergen.scheffran@uni-hamburg.de
RI Kovalevsky, Dmitry/K-7994-2012; Sengupta, Shubhankar/KJM-0253-2024;
   Scheffran, Jurgen/M-6876-2019; Bouwer, Laurens/AAV-7628-2021
OI Sengupta, Shubhankar/0009-0003-9498-1574; Scheffran,
   Jurgen/0000-0002-7171-3062; Bouwer, Laurens/0000-0003-3498-2586
FU The authors are grateful for the support provided by members of GERICS
   and members of the CLICCS B3 project "Conflict and Cooperation at the
   Climate-Security Nexus".
FX The authors are grateful for the support provided by members of GERICS
   and members of the CLICCS B3 project "Conflict and Cooperation at the
   Climate-Security Nexus".
CR BenDor T.K., 2018, AGENT BASED MODELING, P333
   Dawson RJ, 2011, NAT HAZARDS, V59, P167, DOI 10.1007/s11069-011-9745-4
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fox-Kemper B., 2021, Climate Change 2021: The Physical Science Basis, DOI DOI 10.1017/9781009157896.011.1212
   Garner G., IPCC AR6 WGI SEA LEV
   Jevrejeva S, 2016, P NATL ACAD SCI USA, V113, P13342, DOI 10.1073/pnas.1605312113
   Jonkman SN, 2013, J COASTAL RES, V29, P1212, DOI 10.2112/JCOASTRES-D-12-00230.1
   Kind JM, 2014, J FLOOD RISK MANAG, V7, P103, DOI 10.1111/jfr3.12026
   Kopp R.E., PREPRINTS
   Kron W, 2019, WATER POLICY, V21, P449, DOI 10.2166/wp.2019.023
   Sakoda JM, 1971, J. Math. Sociol., V1, P119
   SCHELLING TC, 1971, J MATH SOCIOL, V1, P143, DOI 10.1080/0022250X.1971.9989794
   Taberna A., 2020, Social-Environmental Systems Modeling, DOI DOI 10.18174/SESMO.2020A17938
   UNPD Department of Economic and Social Affairs and Population Division, 2019, WORLD URB PROSP 2018
   Vrijling JK, 1998, RELIAB ENG SYST SAFE, V59, P141, DOI 10.1016/S0951-8320(97)00135-X
   Yang LE, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2020036
   Yang LE, 2018, ENVIRON MODEL ASSESS, V23, P369, DOI 10.1007/s10666-018-9597-3
NR 17
TC 1
Z9 1
U1 4
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2413-8851
J9 URBAN SCI
JI Urban Sci.
PD SEP
PY 2023
VL 7
IS 3
AR 79
DI 10.3390/urbansci7030079
PG 27
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 S6VX6
UT WOS:001072536000001
OA gold
DA 2025-01-10
ER

PT J
AU Yu, WH
   Nakisa, B
   Ali, E
   Loke, SW
   Stevanovic, S
   Guo, YM
AF Yu, Wenhua
   Nakisa, Bahareh
   Ali, Emran
   Loke, Seng W.
   Stevanovic, Svetlana
   Guo, Yuming
TI Sensor-based indoor air temperature prediction using deep ensemble
   machine learning: An Australian urban environment case study
SO URBAN CLIMATE
LA English
DT Article
DE Deep ensemble machine learning; Indoor temperature; Low-cost air quality
   sensors; Urban environment; Australia
ID ARTIFICIAL NEURAL-NETWORKS; HUMIDITY; HEALTH
AB Accurate prediction of indoor temperature is critical for climate change adaptation and occupant health. The aim of this study is to investigate an improved deep ensemble machine learning framework (DEML), by adjusting the model architecture with several machine learning (ML) and deep learning (DL) approaches to forecast the sensor-based indoor temperature in the Australian urban environment. We collected ambient station-based temperatures, satellite-based outdoor climate characteristics, and low-cost sensor-based indoor environmental metrics from 96 devices from August 2019 to November 2022, and established DEML with a rolling windows approach to assess the prediction stability over time. The DEML model was compared with several benchmark models, including Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGboost), Long-short term memory (LSTM), and Super Learner model (SL). A total of 13,715 days [median: 341 days; IQR (the interquartile range): 221-977 days] of low-cost sensorbased indoor temperature were included in 25 commercial and residential buildings across eight cities. The prediction performance of DEML was superior to the other five benchmark models in most of the sensors [coefficients of determination (R2) of 0.861-0.990 and root mean square error (RMSE) of 0.125-0.886 degrees C], followed by RF and SL algorithms. DEML consistently achieved high accuracy across different climate zones, seasons, and building types, which could be used as a crucial tool for optimizing energy use, maintaining occupant comfort and health, and adapting to the impacts of climate change.
C1 [Yu, Wenhua; Guo, Yuming] Monash Univ, Sch Publ Hlth & Prevent Med, Climate Air Qual Res Unit, Level 2,553 St Kilda Rd, Melbourne, Vic 3004, Australia.
   [Nakisa, Bahareh; Ali, Emran; Loke, Seng W.] Deakin Univ, Fac Sci Engn & Built Environm, Sch IT, Burwood, Vic, Australia.
   [Stevanovic, Svetlana] Deakin Univ, Sch Engn, Waurn Ponds, Vic 3216, Australia.
C3 Monash University; Deakin University; Deakin University
RP Yu, WH; 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 wenhua.yu@monash.edu; yuming.guo@monash.edu
RI Nakisa, Bahareh/IXD-6590-2023; Loke, Seng/X-6392-2018; YU,
   Wenhua/ABI-2704-2020; Guo, Yuming/I-8353-2018
OI Stevanovic, Svetlana/0000-0002-9472-0169; Ali,
   Emran/0000-0003-3095-5265; Guo, Yuming/0000-0002-1766-6592
FU Australian Research Council [DP210102076]; Australian Medical Research
   Future Fund [2015916]; Australian National Health and Medical Research
   Council [APP2000581, APP1163693, APP2008813]; Monash Graduate
   Scholarship; Monash International Tuition Scholarship
FX YG was supported by Australian Research Council (grant number
   DP210102076) , the Australian Medical Research Future Fund (grant number
   2015916) , the Australian National Health and Medical Research Council
   (grant number APP2000581) , Career Development Fellowship (award number
   APP1163693) , and Leader Fellowship of the Australian National Health
   and Medical Research Council (award number APP2008813) . WY was
   supported by Monash Graduate Scholarship, Monash International Tuition
   Scholarship. We appreciate Tingting Ye from the School of Public Health
   and Preventive Medicine, Monash University for assisting in the
   improvement of figures.
CR Aguilera JJ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16224349
   Alpaydin E., 2020, Introduction to Machine Learning
   Attoue N, 2018, ENERGIES, V11, DOI 10.3390/en11020395
   Australian Building Codes Board, 2021, Climate Zone Map Australia
   Bambrick HJ, 2011, ASIA-PAC J PUBLIC HE, V23, p67S, DOI 10.1177/1010539510391774
   Bishop C. M., 2006, Pattern recognition and machine learning, V4
   Cai J., 2019, HUMIDITY CALCULATE W
   Di Q, 2019, ENVIRON INT, V130, DOI 10.1016/j.envint.2019.104909
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Enescu D, 2017, RENEW SUST ENERG REV, V79, P1353, DOI 10.1016/j.rser.2017.05.175
   Fang Z, 2021, ENERG BUILDINGS, V245, DOI 10.1016/j.enbuild.2021.111053
   Flood I, 2004, J COMPUT CIVIL ENG, V18, P207, DOI 10.1061/(ASCE)0887-3801(2004)18:3(207)
   Foucquier A, 2013, RENEW SUST ENERG REV, V23, P272, DOI 10.1016/j.rser.2013.03.004
   Haase J, 2016, IEEE INTL CONF IND I, P1065, DOI 10.1109/INDIN.2016.7819322
   Habermann Christian, 2007, Computational Economics, V30, P153, DOI 10.1007/s10614-007-9092-4
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   Huang LL, 2020, OPT FIBER TECHNOL, V55, DOI 10.1016/j.yofte.2020.102149
   Inoue A, 2017, J ECONOMETRICS, V196, P55, DOI 10.1016/j.jeconom.2016.03.006
   Karevan Z, 2020, NEURAL NETWORKS, V125, P1, DOI 10.1016/j.neunet.2019.12.030
   Klepeis NE, 2001, J EXPO ANAL ENV EPID, V11, P231, DOI 10.1038/sj.jea.7500165
   Kreuzer D, 2020, MACH LEARN APPL, V2, DOI 10.1016/j.mlwa.2020.100007
   Lomas KJ, 2017, BUILD RES INF, V45, P1, DOI 10.1080/09613218.2017.1256136
   Mavrogianni A, 2017, BUILD RES INF, V45, P119, DOI 10.1080/09613218.2016.1208431
   Mohandes SR, 2019, NEUROCOMPUTING, V340, P55, DOI 10.1016/j.neucom.2019.02.040
   Nguyen JL, 2014, INDOOR AIR, V24, P103, DOI 10.1111/ina.12052
   Pandey K, 2023, FACILITIES, V41, P81, DOI 10.1108/F-04-2022-0063
   Pozevalkin V., 2021, P IOP C SERIES MAT S, V1061
   Sakka A, 2012, ENERG BUILDINGS, V49, P69, DOI 10.1016/j.enbuild.2012.01.023
   Tamerius JD, 2013, WEATHER CLIM SOC, V5, P168, DOI 10.1175/WCAS-D-12-00030.1
   Tham S, 2020, PUBLIC HEALTH, V179, P9, DOI 10.1016/j.puhe.2019.09.005
   The Bureau of Meteorology Australia, 2020, State of the Climate 2020
   World Health Organization, 2018, WHO housing and health guidelines
   Young Steven, 2018, Advances in Artificial Intelligence. 31st Canadian Conference on Artificial Intelligence, Canadian AI 2018. Proceedings: LNAI 10832, P84, DOI 10.1007/978-3-319-89656-4_7
   Yu WH, 2023, LANCET PLANET HEALTH, V7, DOI 10.1016/S2542-5196(23)00008-6
   Yu WH, 2022, ENVIRON HEALTH PERSP, V130, DOI 10.1289/EHP9752
   Yu WH, 2021, URBAN CLIM, V39, DOI 10.1016/j.uclim.2021.100948
   Zhang Y, 2022, ENG REP, V4, DOI 10.1002/eng2.12486
   Zhao Q, 2021, LANCET PLANET HEALTH, V5, pE415, DOI 10.1016/S2542-5196(21)00081-4
   Zhou Z, 2012, Ensemble Methods: Foundations and Algorithms, DOI DOI 10.1201/B12207
NR 39
TC 8
Z9 8
U1 11
U2 31
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2023
VL 51
AR 101599
DI 10.1016/j.uclim.2023.101599
EA JUL 2023
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA Q9RN8
UT WOS:001060817600001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bourne, AR
   Bruce, J
   Guthrie, MM
   Koh, L
   Parker, K
   Mastrantonis, S
   Veljanoski, I
AF Bourne, Amanda R.
   Bruce, John
   Guthrie, Meredith M.
   Koh, Li-Ann
   Parker, Kaylene
   Mastrantonis, Stanley
   Veljanoski, Igor
TI Identifying areas of high drought risk in southwest Western Australia
SO NATURAL HAZARDS
LA English
DT Article
DE Multi-criteria analysis; Climate vulnerability assessment; Participatory
   mapping; Future drought fund; Regional drought resilience planning;
   Decision support tool
ID CLIMATE-CHANGE ADAPTATION; MULTICRITERIA DECISION-ANALYSIS;
   ECOSYSTEM-BASED ADAPTATION; CHANGE IMPACTS; DIGITAL INEQUALITIES;
   MILLENNIUM DROUGHT; ECONOMIC-IMPACTS; WHEAT PRODUCTION; VULNERABILITY;
   MANAGEMENT
AB Drought is a significant natural hazard in Australia, associated with financial hardship and damage to soils and vegetation. With droughts expected to become more frequent and more severe as climate change progresses, it is increasingly important to identify drought risk and assess community-level drought resilience at the appropriate spatial, temporal and administrative scale for decision-making. Here, we have used spatial multi-criteria analysis (MCA) to identify regional priority areas for the implementation of drought resilience interventions or investment in southwest Western Australia (WA). The MCA method involves the systematic integration of spatial data of different magnitudes and units through standardisation and weighting, and the visualisation of aggregated data to a single parameter output map. The study region is home to the WA grains industry, the largest agricultural contributor to the economy and one of the regions most impacted by climate change in Australia to date, experiencing consistent reduction in rainfall and recurrent drought over the last several decades. We modelled drought exposure, sensitivity and adaptive capacity for the region, incorporating spatially explicit climate, environmental, social and economic data, and produced a suite of priority areas maps that were sense-checked against a participatory mapping process. The maps highlight the northern and eastern Wheatbelt of WA as areas at high risk from drought and have the potential to serve as a powerful tool for local-level drought resilience decision-making. Most of the data we used are publicly available, and the vulnerability framework applied allows for wide replication within and beyond southwest WA.
C1 [Bourne, Amanda R.] Northern Agr Catchments Council Nat Resource Manag, 114 Sanford St, Geraldton, WA 6530, Australia.
   [Bourne, Amanda R.] Australian Wildlife Conservancy, 322 Hay St, Subiaco, WA 6008, Australia.
   [Bruce, John; Guthrie, Meredith M.; Koh, Li-Ann; Veljanoski, Igor] Dept Primary Ind & Reg Dev, 140 William St, Perth, WA 6000, Australia.
   [Parker, Kaylene] Great Southern Dev Commiss, 110 Serpentine Rd, Albany, WA 6331, Australia.
   [Mastrantonis, Stanley] Univ Western Australia, Sch Agr & Environm, 35 Stirling Highway, Crawley, WA 6009, Australia.
C3 Australian Wildlife Conservancy; Department of Primary Industries &
   Regional Development NSW; University of Western Australia
RP Bourne, AR (corresponding author), Northern Agr Catchments Council Nat Resource Manag, 114 Sanford St, Geraldton, WA 6530, Australia.; Bourne, AR (corresponding author), Australian Wildlife Conservancy, 322 Hay St, Subiaco, WA 6008, Australia.
EM abourne.uct@gmail.com
OI Mastrantonis, Stanley/0000-0001-7185-6840
FU DPIRD, through - from the Australian Government's Future Drought Fund
FX This project was supported by DPIRD, through funding from the Australian
   Government's Future Drought Fund.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahmadalipour A, 2018, SCI TOTAL ENVIRON, V644, P520, DOI 10.1016/j.scitotenv.2018.07.023
   Ajibade FO, 2019, ENVIRON SUSTAIN IND, V3-4, DOI 10.1016/j.indic.2019.100010
   Aldum N, 2014, REG ENVIRON CHANGE, V14, P401, DOI 10.1007/s10113-013-0501-z
   Ali R, 2012, J HYDROL, V475, P456, DOI 10.1016/j.jhydrol.2012.04.043
   Alston M., 2004, Social Impacts of Drought
   Alston M., 2007, Australian Social Work, V60, P421, DOI 10.1080/03124070701671149
   [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]
   Archer ERM, 2008, GEOGRAPHY, V93, P98
   Auld T.D., 2015, Australasian Plant Conservation, V24, P3
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Azadi H, 2018, INT J DISAST RISK RE, V31, P184, DOI 10.1016/j.ijdrr.2018.05.003
   Barron O, 2012, J HYDROL, V434, P95, DOI 10.1016/j.jhydrol.2012.02.028
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Baudoin MA, 2017, REG ENVIRON CHANGE, V17, P691, DOI 10.1007/s10113-016-1061-9
   Berman JD, 2017, LANCET PLANET HEALTH, V1, pE17, DOI [10.1016/S2542-5196(17)30002-5, 10.1016/s2542-5196(17)30002-5]
   BOM (Australian Bureau of Meteorology), 2022, DROUGHT KNOWL CTR UN
   Born L, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100231
   Botterill LC, 2021, RANGELAND J, V43, P77, DOI 10.1071/RJ20065
   Bourne A, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155235
   Bourne AR., 2017, ENHANCING ADAPTATION, P63
   Bowen MK, 2021, RANGELAND J, V43, P67, DOI 10.1071/RJ20058
   Brown PR, 2010, AGR SYST, V103, P562, DOI 10.1016/j.agsy.2010.06.004
   Caball R, 2019, INT J DISAST RISK RE, V34, P387, DOI 10.1016/j.ijdrr.2018.12.008
   Cadag JRD, 2012, AREA, V44, P100, DOI 10.1111/j.1475-4762.2011.01065.x
   da Silva JMC, 2020, ENVIRON SUSTAIN IND, V8, DOI 10.1016/j.indic.2020.100061
   Carnie TL, 2011, AUST J RURAL HEALTH, V19, P244, DOI 10.1111/j.1440-1584.2011.01224.x
   Carrao H, 2016, GLOBAL ENVIRON CHANG, V39, P108, DOI 10.1016/j.gloenvcha.2016.04.012
   Casey S, 2022, COMMUNITY DEV, V53, P196, DOI 10.1080/15575330.2021.1972017
   Chakhar S., 2008, ENCY GIS, P978
   Chancellor W, 2021, FOOD POLICY, V102, DOI 10.1016/j.foodpol.2021.102091
   Chandio IA, 2013, ARAB J GEOSCI, V6, P3059, DOI 10.1007/s12517-012-0568-8
   Chen C, 2020, SCI TOTAL ENVIRON, V737, DOI 10.1016/j.scitotenv.2020.139707
   Coelli R, 2021, NATURAL RESOURCE MAN
   Cohen I, 2021, PHYSIOL PLANTARUM, V171, P66, DOI 10.1111/ppl.13203
   Colloff MJ, 2016, CLIMATIC CHANGE, V138, P267, DOI 10.1007/s10584-016-1724-z
   DAFF (Department of Agriculture Forestry and Fisheries), 2023, CLIM SERV AGR
   de Sherbinin A, 2014, CLIMATIC CHANGE, V123, P23, DOI 10.1007/s10584-013-0900-7
   Dey R, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.577
   Dietz KJ, 2021, PLANT BIOLOGY, V23, P881, DOI 10.1111/plb.13304
   Ding Y, 2011, DISASTER PREV MANAG, V20, P434, DOI 10.1108/09653561111161752
   DPIRD (Department of Primary Industries and Regional Development), 2021, REG DROUGHT RES PLAN
   Dunne A, 2023, NAT HAZARDS, V115, P839, DOI 10.1007/s11069-022-05576-5
   Duxbury L., 2014, CLIMATE CHANGE ADAPT
   Ecotones & Associates, 2014, BIOD PRIOR BIOS MOD
   Ecotones & Associates, 2015, CORR CLIM CHANG MCAS
   Edwards B, 2019, AUST J SOC ISSUES, V54, P22, DOI 10.1002/ajs4.52
   Egoh B, 2008, AGR ECOSYST ENVIRON, V127, P135, DOI 10.1016/j.agee.2008.03.013
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Fagerholm N, 2021, INT J GEOGR INF SCI, V35, P1848, DOI 10.1080/13658816.2020.1869747
   Filiberto D, 2009, GENERATIONS, V33, P19
   Fletcher AL, 2020, CLIMATIC CHANGE, V159, P347, DOI 10.1007/s10584-020-02666-w
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Frumkin H, 2012, AM J PUBLIC HEALTH, V102, P1434, DOI 10.2105/AJPH.2012.300663
   Hamann M, 2015, GLOBAL ENVIRON CHANG, V34, P218, DOI 10.1016/j.gloenvcha.2015.07.008
   Hanigan IC, 2012, P NATL ACAD SCI USA, V109, P13950, DOI 10.1073/pnas.1112965109
   Henry BK, 2018, ANIMAL, V12, pS445, DOI 10.1017/S1751731118001301
   Holness SD, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.1029
   Hoque M, 2021, SENSORS-BASEL, V21, DOI 10.3390/s21206896
   Hoque MAA, 2021, SCI TOTAL ENVIRON, V756, DOI 10.1016/j.scitotenv.2020.143600
   Hughes N, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100420
   Hughes N., 2019, FARMPREDICT MICROSIM
   Hughes N, 2020, MEASURING DROUGHT RI
   Hughes N, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03356-5
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Iacona GD, 2018, CONSERV BIOL, V32, P979, DOI 10.1111/cobi.13195
   Jaeger WK, 2019, NAT SUSTAIN, V2, P710, DOI 10.1038/s41893-019-0326-y
   Jiao T, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005145
   Joerin F., 2000, International Transactions in Operational Research, V7, P67, DOI 10.1111/j.1475-3995.2000.tb00185.x
   Jones HP, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0233005
   Kasecker TP, 2018, MITIG ADAPT STRAT GL, V23, P981, DOI 10.1007/s11027-017-9768-6
   Kiem AS, 2013, GLOBAL ENVIRON CHANG, V23, P1307, DOI 10.1016/j.gloenvcha.2013.06.003
   Kingwell R, 2020, AGR SYST, V181, DOI 10.1016/j.agsy.2020.102827
   Kingwell R, 2015, AUST FARM BUS MANAG, V12, P32
   Kingwell RS, 2017, AUST J AGR RESOUR EC, V61, P344, DOI 10.1111/1467-8489.12195
   Kirono DGC, 2020, WEATHER CLIM EXTREME, V30, DOI 10.1016/j.wace.2020.100280
   Lavorel S, 2019, ENVIRON SCI POLICY, V92, P87, DOI 10.1016/j.envsci.2018.11.010
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Lawes RA, 2012, AGR SYST, V106, P94, DOI 10.1016/j.agsy.2011.10.006
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lockwood M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07203-200137
   Ludwig F, 2006, AGR SYST, V90, P159, DOI 10.1016/j.agsy.2005.12.002
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Malczewski J, 2018, COMPREHENSIVE GEOGRAPHIC INFORMATION SYSTEMS, VOL 1: GIS METHODS AND TECHNIQUES, P197
   Marchau V.A. W. J., 2019, Decision making under deep uncertainty: From theory to practice, P1, DOI [DOI 10.1007/978-3-030-05252-2_1, DOI 10.1007/978-3-030-05252-2]
   MCAS-S Development Partnership, 2018, MULT AN SHELL SPAT D
   Mcfarlane Don, 2020, Journal of the Royal Society of Western Australia, V103, P9
   McFarlane D, 2012, J HYDROL, V475, P488, DOI 10.1016/j.jhydrol.2012.05.038
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Morgan L, 2008, CLIMATE CHANGE VULNE
   Mukheibir P, 2013, CLIMATIC CHANGE, V121, P271, DOI 10.1007/s10584-013-0880-7
   Mukherjee S, 2018, CURR CLIM CHANGE REP, V4, P145, DOI 10.1007/s40641-018-0098-x
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Nasrollahi M, 2018, ARAB J GEOSCI, V11, DOI 10.1007/s12517-018-3971-y
   Nautiyal H., 2021, METHODS SUSTAINABILI, P27, DOI DOI 10.1016/B978-0-12-823987-2.00017-9
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Nelson R., 2007, POTENTIAL MAP ADAPTI
   Nelson R, 2007, AUST J AGR RES, V58, P1004, DOI 10.1071/AR06195
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Park S, 2017, J RURAL STUD, V54, P399, DOI 10.1016/j.jrurstud.2015.12.018
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Paton Douglas., 2001, An International Journal, V10, P270, DOI [DOI 10.1108/EUM0000000005930, https://doi.org/10.1108/EUM0000000005930, DOI 10.1108/EUM0000]
   Philip L, 2019, J RURAL STUD, V68, P306, DOI 10.1016/j.jrurstud.2018.09.011
   Phillips-Wren G, 2020, J DECIS SYST, V29, P213, DOI 10.1080/12460125.2020.1768680
   Polain JD, 2011, AUST J RURAL HEALTH, V19, P239, DOI 10.1111/j.1440-1584.2011.01219.x
   Ray R. L., 2018, Agricultural and Environmental Letters, V3, P170037
   Reid H., 2016, Climate and Development, V8, P4
   Rich JL, 2018, LOCAL ENVIRON, V23, P1141, DOI 10.1080/13549839.2018.1532986
   Rickards Lauren, 2013, Proceedings of the Royal Society of Victoria, V125, P34
   Riddlesden D, 2014, APPL GEOGR, V52, P25, DOI 10.1016/j.apgeog.2014.04.008
   Rose DC, 2019, LAND USE POLICY, V81, P834, DOI 10.1016/j.landusepol.2018.11.001
   Ryan S., 2019, Multi-criteria decision analysis and GIS
   Scanlon TT, 2020, CROP PASTURE SCI, V71, P128, DOI 10.1071/CP19294
   Silberstein RP, 2012, J HYDROL, V475, P441, DOI 10.1016/j.jhydrol.2012.02.009
   Stenekes N., 2012, Revised Indicators of Community Vulnerability and Adaptive Capacity Across the Murray-Darling Basin: a Focus on Irrigation in Agriculture
   Stenekes N, 2022, 2215 ABARES
   Sudmeyer R.A., 2016, Climate change: impacts and adaptation for agriculture in Western Australia, Bulletin 4870
   Sugg M, 2020, CLIMATIC CHANGE, V162, P1177, DOI 10.1007/s10584-020-02848-6
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tozer P, 2013, RANGELAND J, V35, P131, DOI 10.1071/RJ12085
   Uy Pham Duc, 2008, Urban Forestry & Urban Greening, V7, P25, DOI 10.1016/j.ufug.2007.09.002
   Uzzell DL, 2000, J ENVIRON PSYCHOL, V20, P307, DOI 10.1006/jevp.2000.0175
   van Dijk AIJM, 2013, WATER RESOUR RES, V49, P1040, DOI 10.1002/wrcr.20123
   Van Loon AF, 2015, WIRES WATER, V2, P359, DOI 10.1002/wat2.1085
   Vicente-Serrano SM, 2020, EARTH-SCI REV, V201, DOI 10.1016/j.earscirev.2019.102953
   Vicente-Serrano SM, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.632
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Wang B, 2018, GLOBAL CHANGE BIOL, V24, P2403, DOI 10.1111/gcb.14034
   Wang XH, 2004, LANDSCAPE URBAN PLAN, V66, P61, DOI 10.1016/S0169-2046(03)00095-1
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   Wittwer G., 2002, AUSTR B LABOUR, V28, P231
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Yihdego Y, 2019, ARAB J GEOSCI, V12, DOI 10.1007/s12517-019-4237-z
   Zargar A, 2011, ENVIRON REV, V19, P333, DOI [10.1139/A11-013, 10.1139/a11-013]
NR 136
TC 3
Z9 3
U1 1
U2 20
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 SEP
PY 2023
VL 118
IS 2
BP 1361
EP 1385
DI 10.1007/s11069-023-06065-z
EA JUN 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 GN7F3
UT WOS:001010091800001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Paraskevopoulou, AT
   Ntoulas, N
   Bourtsoukli, D
   Bertsouklis, K
AF Paraskevopoulou, Angeliki T.
   Ntoulas, Nikolaos
   Bourtsoukli, Dionysia
   Bertsouklis, Konstantinos
TI Effect of Seawater Irrigation on <i>Arthrocnemum macrostachyum</i>
   Growing in Extensive Green Roof Systems under Semi-Arid Mediterranean
   Climatic Conditions
SO AGRONOMY-BASEL
LA English
DT Article
DE halophyte; salt-tolerant; plant ground cover; salinity; growth index;
   urban horticulture
ID SALT STIMULATION; GROWTH; TOLERANCE; PHOTOSYNTHESIS; GROUNDWATER;
   HALOPHYTE; SALINITY; STRESS
AB The effects of climate change in coastal semi-arid and arid Mediterranean areas are intense. Green roofs planted with native plant species that are able to withstand saline conditions can contribute to supporting climate-change adaptation and species preservation in wetlands, enhancing the character of local landscapes and reducing disaster risk. Considering the limited availability of water resources, there is increasing interest in the use of seawater for irrigation, particularly near coastal areas. The growth of a native Mediterranean halophyte, Arthrocnemum macrostachyum, on a simulated extensive green roof system with six different irrigation treatments with or without seawater for 97 days is presented. The irrigation treatments included tap water every 4 or 8 days, seawater every 4 or 8 days, and seawater alternated with tap water every 4 or 8 days. The plants' growth indices, heights, ground-cover surface areas, and relative shoot water content, as well as the electrical conductivity of the green roof's substrate leachates (ECL), were measured at regular intervals. Overall, the plants irrigated with tap water every 4 days and the plants irrigated with seawater alternated with tap water every 4 days showed the greatest growth amongst the different irrigation treatments, while the plants irrigated with seawater or seawater alternated with tap water every 8 days showed the least growth. Furthermore, the plants irrigated with tap water every 8 days or seawater every 4 days showed intermediate growth. To conserve water, irrigation with seawater alternated with tap water every 4 days is proposed. To further conserve water, irrigation every 4 days with seawater only is also proposed.
C1 [Paraskevopoulou, Angeliki T.; Ntoulas, Nikolaos; Bourtsoukli, Dionysia; Bertsouklis, Konstantinos] Agr Univ Athens, Sch Plant Sci, Dept Crop Sci, Lab Floriculture & Landscape Architecture, Iera Odos 75, Athens 11855, Greece.
C3 Agricultural University of Athens
RP Paraskevopoulou, AT (corresponding author), Agr Univ Athens, Sch Plant Sci, Dept Crop Sci, Lab Floriculture & Landscape Architecture, Iera Odos 75, Athens 11855, Greece.
EM aparas@aua.gr; ntoulas@aua.gr; dionusia_bou@hotmail.com; kber@aua.gr
RI Ntoulas, Nikolaos/T-5937-2019; BERTSOUKLIS, KONSTANTINOS/ABD-9922-2020
OI BERTSOUKLIS, KONSTANTINOS/0000-0001-9783-2070; Ntoulas,
   Nikolaos/0000-0001-7908-8057
CR Allen R.G., 1998, FAO Irrig. Drain. Pap., V56, P300, DOI DOI 10.1016/S0141-1187(05)80058-6
   Amaratunga D., 2023, LECT NOTES CIVIL ENG, P147, DOI [10.1007/978-981-19-4715-5_9, DOI 10.1007/978-981-19-4715-5_9]
   [Anonymous], 2012, NATL GAZETTE 0111
   [Anonymous], 2005, Groundwater Hydrology
   [Anonymous], The Plant List
   Aronson J. A., 1988, Arid lands: today and tomorrow., P737
   Ashraf M., 2008, SALINITY WATER STRES, DOI [10.1007/978-1-4020-9065-3, DOI 10.1007/978-1-4020-9065-3]
   Ayers R.S., 1985, WATER QUALITY AGR, P174
   Bajji M, 1998, PLANT SCI, V137, P131, DOI 10.1016/S0168-9452(98)00116-2
   Bedford Barbara L., 2001, P781
   Ben Amor N, 2020, RUSS J PLANT PHYSL+, V67, P507, DOI 10.1134/S1021443720030048
   Blum A, 2018, J EXP BOT, V69, P975, DOI 10.1093/jxb/erx445
   Blum A, 2014, FUNCT PLANT BIOL, V41, P1191, DOI 10.1071/FP14018
   Chaves MM, 2002, ANN BOT-LONDON, V89, P907, DOI 10.1093/aob/mcf105
   Dazy J, 1997, ENVIRON GEOL, V31, P133, DOI 10.1007/s002540050172
   Depietri Y, 2017, THEOR PRACT URB SUST, P91, DOI 10.1007/978-3-319-56091-5_6
   Dunnett N., 2004, PLANTING GREEN ROOFS, P254
   EC, 2015, EU RES INN POL AG FI
   EU Europe's Seas and Coasts, 2020, EUR SEAS COASTS
   FLL, 2008, GUID PLANN EX UPK GR
   Flowers TJ, 2008, NEW PHYTOL, V179, P945, DOI 10.1111/j.1469-8137.2008.02531.x
   FLOWERS TJ, 1986, Q REV BIOL, V61, P313, DOI 10.1086/415032
   Fritz M, 2017, THEOR PRACT URB SUST, P159, DOI 10.1007/978-3-319-56091-5_10
   Geetha S, 2022, B CHEM SOC ETHIOPIA, V36, P241, DOI 10.4314/bcse.v36i2.1
   González L, 2001, HANDBOOK OF PLANT ECOPHYSIOLOGY TECHNIQUES, P207
   Grigore M. N., 2012, Notulae Scientia Biologicae, V4, P23
   Grigore M.-N., 2021, Handbook of Halophytes, P3
   Grigore MN, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12020221
   Guesdon G, 2016, ENVIRON SCI POLLUT R, V23, P19634, DOI 10.1007/s11356-016-7176-1
   Hameed A., 2011, Karachi University Journal of Science, V39, P40
   Handreck K.A., 1994, GROWING MEDIA ORNAME, P448
   Hanin M, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01787
   Harrouni M.C., 2003, CASH CROP HALOPHYTES
   Hermides D, 2020, ENVIRON MONIT ASSESS, V192, DOI 10.1007/s10661-020-08491-z
   IERSD-NOA, 2022, DAIL HIST CLIM DAT T
   Joshi R., 2015, ELUCIDATION ABIOTIC, V2, P243, DOI DOI 10.1007/978-1-4939-2540-7_9
   Khan MA, 2005, J PLANT NUTR, V28, P1365, DOI 10.1081/PLN-200067462
   Liberalesso T, 2020, LAND USE POLICY, V96, DOI 10.1016/j.landusepol.2020.104693
   Lombardi T, 2022, HORTICULTURAE, V8, DOI 10.3390/horticulturae8030195
   MacIvor JS, 2011, ANN BOT-LONDON, V107, P671, DOI 10.1093/aob/mcr007
   Ntoulas N, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11020250
   Ntoulas N, 2017, URBAN FOR URBAN GREE, V26, P163, DOI 10.1016/j.ufug.2017.03.005
   Ntoulas N, 2017, CROP SCI, V57, pS147, DOI 10.2135/cropsci2016.05.0381
   Obon C., 2021, Handbook of halophytes, P2707, DOI [10.1007/978-3-030-57635-6_107, DOI 10.1007/978-3-030-57635-6_107]
   Papafotiou M, 2013, HORTSCIENCE, V48, P1327, DOI 10.21273/HORTSCI.48.10.1327
   Paraskevopoulou A, 2015, AGRIC AGRIC SCI PROC, V4, P242, DOI 10.1016/j.aaspro.2015.03.028
   Paraskevopoulou AT, 2021, ECOL ENG, V165, DOI 10.1016/j.ecoleng.2021.106223
   Paraskevopoulou AT, 2020, WATER-SUI, V12, DOI 10.3390/w12030863
   Pauleit S, 2017, THEOR PRACT URB SUST, P29, DOI 10.1007/978-3-319-56091-5_3
   Raimondo F, 2015, AOB PLANTS, V7, DOI 10.1093/aobpla/plv007
   Ranjbar G, 2022, ENVIRON SCI POLLUT R, V29, P47800, DOI 10.1007/s11356-022-19089-y
   Redondo-Gómez S, 2010, PLANT BIOLOGY, V12, P79, DOI 10.1111/j.1438-8677.2009.00207.x
   Rueden CT, 2017, BMC BIOINFORMATICS, V18, DOI 10.1186/s12859-017-1934-z
   SADEK LA, 1995, J ARID ENVIRON, V31, P67, DOI 10.1006/jare.1995.0049
   Salt-Tolerant Plants, SALT TOL PLANTS EHAL
   Santos J, 2016, PLANT CELL PHYSIOL, V57, DOI 10.1093/pcp/pcv155
   Savarani S., 2019, REV GREEN ROOF LAWS
   Sigel A., 2016, ALKALI METAL IONS TH, P628
   Sisay TA, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12081749
   Trotta A, 2012, J PLANT PHYSIOL, V169, P111, DOI 10.1016/j.jplph.2011.11.001
   Tutin T., 2010, Flora Europaea, V2nd
   Ventura Y, 2011, SCI HORTIC-AMSTERDAM, V128, P189, DOI 10.1016/j.scienta.2011.02.001
   Vicente MJ, 2009, ARID LAND RES MANAG, V23, P103, DOI 10.1080/15324980902813559
   Waisel Y., 1972, PHYSL ECOLOGY SERIES
   Webb P., 2017, INTRO OCEANOGRAPHY O
   Wolf D, 2008, ECOL ENG, V33, P179, DOI 10.1016/j.ecoleng.2008.02.008
   [夏孟婧 Xia Mengjing], 2012, [生态学报, Acta Ecologica Sinica], V32, P6599
NR 67
TC 4
Z9 4
U1 2
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD APR 24
PY 2023
VL 13
IS 5
AR 1198
DI 10.3390/agronomy13051198
PG 19
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA H3CQ7
UT WOS:000994784000001
OA gold
DA 2025-01-10
ER

PT J
AU Lanza, KV
   Alcazar, M
   Durand, CP
   Salvo, D
   Villa, U
   Kohl, HW III
AF Lanza, Kevin
   Alcazar, Melody
   Durand, Casey P.
   Salvo, Deborah
   Villa, Umberto
   Kohl III, Harold W.
TI Heat-Resilient Schoolyards: Relations Between Temperature, Shade, and
   Physical Activity of Children During Recess
SO JOURNAL OF PHYSICAL ACTIVITY & HEALTH
LA English
DT Article
DE climate change adaptation; urban tree canopy; shade sail structures;
   green schoolyards; low-income; Latino
ID STUDENTS
AB Background: Extreme heat may discourage physical activity of children while shade may provide thermal comfort. The authors determined the associations between ambient temperature, shade, and moderate to vigorous physical activity (MVPA) of children during school recess. Methods: Children aged 8-10 (n = 213) wore accelerometers and global positioning system monitors during recess at 3 school parks in Austin, Texas (September-November 2019). Weather data originated from 10 sensors per park. The authors calculated shade from imagery using a geographic information system (GIS) and time-matched physical activity, location, temperature, and shade data. The authors specified piecewise multilevel regression to assess relations between average temperature and percentage of recess time in MVPA and shade. Results: Temperature ranged 11 degrees C to 35 degrees C. Each 1 degrees C higher temperature was associated with a 0.7 percentage point lower time spent in MVPA, until 33 degrees C (91 degrees F) when the association changed to a 1.5 lower time (P < .01). Each 1 degrees C higher temperature was associated with a 0.3 percentage point higher time spent under shade, until 33 degrees C when the association changed to a 3.4 higher time (P < .001). At 33 degrees C or above, the direct association between shade and MVPA weakened (P < .05), with no interaction effect above 33 degrees C (P > .05). Children at the park with the most tree canopy spent 6.0 percentage points more time in MVPA (P < .01). Conclusions: Children engage in less MVPA and seek shade during extreme heat and engage in more MVPA in green schoolyards. With climate change, schools should consider interventions (eg, organizing shaded play, tree planting) to promote heat safe MVPA.
C1 [Lanza, Kevin; Kohl III, Harold W.] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Austin, Dept Epidemiol Human Genet & Environm Sci, Austin, TX 78712 USA.
   [Alcazar, Melody] Pk & Recreat Dept, Austin, TX USA.
   [Durand, Casey P.] Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Houston, Dept Hlth Promot & Behav Sci, Austin, TX USA.
   [Salvo, Deborah] Washington Univ St Louis, Prevent Res Ctr, Brown Sch People, Hlth & Pl Unit, St Louis, MO USA.
   [Villa, Umberto] Washington Univ St Louis, McKelvey Sch Engn, Dept Elect & Syst Engn, St Louis, MO USA.
   [Kohl III, Harold W.] Univ Texas Austin, Dept Kinesiol & Hlth Educ, Austin, TX USA.
C3 University of Texas System; University of Texas Health Science Center
   Houston; University of Texas System; University of Texas Health Science
   Center Houston; Washington University (WUSTL); Washington University
   (WUSTL); University of Texas System; University of Texas Austin
RP Lanza, KV (corresponding author), Univ Texas Hlth Sci Ctr Houston, Sch Publ Hlth Austin, Dept Epidemiol Human Genet & Environm Sci, Austin, TX 78712 USA.
EM Kevin.L.Lanza@uth.tmc.edu
RI Villa, Umberto/AAI-8499-2021; Lanza, Kevin/ABD-8011-2020
OI Lanza, Kevin/0000-0002-5259-6745; Villa, Umberto/0000-0002-5142-2559
FU Robert Wood Johnson Foundation [76576]
FX Acknowledgment This work was supported by the Robert Wood Johnson
   Foundation (grant number 76576) .
CR Andersen HB, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2019.103617
   Austin Independent School District, REC REC POL AUST ISD
   Austin Independent School District, 2019, AISD TEMP GUID
   BARANOWSKI T, 1993, RES Q EXERCISE SPORT, V64, P127, DOI 10.1080/02701367.1993.10608789
   Bernard P, 2021, SPORTS MED, V51, P1041, DOI 10.1007/s40279-021-01439-4
   Borghese MM, 2019, CAN J PUBLIC HEALTH, V110, P178, DOI 10.17269/s41997-018-0157-z
   Carroll ML, 2016, EARTH SYST SCI DATA, V8, P415, DOI 10.5194/essd-8-415-2016
   Chawla L, 2015, J PLAN LIT, V30, P433, DOI 10.1177/0885412215595441
   Chi DK, 2022, ENVIRON HEALTH PERSP, V130, DOI 10.1289/EHP9924
   Child and Adolescent Health Measurement Initiative, 2022, 2019 2020 NAT SURV C
   Christian H, 2019, INT J PUBLIC HEALTH, V64, P1325, DOI 10.1007/s00038-019-01289-y
   City of Austin, 2019, GIS GAP ANAL CITIES
   Dankiw KA, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229006
   Delidou E, 2016, EUR PHYS EDUC REV, V22, P215, DOI 10.1177/1356336X15598790
   Dobbinson S, 2014, HEALTH PLACE, V26, P136, DOI 10.1016/j.healthplace.2013.12.007
   Dyment JanetE., 2007, Children's Geographies, V5, P463, DOI DOI 10.1080/14733280701631965
   Erwin H, 2012, J PHYS ACT HEALTH, V9, P442, DOI 10.1123/jpah.9.3.442
   Evenson KR, 2008, J SPORT SCI, V26, P1557, DOI 10.1080/02640410802334196
   Grubenhoff JA, 2007, CLIN PEDIATR EMERG M, V8, P59, DOI 10.1016/j.cpem.2007.02.006
   Guthold R, 2020, LANCET CHILD ADOLESC, V4, P23, DOI 10.1016/S2352-4642(19)30323-2
   Guthold R, 2018, LANCET GLOB HEALTH, V6, pE1077, DOI [10.1016/S2214-109X(18)30357-7, 10.1016/s2214-109x(18)30357-7]
   Harrison F, 2017, INT J BEHAV NUTR PHY, V14, DOI 10.1186/s12966-017-0526-7
   Hayhoe K., 2018, Chapter 2: our changing climate. impacts, risks, and adaptation in the United States: The fourth national climate assessment, VII
   Lanza K, 2022, INT J BIOMETEOROL, V66, P1575, DOI 10.1007/s00484-022-02302-5
   Lanza K, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-020-10128-2
   Lanza K, 2019, PREV MED, V121, P55, DOI 10.1016/j.ypmed.2019.01.022
   Mallen E, 2020, URBAN CLIM, V32, DOI 10.1016/j.uclim.2020.100640
   Massey WV, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-08849-5
   Moogk-Soulis C, 2002, 5 CAN URB FOR C
   Parmehr EG, 2016, URBAN FOR URBAN GREE, V20, P160, DOI 10.1016/j.ufug.2016.08.011
   Parrish AM, 2020, SPORTS MED, V50, P2145, DOI 10.1007/s40279-020-01347-z
   Piercy KL, 2018, JAMA-J AM MED ASSOC, V320, P2020, DOI 10.1001/jama.2018.14854
   Poulos A, 2022, INT J BEHAV NUTR PHY, V19, DOI 10.1186/s12966-022-01355-4
   Raney MA, 2019, AM J PREV MED, V56, P522, DOI 10.1016/j.amepre.2018.11.004
   Remmers T, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16173116
   Ridgers ND, 2010, INT J BEHAV NUTR PHY, V7, DOI 10.1186/1479-5868-7-74
   Ridgers ND, 2015, INT J BEHAV NUTR PHY, V12, DOI 10.1186/s12966-015-0245-x
   Ridgers ND, 2012, AM J PREV MED, V43, P320, DOI 10.1016/j.amepre.2012.05.019
   Robinson PJ, 2001, J APPL METEOROL, V40, P762, DOI 10.1175/1520-0450(2001)040<0762:OTDOAH>2.0.CO;2
   Schneider S, 2020, INT J ENVIRON HEAL R, V30, P26, DOI 10.1080/09603123.2019.1572105
   Schulman Alexis, 2008, Urban Ecosystems, V11, P65, DOI 10.1007/s11252-007-0037-4
   Shortridge A, 2022, CLIM RISK MANAG, V36, DOI 10.1016/j.crm.2022.100437
   Smith TT, 2013, CLIMATIC CHANGE, V118, P811, DOI 10.1007/s10584-012-0659-2
   Stone B Jr, 2023, J PLAN EDUC RES, V43, P346, DOI 10.1177/0739456X19879214
   Szeszulski J, 2021, J PHYS ACT HEALTH, V18, P310, DOI 10.1123/jpah.2020-0603
   Telama R, 2014, MED SCI SPORT EXER, V46, P955, DOI 10.1249/MSS.0000000000000181
   Tucker P, 2007, CAN J PUBLIC HEALTH, V98, P198, DOI 10.1007/BF03403712
   US Centers for Disease Control and Prevention, REC
   US Department of Agriculture, 2022, DIR DAT NAIP DOWNL G
   US National Oceanic and Atmospheric Administration, 2021, US CLIM NORM QUICK A
   Vanos JK, 2017, BUILD ENVIRON, V126, P119, DOI 10.1016/j.buildenv.2017.09.026
   Wheeler BW, 2010, PREV MED, V51, P148, DOI 10.1016/j.ypmed.2010.06.001
   World Health Organization, Physical Activity
   World Health Organization, 2018, Global Action Plan on Physical Activity 20182030: More Active People for a Healthier World
NR 54
TC 14
Z9 14
U1 10
U2 18
PU HUMAN KINETICS PUBL INC
PI CHAMPAIGN
PA 1607 N MARKET ST, PO BOX 5076, CHAMPAIGN, IL 61820-2200 USA
SN 1543-3080
EI 1543-5474
J9 J PHYS ACT HEALTH
JI J. Phys. Act. Health
PD FEB
PY 2023
VL 20
IS 2
BP 134
EP 141
DI 10.1123/jpah.2022-0405
PG 8
WC Public, Environmental & Occupational Health
WE Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA I6YS9
UT WOS:001004227600005
PM 36640783
OA Bronze
DA 2025-01-10
ER

PT J
AU Gold, DF
   Reed, PM
   Gorelick, DE
   Characklis, GW
AF Gold, David F.
   Reed, Patrick M.
   Gorelick, David E.
   Characklis, Gregory W.
TI Power and Pathways: Exploring Robustness, Cooperative Stability, and
   Power Relationships in Regional Infrastructure Investment and Water
   Supply Management Portfolio Pathways
SO EARTHS FUTURE
LA English
DT Article
DE deep uncertainty; adaptive planning; multi-actor systems; exploratory
   modeling; robustness; sustainable transitions
ID CLIMATE-CHANGE ADAPTATION; DECISION-MAKING; OPTIMIZATION; RESOURCES;
   RISK; UNCERTAINTY; OPTIMALITY; STRATEGIES; TRADEOFFS; SCENARIOS
AB Cooperative management of natural resources is a key component of a transition to a sustainable society and urban water supply planning is a prime example. Regional cooperation among urban water utilities is a powerful mechanism for improving supply reliability and financial stability in urban water supply systems. Through coordinated drought mitigation and joint infrastructure investment, water utilities can efficiently exploit existing water supplies and reduce or delay the need for new supply infrastructure. However, cooperative water management brings new challenges for planning and implementation. The benefits of cooperation may not be uniformly distributed across cooperating partners, resulting in the "instability" of cooperative compromises. Further, cooperation may add new vulnerabilities for each partner by imbuing their cooperating partners with the power to impact their performance through policy actions. Power imbalances stemming from these vulnerabilities can lead to conflict between cooperating partners that destabilize otherwise robust planning alternatives. This work contributes a new exploratory modeling centered framework for assessing cooperative stability and mapping power relationships in cooperative infrastructure investment and water supply management policies. Our framework uses multi-objective optimization as an exploratory tool to discover how cooperating partners may be incentivized to defect from robust regional water supply partnerships and identifies how the actions of each regional partner shape the vulnerability of its cooperating partners. Our methodology is demonstrated on the Sedento Valley, a highly challenging hypothetical regional urban water supply benchmarking problem. Our results reveal complex regional power relationships between the region's cooperating partners and suggest ways to improve cooperative stability.
C1 [Gold, David F.; Reed, Patrick M.] Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA.
   [Gorelick, David E.; Characklis, Gregory W.] Univ N Carolina, Ctr Financial Risk Environm Syst, Gillings Sch Global Publ Hlth, Chapel Hill, NC 27515 USA.
   [Gorelick, David E.; Characklis, Gregory W.] Univ N Carolina, UNC Inst Environm, Chapel Hill, NC 27515 USA.
   [Gorelick, David E.; Characklis, Gregory W.] Univ N Carolina, Gillings Sch Global Publ Hlth, Dept Environm Sci & Engn, Chapel Hill, NC 27515 USA.
C3 Cornell University; University of North Carolina; University of North
   Carolina Chapel Hill; University of North Carolina; University of North
   Carolina Chapel Hill; University of North Carolina; University of North
   Carolina Chapel Hill
RP Gold, DF (corresponding author), Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA.
EM dfg42@cornell.edu
RI Gold, David/AAS-2902-2021; Reed, Patrick/E-4435-2014
OI Reed, Patrick/0000-0002-7963-6102; Gold, David/0000-0002-0854-1819;
   Gorelick, David/0000-0002-3078-6716
FU National Science Foundation [ACI-1548562]
FX This work used the Extreme Science and Engineering Discovery Environment
   (XSEDE), which is supported by National Science Foundation grant number
   ACI-1548562. Regional and individual optimizations were carried out on
   Stampede2 at the Texas Advanced Computing center through XSEDE
   allocation TG-EAR090013. Deep uncertain re-evaluation was conducted on
   Comet at the San Diego Super Computing Center through XSEDE allocation
   TG-EAR090013. The authors would like to thank the two anonymous
   reviewers and the editorial team for helping us improve the clarity and
   contribution of this study.
CR AghaKouchak A, 2021, REV GEOPHYS, V59, DOI 10.1029/2019RG000683
   [Anonymous], 1974, Int. Econ. Rev, DOI DOI 10.2307/2526099
   ASCE, 2021, 2021 US DRINK WAT IN
   Avelino F, 2021, J POLITICAL POWER, V14, P425, DOI 10.1080/2158379X.2021.1875307
   Avelino F, 2011, J CLEAN PROD, V19, P796, DOI 10.1016/j.jclepro.2010.11.012
   Avelino F, 2009, EUR J SOC THEORY, V12, P543, DOI 10.1177/1368431009349830
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   BEECHER JA, 1997, WATER INT, V22, P54
   Beecher JA, 2013, INT REV APPL ECON, V27, P150, DOI 10.1080/02692171.2012.752447
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Ben-Haim Y., 2006, Academic, DOI DOI 10.1016/B978-0-12-373552-2.X5000-0
   Borgomeo E, 2016, WATER RESOUR RES, V52, P622, DOI 10.1002/2015WR018164
   Brams SJ, 2001, GROUP DECIS NEGOT, V10, P287, DOI 10.1023/A:1011252808608
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Bryant BP, 2010, TECHNOL FORECAST SOC, V77, P34, DOI 10.1016/j.techfore.2009.08.002
   Cai XM, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000510
   Caldwell C, 2014, J WATER RES PLAN MAN, V140, P100, DOI 10.1061/(ASCE)WR.1943-5452.0000317
   Chapman T., 2016, U.S. public finance waterworks, sanitary sewer
   Characklis GW, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004424
   Dedekorkut A., 2005, Tampa bay water wars: From conflict to collaboration? Adaptive Governance and Water Conflict, P52
   Dinar A, 1997, J ENVIRON MANAGE, V49, P183, DOI 10.1006/jema.1995.0088
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   Drucker H, 1996, ADV NEUR IN, V8, P479
   EPA, 2017, Water System Partnerships: State Programs and Policies Supporting Cooperative Approaches for Drinking Water Systems
   Erfani T, 2018, WATER RESOUR RES, V54, P5069, DOI 10.1029/2017WR021803
   Friedman JH, 1999, STAT COMPUT, V9, P123, DOI 10.1023/A:1008894516817
   Frone S., 2008, Romanian Journal of Economics, V27, P185
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gleick PH, 2002, NATURE, V418, P373, DOI 10.1038/418373a
   Gold DF, 2019, WATER RESOUR RES, V55, P9024, DOI 10.1029/2019WR025462
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Groves DG., 2019, Decision making under deep uncertainty: From theory to practice, P135, DOI DOI 10.1007/978-3-030-05252-2_7
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hadka D, 2013, EVOL COMPUT, V21, P231, DOI 10.1162/EVCO_a_00075
   HAMMOND PJ, 1976, ECONOMETRICA, V44, P793, DOI 10.2307/1913445
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   Helgeson C, 2020, TOPOI-INT REV PHILOS, V39, P257, DOI 10.1007/s11245-018-9584-y
   Herman JD, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000509
   Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338
   Housh M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13063152
   Hughes J.Leurig., 2013, ASSESSING WATER SYST
   Insoll M., 2017, Fitch Outlines Approach to Capturing Environmental, Social and Governance Risk in Credit Ratings
   Jenkins MW, 2000, J WATER RES PL-ASCE, V126, P288, DOI 10.1061/(ASCE)0733-9496(2000)126:5(288)
   Kasprzyk JR, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR008121
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Keim DA, 2002, IEEE T VIS COMPUT GR, V8, P1, DOI 10.1109/2945.981847
   Kirsch BR, 2013, J WATER RES PLAN MAN, V139, P396, DOI 10.1061/(ASCE)WR.1943-5452.0000287
   Kurki V, 2016, PUBLIC WORKS MANAG P, V21, P368, DOI 10.1177/1087724X16629962
   Kwakkel JH, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000626
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   Lempert RJ, 2002, P NATL ACAD SCI USA, V99, P7309, DOI 10.1073/pnas.082081699
   Lempert RJ, 2007, RISK ANAL, V27, P1009, DOI 10.1111/j.1539-6924.2007.00940.x
   Loh WY, 2011, WIRES DATA MIN KNOWL, V1, P14, DOI 10.1002/widm.8
   Lund JR, 2006, J WATER RES PLAN MAN, V132, P399, DOI 10.1061/(ASCE)0733-9496(2006)132:6(399)
   Madani K., 2011, Proceeding of the 2011 International Conference on Environmental Science and Engineering, P192
   Madani K, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010849
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Majone G., 1980, PITFALLS ANAL, V8, DOI [10.1016/0305-0483(80)90019-5, DOI 10.1016/0305-0483(80)90019-5]
   Marcos-Garcia P, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125251
   Matrosov ES, 2013, WATER RESOUR MANAG, V27, P1123, DOI 10.1007/s11269-012-0118-x
   Moallemi EA, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102186
   Mortazavi-Naeini M, 2014, WATER RESOUR RES, V50, P4624, DOI 10.1002/2013WR014569
   Norouzi KK, 2020, WATER RESOUR MANAG, V34, P3585, DOI 10.1007/s11269-020-02637-x
   Okuji K., 2017, Evaluating the impacts of climate change on US state and local issuers
   Parrachino I., 2006, Cooperative game theory and its application to natural, environmental, and water resource issues
   Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
   Popper S.W., 2019, Decision Making Under Deep Uncertainty: From Theory to Practice
   Quinn JD, 2018, WATER RESOUR RES, V54, P4638, DOI 10.1029/2018WR022743
   Quinn JD, 2017, WATER RESOUR RES, V53, P7208, DOI 10.1002/2017WR020524
   Rawls J., 1971, THEORY JUSTICE
   Ray PA, 2012, J WATER RES PLAN MAN, V138, P403, DOI 10.1061/(ASCE)WR.1943-5452.0000172
   Read L, 2014, J ENVIRON MANAGE, V133, P343, DOI 10.1016/j.jenvman.2013.11.045
   Reedy KA, 2012, J AM WATER WORKS ASS, V104, P17, DOI 10.5942/jawwa.2012.104.0100
   Riggs E., 2019, CRAFTING INTERLOCAL
   SAVAGE LJ, 1951, J AM STAT ASSOC, V46, P55, DOI 10.2307/2280094
   Savelli E, 2021, J HYDROL, V594, DOI 10.1016/j.jhydrol.2020.125953
   Shapley LS, 1954, AM POLIT SCI REV, V48, P787, DOI 10.2307/1951053
   Sjostrand K., 2017, Sustainability and Water Supply Governance - A Literature Review on Regional Water Governance, Multi-Criteria Decision Analysis, Cost-
   Starr M.K., 1963, Product design and decision theory, Prentice-Hall series in engineering design
   Teasley RL, 2011, J WATER RES PLAN MAN, V137, P481, DOI 10.1061/(ASCE)WR.1943-5452.0000141
   Towns J, 2014, COMPUT SCI ENG, V16, P62, DOI 10.1109/MCSE.2014.80
   Trindade BC, 2020, ENVIRON MODELL SOFTW, V132, DOI 10.1016/j.envsoft.2020.104772
   Trindade BC, 2019, ADV WATER RESOUR, V134, DOI 10.1016/j.advwatres.2019.103442
   Trindade BC, 2017, ADV WATER RESOUR, V104, P195, DOI 10.1016/j.advwatres.2017.03.023
   Tsoukiàs A, 2008, EUR J OPER RES, V187, P138, DOI 10.1016/j.ejor.2007.02.039
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Wasley E., 2020, Mapping Climate Exposure and Climate Information Needs to Water Utility Business Functions (No. 4729A)
   Wheeler KG, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19089-x
   Williams J., 2017, How Environmental And Climate Risks and Opportunities Factor Into Global Corporate Ratings-An Update
   Woodruff MJ, 2013, STRUCT MULTIDISCIP O, V48, P201, DOI 10.1007/s00158-013-0891-z
   Wu X, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004238
   Zeff HB, 2016, WATER RESOUR RES, V52, P7327, DOI 10.1002/2016WR018771
   Zeff HB, 2014, WATER RESOUR RES, V50, P4906, DOI 10.1002/2013WR015126
   Zeff HB, 2013, WATER RESOUR RES, V49, P4939, DOI 10.1002/wrcr.20364
   ZELENY M, 1981, INTERFACES, V11, P101, DOI 10.1287/inte.11.5.101
NR 95
TC 15
Z9 15
U1 2
U2 12
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 2328-4277
J9 EARTHS FUTURE
JI Earth Future
PD FEB
PY 2022
VL 10
IS 2
AR e2021EF002472
DI 10.1029/2021EF002472
PG 30
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA ZL1XA
UT WOS:000763473200015
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Xu, PF
   Zhu, XL
   Tian, HS
   Zhao, GX
   Chi, YX
   Jia, BL
   Zhang, J
AF Xu, Pengfei
   Zhu, Xiaoling
   Tian, Huashang
   Zhao, Guangxu
   Chi, Yuxia
   Jia, Baolei
   Zhang, Jie
TI The broad application and mechanism of humic acids for treating
   environmental pollutants: Insights from bibliometric analysis
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Humic substances; Literature analysis; Organic pollutants; Heavy metals;
   Environmental remediation
ID NATURAL ORGANIC-MATTER; MOLECULAR-WEIGHT; AQUEOUS-SOLUTION; BIOMASS
   ENERGY; SOIL; SUBSTANCES; ADSORPTION; REMOVAL; BINDING; FLUORESCENCE
AB Humic acids (HAs) are macromolecular substances that play important roles in different areas of soil, atmosphere, water, and ecological environment restoration. Here, we applied bibliometric analysis to systematically evaluate HAs applications in the environmental field. In-depth analysis of the publication characteristics of 9145 articles published from 1980 to 2020 revealed that the number of articles published on HAs increased rapidly, with China having the largest number of publications (3109), followed by the United States (1949) and Germany (679). Specifically, the Chinese Academy of Sciences had the largest number of publications (647) and was the center of the most productive institutional cooperation network. HAs applications and mechanisms for treating organic pollutants and heavy metals are important research topics in the environmental field. HAs could reduce the toxicity of a variety of organic pollutants or eliminate pollutants through photodegradation and adsorption. These pollutants include antibiotics, herbicides pesticides, fungicides, and other phenolic compounds. Additionally, HAs might be also used to treat heavy metal pollutants, such as mercury, copper, cadmium, uranium, and aluminum. HAs could adsorb heavy metals, thereby reducing their mobility in the environment and toxicity. HAs also have the potential to degrade microplastics and contribute to climate change adaptation. However, bibliometric analysis showed that the molecular structure of HAs remains unclear, thereby limiting clarification of mechanisms and further applications for decontamination. These findings highlight the interaction between HAs and the environment and offer critical insight to support further development of HAs for environmental applications.
C1 [Xu, Pengfei; Tian, Huashang; Zhao, Guangxu; Chi, Yuxia; Jia, Baolei; Zhang, Jie] Qilu Univ Technol, Sch Bioengn, State Key Lab Biobased Mat & Green Papermaking, Shandong Acad Sci, Jinan, Peoples R China.
   [Zhu, Xiaoling] Shandong Acad Agr Sci, Jinan, Peoples R China.
   [Jia, Baolei] Chung Ang Univ, Dept Life Sci, Seoul, South Korea.
C3 Qilu University of Technology; Shandong Academy of Agricultural
   Sciences; Chung Ang University
RP Jia, BL; Zhang, J (corresponding author), Qilu Univ Technol, Sch Bioengn, State Key Lab Biobased Mat & Green Papermaking, Shandong Acad Sci, Jinan, Peoples R China.
EM baoleijia@cau.ac.kr; zhangjie@qlu.edu.cn
RI Luo, Yingxiu/HTN-5361-2023; Xu, Pengfei/JJE-9122-2023; Jia,
   Baolei/JJD-8913-2023
OI , Jie/0000-0003-1553-5043; Jia, Baolei/0000-0001-6434-5604; Xu,
   Pengfei/0000-0002-9299-3446
FU Foundation of Natural Science Foundation of Shandong Province
   [ZR2020KE038]; Shandong Province Agricultural Major Application
   Technology Innovation Project [20182130106]; Foundation of Qilu
   University of Technology of Cultivating Subject for Biology and
   Biochemistry [202019]
FX This research was funded by the Foundation of Natural Science Foundation
   of Shandong Province (Grant no. ZR2020KE038), Shandong Province
   Agricultural Major Application Technology Innovation Project (Grant
   no.20182130106), the Foundation of Qilu University of Technology of
   Cultivating Subject for Biology and Biochemistry (Grant no. 202019). We
   would like to thank Editage (www.editage.cn) for English language
   editing.
CR Arif M, 2019, IRAN J VET RES, V20, P167
   Barnie S, 2021, ENVIRON SCI POLLUT R, V28, P38985, DOI 10.1007/s11356-021-13519-z
   Bialk HM, 2008, ENVIRON SCI TECHNOL, V42, P106, DOI 10.1021/es070779d
   Bondareva L, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11020198
   Campitelli PA, 2006, TALANTA, V69, P1234, DOI 10.1016/j.talanta.2005.12.048
   Cao ZG, 2019, ENVIRON SCI TECHNOL, V53, P14700, DOI 10.1021/acs.est.9b04757
   Chen W, 2003, ENVIRON SCI TECHNOL, V37, P5701, DOI 10.1021/es034354c
   Chianese S, 2020, MOLECULES, V25, DOI 10.3390/molecules25040918
   Chien SWC, 2007, J AGR FOOD CHEM, V55, P4820, DOI 10.1021/jf070021d
   CHIN YP, 1994, ENVIRON SCI TECHNOL, V28, P1853, DOI 10.1021/es00060a015
   Christl I, 2016, ENVIRON SCI TECHNOL, V50, P9933, DOI 10.1021/acs.est.5b04693
   Coble PG, 1996, MAR CHEM, V51, P325, DOI 10.1016/0304-4203(95)00062-3
   Das T, 2013, J INDIAN CHEM SOC, V90, P2007
   Deng CH, 2021, MATERIALS, V14, DOI 10.3390/ma14185125
   Deng Y, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121398
   Dercová K, 2007, CHEMOSPHERE, V66, P783, DOI 10.1016/j.chemosphere.2006.06.061
   Pimenta HCD, 2021, CORP SOC RESP ENV MA, V28, P1870, DOI 10.1002/csr.2165
   DiDonato N, 2016, GEOCHIM COSMOCHIM AC, V178, P210, DOI 10.1016/j.gca.2016.01.013
   Dong YM, 2020, ENVIRON SCI-PROC IMP, V22, P2388, DOI [10.1039/D0EM00324G, 10.1039/d0em00324g]
   Dou S, 2020, PEDOSPHERE, V30, P159, DOI 10.1016/S1002-0160(20)60001-7
   Du Q, 2020, J HAZARD MATER, V389, DOI 10.1016/j.jhazmat.2020.122115
   Du Q, 2020, J HAZARD MATER, V383, DOI 10.1016/j.jhazmat.2019.121170
   Duraia ESM, 2019, SENSOR ACTUAT B-CHEM, V280, P210, DOI 10.1016/j.snb.2018.10.054
   Pham DM, 2021, CHEMOSPHERE, V269, DOI 10.1016/j.chemosphere.2020.128697
   Ferrie RP, 2017, APPL SPECTROSC, V71, P2512, DOI 10.1177/0003702817715655
   FRIMMEL FH, 1987, TRENDS ECOL EVOL, V2, P326, DOI 10.1016/0169-5347(87)90107-8
   Fujita Y, 1996, WATER ENVIRON RES, V68, P867, DOI 10.2175/106143096X127866
   de Melo BAG, 2016, MAT SCI ENG C-MATER, V62, P967, DOI 10.1016/j.msec.2015.12.001
   González-Pérez JA, 2014, J ANAL APPL PYROL, V109, P1, DOI 10.1016/j.jaap.2014.07.005
   GU BH, 1994, ENVIRON SCI TECHNOL, V28, P38, DOI 10.1021/es00050a007
   Harvey G.R., 1985, Humic substances in Soil, Sediment, and Water, P233
   Islam MA, 2020, SEP PURIF TECHNOL, V247, DOI 10.1016/j.seppur.2020.116949
   Iubel JPG, 2021, WATER SCI TECHNOL, V84, P1557, DOI 10.2166/wst.2021.351
   Iwamura T, 2020, ANAL SCI, V36, P627, DOI 10.2116/analsci.19SBN04
   Jiang WJ, 2014, ENVIRON SCI TECHNOL, V48, P8078, DOI 10.1021/es405804m
   Johnson D, 2015, J MEMBRANE SCI, V484, P35, DOI 10.1016/j.memsci.2015.03.018
   Johnson JMF, 2004, SOIL SCI SOC AM J, V68, P139, DOI 10.2136/sssaj2004.1390
   Keiluweit M, 2009, ENVIRON SCI TECHNOL, V43, P3421, DOI 10.1021/es8033044
   KHALIFA SM, 1989, ISOTOPENPRAXIS, V25, P335, DOI 10.1080/10256018908624146
   Khatami S, 2019, J ENVIRON QUAL, V48, P1565, DOI 10.2134/jeq2019.01.0034
   Klik B, 2021, J CLEAN PROD, V311, DOI 10.1016/j.jclepro.2021.127664
   Kretzschmar R, 1997, SOIL SCI SOC AM J, V61, P101, DOI 10.2136/sssaj1997.03615995006100010016x
   Kulikova NA, 2021, MOLECULES, V26, DOI 10.3390/molecules26092706
   Kushwaha A, 2020, INT J ENVIRON SCI TE, V17, P1325, DOI 10.1007/s13762-019-02411-6
   Lan YB, 2021, J ENVIRON MANAGE, V296, DOI 10.1016/j.jenvman.2021.113340
   Lee JH, 2011, CHEMOSPHERE, V85, P1383, DOI 10.1016/j.chemosphere.2011.08.003
   Lehmann J, 2015, NATURE, V528, P60, DOI 10.1038/nature16069
   Li CL, 2019, ENVIRON EARTH SCI, V78, DOI 10.1007/s12665-019-8502-y
   Li S, 2016, J HAZARD MATER, V318, P134, DOI 10.1016/j.jhazmat.2016.05.100
   Liang L, 2017, ENVIRON INT, V103, P99, DOI 10.1016/j.envint.2017.03.011
   Lin YH, 2010, CLEAN-SOIL AIR WATER, V38, P916, DOI 10.1002/clen.201000034
   Lindström ES, 2000, MICROBIAL ECOL, V40, P104
   Liu JY, 2010, ENVIRON SCI TECHNOL, V44, P2169, DOI 10.1021/es9035557
   Martinez JL, 2009, ENVIRON POLLUT, V157, P2893, DOI 10.1016/j.envpol.2009.05.051
   Manikandan NA, 2016, J ENVIRON ENG, V142, DOI 10.1061/(ASCE)EE.1943-7870.0001099
   Mao GZ, 2018, SCI TOTAL ENVIRON, V635, P1081, DOI 10.1016/j.scitotenv.2018.04.173
   Mao GZ, 2015, RENEW SUST ENERG REV, V52, P1823, DOI 10.1016/j.rser.2015.07.141
   Miao ZH, 2018, ADV HEALTHC MATER, V7, DOI 10.1002/adhm.201701202
   Naghizadeh A, 2018, HEALTH SCOPE, V7, DOI 10.5812/jhealthscope.80338
   NARINE DR, 1982, SOIL SCI, V133, P356, DOI 10.1097/00010694-198206000-00004
   Nebbioso A, 2014, RSC ADV, V4, P23658, DOI 10.1039/c4ra01619j
   Nguyen TH, 2005, ENVIRON SCI TECHNOL, V39, P913, DOI 10.1021/es048839s
   Olk DC, 2018, J SOIL SEDIMENT, V18, P2881, DOI 10.1007/s11368-018-1916-4
   Olu-Owolabi BI, 2010, WATER AIR SOIL POLL, V211, P459, DOI 10.1007/s11270-009-0315-2
   Ou XX, 2007, J AGR FOOD CHEM, V55, P8650, DOI 10.1021/jf0719050
   Pandey AK, 2000, ECOTOX ENVIRON SAFE, V47, P195, DOI 10.1006/eesa.2000.1947
   Petrov D, 2017, ENVIRON SCI TECHNOL, V51, P5414, DOI 10.1021/acs.est.7b00266
   Porras J, 2016, WATER RES, V94, P1, DOI 10.1016/j.watres.2016.02.024
   Rakshit S, 2017, INT J ENVIRON SCI TE, V14, P1497, DOI 10.1007/s13762-017-1263-9
   Rao PH, 2016, WATER AIR SOIL POLL, V227, DOI 10.1007/s11270-016-2832-0
   Rezaei H, 2018, INT J ELECTROCHEM SC, V13, P2379, DOI 10.20964/2018.03.10
   Richardson J, 2018, GLOBAL CHANGE BIOL, V24, P5044, DOI 10.1111/gcb.14396
   Rostami I, 2011, CRIT REV ENV SCI TEC, V41, P623, DOI 10.1080/10643380903044178
   Salvestrini S, 2013, ENVIRON CHEM LETT, V11, P359, DOI 10.1007/s10311-013-0415-5
   Samios S, 2007, DESALINATION, V210, P125, DOI 10.1016/j.desal.2006.05.038
   Sarlaki E, 2019, J CLEAN PROD, V235, P712, DOI 10.1016/j.jclepro.2019.07.028
   Schmidt MWI, 2011, NATURE, V478, P49, DOI 10.1038/nature10386
   Shen YY, 2017, RSC ADV, V7, P9662, DOI 10.1039/c6ra17949e
   Shi WJ, 2018, ECOTOX ENVIRON SAFE, V154, P59, DOI 10.1016/j.ecoenv.2018.02.013
   Stedmon CA, 2008, LIMNOL OCEANOGR-METH, V6, P572, DOI 10.4319/lom.2008.6.572
   Suzuki D, 2020, J HAZARD MATER, V400, DOI 10.1016/j.jhazmat.2020.123079
   Tang J, 2020, WATER RES, V172, DOI 10.1016/j.watres.2020.115477
   Town RM, 2019, ENVIRON SCI TECHNOL, V53, P8516, DOI 10.1021/acs.est.9b00624
   Van Fan Y, 2022, J HAZARD MATER, V424, DOI 10.1016/j.jhazmat.2021.127330
   Vidali R, 2011, WATER AIR SOIL POLL, V218, P487, DOI 10.1007/s11270-010-0662-z
   Wang RZ, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15071458
   Weishaar JL, 2003, ENVIRON SCI TECHNOL, V37, P4702, DOI 10.1021/es030360x
   Wu JY, 2019, ENVIRON POLLUT, V245, P836, DOI 10.1016/j.envpol.2018.11.055
   Xu BL, 2019, ENVIRON POLLUT, V248, P929, DOI 10.1016/j.envpol.2019.02.088
   Xu CB, 2020, J APPL SPECTROSC+, V87, P958, DOI 10.1007/s10812-020-01095-y
   Xu PF, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0238061
   Yang F, 2021, CHEM SOC REV, V50, P6221, DOI 10.1039/d0cs01363c
   Yang F, 2020, ADV SCI, V7, DOI 10.1002/advs.201902992
   Yang F, 2020, PROG POLYM SCI, V100, DOI 10.1016/j.progpolymsci.2019.101182
   Yang F, 2020, LAND DEGRAD DEV, V31, P884, DOI 10.1002/ldr.3486
   Yang T, 2018, ENVIRON SCI POLLUT R, V25, P15873, DOI 10.1007/s11356-018-1836-2
   Zhang GP, 2020, J CLEAN PROD, V273, DOI 10.1016/j.jclepro.2020.122907
   Zhang HB, 2018, ENVIRON POLLUT, V243, P1550, DOI 10.1016/j.envpol.2018.09.122
   Zhang SS, 2020, CHEMOSPHERE, V250, DOI 10.1016/j.chemosphere.2020.126606
   Zhang TY, 2016, CHEMOSPHERE, V144, P940, DOI 10.1016/j.chemosphere.2015.09.074
   Zhang Y, 2010, J HAZARD MATER, V175, P404, DOI 10.1016/j.jhazmat.2009.10.019
   Zhao GX, 2011, ENVIRON SCI TECHNOL, V45, P10454, DOI 10.1021/es203439v
   Zhao SL, 2020, DESALIN WATER TREAT, V175, P115, DOI 10.5004/dwt.2020.24726
   Zhou XD, 2015, SCIENTOMETRICS, V105, P231, DOI 10.1007/s11192-015-1659-6
   Zhu RC, 2018, J MEMBRANE SCI, V563, P531, DOI 10.1016/j.memsci.2018.06.017
   Zhuan R, 2020, SEP PURIF TECHNOL, V234, DOI 10.1016/j.seppur.2019.116079
NR 106
TC 21
Z9 21
U1 23
U2 110
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD FEB 20
PY 2022
VL 337
AR 130510
DI 10.1016/j.jclepro.2022.130510
EA JAN 2022
PG 13
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA 2A6ZP
UT WOS:000809648000004
DA 2025-01-10
ER

PT J
AU Banwell, N
   Law, R
   Mackey, B
   Rutherford, S
AF Banwell, Nicola
   Law, Ronald
   Mackey, Brendan
   Rutherford, Shannon
TI Implementation of national health adaptation policy: a case study of
   policy principles and implementation barriers in the Philippines
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Climate change; Health; Adaptation; Policy; Implementation; Barriers
ID CLIMATE-CHANGE ADAPTATION; EXTREME WEATHER EVENTS; RISKS; GOVERNANCE;
   MANAGEMENT; INSIGHTS; IMPACTS; SCIENCE; CONTEXT
AB Health risks from climate change are increasing and becoming a critical global concern. Implementation of health adaptation policies is vital, particularly in settings with high socioeconomic vulnerability and physical exposure to climate-risks, such as the Philippines. We identified from the literature a set of reference principles and categories of barriers to the implementation of national health adaptation policy. These were then used to assess the extent to which these policy principles and barriers are evident in Philippine national health adaptation. This assessment was undertaken based on data and information from policy analysis, key informant interviews, and an expert workshop. The results suggest that the Philippines have made notable progress on health adaptation by establishing a strong policy framework. However, implementation remains challenging and requires continued commitment. The health adaptation policy principles identified in the Philippines are policy congruence, mainstreaming, multi-sectoral approach, multiscale approach, adaptive management, and evidence-based decision-making. The most important implementation barriers are uncertain leadership, appropriateness and longevity of the governance structures within the Department of Health, and data and evidence. The value of considering policy principles alongside implementation barriers is twofold. First, this enables understanding of how implementation barriers relate directly to policy principles. Second, it facilitates identification of future implementation barriers that may arise in relation to current policy principles. Multi-sectoral governance and the integration of evidence in decision-making arose as potential future challenges in the Philippines. These areas may require special consideration in future policy design and planning.
C1 [Banwell, Nicola] Griffith Univ, Sch Environm, Ctr Environm & Populat Hlth, Brisbane, Qld 4111, Australia.
   [Law, Ronald] Hlth Emergency Management Bur, Dept Hlth, Manila, Philippines.
   [Mackey, Brendan] Griffith Univ, Griffith Climate Act Beacon, Gold Coast, Qld 4222, Australia.
   [Rutherford, Shannon] Griffith Univ, Sch Med, Brisbane, Qld 4111, Australia.
C3 Griffith University; Philippine Department Health; Griffith University;
   Griffith University - Gold Coast Campus; Griffith University
RP Banwell, N (corresponding author), Griffith Univ, Sch Environm, Ctr Environm & Populat Hlth, Brisbane, Qld 4111, Australia.
EM nicola.banwell@gmail.com; ronlawmd@gmail.com; b.mackey@griffith.edu.au;
   s.rutherford@griffith.edu.au
RI Mackey, Brendan/ABE-3805-2020
OI Mackey, Brendan/0000-0003-1996-4064; Rutherford,
   Shannon/0000-0002-5851-2987; Banwell, Nicola/0000-0001-9983-7334
FU Australian Government Endeavour Post Graduate Scholarship
FX This research was partially funded by the Australian Government
   Endeavour Post Graduate Scholarship. The authors would like to thank the
   Health Emergency Management Bureau, Philippines Department of Health for
   their collaboration and support with data collection.
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Ampaire EL, 2017, ENVIRON SCI POLICY, V75, P81, DOI 10.1016/j.envsci.2017.05.013
   [Anonymous], 2018, The Adaptation Gap Report 2018
   [Anonymous], 2016, Qualitative research from start to finish
   [Anonymous], 2011, National climate change action plan 2011-2028
   [Anonymous], 2010, CLIM CHANG STRAT 201
   [Anonymous], 2016, Philippine Climate Change Assessment (PhilCCA): The Physical Science Basis
   Austin SE, 2018, GLOBAL ENVIRON CHANG, V52, P226, DOI 10.1016/j.gloenvcha.2018.07.010
   Austin SE, 2019, SOC SCI MED, V220, P236, DOI 10.1016/j.socscimed.2018.11.002
   Austin SE, 2016, INT J ENV RES PUB HE, V13, DOI 10.3390/ijerph13090889
   Awuor L, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17176338
   Banwell N, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101703
   Banwell N, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040793
   Belesova K, 2016, POLITICS GOV, V4, P87, DOI 10.17645/pag.v4i4.729
   Berrang-Ford L, 2019, NAT CLIM CHANGE, V9, P440, DOI 10.1038/s41558-019-0490-0
   Berry P, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15122626
   Biesbroek R, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab8fd1
   Birkmann J., 2014, WORLD RISK REPORT 20
   Birt L, 2016, QUAL HEALTH RES, V26, P1802, DOI 10.1177/1049732316654870
   Bouzid M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062041
   Bowen KJ, 2015, CURR OPIN ENV SUST, V12, P80, DOI 10.1016/j.cosust.2014.12.001
   Bowen KJ, 2013, CLIM DEV, V5, P277, DOI 10.1080/17565529.2013.833077
   Bowen KJ, 2013, GLOBAL HEALTH ACTION, V6, P1, DOI 10.3402/gha.v6i0.21820
   Bowen KJ, 2012, GLOBALIZATION HEALTH, V8, DOI 10.1186/1744-8603-8-10
   Bowen KJ, 2012, INT J ENV RES PUB HE, V9, P55, DOI 10.3390/ijerph9010055
   Browne J, 2019, HEALTH PROMOT INT, V34, P1032, DOI 10.1093/heapro/day052
   Cinco TA, 2013, P 12 NAT CONV STAT N, P1
   Creswell J. W., 2014, RES DESIGN QUALITATI, V4th, DOI DOI 10.1007/S13398-014-0173-7.2
   Curtis S, 2017, ENVIRON HEALTH-GLOB, V16, P23, DOI 10.1186/s12940-017-0324-3
   Dayrit M, 2018, HLTH SYST T
   De Ceukelaire W, 2011, TROP MED INT HEALTH, V16, P1185, DOI 10.1111/j.1365-3156.2011.02817.x
   Department of Health, 2015, 20155342 DEP HLTH
   Department of Health, 2012, 20120005 DEP HLTH
   Department of Health, 2013, 2014 2016 NAT CLIM C
   Department of Health, 2010, PHIL STRAT CLIM CHAN
   Department of Health, 2016, 20155342 DEP HLTH
   Ebi KL, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15091943
   Ebi KL, 2017, ENVIRON HEALTH PERSP, V125, DOI [10.1289/EHP405, 10.1289/ehp405]
   Ebi KL, 2017, INT J BIOMETEOROL, V61, pS71, DOI 10.1007/s00484-017-1406-1
   Ebi KL, 2015, ANN GLOB HEALTH, V81, P418, DOI 10.1016/j.aogh.2015.07.001
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   Eisenack K, 2014, NAT CLIM CHANGE, V4, P867, DOI 10.1038/NCLIMATE2350
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Fox M, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16183232
   Ganesh C, 2018, AM J PUBLIC HEALTH, V108, pS114, DOI 10.2105/AJPH.2017.304047
   Government of the Philippines, 2015, REP PHIL INT NAT DET
   Government of the Philippines, 2009, NATL CLIMATE CHANGE, V9729
   Guha-Sapir D, 2018, EM DAT CTR RES EPIDE
   Harding J, 2018, QUALITATIVE DATA ANA
   Hashim JH, 2016, ASIA-PAC J PUBLIC HE, V28, p8S, DOI 10.1177/1010539515599030
   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]
   Hess JJ, 2016, ANN NY ACAD SCI, V1382, P21, DOI 10.1111/nyas.13258
   Hess JJ, 2014, ENVIRON HEALTH PERSP, V122, P1177, DOI 10.1289/ehp.1307396
   Hess JJ, 2012, ENVIRON HEALTH PERSP, V120, P171, DOI 10.1289/ehp.1103515
   Homsy GC, 2019, INT J PUBLIC ADMIN, V42, P572, DOI 10.1080/01900692.2018.1491597
   Huang CR, 2011, AM J PREV MED, V40, P183, DOI 10.1016/j.amepre.2010.10.025
   Law RP, 2016, PHILIPP J HLTH RES D, V20, P8
   Lesnikowski AC, 2013, GLOBAL ENVIRON CHANG, V23, P1153, DOI 10.1016/j.gloenvcha.2013.04.008
   Chua PL, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142624
   Marcus H, 2020, INT J HEALTH GOV, V25, P287, DOI 10.1108/IJHG-06-2020-0061
   MDG Achievement Fund, 2012, MDGF1656
   Miles M. B., 2014, Qualitative Data Analysis: A Methods Sourcebook, V4th
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nilsson M, 2018, SUSTAIN SCI, V13, P1489, DOI 10.1007/s11625-018-0604-z
   PAGASA, 2011, CLIM CHANG PHIL
   PCHRD-DOST, 2017, PHIL CTR HLTH RES DE
   PCHRD-DOST, 2017, NAT UN HLTH RES AG 2
   PCHRD-DOST, 2011, NAT UN HLTH RES AG 2
   Piggott-McKellar AE, 2019, LOCAL ENVIRON, V24, P374, DOI 10.1080/13549839.2019.1580688
   QSR International Pty Ltd, 2018, NVivo Qualitative Data Analysis Software (12 Pro)
   Nguyen QA, 2017, CLIM DEV, V9, P258, DOI 10.1080/17565529.2016.1146118
   Racioppi F, 2020, ENV HLTH RES IDENTIF, DOI 10.1093/eurpub/ckaa028
   Shaw R, 2010, COMM ENV DISAST RISK, V5, P1, DOI 10.1108/S2040-7262(2010)0000005007
   Shi PJ, 2016, J GEOGR SCI, V26, P878, DOI 10.1007/s11442-016-1304-1
   Spires M, 2014, CLIM DEV, V6, P277, DOI 10.1080/17565529.2014.886995
   Tong S, 2019, ENVIRON RES, V174, P9, DOI 10.1016/j.envres.2019.04.012
   Tonmoy FN, 2020, ENVIRON SCI POLICY, V108, P1, DOI 10.1016/j.envsci.2020.03.005
   Turner LR, 2013, INT J ENV RES PUB HE, V10, P1139, DOI 10.3390/ijerph10031139
   UNFCCC, 2017, HUM HLTH AD UND CLIM
   United Nations Environment Programme (UNEP), 2020, Emissions gap reportExecutive summary
   Watts N, 2021, LANCET, V397, P129, DOI 10.1016/S0140-6736(20)32290-X
   Watts N, 2019, LANCET, V394, P1836, DOI 10.1016/S0140-6736(19)32596-6
   Watts N, 2018, LANCET, V392, P2479, DOI 10.1016/S0140-6736(18)32594-7
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Watts N, 2015, LANCET, V386, P1861, DOI 10.1016/S0140-6736(15)60854-6
   Wheeler N, 2018, CURR ENV HLTH REP, V5, P170, DOI 10.1007/s40572-018-0187-y
   WHO, 2019, HLTH CLIMATE CHANGE
   WHO, 2015, LESS LEARN HLTH AD
   WHO, 2014, WHO GUID PROT HLTH C
   WHO, 2015, Operational framework for building climate resilient health systems
   Workman A, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040674
   Yumul GP, 2011, DISASTERS, V35, P362, DOI 10.1111/j.1467-7717.2010.01216.x
NR 93
TC 2
Z9 2
U1 0
U2 17
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 93
DI 10.1007/s10113-021-01817-8
PG 17
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UT8RG
UT WOS:000698376800001
DA 2025-01-10
ER

PT J
AU Mirdashtvan, M
   Najafinejad, A
   Malekian, A
   Sa'doddin, A
AF Mirdashtvan, Mahsa
   Najafinejad, Ali
   Malekian, Arash
   Sa'doddin, Amir
TI Sustainable Water Supply and Demand Management in Semi-arid Regions:
   Optimizing Water Resources Allocation Based on RCPs Scenarios
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Climate change; Water allocation; Scenario analysis; Water management;
   Sustainability; Arid and semi-arid regions
ID CLIMATE-CHANGE; ADAPTATION; IMPACTS; CRISIS
AB Climate as one of the key factors in water resources management affects the amount of water in the hydrological cycle, which subsequently impacts the level of water availability. Considering the challenges that the South Alborz Region, Iran is currently facing in supplying water for various consumers; in this study, the climate change adaptation scenarios are investigated for sustainable water supply and demand. This study uses a procedure in which five different adaptation approaches, under RCPs scenarios, were established using the WEAP model to assess the impacts of various adaptation strategies on increasing the balance between water supply and demand over current and 2020s accounts. The findings suggest an imbalance between supply and demand in the current situation with the greatest imbalance in domestic use while the minimum in the industrial sector. The results of assessing adaptive scenarios show that various scenarios have different effects on balancing the water supply and demand by different consumers; on the other hand, the scenarios that directly affect domestic water demand have the greatest effect on minimizing the gap between supply and demand in the region; therefore, the options for decreasing the population demand along with diminishing the losses in the domestic water distribution network are the most effective alternatives for balancing supply and demand under all of the climate scenarios. The findings of this research indicate that adaptive management with the focus on restricting demand helps actively management of water resources in the regions with scarce water resources.
C1 [Mirdashtvan, Mahsa; Najafinejad, Ali; Sa'doddin, Amir] Gorgan Univ Agr Sci & Nat Resources, Dept Watershed Management Engn, Gorgan, Golestan, Iran.
   [Malekian, Arash] Univ Tehran, Dept Rehabil Arid & Mt Areas, Karaj, Iran.
C3 Gorgan University of Agricultural Sciences & Natural Resources;
   University of Tehran
RP Mirdashtvan, M (corresponding author), Gorgan Univ Agr Sci & Nat Resources, Dept Watershed Management Engn, Gorgan, Golestan, Iran.
EM mirdashtevan@ut.ac.ir
RI Najafinejad, Ali/KIG-1732-2024; Mirdashtvan, Mahsa/AAX-9917-2020;
   Malekian, Arash/AAQ-8861-2020
OI najafinejad, Ali/0000-0001-7577-7007
CR Abutaleb KAA, 2018, EARTH SYST ENVIRON, V2, P183, DOI 10.1007/s41748-018-0047-9
   Ahmadaali J, 2018, WATER-SUI, V10, DOI 10.3390/w10020160
   Al-Zubari WK, 2018, CLIM RISK MANAG, V20, P95, DOI 10.1016/j.crm.2018.02.002
   Bagheri A., 2011, ASCE C 4 INT PERSP W
   Berredjem, 2017, MODELLING CURRENT FU, V33, P31
   Carvalho-Santos C, 2017, WATER RESOUR MANAG, V31, P3355, DOI 10.1007/s11269-017-1672-z
   Döll P, 2014, WATER RESOUR RES, V50, P5698, DOI 10.1002/2014WR015595
   Ebadi A. G., 2020, CENT ASIAN J ENV SCI, V1, P1
   Foltz RC, 2002, J AGR ENVIRON ETHIC, V15, P357, DOI 10.1023/A:1021268621490
   Garrote L, 2017, WATER RESOUR MANAG, V31, P2951, DOI 10.1007/s11269-017-1714-6
   Gleick PH, 2014, WOR WATER, V8, P173
   Gohari A, 2017, WATER RESOUR MANAG, V31, P1413, DOI 10.1007/s11269-017-1575-z
   Hojjati M.H., 2010, WORLD ACAD SCI ENG T, V70, P476, DOI DOI 10.1061/JRCEA4.0001137
   Hussen B, 2018, MODEL EARTH SYST ENV, V4, P221, DOI 10.1007/s40808-018-0438-9
   Izady A, 2012, HYDROGEOL J, V20, P435, DOI 10.1007/s10040-011-0814-2
   Jahani HR, 2006, INT WORKSH GROUNDW E, P115
   Kiparsky M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0084946
   Madani K., 2014, J ENVIRON STUD SCI, V4, P315, DOI [10.1007/s13412-014-0182-z, DOI 10.1007/S13412-014-0182-Z]
   Malla MA, 2014, IJMER
   Marin M, 2020, ENVIRON RES, V184, DOI 10.1016/j.envres.2020.109330
   Mehrazar A, 2020, WATER RESOUR MANAG, V34, P3855, DOI 10.1007/s11269-020-02648-8
   Mirdashtvan M, 2018, METEOROL APPL, V25, P414, DOI 10.1002/met.1709
   Osoro G. M., 2018, INT J NATURAL RESOUR, V3, P9, DOI [10.11648/j.ijnrem.20180301.12, DOI 10.11648/J.IJNREM.20180301.12]
   Pahl-Wostl C., 2007, Ecology and Society, V12, P30
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Ravanshadnia M., 2015, J APPL ENVIRON BIOL, V5, P50
   Santikayasa I.P., 2015, MANAGING WATER RESOU, P45
   Saraswat C, 2017, SUSTAIN SCI, V12, P1037, DOI 10.1007/s11625-017-0471-z
   Sarzaeim P, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6834-z
   Sieber J., 2011, WEAP USER GUIDE
   Sieber J., 2013, WATER EVALUATION PLA
   Soltani G, 2008, 15 ERF ANN C C UNPUB, P23
   Vaghefi SA, 2014, HYDROL PROCESS, V28, P2018, DOI 10.1002/hyp.9747
   Voldani F, 2004, WA SCI TECHNOL, V4, P67, DOI 10.2166/ws.2004.0044
   Wang XJ, 2017, MITIG ADAPT STRAT GL, V22, P595, DOI 10.1007/s11027-015-9689-1
   Yang DW, 2021, GEOGR SUSTAIN, V2, P115, DOI 10.1016/j.geosus.2021.05.003
   Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893
NR 37
TC 40
Z9 41
U1 16
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 DEC
PY 2021
VL 35
IS 15
BP 5307
EP 5324
DI 10.1007/s11269-021-03004-0
EA OCT 2021
PG 18
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA WX8YM
UT WOS:000712265500001
DA 2025-01-10
ER

PT J
AU Le, QV
   Cowal, S
   Jovanovic, G
   Le, DT
AF Le, Quan Vu
   Cowal, Sanya
   Jovanovic, Grace
   Le, Don-Thuan
TI A Study of Regenerative Farming Practices and Sustainable Coffee of
   Ethnic Minorities Farmers in the Central Highlands of Vietnam
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE regenerative agriculture; sustainability; coffee production; ethnic
   minority; Central Highlands; Vietnam
ID ORGANIC AGRICULTURE; PRODUCTION SYSTEMS; SHADE TREES; BIODIVERSITY;
   RUST; BIRDS
AB Coffee is highly vulnerable to climate change, thus impacting coffee-dependent livelihoods and economies. As rising temperatures continue to reduce the suitability of many historical coffee-growing regions, some farmers are practicing regenerative, organic coffee farming as a means of climate change mitigation. In the Central Highlands, the primary coffee growing region of Vietnam, conventional sun-grown, monocrop coffee requires intensive inputs, including fertilizers, pesticides and water. However, some farmers are converting their conventional sun farms to organic shade farms utilizing regenerative farming techniques for both environmental and economic reasons. This study examined regenerative farming practices and sustainable coffee in a small ethnic minority village in Lam D`ong province. The comparative analysis between soil samples taken from a regenerative shade-grown coffee farm and two conventional sun-grown coffee farms revealed that the soil of the regenerative farm, enriched with organic manure, is comparable to, or healthier than, the soil on the conventional farms enriched with chemical fertilizers. The results indicate that regenerative farming practices promote biodiversity; however, they also maintain microclimates that promote the growth of Roya fungus, which can decrease coffee yields. The economic analysis of farm costs and net returns found that regenerative farming practices decrease external inputs through a system of crop diversification and integrated livestock production that improves productivity and economic performance while preserving the ecological and environmental integrity of the landscape. Regenerative agriculture is an important step toward climate change adaptation and mitigation; however, in order for the farm communities in the Central Highlands to make the transition to regenerative agriculture, the success factors and benefits of this method must be demonstrated to the coffee farmers.
C1 [Le, Quan Vu] Fulbright Univ Vietnam, Young Southeast Asian Leaders Initiat YSEALI Acad, Ho Chi Minh City, Vietnam.
   [Cowal, Sanya] Univ Calif Santa Cruz, Dept Environm Studies, Social Sci Div, Santa Cruz, CA 95064 USA.
   [Jovanovic, Grace] Seattle Univ, Coll Arts & Sci, Dept Environm Studies, Seattle, WA 98122 USA.
   [Le, Don-Thuan] Seattle Univ, Coll Sci & Engn, Dept Comp Sci, Seattle, WA 98122 USA.
C3 University of California System; University of California Santa Cruz;
   Seattle University; Seattle University
RP Le, QV (corresponding author), Fulbright Univ Vietnam, Young Southeast Asian Leaders Initiat YSEALI Acad, Ho Chi Minh City, Vietnam.
EM quan.le@fulbright.edu.vn
OI Cowal, Sanya/0000-0003-0186-0734
CR Albertin A, 2004, HUM ECOL, V32, P443, DOI 10.1023/B:HUEC.0000043515.84334.76
   [Anonymous], 2008, Soil Quality Indicators
   [Anonymous], 2011, Coffee and climate change. Desk study: impacts of climate change in four pilot countries of the coffee and climate initiative. Hamburg: Coffee and Climate
   Avelino J, 2004, PLANT PATHOL, V53, P541, DOI 10.1111/j.1365-3059.2004.01067.x
   Baca M, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0088463
   BEER J, 1987, AGROFOREST SYST, V5, P3, DOI 10.1007/BF00046410
   Bejan V., 2018, POTENTIAL IMPACTS CL
   Bengtsson J, 2005, J APPL ECOL, V42, P261, DOI 10.1111/j.1365-2664.2005.01005.x
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   Chang CH, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-21401-1
   Elevitch CR, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093337
   Giovannucci D., 2003, STATE SUSTAINABLE CO
   Gobbi JA, 2000, ECOL ECON, V33, P267, DOI 10.1016/S0921-8009(99)00147-0
   Guthman J, 2004, ENVIRON PLANN A, V36, P511, DOI 10.1068/a36104
   Haggar J., 2012, AGR NATURAL RESOURCE, V4, P12
   ICO, 2019, COUNTR COFF PROF
   Johnson MD, 2010, ANIM CONSERV, V13, P140, DOI 10.1111/j.1469-1795.2009.00310.x
   Jovanovic G., 2019, COMP ANAL SUSTAINABL
   Kilian B, 2006, J BUS RES, V59, P322, DOI 10.1016/j.jbusres.2005.09.015
   Kushalappa A C., 1989, Coffee Rust: Epidemiology, Resistance, and Management
   Laderach Peter., 2013, MESOAMERICAN COFFEE
   Le Q, 2019, J MANAGEMENT GLOBAL, V7, P105, DOI [10.13185/jm2019.07105, DOI 10.13185/JM2019.07105]
   Le Quan Le Quan, 2017, World Development Perspectives, V6, P35, DOI 10.1016/j.wdp.2017.05.003
   Ling A.H., 1990, P S
   López-Bravo DF, 2012, CROP PROT, V38, P21, DOI 10.1016/j.cropro.2012.03.011
   McCook S, 2006, J GLOBAL HIST, V1, P177, DOI 10.1017/S174002280600012X
   Méndez VE, 2009, AGROFOREST SYST, V76, P111, DOI 10.1007/s10457-009-9220-3
   Moguel P, 1999, CONSERV BIOL, V13, P11, DOI 10.1046/j.1523-1739.1999.97153.x
   MOGUEL P, 1996, CIENCIA, V43, P50
   Nguyen A.D., 2013, Resour. Environ, V3, P77
   Nunez-Solis M.M., 2021, ROUTLEDGE HDB SUSTAI, P14
   Perfecto I., 2007, SHADED COFFEE STABIL
   Philpott SM, 2008, CONSERV BIOL, V22, P1093, DOI 10.1111/j.1523-1739.2008.01029.x
   PRETTY JN, 1995, REGENERATIVE AGR POL
   Primecoffea, 2019, COUNTR COFF PROF VIE
   Le QV, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031010
   REGANOLD JP, 1990, SCI AM, V262, P112, DOI 10.1038/scientificamerican0690-112
   Regenerative International, 2017, WHAT IS REG AGR
   Riddle J., 2003, INTRO ORGANIC CERTIF
   Scialabba NEH, 2010, RENEW AGR FOOD SYST, V25, P158, DOI 10.1017/S1742170510000116
   Sherwood S, 2000, APPL SOIL ECOL, V15, P85, DOI 10.1016/S0929-1393(00)00074-3
   Soloviev E.R., 2016, Levels of regenerative agriculture
   Soto-Pinto L, 2000, AGR ECOSYST ENVIRON, V80, P61, DOI 10.1016/S0167-8809(00)00134-1
   Ho TQ, 2017, ECON ANAL POLICY, V56, P114, DOI 10.1016/j.eap.2017.09.002
   Van der Vossen HAM, 2005, EXP AGR, V41, P449, DOI 10.1017/S0014479705002863
   van Rikxoort H, 2014, AGRON SUSTAIN DEV, V34, P887, DOI 10.1007/s13593-014-0223-8
   Vandermeer J, 2010, BIOSCIENCE, V60, P527, DOI 10.1525/bio.2010.60.7.8
   Velmourougane K, 2016, SCIENTIFICA, V2016, DOI 10.1155/2016/3604026
   Voora V., 2019, GLOBAL MARKET REPORT
   World Bank, 2004, 29358VN WORLD BANK
   World Coffee Research, 2017, ANN REPORT
   Xavier FAD, 2011, NUTR CYCL AGROECOSYS, V89, P31, DOI 10.1007/s10705-010-9373-5
   Zhang FS, 2003, PLANT SOIL, V248, P305, DOI 10.1023/A:1022352229863
NR 54
TC 13
Z9 13
U1 4
U2 57
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 8
PY 2021
VL 5
AR 712733
DI 10.3389/fsufs.2021.712733
PG 14
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA WO9MA
UT WOS:000712767900001
OA gold
DA 2025-01-10
ER

PT J
AU Xie, CP
   Huang, BY
   Jim, CY
   Han, WD
   Liu, DW
AF Xie, Chunping
   Huang, Boyang
   Jim, C. Y.
   Han, Weidong
   Liu, Dawei
TI Predicting differential habitat suitability of<i> Rhodomyrtus</i><i>
   tomentosa</i> under current and future climate scenarios in China
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Rhodomyrtus tomentosa; Climatic factor; Climate change adaptation;
   Maxent modeling; Species distribution model (SDM); Potential suitability
   habitat
ID SPECIES DISTRIBUTION MODELS; POTENTIAL DISTRIBUTION; MEDICINAL-PLANT;
   NICHE MODELS; CONSERVATION; IMPACTS; AREAS; LAND; L.
AB Rhodomyrtus tomentosa, with edible and medicinal values, is a key shrub species in south China's forest under story. It maintains ecological balance, soil and water conservation, and biodiversity in the widely degraded mountain ecosystems. The distribution and population of R. tomentosa have shrunk recently due to anthropogenic impacts. At present, wild communities of R. tomentosa are rare in China's low-altitude areas. A comprehensive understanding of its current and future spatial patterns vis-`a-vis changing climatic conditions can inform co-management for economic use and conservation. Based on 213 validated distribution records and nine selected environmental variables, the potential biogeographical range of R. tomentosa in China was predicted by Maxent and QGIS modeling under current and three future climate-change scenarios. The limiting factors for distribution were evaluated by Jackknife, per cent contribution and permutation importance. We found that the present actual biogeographical range was concentrated in tropical and south-subtropical China with some extensions to mid-subtropical east and southwest China, with the main occurrence in the core range of Guangdong, Guangxi, and Hainan provinces. The modeling results indicated temperature as the clinching determinant of distribution patterns, including the minimum temperature of coldest month, mean temperature of warmest quarter, and temperature seasonality. Moisture was a necessary but not critical secondary factor. Under future climate-change scenarios, habitats with excellent suitability index will expand and shift towards southwest China and high-altitude areas. The findings provide science-based evidence to adjust management and conservation plans in response to climate change protect and use R. tomentosa in suitability habitats.
C1 [Xie, Chunping; Han, Weidong] Guangdong Ocean Univ, Coll Coastal Agr Sci, Zhanjiang 524088, Peoples R China.
   [Huang, Boyang] Nanjing Agr Univ, Coll Resources & Environm Sci, Nanjing 210095, Peoples R China.
   [Jim, C. Y.] Educ Univ Hong Kong, Dept Social Sci, Tai Po, Hong Kong, Peoples R China.
   [Liu, Dawei] Nanjing Forest Police Coll, Nanjing 210023, Peoples R China.
C3 Guangdong Ocean University; Nanjing Agricultural University; Education
   University of Hong Kong (EdUHK); Nanjing Forest Police College
RP Jim, CY (corresponding author), Educ Univ Hong Kong, Dept Social Sci, Tai Po, Hong Kong, Peoples R China.
EM xcp@gdou.edu.cn; 2016203008@njau.edu.cn; cyjim@eduhk.hk;
   hanwd@gdou.edu.cn; dwliu@nfpc.edu.cn
RI Jim, CY/O-1025-2019
OI XIE, CHUNPING/0000-0002-6228-7225; Jim, C.Y./0000-0003-4052-8363
FU Guangdong Forestry Science and Technology Innovation General Project
   [2019KJCX017]
FX We would like to thank the support from Guangdong Forestry Science and
   Technology Innovation General Project (2019KJCX017).
CR Abolmaali SMR, 2018, ECOL INFORM, V43, P116, DOI 10.1016/j.ecoinf.2017.10.002
   [Anonymous], 2010, Keys to Soil Taxonomy
   [Anonymous], 2017, Asian J. Pharm. Clin. Res
   Bazzato E, 2021, ECOL MODEL, V441, DOI 10.1016/j.ecolmodel.2020.109354
   Blois JL, 2013, SCIENCE, V341, P499, DOI 10.1126/science.1237184
   Bohl CL, 2019, J BIOGEOGR, V46, P1101, DOI 10.1111/jbi.13573
   Bouahmed A, 2019, REG ENVIRON CHANGE, V19, P1667, DOI 10.1007/s10113-019-01503-w
   Cetin M, 2018, ENVIRON DEV SUSTAIN, V20, P361, DOI 10.1007/s10668-016-9885-5
   [陈火君 CHEN Huojun], 2007, [广东农业科学, Guangdong Agricultural Sciences], P109
   Chen T., 2018, JIANGXI AGR, V16, P47
   Çoban HO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072671
   Deb JC, 2017, ECOL EVOL, V7, P2238, DOI 10.1002/ece3.2846
   Deblauwe V, 2016, GLOBAL ECOL BIOGEOGR, V25, P443, DOI 10.1111/geb.12426
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   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
   Elsen PR, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15881-x
   Flores-Tolentino M, 2019, REV MEX BIODIVERS, V90, DOI 10.22201/ib.20078706e.2019.90.2829
   Fois M, 2018, ECOL MODEL, V385, P124, DOI 10.1016/j.ecolmodel.2018.07.018
   Frohlich D, 2012, INV SPEC COMP
   Gaikwad J, 2011, ECOL MODEL, V222, P3437, DOI 10.1016/j.ecolmodel.2011.07.005
   Gebrewahid Y, 2020, ECOL PROCESS, V9, DOI 10.1186/s13717-019-0210-8
   Graham MH, 2003, ECOLOGY, V84, P2809, DOI 10.1890/02-3114
   Guillera-Arroita G, 2015, GLOBAL ECOL BIOGEOGR, V24, P276, DOI 10.1111/geb.12268
   Haidarian AM., 2017, J ENV STUDIES, V43, P497, DOI DOI 10.22059/JES.2017.233756.1007441
   Hammer Oyvind, 2001, Palaeontologia Electronica, V4, pUnpaginated
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Huang Rui-zhi, 2021, Journal of Beijing Forestry University, V43, P33, DOI 10.12171/j.1000-1522.20200254
   Hundessa S, 2018, ENVIRON RES, V162, P203, DOI 10.1016/j.envres.2017.12.021
   Kamyo T, 2020, FOR SCI TECHNOL, V16, P1, DOI 10.1080/21580103.2019.1687108
   Kong F, 2021, ENVIRON SCI POLLUT R, V28, P34655, DOI 10.1007/s11356-021-13121-3
   Kuntorini Evi Mintowati, 2019, Biodiversitas: Journal of Biological Diversity, V20, P3619, DOI 10.13057/biodiv/d201221
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Li YC, 2020, FORESTS, V11, DOI 10.3390/f11030302
   Liang HL, 2013, SEED SCI TECHNOL, V41, P188, DOI 10.15258/sst.2013.41.2.02
   Liu L., 2013, GUANGDONG FORESTRY S, V29, P49
   Liu N, 2013, RESTOR ECOL, V21, P578, DOI 10.1111/j.1526-100X.2012.00937.x
   Manabe S, 2019, TELLUS A, V71, DOI 10.1080/16000870.2019.1620078
   Mckenney DW, 2007, BIOSCIENCE, V57, P939, DOI 10.1641/B571106
   Mikhaylov A, 2020, ENTREP SUSTAIN ISS, V7, P2897, DOI 10.9770/jesi.2020.7.4(21)
   Mutaqin Asep Zainal, 2020, Biodiversitas: Journal of Biological Diversity, V21, P546, DOI 10.13057/biodiv/d210216
   Cerrillo RMN, 2021, NEW FOREST, V52, P89, DOI 10.1007/s11056-020-09784-4
   Ni J, 2011, REG ENVIRON CHANGE, V11, pS49, DOI 10.1007/s10113-010-0170-0
   Ning H, 2021, GLOB ECOL CONSERV, V25, DOI 10.1016/j.gecco.2020.e01420
   Nori J, 2019, AQUAT ECOL, V53, P595, DOI 10.1007/s10452-019-09711-6
   Oyebanji OO, 2021, ECOL INDIC, V122, DOI 10.1016/j.ecolind.2020.107282
   PASSIOURA JB, 1991, AUST J SOIL RES, V29, P717, DOI 10.1071/SR9910717
   Rodríguez JP, 2007, DIVERS DISTRIB, V13, P243, DOI 10.1111/j.1472-4642.2007.00356.x
   Paz-Dyderska S, 2021, REG ENVIRON CHANGE, V21, DOI 10.1007/s10113-020-01745-z
   Peterson AT, 2012, NAT CONSERVACAO, V10, P102, DOI 10.4322/natcon.2012.019
   Phillips S.J., 2021, Maxent Software for Modeling Species Niches and Distributions
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Puchalka R, 2021, GLOBAL CHANGE BIOL, V27, P1587, DOI 10.1111/gcb.15486
   QGIS O, 2021, QGIS GEOGR INF SYST
   Qin AL, 2017, GLOB ECOL CONSERV, V10, P139, DOI 10.1016/j.gecco.2017.02.004
   Qiu B., 1984, GEOGRAPHICAL RES, V3, P66
   Royzar C, 2016, FOREST ECOL MANAG, V369, P20, DOI 10.1016/j.foreco.2016.03.030
   Sarkar S, 2009, BIODIVERS CONSERV, V18, P1793, DOI 10.1007/s10531-008-9559-1
   Schwartz MW, 2012, BIOL CONSERV, V155, P149, DOI 10.1016/j.biocon.2012.06.011
   Semenov MA, 2010, CLIM RES, V41, P1, DOI 10.3354/cr00836
   Shukla P.R., 2019, Special Report on climate change and land
   [司书斌 Si Shubin], 2012, [中南林业科技大学学报, Journal of Central South University of Forestry & Technology], V32, P162
   Sousa-Guedes D, 2020, CLIMATE, V8, DOI 10.3390/cli8030042
   Su J, 2021, LANDSCAPE ECOL, V36, P2095, DOI 10.1007/s10980-020-01129-y
   Swart NC, 2018, NAT GEOSCI, V11, P836, DOI 10.1038/s41561-018-0226-1
   SWETS JA, 1988, SCIENCE, V240, P1285, DOI 10.1126/science.3287615
   Tessarolo G, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107147
   Testolin R, 2020, ECOGRAPHY, V43, P779, DOI 10.1111/ecog.05012
   Vo TS, 2019, BIOMOLECULES, V9, DOI 10.3390/biom9020076
   Varol T, 2021, FOREST ECOL MANAG, V491, DOI 10.1016/j.foreco.2021.119199
   [王芳 Wang Fang], 2018, [生态学报, Acta Ecologica Sinica], V38, P282
   [王鑫 Wang Xin], 2021, [生态学报, Acta Ecologica Sinica], V41, P6123
   Wang Xue-qin, 2021, Guangxi Zhiwu / Guihaia, V41, P68, DOI 10.1193l/guihaia.gxzw201906024
   [王岳环 Wang Yuehuan], 2020, [华中科技大学学报. 自然科学版, Journal of Huazhong University of Science and Technology. Nature Science], V48, P32
   Wei B, 2018, GLOB ECOL CONSERV, V16, DOI 10.1016/j.gecco.2018.e00477
   Wei MS, 2009, NORD J BOT, V27, P154, DOI 10.1111/j.1756-1051.2009.00137.x
   Xie CP, 2021, FORESTS, V12, DOI 10.3390/f12070951
   Yan HY, 2020, GLOB ECOL CONSERV, V21, DOI 10.1016/j.gecco.2019.e00856
   Yang Fu-rong, 2020, Journal of Beijing Forestry University, V42, P45, DOI 10.12171/j.1000-1522.20190375
   Yang L, 2010, J VEG SCI, V21, P262, DOI 10.1111/j.1654-1103.2009.01140.x
   Yang XQ, 2013, ECOL ENG, V51, P83, DOI 10.1016/j.ecoleng.2012.12.004
   Ye C., 2019, J ANHUI AGR SCI, V47, P1
   Ye C., 2015, CHINESE J TROPICAL A, V35, P22
   Yi YJ, 2016, ECOL ENG, V92, P260, DOI 10.1016/j.ecoleng.2016.04.010
   Yilmaz H, 2017, ECOL EVOL, V7, P1112, DOI 10.1002/ece3.2766
   Zhang KL, 2019, FORESTS, V10, DOI 10.3390/f10020190
   Zhao Jin-peng, 2020, Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture, V28, P1523, DOI 10.13930/j.cnki.cjea.200244
   Zhao Z., 2006, GUANGXI FORESTRY SCI, V35, P70
   Zhao ZF, 2020, FOOD CHEM, V309, DOI 10.1016/j.foodchem.2019.125715
NR 89
TC 19
Z9 20
U1 11
U2 76
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 DEC 1
PY 2021
VL 501
AR 119696
DI 10.1016/j.foreco.2021.119696
EA SEP 2021
PG 12
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA WA3CU
UT WOS:000702768000001
DA 2025-01-10
ER

PT J
AU Zhang, B
   Wang, S
   Wang, Y
AF Zhang, B.
   Wang, S.
   Wang, Y.
TI Probabilistic Projections of Multidimensional Flood Risks at a
   Convection-Permitting Scale
SO WATER RESOURCES RESEARCH
LA English
DT Article
ID PAIR-COPULA CONSTRUCTIONS; BAYESIAN MODEL SELECTION; CLIMATE-CHANGE;
   STATIONARITY; FRAMEWORK; ROBUSTNESS; PREDICTION; DEPENDENCE; STREAMFLOW;
   SCENARIOS
AB Understanding future river flood risk is a prerequisite for developing climate change adaptation strategies and enhancing disaster resilience. Previous flood risk assessments can barely take into account future changes of fine-scale hydroclimatic characteristics and hardly quantify multivariate interactions among flood variables, thereby resulting in an unreliable assessment of flood risk. In this study, for the first time, we develop probabilistic projections of multidimensional river flood risks at a convection-permitting scale through the Weather Research and Forecasting (WRF) climate simulations with 4-km horizontal grid spacing. Vine copula has been widely used to assess the multidimensional dependence structure of hydroclimate variables, but the commonly used frequentist approach may fail to identify the correct vine model and to obtain the uncertainty interval. Thus, a Bayesian vine copula approach is proposed to explicitly address the multidimensional dependence of flood characteristics (i.e., flood peak, volume, and duration) and underlying uncertainties. The proposed approach enables a robust assessment of return periods of future floods for Guadalupe and Mission river basins located in South Texas of the United States. Our findings reveal that the South Texas region is projected to experience more flood events with longer duration and greater discharge volume. The flood peak, however, will not necessarily increase even though precipitation extremes are expected to become more frequent. The projected flood return periods over the Guadalupe river basin do not show an obvious increase while the Mission river basin is projected to face a dramatic increase in flood risk with exposed to 100-year and even severer floods nearly every 2 years, on average, when considering the combined effects of flood peak, volume, and duration.
C1 [Zhang, B.; Wang, S.] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
   [Wang, S.] Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China.
   [Wang, Y.] SUNY Coll Oswego, Dept Atmospher & Geol Sci, Oswego, NY 13126 USA.
C3 Hong Kong Polytechnic University; Hong Kong Polytechnic University;
   State University of New York (SUNY) System; State University of New York
   (SUNY) - Oswego
RP Wang, S (corresponding author), Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.; Wang, S (corresponding author), Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China.
EM shuo.s.wang@polyu.edu.hk
RI Zhang, Boen/GPK-7523-2022; Wang, Shuo/I-3017-2013
OI Wang, Shuo/0000-0001-7827-187X
FU National Natural Science Foundation of China [51809223]; Hong Kong
   Research Grants Council Early Career Scheme [PP5Z]
FX This research was supported by the National Natural Science Foundation
   of China (Grant No. 51809223) and the Hong Kong Research Grants Council
   Early Career Scheme (Grant PP5Z). We acknowledge the World Climate
   Research Programme's Working Group on Coupled Modeling, which is
   responsible for CMIP5, and we thank the climate modeling groups for
   producing and making their model outputs available at
   https://esgf-node.llnl.gov/projects/cmip5/.We would like to express our
   sincere gratitude to the associate editor and five anonymous reviewers
   for their constructive comments and suggestions.
CR Aas K, 2009, INSUR MATH ECON, V44, P182, DOI 10.1016/j.insmatheco.2007.02.001
   Alfieri L, 2015, HYDROL EARTH SYST SC, V19, P2247, DOI 10.5194/hess-19-2247-2015
   Alfieri L, 2017, EARTHS FUTURE, V5, P171, DOI 10.1002/2016EF000485
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   [Anonymous], 2014, CLIM DYN, DOI DOI 10.1007/S00382-013-1851-4
   Balistrocchi M, 2017, WATER RESOUR RES, V53, P9883, DOI 10.1002/2017WR021345
   Barrington-Leigh C, 2015, P NATL ACAD SCI USA, V112, P8244, DOI 10.1073/pnas.1504033112
   Bedford T, 2002, ANN STAT, V30, P1031
   Bevacqua E, 2017, HYDROL EARTH SYST SC, V21, P2701, DOI 10.5194/hess-21-2701-2017
   Bloeschl G, 2019, NATURE, V573, P108, DOI 10.1038/s41586-019-1495-6
   Brisson E, 2016, CLIM DYNAM, V47, P3043, DOI 10.1007/s00382-016-3012-z
   Brunner MI, 2019, WATER RESOUR RES, V55, P4745, DOI [10.1029/2019WR024701, 10.1029/2019wr024701]
   Carvalho KS, 2019, J HYDROL, V569, P373, DOI 10.1016/j.jhydrol.2018.11.072
   Chen H, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD033894
   Chen H, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031982
   Dakhlaoui H, 2017, J HYDROL, V550, P201, DOI 10.1016/j.jhydrol.2017.04.032
   DALY C, 1994, J APPL METEOROL, V33, P140, DOI 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2
   Daneshkhah A, 2016, J HYDROL, V540, P469, DOI 10.1016/j.jhydrol.2016.06.044
   DeChant CM, 2015, WATER RESOUR RES, V51, P3867, DOI 10.1002/2014WR016617
   Duan Q, 2006, J HYDROL, V320, P3, DOI 10.1016/j.jhydrol.2005.07.031
   Farmer WH, 2016, WATER RESOUR RES, V52, P5619, DOI 10.1002/2016WR019129
   Favre AC, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002456
   Fosser G, 2015, CLIM DYNAM, V44, P45, DOI 10.1007/s00382-014-2242-1
   Gelman A., 1992, Statistical Science, V7, P457, DOI DOI 10.1214/SS/1177011136
   Genest C, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005275
   Gharari S, 2013, HYDROL EARTH SYST SC, V17, P149, DOI 10.5194/hess-17-149-2013
   Giorgi F, 2019, J GEOPHYS RES-ATMOS, V124, P5696, DOI 10.1029/2018JD030094
   Gruber L, 2015, BAYESIAN ANAL, V10, P937, DOI 10.1214/14-BA930
   Gruber LF, 2018, BAYESIAN ANAL, V13, P1107, DOI 10.1214/17-BA1089
   Guadalupe-Blaco River Authority (GBRA), STAYING SAFE GUIDE F
   Haff IH, 2015, COMPUT STAT DATA AN, V84, P1, DOI 10.1016/j.csda.2014.10.020
   Hara M., 2008, Hydrol. Res. Lett, V2, P61, DOI DOI 10.3178/HRL.2.61
   Herman J. D., 2013, Water Resources Research, V49, P1400, DOI 10.1002/wrcr.20124
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Huang KD, 2018, J HYDROL, V565, P672, DOI 10.1016/j.jhydrol.2018.08.040
   Jiang C, 2019, HYDROL EARTH SYST SC, V23, P1683, DOI 10.5194/hess-23-1683-2019
   Joe H., 1996, Lecture Notes-Monograph Ser, V28, P120, DOI [10.1214/lnms/1215452614, DOI 10.1214/LNMS/1215452614]
   Jongman B, 2015, P NATL ACAD SCI USA, V112, pE2271, DOI 10.1073/pnas.1414439112
   Lauer A, 2013, J CLIMATE, V26, P10006, DOI 10.1175/JCLI-D-13-00126.1
   Lin PR, 2018, J HYDROMETEOROL, V19, P1339, DOI 10.1175/JHM-D-18-0038.1
   Lin PR, 2018, J AM WATER RESOUR AS, V54, P40, DOI 10.1111/1752-1688.12585
   Liu CH, 2017, CLIM DYNAM, V49, P71, DOI 10.1007/s00382-016-3327-9
   Liu ZY, 2018, WATER RESOUR RES, V54, P2681, DOI 10.1002/2017WR021662
   Liu ZY, 2015, J GEOPHYS RES-ATMOS, V120, P10116, DOI 10.1002/2015JD023787
   Mallakpour I, 2019, GEOPHYS RES LETT, V46, P2130, DOI 10.1029/2018GL081888
   Marsooli R, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11755-z
   MCKAY MD, 1979, TECHNOMETRICS, V21, P239, DOI 10.2307/1268522
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Milly PCD, 2015, WATER RESOUR RES, V51, P7785, DOI 10.1002/2015WR017408
   Min A, 2010, J FINANC ECONOMET, V8, P511, DOI 10.1093/jfinec/nbp031
   Moftakhari HR, 2017, P NATL ACAD SCI USA, V114, P9785, DOI 10.1073/pnas.1620325114
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mulligan M, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0362-5
   Prein AF, 2013, CLIM DYNAM, V41, P2655, DOI 10.1007/s00382-013-1744-6
   Prein AF, 2017, NAT CLIM CHANGE, V7, P48, DOI [10.1038/nclimate3168, 10.1038/NCLIMATE3168]
   Qing Y, 2020, CLIM DYNAM, V55, P2031, DOI 10.1007/s00382-020-05372-6
   Quinn N, 2019, WATER RESOUR RES, V55, P1890, DOI 10.1029/2018WR024205
   Raff DA, 2009, HYDROL EARTH SYST SC, V13, P2119, DOI 10.5194/hess-13-2119-2009
   Ramos MH, 2013, HYDROL EARTH SYST SC, V17, P2219, DOI 10.5194/hess-17-2219-2013
   Roy T, 2017, WATER RESOUR RES, V53, P376, DOI 10.1002/2016WR019752
   Sadegh M, 2017, WATER RESOUR RES, V53, P5166, DOI 10.1002/2016WR020242
   Salas FR, 2018, J AM WATER RESOUR AS, V54, P7, DOI 10.1111/1752-1688.12586
   Salvadori G, 2004, WATER RESOUR RES, V40, DOI 10.1029/2004WR003133
   Salvadori G, 2016, WATER RESOUR RES, V52, P3701, DOI 10.1002/2015WR017225
   Santhosh D, 2013, WATER RESOUR RES, V49, P8328, DOI 10.1002/2011WR010777
   Serinaldi F, 2015, ADV WATER RESOUR, V77, P17, DOI 10.1016/j.advwatres.2014.12.013
   Serinaldi F, 2013, WATER RESOUR RES, V49, P3423, DOI 10.1002/wrcr.20221
   Sharma A, 2018, WATER RESOUR RES, V54, P8545, DOI 10.1029/2018WR023749
   Shkolnik I, 2018, CLIM DYNAM, V50, P215, DOI 10.1007/s00382-017-3600-6
   Sklar A, 1959, FONCTIONS R E PARTIT
   Smith A.B., 2020, CLIMATE.GOVJan. 8,, DOI 10.25921/stkw-7w73
   Solari S, 2017, WATER RESOUR RES, V53, P2833, DOI 10.1002/2016WR019426
   Texas Floodplain Management Association (TFMA), 2015, QUICK GUIDE FLOODPLA
   Vrugt JA., 2008, Water Resource Research, V44, P1, DOI [DOI 10.1029/2007WR006720, 10.1029/2007WR006720]
   Vrugt JA, 2016, ENVIRON MODELL SOFTW, V75, P273, DOI 10.1016/j.envsoft.2015.08.013
   Wagner S, 2013, CLIM DYNAM, V40, P415, DOI 10.1007/s00382-012-1510-1
   Wang S, 2019, CLIM DYNAM, V53, P1613, DOI 10.1007/s00382-019-04702-7
   Wang S, 2018, WATER RESOUR RES, V54, P2129, DOI 10.1002/2018WR022546
   Westra S, 2014, WATER RESOUR RES, V50, P5090, DOI 10.1002/2013WR014719
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   Yoshikane T, 2012, SOLA, V8, DOI 10.2151/sola.2012-033
   Yu KX, 2019, HYDROL PROCESS, V33, P962, DOI 10.1002/hyp.13377
   Zhang B, 2019, J GEOPHYS RES-ATMOS, V124, P7460, DOI 10.1029/2019JD030686
   Zhang B., 2020, MENDELEY DATA, DOI [10.17632/csdctns7wj.2, DOI 10.17632/CSDCTNS7WJ.2]
   Zhu J, 2019, J GEOPHYS RES-ATMOS, V124, P3800, DOI 10.1029/2018JD029444
NR 85
TC 25
Z9 27
U1 3
U2 80
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 JAN
PY 2021
VL 57
IS 1
AR e2020WR028582
DI 10.1029/2020WR028582
PG 28
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA QH0XN
UT WOS:000618001100022
OA Green Published
DA 2025-01-10
ER

PT J
AU Mercado, JMR
   Kawamura, A
   Amaguchi, H
AF Mercado, Jean Margaret R.
   Kawamura, Akira
   Amaguchi, Hideo
TI Interrelationships of the barriers to integrated flood risk management
   adaptation in Metro Manila, Philippines
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Barriers; Integrated flood risk management; Interpretive structural
   modeling; Metro Manila
ID CLIMATE-CHANGE ADAPTATION; INFORMAL SETTLEMENTS; VULNERABILITY;
   RESILIENCE; GOVERNANCE; CHALLENGES; REDUCTION; SYSTEM; CITY; TOOL
AB Many countries encountered "barriers" or obstacles that hampered the process of adapting to the integrated flood risk management (IFRM) from the traditional hard structural solutions in managing urban flooding. One of the crucial tasks to overcome the barriers is to understand their interrelationships. However, analysis of the interrelationships between the barriers to IFRM adaptation has not been carried out yet. This study attempts to analyze the interrelationships between the barriers to IFRM adaptation using the Interpretive Structural Modeling (ISM) method. The barriers in Metro Manila, a megacity in a developing country, were identified first in this study. Then, the ISM method was slightly modified and applied to analyze the interrelationships of the identified barriers. As a result, we identified 12 barriers which are relatively numerous compared with the developed countries, and so we categorized them into the governance, social, and technological resources aspects. Through the application of the ISM method, the interrelationships of the barriers to IFRM adaptation were systematically analyzed for the first time while also showing their hierarchical diagram. The results of the ISM reveal that barriers in the governance aspect are the most influential in which the lack of a sole organizing body is the most influential barrier. The barriers in the technological resources aspect are the second most influential, while barriers in the social aspect are the least influential and most dependent barriers. The approach presented in this study can be useful for decision makers and practitioners in understanding the interrelationships between the barriers.
C1 [Mercado, Jean Margaret R.; Kawamura, Akira; Amaguchi, Hideo] Tokyo Metropolitan Univ, Dept Civil & Environm Engn, 1-1 Minami Osawa, Hachioji, Tokyo 1920397, Japan.
C3 Tokyo Metropolitan University
RP Mercado, JMR (corresponding author), Tokyo Metropolitan Univ, Dept Civil & Environm Engn, 1-1 Minami Osawa, Hachioji, Tokyo 1920397, Japan.
EM mereadojean@ymail.com; kawamura@tmu.ac.jp; amaguchi@tmu.ac.jp
FU Tokyo Metropolitan Government, Japan
FX This study was carried out as part of the research project entitled
   "Study on guerilla rainstorm, flood, and water pollution in megacity
   urban watersheds -Countermeasures against megacity urban waterrelated
   disasters bipolarized by climate change" supported by Tokyo Metropolitan
   Government, Japan (Represented by Prof. Akira Kawamura). We would also
   like to acknowledge the experts from the DPWH for supplying the inputs
   for the ISM.
CR Agarwal A, 2007, IND MARKET MANAG, V36, P443, DOI 10.1016/j.indmarman.2005.12.004
   Agi MAN, 2017, J ENVIRON MANAGE, V188, P351, DOI 10.1016/j.jenvman.2016.11.081
   Alvarez MK, 2019, INT J URBAN REGIONAL, V43, P227, DOI 10.1111/1468-2427.12757
   Amundsen H, 2010, ENVIRON PLANN C, V28, P276, DOI 10.1068/c0941
   [Anonymous], 2003, Journal of Advances in Management Research, DOI [DOI 10.1108/97279810380000356, 10.1108/97279810380000356]
   [Anonymous], 2009, WORLD WIDE FUND NATU
   Apel H, 2009, NAT HAZARDS, V49, P79, DOI 10.1007/s11069-008-9277-8
   Attri R., 2013, RES J MANAGEMENT SCI, V2, P3
   Bankoff G, 2003, DISASTERS, V27, P224, DOI 10.1111/1467-7717.00230
   Bankoff G, 2007, CONTINUITY CHANGE, V22, P327, DOI 10.1017/S0268416007006315
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Bisaro A, 2016, NAT CLIM CHANGE, V6, P354, DOI 10.1038/NCLIMATE2936
   Boquet Yves., 2015, Urban Development Challenges, Risks, and Resilience in Asian Mega cities, P447
   Buchecker M, 2016, ENVIRON SCI POLICY, V55, P309, DOI 10.1016/j.envsci.2015.07.021
   Chandramowli S, 2011, HABITAT INT, V35, P246, DOI 10.1016/j.habitatint.2010.09.005
   De Risi R, 2020, NAT HAZARDS, V100, P387, DOI 10.1007/s11069-019-03817-8
   DPWH, 2004, STUD FLOOD CONTR PRO
   DPWH, 2000, STUD EX DRAIN LAT ME
   DPWH, 2013, MAST PLAN FLOOD MAN
   Duperrin J., 1973, Methode de hierarchisation des elements d'un systeme: essai de prospective du systeme de l'energie nucleaire dans son contexte societal
   Farris D. R., 1975, Computers & Electrical Engineering, V2, P149, DOI 10.1016/0045-7906(75)90004-X
   Ford JD, 2015, MITIG ADAPT STRAT GL, V20, P505, DOI 10.1007/s11027-013-9505-8
   Gilbuena R, 2019, WATER ENVIRON J, V33, P443, DOI 10.1111/wej.12416
   Gilbuena R, 2013, IAHS-AISH P, V357, P32
   Hachicha W, 2014, J RISK RES, V17, P1301, DOI 10.1080/13669877.2013.841734
   Ishiwatari, 2016, JAPAN SOCIAL INNOVAT, V6, P15, DOI DOI 10.12668/JSIJ.6.15
   Jalayer F, 2018, J FLOOD RISK MANAG, V11, pS646, DOI 10.1111/jfr3.12238
   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
   Laycock KE, 2019, CLIMATIC CHANGE, V152, P47, DOI 10.1007/s10584-018-2360-6
   MALONE DW, 1975, P IEEE, V63, P397, DOI 10.1109/PROC.1975.9765
   Mercado J.M.R., 2018, J JAPAN SOC CIV ENG, V74, DOI 10.2208/jscejer.74.i_285.
   Milly PCD, 2002, NATURE, V415, P514, DOI 10.1038/415514a
   Morin VM, 2016, DISASTERS, V40, P693, DOI 10.1111/disa.12174
   Moser S.C., 2012, Identifying and Overcoming Barriers to Climate Change Adaptation in San Francisco Bay: Results from Case Studies
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mudgal R.K., 2010, Int. Journal of Logistics Systems and Management, V7, P81, DOI DOI 10.1504/IJLSM.2010.033891
   Mysiak J, 2013, NAT HAZARD EARTH SYS, V13, P2883, DOI 10.5194/nhess-13-2883-2013
   Ogie RI, 2020, J ENVIRON PLANN MAN, V63, P127, DOI 10.1080/09640568.2018.1547693
   Pahl-Wostl C, 2013, ECOL SOC, V18, DOI 10.5751/ES-05779-180458
   Porio E, 2011, ASIAN J SOC SCI, V39, P425, DOI 10.1163/156853111X597260
   Prawiranegara M, 2014, PROCD SOC BEHV, V135, P18, DOI 10.1016/j.sbspro.2014.07.319
   Pulhin JM, 2010, COMM ENV DISAST RISK, V5, P217, DOI 10.1108/S2040-7262(2010)0000005017
   Sajor E., 2017, LIVING FLOODS MOB SE, P105
   Samuels P, 2006, IRRIG DRAIN, V55, pS141, DOI 10.1002/ird.257
   dos Muchangos LS, 2015, ENVIRON DEV, V16, P76, DOI 10.1016/j.envdev.2015.07.002
   Scott M, 2013, PLAN THEORY PRACT, V14, P103, DOI 10.1080/14649357.2012.761904
   Shatkin G, 2004, URBAN STUD, V41, P2469, DOI 10.1080/00420980412331297636
   Shatkin G, 2008, ENVIRON PLANN A, V40, P383, DOI 10.1068/a38439
   Tadgell A, 2017, INT J DISAST RISK RE, V22, P447, DOI 10.1016/j.ijdrr.2017.01.005
   Ballesteros HFV, 2018, DILEMAS CONTEMP-EDUC, V5
   van Herk S, 2015, ENVIRON INNOV SOC TR, V15, P84, DOI 10.1016/j.eist.2013.11.001
   Vinke-de Kruijf J, 2015, ENVIRON DEV, V16, P104, DOI 10.1016/j.envdev.2015.04.003
   WARFIELD JN, 1973, IEEE T SYST MAN CYB, VSMC3, P441, DOI 10.1109/TSMC.1973.4309270
   WATSON RH, 1978, TECHNOL FORECAST SOC, V11, P165, DOI 10.1016/0040-1625(78)90028-8
   World Bank, 2010, TYHP OND PEP DIS NEE
   Xia C, 2012, ENVIRON INNOV SOC TR, V5, P60, DOI 10.1016/j.eist.2012.10.001
   Yu T, 2018, SUSTAIN CITIES SOC, V37, P93, DOI 10.1016/j.scs.2017.11.008
   Zerger A, 2004, NAT HAZARDS, V33, P191, DOI 10.1023/B:NHAZ.0000037040.72866.92
   Zoleta-Nantes D.B., 2002, MITIG ADAPT STRAT GL, V7, P239, DOI DOI 10.1023/A:1024471412686
   Zoleta-Nantes DoracieB., 2000, Social Science Diliman, V1, P60
NR 60
TC 19
Z9 20
U1 0
U2 29
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 OCT
PY 2020
VL 49
AR 101683
DI 10.1016/j.ijdrr.2020.101683
PG 12
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 NT5IX
UT WOS:000572975600006
DA 2025-01-10
ER

PT J
AU Chausson, A
   Turner, B
   Seddon, D
   Chabaneix, N
   Girardin, CAJ
   Kapos, V
   Key, I
   Roe, D
   Smith, A
   Woroniecki, S
   Seddon, N
AF Chausson, Alexandre
   Turner, Beth
   Seddon, Dan
   Chabaneix, Nicole
   Girardin, Cecile A. J.
   Kapos, Valerie
   Key, Isabel
   Roe, Dilys
   Smith, Alison
   Woroniecki, Stephen
   Seddon, Nathalie
TI Mapping the effectiveness of nature-based solutions for climate change
   adaptation
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE adaptation; biodiversity; climate change; ecosystem-based adaptation;
   nature-based solutions; resilience; systematic map
ID ECOSYSTEM-BASED ADAPTATION; COMBAT LAND DEGRADATION; WATER YIELD;
   ECOLOGICAL RESTORATION; FIRE MANAGEMENT; SERVICE VALUES; LOESS PLATEAU;
   SOIL CARBON; FOREST; AFFORESTATION
AB Nature-based solutions (NbS) to climate change currently have considerable political traction. However, national intentions to deploy NbS have yet to be fully translated into evidence-based targets and action on the ground. To enable NbS policy and practice to be better informed by science, we produced the first global systematic map of evidence on the effectiveness of nature-based interventions for addressing the impacts of climate change and hydrometeorological hazards on people. Most of the interventions in natural or semi-natural ecosystems were reported to have ameliorated adverse climate impacts. Conversely, interventions involving created ecosystems (e.g., afforestation) were associated with trade-offs; such studies primarily reported reduced soil erosion or increased vegetation cover but lower water availability, although this evidence was geographically restricted. Overall, studies reported more synergies than trade-offs between reduced climate impacts and broader ecological, social, and climate change mitigation outcomes. In addition, nature-based interventions were most often shown to be as effective or more so than alternative interventions for addressing climate impacts. However, there were substantial gaps in the evidence base. Notably, there were few studies of the cost-effectiveness of interventions compared to alternatives and few integrated assessments considering broader social and ecological outcomes. There was also a bias in evidence toward the Global North, despite communities in the Global South being generally more vulnerable to climate impacts. To build resilience to climate change worldwide, it is imperative that we protect and harness the benefits that nature can provide, which can only be done effectively if informed by a strengthened evidence base.
C1 [Chausson, Alexandre; Turner, Beth; Seddon, Dan; Chabaneix, Nicole; Key, Isabel; Woroniecki, Stephen; Seddon, Nathalie] Univ Oxford, Dept Zool, Nat Based Solut Initiat, Mansfield Rd, Oxford OX1 3PS, England.
   [Girardin, Cecile A. J.; Smith, Alison] Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England.
   [Kapos, Valerie] World Conservat Monitoring Ctr UNEP WCMC, United Nat Environm Programme, Cambridge, England.
   [Roe, Dilys] Int Inst Environm & Dev, London, England.
   [Woroniecki, Stephen] Linkoping Univ, Dept Themat Studies, Environm Change Unit, Linkoping, Sweden.
C3 University of Oxford; University of Oxford; United Nations Environment
   Programme; Linkoping University
RP Seddon, N (corresponding author), Univ Oxford, Dept Zool, Nat Based Solut Initiat, Mansfield Rd, Oxford OX1 3PS, England.
EM nathalie.seddon@zoo.ox.ac.uk
RI ; Smith, Alison/P-3326-2019; Kapos, Valerie/G-3136-2010
OI Turner, Beth/0000-0002-4316-1926; Seddon, Nathalie/0000-0002-1880-6104;
   Key, Isabel/0000-0002-3200-2399; Smith, Alison/0000-0003-2649-2202; Roe,
   Dilys/0000-0002-6547-6427; Kapos, Valerie/0000-0002-5739-8262; Chausson,
   Alexandre/0000-0001-9337-3970
FU Natural Environment Research Council [NE/R002649/1]; University of
   Oxford: John Fell Fund; Oxford Martin School; NERC [NE/R002649/1]
   Funding Source: UKRI
FX Natural Environment Research Council, Grant/Award Number: NE/R002649/1;
   University of Oxford: John Fell Fund and the Oxford Martin School
CR Ahammad R, 2013, J COAST CONSERV, V17, P833, DOI 10.1007/s11852-013-0284-x
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Amghar F, 2012, REV ECOL-TERRE VIE, V67, P257
   Amini A, 2014, ARAB J GEOSCI, V7, P3271, DOI 10.1007/s12517-013-0950-1
   Anderson CM, 2019, SCIENCE, V363, P933, DOI 10.1126/science.aaw2741
   [Anonymous], 2015, HAB CLASS SCHEM VERS
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on "Nature based solutions and re naturing cities.", DOI DOI 10.2777/479582
   Arce-Mojica TD, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101293
   Barlow J, 2020, GLOBAL CHANGE BIOL, V26, P319, DOI 10.1111/gcb.14872
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Barsoum N, 2016, FOREST ECOL MANAG, V382, P244, DOI 10.1016/j.foreco.2016.10.005
   Beck MW, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04568-z
   Bedelian C, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0085-1
   Biel RG, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1791
   Bilbao BA, 2010, HUM ECOL, V38, P663, DOI 10.1007/s10745-010-9344-0
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bond WJ, 2016, SCIENCE, V351, P120, DOI 10.1126/science.aad5132
   Bonnesoeur V, 2019, FOREST ECOL MANAG, V433, P569, DOI 10.1016/j.foreco.2018.11.033
   Bossio DA, 2020, NAT SUSTAIN, V3, P391, DOI 10.1038/s41893-020-0491-z
   Bouma TJ, 2014, COAST ENG, V87, P147, DOI 10.1016/j.coastaleng.2013.11.014
   Bowman DMJS, 2020, NAT REV EARTH ENV, V1, P500, DOI 10.1038/s43017-020-0085-3
   Burden A, 2019, BIOL LETTERS, V15, DOI 10.1098/rsbl.2018.0773
   Busch J, 2019, NAT CLIM CHANGE, V9, P463, DOI 10.1038/s41558-019-0485-x
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   Cao SX, 2008, ENVIRON SCI TECHNOL, V42, P1826, DOI 10.1021/es0870597
   Cao SX, 2016, J ENVIRON MANAGE, V183, P843, DOI 10.1016/j.jenvman.2016.07.096
   Cao SX, 2009, J APPL ECOL, V46, P536, DOI 10.1111/j.1365-2664.2008.01605.x
   COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104
   Cohen-Shacham E., 2016, Nature-based Solutions to address global societal challenges, V97, P2016, DOI [DOI 10.2305/IUCN.CH.2016.13.EN, DOI 10.2305/IUCN.CH.2016.13.ENB.P001/REF]
   Cohen-Shacham E, 2019, ENVIRON SCI POLICY, V98, P20, DOI 10.1016/j.envsci.2019.04.014
   Convention on Biological Diversity, 2009, CBD TECHNICAL SERIES, V41
   Coppock DL, 2017, SPRINGER SER ENV MAN, P569, DOI 10.1007/978-3-319-46709-2_17
   Czembrowski P, 2016, ECOL ECON, V130, P166, DOI 10.1016/j.ecolecon.2016.07.004
   Dadson SJ, 2017, P ROY SOC A-MATH PHY, V473, DOI 10.1098/rspa.2016.0706
   Dass P, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aacb39
   De Keersmaecker W, 2016, J APPL ECOL, V53, P430, DOI 10.1111/1365-2664.12595
   de-Dios-García J, 2015, FOREST ECOL MANAG, V358, P230, DOI 10.1016/j.foreco.2015.09.014
   Defossé GE, 2011, FOREST ECOL MANAG, V261, P2243, DOI 10.1016/j.foreco.2010.11.021
   Doswald N, 2014, CLIM DEV, V6, P185, DOI 10.1080/17565529.2013.867247
   Dowdy AJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-46362-x
   Enríquez-de-Salamanca A, 2017, ENVIRON IMPACT ASSES, V64, P87, DOI 10.1016/j.eiar.2017.03.005
   Farley KA, 2005, GLOBAL CHANGE BIOL, V11, P1565, DOI 10.1111/j.1365-2486.2005.01011.x
   Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794
   Filoso S, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0183210
   Follett RF, 2010, RANGELAND ECOL MANAG, V63, P4, DOI 10.2111/08-225.1
   Friedlingstein P, 2019, SCIENCE, V366, DOI 10.1126/science.aay8060
   Fritz M, 2017, THEOR PRACT URB SUST, P111, DOI 10.1007/978-3-319-56091-5_7
   Fu BJ, 2017, ANNU REV EARTH PL SC, V45, P223, DOI 10.1146/annurev-earth-063016-020552
   Fuentes L, 2018, SCI TOTAL ENVIRON, V610, P720, DOI 10.1016/j.scitotenv.2017.08.050
   García-Palacios P, 2010, ECOL ENG, V36, P1290, DOI 10.1016/j.ecoleng.2010.06.005
   Gariano SL, 2016, EARTH-SCI REV, V162, P227, DOI 10.1016/j.earscirev.2016.08.011
   Griscom BW, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0126
   Griscom BW, 2017, P NATL ACAD SCI USA, V114, P11645, DOI 10.1073/pnas.1710465114
   Grygoruk M, 2013, WATER-SUI, V5, P1760, DOI 10.3390/w5041760
   Habel JC, 2013, BIODIVERS CONSERV, V22, P2131, DOI 10.1007/s10531-013-0537-x
   Hanke W, 2015, LAND DEGRAD DEV, V26, P833, DOI 10.1002/ldr.2224
   Hanson HI, 2020, LAND USE POLICY, V90, DOI 10.1016/j.landusepol.2019.104302
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hobbie SE, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0124
   Iacob O, 2014, HYDROL RES, V45, P774, DOI 10.2166/nh.2014.184
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Jactel H, 2012, ECOL SOC, V17, DOI 10.5751/ES-04897-170452
   James KL, 2016, ENVIRON EVID, V5, DOI 10.1186/s13750-016-0059-6
   Jia XX, 2017, J HYDROL, V546, P113, DOI 10.1016/j.jhydrol.2017.01.011
   Jiao JY, 2012, RESTOR ECOL, V20, P240, DOI 10.1111/j.1526-100X.2010.00756.x
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Kapos V., 2019, ROLE NATURAL ENV ADA, DOI DOI 10.1016/j.tree.2014.02.004
   Klenk N, 2015, ENVIRON SCI POLICY, V54, P160, DOI 10.1016/j.envsci.2015.05.017
   Knickel M, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236602
   Krauss KW, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01224-2
   Langridge SM, 2014, OCEAN COAST MANAGE, V95, P189, DOI 10.1016/j.ocecoaman.2014.03.019
   Lara A, 2009, FOREST ECOL MANAG, V258, P415, DOI 10.1016/j.foreco.2009.01.004
   Lavorel S, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0119
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Lehmann P, 2019, WATER RESOUR RES, V55, P9962, DOI 10.1029/2019WR025233
   Lennox MS, 2011, RESTOR ECOL, V19, P225, DOI 10.1111/j.1526-100X.2009.00558.x
   Lewis SL, 2019, NATURE, V568, P25, DOI 10.1038/d41586-019-01026-8
   Lindenmayer DB, 2020, NAT ECOL EVOL, V4, P898, DOI 10.1038/s41559-020-1195-5
   Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011
   Little C, 2009, J HYDROL, V374, P162, DOI 10.1016/j.jhydrol.2009.06.011
   Mace G., 2014, ROYAL SOC SCI POLICY
   Maes J, 2017, CONSERV LETT, V10, P121, DOI 10.1111/conl.12216
   McKinsey, 2020, CLIM RISK RESP PHYS
   Mekuria W, 2015, FOR SCI TECHNOL, V11, P86, DOI 10.1080/21580103.2014.966862
   Meli P, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093507
   Menéndez P, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-61136-6
   Moos C, 2018, EARTH-SCI REV, V177, P497, DOI 10.1016/j.earscirev.2017.12.011
   Morris RL, 2018, GLOBAL CHANGE BIOL, V24, P1827, DOI 10.1111/gcb.14063
   Mukherjee N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107706
   Munroe R, 2012, ENVIRON EVID, V1, DOI 10.1186/2047-2382-1-13
   Narayan S, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154735
   Nightingale AJ, 2020, CLIM DEV, V12, P343, DOI 10.1080/17565529.2019.1624495
   Osano PM, 2013, INT J CLIM CHANG STR, V5, P198, DOI 10.1108/17568691311327596
   Osti M., 2015, UNEPS PORTFOLIO ECOS, DOI DOI 10.1371/journal.pone.0064581
   Osuri AM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab5f75
   Pandey SS, 2016, FOREST ECOL MANAG, V360, P400, DOI 10.1016/j.foreco.2015.09.040
   Paritsis J, 2018, FORESTS, V9, DOI 10.3390/f9030117
   Parr CL, 2014, TRENDS ECOL EVOL, V29, P205, DOI 10.1016/j.tree.2014.02.004
   Pascual U, 2017, CURR OPIN ENV SUST, V26-27, P7, DOI 10.1016/j.cosust.2016.12.006
   Peh KSH, 2014, ECOL EVOL, V4, P3875, DOI 10.1002/ece3.1248
   Pukkala T, 2018, J FORESTRY RES, V29, P261, DOI 10.1007/s11676-017-0576-3
   Raza Rizvi A., 2014, NATURE BASED SOLUTIO
   Reddy SMW, 2015, ECOSYST SERV, V12, P94, DOI 10.1016/j.ecoser.2014.12.001
   Reid H., 2019, Is ecosystem-based adaptation effective? Perceptions and Lessons Learned from 13 Project Sites
   Rodriguez R. J., 2017, NOTICIAS MAGAZINE
   Rodríguez-Tapia L, 2017, ECONOMIES, V5, DOI 10.3390/economies5020012
   Roe S, 2019, NAT CLIM CHANGE, V9, P817, DOI 10.1038/s41558-019-0591-9
   Rowinski PM, 2018, ECOHYDROL HYDROBIOL, V18, P345, DOI 10.1016/j.ecohyd.2018.07.003
   Russell-Smith J, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143426
   Seddon N, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.8
   Seddon N, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0120
   Seddon N, 2019, NAT CLIM CHANGE, V9, P84, DOI 10.1038/s41558-019-0405-0
   Seijo F, 2015, LAND USE POLICY, V47, P130, DOI 10.1016/j.landusepol.2015.03.006
   Selig ER, 2019, CONSERV LETT, V12, DOI 10.1111/conl.12617
   Shao MA, 2018, VADOSE ZONE J, V17, DOI 10.2136/vzj2017.04.0077
   Shelton AJ, 2016, ESTUAR COAST SHELF S, V183, P430, DOI 10.1016/j.ecss.2016.06.027
   Sjögersten S, 2013, LAND USE POLICY, V32, P125, DOI 10.1016/j.landusepol.2012.09.014
   Smith AC, 2017, ECOSYST SERV, V26, P111, DOI 10.1016/j.ecoser.2017.06.006
   Smith P, 2020, GLOBAL CHANGE BIOL, V26, P1532, DOI 10.1111/gcb.14878
   Stefanakis AI, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11246981
   Tidball KG, 2018, SUSTAIN SCI, V13, P797, DOI 10.1007/s11625-017-0506-5
   Trac CJ, 2013, ENVIRON PRAC, V15, P350, DOI 10.1017/S1466046613000355
   UNFCCC, 2015, FCCCCP2015L9REV1
   Van Coppenolle R, 2020, GLOBAL PLANET CHANGE, V187, DOI 10.1016/j.gloplacha.2020.103125
   van der Werf GR, 2017, EARTH SYST SCI DATA, V9, P697, DOI 10.5194/essd-9-697-2017
   Volkova L, 2017, FOREST ECOL MANAG, V405, P92, DOI 10.1016/j.foreco.2017.09.032
   Wada CA, 2017, PAC SCI, V71, P401, DOI 10.2984/71.4.2
   Wallace B.C., 2012, IHI 12 P 2 ACM SIGHI, P819, DOI [DOI 10.1145/2110363.2110464, 10.1145/2110363.2110464]
   Ward SE, 2016, GLOBAL CHANGE BIOL, V22, P2929, DOI 10.1111/gcb.13246
   Wild TC, 2017, ENVIRON RES, V158, P179, DOI 10.1016/j.envres.2017.05.043
   World Bank, 2020, COUNTR LEND GROUPS
   World Economic Forum (WEF), 2020, Nature risk rising: Why the crisis engulfing nature matters for business and the economy
   Woroniecki S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030772
   Salinas CX, 2013, MITIG ADAPT STRAT GL, V18, P1269, DOI 10.1007/s11027-012-9421-3
   Yang W, 2013, PLOS ONE, V8, DOI [10.1371/journal.pone.0076447, 10.1371/journal.pone.0064581]
   Yu BW, 2020, J FORESTRY RES, V31, P443, DOI 10.1007/s11676-018-0760-0
   Zari MP, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100968
NR 137
TC 291
Z9 302
U1 82
U2 540
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 NOV
PY 2020
VL 26
IS 11
BP 6134
EP 6155
DI 10.1111/gcb.15310
EA SEP 2020
PG 22
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA OC5FN
UT WOS:000567440200001
PM 32906226
OA Green Published, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Undurraga, R
   Vicuña, S
   Melo, O
AF Undurraga, Rafael
   Vicuna, Sebastian
   Melo, Oscar
TI Compensating Water Service Interruptions to Implement a Safe-to-Fail
   Approach to Climate Change Adaptation in Urban Water Supply
SO WATER
LA English
DT Article
DE climate change; adaptation; willingness to accept compensation; choice
   experiment; unplanned water interruptions; safe-to-fail
ID DRINKING-WATER; CHANGE IMPACTS; WILLINGNESS; MANAGEMENT; CHILE; PAY
AB A city resilient to climate change is characterized by effectively responding to and recovering from the negative impacts of climate hazards. In the city of Santiago, Chile, extreme weather that can be associated with a nascent manifestation of climate change has caused high-turbidity events, repeatedly forcing the main water company to interrupt the supply of drinking water, affecting millions of people. This study proposes a transformative response to reduce harm from extreme events due to climate change. The traditional approach of increasing resilience through large infrastructure works can be complemented by one-off reductions in water use during emergencies, in exchange for economic compensation. This alternative seeks to transfer the individual responsibility of water companies to a collective one, where the community is an active agent that reduces damage in the face of extreme events resulting from climate change. In the assessment of this response, we used a choice experiment to estimate the minimum amount users are willing to accept in compensation for water service interruptions. The results show that willingness to accept compensation is significant (close to 0.6 USD/hour) and decreases when users have experienced additional unplanned interruptions. The aggregate cost of the compensation is lower than infrastructure investments required to avoid service interruptions under various future hypothetical hydroclimatic scenarios associated with climate change impacts. Therefore, compensation-based instruments for water service interruptions could be a more flexible and cost-effective alternative to infrastructure-based measures to cope with future climate hazards.
C1 [Undurraga, Rafael; Vicuna, Sebastian] Pontificia Univ Catolica Chile, Sch Engn, Dept Hydraul & Environm Engn, Santiago 7820436, Chile.
   [Vicuna, Sebastian; Melo, Oscar] Pontificia Univ Catolica Chile, Ctr Interdisciplinario Cambio Global, Santiago 7820436, Chile.
   [Vicuna, Sebastian] Ctr Invest Gest Integrada Riesgo Desastres, ANID Fondap 15110017, Santiago 7820436, Chile.
   [Melo, Oscar] Pontificia Univ Catolica Chile, Dept Agr Econ, Santiago 7820436, Chile.
   [Melo, Oscar] Millennium Nucleus Ctr Socioecon Impact Environm, Santiago 7820436, Chile.
C3 Pontificia Universidad Catolica de Chile; Pontificia Universidad
   Catolica de Chile; Pontificia Universidad Catolica de Chile
RP Undurraga, R (corresponding author), Pontificia Univ Catolica Chile, Sch Engn, Dept Hydraul & Environm Engn, Santiago 7820436, Chile.
EM rundurraga1@uc.cl; svicuna@ing.puc.cl; omelo@uc.cl
RI melo, oscar/N-8872-2014; Vicuna, Sebastian/M-2747-2016
OI melo, oscar/0000-0002-9136-5413; Vicuna, Sebastian/0000-0001-6971-0068
FU Centro de Cambio Global UC; ANID through project FONDECYT [Nffi1171133];
   ANID/FONDAP Grant [15110017, 15110020]
FX The authors are thankful for the funding from Centro de Cambio Global
   UC, ANID through project FONDECYT Nffi1171133, and ANID/FONDAP Grant
   Nos. 15110017 (CIGIDEN) and 15110020 (CEDEUS).
CR AguasAndinas S .A., 2018, S A REP INT 2018
   AguasAndinas S .A., 2017, S A MEM AN 2017
   Ahern J, 2011, LANDSCAPE URBAN PLAN, V100, P341, DOI 10.1016/j.landurbplan.2011.02.021
   [Anonymous], 2018, SUSTAINABILITY BASEL, DOI DOI 10.3390/SU10061704
   [Anonymous], 2011, Stata statistical software: Release 12
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Bozkurt D., 2017, Hydrology and Earth System Sciences Discussions, P1, DOI DOI 10.5194/HESS-2016-690
   Butler D, 2014, PROCEDIA ENGINEER, V89, P347, DOI 10.1016/j.proeng.2014.11.198
   Butler D, 2017, GLOB CHALL, V1, P63, DOI 10.1002/gch2.1010
   Choice Metrics, 2011, NGEN 1 1 US MAN REF
   Demaria EMC, 2013, J HYDROL, V502, P128, DOI 10.1016/j.jhydrol.2013.08.027
   Fletcher SM, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000823, 10.1061/(ASCE)WR.1943-5452.0000823]
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Garreaud R, 2013, J HYDROMETEOROL, V14, P1515, DOI 10.1175/JHM-D-12-0135.1
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   GWI, GLOB WAT INT WAT TAR
   Hanley N, 2001, J ECON SURV, V15, P435, DOI 10.1111/1467-6419.00145
   Hensher D, 2005, ENVIRON RESOUR ECON, V32, P509, DOI 10.1007/s10640-005-7686-7
   Hensher D. A., 2018, APPL DISCRETE CHOICE
   KatchovaAni L, MIXED LOGIT MODEL ST
   Kenney DS, 2004, J AM WATER RESOUR AS, V40, P77, DOI 10.1111/j.1752-1688.2004.tb01011.x
   Latinopoulos D, 2014, J INTEGR ENVIRON SCI, V11, P187, DOI 10.1080/1943815X.2014.942746
   Luh J, 2015, CLIMATIC CHANGE, V133, P665, DOI 10.1007/s10584-015-1493-0
   MacDonald DH, 2010, WATER RESOUR MANAG, V24, P3145, DOI 10.1007/s11269-010-9599-7
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   MIDESO, 2018, GOB CHIL PREC SOC
   Molinos-Senante M, 2017, SCI TOTAL ENVIRON, V586, P642, DOI 10.1016/j.scitotenv.2017.02.036
   [Pachauri RK. IPCC IPCC], 2014, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, P117
   Pollard S, 2016, RISK MANAGEMENT WATE, DOI [10.2166/9781780407487, DOI 10.2166/9781780407487]
   Rosenzweig C, 2018, URBAN WATER SYSTEMS, P519, DOI [10.1017/9781316563878.021, DOI 10.1017/9781316563878.021]
   SII, NUEV TABL VID UT BIE
   Stevens MR, 2010, NAT HAZARDS, V53, P605, DOI 10.1007/s11069-009-9450-8
   Syme GJ, 2000, EVALUATION REV, V24, P539, DOI 10.1177/0193841X0002400601
   Vicuna S, 2014, WATER INT, V39, P620, DOI 10.1080/02508060.2014.945068
   Vicuña S, 2018, WATER INT, V43, P237, DOI 10.1080/02508060.2017.1416444
   Vicuña S, 2013, HYDROLOG SCI J, V58, P1598, DOI 10.1080/02626667.2013.840380
   Wharton K., RESILIENT CITIES FAI
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
NR 39
TC 9
Z9 9
U1 0
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD JUN
PY 2020
VL 12
IS 6
AR 1540
DI 10.3390/w12061540
PG 18
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA MR9DX
UT WOS:000553890300001
OA gold
DA 2025-01-10
ER

PT J
AU Kansanga, MM
   Mkandawire, P
   Kuuire, V
   Luginaah, I
AF Kansanga, Moses Mosonsieyiri
   Mkandawire, Paul
   Kuuire, Vincent
   Luginaah, Isaac
TI Agricultural mechanization, environmental degradation, and gendered
   livelihood implications in northern Ghana
SO LAND DEGRADATION & DEVELOPMENT
LA English
DT Article
DE land degradation; new Green Revolution; rural livelihoods; smallholder
   agriculture; tractors
ID NATURAL-RESOURCE MANAGEMENT; CLIMATE-CHANGE ADAPTATION; CONSERVATION
   AGRICULTURE; CARBON SEQUESTRATION; POLITICAL ECOLOGY; WOMENS
   LIVELIHOODS; LAND-USE; AGROFORESTRY; SCALE; SYSTEMS
AB This paper draws theoretical insights from political ecology to examine the environmental and livelihood impacts of smallholder agricultural mechanization in Ghana in the context of the ongoing pursuit of a new Green Revolution for Africa. Our findings highlight the complex linkages between agricultural development, environmental degradation, and rural livelihoods. Despite the associated increased returns-to-scale in agricultural productivity and enhanced speed in land preparation with tractor-based mechanization, the clearing of major trees on farmlands as a precondition for obtaining ploughing services encourages land degradation, including the depletion of vital naturally growing tree species-shea (Vitellaria paradoxa) and dawadawa (Parkia biglobosa)-that have critical food provisioning, cultural, and socioeconomic value. The drive towards extensification has further produced competitive forces that fuel the appropriation of previously inalienable communal lands and weakening of longstanding norms that mediate environmental resource conservation and use. This situation is poised to alter customary land governance and the basis on which women assert their rights to land-based resources including shea and dawadawa. Marginalized women are progressively shifting their livelihood strategies into environmentally unsustainable subsistence activities. This study demonstrates the adverse ecological, socioeconomic, and political impacts of agricultural mechanization when implemented in agrarian societies marked by widespread poverty and pervasive gender inequities. Given the growing centrality of tractors and trees to rural livelihoods, we recommend conservation agriculture for the simultaneous promotion of sustainable agriculture and environmental conservation. Relevant social policies must also be implemented to ameliorate the adverse livelihood impacts of these agrarian reforms.
C1 [Kansanga, Moses Mosonsieyiri; Luginaah, Isaac] Univ Western Ontario, Dept Geog, Social Sci Ctr, 1151 Richmond St, London, ON N6A 5C2, Canada.
   [Mkandawire, Paul] Carleton Univ, Inst Interdisciplinary Studies, 1125 Colonel By Dr, Ottawa, ON K1S 5B6, Canada.
   [Kuuire, Vincent] Univ Toronto, Dept Geog & Planning, 3359 Mississauga Rd N, Mississauga, ON L5L 1C6, Canada.
C3 Western University (University of Western Ontario); Carleton University;
   University of Toronto
RP Kansanga, MM (corresponding author), Univ Western Ontario, Dept Geog, Social Sci Ctr, 1151 Richmond St, London, ON N6A 5C2, Canada.
EM mkansang@uwo.ca
OI Kuuire, Vincent Z./0000-0003-2782-3915; Luginaah,
   Isaac/0000-0001-7858-3048
FU Nordic Africa Institute [NAI2015/120]
FX Nordic Africa Institute, Grant/Award Number: NAI2015/120
CR Abbas F, 2017, ENVIRON SCI POLLUT R, V24, P11177, DOI 10.1007/s11356-017-8687-0
   Abubakari Z, 2016, LAND USE POLICY, V54, P386, DOI 10.1016/j.landusepol.2016.02.033
   Adger WN, 2001, DEV CHANGE, V32, P681, DOI 10.1111/1467-7660.00222
   AGARWAL B, 1992, FEMINIST STUD, V18, P119, DOI 10.2307/3178217
   Ahmed A, 2018, LAND USE POLICY, V75, P570, DOI 10.1016/j.landusepol.2018.04.033
   AKRAMOV K, 2012, 28 GHAN STRAT SUPP P
   Althor G, 2018, AMBIO, V47, P747, DOI 10.1007/s13280-018-1022-2
   ALTIERI MA, 2017, SUSTAINABILITY BASEL, V9
   Angsongna A., 2016, Global Bioethics, V27, P91, DOI [DOI 10.1080/11287462.2016.1212608, 10.1080/11287462.2016]
   [Anonymous], 1996, ROME DECLARATION WOR
   [Anonymous], 2014, GHANA LIVING STANDAR
   Antwi EK, 2018, SCI SUSTAIN SOC, P265, DOI 10.1007/978-981-10-4796-1_15
   Apusigah AA, 2009, FEM AFR, P51
   Attua E. M., 2013, Journal of Applied Biosciences, V69, P5437
   Babu SC, 2018, ENVIRON DEV, V25, P111, DOI 10.1016/j.envdev.2018.01.001
   Baudron F, 2015, ENVIRONMENTS, V2, P338, DOI 10.3390/environments2030338
   Baudron F, 2009, BIODIVERS CONSERV, V18, P2625, DOI 10.1007/s10531-009-9663-x
   Baziari F, 2019, AGROFOREST SYST, V93, P557, DOI 10.1007/s10457-017-0150-1
   Bello-Bravo J, 2015, SUSTAINABILITY-BASEL, V7, P5752, DOI 10.3390/su7055752
   BENIN S, 2013, SSRN ELECT J
   Benin S, 2015, AGR ECON-BLACKWELL, V46, P103, DOI 10.1111/agec.12201
   Blaikie P. M., 1989, Land Degradation & Rehabilitation, V1, P23, DOI 10.1002/ldr.3400010104
   Blaikie PiersHarold Brookfield., 1987, LAND DEGRADATION SOC
   Boafo Yaw Agyeman, 2016, International Journal of Biodiversity Science Ecosystem Services & Management, V12, P24, DOI 10.1080/21513732.2015.1124454
   Boateng P.K., 2017, Soc Sci, V6, P1, DOI [DOI 10.3390/SOCSCI6010035, 10.3390/socsci6010035]
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Boserup E., 1965, The Conditions of Agricultural Growth: The Economics of Agrarian Change under Population Pressure
   BOYCE JK, 1994, ECOL ECON, V11, P169, DOI 10.1016/0921-8009(94)90198-8
   Bringer JD, 2006, FIELD METHOD, V18, P245, DOI 10.1177/1525822X06287602
   Bryant Raymond., 1997, 3 WORLD POLITICAL EC
   Capps KA, 2016, FRESHW SCI, V35, P429, DOI 10.1086/684945
   Cardinall AllanWolsey., 1852, The natives of the northern territories of the Gold Coast: their customs, religion and folklore
   CARNEY J, 1993, ECON GEOGR, V69, P329, DOI 10.2307/143593
   CARNEY J, 1991, SIGNS, V16, P651, DOI 10.1086/494698
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Clement F, 2019, INT J COMMONS, V13, P1, DOI 10.18352/ijc.972
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   D'Odorico P, 2017, LAND DEGRAD DEV, V28, P2234, DOI 10.1002/ldr.2750
   Daley E, 2014, FEM ECON, V20, P178, DOI 10.1080/13545701.2013.860232
   Dalton TJ, 2014, AGR ECOSYST ENVIRON, V187, P65, DOI 10.1016/j.agee.2013.11.015
   Daum T, 2017, FOOD SECUR, V9, P959, DOI 10.1007/s12571-017-0716-9
   De Giusti G, 2019, CLIMATIC CHANGE, V153, P379, DOI 10.1007/s10584-019-02390-0
   De Stefano A, 2018, AGROFOREST SYST, V92, P285, DOI 10.1007/s10457-017-0147-9
   de Vos R, 2018, GEOFORUM, V96, P217, DOI 10.1016/j.geoforum.2018.08.011
   DEI GJS, 1992, HUM ECOL, V20, P57, DOI 10.1007/BF00889696
   Delgado-Serrano MD, 2018, REG ENVIRON CHANGE, V18, P581, DOI 10.1007/s10113-017-1223-4
   Diao XS, 2014, FOOD POLICY, V48, P168, DOI 10.1016/j.foodpol.2014.05.013
   DUNKELMAN A, 2018, WATER ENERGY FOOD PE
   Elias M, 2013, SOCIOL RURALIS, V53, P158, DOI 10.1111/soru.12007
   Elmhirst R, 2011, GEOFORUM, V42, P129, DOI 10.1016/j.geoforum.2011.01.006
   Escobar A., 2006, Development (London), V49, P6, DOI 10.1057/palgrave.development.1100267
   ESCOBAR A, 1998, J POL ECOL, V5, P58
   Fensholt R, 2015, GLOBAL ECOL BIOGEOGR, V24, P1003, DOI 10.1111/geb.12338
   Fletcher Robert., 2010, Conservation and Society, V8, P171, DOI [10.4103/0972-4923.73806, DOI 10.4103/0972-4923.73806]
   Foli S, 2018, ENVIRON MANAGE, V62, P82, DOI 10.1007/s00267-017-0866-8
   FONTEH MF, 2010, 8 FAO UN, P1
   Ghana Statistical Service, 2014, 2010 POP HOUS CENS D
   Ham JR, 2017, FOOD CULT SOC, V20, P237, DOI 10.1080/15528014.2017.1305827
   HAMMOND J, 2019, CLIMATE SMART AGR PA
   HOUSSOU N, 2014, CHANGING LANDSCAPE A, P52
   Houssou N, 2013, AM J AGR ECON, V95, P1237, DOI 10.1093/ajae/aat026
   Jasaw GS, 2018, SCI SUSTAIN SOC, P193, DOI 10.1007/978-981-10-4796-1_11
   Kansanga M, 2019, INT J SUST DEV WORLD, V26, P11, DOI 10.1080/13504509.2018.1491429
   Kansanga M, 2018, LAND USE POLICY, V75, P215, DOI 10.1016/j.landusepol.2018.03.047
   Kansanga MM, 2019, GEND TECHNOL DEV, V23, P207, DOI 10.1080/09718524.2019.1687799
   Kansanga MM, 2019, LAND USE POLICY, V86, P12, DOI 10.1016/j.landusepol.2019.04.031
   Kansanga MM, 2019, WORLD DEV, V113, P131, DOI 10.1016/j.worlddev.2018.09.002
   Kansanga MM, 2017, INT J AGR SUSTAIN, V15, P708, DOI 10.1080/14735903.2017.1399515
   KASANGA RK, 2002, DYNAMICS RESOURCE 10
   Kay S, 2019, LAND USE POLICY, V83, P581, DOI 10.1016/j.landusepol.2019.02.025
   Kellert SR, 2000, SOC NATUR RESOUR, V13, P705, DOI 10.1080/089419200750035575
   Kent R, 2018, SOC NATUR RESOUR, V31, P367, DOI 10.1080/08941920.2017.1382626
   Kimura AH, 2014, J RURAL STUD, V34, P108, DOI 10.1016/j.jrurstud.2013.12.006
   Kleemann J, 2017, J ENVIRON MANAGE, V196, P411, DOI 10.1016/j.jenvman.2017.01.053
   Kuuire VZ, 2016, AGR HUM VALUES, V33, P475, DOI 10.1007/s10460-015-9612-0
   Kuusaana ED, 2015, LAND USE POLICY, V48, P454, DOI 10.1016/j.landusepol.2015.06.030
   Lambrecht IB, 2016, WORLD DEV, V88, P188, DOI 10.1016/j.worlddev.2016.07.018
   Lau JD, 2016, GEOFORUM, V69, P136, DOI 10.1016/j.geoforum.2016.01.002
   Lovett PN, 2000, AGROFOREST SYST, V48, P273, DOI 10.1023/A:1006379217851
   Luginaah I, 2009, ENVIRONMENT AND HEALTH IN SUB-SAHARAN AFRICA: MANAGING AN EMERGING CRISIS, P25, DOI 10.1007/978-1-4020-9382-1_2
   Ma WL, 2018, AUST J AGR RESOUR EC, V62, P279, DOI 10.1111/1467-8489.12249
   Mainali B, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030815
   Middendorp RS, 2018, LANDSCAPE ECOL, V33, P1953, DOI 10.1007/s10980-018-0714-0
   Mollett S, 2013, GEOFORUM, V45, P118, DOI 10.1016/j.geoforum.2012.10.009
   Nair PKR, 2009, J PLANT NUTR SOIL SC, V172, P10, DOI 10.1002/jpln.200800030
   Naughton CC, 2015, APPL GEOGR, V58, P217, DOI 10.1016/j.apgeog.2015.02.007
   Ndoli A, 2018, FIELD CROP RES, V221, P238, DOI 10.1016/j.fcr.2018.03.003
   NGELEZA GK, 2011, 01074 INT FOOD POL R
   Nyadanu D, 2017, GENET RESOUR CROP EV, V64, P1231, DOI 10.1007/s10722-016-0432-x
   Nyantakyi-Frimpong H, 2017, J PEASANT STUD, V44, P421, DOI 10.1080/03066150.2016.1228629
   Okpara UT, 2019, LAND DEGRAD DEV, V30, P1368, DOI 10.1002/ldr.3326
   Osei-Tutu P, 2017, FOREST POLICY ECON, V85, P114, DOI 10.1016/j.forpol.2017.09.009
   Perreault T., 2015, ROUTLEDGE HDB POLITI, DOI DOI 10.4324/9781315759289
   Pingali P. L., 1987, Population growth and economic development: Issues and evidence, P27
   Pouliot M, 2012, ECON BOT, V66, P237, DOI 10.1007/s12231-012-9203-6
   Rademacher-Schulz C, 2014, CLIM DEV, V6, P46, DOI 10.1080/17565529.2013.830955
   Ragsdale K, 2018, J RURAL STUD, V64, P123, DOI 10.1016/j.jrurstud.2018.09.013
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Resurrección BP, 2017, ROUT INT HANDB, P71
   Ribot JC, 2003, RURAL SOCIOL, V68, P153, DOI 10.1111/j.1549-0831.2003.tb00133.x
   Rizvi RH, 2019, J EARTH SYST SCI, V128, DOI 10.1007/s12040-019-1071-3
   Rocheleau Dianne., 1996, FEMINIST POLITICAL E
   Sheahan M, 2017, FOOD POLICY, V67, P12, DOI 10.1016/j.foodpol.2016.09.010
   Song XP, 2018, NATURE, V560, P639, DOI 10.1038/s41586-018-0411-9
   Takeshima H, 2018, FOOD POLICY, V77, P33, DOI 10.1016/j.foodpol.2018.04.001
   Van Aelst K, 2016, WORLD DEV, V79, P40, DOI 10.1016/j.worlddev.2015.11.003
   WAY SA, 2016, GOVERNING GLOBAL DES, P27
   Westerink J, 2017, LAND USE POLICY, V69, P176, DOI 10.1016/j.landusepol.2017.09.002
   Whitehead A, 2002, J S AFR STUD, V28, P575, DOI 10.1080/0305707022000006521
   Willow AJ, 2014, J POLIT ECOL, V21, P237, DOI 10.2458/v21i1.21135
   Willy DK, 2019, LAND USE POLICY, V81, P100, DOI [10.1016/j.landusepol.2018.10.046, 10.1064/j.landusepol.2018.10.046]
   YANDA PZ, 2018, UTAFITI J, V7, P67
   Yaro JA, 2010, GEOJOURNAL, V75, P199, DOI 10.1007/s10708-009-9301-x
NR 113
TC 26
Z9 29
U1 2
U2 48
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 JUL 15
PY 2020
VL 31
IS 11
BP 1422
EP 1440
DI 10.1002/ldr.3490
EA FEB 2020
PG 19
WC Environmental Sciences; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Agriculture
GA MJ1TT
UT WOS:000512720100001
DA 2025-01-10
ER

PT J
AU Rao, N
   Singh, C
   Solomon, D
   Camfield, L
   Sidiki, R
   Angula, M
   Poonacha, P
   Sidibe, A
   Lawson, ET
AF Rao, Nitya
   Singh, Chandni
   Solomon, Divya
   Camfield, Laura
   Sidiki, Rahina
   Angula, Margaret
   Poonacha, Prathigna
   Sidibe, Amadou
   Lawson, Elaine T.
TI Managing risk, changing aspirations and household dynamics: Implications
   for wellbeing and adaptation in semi-arid Africa and India
SO WORLD DEVELOPMENT
LA English
DT Article
DE Gender; Adaptation; Household dynamics; Wellbeing; Aspirations; Risk
   management
ID CLIMATE-CHANGE ADAPTATION; FOOD SECURITY; COLLECTIVE ACTION;
   OUT-MIGRATION; SOUTH-ASIA; GENDER; COMMUNITIES; WOMEN; WORK; RETHINKING
AB Semi-arid regions across Africa and Asia are characterized by rapidly changing biophysical regimes, structural vulnerabilities, and increasing livelihood precarity. Gender, class, and caste/ethnic identities and relationships, and the specific social, economic and political power, roles and responsibilities they entail, shape the choices and decisions open to individuals and households in managing the risks they face. Unpacking the multiple, intersecting inequalities confronting rural populations in these climate hotspots is therefore vital to understand how risk can be managed in a way that supports effective, inclusive, and sustainable local adaptation. Drawing on empirical evidence from six countries, generated through a mixed methods approach, we examine how changes in household dynamics, structure, and aspirations, shape risk management with implications for household well-being, adaptive capacity, and ultimately sustainable development. The ability of individuals within households, differentiated by age, marital status, or education, to manipulate the very structure of the household and the material and social resources it offers, differentiates risk management strategies such as livelihood diversification, migration, changing agricultural practices and leveraging social support. Our evidence suggests that while greater risks can drive conflictive behavior within households, with women often reporting lower subjective wellbeing, new forms of cooperative behavior are also emerging, especially in peni-urban spaces. Through this study, we identify entry points into enabling sustainable and inclusive adaptation behavior, emphasizing that interventions should work for both women and men by challenging inequitable social and gender norms and renegotiating the domains of work and cooperation to maintain overall household wellbeing. (C) 2019 The Author(s). Published by Elsevier Ltd.
C1 [Rao, Nitya; Camfield, Laura] Univ East Anglia, Sch Int Dev, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
   [Singh, Chandni; Poonacha, Prathigna] Indian Inst Human Settlements, Sch Environm & Sustainabil, Bangalore, Karnataka, India.
   [Solomon, Divya] Ashoka Trust Res Ecol & Environm, Bangalore, Karnataka, India.
   [Sidiki, Rahina] Univ Dev Studies, Fac Earth & Environm Sci, Navrongo, Ghana.
   [Angula, Margaret] Univ Namibia, Dept Geog Hist & Environm Studies, Windhoek, Namibia.
   [Sidibe, Amadou] Rural Polytech Inst Training & Appl Res IPR IFRA, Koulikoro, Mali.
   [Lawson, Elaine T.] Univ Ghana, IESS, Accra, Ghana.
C3 University of East Anglia; Indian Institute for Human Settlements
   (IIHS); University for Development Studies; University of Namibia;
   University of Ghana
RP Rao, N (corresponding author), Univ East Anglia, Sch Int Dev, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England.
EM N.Rao@uea.ac.uk; csingh@iihs.ac.in; Lcamfield@uea.ac.uk;
   rsidiki_alare@st.ug.edu.gh; mangula@unam.na; ppoonacha@iihs.ac.in;
   sidibe.amadouy@gmail.com; elaine_t@staff.ug.edu.gh
RI Singh, Chandni/H-8384-2019
OI Angula, Margaret Ndapewa/0000-0002-3973-0225; Solomon,
   Divya/0000-0003-0373-9356; Camfield, Laura/0000-0002-0165-9857
FU Adaptation at Scale in Semi-Arid Regions (ASSAR) project, part of the
   Collaborative Adaptation Research Initiative in Africa; Asia (CARIAA);
   UK Government's Department for International Development (DfID);
   International Development Research Centre (IDRC), Canada
FX This work was carried out under the Adaptation at Scale in Semi-Arid
   Regions (ASSAR) project, part of the Collaborative Adaptation Research
   Initiative in Africa and Asia (CARIAA), with financial support from the
   UK Government's Department for International Development (DfID) and the
   International Development Research Centre (IDRC), Canada. The views
   expressed in this work are those of the creators and do not necessarily
   represent those of DfID and IDRC or its Board of Governors. We would
   like to thank Arindam Jana for his support with secondary data analysis
   and Lucia Scodanibbio for support and encouragement at various stages of
   the collaborative writing process. Thank you to research teams and
   respondents across the six study countries without whom this paper would
   not have been possible.
CR Adams AM, 1998, AFRICA, V68, P263, DOI 10.2307/1161281
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   Adger WN, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2018.0106
   Adger WN, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/060201
   Adger WN, 2003, ECON GEOGR, V79, P387
   Ahmed A, 2016, ENVIRON DEV, V20, P45, DOI 10.1016/j.envdev.2016.08.002
   Ahmed S., 2009, Gender and Development, V17, P33, DOI 10.1080/13552070802696896
   Andersson E, 2012, INT J AGR SUSTAIN, V10, P245, DOI 10.1080/14735903.2012.666029
   [Anonymous], ECOLOGY SOC
   [Anonymous], SOCIAL DIFFERENTIATI
   [Anonymous], 8 TVND CTR CLIM CHAN
   [Anonymous], ROUTLEDGE HDB GENDER
   [Anonymous], 4 ASSAR
   [Anonymous], 0702 IRI
   [Anonymous], 2010, GENDER CLIMATE CHANG
   [Anonymous], EC DEM WORKSH
   [Anonymous], EC POLITICAL WEEKLY
   [Anonymous], FARMERS PERCEPTIONS
   [Anonymous], 2015, GENDER PLACE CULT, DOI DOI 10.1080/0966369X.2014.885888
   [Anonymous], AGR FOOD SECURITY
   [Anonymous], IBS POPULATION PROGR
   [Anonymous], C AD FUT 2018 CAP TO
   [Anonymous], MIGRATION GENDER FAR
   [Anonymous], 2008, EUR J DEV RES
   [Anonymous], GENDERED INTERSECTIO
   [Anonymous], GENDERED DIMENSIONS
   [Anonymous], 2018, CLIM RISK MANAG, DOI DOI 10.1016/j.crm.2018.06.001
   [Anonymous], TRANSRE FACT SHEET I
   [Anonymous], WHAT HAVE WE LEARNT
   [Anonymous], 2000, 46 IDS
   [Anonymous], J AGR SCI 1
   [Anonymous], NATURE CLIMATE CHANG
   [Anonymous], FEMALE HOUSEHOLD HEA
   [Anonymous], EUROPEAN J DEV RES
   Antwi-Agyei P, 2017, REG ENVIRON CHANGE, V17, P213, DOI 10.1007/s10113-016-0993-4
   Appadurai Arjun., 2004, Culture and Public Action, P59
   Arku F. S., 2010, Gender and Development, V18, P115, DOI 10.1080/13552071003600091
   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
   Bardsley DK, 2010, POPUL ENVIRON, V32, P238, DOI 10.1007/s11111-010-0126-9
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Below TB, 2015, REG ENVIRON CHANGE, V15, P1169, DOI 10.1007/s10113-014-0620-1
   Bettini G, 2017, GEOGR J, V183, P348, DOI 10.1111/geoj.12192
   Bhatta GD, 2016, CLIM DEV, V8, P145, DOI 10.1080/17565529.2015.1016883
   Bhatta GD, 2015, J RURAL COMMUNITY D, V10, P1
   Bhattarai B, 2015, WORLD DEV, V70, P122, DOI 10.1016/j.worlddev.2015.01.003
   Bird K., 2007, 286 ODI
   Bowles S, 2005, UNEQUAL CHANCES: FAMILY BACKGROUND AND ECONOMIC SUCCESS, P1
   Brown K, 2011, ANNU REV ENV RESOUR, V36, P321, DOI 10.1146/annurev-environ-052610-092905
   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
   Bunce A, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/123003
   Carr ER, 2014, GEOGR COMPASS, V8, P182, DOI 10.1111/gec3.12121
   Chandni Singh Chandni Singh, 2019, Migration and Development, V8, P301
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Coulthard S, 2011, GLOBAL ENVIRON CHANG, V21, P453, DOI 10.1016/j.gloenvcha.2011.01.003
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Djoudi H, 2016, AMBIO, V45, pS248, DOI 10.1007/s13280-016-0825-2
   Ellis F., 2000, Rural Livelihood and Diversity in Developing Countries
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   Flato M, 2017, WORLD DEV, V90, P41, DOI 10.1016/j.worlddev.2016.08.015
   Ford J.D., 2014, REG ENVIRON CHANGE, V15, P801, DOI DOI 10.1007/S10113-014-0648-2
   Gladwin CH, 2001, FOOD POLICY, V26, P177, DOI 10.1016/S0306-9192(00)00045-2
   Goh A.H.X., 2012, LIT REV GENDER DIFFE, DOI [DOI 10.2499/CAPRIWP106, 10.2499/CAPRIWP106]
   GROWN CA, 1989, WORLD DEV, V17, P937, DOI 10.1016/0305-750X(89)90159-9
   Hamilton S, 2003, MEX STUD, V19, P433, DOI 10.1525/msem.2003.19.2.433
   Harriss-White B., 1997, Intrahousehold resource allocation in developing countries: models, methods, and policy., P194
   Hoque SF, 2017, ECOL SOC, V22, DOI 10.5751/ES-09422-220245
   JACKSON C, 1993, WORLD DEV, V21, P1947, DOI 10.1016/0305-750X(93)90068-K
   Jackson C, 2015, DEV CHANGE, V46, P1, DOI 10.1111/dech.12141
   Jerneck A, 2018, SUSTAIN SCI, V13, P403, DOI 10.1007/s11625-017-0464-y
   JIGGINS J, 1986, IDS BULL-I DEV STUD, V17, P9, DOI 10.1111/j.1759-5436.1986.mp17003003.x
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kabeer N, 1999, DEV CHANGE, V30, P435, DOI 10.1111/1467-7660.00125
   Kilroy G, 2015, REG ENVIRON CHANGE, V15, P771, DOI 10.1007/s10113-014-0709-6
   Lawson ET, 2020, GEOJOURNAL, V85, P439, DOI 10.1007/s10708-019-09974-4
   Lee JuneJ.H., 2015, World Migration Report
   Lockwood M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07203-200137
   Masson-Delmotte V., 2018, IPCC Report: Global Warming of 1.5C
   Masters WA, 2013, GLOB FOOD SECUR-AGR, V2, P156, DOI 10.1016/j.gfs.2013.07.002
   Miller BD, 1997, SOC SCI MED, V44, P1685, DOI 10.1016/S0277-9536(96)00371-1
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   Nguyen MTN, 2014, DEV CHANGE, V45, P1385, DOI 10.1111/dech.12130
   Niang I, 2010, GLOBAL PLANET CHANGE, V72, P294, DOI 10.1016/j.gloplacha.2010.01.005
   Niehof A, 2004, FOOD POLICY, V29, P321, DOI 10.1016/j.foodpol.2004.07.009
   Nyantakyi-Frimpong H, 2015, GLOBAL ENVIRON CHANG, V32, P40, DOI 10.1016/j.gloenvcha.2015.03.003
   O'Laughlin B, 2007, DEV CHANGE, V38, P21, DOI 10.1111/j.1467-7660.2007.00401.x
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Petzold J, 2015, OCEAN COAST MANAGE, V112, P36, DOI 10.1016/j.ocecoaman.2015.05.003
   Posel D, 2001, SOC DYNAMICS, V27, P165
   Prasad V., 2009, International Journal of Climate Change: Impacts and Responses, V1, P149
   Pretty J, 2003, SCIENCE, V302, P1912, DOI 10.1126/science.1090847
   Punch S, 2013, LOCAL ENVIRON, V18, P255, DOI 10.1080/13549839.2012.716410
   Quinn CH, 2003, J ENVIRON MANAGE, V68, P111, DOI 10.1016/S0301-4797(03)00013-6
   Rademacher-Schulz C, 2014, CLIM DEV, V6, P46, DOI 10.1080/17565529.2013.830955
   Ramarao MVS, 2019, THEOR APPL CLIMATOL, V136, P693, DOI 10.1007/s00704-018-2513-6
   Rao N, 2019, GEOFORUM, V102, P27, DOI 10.1016/j.geoforum.2019.03.017
   Rao N, 2019, FOOD POLICY, V82, P50, DOI 10.1016/j.foodpol.2018.10.014
   Rao N, 2019, CLIM DEV, V11, P14, DOI 10.1080/17565529.2017.1372266
   Rao N, 2015, GENDER SOC, V29, P410, DOI 10.1177/0891243214554798
   Rao N, 2014, FEM ECON, V20, P78, DOI 10.1080/13545701.2014.923578
   Rao N, 2012, DEV CHANGE, V43, P1025, DOI 10.1111/j.1467-7660.2012.01789.x
   Rao N, 2012, J DEV STUD, V48, P26, DOI 10.1080/00220388.2011.629648
   Ravera F, 2016, AMBIO, V45, pS235, DOI 10.1007/s13280-016-0842-1
   Reader S, 2007, PHILOSOPHY, V82, P579, DOI 10.1017/S0031819107000162
   Ribot J.C., 2005, Climate Variability, Climate Change and Social Vulnerability in the Semi-arid Tropics
   Rigaud KantaKumari., 2018, GROUNDSWELL PREPARIN
   Rigg J, 2006, WORLD DEV, V34, P180, DOI 10.1016/j.worlddev.2005.07.015
   Rivers Louie III, 2018, Environment Systems & Decisions, V38, P33, DOI 10.1007/s10669-017-9669-y
   Robson JP, 2010, POPUL ENVIRON, V32, P263, DOI 10.1007/s11111-010-0121-1
   Sarr B, 2012, ATMOS SCI LETT, V13, P108, DOI 10.1002/asl.368
   Schatz E, 2011, HEALTH PLACE, V17, P598, DOI 10.1016/j.healthplace.2010.12.017
   Scheibelhofer E, 2018, J ETHN MIGR STUD, V44, P999, DOI 10.1080/1369183X.2017.1384151
   Seebens H., 2011, Intra-household Bargaining, Gender Roles in Agriculture and How to Promote Welfare Enhancing Changes
   Sen A., 1990, Persistent inequalities: women and worlddevelopment
   SHIPTON P, 1990, ANNU REV ANTHROPOL, V19, P353
   Singh C, 2020, GEOGR J, V186, DOI 10.1111/geoj.12328
   Singh C, 2018, REG ENVIRON CHANGE, V18, P2417, DOI 10.1007/s10113-018-1358-y
   Solomon DS., 2018, Economic and Political Weekly, V53, P38
   Suckall N, 2017, CLIM DEV, V9, P298, DOI 10.1080/17565529.2016.1149441
   Sultana F, 2014, PROF GEOGR, V66, P372, DOI 10.1080/00330124.2013.821730
   Szabo S., 2018, Migration and Development, V7, P163, DOI DOI 10.1080/21632324.2017.1374506
   THOMASSLAYTER BP, 1992, ECON DEV CULT CHANGE, V40, P809, DOI 10.1086/451978
   Thorat Sukhadeo., 2010, BLOCKED CASTE EC DIS
   Toole S, 2016, CLIMATIC CHANGE, V135, P203, DOI 10.1007/s10584-015-1577-x
   Tschakert P, 2012, ETHICS SOC WELF, V6, P275, DOI 10.1080/17496535.2012.704929
   Van Aelst K, 2016, WORLD DEV, V79, P40, DOI 10.1016/j.worlddev.2015.11.003
   Whitcup SM, 2015, ANN NY ACAD SCI, V1358, P1, DOI 10.1111/nyas.12824
   White S.C., 2015, Relational Wellbeing: A Theoretical and Operational Approach
   White SC, 2010, DEV PRACT, V20, P158, DOI 10.1080/09614520903564199
   Wisner B., 2004, AT RISK, V2nd
NR 134
TC 66
Z9 74
U1 6
U2 73
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 JAN
PY 2020
VL 125
AR 104667
DI 10.1016/j.worlddev.2019.104667
PG 15
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA JN0OZ
UT WOS:000496605200001
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Pescaroli, G
   Alexander, D
AF Pescaroli, Gianluca
   Alexander, David
TI Understanding Compound, Interconnected, Interacting, and Cascading
   Risks: A Holistic Framework
SO RISK ANALYSIS
LA English
DT Article
DE Cascading risk; compounding risk; critical infrastructure; interacting
   risk; interconnected risk; Sendai Framework for Disaster Risk Reduction;
   societal resilience
ID MULTI-HAZARD RISK; CRITICAL INFRASTRUCTURE; NATURAL HAZARDS; DISASTERS;
   RESILIENCE; CHALLENGES; MANAGEMENT; NETWORKS; IMPACTS; SUPPORT
AB In recent years, there has been a gradual increase in research literature on the challenges of interconnected, compound, interacting, and cascading risks. These concepts are becoming ever more central to the resilience debate. They aggregate elements of climate change adaptation, critical infrastructure protection, and societal resilience in the face of complex, high-impact events. However, despite the potential of these concepts to link together diverse disciplines, scholars and practitioners need to avoid treating them in a superficial or ambiguous manner. Overlapping uses and definitions could generate confusion and lead to the duplication of research effort. This article gives an overview of the state of the art regarding compound, interconnected, interacting, and cascading risks. It is intended to help build a coherent basis for the implementation of the Sendai Framework for Disaster Risk Reduction (SFDRR). The main objective is to propose a holistic framework that highlights the complementarities of the four kinds of complex risk in a manner that is designed to support the work of researchers and policymakers. This article suggests how compound, interconnected, interacting, and cascading risks could be used, with little or no redundancy, as inputs to new analyses and decisional tools designed to support the implementation of the SFDRR. The findings can be used to improve policy recommendations and support tools for emergency and crisis management, such as scenario building and impact trees, thus contributing to the achievement of a system-wide approach to resilience.
C1 [Pescaroli, Gianluca; Alexander, David] UCL, Inst Risk & Disaster Reduct, London WC1E 6BT, England.
C3 University of London; University College London
RP Pescaroli, G (corresponding author), UCL, Inst Risk & Disaster Reduct, London WC1E 6BT, England.
EM gianluca.pescaroli@gmail.com
OI Pescaroli, Gianluca/0000-0003-3468-2970
FU European Commission [607579]
FX This work has been carried out under the aegis of the EC FP7 FORTRESS
   project. FORTRESS is funded by the European Commission within FP7-Area
   10.4.1 Preparedness, prevention, mitigation, and planning, TOPIC
   SEC-2013.4.1-2 SEC-2013.2.1-2, Grant 607579. The authors gratefully
   acknowledge Igor Linkov (USACE), Dirk Helbing (ETHZ), Georgios
   Giannopulos (JRC), and Luca Galbusera (JRC) for their precious
   questions, feedbacks, and suggestions during our workshops.
CR Abdolhamidzadeh B, 2011, J LOSS PREVENT PROC, V24, P575, DOI 10.1016/j.jlp.2010.06.013
   Aitsi-Selmi A, 2016, INT J DISAST RISK SC, V7, P1, DOI 10.1007/s13753-016-0081-x
   Alexander D, 2013, INT J DISAST RISK SC, V4, P9, DOI 10.1007/s13753-013-0003-0
   [Anonymous], 2013, NATL HURRIC CENT
   [Anonymous], 1999, NORMAL ACCIDENTS LIV
   [Anonymous], 2012, SCIENCES
   [Anonymous], 1993, Natural Disasters
   [Anonymous], WRITE EMERGENCY PLAN
   [Anonymous], 2016, The global risks report 2016
   Ansell C., 2010, J. Contingencies Crisis Manag, V18, P195, DOI DOI 10.1111/J.1468-5973.2010.00620.X
   Aven T, 2005, RELIAB ENG SYST SAFE, V90, P1, DOI 10.1016/j.ress.2004.10.008
   Aven T, 2016, EUR J OPER RES, V253, P1, DOI 10.1016/j.ejor.2015.12.023
   Aven T, 2010, RELIAB ENG SYST SAFE, V95, P623, DOI 10.1016/j.ress.2010.01.011
   Berariu R, 2015, INT J DISAST RISK RE, V12, P350, DOI 10.1016/j.ijdrr.2015.03.005
   Boin A., 2007, Journal of Contingencies and Crisis Management, V15, P50, DOI [10.1111/j.1468-5973.2007.00504.x, DOI 10.1111/J.1468-5973.2007.00504.X]
   Boin A, 2014, J CONTING CRISIS MAN, V22, P131, DOI 10.1111/1468-5973.12052
   Buldyrev SV, 2010, NATURE, V464, P1025, DOI 10.1038/nature08932
   Cruz A.M., 2004, State of the art in Natech risk management
   Eisner R., 2015, DISASTER RISK MANAGE, P137
   Galaz V, 2011, PUBLIC ADMIN, V89, P361, DOI 10.1111/j.1467-9299.2010.01883.x
   Galbusera L, 2016, ASCE-ASME J RIS UNCE, V2, DOI 10.1061/AJRUA6.0000861
   Gill JC, 2014, REV GEOPHYS, V52, P680, DOI 10.1002/2013RG000445
   Greenberg MR, 2011, RISK ANAL, V31, P1849, DOI 10.1111/j.1539-6924.2011.01627.x
   Guikema S, 2015, RISK ANAL, V35, P560, DOI 10.1111/risa.12416
   Havlin S, 2012, EUR PHYS J-SPEC TOP, V214, P273, DOI 10.1140/epjst/e2012-01695-x
   Helbing D., 2015, SSRN ELECT J, P23
   Helbing D, 2013, NATURE, V497, P51, DOI 10.1038/nature12047
   Helbing D, 2006, FRONTIERS COLL, P319
   Hewitt K., 1995, INT J MASS EMERGENCI, V13, P317, DOI DOI 10.1177/028072709501300307
   Hogan M., 2013, ANYTOWN FINAL REPORT
   Jonkeren O, 2015, NETW SPAT ECON, V15, P253, DOI 10.1007/s11067-014-9259-1
   Kappes MS, 2012, NAT HAZARDS, V64, P1925, DOI 10.1007/s11069-012-0294-2
   Kawata Y, 2011, J DISASTER RES, V6, P176, DOI 10.20965/jdr.2011.p0176
   Khan FI, 1998, PROCESS SAF PROG, V17, P107, DOI 10.1002/prs.680170207
   Krausmann E, 2011, NAT HAZARD EARTH SYS, V11, P921, DOI 10.5194/nhess-11-921-2011
   Kunz M, 2013, NAT HAZARD EARTH SYS, V13, P2579, DOI 10.5194/nhess-13-2579-2013
   Leonard M, 2014, WIRES CLIM CHANGE, V5, P113, DOI 10.1002/wcc.252
   Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227
   Little RG, 2002, J URBAN TECHNOL, V9, P109, DOI 10.1080/106307302317379855
   Liu BY, 2016, NAT HAZARD EARTH SYS, V16, P629, DOI 10.5194/nhess-16-629-2016
   Liu Minquan., 2014, COMPOUND DISASTERS AND COMPOUNDING PROCESSES
   Luiijf H. A. M., 2013, JAHRESFACHTAGUNG VER, P293
   Luiijf H. M., 2009, INT J SYSTEM SYSTEMS, V2, P302
   Macfarlane R., 2015, DECISION SUPPORT TOO
   Marzocchi W., 2009, Principles of multi-risk assessment: Interaction amongst natural and man-induced risks
   May F., 2007, FIRE ENV INNOVATIONS, P446
   Mileti Dennis S., 1999, DISASTERS BY DESIGN
   Millen J. K., 1988, Fourth Aerospace Computer Security Applications Conference (IEEE Cat. No.CH2619-5), P269, DOI 10.1109/ACSAC.1988.113347
   Münzberg T, 2017, TECHNOL FORECAST SOC, V121, P99, DOI 10.1016/j.techfore.2016.11.027
   Newman D.E., 2005, 38th Hawaii International Conference on System Sciences, P1
   Nones M, 2016, INT J RIVER BASIN MA, V14, P195, DOI 10.1080/15715124.2016.1149074
   OECD, 2011, FUT GLOB SHOCKS
   Perry RW., 2005, WHAT IS DISASTER NEW
   Pescaroli G, 2018, SAFETY SCI, V110, P131, DOI 10.1016/j.ssci.2017.12.012
   Pescaroli G., 2015, Planet@Risk, V3, P58
   Pescaroli G, 2017, J CONTING CRISIS MAN, V25, P56, DOI 10.1111/1468-5973.12118
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Peters K, 2008, INT J CRIT INFRASTRU, V4, P46, DOI 10.1504/IJCIS.2008.016091
   Price B, 2015, RISK ANAL, V35, P931, DOI 10.1111/risa.12309
   Rinaldi B. S. M., 2001, CONTROL SYST IEEE, V21, P11
   Sammonds P., 2011, VOLCANIC HAZARD ICEL
   Santella N, 2011, RISK ANAL, V31, P951, DOI 10.1111/j.1539-6924.2010.01561.x
   Sharma A., 2013, DISASTER RISK MANAGE, P109
   Sornette D, 2009, SSRN Scholarly Paper 1596032, V2, P1, DOI [DOI 10.2139/SSRN.1596032, 10.2139/ssrn.1596032]
   Tarvainen T., 2006, Natural and Technological Hazards and Risks Affecting the Spatial Development of European Regions, V42, P83
   The National Diet of Japan, 2012, FUK NUCL ACC IND INV
   UNISDR, 2015, SENDAI FRAMEWORK DIS
   UNISDR, 2017, NAT DIS RISK ASS
   van Eeten M, 2011, PUBLIC ADMIN, V89, P381, DOI 10.1111/j.1467-9299.2011.01926.x
   Weichselgartner J., 2001, DISASTER PREV MANAG, V10, P85, DOI [10.1108/09653560110388609, DOI 10.1108/09653560110388609]
   Zio E, 2011, RISK ANAL, V31, P1196, DOI 10.1111/j.1539-6924.2011.01584.x
NR 71
TC 192
Z9 200
U1 47
U2 267
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
EI 1539-6924
J9 RISK ANAL
JI Risk Anal.
PD NOV
PY 2018
VL 38
IS 11
BP 2245
EP 2257
DI 10.1111/risa.13128
PG 13
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA GZ8DP
UT WOS:000449717100002
PM 29906307
OA Green Submitted
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Hunsberger, C
   Work, C
   Herre, R
AF Hunsberger, Carol
   Work, Courtney
   Herre, Roman
TI Linking climate change strategies and land conflicts in Cambodia:
   Evidence from the Greater Aural region
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 Conflict; Climate change; Biofuel; Irrigation; Asia; Cambodia
ID GREEN ECONOMY; REDD PLUS; LANDSCAPE; GOVERNANCE; RESISTANCE; NARRATIVES;
   SECURITY; BIOFUELS; POLITICS; FORESTS
AB This paper investigates how climate change strategies and resource conflicts are shaping each other in the Greater Aural region of western Cambodia. Agro-industrial projects linked to climate change goals are reshaping both social and ecological dynamics, by altering patterns of access to land and water resources as well as the nature of the resources themselves. Using a landscape perspective, we investigate these social and ecological changes occurring across space and time. Drawing on data from community researchers, field visits, interviews and secondary sources, we examine two kinds of connections between climate change responses and resource conflicts in the Greater Aural: 1) demand for biofuels as a driver of flex crop expansion; and 2) the construction of irrigation infrastructure as a climate change adaptation strategy. Findings include that some impacts of flex crop expansion and irrigation systems are local and immediate, for example when villagers lose land, plantation workers are not paid, and cassava processing pollutes local water supplies. Other impacts are transferred to different locations or deferred to the future, for example when changes in water quality and quantity affect those living downstream, or when soil degraded by cassava production becomes unproductive for future generations. We conclude that climate change strategies are now deeply entangled with resource conflicts in the Greater Aural region. Adopting a landscape perspective and working directly with community researchers opens new pathways for identifying not only site-specific, but also cumulative and shifting impacts of climate change strategies and their relationship to resource conflicts. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Hunsberger, Carol] Univ Western Ontario, Dept Geog, London, ON, Canada.
   [Work, Courtney] MOSAIC Project, Battambang, Cambodia.
   [Herre, Roman] FIAN, Berlin, Germany.
C3 Western University (University of Western Ontario)
RP Hunsberger, C (corresponding author), Univ Western Ontario, Dept Geog, London, ON, Canada.
EM chunsber@uwo.ca
OI Work, Courtney/0000-0003-4454-0247; Hunsberger,
   Carol/0000-0002-2761-1333
FU Netherlands Organisation for Scientific Research; United Kingdom
   Department for International Development [W 07.68.416]
FX The authors acknowledge funding provided by the Netherlands Organisation
   for Scientific Research and United Kingdom Department for International
   Development (grant number W 07.68.416) to the MOSAIC project - Climate
   change mitigation policies, land grabbing and conflict in fragile
   states: understanding intersections, exploring transformations in
   Myanmar and Cambodia. We also appreciate the time and efforts of all
   research participants and extended team members, as well as the helpful
   insights of the anonymous reviewers.
CR Angelsen A, 2014, WORLD DEV, V64, pS12, DOI 10.1016/j.worlddev.2014.03.006
   [Anonymous], CONSERVATION DEV CAM
   [Anonymous], BITT HARV HUM RIGHTS
   [Anonymous], CASE DOSSIER CAMBODI
   [Anonymous], LAND CONC OV
   [Anonymous], PHNOM PENH POST
   [Anonymous], 2014, NAT STRAT DEV PLAN 2
   [Anonymous], 2013, DEV CHANGE, DOI DOI 10.1111/dech.12017
   [Anonymous], MAFF ANN C REP 2013
   [Anonymous], 2013, CAMB CLIM CHANG STR
   [Anonymous], P INT LARG RIV S DOD
   [Anonymous], THE CAMBODIA DAILY
   [Anonymous], J PEASANT STUDIES
   [Anonymous], DILEMMAS CO BENEFITS
   [Anonymous], 2012, BRIEF NOT ROY DEC LA
   [Anonymous], INT MAP
   [Anonymous], STRAT ENV ASS ASS IM
   [Anonymous], CAMBODIA DAILY
   [Anonymous], ROUTLEDGE COMPANION
   [Anonymous], CONC REQ DOC LETT NO
   [Anonymous], 2015, LIFTING VEIL DEFORES
   [Anonymous], 2013, CAMB LAND CONFL OV L
   [Anonymous], 6 STAK PLEN M EUR BI
   [Anonymous], GEOFORUM
   [Anonymous], 2017, FAO Statistics
   [Anonymous], SUMM TERM EV AGR PRO
   [Anonymous], 2016, BIOFUELSDIGEST
   [Anonymous], 2017, UNCTAD STAT
   [Anonymous], PHNOM PENH POST
   [Anonymous], AGR CLIM JUST PEOLPL
   [Anonymous], PHNOM PENH POST
   [Anonymous], 2001, VIOLENT ENV
   [Anonymous], 2016, FAO STAT
   [Anonymous], CAMB FOR POL ASS
   [Anonymous], CHIN BIOF ANN 2015 C
   [Anonymous], PROM CLIM RES DEV
   Antrop M, 2005, LANDSCAPE URBAN PLAN, V70, P21, DOI 10.1016/j.landurbplan.2003.10.002
   Bailis R, 2011, ANN ASSOC AM GEOGR, V101, P827, DOI 10.1080/00045608.2011.568867
   Baird IG, 2017, J PEASANT STUD, V44, P884, DOI 10.1080/03066150.2017.1289921
   Barnett J, 2007, POLIT GEOGR, V26, P639, DOI 10.1016/j.polgeo.2007.03.003
   Batterbury SPJ, 1999, LAND DEGRAD DEV, V10, P279, DOI 10.1002/(SICI)1099-145X(199907/08)10:4<279::AID-LDR364>3.3.CO;2-Z
   Beban A, 2014, ANTIPODE, V46, P593, DOI 10.1111/anti.12073
   Blaber-Wegg T, 2015, CURR OPIN ENV SUST, V14, P180, DOI 10.1016/j.cosust.2015.05.006
   Borras S., 2016, Land grabbing and human rights: the involvement of European corporate and financial entities in land grabbing outside the European Union
   Borras SM, 2016, J PEASANT STUD, V43, P93, DOI 10.1080/03066150.2015.1036417
   Borras SM, 2012, J AGRAR CHANGE, V12, P34, DOI 10.1111/j.1471-0366.2011.00339.x
   Castella JC, 2013, HUM ECOL, V41, P63, DOI 10.1007/s10745-012-9538-8
   Claeys P, 2017, CAN J DEV STUD, V38, P325, DOI 10.1080/02255189.2016.1235018
   Corbera E, 2016, NAT CLIM CHANGE, V6, P94, DOI [10.1038/nclimate2782, 10.1038/NCLIMATE2782]
   Cotula L, 2012, J PEASANT STUD, V39, P649, DOI 10.1080/03066150.2012.674940
   Devlin C, 2014, POLIT GEOGR, V43, P27, DOI 10.1016/j.polgeo.2014.07.001
   Diepart Jean-Christophe., 2015, Learning for Resilience: Insights from Cambodia's Rural Communities
   Dunlap A, 2014, GEOPOLITICS, V19, P937, DOI 10.1080/14650045.2014.964864
   Fairhead J, 2012, J PEASANT STUD, V39, P237, DOI 10.1080/03066150.2012.671770
   Fetzek S, 2014, SURVIVAL, V56, P143, DOI 10.1080/00396338.2014.962803
   Franco J, 2017, CAN J DEV STUD, V38, P341, DOI 10.1080/02255189.2017.1298520
   Franco JC, 2015, CURR OPIN ENV SUST, V15, P66, DOI 10.1016/j.cosust.2015.08.010
   Geisler C, 2015, CAN J DEV STUD, V36, P241, DOI 10.1080/02255189.2015.1041881
   German L, 2012, ENERG POLICY, V51, P765, DOI 10.1016/j.enpol.2012.09.022
   Hall Derek., 2012, POWERS EXCLUSION LAN
   Hartmann B, 2014, GEOPOLITICS, V19, P757, DOI 10.1080/14650045.2013.847433
   Holmes G, 2014, J PEASANT STUD, V41, P547, DOI 10.1080/03066150.2014.919266
   HOMER-DIXON THOMAS F., 2010, ENV SCARCITY VIOLENC
   HOWELE RH, 1991, FIELD CROP RES, V26, P1, DOI 10.1016/0378-4290(91)90053-X
   Hunsberger C, 2017, CAN J DEV STUD, V38, P305, DOI 10.1080/02255189.2016.1250617
   Hunsberger C, 2014, GEOFORUM, V54, P248, DOI 10.1016/j.geoforum.2013.09.022
   Jiao X, 2015, LAND USE POLICY, V48, P317, DOI 10.1016/j.landusepol.2015.06.008
   Käkönen M, 2014, FORUM DEV STUD, V41, P351, DOI 10.1080/08039410.2014.962599
   Klomp J, 2013, AGR ECON-BLACKWELL, V44, P63, DOI 10.1111/agec.12051
   Knuth SE, 2015, CAN J DEV STUD, V36, P163, DOI 10.1080/02255189.2015.1046373
   Le Billon Phillipe., 2012, Wars of Plunder: Conflicts, Profits and the Politics of Resources
   LICADHO, 2009, LAND GRABB POV CAMB
   Martiniello G, 2015, J PEASANT STUD, V42, P653, DOI 10.1080/03066150.2015.1032269
   Mccall MK, 2016, WORLD DEV, V85, P58, DOI 10.1016/j.worlddev.2016.05.001
   Milne S, 2015, CRIT ASIAN STUD, V47, P200, DOI 10.1080/14672715.2015.1041275
   Milne S, 2012, DEV CHANGE, V43, P133, DOI 10.1111/j.1467-7660.2011.01748.x
   Mingorria Sara, 2014, Environment Development and Sustainability, V16, P841, DOI 10.1007/s10668-014-9530-0
   Mitchell D., 2008, Political Economies of Landscape Change: Places of Integrative Power, DOI DOI 10.1007/978-1-4020-5849-3_2
   Montefrio MJF, 2013, PEACE REV, V25, P502, DOI 10.1080/10402659.2013.846149
   Montefrio MJF, 2016, WORLD DEV, V79, P114, DOI 10.1016/j.worlddev.2015.11.009
   Neef A, 2013, J AGR ENVIRON ETHIC, V26, P1085, DOI 10.1007/s10806-013-9446-y
   Nielsen TD, 2016, FOREST POLICY ECON, V73, P177, DOI 10.1016/j.forpol.2016.09.006
   Okunade DA, 2013, European Int J Sci Technol, V2, P75
   Oliveira GDT, 2017, ENERG POLICY, V108, P765, DOI 10.1016/j.enpol.2017.03.036
   Parnell T, 2015, EARTH CONSERV DEV, P258
   Peluso NL, 2011, J PEASANT STUD, V38, P667, DOI 10.1080/03066150.2011.607692
   Poffenberger M, 2009, NAT RESOUR FORUM, V33, P285, DOI 10.1111/j.1477-8947.2009.01249.x
   Pye D., 2014, The Phnom Penh Post
   Radjawali I., 2017, Geographica Helvetica, V72, P17, DOI [10.5194/gh-72-17-2017, DOI 10.5194/GH-72-17-2017]
   RGC (Royal Government of Cambodia), 2015, CAMB IND DEV POL 201
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Rocheleau DE, 2015, J PEASANT STUD, V42, P695, DOI 10.1080/03066150.2014.993622
   Ros-Tonen MAF, 2014, FORESTS, V5, P2996, DOI 10.3390/f5122996
   Scheffran J, 2012, SCIENCE, V336, P869, DOI 10.1126/science.1221339
   Selby J, 2014, GEOPOLITICS, V19, P829, DOI 10.1080/14650045.2014.964865
   Selfa T, 2015, ENVIRON MANAGE, V56, P1315, DOI 10.1007/s00267-015-0535-8
   Smith PJ, 2011, CONFL SECUR DEV, V11, P309, DOI 10.1080/14678802.2011.593810
   Titthara May., 2012, The Phnom Penh Post
   Uson MAM, 2017, CAN J DEV STUD, V38, P414, DOI 10.1080/02255189.2017.1308316
   Verhoeven H, 2011, DEV CHANGE, V42, P679, DOI 10.1111/j.1467-7660.2011.01707.x
   White B, 2012, J PEASANT STUD, V39, P619, DOI 10.1080/03066150.2012.691879
   Work C, 2017, CAN J DEV STUD, V38, P360, DOI 10.1080/02255189.2017.1309313
NR 102
TC 27
Z9 28
U1 3
U2 45
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 309
EP 320
DI 10.1016/j.worlddev.2018.02.008
PG 12
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:000433272600025
DA 2025-01-10
ER

PT J
AU Razafimbelo, TM
   Andriamananjara, A
   Rafolisy, T
   Razakamanarivo, H
   Masse, D
   Blanchart, E
   Falinirina, MV
   Bernard, L
   Ravonjiarison, N
   Albrecht, A
AF Razafimbelo, Tantely Maminiaina
   Andriamananjara, Andry
   Rafolisy, Tovonarivo
   Razakamanarivo, Herintsitohaina
   Masse, Dominique
   Blanchart, Eric
   Falinirina, Marie-Virginie
   Bernard, Laetitia
   Ravonjiarison, Nasandratra
   Albrecht, Alain
TI Climate smart agriculture impact on soil organic carbon stocks in
   Madagascar
SO CAHIERS AGRICULTURES
LA French
DT Article
DE adaptation; mitigation; climate change; organic matter; carbon
   sequestration; Madagascar
ID SEQUESTRATION; MATTER
AB Climate smart agriculture is presented as a solution to alleviate food insecurity, mitigate climate change and contribute to climate change adaptation. In Madagascar, different sustainable agricultural practices were implemented in the last 20 years by many non-governmental organizations in order to increase crop yields, maintain soil fertility and increase household income. These practices are conservation agriculture, agroforestry systems and the use of organic fertilizers as compost and manure. This study aimed to compare the soil organic carbon storage of some climate smart practices in the Malagasy context. The soil organic carbon stock of each practice, distributed in several sites among the island, was measured and compared with the traditional practices of each study site. For conservation agriculture, the differences in the soil organic carbon content varied from 0 to 1.82 MgC ha(-1) year(-1) when compared with traditional practices (tillage and crop residues exported). For agroforestry, a difference in the soil organic carbon content of 0.68 Mg Cha(-1) year(-1) was found when comparing with the slash and burn practices in the East Coast of Madagascar but no significant soil organic carbon content was found in the Malagasy Highlands. The use of organic fertilizers such as manure, compost and urban organic waste led to an increase of soil organic carbon of 0.16, 0.81 et 0.42 Mg Cha(-1) year(-1) respectively, but these increases were not significant due to the great variability of soil organic carbon values. Results confirm the capacity of some climate smart practices to store more carbon in the soil and hence to compensate for greenhouse gases emissions. However, the storage potentiality is quite different according to the practice and its spatial extent.
C1 [Razafimbelo, Tantely Maminiaina; Andriamananjara, Andry; Rafolisy, Tovonarivo; Razakamanarivo, Herintsitohaina; Falinirina, Marie-Virginie; Ravonjiarison, Nasandratra] Univ Antananarivo, Lab Radioisotopes, Antananarivo, Madagascar.
   [Masse, Dominique; Blanchart, Eric; Bernard, Laetitia; Albrecht, Alain] Univ Montpellier, Inst Rech Dev, UMR Eco & Sols, Montpellier, France.
C3 University Antananarivo; Universite de Montpellier; Institut Agro;
   Montpellier SupAgro; CIRAD; Institut de Recherche pour le Developpement
   (IRD)
RP Razafimbelo, TM (corresponding author), Univ Antananarivo, Lab Radioisotopes, Antananarivo, Madagascar.
EM tantely.razafimbelo@gmail.com
RI tovonarivo, rafolisy/A-4596-2012; Blanchart, Eric/AAI-6792-2020; Masse,
   Dominique/A-7603-2011
OI Razafimbelo, Tantely M./0000-0003-2101-9715; Masse,
   Dominique/0000-0002-3165-1469
CR [Anonymous], 2010, Agriculture
   Bernard L, 2012, ISME J, V6, P213, DOI 10.1038/ismej.2011.87
   Bernoux M, 2005, SOIL EROSION CARBON
   Chen RR, 2014, GLOBAL CHANGE BIOL, V20, P2356, DOI 10.1111/gcb.12475
   Corbeels M, 2019, SOIL TILL RES, V188, P16, DOI 10.1016/j.still.2018.02.015
   Dou F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0115598
   Ellert BH, 1995, CAN J SOIL SCI, V75, P529, DOI 10.4141/cjss95-075
   Fujisaki K, 2018, AGR ECOSYST ENVIRON, V259, P147, DOI 10.1016/j.agee.2017.12.008
   Gay-des-Combes JM, 2017, AGR ECOSYST ENVIRON, V239, P207, DOI 10.1016/j.agee.2017.01.010
   Johnston AE, 2009, ADV AGRON, V101, P1, DOI 10.1016/S0065-2113(08)00801-8
   KLEINMAN PJA, 1995, AGR ECOSYST ENVIRON, V52, P235, DOI 10.1016/0167-8809(94)00531-I
   Kuzyakov Y, 2000, SOIL BIOL BIOCHEM, V32, P1485, DOI 10.1016/S0038-0717(00)00084-5
   Lal R., 1999, Env. Sci. Policy, V2, P177, DOI [10.1016/S1462-9011(99)00012-X, DOI 10.1016/S1462-9011(99)00012-X]
   Lal R, 2016, J SOIL WATER CONSERV, V71, p20A, DOI 10.2489/jswc.71.1.20A
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Nair PKR, 2009, ENVIRON SCI POLICY, V12, P1099, DOI 10.1016/j.envsci.2009.01.010
   Nambiar K. K. M., 1995, AGR SUSTAINABILITY E
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Poeplau C, 2015, AGR ECOSYST ENVIRON, V200, P33, DOI 10.1016/j.agee.2014.10.024
   Powlson DS, 2012, AGR ECOSYST ENVIRON, V146, P23, DOI 10.1016/j.agee.2011.10.004
   Powlson DS, 2016, AGR ECOSYST ENVIRON, V220, P164, DOI 10.1016/j.agee.2016.01.005
   Powlson DS, 2014, NAT CLIM CHANGE, V4, P678, DOI 10.1038/NCLIMATE2292
   Ramiandrisoa S., 2009, ECOLE SUPERIEURE SCI
   Smith JW, 1998, SOIL QUALITY AGR SUS, P214
   Smith P, 2014, GLOBAL CHANGE BIOL, V20, P2708, DOI 10.1111/gcb.12561
NR 25
TC 8
Z9 9
U1 7
U2 54
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 1777-5949
J9 CAH AGRIC
JI Cah. Agric.
PD MAY 16
PY 2018
VL 27
IS 3
AR 35001
DI 10.1051/cagri/2018017
PG 8
WC Agriculture, Multidisciplinary; Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA GH9OO
UT WOS:000433998900001
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Suberi, B
   Tiwari, KR
   Gurung, DB
   Bajracharya, RM
   Sitaula, BK
AF Suberi, Bhagat
   Tiwari, Krishna R.
   Gurung, D. B.
   Bajracharya, Roshan M.
   Sitaula, Bishal K.
TI People's perception of climate change impacts and their adaptation
   practices in Khotokha valley, Wangdue, Bhutan
SO INDIAN JOURNAL OF TRADITIONAL KNOWLEDGE
LA English
DT Article
DE Adaptation; Agriculture; Climate change; Livestock; Resource use
AB Climate change is expected to have serious environmental, economic, and social impacts in mountainous regions worldwide. Rural communities that depend on farming, livestock rearing and natural resources for their livelihoods are likely to be affected by its adverse impacts. This study was carried out to understand one community's perceptions and experiences of climate change and to assess the people's use of forest resources and possible implications for climate change adaptation. The study was conducted through semi-structured questionnaires. The entire population of 67 households was surveyed for the study. The household data were analyzed using descriptive statistics, frequency and inferential statistical tests, namely, parametric t-test and chi-square. The study revealed that a majority of people in the community (79 %) were aware of climate change. Over ninety per cent of the local people depend mainly on cultivation of potato and rearing livestock for their livelihood. The results indicated that climate change and variability have affected the lives of the local people who have developed adaptation strategies in their own way to cope with it. Local people cited impacts including reduced precipitation and an irregular rainfall pattern, which affects potato cultivation and winter fodder production. Production has also been affected by an increased in insect pests. Additionally, new invasive/weed species are reported to be colonizing the pasture land, preventing the regeneration of preferred grass species for grazing. Use of forest products such as fuel wood, flag post, fencing post and litter in particular, have decreased because of available alternatives. Over eighty per cent of those interviewed the need of government support.
C1 [Suberi, Bhagat; Gurung, D. B.] Royal Univ Bhutan, Coll Nat Resources, Lobesa, Bhutan.
   [Tiwari, Krishna R.] Tribhuvan Univ, Inst Forestry, Pokhara, Nepal.
   [Bajracharya, Roshan M.] Kathmandu Univ, Dhulikhel, Nepal.
   [Sitaula, Bishal K.] Norwegian Univ Life Sci, As, Norway.
C3 Tribhuvan University; Institute of Forestry (IOF) - Nepal; Kathmandu
   University; Norwegian University of Life Sciences
RP Suberi, B (corresponding author), Royal Univ Bhutan, Coll Nat Resources, Lobesa, Bhutan.
EM bsuberi.cnr@rub.edu.bt
RI Tiwari, Krishna/JDK-0551-2023; Sitaula, Bishal/F-7086-2017; Bajracharya,
   Roshan/G-3845-2011
FU NORHED project; CNR
FX The authors gratefully acknowledge the support provided by the NORHED
   project and CNR for the study. Many thanks are due to Dr. Maniram Moktan
   for his guidance throughout the paper writing.
CR [Anonymous], 2010, Climate change impact and vulnerability in the Eastern HimalayasSynthesis Report
   BBS, 2016, IMPR COOK STOV GAINS
   Campbell A, 2009, TECHNICAL SERIES, V42
   Chettri N., 2010, Biodiversity in the Eastern Himalayas: Status, Trends and Vulnerability to Climate Change
   Chhetri P, 2011, THESIS
   Gitay H., 2002, 5 INT PAN CLIM CHANG
   Gurung TR, 2012, BHUTAN J RNR, V8, P1
   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]
   ICIMOD, 2011, CLIM VAR CHANG HIM C
   IPCC, 2007, CLIM CHANG PHYS SCI
   KFMU, 2009, KOT FOR MAN PLAN
   Locatelli B, 2010, PERSPECTIVE FOREST C
   NEC, 2012, NAT AD PROGR ACT NAP
   NSB. (National Statistical Bureau), 2009, STAT YB BHUT
   Rajiv Pandey Rajiv Pandey, 2011, Folia Forestalia Polonica. Series A, Forestry, V53, P156
   Regmi BR, 2009, J FOREST LIVELIHOOD, V8
   RGOB, 2009, BIOD PERS CLIM CHANG
   RGOB, 2010, NAT PLANT STRAT BHUT
   RGOB (Royal Government of Bhutan), 2008, CONST BHUT
   SAPA, 2016, RNR CLIM CHANG AD PR
   Schild A, 2008, MT RES DEV, V28, P328, DOI 10.1659/mrd.mp009
   SFD, 2010, NAT STRAT COMM FOR W
   Shrestha AB, 2011, REG ENVIRON CHANGE, V11, pS65, DOI 10.1007/s10113-010-0174-9
   Sovacool BK, 2012, J ENVIRON MANAGE, V97, P78, DOI 10.1016/j.jenvman.2011.11.005
   Wangchuk S, 2013, SOC NATUR RESOUR, V26, P1375, DOI 10.1080/08941920.2013.789575
   Wangda P, 2010, TROPICAL MONTANE CLO, P156
   WCD, REV HUM WILDL CONFL
NR 27
TC 12
Z9 12
U1 0
U2 16
PU NATL INST SCIENCE COMMUNICATION-NISCAIR
PI NEW DELHI
PA DR K S KRISHNAN MARG, PUSA CAMPUS, NEW DELHI 110 012, INDIA
SN 0972-5938
EI 0975-1068
J9 INDIAN J TRADIT KNOW
JI Indian J. Tradit. Knowl.
PD JAN
PY 2018
VL 17
IS 1
BP 97
EP 105
PG 9
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA FY5RW
UT WOS:000426892900010
DA 2025-01-10
ER

PT J
AU Campos, I
   Guerra, J
   Gomes, JF
   Schmidt, L
   Alves, F
   Vizinho, A
   Lopes, GP
AF Campos, Ines
   Guerra, Joao
   Gomes, Jose Ferreira
   Schmidt, Luisa
   Alves, Filipe
   Vizinho, Andre
   Lopes, Gil Penha
TI Understanding climate change policy and action in Portuguese
   municipalities: A survey
SO LAND USE POLICY
LA English
DT Article
DE Climate change; Survey; Municipalities
ID ADAPTIVE GOVERNANCE; NATIONAL-LEVEL; CHANGE IMPACTS; ADAPTATION;
   RESILIENCE; CITIES; VULNERABILITY; COMMUNITIES; CAPACITY; PATHWAYS
AB Robust strategies and action-plans are essential in tackling climate change. Given the local and context specific nature of climate impacts, the involvement of municipalities is key for effective mitigation and adaptation solutions. Due to its vulnerability and low level of adaptive capacity, Portugal offers insights into adaptation research and practice in Europe. This article hypothesizes that National and European climate change adaptation strategies are not effectively involving municipalities, and are thus losing out on the opportunity to take stock of local responses for climate change mitigation and adaptation. To address this issue, a survey by questionnaire was done to Portuguese municipalities, and data was collected regarding the following: the importance attributed to climate change; the mitigation and adaptation measures planned and implemented; the main drivers, concerns, and triggers promoting climate policy and actions; and access to information and knowledge. 109 valid responses were collected across the country from a universe of 308 municipalities. Results show climate change in planning agendas is still 'little' or 'not important'. There is also a clear difference in the drivers and concerns motivating climate policy, and action between Littoral and Inland regions. Overall, there is a greater focus on mitigation than adaptation. The discussion highlights the need for capacity building, the issue of equity, the role of European networks, and the relevance of cultural differences between Littoral and Inland regions. The conclusion distils the main lessons learned concerning these challenges and needs, the role of transnational networks, and the cultural contexts for building resilience, through adaptation, across Europe. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Campos, Ines; Alves, Filipe; Vizinho, Andre; Lopes, Gil Penha] Univ Lisbon, Ctr Ecol Evolut & Environm Changes CE3C, Fac Sci, P-1699 Lisbon, Portugal.
   [Guerra, Joao; Gomes, Jose Ferreira; Schmidt, Luisa] Univ Lisbon, Inst Social Sci, P-1699 Lisbon, Portugal.
   [Campos, Ines; Alves, Filipe; Vizinho, Andre; Lopes, Gil Penha] Univ Lisbon, Fac Ciencias, P-1749016 Lisbon, Portugal.
   [Guerra, Joao; Gomes, Jose Ferreira; Schmidt, Luisa] Ave Prof Anibal Bettencourt 9, P-1600189 Lisbon, Portugal.
C3 Universidade de Lisboa; Universidade de Lisboa; Institute of Social
   Sciences, University of Lisbon (ICS-UL); Universidade de Lisboa
RP Campos, I (corresponding author), Univ Lisbon, Ctr Ecol Evolut & Environm Changes CE3C, Fac Sci, P-1699 Lisbon, Portugal.; Campos, I (corresponding author), Univ Lisbon, Fac Ciencias, P-1749016 Lisbon, Portugal.
EM isobralcampos@gmail.com; joao.guerra@campus.ul.pt;
   jose.ferreira@ics.ul.pt; mlschmidt@ics.ulisboa.pt; fmalves@fc.ul.pt;
   afvizinho@fc.ul.pt; gppenha-lopes@fc.ul.pt
RI Ferreira, José/AAF-9907-2019; Campos, Ines/AAK-5822-2021; Vizinho,
   André/JFA-6463-2023; Penha-Lopes, Gil/N-1475-2015; Guerra,
   Joao/L-3280-2014; Schmidt, Luisa/L-3368-2014
OI Penha-Lopes, Gil/0000-0002-1024-1954; Vizinho,
   Andre/0000-0002-0503-3624; Moreira Alves, Filipe/0000-0003-2749-826X;
   Guerra, Joao/0000-0003-1918-2273; Ferreira, Jose
   Gomes/0000-0002-2539-1111; Campos, Ines/0000-0001-5677-875X; Schmidt,
   Luisa/0000-0002-7449-8636
FU European Commission [308337]; Fundagio para a Ciencia e Tecnologia of
   Gil Penha-Lopes [SFRH/BPD/65977/2009, PD/BD/113934/2015,
   PD/PB/113929/2015, RefUlD/BIA/00329/2013]; Fundação para a Ciência e a
   Tecnologia [PD/BD/113934/2015, SFRH/BPD/65977/2009] Funding Source: FCT
FX The authors would like to thank all those who responded to this survey.
   The authors thank the European Commission for the funding of the FP7
   project "Bottom-up Climate Adaptation Strategies towards the Sustainable
   Europe" (Grant Agreement 308337), under which this survey was developed.
   The authors equally thank the Fundagio para a Ciencia e Tecnologia for
   the financial support of Gil Penha-Lopes (scholarship
   SFRH/BPD/65977/2009), of Filipe Alves (PD/BD/113934/2015) and Andre
   Vizinho (grant PD/PB/113929/2015), and of Ce3C (RefUlD/BIA/00329/2013).
   The research developed has not in been influenced by the funding
   received, and the article does not reflect in any form the opinions of
   the funding institutions.
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, 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
   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
   [Anonymous], 2014, 42014 EEA
   [Anonymous], FOOD COUNTRY CITY ET
   [Anonymous], 2010, NEW TERRITORIAL PARA
   [Anonymous], RISCO CHEIAS ESTRATE
   [Anonymous], 2015, The Economic Consequences of Climate Change
   [Anonymous], 2007, CONTRIBUTION WORKING
   [Anonymous], DER KLIMAWANDEL
   [Anonymous], FUTURE CLIMATE CHANG
   [Anonymous], 2015, 202015 EEA
   [Anonymous], INE SYNTH REP
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Berkhout F, 2014, REG ENVIRON CHANGE, V14, P879, DOI 10.1007/s10113-013-0519-2
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Betsill MM, 2004, INT STUD QUART, V48, P471, DOI 10.1111/j.0020-8833.2004.00310.x
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Campos IS, 2016, ECOL SOC, V21, DOI 10.5751/ES-08059-210113
   Carvalho A, 2014, WIRES CLIM CHANGE, V5, P199, DOI 10.1002/wcc.258
   Carvalho J., 2015, Anuario Financeiro dos Municipios Portugueses 2014
   Cash DW, 2006, ECOL SOC, V11
   Cheshire L, 2015, AGER, P7, DOI 10.4422/ager.2015.08
   Ciscar JC, 2011, P NATL ACAD SCI USA, V108, P2678, DOI 10.1073/pnas.1011612108
   Dannevig H, 2012, LOCAL ENVIRON, V17, P597, DOI 10.1080/13549839.2012.678317
   Flint L.E., 2012, ECOL PROCESS, V1, P1, DOI [DOI 10.1186/2192-1709-1-2, 10.1186/2192-1709-1-2]
   Flora JL, 1998, RURAL SOCIOL, V63, P481, DOI 10.1111/j.1549-0831.1998.tb00689.x
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Ford JD, 2013, ECOL SOC, V18, DOI 10.5751/ES-05732-180340
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hallegatte S, 2011, NAT CLIM CHANGE, V1, P151, DOI 10.1038/NCLIMATE1135
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kay A., 2006, Community Development Journal, V41, P160, DOI [DOI 10.1093/CDJ/BSI045, 10.1093/cdj/bsi045]
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Knez I, 2005, J ENVIRON PSYCHOL, V25, P207, DOI 10.1016/j.jenvp.2005.03.003
   Lebel L, 2006, ECOL SOC, V11
   Lenoir J, 2013, GLOBAL CHANGE BIOL, V19, P1470, DOI 10.1111/gcb.12129
   Lenschow A., 2002, ENV POLICY INTEGRATI
   Niles MT, 2015, AGR ECOSYST ENVIRON, V200, P178, DOI 10.1016/j.agee.2014.11.010
   O'Riordan T, 2014, LANDSCAPE RES, V39, P613, DOI 10.1080/01426397.2014.975108
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   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, 2015, CLIMATIC CHANGE, V133, P113, DOI 10.1007/s10584-014-1303-0
   Putnam R., 1999, BOWLING ALONE
   Schmidt L, 2014, LAND USE POLICY, V38, P355, DOI 10.1016/j.landusepol.2013.11.008
   Schmidt Luisa., 2010, Revista de Ciencias Sociais, V41, P106
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stewart ID, 2012, B AM METEOROL SOC, V93, P1879, DOI 10.1175/BAMS-D-11-00019.1
   WAKSBERG J, 1978, J AM STAT ASSOC, V73, P40, DOI 10.2307/2286513
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wood D., 2009, The International Journal of Science in Society, V1, P137
NR 63
TC 32
Z9 43
U1 2
U2 43
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 MAR
PY 2017
VL 62
BP 68
EP 78
DI 10.1016/j.landusepol.2016.12.015
PG 11
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA EL5AN
UT WOS:000394633900008
DA 2025-01-10
ER

PT J
AU Vaghefi, SA
   Mousavi, SJ
   Abbaspour, KC
   Srinivasan, R
   Arnold, JR
AF Vaghefi, S. Ashraf
   Mousavi, S. J.
   Abbaspour, K. C.
   Srinivasan, R.
   Arnold, J. R.
TI Integration of hydrologic and water allocation models in basin-scale
   water resources management considering crop pattern and climate change:
   Karkheh River Basin in Iran
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Hydrologic modeling; Climate change adaptation; SWAT; MODSIM
ID IMPACTS; STREAMFLOW; SYSTEM; FOOD
AB The paradigm of integrated water resources management requires coupled analysis of hydrology and water resources in a river basin. Population growth and uncertainties due to climate change make historic data not a reliable source of information for future planning of water resources, hence necessitating climate and landuse change impact studies. This work presents an integrated modeling approach by linking Soil and Water Assessment Tool (SWAT) and MODSIM. While SWAT produces hydrologic and water resources information, MODSIM provides a decision support system for water allocation. We used the coupled SWAT-MODSIM to analyze the effects of climate and cropping pattern changes on agricultural and hydroenergy production in the Karkheh River Basin, a semiarid region in south-west of Iran. Cropping patterns were considered by limiting the cereal production to 50 % (S1, near to historic), 17 % (S2), and 83 % (S3) of total agricultural areas. The future climate was provided by the Canadian Global Coupled Model (CGCM 3.1 version T63) for A1B, A2, and B1 scenarios. The results showed that based on future climate changes and landuse scenarios, wheat production had a large variation in five economically important agricultural regions ranging from 33,000 ton year(-1) (S2-A1B) to 74,000 ton year(-1) (S3-A2). Similarly, energy production, while increasing from 614 to 1,100 GWH in A2, decreased from 614 to 464 GWH in B1 climate scenario. Our analyses indicate that cropping pattern change can be used as an effective tool to adapt to the negative impacts of climate change.
C1 [Vaghefi, S. Ashraf; Mousavi, S. J.] Amirkabir Univ Technol, Dept Civil & Environm Engn, Tehran Polytech, Tehran, Iran.
   [Abbaspour, K. C.] Swiss Fed Inst Aquat Sci & Technol, Eawag, CH-8600 Dubendorf, Switzerland.
   [Srinivasan, R.] Texas A&M Univ, Spatial Sci Lab, Texas Agr Expt Stn, College Stn, TX 77845 USA.
   [Arnold, J. R.] ARS, Grassland Soil & Water Res Lab, USDA, Temple, TX 76502 USA.
C3 Amirkabir University of Technology; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute of Aquatic Science &
   Technology (EAWAG); Texas A&M University System; Texas A&M University
   College Station; Texas A&M AgriLife Research; United States Department
   of Agriculture (USDA)
RP Mousavi, SJ (corresponding author), Amirkabir Univ Technol, Dept Civil & Environm Engn, Tehran Polytech, Hafez St 424, Tehran, Iran.
EM jmosavi@aut.ac.ir
RI Mousavi, S. Jamshid/ABD-9191-2021; A. Vaghefi, Saeid/N-7632-2016;
   Srinivasan, Raghavan/D-3937-2009
OI A. Vaghefi, Saeid/0000-0002-3061-6493; Srinivasan,
   Raghavan/0000-0001-8375-6038; Mousavi, S. Jamshid/0000-0002-5318-9738
CR Abbaspour KC, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007615
   Ahmad MUD, 2010, WATER INT, V35, P522, DOI 10.1080/02508060.2010.510326
   Ahmad MUD, 2009, WATER INT, V34, P119, DOI 10.1080/02508060802663903
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Ashraf Vaghefi S, 2013, ANAL IMPACT CLIMATE, DOI [10.1002/hyp.9747, DOI 10.1002/HYP.9747]
   Bertsekas D, 1991, LINEAR NETWORK OPTIM
   Dai TW, 2001, J WATER RES PL-ASCE, V127, P295, DOI 10.1061/(ASCE)0733-9496(2001)127:5(295)
   de Azevedo LGT, 2000, J WATER RES PL-ASCE, V126, P85, DOI 10.1061/(ASCE)0733-9496(2000)126:2(85)
   De Fraiture C, 2003, IRRIG DRAIN, V52, P21, DOI 10.1002/ird.76
   Eckhardt K, 2003, J HYDROL, V284, P244, DOI 10.1016/j.jhydrol.2003.08.005
   Farahani H, 2008, AGR WATER PRODUCTIVI, VIV, P103
   Faramarzi M, 2009, HYDROL PROCESS, V23, P486, DOI 10.1002/hyp.7160
   Fredericks JW, 1998, J WATER RES PL-ASCE, V124, P69, DOI 10.1061/(ASCE)0733-9496(1998)124:2(69)
   Gosain AK, 2006, CURR SCI INDIA, V90, P346
   Hanratty MP, 1998, J ENVIRON QUAL, V27, P1524, DOI 10.2134/jeq1998.00472425002700060032x
   Iran Water and Power Resources Development Co (IWPC), 2010, TECHNICAL REPORT
   Jamali S, 2013, J ENERG ENG, V139, P153, DOI 10.1061/(ASCE)EY.1943-7897.0000115
   Jha M, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD003686
   Jha M, 2006, J AM WATER RESOUR AS, V42, P997, DOI 10.1111/j.1752-1688.2006.tb04510.x
   Keshavarz A, 2005, WATER ALLOCATION PRI
   Labadie J. W., 1995, MODSIM RIVER BASIN N
   Marjanizadeh S, 2010, WATER INT, V35, P409, DOI 10.1080/02508060.2010.506263
   Marshall E, 2008, CLIMATIC CHANGE, V89, P263, DOI 10.1007/s10584-007-9389-2
   Masih I, 2009, PHYS CHEM EARTH, V34, P329, DOI 10.1016/j.pce.2008.09.006
   Oweis H, 2008, 1 ICARDA
   Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001
   Shourian M, 2008, WATER RESOUR MANAG, V22, P1347, DOI 10.1007/s11269-007-9229-1
   Stone MC, 2001, J AM WATER RESOUR AS, V37, P1119, DOI 10.1111/j.1752-1688.2001.tb03626.x
NR 28
TC 53
Z9 57
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 MAR
PY 2015
VL 15
IS 3
BP 475
EP 484
DI 10.1007/s10113-013-0573-9
PG 10
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA CC4GO
UT WOS:000350310400005
DA 2025-01-10
ER

PT J
AU James, R
   Washington, R
   Jones, R
AF James, Rachel
   Washington, Richard
   Jones, Richard
TI Process-based assessment of an ensemble of climate projections for West
   Africa
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
ID SAHEL RAINFALL VARIABILITY; MONSOON SYSTEM; 20TH-CENTURY; MODEL;
   SIMULATIONS; ATTRIBUTION; CIRCULATION; ATLANTIC; DROUGHT
AB Determining the level of confidence in regional climate model projections could be very useful for designing climate change adaptation, particularly for vulnerable regions. The majority of previous research to evaluate models has been based on the mean state, but for confidence in projections the plausibility of the mechanisms for change is just as, if not more, important. In this study we demonstrate a methodology for process-based assessment of projections, whereby circulation changes accompanying future responses are examined and then compared to atmospheric dynamics during historical years in models and reanalyses. We apply this methodology to an ensemble of five global and regional model experiments and focus on West Africa, where these models project a strong drying trend. The analysis reveals that this drying is associated with anomalous subsidence in the upper atmosphere, and large warming of the Saharan heat low region, with potential feedback effects via the African easterly jet and West African monsoon. This mode occurs during dry years in the historical period, and dominates in the future experiments. However, the same mode is not found in dry years in reanalysis data, which casts doubt on the reasons for strong drying in these models. The regional models show a very similar response to their driving global models, and are therefore no more trustworthy in this case. This result underlines the importance of assessing model credibility on a case-by-case basis and implies that process-based methodologies should be applied to other model projections before their outputs are used to inform decision making.
C1 [James, Rachel; Washington, Richard] Univ Oxford, Ctr Environm, Climate Res Lab, Oxford, England.
   [Jones, Richard] Met Off Hadley Ctr, Exeter, Devon, England.
   [Jones, Richard] Univ Oxford, Sch Geog & Environm, Oxford, England.
C3 University of Oxford; Met Office - UK; Hadley Centre; University of
   Oxford
RP James, R (corresponding author), Univ Oxford, Ctr Environm, Climate Res Lab, Oxford, England.
EM rachel.james@ouce.ox.ac.uk
RI James, Rachel/GQI-4427-2022
OI James, Rachel/0000-0001-5738-1092; Jones, Richard/0000-0002-0904-3141;
   Washington, Richard/0000-0003-2521-4614
FU UK Joint "Department for Energy and Climate Change" (DECC); "Department
   for Environment, Food and Rural Affairs" (Defra) MOHC Climate Programme
   [GA01101]
FX The GCM data used in this study were produced through work supported by
   the UK Joint "Department for Energy and Climate Change" (DECC) and
   "Department for Environment, Food and Rural Affairs" (Defra) MOHC
   Climate Programme (GA01101). Data are available via the British
   Atmospheric Data Centre
   (http://badc.nerc.ac.uk/browse/badc/hadcm3/data/PRECIS), which is
   accessible after registration at http://badc.nerc.ac.uk/cgi-
   ;bin/dataset_registration/dataset_info.cgi.pl?datasetid=link. The RCM
   experiments were generated by the PRECIS team at the MOHC. The authors
   would like to thank Carlo Buontempo, Karina Williams, and David Sexton
   for assistance with data access. We also acknowledge NOAA/OAR/ESRL PSD
   and ECMWF for making available the NCEP and ERA-I data sets.
CR Allan RP, 2008, SCIENCE, V321, P1481, DOI 10.1126/science.1160787
   Allen MR, 2002, NATURE, V419, P224, DOI 10.1038/nature01092
   [Anonymous], AFRICA DEV
   [Anonymous], 2009, WORLD METEOROLOGICAL
   Biasutti M, 2008, J CLIMATE, V21, P3471, DOI 10.1175/2007JCLI1896.1
   Biasutti M, 2009, J CLIMATE, V22, P5755, DOI 10.1175/2009JCLI2969.1
   Buontempo C, 2015, CLIM DYNAM, V44, P2097, DOI 10.1007/s00382-014-2286-2
   Collins M, 2011, CLIM DYNAM, V36, P1737, DOI 10.1007/s00382-010-0808-0
   Cook KH, 2006, J CLIMATE, V19, P3681, DOI 10.1175/JCLI3814.1
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Druyan LM, 2011, INT J CLIMATOL, V31, P1415, DOI 10.1002/joc.2180
   Gbobaniyi E, 2014, INT J CLIMATOL, V34, P2241, DOI 10.1002/joc.3834
   Haarsma RJ, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023232
   Hastenrath S, 2000, INT J CLIMATOL, V20, P1415, DOI 10.1002/1097-0088(200010)20:12<1415::AID-JOC550>3.0.CO;2-C
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Held IM, 2005, P NATL ACAD SCI USA, V102, P17891, DOI 10.1073/pnas.0509057102
   Hewitson B., 2012, CLIVAR Exch. No, V17, P6
   Hoerling M, 2006, J CLIMATE, V19, P3989, DOI 10.1175/JCLI3842.1
   James R, 2014, J CLIMATE, V27, P4677, DOI 10.1175/JCLI-D-13-00612.1
   James R, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0298
   James R, 2013, CLIMATIC CHANGE, V117, P859, DOI 10.1007/s10584-012-0581-7
   Jenkins GS, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024225
   Jones C., 2011, CLIVAR exchanges, V16, P34
   Jones R. G., 2012, DERIVING RESOLUTION
   Jones R.G., 2004, Generating high resolution climate change scenarios using PRECIS, V40
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Lau KM, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006281
   Marsham JH, 2013, GEOPHYS RES LETT, V40, P1843, DOI 10.1002/grl.50347
   Massey N, 2015, Q J ROY METEOR SOC, V141, P1528, DOI 10.1002/qj.2455
   McSweeney CF, 2015, CLIM DYNAM, V44, P3237, DOI 10.1007/s00382-014-2418-8
   McSweeney CF, 2012, J CLIMATE, V25, P7100, DOI 10.1175/JCLI-D-11-00526.1
   Meynadier R, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD013919
   Monerie PA, 2013, INT J CLIMATOL, V33, P881, DOI 10.1002/joc.3476
   Monerie PA, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017510
   Murphy JM, 2007, PHILOS T R SOC A, V365, P1993, DOI 10.1098/rsta.2007.2077
   Nicholson SE, 2003, J CLIMATE, V16, P1013, DOI 10.1175/1520-0442(2003)016<1013:TSEOTA>2.0.CO;2
   Nicholson SE, 2009, CLIM DYNAM, V32, P1155, DOI 10.1007/s00382-008-0514-3
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   Pope VD, 2000, CLIM DYNAM, V16, P123, DOI 10.1007/s003820050009
   Sylla MB, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012983
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tokinaga H, 2011, NAT GEOSCI, V4, P222, DOI 10.1038/NGEO1078
   Vizy EK, 2013, J CLIMATE, V26, P4664, DOI 10.1175/JCLI-D-12-00533.1
   Vizy EK, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000686
   Washington R, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2012.0296
NR 45
TC 44
Z9 45
U1 1
U2 26
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 FEB 27
PY 2015
VL 120
IS 4
BP 1221
EP 1238
DI 10.1002/2014JD022513
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA CD6EN
UT WOS:000351182400001
OA Bronze
DA 2025-01-10
ER

PT C
AU Bhamidipati, S
AF Bhamidipati, Srirama
BE Coppola, P
TI Simulation framework for asset management in climate-change adaptation
   of transportation infrastructure
SO CURRENT PRACTICES IN TRANSPORT: APPRAISAL METHODS, POLICIES AND MODELS,
   42ND EUROPEAN TRANSPORT CONFERENCE SELECTED PROCEEDINGS
SE Transportation Research Procedia
LA English
DT Proceedings Paper
CT Current Practices in Transport: Appraisal Methods, Policies and Models,
   42nd European Transport Conference Selected Proceedings
CY SEP 29-OCT 01, 2014
CL Goethe Univ, Frankfurt, GERMANY
SP Assoc European Transport
HO Goethe Univ
DE climate change; asset management; agent-based simulation; transportation
   infrastructure; interconnected infrastructure; vulnerability
AB Climate change will have a big impact on our infrastructure assets. Asset managers need decision support tools that can consider climate change impacts on these infrastructures. Infrastructures have very long life spans and climate change is also a long-term phenomenon. Climate change is also associated with a lot of uncertainty, making it more challenging for asset managers to make investment plans on these infrastructures. Unfortunately, existing tools for asset management are based on short-term operational and financial aspects of maintenance rather than strategic long-term assessments. These tools also treat infrastructure in silos, often ignoring the impact of other interconnected infrastructure on them. In this paper, we present a simulation framework that can help asset managers in assessing long term strategic plans for their assets along with the possibilities to include the uncertain behavior of climate impacts and the impact from other interconnected infrastructure. We use agent-based modelling approach to represent assets, asset owners and asset users as agents and study their interactions and the evolving behavior based on the decisions the agents make to maintain or to use the assets. This approach helps in understanding: the consequences of long-term strategic plans of asset managers and of user behavior, in identifying vulnerable areas in a transportation network, and in estimating the impact from other assets. In our case study on a transportation network, we observed an underestimation of damages from climate events when infrastructures were treated in silos. The framework has a potential to answer wide range of questions for asset managers in the context of climate change and its impact on interconnected infrastructure. (C) 2015 The Authors. Published by Elsevier B.V.
C1 [Bhamidipati, Srirama] Delft Univ Technol, Fac TBM, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
C3 Delft University of Technology
RP Bhamidipati, S (corresponding author), Delft Univ Technol, Fac TBM, Jaffalaan 5, NL-2628 BX Delft, Netherlands.
EM s.k.bhamidipati@tudelft.nl
RI Bhamidipati, Srirama/ABC-4403-2020
CR [Anonymous], 2011, Transportation Asset Management Guide : A Focus on Implementation
   [Anonymous], 2012, Risk-based Transportation Asset Management: Evaluating Threats, Capitalizing on Opportunities
   [Anonymous], 2008, Dynamical Processes on Complex Networks
   [Anonymous], IMP CLIM CHANG VAR T
   [Anonymous], 1997, SIMULATING SOCIAL PH
   Bernhardt KLS, 2008, J INFRASTRUCT SYST, V14, P253, DOI 10.1061/(ASCE)1076-0342(2008)14:3(253)
   Bhamidipati S., 2015, EUROPEAN JOURNAL OF
   Bhamidipati S, 2015, LECT N MECH ENG, P103, DOI 10.1007/978-3-319-06966-1_10
   Bollinger L. A., 2015, FOSTERING CLIMATE RE
   BSI, 2008, PAS 551 2 2008
   Dawson RJ, 2011, NAT HAZARDS, V59, P167, DOI 10.1007/s11069-011-9745-4
   de Bruijn H, 2009, IEEE T SYST MAN CY A, V39, P981, DOI 10.1109/TSMCA.2009.2025452
   Epstein J.M., 1996, Growing Artificial Societies: Social Science from the Bottom up
   Field ChristopherB., 2012, Managing_the_risks of_extreme_events_and_disasters_to_advance_climate_change_adaptation:_special_report_of_the intergovernmental_panel_on_climate_change
   Grignard A., 2013, PRIMA 2013 PRINCIPLE, P242
   Jenelius E, 2012, TRANSPORT RES A-POL, V46, P746, DOI 10.1016/j.tra.2012.02.003
   Meyer M. D., 2012, AASHTO
   Meyer MD, 2010, TRANSPORT RES REC, P12, DOI 10.3141/2160-02
   Moore C., 2007, Proc., P176
   Osman H, 2012, AUTOMAT CONSTR, V28, P45, DOI 10.1016/j.autcon.2012.06.004
   van der Lei TE, 2010, INT J CRIT INFRASTRU, V6, P380, DOI 10.1504/IJCIS.2010.037454
   Vergereau H., 2014, P 42 EUR TRANSP C FR, P1
NR 22
TC 14
Z9 16
U1 1
U2 14
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2352-1465
J9 TRANSP RES PROC
PY 2015
VL 8
BP 17
EP 28
DI 10.1016/j.trpro.2015.06.038
PG 12
WC Transportation; Transportation Science & Technology
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Transportation
GA BF2QR
UT WOS:000380491100003
OA gold
DA 2025-01-10
ER

PT J
AU Ylhäisi, JS
   Garrè, L
   Daron, J
   Räisänen, J
AF Ylhaisi, Jussi S.
   Garre, Luca
   Daron, Joseph
   Raisanen, Jouni
TI Quantifying sources of climate uncertainty to inform risk analysis for
   climate change decision-making
SO LOCAL ENVIRONMENT
LA English
DT Article
DE climate model; risk assessment; adaptation; climate change; CMIP
ID ADAPTATION; PREDICTIONS; MANAGEMENT; FUTURE
AB Quantitative estimates of future climate change and its various impacts are often based on complex climate models which incorporate a number of physical processes. As these models continue to become more sophisticated, it is commonly assumed that the latest generation of climate models will provide us with better estimates of climate change. Here, we quantify the uncertainty in future climate change projections using two multi-model ensembles of climate model simulations and divide it into different components: internal, scenario and model. The contributions of these sources of uncertainty changes as a function of variable, temporal and spatial scale and especially lead time in the future. In the new models, uncertainty intervals for each of the components have increased. For temperature, importance of scenario uncertainty is the largest over low latitudes and increases nonlinearly after the mid-century. It has a small importance for precipitation simulations on all time scales, which hampers estimating the effect which any mitigation efforts might have. In line with current state-of-the-art adaptation approaches, we argue that despite these uncertainties climate models can provide useful information to support adaptation decision-making. Moreover, adaptation decisions should not be postponed in the hope that future improved scientific understanding will result in more accurate predictions of future climate change. Such simulations might not become available. On the contrary, while planning adaptation initiatives, a rational framework for decision-making under uncertainty should be employed. We suggest that there is an urgent need for continued development and use of improved risk analysis methods for climate change adaptation.
C1 [Ylhaisi, Jussi S.; Raisanen, Jouni] Univ Helsinki, Dept Phys, Helsinki, Finland.
   [Garre, Luca] De Norske Veritas, Hovik, Norway.
   [Daron, Joseph] Univ Cape Town, Climate Syst Anal Grp, Cape Town, South Africa.
C3 University of Helsinki; University of Cape Town
RP Ylhäisi, JS (corresponding author), Univ Helsinki, Dept Phys, Helsinki, Finland.
EM jussi.s.ylhaisi@helsinki.fi
RI Daron, Joseph/I-3942-2014; Raisanen, Jouni/A-8203-2011
OI Daron, Joseph/0000-0003-1917-0264; Raisanen, Jouni/0000-0003-3657-1588
FU Academy of Finland [140801]; Finnish Academy of Science and Letters;
   Academy of Finland (AKA) [140801] Funding Source: Academy of Finland
   (AKA)
FX The opinions expressed in this paper are those of the authors solely and
   should not be construed as reflecting the views of the affiliating
   institutions and companies. We acknowledge the WCRP's Working Group on
   Coupled Modelling, which is responsible for CMIP, and we thank the
   climate modelling groups (listed in Table 1 of this paper) for producing
   and making available their model output. For CMIP, the US Department of
   Energy's Program for Climate Model Diagnosis and Intercomparison (PCMDI)
   provides coordinating support and led development of software
   infrastructure in partnership with the Global Organization for Earth
   System Science Portals. Academy of Finland (decision 140801) and Finnish
   Academy of Science and Letters and are acknowledged for supporting
   funding for this research.
CR [Anonymous], 1992, C ENV DEV
   [Anonymous], 452011 U GRAZ WEG CT
   [Anonymous], 2002, GUIDELINES FORMAL SA
   [Anonymous], CLIM CHANG EFF MAR S
   [Anonymous], WORLD BANK 5 URB RES
   [Anonymous], REPORT CLIMATE CHANG
   [Anonymous], MONOGRAPH
   [Anonymous], GOV UK
   [Anonymous], 11 INT C STRUCT SAF
   [Anonymous], BEIJ DISP RAIN DRY O
   [Anonymous], 2013, STRONG MOR RES NEW Y
   [Anonymous], P 5 AS PAC S STRUCT
   [Anonymous], P IS ENES EEA CIRCLE
   Backus GA, 2013, CLIMATIC CHANGE, V116, P495, DOI 10.1007/s10584-012-0511-8
   Bana E Costa CA, 2008, EUR J OPER RES, V187, P1422, DOI 10.1016/j.ejor.2006.09.022
   Booth BBB, 2013, EARTH SYST DYNAM, V4, P95, DOI 10.5194/esd-4-95-2013
   Cadule P, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL038681
   Carter TR, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P133
   COVELLO VT, 1985, RISK ANAL, V5, P103, DOI 10.1111/j.1539-6924.1985.tb00159.x
   Dessai S., 2007, UNCERTAINTY CLIMATE
   Ditlevsen O, 2007, STRUCTURAL RELIABILI, P361
   Fasullo JT, 2012, SCIENCE, V338, P792, DOI 10.1126/science.1227465
   Frieler K, 2012, J CLIMATE, V25, P3117, DOI 10.1175/JCLI-D-11-00199.1
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hawkins E, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050087
   Hawkins E, 2009, B AM METEOROL SOC, V90, P1095, DOI 10.1175/2009BAMS2607.1
   Israel D., 2004, CONTRIBUTIONS EC ANA, V3, P1, DOI [DOI 10.2202/1538-0645.1320, DOI 10.2202/1538-0645.1254]
   Jansen E, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P433
   Knutti R, 2008, PHILOS T R SOC A, V366, P4647, DOI 10.1098/rsta.2008.0169
   Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1
   Malhi Y, 2008, SCIENCE, V319, P169, DOI 10.1126/science.1146961
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nakicenovic N., 2000, Special report on emissions scenarios. a 149 special report of working group III of the intergovernmental panel on climate change, P599
   National Research Council, 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   O'Brien KL, 2010, WIRES CLIM CHANGE, V1, P232, DOI 10.1002/wcc.30
   Räisänen J, 2007, TELLUS A, V59, P2, DOI 10.1111/j.1600-0870.2006.00211.x
   Räisänen J, 2012, CLIM DYNAM, V38, P2575, DOI 10.1007/s00382-011-1076-3
   Räisänen J, 2011, J CLIMATE, V24, P867, DOI 10.1175/2010JCLI3872.1
   Räisänen J, 2010, CLIM DYNAM, V35, P407, DOI 10.1007/s00382-009-0659-8
   Refsgaard JC, 2013, MITIG ADAPT STRAT GL, V18, P337, DOI 10.1007/s11027-012-9366-6
   [Rosenzweig C. New York City Panel on Climate Change New York City Panel on Climate Change], 2013, NPCC2
   Rosenzweig C, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P79
   Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001
   Schaller N, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD014963
   Smit B., 2001, CLIMATE CHANGE 2001
   Smith DM, 2007, SCIENCE, V317, P796, DOI 10.1126/science.1139540
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   Stainforth DA, 2005, NATURE, V433, P403, DOI 10.1038/nature03301
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Torrance G W, 1989, Int J Technol Assess Health Care, V5, P559
   Trenberth K., 2010, Nature Reports Climate Change, V4, P20, DOI DOI 10.1038/CLIMATE.2010.06
   Weigel AP, 2010, J CLIMATE, V23, P4175, DOI 10.1175/2010JCLI3594.1
   Weitzman ML, 2009, REV ECON STAT, V91, P1, DOI 10.1162/rest.91.1.1
   Wilkinson A, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045017
   Willows R., 2003, UKCIP TECHNICAL REPO
NR 58
TC 6
Z9 6
U1 2
U2 8
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 2015
VL 20
IS 7
BP 811
EP 835
DI 10.1080/13549839.2013.874987
PG 25
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 V79YR
UT WOS:000212150800005
DA 2025-01-10
ER

PT J
AU Lawrence, J
   Quade, D
   Becker, J
AF Lawrence, Judy
   Quade, Dorothee
   Becker, Julia
TI Integrating the effects of flood experience on risk perception with
   responses to changing climate risk
SO NATURAL HAZARDS
LA English
DT Article
DE Flood experience; Risk perception; Flooding; Climate change adaptation;
   Risk management; Decision-making
ID SEA-LEVEL RISE; NATURAL HAZARDS; UNREALISTIC OPTIMISM; NEW-ZEALAND;
   ADAPTATION; EARTHQUAKE; MANAGEMENT; PEOPLE; POLICY; HOUSEHOLDS
AB Flood management decision-makers face significant challenges as the climate changes. The perceptions of those affected by floods are critical to the successful implementation of adaptation responses; risk perceptions are affected by how information is communicated and, in turn, perceptions influence expectations on flood risk managers to respond. The links between flood experience, risk perception, and responses by individual households were examined in the Hutt Valley, New Zealand, through a household survey, a workshop and interviews with local government practitioners. Two propositions were tested: (1) that flood experience can influence flood risk perceptions; and (2) that flood experience can stimulate increased risk reduction and adaptation actions where changing climate risk is likely. Perceptions of responsibility for flood management were also examined. The study found that previous flood experience contributes to heightened perception of risk, increased preparedness of households, greater willingness to make household-level changes, greater communication with councils, and more advocacy for spatial planning to complement existing structural protection. Flood-affected households had a stronger preference for central government and communities having flood risk responsibilities, in addition to local government. Those who lacked experience were more likely to be normalised to their prior benign experiences and thus optimistic about flood consequences. These results suggest that harnessing positive aspects of experience and communication of changing risk through engagement strategies could help shift the focus from citizens' expectation that governments will always provide protection, to a citizen-local government-central government dialogue about the changing character of flood risk and its implications, and build a 'risk conscious' society in which 'sharing and bearing' is considered desirable.
C1 [Lawrence, Judy; Quade, Dorothee] Victoria Univ Wellington, New Zealand Climate Change Res Inst, Wellington 6140, New Zealand.
   [Becker, Julia] GNS Sci, Lower Hutt, New Zealand.
C3 Victoria University Wellington; GNS Science - New Zealand
RP Lawrence, J (corresponding author), Victoria Univ Wellington, New Zealand Climate Change Res Inst, POB 600, Wellington 6140, New Zealand.
EM judy.lawrence@paradise.net.nz
RI Lawrence, Judy/W-9823-2019
OI Becker, Julia/0000-0001-9989-4232
FU Ministry of Science and Innovation (MSI) [VICX805]
FX The research for this paper was funded by the Ministry of Science and
   Innovation (MSI) under the Community Vulnerability, Resilience, and
   Adaptation to Climate Change programme led by the New Zealand Climate
   Change Research Institute at Victoria University of Wellington
   (VICX805). We thank the local government practitioners and the
   households surveyed, whose insights made this paper possible. We also
   thank Andy Reisinger, Amanda Wolf, and Professor Bruce Glavovic who made
   critical comments on an earlier draft of this paper and two anonymous
   reviewers for their helpful suggestions.
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   [Anonymous], 01 NZCCRI VICT U WEL
   [Anonymous], 2014, ARS CLIM CHANG 2014
   [Anonymous], WAT NZ STORMW C
   [Anonymous], NZ CHANGING CLIMATE
   [Anonymous], DEV ADAPTIVE RISK MA
   [Anonymous], NIWA
   [Anonymous], RAUM S PAR BEACH FLO
   [Anonymous], LOW DAM BUILD TECHN
   [Anonymous], 2012, 2 REP LAND WAT FOR S
   [Anonymous], AUSTRALAS J DISASTER
   [Anonymous], APPR FLOOD COAST ER
   [Anonymous], AUSTRALAS J DISASTER
   [Anonymous], NAT CLIM CHANG AD RE
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2012, Public Risk Per- ceptions, Understandings, and Responses to Climate Change and Natural Disasters in Australia, 2010 and 2011
   [Anonymous], 02 NZCCRI VICT U WEL
   [Anonymous], GW REG OUR ROL SOM F
   [Anonymous], EC ANAL ADAPTATION C
   [Anonymous], 1001 CARD U
   [Anonymous], HUTT RIV FLOODPL MAN
   [Anonymous], 2011, POTENTIAL EFFECTS CL
   [Anonymous], WLG200219 NIWA WELL
   [Anonymous], POTENTIAL EFFECTS CL
   [Anonymous], CHC9911 NIWA WELL RE
   [Anonymous], 1988, Statistical Power Analysis for the Behavioral Sciences
   [Anonymous], M CHALL FUT FLOOD NZ
   [Anonymous], MEM
   [Anonymous], AUSTRALAS J DISASTER
   [Anonymous], 08 NZCCRI VICT U WEL
   [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], 201219 U PENNS CTR R
   [Anonymous], HUTT RIV MOD HIST 18
   [Anonymous], SPSS SURVICAL MANUAL
   [Anonymous], 07 NZCCRI VICT U WEL
   Baana P.J., 2004, INT J RIVER BASIN MA, V2, P113, DOI 10.1080/15715124.2004.9635226
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bickerstaff K, 2008, ENVIRON PLANN A, V40, P1312, DOI 10.1068/a39150
   Botzen WJW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007743
   Brenkert-Smith H, 2006, SOC NATUR RESOUR, V19, P759, DOI 10.1080/08941920600801207
   Bright AD, 2006, J FOREST, V104, P307
   Bubeck P, 2012, RISK ANAL, V32, P1481, DOI 10.1111/j.1539-6924.2011.01783.x
   Burby RJ, 2006, ANN AM ACAD POLIT SS, V604, P171, DOI 10.1177/0002716205284676
   BURGER JM, 1992, PERS SOC PSYCHOL B, V18, P39, DOI 10.1177/0146167292181006
   Callaway JM, 2004, GLOBAL ENVIRON CHANG, V14, P273, DOI 10.1016/j.gloenvcha.2004.04.002
   Dillman Don., 2000, Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method, V3rd
   Faulkner H, 2009, ENVIRON HAZARDS-UK, V8, P38, DOI 10.3763/ehaz.2009.0006
   Flick U., 2014, An introduction to qualitative research, VEdition 5, DOI DOI 10.1287/ORSC.13.6.618.493
   Glavovic BC, 2010, NAT HAZARDS, V54, P679, DOI 10.1007/s11069-009-9494-9
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Haasnoot M, 2012, ENVIRON SCI POLICY, V19-20, P108, DOI 10.1016/j.envsci.2012.03.002
   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
   Handmer J, 2008, INT J WATER RESOUR D, V24, P527, DOI 10.1080/07900620801921439
   Harvatt J, 2011, J RISK RES, V14, P63, DOI 10.1080/13669877.2010.503935
   Helweg-Larsen M, 1999, BASIC APPL SOC PSYCH, V21, P119, DOI 10.1207/S15324834BA210204
   Johnston D.M., 1999, DISASTER PREV MANAG, V8, P118, DOI [10.1108/09653569910266166, DOI 10.1108/09653569910266166]
   Jones RN, 2011, WIRES CLIM CHANGE, V2, P296, DOI 10.1002/wcc.97
   Kahneman D, 2013, THINKING FAST SLOW
   Knocke ET, 2007, RISK ANAL, V27, P155, DOI 10.1111/j.1539-6924.2006.00866.x
   Kousky C., 2010, IRRATIONAL EC MAKING
   Kousky C, 2010, LAND ECON, V86, P395, DOI 10.3368/le.86.3.395
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Kreibich H, 2011, REG ENVIRON CHANGE, V11, P59, DOI 10.1007/s10113-010-0119-3
   Kundzewicz ZW, 1999, HYDROLOG SCI J, V44, P417, DOI 10.1080/02626669909492237
   Kundzewicz ZW, 1999, HYDROLOG SCI J, V44, P559, DOI 10.1080/02626669909492252
   Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64
   Lawrence J, 2015, LOCAL ENVIRON, V20, P298, DOI 10.1080/13549839.2013.839643
   Lawrence J, 2013, ENVIRON SCI POLICY, V33, P133, DOI 10.1016/j.envsci.2013.05.008
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   Lindell MK, 2009, RISK ANAL, V29, P1072, DOI 10.1111/j.1539-6924.2009.01243.x
   Lindell MichaelK., 2004, COMMUNICATING ENV RI
   Lindell MK, 2002, J APPL SOC PSYCHOL, V32, P2377, DOI 10.1111/j.1559-1816.2002.tb01868.x
   Lindell MK, 2000, RISK ANAL, V20, P13, DOI 10.1111/0272-4332.00002
   MILETI DS, 1992, SOC PROBL, V39, P40, DOI 10.1525/sp.1992.39.1.03x0062j
   MILETI DS, 1992, RISK ANAL, V12, P393, DOI 10.1111/j.1539-6924.1992.tb00691.x
   Mileti DS, 1997, SOC PROBL, V44, P89, DOI 10.1525/sp.1997.44.1.03x0214f
   Milfont TL, 2010, ENVIRON SCI ENG TECH, P19
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   Pagneux E, 2011, NAT HAZARDS, V58, P269, DOI 10.1007/s11069-010-9665-8
   Patt AG, 2008, GLOBAL ENVIRON CHANG, V18, P458, DOI 10.1016/j.gloenvcha.2008.04.002
   Quade D., 2011, VULNERABILITY ADAPTA
   Ranger N., 2010, ADAPTATION UK DECISI
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Rootzén H, 1999, AMBIO, V28, P550
   RUSSELL LA, 1995, ENVIRON BEHAV, V27, P744, DOI 10.1177/0013916595276002
   Scolobig A, 2012, NAT HAZARDS, V63, P499, DOI 10.1007/s11069-012-0161-1
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Solberg C, 2010, NAT HAZARD EARTH SYS, V10, P1663, DOI 10.5194/nhess-10-1663-2010
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Terpstra T, 2008, INT J WATER RESOUR D, V24, P555, DOI 10.1080/07900620801923385
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   TVERSKY A, 1973, COGNITIVE PSYCHOL, V5, P207, DOI 10.1016/0010-0285(73)90033-9
   Van Stokkom HTC, 2008, INT J RIVER BASIN MA, V6, P331, DOI 10.1080/15715124.2008.9635360
   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
   WEINSTEIN ND, 1980, J PERS SOC PSYCHOL, V39, P806, DOI 10.1037/0022-3514.39.5.806
   WEINSTEIN ND, 1989, PSYCHOL BULL, V105, P31, DOI 10.1037/0033-2909.105.1.31
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
NR 103
TC 118
Z9 125
U1 8
U2 137
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 DEC
PY 2014
VL 74
IS 3
BP 1773
EP 1794
DI 10.1007/s11069-014-1288-z
PG 22
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 AT7DK
UT WOS:000345096800026
DA 2025-01-10
ER

PT J
AU McEvoy, D
   Ahmed, I
   Trundle, A
   Sang, LT
   Diem, NN
   Suu, LTT
   Quoc, TB
   Mallick, FH
   Rahman, R
   Rahman, A
   Mukherjee, N
   Nishat, A
AF McEvoy, Darryn
   Ahmed, Iftekhar
   Trundle, Alexei
   Le Thanh Sang
   Nguyen Ngoc Diem
   Lam Thi Thu Suu
   Tran Ba Quoc
   Mallick, Fuad Hassan
   Rahman, Rezaur
   Rahman, Aminur
   Mukherjee, Nandan
   Nishat, Ainun
TI In support of urban adaptation: a participatory assessment process for
   secondary cities in Vietnam and Bangladesh
SO CLIMATE AND DEVELOPMENT
LA English
DT Article
DE climate risks; assessment tool kit; adaptation; disaster risk reduction;
   secondary cities; Vietnam; Bangladesh
ID CLIMATE-CHANGE ADAPTATION; ENVIRONMENTAL-CHANGE; POOR
AB Vietnam and Bangladesh are countries already impacted by weather-related extreme events. Scientific modelling projections indicate that climate change, and changes to climate variability, will increase risks for both countries in the future. Targeting this challenging contemporary agenda, this paper reflects on the lessons learned from a collaborative research project, funded by the Asia Pacific Network for Global Change Research, which was carried out jointly in the Vietnamese city of Hue and the Bangladeshi city of Satkhira. The focus on secondary cities was intentional as they face unique challenges - a combination of rapid growth and development, adverse climate-related impacts, and in many cases less institutional adaptive capacity than their primary city counterparts. Whilst numerous assessment tool kits already exist, these have typically been developed for rural or natural resource contexts. Therefore, the objective of this action research activity was to develop a flexible suite of participatory assessment tools and methodologies that were refined specifically for the urban context; as well as being easy to use by local practitioners at the city and neighbourhood scales. This paper summarizes the research and stakeholder engagement activity that was carried out before presenting the main findings from each of the case study cities (detailing both climate-related risks and potential adaptation options). This analysis is further extended to include a reflective critique of the assessment process, a comparative analysis of the activity carried out in the two case studies, and the 'South-South' learning process that occurred between project partners. Key findings are then distilled to put forward recommendations in support of climate change assessment activity in secondary cities across the Asia-Pacific region.
C1 [McEvoy, Darryn; Trundle, Alexei] RMIT Univ, Global Cities Inst, Climate Change Adaptat Program, Melbourne, Vic, Australia.
   [Ahmed, Iftekhar] RMIT Univ, Coll Design & Social Context, Melbourne, Vic, Australia.
   [Le Thanh Sang; Nguyen Ngoc Diem] HCMC, Southern Inst Sustainable Dev, Ho Chi Minh City, Vietnam.
   [Lam Thi Thu Suu; Tran Ba Quoc] Ctr Social Res & Dev, Hue, Vietnam.
   [Mallick, Fuad Hassan] BRAC Univ, Dept Architecture, Dhaka, Bangladesh.
   [Rahman, Rezaur] Inst Water & Flood Management, Dhaka, Bangladesh.
   [Rahman, Aminur] BRAC Univ, Postgrad Programs Disaster Management, Dhaka, Bangladesh.
   [Mukherjee, Nandan] BRAC Univ, Ctr Climate Change & Environm Res, Dhaka, Bangladesh.
   [Nishat, Ainun] BRAC Univ, Dhaka, Bangladesh.
C3 Royal Melbourne Institute of Technology (RMIT); Royal Melbourne
   Institute of Technology (RMIT); Bangladesh Rural Advancement Committee
   BRAC; BRAC University; Bangladesh Rural Advancement Committee BRAC; BRAC
   University; Bangladesh Rural Advancement Committee BRAC; BRAC
   University; Bangladesh Rural Advancement Committee BRAC; BRAC University
RP McEvoy, D (corresponding author), RMIT Univ, Global Cities Inst, Climate Change Adaptat Program, Melbourne, Vic, Australia.
EM darryn.mcevoy@rmit.edu.au
RI Ahmed, Iftekhar/GPW-8881-2022; Rahman, Mohammed Mofizur/AEY-5973-2022;
   Trundle, Alexei/D-5762-2018; McEvoy, Darryn/K-8015-2017
OI Ahmed, Iftekhar/0000-0001-5316-4584; Rahman, Mohammad
   Aminur/0000-0003-4775-6748; Trundle, Alexei/0000-0002-7076-4626; Quoc
   Ba, Tran/0000-0002-0522-501X; Mukherjee, Nandan/0000-0002-8397-3697;
   Rahman, Mohammad Rezaur/0000-0001-5355-8305; McEvoy,
   Darryn/0000-0003-4144-4137
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   AHMED A., 2008, Desakota Phenomenon Observed in Satkhira-Khulna-Jessore-Dhaka Corridor in the Southwestern Bangladesh. Part II F1 of Desakota Study Team
   Ahmed A U., 2006, Bangladesh Climate Change Impacts and Vulnerability: A Synthesis
   [Anonymous], 2009, Bangladesh climate change strategy and action plan
   [Anonymous], 1991, Action and knowledge: Breaking the monopoly with participatory action-research, DOI DOI 10.3362/9781780444239
   [Anonymous], 2010, Designing Climate Change Adaptation Initiatives: A UNDP Toolkit for Practitioners
   [Anonymous], WAT SATKH DISTR AN G
   [Anonymous], PLANN CLIM CHANG STR
   [Anonymous], 2011, Population-Housing Census
   [Anonymous], CLIM RISK MAN APPR D
   Bangladesh Bureau of Statistics, 2012, COMM REP SATKH ZIL J
   Banks N, 2011, ENVIRON URBAN, V23, P487, DOI 10.1177/0956247811417794
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Beckman M, 2011, CLIM DEV, V3, P32, DOI 10.3763/cdev.2010.0065
   Bubeck P, 2012, J FLOOD RISK MANAG, V5, P295, DOI 10.1111/j.1753-318X.2012.01151.x
   Chambers R., 1983, Rural development: putting the last first.
   Climate Change Cell, 2009, GEN PRECIS SCEN BANG
   Cohen B, 2006, TECHNOL SOC, V28, P63, DOI 10.1016/j.techsoc.2005.10.005
   Daze A., 2009, Climate vulnerability and capacity analysis handbook, V1st
   Douma A., 2009, COMMUNITY BASED ADAP
   Funfgeld H., 2011, Framing Climate Change Adaptation in Policy and Practice
   General Statistics Office of Vietnam, 2012, STAT YB VIETN STAT C
   Global Facility for Disaster Reduction and Recovery, 2011, VULN RISK RED AD CLI
   Hossain M.A., 2012, Climate Change and the sustainable use of water resources, climate change management
   Huq S, 2004, CLIM POLICY, V4, P25
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   ICLEI Oceania, 2008, LOC GOVT CLIM CHANG
   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
   Karim MF, 2008, GLOBAL ENVIRON CHANG, V18, P490, DOI 10.1016/j.gloenvcha.2008.05.002
   Lerner AM, 2011, GEOGR J, V177, P311, DOI 10.1111/j.1475-4959.2010.00394.x
   Master Planning Organization, 1991, NAT WAT MAN PLAN PHA
   Meehl G.A., 2007, Climate change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the intergovenmental Panel on Climate Change, P283
   Ministry of Natural Resources and Environment, 2010, VIET NAMS 2 NAT COMM
   Moniruzzaman M, 2012, CLIMATE CHANGE SUSTA, P317
   Moser C, 2011, ENVIRON URBAN, V23, P463, DOI 10.1177/0956247811418739
   Netherlands Climate Assistance Program, 2008, CLIM CHANG CLIM VAR
   Parnell S, 2007, AREA, V39, P357, DOI 10.1111/j.1475-4762.2007.00760.x
   Parvin Gulsan Ara, 2008, Journal of Coastal Conservation, V12, P181, DOI 10.1007/s11852-009-0044-0
   Phuong T. B., 2012, VIETNAM COUNTRY REPO
   Regmi B, 2010, PARTICIPATORY TOOLS
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   RONDINELLI DA, 1983, GEOGR REV, V73, P42, DOI 10.2307/214394
   Stroud A., FRAMEWORK INTEGRATIO
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   UN-Habitat, 2008, SORS CIT CLIM CHANG
   Walters M., 2009, Action Research, V21, P1
   Whyte W.F., 1991, PARTICIPATORY ACTION
   World Bank, 2010, EC AD CLIM CHANG VIE
NR 48
TC 9
Z9 11
U1 0
U2 30
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.
PY 2014
VL 6
IS 3
BP 205
EP 215
DI 10.1080/17565529.2014.886991
PG 11
WC Development Studies; Environmental Studies
WE Social Science Citation Index (SSCI)
SC Development Studies; Environmental Sciences & Ecology
GA AN1UD
UT WOS:000340368200001
DA 2025-01-10
ER

PT J
AU Persson, Å
AF Persson, Asa
TI Environmental policy integration and bilateral development assistance:
   challenges and opportunities with an evolving governance framework
SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS
LA English
DT Article
DE Environmental policy integration; Official development assistance;
   Climate change
ID CLIMATE; ADAPTATION
AB The aim of this article is to examine progress so far, as well as current challenges and opportunities for EPI in bilateral official development assistance (ODA). A short review of progress shows that effectiveness has so far been limited. Although there has been intense donor activity in relation to stating commitment to the EPI principle and developing a wide range of processes, institutions, and tools, a large part of ODA still is likely to have directly harmful impacts on the environment. The implications for EPI of the emerging governance framework for ODA, namely, the principles stipulated in the 2005 Paris Declaration on Aid Effectiveness, are then discussed. Both challenges and opportunities are presented, and these are empirically illustrated with a case study of the integration of climate change adaptation in ODA. Finally, this article proposes that at least four special conditions apply to EPI in the bilateral ODA context as compared with domestic EPI: two or more jurisdictions, electorates, and governments are involved; a negotiation context characterized by sovereign states but with a potential power asymmetry; potential conflicts of interest and equity concerns in cases where environmental objectives refer to global environmental problems primarily caused by developed countries; and a policy-making process characterized by a comparatively wide span of both strategic and operational decisions, where EPI can take on very different meanings. The initial exploration presented in this article suggests that these conditions hold, and that, as a consequence, EPI arguably involves more 'high-politics' decisions and questions than in a domestic policy context.
C1 Stockholm Environm Inst, S-10691 Stockholm, Sweden.
C3 Stockholm Environment Institute
RP Persson, Å (corresponding author), Stockholm Environm Inst, Kraftriket 2B, S-10691 Stockholm, Sweden.
EM asa.persson@sei.se
RI Persson, Åsa/ABD-8096-2021
OI Persson, Asa/0000-0002-8886-5046
CR Agrawala S., 2008, Economic Aspects of Adaptation to Climate Change
   Agrawala Shardul., 2005, Bridge over Troubled Waters: Linking Climate Change and Development, P133
   [Anonymous], 8 ECP CTR EUR POL ST
   [Anonymous], CLIMATE CHANGE ADAPT
   [Anonymous], 2007, IMPACT ASSESS PROJ A
   [Anonymous], CLEAN EN DEV INV FRA
   [Anonymous], FOLL UP INT C FIN DE
   [Anonymous], ANN M INT STUD ASS L
   [Anonymous], 2008, REALITY OFFICIAL CLI
   [Anonymous], 2007, HUMAN DEV REPORT 200
   [Anonymous], 2021, PAR COLL GREEN BUDG
   BOJO RJ, 2004, 102 WORLD BANK
   *CEC, 2000, EUR COMM DEV POL, P212
   *CEC, 2001, STRAT INT ENV EC EC, P609
   CHANDLER D, 2007, SPIKED ONLINE   0201
   Dijkstra AG, 2002, DEV CHANGE, V33, P307, DOI 10.1111/1467-7660.00256
   Eriksen S E.H., 2007, Climate change adaptation and poverty reduction: key interactions and critical measures
   *EU, 2005, OFFICIAL J EUROPEAN, V46, P1
   European Environment Agency (EEA), 2005, ENV POL INT EUR STAT
   *G8 GLEN, 2005, GLEN PLAN ACT, P6
   Gibson ClarkC., 2005, SAMARITANS DILEMMA P
   Gigli S., 2007, STOCKTAKING PROGR IN
   HASSAN AHI, 1991, J TROP PEDIATRICS, V37, P25, DOI 10.1093/tropej/37.1.25
   Hicks R.L., 2008, Greening aid?: Understanding the environmental impact of development assistance
   Huq S., 2003, MAINSTREAMING ADAPTA
   Jordan A, 2008, INNOVATION IN ENVIRONMENTAL POLICY: INTEGRATING THE ENVIRONMENT FOR SUSTAINABILITY, P313
   Keen M, 2005, ENVIRON IMPACT ASSES, V25, P628, DOI 10.1016/j.eiar.2004.09.011
   Klein R.J., 2008, Adaptation: Needs, financing and institutions
   Klein R.J.T., 2001, ADAPTATION CLIMATE C
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Kok M, 2008, CLIM POLICY, V8, P103, DOI 10.3763/cpol.2007.0436
   KRAMER AM, 2007, 200734 UNDP HUM DEV
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Laugen Torunn., 1996, Green global yearbook, P81
   LAWSON A, 2008, GOVT I PUBLIC EXPEND
   Lenschow A., 2002, ENV POLICY INTEGRATI
   Levina E., 2007, Adaptation to climate change: International agreements for local needs
   Lewis TL, 2003, SOC SCI QUART, V84, P144, DOI 10.1111/1540-6237.8401009
   Lundqvist Lennart., 2004, Sweden and Ecological Governance. Straddling the Fence
   McGray H., 2007, Weathering the Storm: Options for Framing Adaptation and Development
   Meier G.M., 2001, FRONTIERS DEV EC
   Michaelowa A, 2007, CLIMATIC CHANGE, V84, P5, DOI 10.1007/s10584-007-9270-3
   MILLER F, 2008, CHALLENGE MOVING ACK
   Neumayer E., 2003, ROUTLEDGE STUD DEV E, V34
   Nilsson M., 2007, Environmental Policy Integration in Practice
   ODI, 2006, ADDR ENV OBJ CONT BU
   *OECD, 1989, ENV IMP DEV PROJ
   *OECD, 1997, CAP DEV ENV PRINC PR
   *OECD, 2001, DON SUPP I CAP DEV E
   OECD, 2007, 2006 SURV MON PAR DE
   *OECD, 2008, HIGH LEV M 21 MAY 20
   *OECD, 1992, OECD DAC GUID AID EN
   OECD, 2006, APPL STRAT ENV ASS G
   *OECD, 2006, FRAM COMM ACT SHAR G
   *OECD, 2008, DEV COOP REP 20007, V9
   *OECD, 2005, HARM AL RES PROGR RE
   *OECD, 1995, DEV ENV CAP FRAM DON
   *OECD, 1991, POL STAT M OECD MIN
   *OECD, 1999, COMP DON OP PRACT SU
   OECD-DAC, 1996, SHAP 21 CENT CONTR D
   Organization for Economic Cooperation and Development (OECD), 1992, GOOD PRACT ENV IMP A
   PALERM J, 2007, IMPACT ASSESSMENT PR, V25, P163
   Persson A., 2007, Environment policy integration in practice: Shaping institutions for learning, P25
   PERSSON A, 2009, ENV POLICY IN PRESS
   Persson Å, 2009, ROUTL ADV INT RELAT, P162
   Picciotto R., 2002, Evaluation, V8, P322, DOI DOI 10.1177/135638902401462420
   Preston Peter., 1996, Development Theory: An Introduction
   Sperling F., 2003, Poverty and climate change
   Stern N., 2007, The Economics of Climate Change: The Stern Review, DOI DOI 10.1017/CBO9780511817434
   TELLAM I, 2007, TIEMPO, V64, P14
   Tews K, 2003, EUR J POLIT RES, V42, P569, DOI 10.1111/1475-6765.00096
   *UN, 2002, ACONF19811 UN
   WILKINSON D, 2009, INNOVATION ENV POLIC
   Yamin F, 2005, CLIM POLICY, V5, P349
   Zimmermann Felix., 2008, Financing Development 2008: Whose Ownership?, P17
   ,, 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 77
TC 22
Z9 22
U1 1
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1567-9764
EI 1573-1553
J9 INT ENVIRON AGREEM-P
JI Int. Environ. Agreem.-Polit. Law Econom.
PD NOV
PY 2009
VL 9
IS 4
BP 409
EP 429
DI 10.1007/s10784-009-9110-1
PG 21
WC Economics; Environmental Studies; Law; Political Science
WE Social Science Citation Index (SSCI)
SC Business & Economics; Environmental Sciences & Ecology; Government & Law
GA 510EJ
UT WOS:000271070500005
DA 2025-01-10
ER

PT J
AU Corte, E
   Ajmar, A
   Camporeale, C
   Cina, A
   Coviello, V
   Tonolo, FG
   Godio, A
   Macelloni, MM
   Tamea, S
   Vergnano, A
AF Corte, Elisabetta
   Ajmar, Andrea
   Camporeale, Carlo
   Cina, Alberto
   Coviello, Velio
   Giulio Tonolo, Fabio
   Godio, Alberto
   Macelloni, Myrta Maria
   Tamea, Stefania
   Vergnano, Andrea
TI Multitemporal characterization of a proglacial system: a
   multidisciplinary approach
SO EARTH SYSTEM SCIENCE DATA
LA English
DT Article
ID SEDIMENT CONNECTIVITY; ALPINE CATCHMENT; GRAVEL-BED; GLACIER; TRANSPORT;
   DYNAMICS; EROSION; RATES; VALLEY; FIELD
AB The recession of Alpine glaciers causes an increase in the extent of proglacial areas and leads to changes in the water discharge and sediment balance (morphodynamics and sediment transport). Although the processes occurring in proglacial areas are relevant not only from a scientific point of view but also for the purpose of climate change adaptation, there is a lack of work on the continuous monitoring and multitemporal characterization of these areas. This study offers a multidisciplinary approach that merges the contributions of different scientific disciplines, such as hydrology, geophysics, geomatics, and water engineering, to characterize the Rutor Glacier and its proglacial area. Since 2020, we have surveyed the glacier and its proglacial area using both uncrewed and crewed aerial surveys (https://doi.org/10.5281/zenodo.8089499, ; https://doi.org/10.5281/zenodo.10100968, ; https://doi.org/10.5281/zenodo.10074530, ; https://doi.org/10.5281/zenodo.10101236, ; https://doi.org/10.5281/zenodo.7713146, ). We have determined the bathymetry of the most downstream proglacial lake and the thickness of the sediments deposited on its bottom (https://doi.org/10.5281/zenodo.7682072, ). The water depth at four different locations within the hydrographic network of the proglacial area (https://doi.org/10.5281/zenodo.7697100, ) and the bedload at the glacier snout (https://doi.org/10.5281/zenodo.7708800, ) have also been continuously monitored. The synergy of our approach enables the characterization, monitoring, and understanding of a set of complex and interconnected processes occurring in a proglacial area.
C1 [Corte, Elisabetta; Camporeale, Carlo; Cina, Alberto; Godio, Alberto; Macelloni, Myrta Maria; Tamea, Stefania; Vergnano, Andrea] Politecn Torino, Dept Environm Land & Infrastruct Engn, I-10129 Turin, Italy.
   [Ajmar, Andrea] Politecn Torino, Interuniv Dept Reg & Urban Studies & Planning, I-10125 Turin, Italy.
   [Coviello, Velio] Italian Natl Res Council CNR, Res Inst Geohydrol Protect IRPI, I-35127 Padua, Italy.
   [Giulio Tonolo, Fabio] Politecn Torino, Dept Architecture & Design, I-10125 Turin, Italy.
C3 Polytechnic University of Turin; Polytechnic University of Turin;
   Consiglio Nazionale delle Ricerche (CNR); Istituto di Ricerca per la
   Protezione Idrogeologica (IRPI-CNR); Istituto di Neuroscienze (IN-CNR);
   Polytechnic University of Turin
RP Corte, E (corresponding author), Politecn Torino, Dept Environm Land & Infrastruct Engn, I-10129 Turin, Italy.
EM elisabetta.corte@polito.it
RI Camporeale, Carlo/I-1247-2019; Ajmar, Andrea/AAK-1737-2020; Vergnano,
   Andrea/AAX-8371-2020
OI Macelloni, Myrta Maria/0000-0002-2940-7977; Corte,
   Elisabetta/0000-0003-4541-7857; Vergnano, Andrea/0000-0001-9696-6747;
   Tamea, Stefania/0000-0001-6388-3283; Camporeale,
   Carlo/0000-0002-7311-6018
FU European Regional Development Fund [8504]
FX This research has been supported by the European Regional Development
   Fund, Interreg (grant no. 8504).
CR Alley RB, 1997, QUATERNARY SCI REV, V16, P1017, DOI 10.1016/S0277-3791(97)00034-6
   ARPA Valle d'Aosta: Bilancio di massa ARPA Valle d'Aosta, 2014, Tech. Rep.
   Bakker M, 2020, J GEOPHYS RES-EARTH, V125, DOI 10.1029/2019JF005416
   Baretti M., 1880, Bollettino del "Club Alpino Italiano, V14, P43
   Bogen J, 2015, EARTH SURF PROC LAND, V40, P942, DOI 10.1002/esp.3669
   Bradford JH, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL032488
   Brasington J, 2000, EARTH SURF PROC LAND, V25, P973, DOI 10.1002/1096-9837(200008)25:9<973::AID-ESP111>3.0.CO;2-Y
   Bunte K, 2004, J HYDRAUL ENG, V130, P879, DOI 10.1061/(ASCE)0733-9429(2004)130:9(879)
   Camporese M, 2014, WATER RESOUR RES, V50, P806, DOI 10.1002/2013WR013604
   Carrer M, 2023, NAT CLIM CHANGE, V13, P155, DOI 10.1038/s41558-022-01575-3
   Carrivick JL, 2021, EARTH-SCI REV, V221, DOI 10.1016/j.earscirev.2021.103809
   Cavalli M, 2019, GEOGR PHYS ENVIRON, P271, DOI 10.1007/978-3-319-94184-4_16
   Chiabrando F., 2019, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci, VXLII-2/W13, P247, DOI DOI 10.5194/ISPRS-ARCHIVES-XLII-2-W13-247-2019
   Corte E., Zenodo data set, DOI [10.5281/zenodo, DOI 10.5281/ZENODO]
   Corte E., 2021, Zenodo data set, DOI [10.5281/zenodo.10101236,2023h, DOI 10.5281/ZENODO.10101236,2023H]
   Corte E., Zenodo data set, DOI [10.5281/zenodo.7697100,2023d, DOI 10.5281/ZENODO.7697100,2023D]
   Corte E., Zenodo data set, DOI [10.5281/zenodo.7713146,2023b, DOI 10.5281/ZENODO.7713146,2023B]
   Corte E., 2024, Zenodo data set, DOI [10.5281/zenodo.11144390, DOI 10.5281/ZENODO.11144390]
   Corte Elisabetta, 2023, Zenodo, DOI 10.5281/ZENODO.10074530
   Corte Elisabetta, 2023, Zenodo, DOI 10.5281/ZENODO.10100968
   Corte Elisabetta, 2023, Zenodo, DOI 10.5281/ZENODO.8089499
   Corte Elisabetta, 2023, Zenodo, DOI 10.5281/ZENODO.7708800
   Coviello V, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031873
   Coviello V, 2018, EARTH SURF PROC LAND, V43, P2219, DOI 10.1002/esp.4387
   Crameri F, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19160-7
   Curry AM, 2006, J QUATERNARY SCI, V21, P211, DOI 10.1002/jqs.954
   Delaney I, 2018, EARTH SURF PROC LAND, V43, P765, DOI 10.1002/esp.4239
   Eichel J, 2019, GEOGR PHYS ENVIRON, P327, DOI 10.1007/978-3-319-94184-4_19
   Gizzi M, 2022, WATER-SUI, V14, DOI 10.3390/w14071004
   GLIMS, 2005, NSIDC, V1
   Grove J.M., 2004, Little Ice Ages, Ancient and Modern, DOI [10.4324/9780203770269, DOI 10.4324/9780203770269]
   Guillon H, 2018, EARTH SURF PROC LAND, V43, P1478, DOI 10.1002/esp.4333
   Hallet B, 1996, GLOBAL PLANET CHANGE, V12, P213, DOI 10.1016/0921-8181(95)00021-6
   He HL, 2021, ADV AGRON, V168, P83, DOI 10.1016/bs.agron.2021.02.003
   Heckmann T, 2013, GEOMORPHOLOGY, V182, P89, DOI 10.1016/j.geomorph.2012.10.033
   HICKS DM, 1990, ARCTIC ALPINE RES, V22, P26, DOI 10.2307/1551718
   Hilger L, 2019, GEOGR PHYS ENVIRON, P251, DOI 10.1007/978-3-319-94184-4_15
   Hooke RL, 2000, GEOL SOC AM BULL, V112, P1778, DOI 10.1130/0016-7606(2000)112<1778:TAUTOC>2.0.CO;2
   Ivy-Ochs S, 2009, QUATERNARY SCI REV, V28, P2137, DOI 10.1016/j.quascirev.2009.03.009
   James MR, 2019, EARTH SURF PROC LAND, V44, P2081, DOI 10.1002/esp.4637
   Lane SN, 2003, EARTH SURF PROC LAND, V28, P249, DOI 10.1002/esp.483
   Laute K, 2014, GEOMORPHOLOGY, V216, P93, DOI 10.1016/j.geomorph.2014.03.021
   Mao LC, 2019, GEOGR PHYS ENVIRON, P199, DOI 10.1007/978-3-319-94184-4_12
   Matthews J.A., 2019, Geomorphology of Proglacial Systems: Landform and Sediment Dynamics in Recently Deglaciated Alpine Landscapes, V29, DOI [10.1177/0959683619840576, DOI 10.1177/0959683619840576]
   Moreau M, 2008, GEOMORPHOLOGY, V95, P48, DOI 10.1016/j.geomorph.2006.07.031
   Müller BU, 1999, GEODIN ACTA, V12, P291, DOI 10.1016/S0985-3111(00)87046-1
   Orombelli G., 2005, GEOGR FIS DIN QUAT, P239
   Orwin JF, 2004, HYDROL PROCESS, V18, P1521, DOI 10.1002/hyp.1402
   Paul F, 2017, REMOTE SENS ENVIRON, V203, P256, DOI 10.1016/j.rse.2017.08.038
   Psarras G.C., 2018, Dielectric Polymer Materials for High-Density Energy Storage, P11, DOI [DOI 10.1016/B978-0-12-813215-9.00002-6, 10.1016/b978-0-12-813215-9.00002-6]
   Raup B, 2007, GLOBAL PLANET CHANGE, V56, P101, DOI 10.1016/j.gloplacha.2006.07.018
   Sacco F., 1917, Bollettino della Societa Geologica Italiana, V36, P1
   Sambuelli L., 2015, Near Surface Geoscience 2015, V1, P811, DOI [10.3997/2214-4609.201413826, DOI 10.3997/2214-4609.201413826]
   Sandmeier K.-J., 2021, Reflexw, Sandmeier Geophysical Research software
   Schmandt B, 2013, GEOPHYS RES LETT, V40, P4858, DOI 10.1002/grl.50953
   SCT Geoportale, Regione autonoma Valle d'Aosta: Regione Autonoma Valle d'Aosta, Sistema delle Conoscenze Territoriali, Geoportale
   Slaymaker O, 2011, QUAEST GEOGR, V30, P85, DOI 10.2478/v10117-011-0008-y
   Sommer C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16818-0
   Teppati Lose L., Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, P507, DOI [10.5194/isprs-archives-XLIII-, DOI 10.5194/ISPRS-ARCHIVES-XLIII]
   Losè LT, 2020, ISPRS INT J GEO-INF, V9, DOI 10.3390/ijgi9100578
   Valbusa U., 1937, Bollettino del Comitato Glaciologico Italiano, V17, P183
   Vergnano A, 2023, EARTH SURF PROC LAND, V48, P1374, DOI 10.1002/esp.5555
   Villa F, 2007, GEOGR FIS DIN QUAT, V30, P87
   Zhang T, 2022, NAT REV EARTH ENV, V3, P832, DOI 10.1038/s43017-022-00362-0
NR 64
TC 1
Z9 1
U1 3
U2 3
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 JUL 17
PY 2024
VL 16
IS 7
BP 3283
EP 3306
DI 10.5194/essd-16-3283-2024
PG 24
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences
GA YR4M1
UT WOS:001270196300001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Njatang, DK
   Djourdebbé, FB
   Wadou, NDA
AF Njatang, Donald Kemajou
   Djourdebbe, Franklin Bouba
   Wadou, Natacha Darlene Adda
TI Climate variability, armed conflicts and child malnutrition in
   sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
SO HELIYON
LA English
DT Article
DE Malnutrition; Armed conflicts; Spatial non-stationarity; Sub-saharan
   africa
ID GEOGRAPHICALLY WEIGHTED REGRESSION; ORGANIZED VIOLENCE; FOOD SECURITY;
   HEALTH; RAINFALL; DROUGHT; TEMPERATURE; HOUSEHOLD; IMPACTS; STRESS
AB Background: Sub-Saharan Africa (SSA) has one of the highest prevalence of malnutrition among children under 5 in the world. It is also the region most vulnerable to the adverse effect of climate change, and the one that records the most armed conflicts. The chains of causality suggested in the literature on the relationship between climate change, armed conflict, and malnutrition have rarely been supported by empirical evidence for SSA countries. Methods: This study proposes to highlight, under the hypothesis of spatial non-stationarity, the influence of climatic variations and armed conflicts on malnutrition in children under 5 in Ethiopia, Kenya, and Nigeria. To do this, we use spatial analysis on data from Demographic and Health Surveys (DHS), Uppsala Conflict Data Program Georeferenced Event Dataset (UCDP GED), Climate Hazards center InfraRed Precipitation with Station data (CHIRPS) and Moderate Resolution Imaging Spectroradiometer (MODIS). Results: The results show that there is a spatial autocorrelation of malnutrition measured by the prevalence of underweight children in the three countries. Also, local geographically weighted analysis shows that armed conflict, temperature and rainfall are positively associated with the prevalence of underweight children in localities of Somali in Ethiopia, Mandera and Turkana of Wajir in Kenya, Borno and Yobe in Nigeria. Conclusion: In conclusion, the results of our spatial analysis support the implementation of conflict-sensitive climate change adaptation strategies.
C1 [Njatang, Donald Kemajou] Univ Montreal, Dept Demog, Montreal, PQ, Canada.
   [Djourdebbe, Franklin Bouba; Wadou, Natacha Darlene Adda] Univ Yaounde II, Inst Training & Demog Res IFORD, Soa, Cameroon.
C3 Universite de Montreal
RP Njatang, DK (corresponding author), Univ Montreal, Dept Demog, Montreal, PQ, Canada.
EM njatangkemajou@yahoo.fr; addanatacha@gmail.com; addanatacha@gmail.com
CR Acheampong AO, 2019, SCI TOTAL ENVIRON, V677, P436, DOI 10.1016/j.scitotenv.2019.04.353
   Adong A, 2021, WORLD DEV, V147, DOI 10.1016/j.worlddev.2021.105636
   Akombi BJ, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0177338
   Allansson M, 2017, J PEACE RES, V54, P574, DOI 10.1177/0022343317718773
   [Anonymous], 2014, NIGERIA DEMOGRAPHIC
   Anselin L, 2002, AGR ECON-BLACKWELL, V27, P247, DOI 10.1111/j.1574-0862.2002.tb00120.x
   Anselin L., 2005, Spatial Regression Analysis in R-A Workbook
   Anselin L, 2014, MODERN SPATIAL ECONO
   Araya A, 2015, AGR FOREST METEOROL, V214, P252, DOI 10.1016/j.agrformet.2015.08.259
   Arowolo AO, 2018, SCI TOTAL ENVIRON, V636, P597, DOI 10.1016/j.scitotenv.2018.04.277
   Asmall T, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148500
   Ayinu YT, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100307
   Bandyopadhyay S, 2012, APPL GEOGR, V33, P63, DOI 10.1016/j.apgeog.2011.07.017
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Bauer JM, 2017, ECON HUM BIOL, V24, P74, DOI 10.1016/j.ehb.2016.10.010
   Bello O. B., 2012, International Journal of Agriculture and Forestry, V2, P49
   Bendavid E, 2021, LANCET, V397, P522, DOI 10.1016/S0140-6736(21)00131-8
   Bonkat L., 2016, Surviving in a Conflict Environment: Market Women and Changing Socioeconomic Relations in Jos Nigeria, 2001 - 2010
   Brown ME, 2020, FOOD SECUR, V12, P1241, DOI 10.1007/s12571-020-01041-y
   Brunsdon C, 1996, GEOGR ANAL, V28, P281, DOI 10.1111/j.1538-4632.1996.tb00936.x
   Caminade C, 2019, ANN NY ACAD SCI, V1436, P157, DOI 10.1111/nyas.13950
   Carmignani F, 2016, ECON SYST, V40, P109, DOI 10.1016/j.ecosys.2015.08.002
   Cederholm T, 2015, CLIN NUTR, V34, P335, DOI 10.1016/j.clnu.2015.03.001
   Cockx K, 2015, APPL GEOGR, V63, P220, DOI 10.1016/j.apgeog.2015.07.002
   Comber A, 2018, J SPAT INF SCI, P63, DOI 10.5311/JOSIS.2018.17.422
   Dahab R, 2020, BMC PUBLIC HEALTH, V20, DOI 10.1186/s12889-020-08665-x
   Dunn G, 2018, CONFL HEALTH, V12, DOI 10.1186/s13031-018-0136-2
   Dunne JP, 2014, PEACE ECON PEACE SCI, V20, P539, DOI 10.1515/peps-2014-0038
   Ebi KL, 2021, LANCET, V398, P698, DOI 10.1016/S0140-6736(21)01208-3
   Ethiopia Central Statistical Agency (ECSA), 2017, ICF Macro, Ethiopia Demographic and Health Survey 2016
   Eze Jude Nwafor., 2018, Geoenvironmental Disasters, V5, P1, DOI [10.1186/s40677-018-0111-7, DOI 10.1186/S40677-018-0111-7]
   Feng X, 2018, J GEOGR SYST, V20, P207, DOI 10.1007/s10109-018-0274-5
   Foody GM, 2003, REMOTE SENS ENVIRON, V88, P283, DOI 10.1016/j.rse.2003.08.004
   Fotheringham A. S  ..., 2008, The SAGE handbook of spatial analysis
   Fotheringham AS, 1996, INT J GEOGR INF SYST, V10, P605, DOI 10.1080/026937996137909
   Funk C, 2015, EARTH SYST SCI DATA, V7, P275, DOI 10.5194/essd-7-275-2015
   Gleditsch NP, 2002, J PEACE RES, V39, P615, DOI 10.1177/0022343302039005007
   Grace K, 2022, SPAT DEMOGR, V10, P329, DOI 10.1007/s40980-021-00102-w
   Hagmann T, 2014, J EAST AFR STUD, V8, P725, DOI 10.1080/17531055.2014.946238
   Hassan AG, 2019, WEATHER CLIM EXTREME, V23, DOI 10.1016/j.wace.2019.100192
   Hill R., 2019, The Chronology of a Disaster, DOI [10.1596/31721, DOI 10.1596/31721]
   Hoddinott J, 2008, LANCET, V371, P411, DOI 10.1016/S0140-6736(08)60205-6
   Hoddinott J, 2013, MATERN CHILD NUTR, V9, P69, DOI 10.1111/mcn.12080
   Howell E, 2020, MATERN CHILD NUTR, V16, DOI 10.1111/mcn.12968
   Hu W, 2020, J CLEAN PROD, V257, DOI 10.1016/j.jclepro.2020.120484
   Ide T, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.456
   Idumah F. O., 2016, Journal of Agricultural Science (Toronto), V8, P74, DOI 10.5539/jas.v8n2p74
   Iwuagwu Obi., 2012, The Journal of International Social Research, V5, P280
   Jankowska MM, 2012, APPL GEOGR, V33, P4, DOI 10.1016/j.apgeog.2011.08.009
   Johnson K, 2014, APPL GEOGR, V54, P209, DOI 10.1016/j.apgeog.2014.08.007
   Jones AD, 2016, J NUTR, V146, P1257, DOI 10.3945/jn.115.226654
   Jurado C, 2018, TRANSBOUND EMERG DIS, V65, P557, DOI 10.1111/tbed.12740
   Kasomo JM, 2021, SSM-POPUL HLTH, V16, DOI 10.1016/j.ssmph.2021.100939
   Kemajou DN, 2022, J WATER HEALTH, V20, P589, DOI 10.2166/wh.2022.199
   Kenya National Bureau of Statistics (KNBS), 2015, ICF Macro, Kenya Demographic and Health Survey 2014
   Kimani P., 2019, Spatial Dynamics of Armed Conflict in Kenya during the Electioneering Periods of 1997, 2002, 2007, 2013 and 2017 General Elections
   Kogo BK, 2021, ENVIRON DEV SUSTAIN, V23, P23, DOI 10.1007/s10668-020-00589-1
   Lees T, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14030698
   Lewis K, 2017, CLIMATIC CHANGE, V144, P317, DOI 10.1007/s10584-017-2036-7
   Makinde OA, 2023, CONFL HEALTH, V17, DOI 10.1186/s13031-023-00513-0
   Marx S, 2014, BMC PUBLIC HEALTH, V14, DOI 10.1186/1471-2458-14-1189
   Mbatha N, 2018, CLIMATE, V6, DOI 10.3390/cli6040095
   Mekonen AA, 2020, MODEL EARTH SYST ENV, V6, P285, DOI 10.1007/s40808-019-00678-9
   Melander E, 2016, J PEACE RES, V53, P727, DOI 10.1177/0022343316663032
   Minoiu C, 2014, J DEV ECON, V108, P237, DOI 10.1016/j.jdeveco.2014.03.003
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   Niles MT, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd0ab
   O'Sullivan D, 2003, GEOGR ANAL, V35, P272, DOI 10.1111/j.1538-4632.2003.tb01114.x
   Oshan TM, 2019, ISPRS INT GEO-INF, V8, DOI 10.3390/ijgi8060269
   Peña M, 2002, ANNU REV NUTR, V22, P241, DOI 10.1146/annurev.nutr.22.120701.141104
   Pretorius CE, 2021, PEDIATRICS, V147, DOI 10.1542/peds.2020-030643
   Rabbi SE, 2021, SPAT SPATIO-TEMPORAL, V37, DOI 10.1016/j.sste.2021.100422
   Randell H, 2020, SOC SCI MED, V261, DOI 10.1016/j.socscimed.2020.113234
   Robinson DP, 2013, INT J APPL EARTH OBS, V21, P374, DOI 10.1016/j.jag.2011.11.001
   Sandler A., 2019, Evaluating the Latent Determinants of Childhood Malnutrition: A Hierarchical Analysis of Nigeria and Kenya, DOI [10.2139/ssrn.3506163, DOI 10.2139/SSRN.3506163]
   Sharifi A, 2021, SUSTAIN SCI, V16, P1079, DOI 10.1007/s11625-020-00853-3
   Shi Z, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17134792
   Siddiqui F, 2020, FRONT PUBLIC HEALTH, V8, DOI 10.3389/fpubh.2020.00453
   Sishodia RP, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12193136
   Smith TE, 2009, GEOGR ANAL, V41, P307, DOI 10.1111/j.1538-4632.2009.00758.x
   Stephen K.R., 2020, SIASAT, V5, P16, DOI [10.33258/siasat.v5i3.65, DOI 10.33258/SIASAT.V5I3.65]
   Sundberg R, 2013, J PEACE RES, V50, P523, DOI 10.1177/0022343313484347
   Tawane A., 2018, Am. J. Environ. Eng. Sci., P77
   Tranchant JP, 2019, WORLD DEV, V119, P185, DOI 10.1016/j.worlddev.2018.01.027
   Tu J, 2011, APPL GEOGR, V31, P376, DOI 10.1016/j.apgeog.2010.08.001
   U. Fao, 2021, The State of Food Security and Nutrition in the World 2021, DOI [10.4060/cb4474-n, DOI 10.4060/CB4474-N]
   van Cooten MH, 2019, MATERN CHILD NUTR, V15, DOI 10.1111/mcn.12631
   Walters DD, 2019, HEALTH POLICY PLANN, V34, P407, DOI 10.1093/heapol/czz050
   Wang CH, 2017, J TRANSP GEOGR, V62, P136, DOI 10.1016/j.jtrangeo.2017.05.011
   Xu ZW, 2012, INT J ENV RES PUB HE, V9, P3298, DOI 10.3390/ijerph9093298
   Yordanov I, 2000, PHOTOSYNTHETICA, V38, P171, DOI 10.1023/A:1007201411474
NR 91
TC 4
Z9 4
U1 5
U2 6
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 e21672
DI 10.1016/j.heliyon.2023.e21672
EA NOV 2023
PG 19
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA Y4XT2
UT WOS:001105312400001
PM 38027550
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wahab, F
   Khan, MJ
   Khan, MY
   Mushtaq, R
AF Wahab, Fakhrul
   Khan, Majid Jamal
   Khan, Muhammad Yar
   Mushtaq, Rukhshanda
TI The impact of climate change on agricultural productivity and
   agricultural loan recovery; evidence from a developing economy
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article; Early Access
DE Climate change; Agricultural productivity; Agricultural loan recovery;
   Pakistan
ID DETERMINANTS; RATES
AB Agricultural loans are critically linked with agricultural productivity. Agricultural productivity has a significant dependency on climate contingencies. This motivates us to explore the impacts of the climate change on recovery of agricultural loans caused by losses in agricultural productivity. Using panel data from 82 districts of Pakistan over a period of 21 years, i.e., 2000-2020, we estimate the sensitivity of agricultural productivity to climate change in each district. Using these sensitivities, we then apply Panel-Corrected Standard Errors (PCSE) Regression to estimate whether climate change sensitivities of agricultural productivity have any impact on the recoveries of agricultural loans across the sampled districts. We find that the impact of climate change on agricultural loan recoveries is asymmetric. Specifically, negative sensitivities to climate change result in lower recoveries, while positive sensitivities led to enhanced loan recoveries. Our study is unique as it provides evidence of the impact of climate change on agricultural productivity as well as loan recoveries in a set of district-level data. We built a unique climate change index to measure the level of climate change and also introduced a framework to measure climate change sensitivities of agricultural productivity in our sample districts. We believe that this novel approach is an addition to the existing literature on climate change. We suggest that while devising agricultural and credit policies the governments and banks must consider investing in educating the farmer's on climate change adaptation strategies.
C1 [Wahab, Fakhrul; Khan, Majid Jamal; Khan, Muhammad Yar] COMSATS Univ Islamabad, Dept Management Sci, Wah Campus, Rawalpindi, Pakistan.
   [Mushtaq, Rukhshanda] Univ Wah, Dept Educ, Wah, Pakistan.
C3 COMSATS University Islamabad (CUI)
RP Khan, MJ (corresponding author), COMSATS Univ Islamabad, Dept Management Sci, Wah Campus, Rawalpindi, Pakistan.
EM majidjamal@ciitwah.edu.pk
RI Khan, Majid Jamal/JCE-7530-2023; Yar Khan, Muhammad/IYS-6595-2023
OI Khan, Majid Jamal/0000-0002-7243-9157
FU Pakistan Meteorological Department [CDP-7(4)/3/E/2020/]
FX The funding was provided by Pakistan Meteorological Department, Letter
   Ref No. CDP-7(4)/3/E/2020/.
CR Afolabi J.A., 2010, J Soc Sci, V22, P115, DOI [10.1080/09718923.2010.11892791, DOI 10.1080/09718923.2010.11892791]
   Ahmad D, 2021, ENVIRON DEV SUSTAIN, V23, P8573, DOI 10.1007/s10668-020-00983-9
   Ali S, 2017, FOODS, V6, DOI 10.3390/foods6060039
   Allen F, 2019, J FINANC INTERMED, V39, P19, DOI 10.1016/j.jfi.2018.06.004
   Anka A. M. L., 1992, Journal of Rural Development and Administration, V24, P137
   [Anonymous], 1982, Guide to Quality Control
   Ashraf A, 2014, HUMANOMICS, V30, P162, DOI 10.1108/H-11-2013-0073
   Bailey D, 2011, J STAT SOFTW, V42, P1
   Bezabih M, 2011, CLIM POLICY, V11, P1289, DOI 10.1080/14693062.2011.579300
   Bhat M. A., 2020, International Journal of Advanced Science and Technology, V29, P2609
   Bongini P, 2019, FINANC RES LETT, V30, P233, DOI 10.1016/j.frl.2018.10.003
   Clark E, 2011, J INT FIN MANAG ACC, V22, P27, DOI 10.1111/j.1467-646X.2010.01044.x
   Darwin R., 1995, World agriculture and climate change: Economic adaptations
   FEDER G, 1990, AM J AGR ECON, V72, P1151, DOI 10.2307/1242524
   Food and Agricultural Organization (FAO), 1978, REP AGR EC ZON PROJ
   Ghosh A, 2018, J FINANC REGUL COMPL, V26, P526, DOI 10.1108/JFRC-02-2018-0021
   Han YH, 2023, INT J CLIM CHANG STR, V15, P212, DOI 10.1108/IJCCSM-06-2022-0074
   Huang SJ, 2021, ENERG ECON, V101, DOI 10.1016/j.eneco.2021.105431
   Dang HD, 2020, AGRIC FINANCE REV, V80, P255, DOI 10.1108/AFR-06-2019-0061
   Kadanda D., 2018, Journal of Social and Economic Development, V20, P193, DOI [10.1007/s40847-018-0068-0, DOI 10.1007/S40847-018-0068-0]
   Kaiser H.M., 1993, Agricultural Dimensions of Global Climate Change
   Kirchmann H, 2000, EUR J AGRON, V12, P145, DOI 10.1016/S1161-0301(99)00053-2
   Klein B., 1999, Better practices in agricultural lending
   Kongkuah M, 2021, ENVIRON SCI POLLUT R, V28, P22488, DOI 10.1007/s11356-020-11982-8
   Kumar A, 2021, AGRIC FINANCE REV, V81, P250, DOI 10.1108/AFR-04-2020-0054
   Kumar P, 2021, ENVIRON SCI POLLUT R, V28, P51597, DOI 10.1007/s11356-021-14373-9
   Mendelsohn R, 2014, J INTEGR AGR, V13, P660, DOI 10.1016/S2095-3119(13)60701-7
   Morrissey O., 2009, Distortions to agricultural incentives in Africa, P307
   Muhammad M., 2011, DIALOGUE PAKISTAN, V6
   Nawaz, 2019, J MANAG SCI, V6, P48, DOI DOI 10.20547/JMS.2014.1906204
   Okorie A., 1992, AGR LOAN RECOVERY ST, P195
   Pakistan I. U. C. N., 2009, POLICY GAP ANAL
   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]
   Qureshi S. K., 1992, Pakistan Development Review, V31, P781
   Rahji MAY., 2009, INT RES J FINANCE EC, V24, P97
   Reed WR, 2011, APPL ECON, V43, P985, DOI 10.1080/00036840802600087
   Rosegrant MW, 2009, ANNU REV ENV RESOUR, V34, P205, DOI 10.1146/annurev.environ.030308.090351
   Savitha B, 2016, AGRIC FINANCE REV, V76, P362, DOI 10.1108/AFR-01-2016-0001
   SCHELLING TC, 1992, AM ECON REV, V82, P1
   Tuyen TQ, 2016, ENVIRON DEV SUSTAIN, V18, P1239, DOI 10.1007/s10668-015-9700-8
   UNFCCC, 2002, DELH MIN DECL CLIM C
   Wang H, 2020, J ECON BEHAV ORGAN, V177, P875, DOI 10.1016/j.jebo.2020.06.001
   Wood A., 2018, The Business Management Review, V9, P44
   Xu LF, 2022, LAND-BASEL, V11, DOI 10.3390/land11050652
   Yasir Mehmood Yasir Mehmood, 2012, World Applied Sciences Journal, V17, P447
   Yin Z., 2020, BULETIN EKONOMI MONE, V23, P129, DOI [10.21098/bemp.v23i0.1160, DOI 10.21098/BEMP.V23I0.1160]
   Zhou L, 2016, SMALL-SCALE FOR, V15, P291, DOI 10.1007/s11842-016-9323-4
NR 47
TC 5
Z9 6
U1 11
U2 20
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 AUG 1
PY 2023
DI 10.1007/s10668-023-03652-9
EA AUG 2023
PG 14
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA O0PT4
UT WOS:001040934300003
DA 2025-01-10
ER

PT J
AU Wendmu, TA
   Cuni-Sanchez, A
   Abebe, HT
   de Boer, HJ
   Abera, FA
   Westengen, OT
AF Wendmu, Tsedal Asres
   Cuni-Sanchez, Aida
   Abebe, Haftom Temesgen
   de Boer, Hugo J.
   Abera, Fetien Abay
   Westengen, Ola Tveitereid
TI Cultural Effects on Sorghum Varieties Grown, Traits Preferred, and Seed
   Management Practices in Northern Ethiopia
SO ECONOMIC BOTANY
LA English
DT Article
DE Agrobiodiversity; Culture; Ethnolinguistic groups; use trait; varietal
   preferences; Sorghum
ID FARMERS PERCEPTIONS; CROP DIVERSITY; SOUTH WELO; BICOLOR;
   AGROBIODIVERSITY; LANDRACES; CONSTRAINTS; PREFERENCES; SELECTION;
   EXCHANGE
AB Cultural Effects on Sorghum Varieties Grown, Traits Preferred, and Seed Management Practices in Northern Ethiopia. Agrobiodiversity is fundamentally shaped by farmers' preferences and management practices, and these are again shaped by the farmers' social and cultural background. This study investigates variety preferences and seed management practices in the crop sorghum (Sorghum bicolor) among the Kunama and the Tigrayan ethnolinguistic groups living side by side in Northern Ethiopia. Surveys were conducted in 10 villages located in two districts inhabited by the two ethnolinguistic groups and analyzed using descriptive and multinominal analysis. We find important differences in varieties grown across the ethnolinguistic groups, but we also find that ethnicity and geographic proximity interact and affect trait preference and seed management practices. Altogether, 22 varieties are cultivated, and few farmers cultivated improved varieties, especially among the Kunama. Respondents considered use traits as important as agronomic traits when selecting sorghum varieties. Notably, preferred use traits were not limited to food (e.g., construction materials were important for the Kunama), and preferred agronomic traits were not focused on drought resistance. Timing of seed selection, seed selection criteria (e.g., panicle size and color), and seed storage practices differed among the ethnic groups. Understanding cultural and social preferences towards sorghum varieties, their traits, and the criteria used for seed management is crucial for the success of crop breeding programs, climate change adaptation policies, and development interventions.
C1 [Wendmu, Tsedal Asres; Cuni-Sanchez, Aida; Westengen, Ola Tveitereid] Norwegian Univ Life Noragr, Dept Int Environm & Dev Studies, As, Norway.
   [Wendmu, Tsedal Asres] Mekelle Univ, Inst Paleoenvironm & Heritage Conservat, Dept Anthropol, Mekelle, Ethiopia.
   [Abebe, Haftom Temesgen] Mekelle Univ, Dept Biostat, Coll Hlth Sci, Mekelle, Ethiopia.
   [de Boer, Hugo J.] Univ Oslo, Nat Hist Museum, Oslo, Norway.
   [Abera, Fetien Abay] Mekelle Univ, Dept Dryland Crop & Hort Sci, Coll Dryland Agr & Nat Sci, Mekelle, Ethiopia.
C3 Mekelle University; Mekelle University; University of Oslo; Mekelle
   University
RP Wendmu, TA (corresponding author), Norwegian Univ Life Noragr, Dept Int Environm & Dev Studies, As, Norway.; Wendmu, TA (corresponding author), Mekelle Univ, Inst Paleoenvironm & Heritage Conservat, Dept Anthropol, Mekelle, Ethiopia.
EM tsedal.asres.wendmu@nmbu.no
RI de Boer, Hugo/AAS-7585-2020; de Boer, Hugo/B-5640-2015
OI de Boer, Hugo/0000-0003-1985-7859; Wendmu, Tsedal/0000-0003-1178-1087;
   Abebe, Haftom/0000-0001-6769-210X
FU Norwegian Embassy in Addis Ababa; Research Council of Norway through the
   research project ACCESS [RCN-288493]
FX We would like to express our gratitude to the participants in this study
   for their hospitality and willingness to be interviewed. Currently,
   because of the civil war that broke out in Tigray in November 2020,
   these communities are going through a difficult situation, and many are
   displaced. Our thoughts and hearts are with them. We are also grateful
   to our field assistants: Mr. Beshir, Mr. Bereket, Mr. Berihu, Mr.
   Berhanu, Mr. Belihu, Mr. Solomon, and Mr. Bereket. This research was
   funded by the Norwegian Embassy in Addis Ababa through the institutional
   collaboration (phase IV) between Mekelle University and the Norwegian
   University of Life Sciences. Parts of the research was also supported by
   the Research Council of Norway through the research project ACCESS
   (RCN-288493). We thank Ana Catarina Mendes Leite for her help with
   making Fig. 1.
CR Abdi A, 2002, HEREDITAS, V137, P161, DOI 10.1034/j.1601-5223.2002.01604.x
   Abebe L., 2021, GENDER DISPARITIES S
   Andiku C, 2021, ACTA AGR SCAND B-S P, V71, P620, DOI 10.1080/09064710.2021.1944297
   [Anonymous], 2006, International Society of Ethnobiology Code of Ethics ."
   Belay BF, 2021, COGENT FOOD AGR, V7, DOI 10.1080/23311932.2021.1871809
   Bellon MR, 1996, ECON BOT, V50, P26, DOI 10.1007/BF02862110
   Berg T, 2009, EUPHYTICA, V166, P423, DOI 10.1007/s10681-008-9829-8
   Buah S. S. J., 2010, West African Journal of Applied Ecology, V17, P11
   Cavatassi R, 2011, AGR ECON-BLACKWELL, V42, P279, DOI 10.1111/j.1574-0862.2010.00514.x
   Cristancho Sergio., 2004, HUM ECOL REV, V11, P153
   Deu M, 2008, THEOR APPL GENET, V116, P903, DOI 10.1007/s00122-008-0721-7
   Doggett H., 1991, Plant genetic resources of Ethiopia., P140, DOI 10.1017/CBO9780511551543.011
   Dossou-Aminon I., 2014, International Journal of Current Microbiology and Applied Sciences, V3, P531
   Emperaire L, 2007, HUM ECOL, V35, P761, DOI 10.1007/s10745-007-9121-x
   FAOSTAT, 2020, FOOD AGR ORG UN
   Federal Democratic Republic of Ethiopia Population Census Commission, 2008, SUMM STAT REP 2007 P
   Garibaldi A., 2004, Ecology and Society, V9, P1
   Gebregergs G, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1764181
   International Federation of Red Cross and Red Crescent Societies (IFRC), 2020, INF B AFR TIGR POP M
   Joshi G, 2006, J AGR RURAL DEV TROP, V107, P129
   Khoury CK, 2022, NEW PHYTOL, V233, P84, DOI 10.1111/nph.17733
   Kidane A., 2004, SURVEY STRIGA CROP H, P33
   Labeyrie V., 2019, Methods and Interdisciplinarity, V1, P69, DOI [10.1002/9781119681519.ch4, DOI 10.1002/9781119681519.CH4]
   Labeyrie V, 2021, CURR OPIN ENV SUST, V51, P15, DOI 10.1016/j.cosust.2021.01.006
   Labeyrie V, 2014, AGR HUM VALUES, V31, P97, DOI 10.1007/s10460-013-9451-9
   McGuire SJ, 2008, AGR SYST, V96, P139, DOI 10.1016/j.agsy.2007.07.003
   Mekbib F., 2009, International Journal of Biodiversity and Conservation, V1, P45
   Mendesil E, 2007, CROP PROT, V26, P1817, DOI 10.1016/j.cropro.2007.03.018
   Mengistu G, 2019, ACTA AGR SCAND B-S P, V69, P241, DOI 10.1080/09064710.2018.1541190
   Mofokeng M. A., 2016, Journal of Tropical Agriculture, V54, P7
   Mola T., 2021, Int. J. Recent Res. Interdiscip. Sci, V8, P1
   Muui C. W., 2013, African Journal of Food, Agriculture, Nutrition and Development, V13, P7339
   National Metrological Agency (NMA), 2015, NAT AD PROG ACT ETH
   Nuijten E, 2008, ECON BOT, V62, P148, DOI 10.1007/s12231-008-9012-0
   Pautasso M, 2015, AGRON SUSTAIN DEV, V35, P145, DOI 10.1007/s13593-014-0222-9
   Pautasso M, 2013, AGRON SUSTAIN DEV, V33, P151, DOI 10.1007/s13593-012-0089-6
   Perales H. R., 2005, Proceedings of the National Academy of Sciences of the United States of America, V102, P949, DOI 10.1073/pnas.0408701102
   Ruggieri F, 2021, J ETHNOBIOL, V41, P389, DOI 10.2993/0278-0771-41.3.389
   Sangare S., 2020, Journal of Genetics, Genomics and Plant Breeding, V4, P37
   Souther S, 2021, FOREST ECOL MANAG, V483, DOI 10.1016/j.foreco.2020.118900
   STEMLER ABL, 1977, ECON BOT, V31, P446, DOI 10.1007/BF02912558
   Tamiru C., 2021, FARM DIVERSITY CONSE
   Teeken B, 2021, AGROECOL SUST FOOD, V45, P1109, DOI 10.1080/21683565.2021.1878405
   Tesfay T., 2016, J BIOL AGR HEALTHCAR, V6, P34
   Teshome A, 1999, ECON BOT, V53, P79, DOI 10.1007/BF02860796
   Teshome A, 1997, EUPHYTICA, V97, P255, DOI 10.1023/A:1003074008785
   Teshome A., 2016, International Journal of Biodiversity and Conservation, V8, P278
   Teshome A, 1999, ECON BOT, V53, P69, DOI 10.1007/BF02860794
   Timu A.G., 2014, AGR FOOD SECURITY, V3, P1, DOI DOI 10.1186/2048-7010-3-9
   Tsehaye Y, 2009, MOMONA ETHIOP J SCI, V1, P67, DOI 10.4314/mejs.v1i2.46049
   Woldegiorgis AT., 2018, INT J SCI RES, V8, P1048
   Woldemikael TekleM., 2003, African Studies Review, V46, P117, DOI DOI 10.2307/1514983
   Wondimu Z, 2021, G3-GENES GENOM GENET, V11, DOI 10.1093/g3journal/jkab087
   Wubeneh NG, 2006, AGR SYST, V91, P122, DOI 10.1016/j.agsy.2006.02.002
   Zapico F, 2020, ASIAN J AGRIC DEV, V17, P93, DOI 10.37801/ajad2020.17.2.6
   Zenebe G., 2012, Ethnobotany Research and Applications, V10, P305
NR 56
TC 2
Z9 2
U1 0
U2 1
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0013-0001
EI 1874-9364
J9 ECON BOT
JI Econ. Bot.
PD SEP
PY 2022
VL 76
IS 3
BP 233
EP 249
DI 10.1007/s12231-022-09555-6
EA SEP 2022
PG 17
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 5E6VZ
UT WOS:000852811200001
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Hess, JS
AF Hess, Janto S.
TI Private sector climate change adaptation of accommodation suppliers in
   the small island of Koh Tao, Thailand
SO ASIAN GEOGRAPHER
LA English
DT Article
DE Tourism; climate change; islands; adaptation; Koh Tao
ID DISASTER RISK REDUCTION; TOURISM INDUSTRY; PERCEPTIONS; FINANCE;
   GOVERNANCE; GULF
AB Small islands are often portrait as being among the most vulnerable tourism destinations to climate change, particularly to impacts from sea level rise. This raises the question of how, if at all, locally bound tourism stakeholders, such as accommodation suppliers, consider climate change risks and if they already invest in adaptation measures. The nature of the concepts of adaptation and adaptation finance, with a lack of universally accepted metrics for its monitoring, allow a theoretical inquiry if mobilized finance can be labeled being climate finance. Against this background, this study investigates to what extent accommodation owner-managers do recognize climate change in their strategic investment decisions. A survey with 112 respondents and in-depth interviews with 16 interviewees were conducted on Koh Tao, Thailand. The findings reveal that most businesses (private sector) already invest in adaptation, whereas it appears to be a rather reactive (unconscious) form of adaptation. This shows that the private sector has an interest in addressing business risks, including climate change. The accommodation suppliers themself, however, likely do not bother how actions that reduce their business risks in regard to natural hazards are being labeled. The findings also show that adaptation behavior of accommodation suppliers appears to be influenced by power dynamics on Koh Tao. There is a concentration of power among a few families. This can hinder a sustainable and climate risk-informed development pathway and investment decisions of individual accommodation businesses.
C1 [Hess, Janto S.] Univ Coll London UCL, Inst Risk & Disaster Reduct IRDR, London, England.
C3 University of London; University College London
RP Hess, JS (corresponding author), Gower St, London WC1E 6BT, England.
EM janto84@icloud.com
OI Hess, Janto S./0000-0002-9823-9890
FU IRDR at UCL
FX The study was developed as part of my PhD research for which I received
   a partial scholarship from my institute, IRDR at UCL.
CR [Anonymous], 2008, Climate Change and Tourism, DOI DOI 10.18111/9789284412341
   [Anonymous], 2010, J E CARIBBEAN STUDIE
   [Anonymous], 2016, Global climate risk index 2017 who suffers most from Extreme Weather events? Weather-related loss events in 2015 and 1996 to 2015
   Becken S., 2007, Journal of Sustainable Tourism, V15, P351, DOI 10.2167/jost710.0
   Becken S, 2007, CLIM CHANG ECON SOC, P1
   Bisaro A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.514
   Bishop ML, 2010, PROG DEV STUD, V10, P99, DOI 10.1177/146499340901000201
   Bryman A., 2012, Social Research Methods
   Chan C., 2018, DEPLOYING ADAPTATION
   Chavanich Suchana, 2012, Phuket Marine Biological Center Research Bulletin, V71, P103
   Chiappa G. del, 2018, Journal of Tourism, Heritage & Services Marketing, V4, P3
   Connell J, 2018, ENVIRON CONSERV, V45, P111, DOI 10.1017/S0376892918000036
   Connell J, 2013, ISLANDS AT RISK?: ENVIRONMENTS, ECONOMIES AND CONTEMPORARY CHANGE, P230
   David M., 2004, SOCIAL RES BASICS
   Department of Provincial Administration, 2008, POP DISTR
   do Nascimento DV, 2016, WORLDW HOSP TOUR THE, V8, P593, DOI 10.1108/WHATT-06-2016-0036
   Dodds R, 2009, TOUR PLAN DEV, V6, P39, DOI 10.1080/14790530902847046
   Gössling S, 2012, ANN TOURISM RES, V39, P36, DOI 10.1016/j.annals.2011.11.002
   Han JH, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070644
   Hess J.S., 2015, CAN TOURISM IND CONT
   Hess J.S., 2021, ASEAN J HOSPITALITY, V19, P1, DOI [10.5614/ajht.2021.19.1.01, DOI 10.5614/AJHT.2021.19.1.01]
   Hess JS, 2019, DE GRU STUD TOURISM, V1, P111, DOI 10.1515/9783110607369-008
   Hess JantoS., 2017, Climate, Disaster and Development Journal, V2, P34, DOI [DOI 10.18783/CDDJ.V002.I02.A04, 10.18783/cddj.v002.i02.a04]
   Hindley A, 2017, CURR ISSUES TOUR, V20, P1684, DOI 10.1080/13683500.2014.946477
   Hoeksema BW, 2013, CORAL REEFS, V32, P423, DOI 10.1007/s00338-012-1005-x
   Huttunen T., 2000, TOURIST BEHAV RELATI
   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
   Johnson Cassidy., 2018, DPUNEWS
   Jones B, 2006, J PARK RECREAT ADM, V24, P42
   Jones Lindsey., 2012, CODING TRACKING ADAP
   Kaján E, 2013, CURR ISSUES TOUR, V16, P167, DOI 10.1080/13683500.2013.774323
   Kaufmann U, 2015, CONTEMP GEOGR LEIS T, V48, P196
   Kelman I, 2020, AREA, V52, P6, DOI 10.1111/area.12457
   Krutwaysho O, 2010, ANN TOURISM RES, V37, P670, DOI 10.1016/j.annals.2009.12.004
   Larpnun R., 2011, Catchment Management and Coral Reef Conservation: A Practical Guide for Coastal Resource Managers to Reduce Damage from Catchment Areas Based on Best Practice Case Studies, P88
   Lo AY, 2020, ANN AM ASSOC GEOGR, V110, P223, DOI 10.1080/24694452.2019.1625748
   Méheux K, 2006, TOURISM MANAGE, V27, P69, DOI 10.1016/j.tourman.2004.07.009
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Morrison C, 2013, J SUSTAIN TOUR, V21, P173, DOI 10.1080/09669582.2012.681789
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Parsons M, 2018, CLIM DEV, V10, P644, DOI 10.1080/17565529.2017.1410082
   Partelow S, 2020, MAR POLICY, V112, DOI 10.1016/j.marpol.2018.08.004
   Patterson T., 2006, Journal of Sustainable Tourism, V14, P339, DOI 10.2167/jost605.0
   Pauw WP, 2016, CLIMATIC CHANGE, V134, P489, DOI 10.1007/s10584-015-1539-3
   Pauw WP, 2015, CLIM POLICY, V15, P583, DOI 10.1080/14693062.2014.953906
   Pauw WP, 2017, INT ENVIRON AGREEM-P, V17, P55, DOI 10.1007/s10784-016-9342-9
   Pelling M., 2001, Environmental Hazards, V3, P49
   Persson Å, 2009, ROUTL ADV INT RELAT, P162
   Rive Nathan., 2017, CLIMATE FINANCE DEV
   Satumanatpan S, 2017, OCEAN COAST MANAGE, V148, P143, DOI 10.1016/j.ocecoaman.2017.08.001
   Schipper ELF, 2016, INT J DISASTER RESIL, V7, P216, DOI 10.1108/IJDRBE-03-2015-0014
   Scott CM, 2017, RAFFLES B ZOOL, V65, P68
   Scott Daniel., 2012, CONT GEOGRAPHIES LEI
   Shakeela A., 2011, Journal of Human Resources in Hospitality & Tourism, V10, P331, DOI 10.1080/15332845.2011.588493
   Shakeela A, 2015, J SUSTAIN TOUR, V23, P65, DOI 10.1080/09669582.2014.918135
   Southeast Asia START Regional Center, 2009, POP TOU STAT K UNPUB
   Spencer A., 2018, TRAVEL TOURISM CARIB
   Stakhiv EZ, 1996, ADAPTING TO CLIMATE CHANGE: AN INTERNATIONAL PERSPECTIVE, P243
   Szuster B. W., 2014, Environment Asia, V7, P124
   Tapsuwan S, 2015, J OUTDOOR REC TOUR, V11, P58, DOI 10.1016/j.jort.2015.06.005
   TISTR, 1995, STUD GUID EST TOUR D
   UNEP, 2018, ADAPTATION METRICS P
   United Nations, 2015, Paris Agreement
   Weterings R., 2011, Kasetsart Journal, Natural Sciences, V45, P743
   Wilkinson P. F., 1987, Leisure Studies, V6, P127, DOI 10.1080/02614368700390111
   Wong PP, 2011, WIRES CLIM CHANGE, V2, P1, DOI 10.1002/wcc.84
   Wongthong P, 2014, OCEAN COAST MANAGE, V95, P138, DOI 10.1016/j.ocecoaman.2014.04.004
   Wongthong Panwad., 2013, THESIS U ADELAIDE AD
   World Travel and Tourism Council, 2016, TRAV TOUR EC IMP 201
   Wyss R, 2014, TOUR MANAG PERSPECT, V11, P69, DOI 10.1016/j.tmp.2014.04.004
NR 70
TC 1
Z9 2
U1 0
U2 7
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1022-5706
EI 2158-1762
J9 ASIAN GEOGR
JI Asian Geogr.
PD JAN 2
PY 2023
VL 40
IS 1
BP 81
EP 98
DI 10.1080/10225706.2021.1981956
EA OCT 2021
PG 18
WC Geography
WE Emerging Sources Citation Index (ESCI)
SC Geography
GA 8C7JZ
UT WOS:000703428800001
DA 2025-01-10
ER

PT J
AU Kazak, JK
   Swiader, M
AF Kazak, Jan K.
   Swiader, Malgorzata
TI SOLIS-A Novel Decision Support Tool for the Assessment of Solar
   Radiation in ArcGIS
SO ENERGIES
LA English
DT Article
DE decision support system; ArcGIS; solar radiation; sustainable
   development; photovoltaics; renewable energy; simulation
ID RENEWABLE ENERGY; GIS APPLICATION; CLIMATE-CHANGE; SYSTEM; SIMULATION;
   EFFICIENCY; DESIGN; POLICY; AREAS; MODEL
AB The global Sustainable Development Goals influence the implementation of energy development strategies worldwide. However, in order to support local stakeholders in sustainable energy development strategies and climate change adaptation plans and the implementation of policies, there is a need to equip local decision makers with tools enabling the assessment of sustainable energy investments. In order to do so, the aim of this study is to create a novel tool for the assessment of solar radiation (SOLIS) in ArcGIS. The SOLIS tool builds on the existing ArcGIS algorithm by including input data conversion and post-processing of the results. This should expand the group of potential users of solar radiation analyses. The self-filtering tool excludes surfaces that are not suitable for solar energy investments due to geometrical reasons. The reduction of the size of the output data is positive for technical reasons (speed of the calculation and occupied storage place) and for cognitive reasons (reduction of the number of objects necessary to analyse by the user). The SOLIS tool limits the requirement for users to insert three-dimensional (3D) models of roofs (with any geometry) and select solar radiation calculation periods. The highlight of this research is to develop the decision support tool for the assessment of solar radiation, which would reduce the requirements for potential users, in order to promote indicator-based assessments among non-Geographical Information Systems (GIS) specialists.
C1 [Kazak, Jan K.; Swiader, Malgorzata] Wroclaw Univ Environm & Life Sci, Fac Environm Engn & Geodesy, Dept Spatial Econ, PL-50357 Wroclaw, Poland.
C3 Wroclaw University of Environmental & Life Sciences
RP Kazak, JK (corresponding author), Wroclaw Univ Environm & Life Sci, Fac Environm Engn & Geodesy, Dept Spatial Econ, PL-50357 Wroclaw, Poland.
EM jan.kazak@upwr.edu.pl; malgorzata.swiader@upwr.edu.pl
RI Kazak, Jan/S-7783-2016; Swiader, Malgorzata/A-3891-2017
OI Kazak, Jan/0000-0002-1864-9954; Swiader, Malgorzata/0000-0003-3398-4985
FU Department of Spatial Economy of the Wroclaw University of Environmental
   and Life Sciences
FX This research was supported by the Department of Spatial Economy of the
   Wroclaw University of Environmental and Life Sciences.
CR [Anonymous], 2013, Australian Energy Resource Assessment, P261
   [Anonymous], ENG RURAL DEV
   Asaleye DA, 2017, ENERGIES, V10, DOI 10.3390/en10111765
   Ashkezari AD, 2018, SUSTAIN ENERGY GRIDS, V14, P25, DOI 10.1016/j.segan.2018.02.001
   Bazan-Krzywoszanska A, 2016, ENERG BUILDINGS, V118, P170, DOI 10.1016/j.enbuild.2016.02.048
   Boerenfijn P, 2018, ENERG BUILDINGS, V158, P1762, DOI 10.1016/j.enbuild.2017.10.101
   Bousquet C, 2017, RENEW ENERG, V113, P64, DOI 10.1016/j.renene.2017.05.062
   Cioban A., 2013, Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture, V70, P437
   Cristea C, 2016, ENRGY PROCED, V85, P132, DOI 10.1016/j.egypro.2015.12.283
   Dabrowska J, 2017, ACTA SCI POL-FORM C, V16, P111, DOI 10.15576/ASP.FC/2017.16.3.111
   Damso T, 2016, ENERG POLICY, V89, P74, DOI 10.1016/j.enpol.2015.11.013
   Rocha APD, 2016, ENERG BUILDINGS, V133, P295, DOI 10.1016/j.enbuild.2016.09.058
   De Longueville B, 2010, COMPUT ENVIRON URBAN, V34, P299, DOI 10.1016/j.compenvurbsys.2010.04.004
   Eicker U, 2018, ENERG BUILDINGS, V163, P79, DOI 10.1016/j.enbuild.2017.12.019
   Geneletti D, 2016, LAND USE POLICY, V50, P38, DOI 10.1016/j.landusepol.2015.09.003
   Gobakis K, 2017, ENRGY PROCED, V134, P48, DOI 10.1016/j.egypro.2017.09.598
   HAY JE, 1979, CAN GEOGR-GEOGR CAN, V23, P222, DOI 10.1111/j.1541-0064.1979.tb00659.x
   HAY JE, 1985, SOL ENERGY, V34, P151, DOI 10.1016/0038-092X(85)90172-0
   Hernik J, 2016, ENG RUR DEVELOP, P498
   Hettinga S, 2018, ENERG POLICY, V116, P277, DOI 10.1016/j.enpol.2018.02.015
   Hirzel S, 2018, ENERGIES, V11, DOI 10.3390/en11061357
   Kalbarczyk R, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9060215
   Kazak J, 2018, LECT NOTES GEOINF CA, P195, DOI 10.1007/978-3-319-61297-3_14
   Kazak J, 2017, RENEW SUST ENERG REV, V76, P425, DOI 10.1016/j.rser.2017.03.039
   Kazak JK, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041083
   Kielkowska J, 2018, J ECOL ENG, V19, P50, DOI 10.12911/22998993/81658
   Lance KT, 2011, COMPUT ENVIRON URBAN, V35, P150, DOI 10.1016/j.compenvurbsys.2010.09.002
   Maguire D. J., 2005, Computers, Environment and Urban Systems, V29, P3, DOI 10.1016/j.compenvurbsys.2004.05.012
   Maqbool R, 2018, ENERGY, V158, P944, DOI 10.1016/j.energy.2018.06.015
   Marzo A, 2017, RENEW ENERG, V113, P303, DOI 10.1016/j.renene.2017.01.061
   McCord P, 2018, APPL GEOGR, V96, P16, DOI 10.1016/j.apgeog.2018.05.001
   Mekonnen AD, 2015, RENEW SUST ENERG REV, V41, P162, DOI 10.1016/j.rser.2014.08.030
   Mirjat NH, 2018, ENERGIES, V11, DOI 10.3390/en11040757
   Moiz A, 2018, APPL ENERG, V224, P309, DOI 10.1016/j.apenergy.2018.04.070
   Mrowczynska M, 2018, TEH VJESN, V25, P916, DOI 10.17559/TV-20161212120336
   Nakata-Osaki CM, 2018, COMPUT ENVIRON URBAN, V67, P157, DOI 10.1016/j.compenvurbsys.2017.09.007
   Nyerges T, 2016, SUSTAIN CITIES SOC, V25, P13, DOI 10.1016/j.scs.2016.04.016
   Ohunakin OS, 2015, SOL ENERGY, V116, P272, DOI 10.1016/j.solener.2015.03.027
   Oprea SV, 2017, ENERGIES, V10, DOI 10.3390/en10122101
   Patlakas P, 2017, ENERGIES, V10, DOI 10.3390/en10101459
   Pluciennik M, 2017, IOP CONF SER-MAT SCI, V245, DOI 10.1088/1757-899X/245/7/072016
   Ranalli J., 2018, Electr. J, V31, P8, DOI [10.1016/j.tej.2018.01.002, DOI 10.1016/J.TEJ.2018.01.002]
   Repetto MP, 2018, ADV ENG SOFTW, V117, P29, DOI 10.1016/j.advengsoft.2017.03.002
   Russo P, 2018, COMPUT ENVIRON URBAN, V67, P9, DOI 10.1016/j.compenvurbsys.2017.08.009
   Samela C, 2018, COMPUT ENVIRON URBAN, V70, P43, DOI 10.1016/j.compenvurbsys.2018.01.013
   Skiba M, 2017, APPL ENERG, V188, P356, DOI 10.1016/j.apenergy.2016.12.006
   Sowmy DS, 2017, RENEW ENERG, V108, P644, DOI 10.1016/j.renene.2016.08.054
   Swiader M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030882
   Szewranski S, 2018, INTEGR ENVIRON ASSES, V14, P592, DOI 10.1002/ieam.4077
   Szewranski S, 2018, WATER-SUI, V10, DOI 10.3390/w10060746
   Szewranski S, 2018, WATER-SUI, V10, DOI 10.3390/w10040386
   Tong Wang, 2018, Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support. 4th International Conference, ICDSST 2018 Proceedings. Lecture Notes in Business Information Processing (LNBIP 313), P3, DOI 10.1007/978-3-319-90315-6_1
   van Hoof J, 2018, BUILDINGS-BASEL, V8, DOI 10.3390/buildings8070089
   Wang T, 2017, APPL GEOGR, V88, P73, DOI 10.1016/j.apgeog.2017.08.014
   Woch F, 2017, POL J ENVIRON STUD, V26, P2823, DOI 10.15244/pjoes/74129
   Zhang R, 2018, ENERGY, V144, P1064, DOI 10.1016/j.energy.2017.12.095
NR 56
TC 15
Z9 15
U1 0
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1996-1073
J9 ENERGIES
JI Energies
PD AUG
PY 2018
VL 11
IS 8
AR 2105
DI 10.3390/en11082105
PG 12
WC Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Energy & Fuels
GA GW1BJ
UT WOS:000446604100184
OA Green Published
DA 2025-01-10
ER

PT J
AU Drolet, JL
   Sampson, T
AF Drolet, Julie Lynne
   Sampson, Tiffany
TI Addressing climate change from a social development approach: Small
   cities and rural communities' adaptation and response to climate change
   in British Columbia, Canada
SO INTERNATIONAL SOCIAL WORK
LA English
DT Article
DE Adaptation; climate change; community development; social development;
   sustainable development
ID WORK
AB Climate change is having a very real impact, affecting not only ecosystems but also the socio-economic systems of small cities and rural communities. Globally, climate change is a consequential concern, since it is contributing to an increase in global temperatures, changing precipitation patterns, raising sea levels, and natural hazards. Locally, the effects of climate change vary, depending upon the region, with communities experiencing the impacts of climate change differently and at various degrees. This article presents research findings from a study on climate change, disasters, and sustainable development that provide insight into the diverse perspectives of community members on climate change in six communities in the Interior and Northern regions of British Columbia, Western Canada. A common denominator between these six communities is how social development is being applied to address climate change. The concept of social development encompasses social and economic well-being. The social development approach involves processes, activities, and institutions working together to develop the social and economic capacities of individuals and communities. In particular, for social workers working with individuals, families, and communities impacted by climate change, the social development approach is effective in addressing social and economic needs. This article will examine the differing perspectives and attitudes of affected community members and the role of social development with respect to climate change adaptation and response. It will also provide suggestions on how social workers can support and apply the social development approach in communities experiencing the impacts of climate change.
C1 [Drolet, Julie Lynne] Univ Calgary, Fac Social Work, Calgary, AB, Canada.
C3 University of Calgary
RP Drolet, JL (corresponding author), Univ Calgary, 444,11044-82 Ave, Edmonton, AB T6G 0T2, Canada.
EM jdrolet@ucalgary.ca
RI Drolet, Julie/AGE-0115-2022
OI Drolet, Julie/0000-0002-1520-3439
FU Social Science and Humanities Research Council (SSHRC) of Canada;
   Canadian Foundation for Innovation
FX This research received funding from the Social Science and Humanities
   Research Council (SSHRC) of Canada, and the Canadian Foundation for
   Innovation.
CR [Anonymous], 1992, UNFCCC/INFORMAL/84 GE.05-62220 (E) 200705
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 1987, OUR COMMON FUTURE
   [Anonymous], 2009, EARTHSCAN READER ADA
   [Anonymous], SOC DIM CLIM CHANG
   [Anonymous], 1992, AG 21
   [Anonymous], J SOCIAL WELFARE
   BC Ministry of Forests Land and Natural Resource Operations, 2013, MOUNTAIN PINE BEETLE
   Berger R. M., 1995, SOC WORK, V38, P521
   Besthorn F.H, 1997, CURRENTS, V1
   Besthorn FH, 2002, FAM SOC-J CONTEMP H, V83, P221, DOI 10.1606/1044-3894.20
   Cox D., 2006, INT SOCIAL WORK ISSU
   Dominelli L, 2011, INT J SOC WELF, V20, P430, DOI 10.1111/j.1468-2397.2011.00795.x
   Dominelli L, 2010, INT SOC WORK, V53, P599, DOI 10.1177/0020872810371201
   Elkington J., 1998, CANNIBALS FORKS
   Elliott D., 1993, International Social Work, V36, P21
   Elliott D., 2012, HDB INT SOCIAL WORK, P102
   Erickson C. L., 2012, HDB INT SOCIAL WORK, P184
   GERMAIN CB, 1978, SOC SERV REV, V52, P535, DOI 10.1086/643676
   Gray M., 1996, J SOCIAL DEV AFRICA, V11, P33
   Gray M, 2006, INT J SOC WELF, V15, pS53, DOI 10.1111/j.1468-2397.2006.00445.x
   Gray M, 2012, INT J SOC WELF, V21, P239, DOI 10.1111/j.1468-2397.2011.00852.x
   Healy L.M., 2008, International social work: Professional action in an independent world
   Honadle G., 1999, How context matters: Linking environmental policy to people and place
   International Institute for Sustainable Development (IISD), 1999, EMP COMM SUST LIV
   Kemp S.P., 1997, PERSON ENV PRACTICE
   Midgley J., 1994, SOCIAL DEV ISSUES, V16, P3
   Midgley J., 1995, Social development: The developmental perspective in social welfare
   Miller SE, 2012, INT J SOC WELF, V21, P270, DOI 10.1111/j.1468-2397.2011.00848.x
   Moth R., 2009, SOCIAL WORK CLIMATE
   Omer S., 1979, INT SOC WORK, V3, P11
   PAIVA JFX, 1977, SOC SERV REV, V51, P327, DOI 10.1086/643500
   Peeters J, 2012, INT J SOC WELF, V21, P287, DOI 10.1111/j.1468-2397.2011.00856.x
   Rogers P.P., 2006, An introduction to sustainable development
   Tripodi T., 2007, International social work research: Issues and prospects
   United Nations, 2005, SOC SUMM 10 YEARS LA
   United Nations Economic and Social Council Commission on Social Development (UNECOSOC), 2013, EM ISS SOC DIM GLOB
NR 37
TC 24
Z9 25
U1 4
U2 42
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0020-8728
EI 1461-7234
J9 INT SOC WORK
JI Int. Soc. Work
PD JAN
PY 2017
VL 60
IS 1
BP 61
EP 73
DI 10.1177/0020872814539984
PG 13
WC Social Work
WE Social Science Citation Index (SSCI)
SC Social Work
GA EH4WK
UT WOS:000391771500006
OA Bronze
DA 2025-01-10
ER

PT J
AU Sheehan, T
   Let, DB
   Ferschweiler, K
AF Sheehan, T.
   Let, D. Bache
   Ferschweiler, K.
TI Projected major fire and vegetation changes in the Pacific Northwest of
   the conterminous United States under selected CMIP5 climate futures
SO ECOLOGICAL MODELLING
LA English
DT Article
DE Climate; Vegetation; Modeling; MC2; Fire; Pacific Northwest; United
   States; CMIP5
ID CHANGE SCENARIOS; PATTERNS; FORESTS; CARBON; MODEL; WATER;
   VULNERABILITY; PRODUCTIVITY; ECOSYSTEMS; DRIVERS
AB Climate change adaptation and mitigation require understanding of vegetation response to climate change. Using the MC2 dynamic global vegetation model (DGVM) we simulate vegetation for the Northwest United States using results from 20 different Climate Model Intercomparison Project Phase 5 (CMIP5) models downscaled using the MACA algorithm. Results were generated for representative concentration pathways (RCPs) 4.5 and 8.5 under vegetation modeling scenarios with and without fire suppression for a total of 80 model runs for future projections. For analysis, results were aggregated by three subregions: the Western Northwest (WNW), from the crest of the Cascade Mountains west; Northwest Plains and Plateau (NWPP), the non-mountainous areas east of the Cascade Mountains; and Eastern Northwest Mountains (ENWM), the mountainous areas east of the Cascade Mountains. In the WNW, mean fire interval (MFI) averaged over all climate projections decreases by up to 48%, and potential vegetation shifts from conifer to mixed forest under RCP 4.5 and 8.5 with and without fire suppression. In the NWPP MFI averaged over all climate projections decreases by up to 82% without fire suppression and increases by up to 14% with fire suppression resulting in woodier vegetation cover. In the ENWM, MFI averaged across all climate projections decreases by up to 81%, subalpine communities are lost, but conifer forests continue to dominate the subregion in the future. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Sheehan, T.; Let, D. Bache; Ferschweiler, K.] Conservat Biol Inst, Corvallis, OR 97333 USA.
RP Sheehan, T (corresponding author), Conservat Biol Inst, 136 SW Washington Ave,Ste 202, Corvallis, OR 97333 USA.
EM tim@consbio.org
FU U.S. Department of the Interior via the Northwest Climate Science Center
   [G12AC20495]; U.S. Department of Energy
FX Funding for this research was provided by the U.S. Department of the
   Interior via the Northwest Climate Science Center through agreement
   #G12AC20495 within the framework of the research project entitled
   "Integrated Scenarios of climate, hydrology and vegetation for the
   Northwest", P. Mote (Oregon State University) principal investigator.We
   acknowledge the World Climate Research Programme's Working Group on
   Coupled Modelling, which is responsible for CMIP, and we thank the
   climate modeling groups (listed in Table 1 of this paper) for producing
   and making available their model output. For CMIP, the U.S. Department
   of Energy's Program for Climate Model Diagnosis and Intercomparison
   provides coordinating support and led development of software
   infrastructure in partnership with the Global Organization for Earth
   System Science Portals.
CR Abatzoglou JT, 2012, INT J CLIMATOL, V32, P772, DOI 10.1002/joc.2312
   AGEE JK, 1991, US FOR SERV T R PNW, V285, P25
   Bachelet D, 2001, ECOSYSTEMS, V4, P164, DOI 10.1007/s10021-001-0002-7
   Bachelet D., 2015, GLOBAL CHAN IN PRESS
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Canadian Forestry Service, 1984, 25 ENV CAN CAN FOR S, P48
   Cayan DR, 2001, B AM METEOROL SOC, V82, P399, DOI 10.1175/1520-0477(2001)082<0399:CITOOS>2.3.CO;2
   Chmura DJ, 2011, FOREST ECOL MANAG, V261, P1121, DOI 10.1016/j.foreco.2010.12.040
   Cohen J.D., 1985, PSW82 PAC SW FOR RAN, P17
   Conklin D.R., 2015, PNWGTR904 USDA FOR S
   Coops NC, 2011, APPL VEG SCI, V14, P402, DOI 10.1111/j.1654-109X.2011.01125.x
   Coops NC, 2011, ECOL MODEL, V222, P2119, DOI 10.1016/j.ecolmodel.2011.03.033
   Creutzburg M.K., 2014, ENVIRON MANAGE, V55, P43
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   Dombeck M., 2001, Fire Management Today, V61, P5
   Drapek RJ, 2015, GEOPHYS MONOGR SER, V213, P73
   Gonzalez P, 2010, GLOBAL ECOL BIOGEOGR, V19, P755, DOI 10.1111/j.1466-8238.2010.00558.x
   Halofsky JS, 2014, ECOL APPL, V24, P1908, DOI 10.1890/13-1653.1
   Camarero JJ, 2015, GLOBAL CHANGE BIOL, V21, P738, DOI 10.1111/gcb.12787
   Keetch J.J. J. J., 1968, Ashe, V35, DOI [DOI 10.1016/J.ACCPM.2015.04.007, 10.1016/j.accpm.2015.04.007]
   Kellndorfer J., 2012, NACP Aboveground Biomass and Carbon Baseline Data (NBCD 2000), U.S.A.
   KERN JS, 1995, SOIL SCI SOC AM J, V59, P1126, DOI 10.2136/sssaj1995.03615995005900040026x
   Kern JS, 2000, SOIL SCI SOC AM J, V64, P382, DOI 10.2136/sssaj2000.641382x
   KERN JS, 1994, SOIL SCI SOC AM J, V58, P439, DOI 10.2136/sssaj1994.03615995005800020029x
   King DA, 2013, ECOL EVOL, V3, P5076, DOI 10.1002/ece3.877
   Kuchler AW., 1975, Potential natural vegetation of the conterminous United States
   Latta G, 2009, CAN J FOREST RES, V39, P1197, DOI 10.1139/X09-046
   Leenhouts B., 1998, Conservation Ecology, V2, DOI [10.5751/ES-00035-020101, DOI 10.5751/ES-00035-020101]
   Lenihan J., 1998, Northwest Science, V72, P91
   Lenihan JM, 2008, CLIMATIC CHANGE, V87, pS215, DOI 10.1007/s10584-007-9362-0
   Littell JS, 2010, CLIMATIC CHANGE, V102, P129, DOI 10.1007/s10584-010-9858-x
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Metherell A. K., 1993, 4 USDA, P245
   Meyn A, 2007, PROG PHYS GEOG, V31, P287, DOI 10.1177/0309133307079365
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mote PW, 2010, CLIMATIC CHANGE, V102, P29, DOI 10.1007/s10584-010-9848-z
   Mote PW, 2005, B AM METEOROL SOC, V86, P39, DOI 10.1175/BAMS-86-1-39
   NEILSON RP, 1995, ECOL APPL, V5, P362, DOI 10.2307/1942028
   Omernik JM, 2014, ENVIRON MANAGE, V54, P1249, DOI 10.1007/s00267-014-0364-1
   Peterman W, 2014, ECOL MODEL, V294, P84, DOI 10.1016/j.ecolmodel.2014.09.025
   Pyne SJ., 1982, Fire in America: A Cultural History of Wildland and Rural Fire
   Ratajczak Z, 2014, J ECOL, V102, P1374, DOI 10.1111/1365-2745.12311
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Rehfeldt GE, 2014, FOREST ECOL MANAG, V324, P126, DOI 10.1016/j.foreco.2014.02.035
   Rehfeldt GE, 2012, ECOL APPL, V22, P119, DOI 10.1890/11-0495.1
   Rogers BM, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2011JG001695
   Shafer SL, 2001, ECOSYSTEMS, V4, P200, DOI 10.1007/s10021-001-0004-5
   Turner D.P., 2015, CLIM CHANGE
   Van Wagner C., 1987, Development and Structure of the Canadian Forest Fire Weather Index System
   Vano JA, 2015, GEOPHYS RES LETT, V42, P5516, DOI 10.1002/2015GL063208
   Veblen T. T., 2003, SPRINGER SERIES ECOL, V160, P446
   Whitlock C, 2003, FOREST ECOL MANAG, V178, P5, DOI 10.1016/S0378-1127(03)00051-3
NR 53
TC 56
Z9 64
U1 0
U2 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-3800
EI 1872-7026
J9 ECOL MODEL
JI Ecol. Model.
PD DEC 10
PY 2015
VL 317
BP 16
EP 29
DI 10.1016/j.ecolmodel.2015.08.023
PG 14
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA CW5UZ
UT WOS:000365063400003
OA Bronze
DA 2025-01-10
ER

PT J
AU Baldin, ML
   Sinning, H
AF Baldin, Marie-Luise
   Sinning, Heidi
TI Hitzeresiliente Stadte: Warum gelingt die Umsetzung nicht?
   Governanceanalyse zu Umsetzungs- und Kommunikationshemmnissen am
   Beispiel Dresden und Erfurt
SO DISP
LA English
DT Article
ID CLIMATE
AB Heat resilience of cities has been gaining importance increasingly due to rising temperatures and lasting heat waves in the context of climate change. Therefore, the need to take climate action and implement effective adaption measures has become more urgent. In addition, the Covid-19 pandemic has been promoting strategies to increase resilience, e.g. by improving both urban green and health prevention, which can be seen as synergetic to climate adaptation. Despite a broad consensus that immediate climate action is needed, progress in implementation is advancing rather slowly. By investigating case studies in Dresden and Erfurt, Germany, this article points out barriers in implementing adaption measures and within the communication between stakeholders in the adaption process. The study has found insufficiencies in the current standing of climate adaption in cities' responsibilities and in conflict with competing interests, its integration into administrative tasks and the cross-departmental, collaborative approach in planning and implementation of adaption measures. Furthermore, a relevant obstacle has been identified in the holding on to traditional urban design principles that conflict with climate adaption to urban heat. The analysis is followed by a discussion of possible solutions to these obstacles, which are contextualized by theorical approach of Climate Adaption Governance by reviewing available instruments and examining the relations between key stakeholders. English title: Heat-resilient cities: Why does the implementation not succeed? Governance analysis of implementation and communication problems using the case studies of Dresden and Erfurt
C1 [Baldin, Marie-Luise] Hsch Mittweida, Inst Nachbaltigkeits & Immobilienmanagement INIM, Tech Pl 17, D-09648 Mittweida, Germany.
   [Sinning, Heidi] Fachhsch Erfurt, ISP Inst Stadtforsch Planung & Kommunikat, Altonaer Str 25, D-99085 Erfurt, Germany.
C3 Fachhochschule Erfurt
RP Baldin, ML (corresponding author), Hsch Mittweida, Inst Nachbaltigkeits & Immobilienmanagement INIM, Tech Pl 17, D-09648 Mittweida, Germany.
EM baldin@bs-mittweida.de; sinning@fb-erfurt.de
OI Sinning, Heidi/0000-0002-8332-5059
CR Albrecht J., 2018, GRUNDLAGEN AKTUELLE, V3
   [Anonymous], 2011, E PAPER ARL
   ARL-Akademie fur Raumforschung und Landesplanung, 2018, Handworterbuch der Stadtund Raumentwicklung, P1399
   Baldin M.-L., 2019, ISP SCHRIFTENREIHE, V13
   Baldin M.-L., 2020, ISP SCHRIFTENREIHE, V15
   Basu D, 2015, CAN GEOTECH J, V52, P96, DOI 10.1139/cgj-2013-0120
   Baumuller J., 2013, NACHHALTIGE STADTPLA, P59
   Benz A., 2018, HANDW RTERBUCH STADT, P404
   Benz A., 2007, HDB GOVERNANCE THEOR, P297, DOI DOI 10.1007/978-3-531-90407-8_22
   Beznoska M., 2020, 152020 IW I DTSCH WI
   Birkmann J, 2010, NAT HAZARDS, V55, P637, DOI 10.1007/s11069-008-9319-2
   Birkmann J, 2010, SUSTAIN SCI, V5, P185, DOI 10.1007/s11625-010-0111-3
   Bubeck P., 2016, Natur Und Recht, V38, P297, DOI [10.1007/s10357-016-3003-1, DOI 10.1007/S10357-016-3003-1]
   Coates L, 2014, ENVIRON SCI POLICY, V42, P33, DOI 10.1016/j.envsci.2014.05.003
   CORMONT P., 2011, DYNAKLIM PUBLIKATION, V20
   Die Bundesregierung (BReg), 2011, AKT ANP DTSCH ANP KL
   DWD-Deutscher Wetterdienst, STADTKL STADT WARM
   Erbguth W, 2018, NATURSCHUTZ RECHT, V40, P17, DOI [10.1007/s10357-017-3280-3, DOI 10.1007/S10357-017-3280-3]
   Fekkak M., 2016, RESILIENTE STADT ZUK
   Fleischhauer M, 2006, RAUMFORSCH RAUMORDN, V64, P161, DOI 10.1007/BF03182977
   GREIVING S, 2008, RAUMPLANUNG, V137, P61
   Grossmann K, 2012, DISP, V48, P56, DOI 10.1080/02513625.2012.776818
   Hempel LC, 2009, AM COMP ENVIRON POLI, P33
   Huber B, 2021, RAUMFORSCH RAUMORDN, V79, P501, DOI 10.14512/rur.34
   IPCC, 2014, AR5CL CHANGE2014 IMP
   Kind C, 2014, ANALYSE ENTSCHEIDUNG
   Klimafakten.de, LOCK IN EFFEKT
   Knieling J., 2015, BIG DAT GESCH INN PR, V6
   Kropp J.P., 2008, INFORM RAUMENTWICKLU, V6, P353
   Kuhnau C., DOPPELTE INNENENTWIC
   Landeshauptstadt Dresden, 2019, KLIM DRESD
   Landeshauptstadt Erfurt, ERF STADTKL
   Loffler E., 2001, Verwaltung + Management, V7, P212
   Magistrat der Stadt Wien Wiener Umweltschutzabteilung-Magistratsabteilung 22 (Magistrat der Stadt Wien), 2015, URB HEAT ISL
   Mayring P., 2000, QUALITATIVE CONTENT, V1, P1, DOI 10.17169/fqs-1.2.1089
   Meadowcroft J., 2009, Climate change governance
   Nagorny-Koring N., 2018, Kommunen im Klimawandel: Best Practices als Chance zur grunen Transformation?
   Ostrom Elinor, 2010, SOLS. J., V27, P27
   Rink D., 2018, HDB STADTKONZEPTE AN
   Ritter EH, 2007, RAUMFORSCH RAUMORDN, V65, P531, DOI 10.1007/BF03183905
   Rosenthal JK, 2007, ANN ACAD MED SINGAP, V36, P834
   Schule R., 2016, KOMMUNEN BEFAHIGEN H
   Seager T, 2012, J AGR ENVIRON ETHIC, V25, P467, DOI 10.1007/s10806-011-9342-2
   SINNING H, 2002, LEISTUNGSFAHIGKEIT G
   Straff W, 2017, BUNDESGESUNDHEITSBLA, V60, P662, DOI 10.1007/s00103-017-2554-5
   TERMEER Catrien, 2017, GOVERNANCE ARRANGEME, DOI [10.1093/acrefore/9780190228620.013.600, DOI 10.1093/ACREFORE/9780190228620.013.600]
   UBA, 2020, UMW EM PKW LEICHT NU
   UBA. German Environment Agency, 2019, Umweltbundesamt. Fur Mensch und Umwelt
   Umweltbundesamt, 2017, LEITF KLIM VULN EMPF
   Umweltbundesamt (UBA), 2019, GES DURCH HITZ
   Weiss D., 2017, TEXTE, V91
   Zimmermann A, MAINSTREAMING PARTIC
   Zimmermann K, 2018, COGENT SOC SCI, V4, DOI 10.1080/23311886.2018.1482985
NR 53
TC 0
Z9 0
U1 1
U2 10
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0251-3625
EI 2166-8604
J9 DISP
JI disP
PD JAN 2
PY 2022
VL 58
IS 1
BP 4
EP 20
DI 10.1080/02513625.2022.2091848
PG 17
WC Regional & Urban Planning
WE Social Science Citation Index (SSCI)
SC Public Administration
GA 2N7RE
UT WOS:000818571600002
DA 2025-01-10
ER

PT J
AU Birchall, SJ
AF Birchall, S. Jeff
TI Coastal climate adaptation planning and evolutionary governance:
   Insights from Homer, Alaska
SO MARINE POLICY
LA English
DT Article
DE Urban planning; Climate change policy; Climate resilience; Climate
   stressors; Key informants
ID RESILIENCE; RISK; VULNERABILITY; MITIGATION; GOVERNMENT; FRAMEWORK;
   BARRIERS; SEAWALLS; POLICIES; CITIES
AB Climate variability is not a new challenge for coastal communities. However, because climate variability is manifesting with more extreme climate impacts, occurring with greater frequency and with more intensity, the necessity for adaptation to minimize risk is becoming more pronounced. Though this is true of coastal communities around the globe, it is an acutely important concern for coastal communities in high northern latitudes, where the impacts of climate change are occurring at a disproportionate rate. With Homer, Alaska, as a case study, and through the lens of evolutionary governance, this research investigates coastal stressors (eg. storm surges, bluff instability) and subsequent decision dynamics around local government policy and planning for climate adaptation. In particular, the paper explores the relationship between actors and institutions, the connection between power and knowledge, as well as the challenges of path and goal dependencies. Narratives from key informants associated with Homer's climate change agenda highlight that while some stakeholders are keen to mainstream adaptation thinking into long-term strategic planning, adaptation policy remains a low priority (with a focus instead on mitigation). Uptake is further hindered by a belief among key decision-makers that the threat of climate change is a concern for the future. This in turn has resulted in diminished internal capacity (eg. institutions, knowledge) to effectively prepare for climate variability in general. Drawing insights through evolutionary governance theory, this study may provide coastal community decision-makers with an appreciation of the value (and nuanced challenges) of embedding climate adaptation thinking into strategic community planning.
C1 [Birchall, S. Jeff] Univ Alberta, Dept Earth & Atmospher Sci, Sch Urban & Reg Planning, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
C3 University of Alberta
RP Birchall, SJ (corresponding author), Univ Alberta, Dept Earth & Atmospher Sci, Sch Urban & Reg Planning, 1-26 Earth Sci Bldg, Edmonton, AB T6G 2E3, Canada.
EM jeff.birchall@ualberta.ca
RI Birchall, S Jeff/HOF-3329-2023
FU Ashely and Janet Cameron Research and Education Seed Fund, UAlberta
   North, University of Alberta
FX This work was supported by the Ashely and Janet Cameron Research and
   Education Seed Fund, UAlberta North, University of Alberta.
CR ADEC, 2010, AL CLIM CHANG STRAT
   Armstrong M., 2015, HOMER NEWS
   Baynham M, 2014, J ENVIRON PLANN MAN, V57, P557, DOI 10.1080/09640568.2012.756805
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Betzold C, 2017, REG ENVIRON CHANGE, V17, P1077, DOI 10.1007/s10113-016-1044-x
   Beunen R, 2013, LAND USE POLICY, V31, P280, DOI 10.1016/j.landusepol.2012.07.009
   Birchall J, 2014, QUAL REP, V19
   Birchall J, 2014, CLIM POLICY, V14, P525, DOI 10.1080/14693062.2014.877224
   Birchall SJ, 2014, AUSTRALAS J ENV MAN, V21, P253, DOI 10.1080/14486563.2013.878258
   Birchall SJ, 2019, J ENVIRON PLANN MAN, V62, P2238, DOI 10.1080/09640568.2018.1537975
   Birchall SJ, 2018, CARBON MANAG, V9, P71, DOI 10.1080/17583004.2017.1418596
   Birchall SJ, 2016, QUAL REP, V21, P1351
   Bradley M, 2015, MAR POLICY, V53, P13, DOI 10.1016/j.marpol.2014.11.004
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Butler WH, 2016, J PLAN EDUC RES, V36, P319, DOI 10.1177/0739456X16647161
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   City of Homer, 2010, HOMER COMPREHENSIVE
   City of Homer, 2016, CITY HOMER ALL HAZAR
   City of Homer, 2007, CITY HOMER CLIMATE A
   City of Homer, 2011, HOMER SPIT COMPREHEN
   City of Homer, 2017, HOMER CITY CODE CODI
   City of Homer, 2009, CITY HOMER CLIMATE A
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   Engward H, 2015, J ADV NURS, V71, P1530, DOI 10.1111/jan.12653
   Flavelle C., 2017, ALASKAS BIG PROBLEM
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Forino G, 2017, INT J DISAST RISK RE, V24, P100, DOI 10.1016/j.ijdrr.2017.05.021
   Fünfgeld H, 2012, PLAN THEORY PRACT, V13, P324
   Gibbs MT, 2015, OCEAN COAST MANAGE, V103, P9, DOI 10.1016/j.ocecoaman.2014.10.018
   Giordano T, 2012, UTIL POLICY, V23, P80, DOI 10.1016/j.jup.2012.07.001
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Horney J, 2017, J PLAN EDUC RES, V37, P56, DOI 10.1177/0739456X16628605
   Jackinsky M., 2012, HOMER NEWS
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Jones L, 2017, CLIM POLICY, V17, P551, DOI 10.1080/14693062.2016.1191008
   Kettle NP, 2014, ENVIRON SCI POLICY, V44, P279, DOI 10.1016/j.envsci.2014.08.013
   Kithiia J, 2010, CITIES, V27, P466, DOI 10.1016/j.cities.2010.08.001
   Kleres J, 2011, J THEOR SOC BEHAV, V41, P182, DOI 10.1111/j.1468-5914.2010.00451.x
   Labbé J, 2017, ENVIRON REV, V25, P12, DOI 10.1139/er-2016-0032
   Larsen CF, 2005, EARTH PLANET SC LETT, V237, P548, DOI 10.1016/j.epsl.2005.06.032
   Larsen CF, 2004, GEOPHYS J INT, V158, P1118, DOI 10.1111/j.1365-246X.2004.02356.x
   Lu PW, 2017, TERR ATMOS OCEAN SCI, V28, P83, DOI 10.3319/TAO.2016.04.17.01(CCA)
   Lyles W, 2018, J ENVIRON PLANN MAN, V61, P1994, DOI 10.1080/09640568.2017.1379958
   Manning M, 2015, REG ENVIRON CHANGE, V15, P581, DOI 10.1007/s10113-014-0673-1
   Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Moench M, 2014, DEV PRACT, V24, P447, DOI 10.1080/09614524.2014.909385
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Pearce T, 2011, REG ENVIRON CHANGE, V11, P1, DOI 10.1007/s10113-010-0126-4
   Polkinghorne DE, 2007, QUAL INQ, V13, P471, DOI 10.1177/1077800406297670
   Porter L, 2012, PLAN THEORY PRACT, V13, P593, DOI 10.1080/14649357.2012.731210
   Reed SO, 2015, CLIM DEV, V7, P469, DOI 10.1080/17565529.2014.989190
   Restino C., 2017, ANCHORAGE DAILY NEWS
   Rosendo S, 2018, MAR POLICY, V87, P29, DOI 10.1016/j.marpol.2017.10.001
   Rulleau B, 2017, ENVIRON SCI POLICY, V72, P12, DOI 10.1016/j.envsci.2017.01.009
   Rutherford VE, 2020, MAR POLICY, V111, DOI 10.1016/j.marpol.2016.07.005
   Solomon S., 2007, MILLER CLIMATE CHANG
   Stocker, 2014, CLIMATE CHANGE 2013
   Stults M, 2017, MITIG ADAPT STRAT GL, V22, P1249, DOI 10.1007/s11027-016-9725-9
   US Army Corps of Engineers, AL BAS ER ASS ER INF
   US Climate Resilience Toolkit, 2017, TOWN PLAN COMM CLIM
   Van Assche K., 2018, ROUTLEDGE HDB PLANNI, P221, DOI DOI 10.4324/9781315696072-18
   van Assche K, 2012, PUBLIC ADMIN, V90, P567, DOI 10.1111/j.1467-9299.2011.01972.x
   Van Assche K, 2011, J ENVIRON PLANN MAN, V54, P997, DOI 10.1080/09640568.2010.547687
   Wallace B, 2017, ENVIRON HAZARDS-UK, V16, P149, DOI 10.1080/17477891.2017.1298511
NR 67
TC 15
Z9 15
U1 3
U2 16
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD FEB
PY 2020
VL 112
AR 103410
DI 10.1016/j.marpol.2018.12.029
PG 8
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA KO0AI
UT WOS:000515208000027
DA 2025-01-10
ER

PT J
AU Krosby, M
   Theobald, DM
   Norheim, R
   Mcrae, BH
AF Krosby, Meade
   Theobald, David M.
   Norheim, Robert
   McRae, Brad H.
TI Identifying riparian climate corridors to inform climate adaptation
   planning
SO PLOS ONE
LA English
DT Article
ID CONTERMINOUS UNITED-STATES; LAND-COVER DATABASE; EVOLUTIONARY PROCESSES;
   EXTINCTION RISK; NORTH-AMERICA; CONSERVATION; LANDSCAPE; BIODIVERSITY;
   VEGETATION; ZONES
AB Riparian habitats have been frequently identified as priority areas for conservation under climate change because they span climatic gradients and have cool, moist microclimates relative to surrounding areas. They are therefore expected to act as dispersal corridors for climate-induced species range shifts and to provide microclimatic refugia from warming. Despite recognition of these values, rigorous methods to identify which riparian areas are most likely to facilitate range shifts and provide refugia are currently lacking. We completed a novel analysis across the Pacific Northwest, USA, that identifies potential riparian corridors featuring characteristics expected to enhance their ability to facilitate range shifts and provide refugia. These features include large temperature gradients, high canopy cover, large relative width, low exposure to solar radiation, and low levels of human modification. These variables were used to calculate a riparian climate-corridor index using a multi-scale approach that incorporates results ranging in scale from local watersheds to the entire Pacific Northwest. Resulting index values for potential riparian corridors in the Pacific Northwest were highest within mountainous areas and lowest within relatively flat, lowland regions. We also calculated index values within ecoregions, to better identify high-value riparian climate corridors within the relatively flat, degraded areas where they may most contribute to climate adaptation. We found that high-value riparian climate-corridors are least protected in flat, lowland areas, suggesting that such corridors should be high priorities for future conservation effort. Our analysis provides critical information on valuable riparian climate-corridors to guide climate adaptation efforts (and riparian management and restoration efforts) in the Pacific Northwest, while offering a novel approach that may be applied to similar efforts in other geographies.
C1 [Krosby, Meade; Norheim, Robert] Univ Washington, Coll Environm, Climate Impacts Grp, Seattle, WA 98195 USA.
   [Theobald, David M.] Conservat Sci Partners, Ft Collins, CO USA.
   [McRae, Brad H.] Nature Conservancy, Ft Collins, CO USA.
C3 University of Washington; University of Washington Seattle; Nature
   Conservancy
RP Krosby, M (corresponding author), Univ Washington, Coll Environm, Climate Impacts Grp, Seattle, WA 98195 USA.
EM mkrosby@uw.edu
OI Krosby, Meade/0000-0001-6235-7839
FU Washington Department of Fish Wildlife [10-1515]; North Pacific
   Landscape Conservation Cooperative; USFWS [Fl2AC01044]; Wilburforce
   Foundation [UNIVE1211]
FX This work was supported by grants from Washington Department of Fish &
   Wildlife (MK), Grant Number 10-1515, wdfw.wa.gov; North Pacific
   Landscape Conservation Cooperative (MK), USFWS Grant Number Fl2AC01044,
   northpacificlcc.org; and Wilburforce Foundation (MK), Grant Number
   UNIVE1211, www.wilburforce.org. The funders had no role in study design,
   data collection and analysis, decision to publish, or preparation of the
   manuscript.
CR Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Ashcroft MB, 2009, GLOBAL CHANGE BIOL, V15, P656, DOI 10.1111/j.1365-2486.2008.01762.x
   Beechie T, 2013, RIVER RES APPL, V29, P939, DOI 10.1002/rra.2590
   Beier Paul, 2012, Ecological Restoration, V30, P312, DOI 10.3368/er.30.4.312
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Capon SJ, 2013, ECOSYSTEMS, V16, P359, DOI 10.1007/s10021-013-9656-1
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Clerici N, 2013, INT J APPL EARTH OBS, V21, P477, DOI 10.1016/j.jag.2012.07.001
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Dickson BG, 2005, J WILDLIFE MANAGE, V69, P264, DOI 10.2193/0022-541X(2005)069<0264:IOVTAR>2.0.CO;2
   Dobrowski SZ, 2011, GLOBAL CHANGE BIOL, V17, P1022, DOI 10.1111/j.1365-2486.2010.02263.x
   ESRI, 2013, ARCGIS SPAT AN REL 1
   Fremier AK, 2015, BIOL CONSERV, V191, P29, DOI 10.1016/j.biocon.2015.06.029
   Gergely KJ., 2013, U.S. Geological Survey Fact Sheet 2013-3085
   Gesch D, 2002, PHOTOGRAMM ENG REM S, V68, P5
   Gillies CS, 2008, P NATL ACAD SCI USA, V105, P19774, DOI 10.1073/pnas.0803530105
   del Tánago MG, 2011, LIMNETICA, V30, P235
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Haddad NM, 2014, CONSERV BIOL, V28, P1178, DOI 10.1111/cobi.12323
   Hak JC, 2017, ECOL INDIC, V82, P206, DOI 10.1016/j.ecolind.2017.06.049
   Hannah L, 2014, TRENDS ECOL EVOL, V29, P390, DOI 10.1016/j.tree.2014.04.006
   Hilty JA, 2004, CONSERV BIOL, V18, P126, DOI 10.1111/j.1523-1739.2004.00225.x
   Homer C, 2015, PHOTOGRAMM ENG REM S, V81, P345, DOI 10.14358/PERS.81.5.345
   Jones KB, 2010, LANDSCAPE ECOL, V25, P1261, DOI 10.1007/s10980-010-9510-1
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Klausmeyer KR, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00044.1
   Klein C, 2009, ECOL APPL, V19, P206, DOI 10.1890/07-1684.1
   Kristensen PB, 2013, HYDROLOGY EARTH SYST, V10, P6081
   Krosby M, 2015, NAT CLIM CHANGE, V5, P883, DOI 10.1038/NCLIMATE2699
   Krosby M, 2010, CONSERV BIOL, V24, P1686, DOI 10.1111/j.1523-1739.2010.01585.x
   Machtans CS, 1996, CONSERV BIOL, V10, P1366, DOI 10.1046/j.1523-1739.1996.10051366.x
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McRae BH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052604
   NAIMAN RJ, 1993, ECOL APPL, V3, P209, DOI 10.2307/1941822
   Nowak DJ, 2010, ENVIRON MANAGE, V46, P378, DOI 10.1007/s00267-010-9536-9
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Olson DH, 2007, FOREST ECOL MANAG, V246, P81, DOI 10.1016/j.foreco.2007.03.053
   OMERNIK JM, 1987, ANN ASSOC AM GEOGR, V77, P118, DOI 10.1111/j.1467-8306.1987.tb00149.x
   Pierce KB, 2005, LANDSCAPE ECOL, V20, P137, DOI 10.1007/s10980-004-1296-6
   Pusey BJ, 2003, MAR FRESHWATER RES, V54, P1, DOI 10.1071/MF02041
   Richardson DM, 2007, DIVERS DISTRIB, V13, P126, DOI 10.1111/j.1366-9516.2006.00314.x
   Rouget M, 2003, DIVERS DISTRIB, V9, P191, DOI 10.1046/j.1472-4642.2003.00025.x
   Sabo JL, 2005, ECOLOGY, V86, P56, DOI 10.1890/04-0668
   Salo JA, 2016, J AM WATER RESOUR AS, V52, P632, DOI 10.1111/1752-1688.12414
   Santos MJ, 2016, EUR J WILDLIFE RES, V62, P251, DOI 10.1007/s10344-016-0984-2
   Seaber P.R., 1987, HYDROLOGIC UNIT MAPS
   Seavy N. E., 2009, Ecological Restoration, V27, P330, DOI 10.3368/er.27.3.330
   Theobald DM, 2013, LANDSCAPE ECOL, V28, P1859, DOI 10.1007/s10980-013-9941-6
   Theobald DM, 2012, CONSERV LETT, V5, P123, DOI 10.1111/j.1755-263X.2011.00218.x
   Theobald DM., 2013, Detailed datasets on riparian and valley- - - bottom attributes and condition for the Great Northern and Northern Pacific:1-19
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Vos CC, 2008, J APPL ECOL, V45, P1722, DOI 10.1111/j.1365-2664.2008.01569.x
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Western Association of Fish and Wildlife Agencies, CRUC HAB ASS TOOL CH
NR 55
TC 23
Z9 28
U1 5
U2 22
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 14
PY 2018
VL 13
IS 11
AR e0205156
DI 10.1371/journal.pone.0205156
PG 18
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA HA3GQ
UT WOS:000450138500014
PM 30427831
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Molenveld, A
   van Buuren, A
   Ellen, GJ
AF Molenveld, Astrid
   van Buuren, Arwin
   Ellen, Gerald-Jan
TI Governance of climate adaptation, which mode? An exploration of
   stakeholder viewpoints on how to organize adaptation
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate adaptation; Stakeholder perspectives; Governance; Q methodology
ID WICKED PROBLEMS; MARKETS; NETHERLANDS; HIERARCHIES; NETWORK
AB There are many normative answers on the question how to realize climate adaptation, ranging from pleas for the government to play a decisive role, to calls for refraining from action and relying upon spontaneous adaptation of both government and non-governmental actors. In this article, we present a Q methodological study, aimed at investigating the governance preferences among non-governmental actors in the Netherlands and the "narratives" they use to motivate these preferences. Our empirical results underline the fact that the question "how to organize adaptation", is a controversial one. The results resemble the various positions in the current academic debate about the governance of adaptation, and add important insights and nuances to it. Many respondents feel that the current climate adaptation policy is too non-committal. The dominant viewpoint underscores a need for more rules and norms and the possibility to sanction organizations that do not adapt. Minority viewpoints show an urge to stimulate and support self-organization of partners, as well as a need for more action. However, financial and regulatory preconditions are needed to stimulate actors in order to see to the necessary investments. Policy-makers have to invest in mixing their policy instruments. Clearly, most nongovernmental actors are in favor of the government setting a framework with rules and norms for climate adaption. However, the viewpoints show that this is not sufficient. The government should facilitate networks, joint efforts and create the financial and regulatory preconditions to remove current barriers blocking adaptation measures.
C1 [Molenveld, Astrid; van Buuren, Arwin] Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.
   [Molenveld, Astrid] Univ Antwerp, Res Grp Polit & Publ Governance, B-2000 Antwerp, Belgium.
   [Ellen, Gerald-Jan] Deltares, Delft, Netherlands.
C3 Erasmus University Rotterdam; Erasmus University Rotterdam - Excl
   Erasmus MC; University of Antwerp; Deltares
RP Molenveld, A (corresponding author), Erasmus Univ, Dept Publ Adm & Sociol, Rotterdam, Netherlands.; Molenveld, A (corresponding author), Univ Antwerp, Res Grp Polit & Publ Governance, B-2000 Antwerp, Belgium.
EM molenveld@essb.eur.nl
OI Molenveld, Astrid/0000-0003-0228-6893
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Adger WN, 2016, GLOBAL ENVIRON CHANG, V38, pA1, DOI 10.1016/j.gloenvcha.2016.03.009
   Adger WN, 2013, NAT CLIM CHANGE, V3, P330, DOI [10.1038/nclimate1751, 10.1038/NCLIMATE1751]
   Alford J, 2017, POLICY SOC, V36, P397, DOI 10.1080/14494035.2017.1361634
   [Anonymous], CLIM LAW
   [Anonymous], 1995, ORG ACT TOGETHER INT
   Bednar D, 2019, J ENVIRON POL PLAN, V21, P702, DOI 10.1080/1523908X.2019.1670050
   BEKKERS VJJ, 2017, BELEID BEWEGING ACHT
   BemelmansVidec M.L., 2011, Carrots, Sticks, and Sermons: Policy Instruments and Their Evaluation, V1
   Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005
   Boonstra B, 2011, URBAN RES PRACT, V4, P99, DOI 10.1080/17535069.2011.579767
   Botzen WJW, 2008, RISK ANAL, V28, P413, DOI 10.1111/j.1539-6924.2008.01035.x
   Bouckaert G, 2010, PUB SECTOR ORGAN, P1, DOI 10.1057/9780230275256
   Bovaird T, 2009, INT REV ADM SCI, V75, P383, DOI 10.1177/0020852309337687
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown S.R., 1993, Operant subjectivity, V16, P91, DOI DOI 10.22488/OKSTATE.93.100504
   Camacho AlejandroE., 2009, EMORY LAW J, V59, P1
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Coase RH, 1937, ECONOMICA-NEW SER, V4, P386, DOI 10.1111/j.1468-0335.1937.tb00002.x
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Considine M, 2003, PUBLIC ADMIN REV, V63, P131, DOI 10.1111/1540-6210.00274
   Considine M, 1999, PUBLIC ADMIN REV, V59, P467, DOI 10.2307/3110295
   Considine M., 2001, Enterprising States: The Public Management of Welfare to Work
   Davies JS, 2002, PUBLIC ADMIN, V80, P301, DOI 10.1111/1467-9299.00305
   de Graaff R, 2017, TUSSENTIJDSE EVALUAT
   Dixon John., 2002, Administrative Theory and Praxis, V24, P175, DOI DOI 10.1080/10841806.2002.11029344
   DRYZEK JS, 1993, AM POLIT SCI REV, V87, P48, DOI 10.2307/2938955
   Duijn M, 2019, INT J WATER RESOUR D, V35, P383, DOI 10.1080/07900627.2019.1575189
   Edelenbos J, 2018, AM REV PUBLIC ADM, V48, P52, DOI 10.1177/0275074016651142
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fischer Frank., 2017, Climate Crisis and the Democratic Prospect: Participatory Governance in Sustainable Communities
   Ford JD, 2011, CLIMATIC CHANGE, V106, P327, DOI 10.1007/s10584-011-0045-5
   Hall CM, 2011, J SUSTAIN TOUR, V19, P437, DOI 10.1080/09669582.2011.570346
   Hartzell-Nichols L, 2011, WIRES CLIM CHANGE, V2, P687, DOI 10.1002/wcc.132
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Hobson K, 2011, GLOBAL ENVIRON CHANG, V21, P957, DOI 10.1016/j.gloenvcha.2011.05.001
   Howlett M, 2017, POLITICS GOV, V5, P69, DOI 10.17645/pag.v5i2.928
   Howlett M, 2009, POLICY SCI, V42, P73, DOI 10.1007/s11077-009-9079-1
   Huitema D, 2016, ECOL SOC, V21, DOI 10.5751/ES-08797-210337
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Jeffares S, 2016, EVALUATION-US, V22, P91, DOI 10.1177/1356389015624195
   Keast R., 2007, INT PUBLIC MANAG J, V10, P9, DOI [10.1080/10967490601185716, DOI 10.1080/10967490601185716]
   Kickert W., 1993, MODERN GOVERNANCE, P191
   KLIJN EH, 2004, MANAGING COMPLEX NET, P98
   Klijn EH, 2016, GOVERNANCE NETWORKS IN THE PUBLIC SECTOR, P1
   Klinsky S, 2009, CLIM POLICY, V9, P88, DOI 10.3763/cpol.2007.0468
   Lascoumes P, 2007, GOVERNANCE, V20, P1, DOI 10.1111/j.1468-0491.2007.00342.x
   Lazarus RJ, 2009, CORNELL LAW REV, V94, P1153
   Linnerooth-Bayer J, 2015, CLIMATIC CHANGE, V133, P85, DOI 10.1007/s10584-013-1035-6
   Lowndes V, 1998, PUBLIC ADMIN, V76, P313, DOI 10.1111/1467-9299.00103
   McCrum Gillian, 2009, European Environment, V19, P413, DOI 10.1002/eet.525
   McKeown B., 2013, Q METHODOLOGY, V66
   Mees HLP, 2014, ECOL SOC, V19, DOI 10.5751/ES-06639-190258
   Mees HLP, 2013, J ENVIRON PLANN MAN, V56, P802, DOI 10.1080/09640568.2012.706600
   Molenveld A, 2020, PUBLIC ADMIN REV, V80, P9, DOI 10.1111/puar.13136
   Nair S, 2016, SUSTAIN SCI, V11, P909, DOI 10.1007/s11625-016-0387-z
   Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001
   OUCHI WG, 1980, ADMIN SCI QUART, V25, P129, DOI 10.2307/2392231
   Page EA, 2008, ENVIRON POLIT, V17, P556, DOI 10.1080/09644010802193419
   Pahl-Wostl C, 2019, ENVIRON SCI POLICY, V91, P6, DOI 10.1016/j.envsci.2018.10.008
   POWELL WW, 1990, RES ORGAN BEHAV, V12, P295
   Ramlo S. E., 2011, OPERANT SUBJECTIVITY, V34, P172, DOI [DOI 10.15133/J.OS.2010.009, DOI 10.15133/j.os.2010.009]
   Rhodes R.A. W., 1997, MANAGING COMPLEX NET
   Rogge KS, 2016, RES POLICY, V45, P132, DOI 10.1016/j.respol.2016.04.004
   Salamon LesterM., 2002, TOOLS GOVT GUIDE NEW
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Stephenson W, 1935, NATURE, V136, P297, DOI 10.1038/136297b0
   Teisman G, 2009, ROUTL CRIT STUD PUBL, pXIII
   Tenbensel T, 2018, PUBLIC MANAG REV, V20, P1032, DOI 10.1080/14719037.2017.1364409
   Thompson G., 1991, MARKETS HIERARCHIES
   Tompkins EL, 2012, GLOBAL ENVIRON CHANG, V22, P3, DOI 10.1016/j.gloenvcha.2011.09.010
   Van Exel G., 2005, Health Policy and Management, V1, P1, DOI DOI 10.1021/CEN-V083N024.P002
   Van Meerkerk I, 2018, PUBLIC ADMIN, V96, P651, DOI 10.1111/padm.12523
   Verweij M, 2006, PUBLIC ADMIN, V84, P817, DOI 10.1111/j.1540-8159.2005.09566.x-i1
   Voets J, 2015, PUBLIC MANAG REV, V17, P981, DOI 10.1080/14719037.2015.1029347
   Watts S., 2012, Doing Q methodological research
   Williamson O. E., 1996, MECH GOVERNANCE
   WILLIAMSON OE, 1973, AM ECON REV, V63, P316
   Zivojinovic I, 2015, URBAN FOR URBAN GREE, V14, P1079, DOI 10.1016/j.ufug.2015.10.007
NR 79
TC 18
Z9 18
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 SEP
PY 2020
VL 162
IS 2
BP 233
EP 254
DI 10.1007/s10584-020-02683-9
EA JUN 2020
PG 22
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 OC5FL
UT WOS:000541057900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Wissman, N
   Levy, D
   Nyberg, D
AF Wissman, Nichole
   Levy, David
   Nyberg, Daniel
TI Catastrophe to Consensus: Hegemonic performativity in climate adaptation
SO ORGANIZATION STUDIES
LA English
DT Article
DE assemblages; calculative practice; climate adaptation; climate change;
   hegemony; performativity
ID CULTURAL-POLITICAL ECONOMY; RISK; AGENCEMENT; STRATEGY; POWER
AB As the impacts of climate change unfold, coastal cities are beginning to adapt to the emerging physical and financial risks. In our case study of climate adaptation in Boston, we advance the concept of hegemonic performativity, which shows how political pressures lead an assemblage - a network of human and nonhuman actors, including models, algorithms, instruments, market devices, and experts - to converge on a consensus in ways that privilege particular goals, actors, interests, and forms of knowledge. Our findings show how an assemblage is performative in building consensus around a particular climate response that tames uncertainty by excluding extreme risks and incorporating more palatable scenarios and parameters so that adaptation appears manageable and compatible with business-as-(almost)-usual. The mechanism of silencing facilitates consensus by downplaying community voices, equity concerns, and more extreme climate scenarios. Our study highlights how the operation of an assemblage is performative in shaping adaptation plans, physical interventions in urban infrastructure, and associated financial mechanisms with considerable effects on who and what is protected.
C1 [Wissman, Nichole] Univ San Diego, Knauss Sch Business, Environm Integrat Lab, San Diego, CA USA.
   [Levy, David] Univ Massachusetts, Management, Boston, MA USA.
   [Nyberg, Daniel] Univ Queensland, Sustainabil, St Lucia, Australia.
   [Wissman, Nichole] Univ San Diego, Knauss Sch Business, Dept Management, 5998 Alcala Pk, San Diego, CA 92110 USA.
C3 University of San Diego; University of Massachusetts System; University
   of Massachusetts Boston; University of Queensland; University of San
   Diego
RP Wissman, N (corresponding author), Univ San Diego, Knauss Sch Business, Dept Management, 5998 Alcala Pk, San Diego, CA 92110 USA.
EM nwissman@sandiego.edu
RI Nyberg, Daniel/ABE-2371-2021
OI Nyberg, Daniel/0000-0002-7144-1343
CR 100 Resilient Cities, 2019, RACIAL EQUITY RESILI
   Allen Myles., 2018, TECHNICAL SUMMARY SP
   Alvesson M, 2012, HUM RELAT, V65, P367, DOI 10.1177/0018726711430555
   Anguelovski I, 2019, PROG HUM GEOG, V43, P1064, DOI 10.1177/0309132518803799
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 2016, Climate Ready Boston
   [Anonymous], 2016, Climate Change and Sea Level Rise Projections for Boston
   [Anonymous], 2018, Feasibility of harbor-wide barrier systems: Preliminary analysis for Boston harbor
   [Anonymous], 2017, Resilient Boston: A connected and equitable city
   [Anonymous], 2007, Do Economists Make Markets? On the Performativity of Economics
   Bamford A, 2018, NEW LEFT REV, P97
   Beunza D, 2019, ORGAN STUD, V40, P515, DOI 10.1177/0170840617747917
   Bowden V, 2021, ORGAN STUD, V42, P1909, DOI 10.1177/01708406211024558
   Cabantous L, 2016, HUM RELAT, V69, P197, DOI 10.1177/0018726715584690
   Cabantous L, 2011, ORGAN SCI, V22, P573, DOI 10.1287/orsc.1100.0534
   Cabantous L, 2010, ORGAN STUD, V31, P1531, DOI 10.1177/0170840610380804
   Cable S, 2008, AM SOCIOL REV, V73, P380, DOI 10.1177/000312240807300302
   Callon M, 2005, ORGAN STUD, V26, P1229, DOI 10.1177/0170840605056393
   Callon M, 1998, LAWS OF THE MARKETS, P1, DOI 10.1111/j.1467-954X.1998.tb03468.x
   CALLON M, 1986, SOCIOL RE MONOGR, P196, DOI 10.1111/j.1467-954X.1984.tb00113.x
   Callon Michel., 1981, Advances in Social Theory and Methodology: Toward an Integration of Micro and Macro-Sociologies, P277
   Carter C, 2013, BUS HIST, V55, P1047, DOI 10.1080/00076791.2013.838030
   Carton G, 2020, ORGAN STUD, V41, P1417, DOI 10.1177/0170840619897197
   City of Boston, 2015, BOSTON LIVING WATER
   Corbin J.M., 2015, Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed), V4th, DOI 10.4135/9781452230153
   D'Adderio L, 2014, ORGAN STUD, V35, P1813, DOI 10.1177/0170840614538962
   Deleuze G., 1987, A Thousand Plateaus: Capitalism and Schizophrenia
   Deleuze G., 1994, What is Philosophy
   Dupret K, 2019, ORGAN STUD, V40, P681, DOI 10.1177/0170840618759816
   Etzion D, 2019, ACAD MANAG DISCOV, V5, P530, DOI 10.5465/amd.2018.0137
   Garud R, 2019, ACAD MANAGE REV, V44, P679, DOI 10.5465/amr.2018.0315
   Gehman J, 2022, ORGAN STUD, V43, P289, DOI 10.1177/01708406211044893
   Gherardi S, 2016, ORGANIZATION, V23, P680, DOI 10.1177/1350508415605174
   Glaser VL, 2021, ORGAN THEOR, V2, DOI 10.1177/26317877211004609
   Gond JP, 2017, ORGAN STUD, V38, P1127, DOI 10.1177/0170840616677630
   Gramsci Antonio., 1971, Selections from the prison notebooks of Antonio Gramsci
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   Hardie I, 2007, SOCIOL REV, V55, P57, DOI 10.1111/j.1467-954X.2007.00682.x
   Hardy C, 2016, ACAD MANAGE REV, V41, P80, DOI 10.5465/amr.2013.0106
   Haugaard M., 2006, CONSENSUS COERCION C, P45
   Hayes N, 2018, ORGAN STUD, V39, P1203, DOI 10.1177/0170840617694067
   Jessop Bob, 2010, CRITICAL POLICY STUDIES, V3, P336, DOI [10.1080/19460171003619741, DOI 10.1080/19460171003619741]
   Kalaith R., 2016, National Public Radio
   Kirshen P., 2018, Feasibility of Harbor-wide Barrier Systems: Preliminary Analysis for Boston Harbor
   Latour Bruno, 2007, REASSEMBLING SOCIAL, DOI DOI 10.1017/CBO9781107415324.004
   Law J., 2004, After Method: Mess in Social Science Research, V1st ed, DOI DOI 10.4324/9780203481141
   Levin Peter., 2002, ORG POLICY NATURAL E, P119
   Levy D, 2007, ORGAN STUD, V28, P971, DOI 10.1177/0170840607078109
   Levy DL, 2016, ROUTL COMPANION BUS, P559
   Levy DL, 2013, ORGANIZATION, V20, P659, DOI 10.1177/1350508413489816
   Ligonie M, 2018, LONG RANGE PLANN, V51, P463, DOI 10.1016/j.lrp.2017.04.001
   MacKenzie D, 2007, ECON SOC, V36, P355, DOI 10.1080/03085140701428332
   MacKenzie D, 2017, SOC STUD SCI, V47, P172, DOI 10.1177/0306312716676900
   MacKenzie D, 2009, ACCOUNT ORG SOC, V34, P440, DOI 10.1016/j.aos.2008.02.004
   MacKenzie Donald A., 2008, DO EC MAKE MARKETS P, P311, DOI DOI 10.1177/0170840605056393
   Marti E, 2018, ACAD MANAGE REV, V43, P487, DOI 10.5465/amr.2016.0071
   McDonald D., 2022, The Boston Globe
   Millo Y, 2009, ACCOUNT ORG SOC, V34, P638, DOI 10.1016/j.aos.2008.10.002
   Moody's Investor Services, 2017, CLIMATE CHANGE IS FO
   Mumby DK, 1997, WESTERN J COMM, V61, P343
   Nyberg D, 2016, ORGANIZATION, V23, P617, DOI 10.1177/1350508415572038
   Perrow C., 1984, Normal Accidents: Living with High Risk Technologies
   Ritchie J., 2013, Qualitative research practice: A guide for social science students and researchers
   Saldana J., 2016, The coding manual for qualitative researchers, V3rd
   Shackley S, 1998, CLIMATIC CHANGE, V38, P159, DOI 10.1023/A:1005310109968
   Spicer A, 2009, HUM RELAT, V62, P537, DOI 10.1177/0018726708101984
   Timmermans S, 2012, SOCIOL THEOR, V30, P167, DOI 10.1177/0735275112457914
   Tradowsky JS, 2023, CLIMATIC CHANGE, V176, DOI 10.1007/s10584-023-03502-7
   Van Maanen J, 2007, ACAD MANAGE REV, V32, P1145, DOI 10.5465/AMR.2007.26586080
   Wegner G, 2011, GLOBAL ENVIRON CHANG, V21, P492, DOI 10.1016/j.gloenvcha.2010.12.008
   Wissman-Weber NK, 2018, ORGANIZATION, V25, P491, DOI 10.1177/1350508418775812
   Yin R. K., 1989, Case study research: Design and methods, V5
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 73
TC 0
Z9 0
U1 7
U2 12
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0170-8406
EI 1741-3044
J9 ORGAN STUD
JI Organ. Stud.
PD MAY
PY 2024
VL 45
IS 5
BP 691
EP 718
DI 10.1177/01708406241233179
EA MAR 2024
PG 28
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA WG9A8
UT WOS:001185702400001
DA 2025-01-10
ER

PT J
AU Zwarteveen, JW
   Zawwar, I
   Angus, A
AF Zwarteveen, Jan Willem
   Zawwar, Imran
   Angus, Andrew
TI Market entry for wind energy: Strategic approaches for the original
   equipment manufacturer
SO BUSINESS STRATEGY AND DEVELOPMENT
LA English
DT Article
DE developing and emerging economies; diffusion; inclusive; market entry;
   original equipment manufacturer; strategy; wind energy
ID FOREIGN DIRECT-INVESTMENT; TECHNOLOGICAL-INNOVATION; PUBLIC-POLICY;
   DEVELOPING-COUNTRIES; CLIMATE ADAPTATION; PATH CREATION; PANEL-DATA;
   POWER; DIFFUSION; BARRIERS
AB Wind energy is a valuable resource, but many developing and emerging economies (DEEs) are not utilizing the tremendous wind capacity available to them. This means there is a potential for wind turbine original equipment manufacturers (OEMs) to penetrate new markets to increase profits, and to contribute to Sustainable Development Goals. This article explores the potential triggers for wind energy diffusion and provides the basis for inclusive market entry strategies for wind power OEMs. Indications are that early wind energy path creation is driven by climate adaptation, vested interests in fossil fuels and hydropower, and the business case potential. A negative business case potential in many DEEs formed a substantial barrier. A shift to increased local value creation, collaboration with traditional power producers, and promoting wind for climate adaptation are key novel inclusive market entry strategies to open and develop new markets.
C1 [Zwarteveen, Jan Willem; Zawwar, Imran; Angus, Andrew] Cranfield Univ, Sch Management Cranfield, Cranfield MK43 0AL, Beds, England.
C3 Cranfield University
RP Zwarteveen, JW (corresponding author), Cranfield Univ, Sch Management Cranfield, Cranfield MK43 0AL, Beds, England.
EM jan-willem.zwarteveen@cranfield.ac.uk
OI Zwarteveen, Jan Willem/0000-0003-3133-1614
FU Siemens Gamesa Renewable Energy
FX Siemens Gamesa Renewable Energy
CR [Anonymous], 2018, Renewable Power Generation Costs in 2018, DOI DOI 10.1007/SPRINGERREFERENCE_7300
   [Anonymous], 2020, Renewable Power Generation Costs in 2019
   [Anonymous], 1990, Linear Statistical Models: An Applied Approach
   Apergis N, 2021, ENERG ECON, V97, DOI 10.1016/j.eneco.2021.105223
   Arent DJ, 2011, ENERG ECON, V33, P584, DOI 10.1016/j.eneco.2010.11.003
   Arnold MG, 2018, BUS STRATEGY DEV, V1, P265, DOI 10.1002/bsd2.36
   Barasa M, 2018, RENEW SUST ENERG REV, V92, P440, DOI 10.1016/j.rser.2018.04.110
   Barradale MJ, 2010, ENERG POLICY, V38, P7698, DOI 10.1016/j.enpol.2010.08.021
   BASS FM, 1969, MANAGE SCI, V15, P215, DOI 10.1287/mnsc.15.5.215
   Baudry M, 2019, ENVIRON RESOUR ECON, V73, P385, DOI 10.1007/s10640-018-0267-3
   Bento N, 2016, TECHNOL FORECAST SOC, V113, P308, DOI 10.1016/j.techfore.2015.09.003
   Bento N, 2015, TECHNOL FORECAST SOC, V99, P197, DOI 10.1016/j.techfore.2015.06.037
   Bergek A, 2008, RES POLICY, V37, P407, DOI 10.1016/j.respol.2007.12.003
   Best R, 2018, ENERG POLICY, V118, P404, DOI 10.1016/j.enpol.2018.03.050
   Blaikie N., 2007, CONT SOCIOLOGY, V24, P273, DOI [10.2307/2076918, DOI 10.2307/2076918]
   Blanford GJ, 2009, ENERG ECON, V31, pS27, DOI 10.1016/j.eneco.2008.03.010
   Böhringer C, 2009, ENERG ECON, V31, pS1, DOI 10.1016/j.eneco.2009.05.006
   Brunel C, 2019, ENERG ECON, V78, P1, DOI 10.1016/j.eneco.2018.10.011
   Chappin EJL, 2014, UTIL POLICY, V31, P10, DOI 10.1016/j.jup.2014.07.003
   Chen XY, 2019, J MOD POWER SYST CLE, V7, P1, DOI 10.1007/s40565-018-0438-9
   Cherp A, 2017, ENERG POLICY, V101, P612, DOI 10.1016/j.enpol.2016.10.044
   Ciscar JC, 2014, ENERG ECON, V46, P531, DOI 10.1016/j.eneco.2014.07.003
   Cohen Shabtai, 2021, Climate Change. Observed Impacts on Planet Earth, P687, DOI DOI 10.1016/B978-0-12-821575-3.00032-3
   Curran L, 2017, ENERG POLICY, V101, P670, DOI 10.1016/j.enpol.2016.09.018
   Damert M, 2018, BUS STRATEG ENVIRON, V27, P265, DOI 10.1002/bse.1968
   Davies S., 1979, The diffusion of process innovations
   del Río P, 2012, APPL ENERG, V95, P12, DOI 10.1016/j.apenergy.2012.01.043
   DiBella J, 2020, BUS STRATEGY DEV, V3, P245, DOI 10.1002/bsd2.92
   Dorman L. I., 2021, Climate change, P711, DOI DOI 10.1016/B978-0-12-821575-3.00033-5
   Edenhofer O, 2011, RENEWABLE ENERGY SOURCES AND CLIMATE CHANGE MITIGATION: SPECIAL REPORT OF THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE, P1
   Edmondson AC, 2007, ACAD MANAGE REV, V32, P1155, DOI 10.5465/AMR.2007.26586086
   Ender P.B., 2010, STATA PROGRAMS DATA
   Ericsson K, 2011, ENERG POLICY, V39, P1439, DOI 10.1016/j.enpol.2010.12.016
   Espinoza Juan Leonardo, 2010, Global Business & Economics Review, V12, P203, DOI 10.1504/GBER.2010.034894
   Euromonitor International, 2020, PASSP EC CONS ANN DA
   Fetz A, 2010, ENERG ECON, V32, P1325, DOI 10.1016/j.eneco.2010.06.011
   Friebe CA, 2014, ENERG POLICY, V70, P217, DOI 10.1016/j.enpol.2014.03.016
   Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8
   Global Petrol Prices, 2020, EL PRIC
   Goffin K, 2004, Eur Bus Forum, P45
   GRILICHES Z, 1957, ECONOMETRICA, V25, P501, DOI 10.2307/1905380
   Gupta J, 2015, EUR J DEV RES, V27, P541, DOI 10.1057/ejdr.2015.30
   Gygli S, 2019, REV INT ORGAN, V14, P543, DOI 10.1007/s11558-019-09344-2
   Hartmann P, 2017, J ENVIRON PSYCHOL, V52, P43, DOI 10.1016/j.jenvp.2017.05.006
   Hartmann P, 2012, J BUS RES, V65, P1254, DOI 10.1016/j.jbusres.2011.11.001
   HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251, DOI 10.2307/1913827
   Haywood J., 2021, CLIMATE CHANGE, V3rd ed., P645, DOI [10.1016/b978-0-12-821575-3.00030-x, DOI 10.1016/B978-0-12-821575-3.00030-X]
   Henze V., 2020, VESTAS STILL RULES T
   Henze V., 2021, ENERGY TRANSITION IN
   Inoue Y, 2008, TECHNOL FORECAST SOC, V75, P1303, DOI 10.1016/j.techfore.2008.01.001
   International Monetary Fund, 2020, World Economic Outlook
   International Renewable Energy Agency, 2020, REN EL CAP GEN STAT
   Ioannou A, 2019, ENERG ECON, V80, P760, DOI 10.1016/j.eneco.2019.02.013
   Jaber Suaad, 2013, Journal of Clean Energy Technologies, V1, P251, DOI 10.7763/JOCET.2013.V1.57
   Jacobsson S, 2006, ENERG POLICY, V34, P256, DOI 10.1016/j.enpol.2004.08.029
   Keeley AR, 2018, ENERG POLICY, V123, P337, DOI 10.1016/j.enpol.2018.08.055
   Keeley AR, 2017, J CLEAN PROD, V161, P1451, DOI 10.1016/j.jclepro.2017.05.106
   Khan SJ, 2021, BUS STRATEG ENVIRON, V30, P3273, DOI 10.1002/bse.2802
   Kudelin A, 2021, ENERGY STRATEG REV, V34, DOI 10.1016/j.esr.2021.100627
   Kumar S, 2021, BUS STRATEG ENVIRON, V30, P3454, DOI 10.1002/bse.2813
   Lacal-Arántegui R, 2019, RENEW ENERG, V134, P612, DOI 10.1016/j.renene.2018.10.087
   Leigland J, 2018, DEV SO AFR, V35, P569, DOI 10.1080/0376835X.2018.1487829
   Lourens LJ., 2021, Climate change, V3, P583, DOI [10.1016/B978-0-12-821575-3.00028-1, DOI 10.1016/B978-0-12-821575-3.00028-1]
   Lüthi S, 2011, ENERG POLICY, V39, P4876, DOI 10.1016/j.enpol.2011.06.029
   Mantlana KB, 2020, BUS STRATEGY DEV, V3, P344, DOI 10.1002/bsd2.100
   Mauree D, 2019, RENEW SUST ENERG REV, V112, P733, DOI 10.1016/j.rser.2019.06.005
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Moe E, 2012, ENERG POLICY, V40, P260, DOI 10.1016/j.enpol.2011.09.070
   Mulder A, 2008, ENERG ECON, V30, P2980, DOI 10.1016/j.eneco.2008.02.005
   Nelson R. R., 1985, EVOL THEOR
   Newell RG, 2006, ENERG ECON, V28, P563, DOI 10.1016/j.eneco.2006.07.004
   Nordensvärd J, 2015, ENERG POLICY, V82, P156, DOI 10.1016/j.enpol.2015.03.009
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Pansera M, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8010051
   Polzin F, 2017, RENEW SUST ENERG REV, V77, P525, DOI 10.1016/j.rser.2017.04.007
   Polzin F, 2015, ENERG POLICY, V80, P98, DOI 10.1016/j.enpol.2015.01.026
   Popp D, 2011, ENERG ECON, V33, P648, DOI 10.1016/j.eneco.2010.08.007
   Redman A, 2018, BUS STRATEGY DEV, V1, P230, DOI 10.1002/bsd2.33
   Ruokamo E, 2019, ENERG ECON, V84, DOI 10.1016/j.eneco.2019.104522
   Schumpeter J.A, 1934, THEORY EC DEV INQUIR
   Shah AN, 2013, ENERG POLICY, V63, P1233, DOI 10.1016/j.enpol.2013.08.013
   Shrimali G, 2011, ENERG POLICY, V39, P4726, DOI 10.1016/j.enpol.2011.06.055
   Simmie J, 2014, J EVOL ECON, V24, P875, DOI 10.1007/s00191-014-0354-8
   Sisodia GS, 2015, APPL ECON LETT, V22, P397, DOI 10.1080/13504851.2014.946176
   Sorrell S, 2018, RES POLICY, V47, P1267, DOI 10.1016/j.respol.2018.04.008
   Stata, 2019, Stata choice models reference manual, P1
   Steen M, 2018, ECON GEOGR, V94, P188, DOI 10.1080/00130095.2017.1416953
   Steffen B, 2020, ENERG ECON, V88, DOI 10.1016/j.eneco.2020.104783
   Steffen B, 2018, BUS POLIT, V20, P553, DOI 10.1017/bap.2018.17
   Steffen B, 2018, ENERG ECON, V69, P280, DOI 10.1016/j.eneco.2017.11.006
   Stehly T.J., 2020, Golden, CO (United States), DOI [10.2172/1581952, DOI 10.2172/1581952]
   Stenchikov G, 2021, CLIMATE CHANGE, P607, DOI DOI 10.1016/B978-0-12-821575-3.00029-3
   Surana K, 2015, GLOBAL ENVIRON CHANG, V35, P340, DOI 10.1016/j.gloenvcha.2015.10.001
   Tabachnick B., 2013, Using multivariate statistics, V6th
   Tabassum-Abbasi, 2014, RENEW SUST ENERG REV, V31, P270, DOI 10.1016/j.rser.2013.11.019
   Tan XM, 2013, ENERG ECON, V36, P750, DOI 10.1016/j.eneco.2012.11.019
   Teotónio C, 2020, ENERG ECON, V85, DOI 10.1016/j.eneco.2019.104539
   The World Bank, 2019, PM2 5 AIR POLL MEAN
   UCLA, 2021, INTERPRET ODDS RATIO
   UN News, 2021, REN EN ACC KEY CLIM
   United Nations, 2020, THERM EL
   United Nations, 2020, HYDRO
   United Nations, 2015, No.A/RES/70/1.
   United Nations, 2020, SOLAR ELECT
   United Nations, 2020, ED IND UN DEV PROGR
   United Nations, 2020, TOT EL
   United Nations, 2020, COUNTR SAV ASS
   United States Environmental Protection Agency, 2010, EST PART MATT EM EGR
   Van der Vleuten E, 2006, ENERG POLICY, V34, P3739, DOI 10.1016/j.enpol.2005.08.016
   Vega SH, 2018, ECOL ECON, V145, P461, DOI 10.1016/j.ecolecon.2017.11.023
   Verbeek M., 2004, GUIDE MODERN ECONOME, V2nd
   Wijayatunga PDC, 2006, ENERG CONVERS MANAGE, V47, P1179, DOI 10.1016/j.enconman.2005.07.003
   World Bank, 2019, UN TOT TOT LAB FORC
   World Bank, 2019, EN IMP NET EN US
   World Bank, 2020, CO 2 emissions (metric tons per capita)-Pakistan
   Wu CF, 2017, AIR QUAL ATMOS HLTH, V10, P1039, DOI 10.1007/s11869-017-0492-x
   Yusta JM, 2020, RENEW ENERG, V157, P593, DOI 10.1016/j.renene.2020.05.053
   Sossa JWZ, 2021, BUS STRATEG ENVIRON, V30, P1345, DOI 10.1002/bse.2689
   Zhao ZY, 2016, ENERG POLICY, V88, P465, DOI 10.1016/j.enpol.2015.11.004
   Zwarteveen JW, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2020.125636
NR 120
TC 1
Z9 1
U1 2
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
EI 2572-3170
J9 BUS STRATEGY DEV
JI Bus. Strategy Dev.
PD SEP
PY 2022
VL 5
IS 3
BP 165
EP 186
DI 10.1002/bsd2.188
EA OCT 2021
PG 22
WC Business; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics; Environmental Sciences & Ecology
GA 4H5PS
UT WOS:000706770800001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Deng, GQ
   Rodríguez-Espinosa, ME
   Yan, M
   Lei, YG
   Guevara-Oquendo, VH
   Feng, X
   Zhang, HH
   Deng, HY
   Zhang, WX
   Samadi
   Yu, PQ
AF Deng, Ganqi
   Rodriguez-Espinosa, Maria Eugenia
   Yan, Ming
   Lei, Yaogeng
   Guevara-Oquendo, Victor H.
   Feng, Xin
   Zhang, Huihua
   Deng, Hongyu
   Zhang, Weixian
   Samadi
   Yu, Peiqiang
TI Using advanced vibrational molecular spectroscopy (ATR-Ft/IRS and
   synchrotron SR-IMS) to study an interaction between protein molecular
   structure from biodegradation residues and nutritional properties of
   cool-climate adapted faba bean seeds
SO SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
LA English
DT Article
DE Vibrational molecular spectroscopy; Protein molecular structure; In situ
   degradation kinetics; Rumen protein degradation; Intestinal protein
   digestion; Biodegradation residues of faba legumes
ID IN-VITRO PROCEDURE; VICIA-FABA; INTESTINAL DIGESTION; TANNIN;
   DIGESTIBILITY; REPLACEMENT; MODEL; MEAL; PEAS
AB The objective of this study was to use advanced vibrational molecular spectroscopy (ATR-Ft/IRS) to study an interaction between legume protein molecular structure from biodegradation residues and nutritional properties of newly developed genotypes of cool-climate adapted faba bean seed with low and normal tannin levels grown in western Canada. Protein molecular structures including amide I, II areas and peak heights, a-helix and beta-sheet peak heights in rumen biodegradation residues were determined by using attenuated total reflectance Fourier transform infrared molecular spectroscopy (ATR-FTIR). The nutritional properties were determined which included chemical and nutrient profiles, in situ rumen degradation kinetics, rumen protein degradation, and intestinal protein digestion in the newly developed genotypes of faba bean seeds with low and normal tannin levels. The results showed that the spectral intensity of faba bean varieties with a normal tannin level in rumen biodegradation residues was greater (P < 0.05) than that with a low tannin level. The spectral intensity of amide I, II areas and peak heights, a-helix and beta-sheet peak heights in all genotypes (except the variety of Snowdrop) in biodegradation residuals of faba bean seeds had a unique pattern with increasing first and then decreasing with the increasing of rumen incubation time. The molecular structures of protein (a-helix, ratio of a-helix to beta-sheet height and amide I to II area, R-2 > 0.6) were associated with in situ degradation kinetics - soluble (S) and potential degradable fractions (D) and rumen protein degradation- bypass or undegraded protein (BCP or RUP). The molecular spectral parameters in the FTIR fingerprint region didn't form cluster among different genotypes in residual faba bean seeds in 12 h and 24 h incubation, which indicate they had similar protein molecular structures after incubation. In conclusion, there was an interaction between protein molecular structure from biodegradation residues and nutritional properties of newly developed cool-climate adapted faba bean seeds with normal and low level of tannin. The cool-climate adapted genotype had an impact on the protein molecular structure, and the protein utilization and metabolism were predictable from protein spectral molecular structures after rumen biodegradation with ATR-Ft/IRS spectroscopy. (c) 2018 Elsevier B.V. All rights reserved.
C1 [Deng, Ganqi; Rodriguez-Espinosa, Maria Eugenia; Yan, Ming; Lei, Yaogeng; Guevara-Oquendo, Victor H.; Feng, Xin; Yu, Peiqiang] Univ Saskatchewan, Coll Agr & Bioresources, Dept Anim & Poultry Sci, Saskatoon, SK, Canada.
   [Deng, Ganqi; Feng, Xin; Zhang, Huihua] Foshan Univ, Sch Life Sci & Engn, Foshan, Peoples R China.
   [Deng, Hongyu; Zhang, Weixian] Henan Univ Anim Husb & Econ, Zhengzhou, Peoples R China.
   [Samadi] Univ Syiah Kuala, Fac Agr, Anim Sci Dept, Banda Aceh, Indonesia.
C3 University of Saskatchewan; Foshan University; Henan University of
   Animal Husbandry & Economy; Universitas Syiah Kuala
RP Zhang, WX; Yu, PQ (corresponding author), Univ Saskatchewan, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada.
EM zhangwx126@126.com; peiqiang.yu@usask.ca
RI Deng, Hongyu/GYD-7918-2022; Feng, Xin/AAA-1938-2022; Zhang,
   Huihua/HJY-0843-2023; Yan, Ming/KDO-3503-2024; Lei, Yaogeng/P-4096-2014;
   Yang, wenzhu/AAZ-4989-2020; weixian, zhang/H-4046-2013
OI , Samadi/0000-0003-1669-2585; Lei, Yaogeng/0000-0002-7175-4542; weixian,
   zhang/0000-0002-0250-4013; Yan, Ming/0000-0003-3243-9571
FU U.S. Department of Energy; Government of Saskatchewan; Saskatchewan
   Pulse Growers (SPG); Natural Sciences and Engineering Research Council
   of Canada (NSERC); Canadian Feed Research Centre (CFRC); Crop
   Development Center (CDC); Rayner Dairy Research and Teaching Facility
   (RDRTF) of the University of Saskatchewan
FX The National Synchrotron Light Source in Brookhaven National Laboratory
   (NSLS-BNL, New York, USA) and Advanced Light Source in Berkeley National
   Laboratory (ALS-BNL) are supported by the U.S. Department of Energy. The
   authors are grateful to Lisa Miller for synchrotron beamtime support at
   ALS and NSLS, discussion and/or collaborations, and Randy Smith
   (NSLS-BNL, New York) and Hans Bechtel (ALS, Berkeley) for helpful
   synchrotron data collection at ALS and NSLS. A special acknowledgment to
   the following institutions for their financial support and resources:
   Government of Saskatchewan, the Saskatchewan Pulse Growers (SPG),
   Natural Sciences and Engineering Research Council of Canada (NSERC),
   Canadian Feed Research Centre (CFRC), the Crop Development Center (CDC),
   the Rayner Dairy Research and Teaching Facility (RDRTF) of the
   University of Saskatchewan. Thank you to Zhiyuan Niu (APS, University of
   Saskatchewan) and Bunyamin Tar'an and Brent Barlow (CDC, University of
   Saskatchewan).
CR [Anonymous], 2017, R: A language and environment for statistical computing
   [Anonymous], 2009, THESIS
   [Anonymous], 2005, Grain Legumes
   Basim R., 2018, THESIS
   Brunschwig P, 2002, 9TH MEETING ON RUMINANT RESEARCH, P316
   Butter N.L., 1999, SECONDARY PLANT PROD
   CALSAMIGLIA S, 1995, J ANIM SCI, V73, P1459
   Carbonaro M, 2012, AMINO ACIDS, V43, P911, DOI 10.1007/s00726-011-1151-4
   Crépon K, 2010, FIELD CROP RES, V115, P329, DOI 10.1016/j.fcr.2009.09.016
   Delmotte C., 2006, RENC RECH RUMINANTS
   Douglas L, 2013, ASIL STUD INT LEG TH, P44
   Duc G, 1997, FIELD CROP RES, V53, P99, DOI 10.1016/S0378-4290(97)00025-7
   Duc G, 1999, J AGR SCI-CAMBRIDGE, V133, P185, DOI 10.1017/S0021859699006905
   Espinosa M.J., 2018, THESIS
   Gargallo S, 2006, J ANIM SCI, V84, P2163, DOI 10.2527/jas.2004-704
   Gatta D, 2013, ARCH ANIM NUTR, V67, P235, DOI 10.1080/1745039X.2013.801137
   Grosjean F., 2001, Journees de la Recherche Porcine en France, V33, P205
   Grosjean F., 2000, Sciences & Techniques Avicoles, P17
   Growers, SASKATCHEWAN PULSE G
   Hell J, 2016, FOOD CONTROL, V60, P365, DOI 10.1016/j.foodcont.2015.08.003
   Lei YG, 2019, J SCI FOOD AGR, V99, P6850, DOI 10.1002/jsfa.9970
   Lestingi A, 2015, SMALL RUMINANT RES, V131, P2, DOI 10.1016/j.smallrumres.2015.07.003
   Martínez TF, 2004, J SCI FOOD AGR, V84, P1979, DOI 10.1002/jsfa.1907
   Nalle CL, 2010, J SCI FOOD AGR, V90, P1227, DOI 10.1002/jsfa.3953
   Naqvi K.H., 1984, INDIAN J HIST SCI, V19, P329
   Olaboro Al., 1981, ISOLATION EGG WEIGHT, P1074, DOI [10. 1002/jsfa.2740321106, DOI 10.1002/JSFA.2740321106]
   Oomah BD, 2011, J AGR FOOD CHEM, V59, P3763, DOI 10.1021/jf200338b
   ORSKOV ER, 1979, J AGR SCI-CAMBRIDGE, V92, P499, DOI 10.1017/S0021859600063048
   PAGNANO MW, 2004, INFRARED SPECTROSCOP, P221, DOI DOI 10.1097/01.BLO.0000148892.31464.81
   Samadi, 2018, TROP ANIM SCI J, V41, P121, DOI 10.5398/tasj.2018.41.2.121
   Singh A. K., 2013, African Journal of Agricultural Research, V8, P6634
   Sun BL, 2018, ANIM FEED SCI TECH, V235, P177, DOI 10.1016/j.anifeedsci.2017.11.014
   TAMMINGA S, 1994, LIVEST PROD SCI, V40, P139, DOI 10.1016/0301-6226(94)90043-4
   Vilarino M., 2004, Journees de la Recherche Porcine en France, V36, P211
   Vilariño M, 2009, ANIM FEED SCI TECH, V150, P114, DOI 10.1016/j.anifeedsci.2008.08.001
   Wang X, 2013, ADV COMPUT ELECTR EN, P1, DOI [10.4018/978-1-4666-2503-7, 10.1111/are.12176]
   WAREHAM CN, 1993, J AGR SCI-CAMBRIDGE, V121, P427, DOI 10.1017/S0021859600085622
   White GA, 2015, ANIM FEED SCI TECH, V209, P202, DOI 10.1016/j.anifeedsci.2015.08.005
   Yang L, 2017, CRIT REV FOOD SCI, V57, P224, DOI 10.1080/10408398.2013.876386
   Yu P, 2000, ANIM FEED SCI TECH, V86, P165, DOI 10.1016/S0377-8401(00)00171-1
   Yu P, 2004, BRIT J NUTR, V92, P869, DOI 10.1079/BJN20041298
   Yu PQ, 2005, J AGR FOOD CHEM, V53, P7115, DOI 10.1021/jf050959b
   Yu PQ, 2005, J SCI FOOD AGR, V85, P527, DOI 10.1002/jsfa.2015
NR 43
TC 3
Z9 3
U1 0
U2 10
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1386-1425
EI 1873-3557
J9 SPECTROCHIM ACTA A
JI Spectroc. Acta Pt. A-Molec. Biomolec. Spectr.
PD MAR 15
PY 2020
VL 229
AR 117935
DI 10.1016/j.saa.2019.117935
PG 9
WC Spectroscopy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Spectroscopy
GA KK8TA
UT WOS:000513007800097
PM 31951940
OA Bronze
DA 2025-01-10
ER

PT J
AU Núñez, APB
   Gutiérrez-Montes, I
   Hernández-Núñez, HE
   Suárez, DRG
   García, GAG
   Suárez, JC
   Casanoves, F
   Flora, C
   Sibelet, N
AF Nunez, Angie Paola Bernal
   Guterrez-Montes, Isabel
   Hernandez-Nunez, Hector Eduardo
   Suarez, David Ricardo Gutierrez
   Garcia, Gustavo Adolfo Gutierrez
   Suarez, Juan Carlos
   Casanoves, Fernando
   Flora, Cornelia
   Sibelet, Nicole
TI Diverse farmer livelihoods increase resilience to climate variability in
   southern Colombia
SO LAND USE POLICY
LA English
DT Article
DE Community capitals; Climate change; Cocoa; Coffee; Livestock;
   Agriculture; Farmers' strategies
ID CHANGE VULNERABILITY; ADAPTIVE CAPACITY; DECISION-MAKING; ADAPTATION;
   COCOA; COMMUNITIES; SYSTEMS; AGROFORESTRY; STRATEGIES; IMPACTS
AB Climate variability affects agricultural production systems and rural communities, generating risks to food se-curity and increasing rural poverty. Therefore, improving the capacity of rural households to adapt to climate variability has become one of the greatest challenges for international and national institutions. The objective of this study is to analyze the impact of rural households' livelihood strategies with regard to their vulnerability and adaptation to climate variability. We systematically selected 162 rural households from 10 municipalities in the department of Huila (Colombia). Households were grouped according to their livelihood strategies, using 13 variables representative of their productive characteristics. Subsequently, three indices related to climate vulnerability were determined: a. exposure (climate variability between 1990 and 2012), b. sensitivity, and c. adaptive capacity. For the latter two, the community capitals framework was used. Using the three indices above, the Intergovernmental Panel on Climate Change's proposed vulnerability index was determined. We found seven livelihood strategies: i. Cattlemen-Cocoa Farmers, ii. Livestock-Cocoa Farmers, iii. Employees-Cocoa Farmers, iv. Cocoa Farmers, v. Diversified Farmers, vi. Landlords-Cocoa Farmers and vii. Coffee Farmers. Degree of vulner-ability to climate variability was related to the livelihood strategy of rural households: those best endowed with capitals and with the most diverse livelihood strategies were the least vulnerable (Cattlemen-Cocoa Farmers and Livestock-Cocoa Farmers). While it is necessary to maintain a balance between capitals in the process of adapting to climate variability in rural households, at the community level it is essential to strengthen political capital, which will make it possible to construct and reinforce strategies for adapting to climate variability.
C1 [Nunez, Angie Paola Bernal; Hernandez-Nunez, Hector Eduardo; Garcia, Gustavo Adolfo Gutierrez; Suarez, Juan Carlos] Univ Amazonia, Fac Ingn, Programa Ingn Agroecol, Florencia, Caqueta, Colombia.
   [Guterrez-Montes, Isabel; Casanoves, Fernando] CATIE Ctr Agron Trop Invest & Ensenanza, Turrialba 30501, Costa Rica.
   [Hernandez-Nunez, Hector Eduardo; Garcia, Gustavo Adolfo Gutierrez; Suarez, Juan Carlos; Casanoves, Fernando] Univ Amazonia, Grp Invest Agroecosistemas & Conservac Bosques Am, Caqueta, Colombia.
   [Hernandez-Nunez, Hector Eduardo] Univ Tolima, Fac Ingn Agron, Ciencias Agr, Ibague, Colombia.
   [Suarez, David Ricardo Gutierrez] Univ Amazonia, Fac Ciencias Agr, Sistemas Sostenibles Prod, Caqueta, Colombia.
   [Flora, Cornelia] Iowa State Univ, Ames, IA 50011 USA.
   [Sibelet, Nicole] CIRAD, UMR Innovat, F-34398 Montpellier, France.
C3 Universidad del Tolima; Iowa State University; CIRAD
RP Hernández-Núñez, HE (corresponding author), Univ Amazonia, Fac Ingn, Programa Ingn Agroecol, Florencia, Caqueta, Colombia.
RI Casanoves, Fernando/I-3588-2016; Gutierrez- Montes, Isabel/O-4248-2016
OI Bernal Nunez, Angie Paola/0000-0002-8598-5341; GUTIERREZ SUAREZ, DAVID
   RICARDO/0000-0003-2399-0097; Gutierrez- Montes,
   Isabel/0000-0003-1547-7509; Sibelet, Nicole/0000-0002-2107-6376
CR Adaawen S, 2019, CURR DIR WATER SCARC, V2, P15, DOI 10.1016/B978-0-12-814820-4.00002-X
   Adger WN, 2000, ANN ASSOC AM GEOGR, V90, P738, DOI 10.1111/0004-5608.00220
   Adger WN, 2005, CR GEOSCI, V337, P399, DOI 10.1016/j.crte.2004.11.004
   Adhikari U, 2015, FOOD ENERGY SECUR, V4, P110, DOI 10.1002/fes3.61
   AGRONET, 2020, Evaluaciones agropecuarias del Ministerio de Agricultura y Desarrollo Rural
   Ahmed MT, 2014, J WATER CLIM CHANGE, V5, P287, DOI 10.2166/wcc.2014.006
   Ahmed Z, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105295
   Al-Amin AKMA, 2019, CLIMATIC CHANGE, V156, P545, DOI 10.1007/s10584-019-02511-9
   Alam R, 2007, BIODIVERSITY ECONOMICS, P246
   Angulo R., 2019, MED POBREZA MULTIDIM
   Arteaga N Luis Enrique, 2018, Rev. Cienc. Agr., V35, P79, DOI 10.22267/rcia.183502.93
   Aryal S, 2014, CLIMATIC CHANGE, V125, P193, DOI 10.1007/s10584-014-1157-5
   Asante WA, 2017, LAND USE POLICY, V66, P374, DOI 10.1016/j.landusepol.2017.05.010
   Asigbaase M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0210557
   Baena-Rojas José Jaime, 2019, Rev.econ.inst., V21, P51, DOI 10.18601/01245996.v21n41.03
   Balzarini M.G., 2008, Infostat Manual del Usuario
   Bandanaa J., 2016, AGR FOOD SECUR, DOI [10.1186/s40066-016-0077-1, DOI 10.1186/S40066-016-0077-1]
   Beyene AD, 2019, FOR TREES LIVELIHOOD, V28, P194, DOI 10.1080/14728028.2019.1620137
   Boda CS, 2019, CLIMATIC CHANGE, V157, P631, DOI 10.1007/s10584-019-02611-6
   Bouroncle C, 2015, AGR COSTA RICA CAMBI
   Brussow K, 2019, CLIMATIC CHANGE, V157, P545, DOI 10.1007/s10584-019-02581-9
   Buitrago-Guillen María Eugenia, 2018, Bol. Cient. Mus. Hist. Nat. Univ. Caldas, V22, P31
   CAM, 2011, PLAN GEST AMB REG DE
   Castan~o N.E., 2014, CONTEXTO REV INVEST, P91
   Cerda R, 2014, AGROFOREST SYST, V88, P957, DOI 10.1007/s10457-014-9691-8
   Chaudhury AS, 2017, J RURAL STUD, V53, P214, DOI 10.1016/j.jrurstud.2017.05.010
   Chriest A, 2018, J RURAL STUD, V64, P80, DOI 10.1016/j.jrurstud.2018.09.019
   DaMatta FM, 2004, FIELD CROP RES, V86, P99, DOI 10.1016/j.fcr.2003.09.001
   DANE, 2021, CUENT NAC DEP PROD I
   DFID, 1999, Sustainable livelihood guidance sheets
   Di Rienzo J., 2017, MODELOS LINEALES GEN
   Di Rienzo J, 2019, INFOSTAT VERSION 201
   Hernández-Núñez HE, 2022, AGR HUM VALUES, V39, P201, DOI 10.1007/s10460-021-10240-y
   Emery M, 2006, COMMUNITY DEV, V37, P19, DOI 10.1080/15575330609490152
   Espinosa J.A., 2016, Caracteristicas estructurales y funcionales de un faro agroecologico a partir de las experiencias de productores cacaoteros de las regiones de los departamentos de Narino, Meta, Caqueta y Tolima
   Fahad S, 2018, LAND USE POLICY, V75, P459, DOI 10.1016/j.landusepol.2018.04.016
   FAO, 2018, PAN POBR RUR AM LAT, P112
   FAO ADR, 2019, PLAN DES AGR RUR CON
   Fierros I., 2017, Problemas Del Desarrollo, V48, P107, DOI [DOI 10.22201/IIEC.20078951E.2017.191.58747, DOI 10.1016/J.RPD.2017.11.006]
   Flora C.B., 2004, Rural communities: Legacy and change, V2nd
   Ford JD, 2010, WIRES CLIM CHANGE, V1, P374, DOI 10.1002/wcc.48
   Gáfaro M, 2022, J INT ECON, V137, DOI 10.1016/j.jinteco.2022.103598
   Garcia J., 2007, EVALUACION EDAFOCLIM
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   Gebru G., 2018, J Agri Food Sec, V7, P1, DOI [DOI 10.1186/S40066-018-0214-0, 10.1186/s40066-018-0214-0]
   Ghini R, 2011, PLANT PATHOL, V60, P122, DOI 10.1111/j.1365-3059.2010.02403.x
   Gomes LC, 2020, AGR ECOSYST ENVIRON, V294, DOI 10.1016/j.agee.2020.106858
   García GAG, 2020, J RURAL STUD, V75, P119, DOI 10.1016/j.jrurstud.2020.01.012
   Gutierrez-Montes Isabel., 2005, HLTH COMMUNITIES EQU
   Hannah L, 2017, CLIMATIC CHANGE, V141, P29, DOI 10.1007/s10584-016-1867-y
   Huila Ad, 2020, PROYECTO ORDENANZA C
   Huila Gd, 2014, PLAN CAMBIO CLIMATIC
   IDEAM, 2017, ATL CLIM COL
   IDEAM, 2011, EST NAC AG OF IND HI
   IDEAM PNUD, 2017, RES EJ TERC COM NAC
   IDEAM PNUD, 2015, NUEV ESC CAMB CLIM C
   IICA, 2005, CONV COOP TECN EC CE
   Imbach A.C., 2016, ESTRATEGIAS VIDA ANA
   Jacobi J, 2015, RENEW AGR FOOD SYST, V30, P170, DOI 10.1017/S174217051300029X
   Jaimes Yeirme, 2011, Agron. colomb., V29, P361
   Jamshidi O, 2019, CLIM RISK MANAG, V23, P146, DOI 10.1016/j.crm.2018.06.002
   Jaramillo J, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006487
   Kais SM, 2018, AQUACULTURE, V493, P406, DOI 10.1016/j.aquaculture.2017.05.024
   Kay Cristóbal, 2009, Rev. Mex. Sociol, V71, P607
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Keshavarz M, 2021, J ARID ENVIRON, V184, DOI 10.1016/j.jaridenv.2020.104323
   Keshavarz M, 2017, INT J DISAST RISK RE, V21, P223, DOI 10.1016/j.ijdrr.2016.12.012
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Knickel K, 2018, J RURAL STUD, V59, P197, DOI 10.1016/j.jrurstud.2017.04.012
   Kosoe EA, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100289
   Kuosmanen T, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104681
   Kuruppu N, 2009, ENVIRON SCI POLICY, V12, P799, DOI 10.1016/j.envsci.2009.07.005
   Lachapelle P.R, 2020, COMMUNITY CAPACITY R
   Lopez A.J., 2016, TRIMEST EC, V83
   Louman B, 2016, CIENC ERGO-SUM, V23, P58
   Lu WC, 2020, ECOL INDIC, V115, DOI 10.1016/j.ecolind.2020.106414
   Martin SM, 2016, WORLD DEV, V83, P231, DOI 10.1016/j.worlddev.2016.01.018
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   Melvani K, 2020, SCI TOTAL ENVIRON, V739, DOI 10.1016/j.scitotenv.2020.139120
   Menike LMCS, 2016, PROC FOOD SCI, V6, P288, DOI 10.1016/j.profoo.2016.02.057
   Morand P, 2012, CLIMATIC CHANGE, V115, P463, DOI 10.1007/s10584-012-0492-7
   Musinguzi P, 2018, FOREST POLICY ECON, V97, P132, DOI 10.1016/j.forpol.2018.09.010
   Neef A, 2018, WORLD DEV, V107, P125, DOI 10.1016/j.worlddev.2018.02.029
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nijmeijer A, 2019, AGROFOREST SYST, V93, P851, DOI 10.1007/s10457-017-0182-6
   Nyairo R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104296
   Pachauri R.K., 2007, Cambio climatico 2007: Informe de sintesis. Contribucion de los Grupos de trabajo I, II y III al Cuarto Informe de evaluacion del Grupo Intergubernamental de Expertos sobre el Cambio Climatico
   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
   Patino S., 2018, Revista de Investigacion Agraria y Ambiental, V9, P121
   Perez E., 2002, Cuadernos de desarrollo rural, V48, P36
   Perez E., 2004, Nomadas (Col), V20, P180
   Qazlbash SK, 2021, ENVIRON DEV, V37, DOI 10.1016/j.envdev.2020.100603
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Ramirez C., 2011, ECONOGRAFO, V4
   Ramirez J., 2019, Escalafon de la competitividad de los departamentos de Colombia 2019
   Reed M.S., 2013, ECOLOGY
   Rios S., 2011, RECUR NAT AMBIENT, P21
   Roa S., 2017, CRECER EMPRESA J MAN, P86
   Salcedo C., 2016, CIENC POLITICA, V11, P161, DOI 10.15446/cp.v11n21.60293
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Sibelet N., 2013, Online Learning Modules
   Sierra CA, 2017, ENVIRON SCI POLICY, V76, P40, DOI 10.1016/j.envsci.2017.06.011
   Smit B., 2003, Adaptation to climate change in the context of sustainable development and equity
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Suárez AE, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0245971
   Sylvester J, 2020, J NAT CONSERV, V58, DOI 10.1016/j.jnc.2020.125921
   Tang KHD, 2019, SCI TOTAL ENVIRON, V650, P1858, DOI 10.1016/j.scitotenv.2018.09.316
   Tian Q, 2018, WORLD DEV, V108, P321, DOI 10.1016/j.worlddev.2017.10.019
   Tittonell P, 2014, AGR SYST, V126, P3, DOI 10.1016/j.agsy.2013.10.010
   Tuesta Hidalgo Oscar, 2014, Ecol. apl., V13, P71
   Uleberg E, 2014, CLIMATIC CHANGE, V122, P27, DOI 10.1007/s10584-013-0983-1
   UPRA, 2017, PLAN ORD PROD SOC PR
   USAID U.S.D.A., 2016, GLOBAL AGR INFORM NE
   Vaast P, 2014, AGROFOREST SYST, V88, P947, DOI 10.1007/s10457-014-9762-x
   Waldman KB, 2019, CLIMATIC CHANGE, V156, P527, DOI 10.1007/s10584-019-02498-3
   Wang CC, 2016, ECOL INDIC, V64, P123, DOI 10.1016/j.ecolind.2015.12.036
   Wartenberg AC, 2017, AGR ECOSYST ENVIRON, V248, P190, DOI 10.1016/j.agee.2017.07.033
   Zabala F.A., 2019, BIODIVERS EN PRACTIC, V4, P51
NR 119
TC 7
Z9 7
U1 21
U2 62
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 AUG
PY 2023
VL 131
AR 106731
DI 10.1016/j.landusepol.2023.106731
EA MAY 2023
PG 13
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA J4KC8
UT WOS:001009308800001
DA 2025-01-10
ER

PT J
AU Yang, GY
   Yu, ZW
   Jorgensen, G
   Vejre, H
AF Yang, Gaoyuan
   Yu, Zhaowu
   Jorgensen, Gertrud
   Vejre, Henrik
TI How can urban blue-green space be planned for climate adaption in
   high-latitude cities? A seasonal perspective
SO SUSTAINABLE CITIES AND SOCIETY
LA English
DT Article
DE Seasonal pattern; Urban blue-green space; Urban cooling effect;
   Threshold value of efficiency; Climate adaptation; Urban sustainability
ID LAND-SURFACE TEMPERATURE; LOCAL BACKGROUND CLIMATE; HEAT-ISLAND;
   MITIGATION TECHNOLOGIES; RAPID URBANIZATION; DYNAMICS; IMPACT;
   INFRASTRUCTURE; ENVIRONMENT; RETRIEVAL
AB Climate change has increased the frequency of extreme climatic events and the intensity of heatwaves in high-latitude cities that have rarely been affected in the past, yet there is less attention to these regions. Therefore, we selected Copenhagen as the case, we used spatial/statistical methods to assess the cooling-effect of blue-green spaces in different seasons. We found (1) land surface temperature (LST) is negatively correlated with Normalized Difference Vegetation Index (NDVI) and Modified Normalized Difference Water Index (MNDWI) in all seasons; (2) Tree-covered greenspace with a compact shape would be a priority for climate adaption in high-latitude cities. While when the area of blue-green space is large to a certain extent ( > 1 ha), the complex shape also has a strong cooling-effect. Further, the area and cooling extent and intensity conform a logarithm function with significant correlations except for winter. (3) Compared with other seasons, blue-green space provides a higher cooling-effect in summer, and the mean cooling extent and intensity are 150 m and 2.47 degrees C; (4) Background temperature can significantly affect the threshold value of efficiency (TVoE). The results of this study expand the understanding of the cooling-effect of blue-green spaces and provide implications for sustainable urban planning.
C1 [Yang, Gaoyuan; Yu, Zhaowu; Jorgensen, Gertrud; Vejre, Henrik] Univ Copenhagen, Fac Sci, Dept Geosci & Nat Resource Management, DK-1958 Copenhagen, Denmark.
   [Yu, Zhaowu] Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai, Peoples R China.
   [Yu, Zhaowu] Xiamen Univ, Minist Educ, Key Lab Coastal & Wetland Ecosyst, Xiamen, Peoples R China.
C3 University of Copenhagen; Xiamen University
RP Yu, ZW (corresponding author), Univ Copenhagen, Fac Sci, Dept Geosci & Nat Resource Management, DK-1958 Copenhagen, Denmark.; Yu, ZW (corresponding author), Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai, Peoples R China.; Yu, ZW (corresponding author), Xiamen Univ, Minist Educ, Key Lab Coastal & Wetland Ecosyst, Xiamen, Peoples R China.
EM gaya@ign.ku.dk; zhyu@ign.ku.dk; gej@ign.ku.dk; hv@ign.ku.dk
RI Gaoyuan, Yang/HKO-4087-2023; Vejre, Henrik/P-7142-2014; Jorgensen,
   Gertrud/B-1396-2015; Yu, Zhaowu/E-8032-2016
OI Yang, Gaoyuan/0000-0001-9735-6529; Vejre, Henrik/0000-0002-6820-0389;
   Jorgensen, Gertrud/0000-0003-3987-3098; Yu, Zhaowu/0000-0003-4576-4541
FU Open Foundation of the State Key Laboratory of Urban and Regional
   Ecology of China [SKLURE2019-2-6]; Shanghai Key Lab for Urban Ecological
   Processes and Eco-Restoration [SHUES2019A01]; China Scholarship Council
   [201504910797]; Natural Science Foundation of China [41471150]
FX This work was financially supported by Open Foundation of the State Key
   Laboratory of Urban and Regional Ecology of China (grant no.
   SKLURE2019-2-6); Shanghai Key Lab for Urban Ecological Processes and
   Eco-Restoration (grant no. SHUES2019A01); WEL Visiting Fellowship
   Program; China Scholarship Council (grant no. 201504910797); and Natural
   Science Foundation of China (no. 41471150).
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
   [Anonymous], 2015, The impact of green space on heat and air pollution in urban communities: A meta-narrative systematic review
   [Anonymous], 2002, BOUNDARY LAYER CLIMA, DOI DOI 10.4324/9780203407219
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Byrne J, 2009, AUST PLAN, V46, P35, DOI 10.1080/07293682.2009.10753420
   Carvalho D, 2017, URBAN CLIM, V19, P1, DOI 10.1016/j.uclim.2016.11.005
   Chandrasekhar S., 2013, RAD TRANSFER
   Coumou D, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034018
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Du HY, 2016, ECOL INDIC, V67, P31, DOI 10.1016/j.ecolind.2016.02.040
   Estoque RC, 2017, SCI TOTAL ENVIRON, V577, P349, DOI 10.1016/j.scitotenv.2016.10.195
   Fan HY, 2019, AGR FOREST METEOROL, V265, P338, DOI 10.1016/j.agrformet.2018.11.027
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Forman RTT, 2014, URBAN ECOLOGY: SCIENCE OF CITIES, P1
   Forman RTT, 2016, LANDSCAPE ECOL, V31, P1653, DOI 10.1007/s10980-016-0424-4
   Gao J, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105579
   Gilbert H, 2016, ENERG BUILDINGS, V114, P20, DOI 10.1016/j.enbuild.2015.06.023
   Gunawardena KR, 2017, SCI TOTAL ENVIRON, V584, P1040, DOI 10.1016/j.scitotenv.2017.01.158
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   Hathway EA, 2012, BUILD ENVIRON, V58, P14, DOI 10.1016/j.buildenv.2012.06.013
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jiménez-Muñoz JC, 2014, IEEE GEOSCI REMOTE S, V11, P1840, DOI 10.1109/LGRS.2014.2312032
   Kuang WH, 2015, LANDSCAPE ECOL, V30, P357, DOI 10.1007/s10980-014-0128-6
   Lee D., 2016, Int. J. Environ. Sci. Dev, V7, P810, DOI [DOI 10.18178/IJESD.2016.7.11.886, 10.18178/ijesd.2016.7.11.886]
   Li XX, 2017, LANDSCAPE URBAN PLAN, V163, P107, DOI 10.1016/j.landurbplan.2017.02.009
   Lin WQ, 2015, LANDSCAPE URBAN PLAN, V134, P66, DOI 10.1016/j.landurbplan.2014.10.012
   Manoli G, 2019, NATURE, V573, P55, DOI 10.1038/s41586-019-1512-9
   Martins TAL, 2016, SUSTAIN CITIES SOC, V26, P9, DOI 10.1016/j.scs.2016.05.003
   McDonald R., 2016, Nature Conservancy, V1, P1
   Mikami T, 2009, 7 INT C URB CLIM YOK
   Montazeri H, 2017, LANDSCAPE URBAN PLAN, V159, P85, DOI 10.1016/j.landurbplan.2016.10.001
   NEMANI RR, 1989, J APPL METEOROL, V28, P276, DOI 10.1175/1520-0450(1989)028<0276:EORSRT>2.0.CO;2
   O'Malley C, 2015, SUSTAIN CITIES SOC, V19, P222, DOI 10.1016/j.scs.2015.05.009
   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
   Ren Y, 2016, ENVIRON POLLUT, V216, P519, DOI 10.1016/j.envpol.2016.06.004
   Ren ZB, 2018, URBAN ECOSYST, V21, P863, DOI 10.1007/s11252-018-0776-4
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Santamouris M, 2018, J CIV ENG MANAG, V24, P638, DOI 10.3846/jcem.2018.6604
   Schwarz N, 2012, ECOL INDIC, V18, P693, DOI 10.1016/j.ecolind.2012.01.001
   Shiflett SA, 2017, SCI TOTAL ENVIRON, V579, P495, DOI 10.1016/j.scitotenv.2016.11.069
   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
   Voogt JA, 2003, REMOTE SENS ENVIRON, V86, P370, DOI 10.1016/S0034-4257(03)00079-8
   Wang YF, 2014, BUILD ENVIRON, V77, P88, DOI 10.1016/j.buildenv.2014.03.021
   Ward K, 2016, SCI TOTAL ENVIRON, V569, P527, DOI 10.1016/j.scitotenv.2016.06.119
   Xia JY, 2014, NAT GEOSCI, V7, P173, DOI [10.1038/NGEO2093, 10.1038/ngeo2093]
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Yu XL, 2014, REMOTE SENS-BASEL, V6, P9829, DOI 10.3390/rs6109829
   Yu Zhao-wu, 2015, Yingyong Shengtai Xuebao, V26, P636
   Yu ZW, 2019, FOREST ECOL MANAG, V446, P214, DOI 10.1016/j.foreco.2019.05.046
   Yu ZW, 2019, SCI TOTAL ENVIRON, V674, P242, DOI 10.1016/j.scitotenv.2019.04.088
   Yu ZW, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-25296-w
   Yu ZW, 2018, URBAN FOR URBAN GREE, V29, P113, DOI 10.1016/j.ufug.2017.11.008
   Yu ZW, 2017, ECOL INDIC, V82, P152, DOI 10.1016/j.ecolind.2017.07.002
   Zhang YJ, 2017, LANDSCAPE URBAN PLAN, V165, P162, DOI 10.1016/j.landurbplan.2017.04.009
   Zhao L, 2014, NATURE, V511, P216, DOI 10.1038/nature13462
   Zhou WQ, 2017, REMOTE SENS ENVIRON, V195, P1, DOI 10.1016/j.rse.2017.03.043
NR 61
TC 200
Z9 205
U1 101
U2 710
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 FEB
PY 2020
VL 53
AR 101932
DI 10.1016/j.scs.2019.101932
PG 11
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Energy & Fuels
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Energy & Fuels
GA KE2AT
UT WOS:000508361800045
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Thia-Eng, C
   Loke-Ming, C
   Bonga, D
AF Thia-Eng, Chua
   Loke-Ming, Chou
   Bonga, Danilo
TI Scaling up Integrative Collaborative Governance towards Sustainable
   Coastal Development: Contributions of the Integrated Coastal Management
   System in the East Asian Seas Region
SO OCEAN YEARBOOK
LA English
DT Article
ID CLIMATE ADAPTATION; IMPLEMENTATION; BARRIERS; PROGRESS
C1 [Thia-Eng, Chua] East Asian Seas Partnership Council, Quezon City, Philippines.
   [Thia-Eng, Chua; Bonga, Danilo] Partnerships Environm Management Seas East Asia P, Quezon City, Philippines.
   [Loke-Ming, Chou] Natl Univ Singapore, Dept Biol Sci, Singapore, Singapore.
C3 National University of Singapore
RP Thia-Eng, C (corresponding author), East Asian Seas Partnership Council, Quezon City, Philippines.; Thia-Eng, C (corresponding author), Partnerships Environm Management Seas East Asia P, Quezon City, Philippines.
CR [Anonymous], EV INT COAST ZON MAN
   [Anonymous], ROUTIEDGE HDB NATL R
   [Anonymous], 1996, GES REP STUD
   [Anonymous], ICLARM C P
   [Anonymous], ENV SUSTAINABLE DEV
   [Anonymous], INCR CAP STEW OC COA
   [Anonymous], 2002, POL OP FRAM INT MAN
   [Anonymous], 2012, COMMUNICATION    APR
   Ballinger R, 2010, OCEAN COAST MANAGE, V53, P738, DOI 10.1016/j.ocecoaman.2010.10.013
   Beinecke R.H., 2009, Innovation Journal, V14, P1
   Boiral O, 2009, J BUS ETHICS, V85, P479, DOI 10.1007/s10551-008-9784-2
   Bonga D., 2014, TROPICAL COASTS, V18, P30
   Bonga D., 2019, LEADERSHIP LEADER DE
   Bremer S., 2011, THESIS
   Chua T.-E., 2015, E AS SEAS C NOV 16 2
   Chua T.-E., 2008, SECURING OCEANS ESSA, P597
   Chua T. E., 2006, DYNAMICS INTEGRATED
   Chua T.E., 1993, OCEAN COAST MANAGE, V21, P81, DOI DOI 10.1016/0964-5691(93)90021-P
   Chua T.-E., 2008, SECURING OCEANS ESSA, P371
   Chua TE, 1998, AMBIO, V27, P599
   Chua TE, 2013, COAST MANAGE, V41, P99, DOI 10.1080/08920753.2013.768517
   Cicin-Sain B., 1998, INTEGRATED COASTAL O
   Clark J. R., 1992, FAO FISHERIES TECHNI
   Clark J.R., 1996, COASTAL ZONE MANAGEM, V1st
   Cormier R, 2017, ICES J MAR SCI, V74, P406, DOI 10.1093/icesjms/fsw181
   Danks J, 2015, W VARIED CROWD STORI
   Doppelt B, 2010, LEADING CHANGE TOWARD SUSTAINABILITY: A CHANGE-MANAGEMENT GUIDE FOR BUSINESS, GOVERNMENT AND CIVIL SOCIETY, 2ND EDITION, P1
   Drath W.H., 2003, Leadership in action, V23, P3
   Gonzales AT, 2019, DEEP-SEA RES PT II, V163, P108, DOI 10.1016/j.dsr2.2019.05.014
   Klumb-Oliveira Leonardo Azevedo, 2015, RGCI, V15, P311, DOI 10.5894/rgci531
   Kojima H, 2013, OCEAN COAST MANAGE, V81, P66, DOI 10.1016/j.ocecoaman.2012.07.020
   NRMMC (National Resource Management Ministerial Council), 2006, NAT COOP APPR INT CO
   ofb (Ocean and Fisheries Bureau) of Dongying Municipality, 2010, STAT COASTS REP DONG
   Olsen S.B., 1997, MANUAL ASSESSING PRO
   Olsen S.B., 1997, OCEAN COAST MANAGE, V37, P93
   Olsen SB, 2002, COAST MANAGE, V30, P325, DOI 10.1080/089207502900309
   Olsen SB, 2010, COAST MANAGE, V38, P262, DOI 10.1080/08920753.2010.483165
   PEMSEA, 2015, SUST DEV STRAT SEAS
   pemsea, 2006, 17 PEMSEA
   pemsea, 2006, 18 PEMSEA
   pemsea, 2012, REG REV IMPL SUST DE
   pemsea and Provincial Government of Guimaras the Philippines, 2018, 2 STAT COASTS GUIM P
   PEMSEA (Partnerships in Environmental Management for the Seas of East Asia), 2015, REG REV IMPL SUST DE
   PEMSEA (Partnerships in Environmental Management for the Seas of East Asia), 2011, GUID STAT COASTS REP
   Pernetta J., 1993, CROSS SECTORAL INTEG
   PG-Batangas and pemsea (Provincial Government of Batangas and Partnership in Environmental Management for the Seas of East Asia), 2008, STAT COASTS BAT PROV
   PG-Guimaras and pemsea (Provincial Government of Guimaras and Partnership in Environmental Management for the Seas of East Asia), 2012, STAT COASTS GUIM PRO
   Ricketts P, 2007, COAST MANAGE, V35, P5, DOI 10.1080/08920750600970545
   Ross S.A., 2012, CATALYZING OCEAN FIN, Vii, P42
   Runhaar H, 2016, ENVIRON IMPACT ASSES, V59, P1, DOI 10.1016/j.eiar.2016.03.003
   Schoon M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030679
   Secretariat of the Convention on Biological Diversity, 2015, CBD TECHNICAL SERIES, V76
   Serrao-Neumann S, 2016, MAR POLICY, V65, P56, DOI 10.1016/j.marpol.2015.12.007
   SORENSEN J, 1993, OCEAN COAST MANAGE, V21, P45, DOI 10.1016/0964-5691(93)90020-Y
   Sorensen J, 1997, COAST MANAGE, V25, P3, DOI 10.1080/08920759709362308
   Sowman M, 2018, AFR J MAR SCI, V40, P121, DOI 10.2989/1814232X.2018.1468278
   Sudiarta I.K., 2018, LOCAL CONTRIBUTIONS, P297
   Taljaard S, 2011, COAST MANAGE, V39, P628, DOI 10.1080/08920753.2011.616670
   Uittenbroek CJ, 2016, J ENVIRON POL PLAN, V18, P161, DOI 10.1080/1523908X.2015.1065717
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   undp, 2014, BIOD SUST DEV DEL RE
   unep/gpa (United Nations Environmental Programme and Global Programme of Action for the Protection of Marine Environment from Land-based Pollution), 2006, PROT COAST MAR ENV L
NR 63
TC 1
Z9 1
U1 0
U2 5
PU BRILL
PI LEIDEN
PA PLANTIJNSTRAAT 2, P O BOX 9000, 2300 PA LEIDEN, NETHERLANDS
SN 0191-8575
EI 2211-6001
J9 OCEAN YEARB
JI Ocean Yearb.
PD JUN
PY 2020
VL 34
IS 1
BP 191
EP 230
DI 10.1163/9789004426214_009
PG 40
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA LY6AY
UT WOS:000540611300008
DA 2025-01-10
ER

PT C
AU De Noia, I
   Rossetti, S
AF De Noia, Ilaria
   Rossetti, Silvia
BE Marucci, A
   Zullo, F
   Fiorini, L
   Saganeiti, L
TI Participation for Everyone: Young People's Involvement in the Shift
   Towards Happier and More Resilient Cities
SO INNOVATION IN URBAN AND REGIONAL PLANNING, VOL 2, INPUT 2023
SE Lecture Notes in Civil Engineering
LA English
DT Proceedings Paper
CT 12th International Conference on Innovation in Urban and Regional
   Planning (INPUT)
CY SEP 06-08, 2023
CL Univ LAquila, ITALY
HO Univ LAquila
DE Participation; Laboratories; Urban Questionnaires; Urban Climate
   Adaptation; Young People's Involvement; Urban Planning
ID CHANGE ADAPTATION; CLIMATE-CHANGE; TOP-DOWN
AB Citizens' engagement and empowerment in urban climate adaptation scenarios have been increasingly gaining attention: the shift towards communities' involvement in the traditional top-down planning processes reveals a spreading acknowledgment of the necessity to focus on people's needs and wellbeing for more resilient and happier cities, in accordance with goal 3 and goal 11 of the 2030 Agenda for Sustainable Development.
   In this context, the Climate Transition Strategy (STC) of Brescia focuses a whole set of actions on the participation of citizens of all ages; among the "Citizens' involvement and communication" actions, Action 7.2.5 envisions the setup of climate adaptation-related experiences by the Science Centre AmbienteParco.
   A package of laboratories for middle schoolers is currently being developed in collaboration with the University of Parma and has been an opportunity to test their sensitiveness and responsiveness about climate change and its related countermeasures in urban planning (both with ad hoc surveys and direct observations), thus recognizing young people's role as holders of knowledge and as the adults of tomorrow.
   This contribution presents the outcomes of the first test-stage of the project, which can be intended as an applied research experience, carried out within the Afterschool Program of AmbienteParco. Laboratories appear to have been effective in raising awareness about both the STC and climate adaptation, and students have shown to be sensitive and responsive to these topics. This experience has demonstrated that young people can represent not only indicators, but also stakeholders in the shift towards a Happy and Resilient City.
C1 [De Noia, Ilaria; Rossetti, Silvia] Univ Parma, Dept Engn & Architecture, Parco Area Sci 181-A, I-43124 Parma, Italy.
C3 University of Parma
RP De Noia, I (corresponding author), Univ Parma, Dept Engn & Architecture, Parco Area Sci 181-A, I-43124 Parma, Italy.
EM ilaria.denoia@unipr.it
RI Rossetti, Silvia/AAD-7494-2019
OI De Noia, Ilaria/0000-0002-4496-0877
FU National Operational Programme on Research and Innovation 2014-2020 [CCI
   2014IT16M2OP005]; FSE REACT-EU funds [CUP: D91B21004730007, DOT1321814,
   6]
FX I.D.N.'s PhD programme is funded by the National Operational Programme
   on Research and Innovation 2014-2020 (CCI 2014IT16M2OP005), FSE REACT-EU
   funds, Action IV.4 "PhD programmes and research contracts on innovation"
   and Action IV.5 "PhD programmes on green related topics". CUP:
   D91B21004730007; scholarship code and number: DOT1321814 n. 6.
CR [Anonymous], SCI BUDDIES
   [Anonymous], Agriculture in the Classroom-Utah State University Cooperative Extension
   [Anonymous], Breve prontuario di co-pogettazione
   [Anonymous], US
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Biesbroek GR, 2009, HABITAT INT, V33, P230, DOI 10.1016/j.habitatint.2008.10.001
   Carra M, 2018, J PLACE MANAG DEV, V11, P242, DOI 10.1108/JPMD-06-2017-0046
   Ceci M., 2023, UPLanD - Journal of Urban Planning, Landscape & Environmental Design, V7, P5
   Comune di Brescia, 2021, Delibera di Consiglio Comunale
   Garau C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10030575
   Girard C, 2015, GLOBAL ENVIRON CHANG, V34, P132, DOI 10.1016/j.gloenvcha.2015.07.002
   Haynes K, 2015, CHILD GEOGR, V13, P357, DOI 10.1080/14733285.2013.848599
   Mouratidis K, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103229
   NationalBuildingMuseum, About us
   Oliver KG, 2006, ADV MENT HEALTH, V5, P34, DOI 10.5172/jamh.5.1.34
   Pissourios IA, 2014, EUR SPAT RES POLICY, V21, P83, DOI 10.2478/esrp-2014-0007
   Schröter B, 2023, SCI TOTAL ENVIRON, V872, DOI 10.1016/j.scitotenv.2023.162195
   SIMON D, 1987, THIRD WORLD PLAN REV, V9, P289
   Winge Lauraet., 2019, Cities Health, V3, P99, DOI [10.1080/23748834.2019.1604931, DOI 10.1080/23748834.2019.1604931]
   Xu ZW, 2012, INT J ENV RES PUB HE, V9, P3298, DOI 10.3390/ijerph9093298
NR 20
TC 0
Z9 0
U1 0
U2 0
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 2366-2557
EI 2366-2565
BN 978-3-031-54098-1; 978-3-031-54096-7; 978-3-031-54095-0
J9 LECT NOTES CIVIL ENG
PY 2024
VL 463
BP 515
EP 525
DI 10.1007/978-3-031-54096-7_45
PG 11
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies; Regional & Urban Planning; Urban Studies
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Public Administration; Urban Studies
GA BX2LD
UT WOS:001264250100045
DA 2025-01-10
ER

PT J
AU Maddux, SD
   Butaric, LN
   Yokley, TR
   Franciscus, RG
AF Maddux, Scott D.
   Butaric, Lauren N.
   Yokley, Todd R.
   Franciscus, Robert G.
TI Ecogeographic variation across morphofunctional units of the human nose
SO AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
LA English
DT Article
DE air conditioning; climatic adaptation; human evolution; respiration;
   thermoregulation
ID BASAL METABOLIC-RATE; AIR-FLOW; NASAL CAVITY; POPULATION HISTORY;
   SEXUAL-DIMORPHISM; GEOGRAPHIC-VARIATION; NATURAL-SELECTION; FACIAL
   SKELETON; CRANIAL AIRWAYS; HEAT-EXCHANGE
AB ObjectivesAlthough the internal nose is overwhelmingly responsible for heat and moisture exchange during respiration, external nasal morphology is more commonly cited as evincing climatic adaptation in humans. Here, we assess variation across all four morphofunctional units of the complete nasorespiratory tract (external pyramid, nasal aperture, internal nasal fossa, and nasopharynx) to determine which units provide the strongest evidence of climatic adaptation.
   Materials and MethodsWe employ 20 linear measurements collected on 837 modern human crania from major geographic (Arctic Circle, Asia, Australia, Europe, Africa) and climatic (polar, temperate, hot-arid, tropical) zones. In conjunction with associated climatic and geographic data, these morphological data are employed in multivariate analyses to evaluate the associations between each of these functional nasal units and climate.
   ResultsThe external pyramid and nasopharynx exhibit virtually no evidence of climate-mediated morphology across the regional samples, while apparent associations between climate and nasal aperture morphology appear influenced by the geographic (and likely genetic) proximities of certain populations. Only the internal nasal fossa exhibits an ecogeographic distribution consistent with climatic adaptation, with crania from colder and/or drier environments displaying internal nasal fossae that are longer, taller, and narrower (especially superiorly) compared to those from hotter and more humid environments.
   ConclusionsOur study indicates that the internal nasal fossa exhibits a stronger association with climate compared to other aspects of the human nose. Further, our study supports suggestions that regional variation in internal nasal fossa morphology reflects demands for heat and moisture exchange via adjustment of internal nasal airway dimensions. Our study thus provides empirical support for theoretical assertions related to nasorespiratory function, with important implications for understanding human nasal evolution.
C1 [Maddux, Scott D.] Univ North Texas, Ctr Anat Sci, Hlth Sci Ctr, 3500 Camp Bowie Blvd, Ft Worth, TX 76107 USA.
   [Maddux, Scott D.] Univ Missouri, Dept Pathol & Anat Sci, M263 Med Sci Bldg, Columbia, MO 65212 USA.
   [Butaric, Lauren N.] Des Moines Univ, Dept Anat, 3200 Grand Ave, Des Moines, IA 50312 USA.
   [Yokley, Todd R.] Metropolitan State Univ Denver, Dept Sociol & Anthropol, Campus Box 28,POB 173362, Denver, CO 80217 USA.
   [Franciscus, Robert G.] Univ Iowa, Dept Anthropol, 114 Macbride Hall, Iowa City, IA 52242 USA.
   [Franciscus, Robert G.] Univ Iowa, Dept Orthodont, 114 Macbride Hall, Iowa City, IA 52242 USA.
C3 University of North Texas System; University of North Texas Denton;
   University of North Texas Health Science Center; University of Missouri
   System; University of Missouri Columbia; Metropolitan State University
   of Denver; University of Iowa; University of Iowa
RP Maddux, SD (corresponding author), Univ North Texas, Ctr Anat Sci, Hlth Sci Ctr, 3500 Camp Bowie Blvd, Ft Worth, TX 76107 USA.
EM scott.maddux@unthsc.edu
RI ; Butaric, Lauren/AFM-9174-2022
OI Maddux, Scott/0000-0002-0208-2770; Butaric, Lauren/0000-0003-3743-2408
FU Leakey Foundation; Wenner-Gren Foundation; National Science Foundation
   [SBR-9312567]; Texas Academy of Science
FX This research was supported by grants from the Leakey Foundation (SDM,
   TRY, RGF), Wenner-Gren Foundation (SDM), National Science Foundation
   SBR-9312567 (RGF), Texas Academy of Science (LNB).
CR [Anonymous], 1994, P SEMINAR FIELD MUSE
   [Anonymous], 1958, The comparative anatomy and physiology of the nose and paranasal sinuses
   [Anonymous], 2015, NCSS 10 Statistical Software
   [Anonymous], 2011, THESIS
   [Anonymous], 2006, FIELDS TOOLS SPATIAL
   [Anonymous], THESIS
   Athreya S, 2006, J HUM EVOL, V50, P627, DOI 10.1016/j.jhevol.2005.11.005
   Bastir M, 2016, J HUM EVOL, V91, P26, DOI 10.1016/j.jhevol.2015.11.001
   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
   Bastir M, 2008, J ANTHROPOL SCI, V86, P37
   Beall C.M., 2012, Human biology: an evolutionary and biocultural, Vperspective, P163
   BLAND JM, 1986, LANCET, V1, P307, DOI 10.1016/s0140-6736(86)90837-8
   Bosch E, 1997, HUM BIOL, V69, P295
   Brakez Z, 2001, ANN HUM BIOL, V28, P295, DOI 10.1080/030144601300119106
   Butaric LN, 2015, ANAT REC, V298, P1710, DOI 10.1002/ar.23182
   Butaric LN, 2013, THESIS
   Cann HM, 2002, SCIENCE, V296, P261
   CAREY JW, 1981, AM J PHYS ANTHROPOL, V56, P313, DOI 10.1002/ajpa.1330560312
   CAUNA N., 1982, NOSE UPPER AIRWAY PH, P45
   Charles CM, 1930, AM J PHYS ANTHROPOL, V14, P177, DOI 10.1002/ajpa.1330140204
   Churchill SE, 2004, AM J HUM BIOL, V16, P625, DOI 10.1002/ajhb.20074
   COLE P, 1953, J Laryngol Otol, V67, P449, DOI 10.1017/S0022215100048908
   COLE P, 1954, J Laryngol Otol, V68, P295, DOI 10.1017/S0022215100049690
   COLE P, 1953, J Laryngol Otol, V67, P669, DOI 10.1017/S0022215100049161
   Cole P., 1982, NOSE UPPER AIRWAY PH, P351
   COLLINS JC, 1971, BIOPHYS J, V11, P886, DOI 10.1016/S0006-3495(71)86262-8
   Corey JP, 1998, OTOLARYNG HEAD NECK, V119, P389, DOI 10.1016/S0194-5998(98)70085-3
   COTTLE MH, 1955, ARCHIV OTOLARYNGOL, V62, P173
   COURTISS EH, 1983, PLAST RECONSTR SURG, V72, P9, DOI 10.1097/00006534-198307000-00003
   CROGNIER E, 1981, ANN HUM BIOL, V8, P99, DOI 10.1080/03014468100004841
   CROGNIER E, 1981, J HUM EVOL, V10, P611, DOI 10.1016/S0047-2484(81)80069-3
   Davies A, 1932, J R ANTHROPOL INST G, V62, P337, DOI 10.2307/2843962
   Doorly DJ, 2008, RESP PHYSIOL NEUROBI, V163, P100, DOI 10.1016/j.resp.2008.07.027
   DRETTNER B, 1970, ANN OTO RHINOL LARYN, V79, P499, DOI 10.1177/000348947007900311
   ELAD D, 1993, MED BIOL ENG COMPUT, V31, P585, DOI 10.1007/BF02441806
   Elad D, 2008, RESP PHYSIOL NEUROBI, V163, P121, DOI 10.1016/j.resp.2008.05.002
   ESCOUFIER Y, 1973, BIOMETRICS, V29, P751, DOI 10.2307/2529140
   Evteev A, 2014, AM J PHYS ANTHROPOL, V153, P449, DOI 10.1002/ajpa.22444
   Evteev AA, 2016, AM J PHYS ANTHROPOL, V159, P517, DOI 10.1002/ajpa.22894
   FRANCISCUS RG, 1991, AM J PHYS ANTHROPOL, V85, P419, DOI 10.1002/ajpa.1330850406
   Franciscus RG, 2003, J HUM EVOL, V44, P701, DOI 10.1016/S0047-2484(03)00062-9
   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
   Fukase H, 2016, AM J HUM BIOL, V28, P343, DOI 10.1002/ajhb.22786
   Galloway VA, 2000, AM J HUM BIOL, V12, P75, DOI 10.1002/(SICI)1520-6300(200001/02)12:1<75::AID-AJHB9>3.0.CO;2-G
   GILL GW, 1988, J FORENSIC SCI, V33, P92
   Hall RL, 2005, AM J HUM BIOL, V17, P321, DOI 10.1002/ajhb.20122
   HANNA LM, 1986, J BIOMECH ENG-T ASME, V108, P19, DOI 10.1115/1.3138574
   Harvati K, 2006, ANAT REC PART A, V288A, P1225, DOI 10.1002/ar.a.20395
   Henn BM, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1002397
   HIERNAUX J, 1976, HUM BIOL, V48, P757
   HILLENIUS WJ, 1992, PALEOBIOLOGY, V18, P17, DOI 10.1017/S0094837300012197
   HILLENIUS WJ, 1994, EVOLUTION, V48, P207, DOI 10.1111/j.1558-5646.1994.tb01308.x
   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, 2016, AM J PHYS ANTHROPOL, V159, P176
   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, 2008, J HUM EVOL, V55, P942, DOI 10.1016/j.jhevol.2008.07.001
   Howells W.W., 1973, Pap Peabody Mus Archaeol Ethnol, V67, P1
   HOYME LE, 1965, AM J PHYS ANTHROPOL, V23, P336
   Hoyme St.L E Iscan MY., 1989, Reconstruction of Life From the Skeleton, P53
   Hubbe M, 2009, ANAT REC, V292, P1720, DOI 10.1002/ar.20976
   INGELSTEDT S, 1956, Acta Otolaryngol Suppl, V131, P1
   INGELSTEDT S, 1970, ANN OTO RHINOL LARYN, V79, P475, DOI 10.1177/000348947007900307
   Inthavong K., 2007, P 16 AUSTRALASIAN FL, P842
   Jessen C, 2001, JPN J PHYSIOL, V51, P291, DOI 10.2170/jjphysiol.51.291
   JONES D, 1995, CURR ANTHROPOL, V36, P723, DOI 10.1086/204427
   Keck T, 2000, LARYNGOSCOPE, V110, P651, DOI 10.1097/00005537-200004000-00021
   Keeler JA, 2016, J AEROSOL MED PULM D, V29, P153, DOI 10.1089/jamp.2014.1205
   Klingenberg CP, 2011, MOL ECOL RESOUR, V11, P353, DOI 10.1111/j.1755-0998.2010.02924.x
   Klingenberg CP, 2009, EVOL DEV, V11, P405, DOI 10.1111/j.1525-142X.2009.00347.x
   Lang J., 1989, CLIN ANATOMY NOSE NA
   Leonard WR, 2005, ANNU REV ANTHROPOL, V34, P451, DOI 10.1146/annurev.anthro.34.081804.120558
   Leong SC, 2009, CLIN OTOLARYNGOL, V34, P191, DOI 10.1111/j.1749-4486.2009.01905.x
   Lindemann J, 2009, AMJ RHINOL ALLERGY, V23, P575, DOI 10.2500/ajra.2009.23.3362
   Llorente MG, 2015, SCIENCE, V350, P820, DOI 10.1126/science.aad2879
   Maddux SD, 2016, AM J PHYS ANTHROPOL, V161, P309, DOI 10.1002/ajpa.23032
   Maddux SD, 2011, AM J PHYS ANTHROPOL, V144, P203
   MANTEL N, 1967, CANCER RES, V27, P209
   Margaria R., 1968, EXERCISE PHYSL, P43
   Mariak Z, 1999, J APPL PHYSIOL, V87, P1609, DOI 10.1152/jappl.1999.87.5.1609
   Mikalsen AKR, 2014, PEERJ, V2, DOI 10.7717/peerj.357
   MILLS RP, 1990, CLIN OTOLARYNGOL, V15, P553, DOI 10.1111/j.1365-2273.1990.tb00798.x
   Mlynski G, 2001, RHINOLOGY, V39, P197
   Morgan N. J., 1995, Rhinology (Utrecht), V33, P224
   Naftali S, 1998, ANN BIOMED ENG, V26, P831, DOI 10.1114/1.108
   Naftali S, 2005, ANN BIOMED ENG, V33, P545, DOI 10.1007/s10439-005-2513-4
   Newman MT, 1953, AM ANTHROPOL, V55, P311, DOI 10.1525/aa.1953.55.3.02a00020
   Noback ML, 2011, AM J PHYS ANTHROPOL, V145, P599, DOI 10.1002/ajpa.21523
   Pagano AS, 2015, ANAT REC, V298, P85, DOI 10.1002/ar.23076
   Proetz A.W., 1953, Applied physiology of the nose
   PROETZ AW, 1951, ANN OTO RHINOL LARYN, V60, P439, DOI 10.1177/000348945106000216
   Ramachandran S, 2005, P NATL ACAD SCI USA, V102, P15942, DOI 10.1073/pnas.0507611102
   Rohlf FJ, 2000, SYST BIOL, V49, P740, DOI 10.1080/106351500750049806
   Rosas A, 2002, AM J PHYS ANTHROPOL, V117, P236, DOI 10.1002/ajpa.10023
   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
   Rosenberg MS, 2011, METHODS ECOL EVOL, V2, P229, DOI 10.1111/j.2041-210X.2010.00081.x
   Salby M.L., 2012, PHYS ATMOSPHERE CLIM
   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
   SCHMIDTNIELSEN K, 1981, PROC R SOC SER B-BIO, V211, P305, DOI 10.1098/rspb.1981.0009
   SCHROTER RC, 1989, RESP PHYSIOL, V78, P357, DOI 10.1016/0034-5687(89)90110-2
   SCOTT J H, 1954, J Laryngol Otol, V68, P308, DOI 10.1017/S0022215100049707
   Seeley LE., 1940, Heating, Piping, andAir Conditioning, V12, P377
   Segal RA, 2008, ANN BIOMED ENG, V36, P1870, DOI 10.1007/s10439-008-9556-2
   SHEA BT, 1977, AM J PHYS ANTHROPOL, V47, P289, DOI 10.1002/ajpa.1330470209
   Snodgrass JJ, 2005, AM J HUM BIOL, V17, P155, DOI 10.1002/ajhb.20106
   Sokal RR., 2012, Biometry, V4
   Thomson A., 1913, International Medical Congress, V1, P89
   Thomson A, 1923, J R ANTHROPOL INST G, V53, P92, DOI 10.2307/2843753
   Tos M., 1982, NOSE UPPER AIRWAY PH, P99
   Trouet V, 2013, TREE-RING RES, V69, P3, DOI 10.3959/1536-1098-69.1.3
   Uliyanov Y.P., 1998, J OTOLARYNGOLOGY HEA, V152, P152
   Van Valkenburgh B, 2004, J ZOOL, V264, P281, DOI 10.1017/S0952836904005771
   WALKER JE, 1961, AM J MED, V30, P259, DOI 10.1016/0002-9343(61)90097-3
   Weiner JS, 1954, AM J PHYS ANTHROP-NE, V12, P615, DOI 10.1002/ajpa.1330120412
   White MD, 2011, J APPL PHYSIOL, V110, P569, DOI 10.1152/japplphysiol.00992.2010
   Wiederhold P.R., 1997, WATER VAPOR MEASUREM
   Williams R B, 1998, Respir Care Clin N Am, V4, P215
   Wolf M, 2004, J LARYNGOL OTOL, V118, P87, DOI 10.1258/002221504772784504
   WOLPOFF MH, 1968, AM J PHYS ANTHROPOL, V29, P405, DOI 10.1002/ajpa.1330290315
   Woo TL, 1934, BIOMETRIKA, V26, P196, DOI 10.1093/biomet/26.1-2.196
   Yokley TR, 2009, AM J PHYS ANTHROPOL, V138, P11, DOI 10.1002/ajpa.20893
   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 129
TC 38
Z9 51
U1 1
U2 29
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0002-9483
EI 1096-8644
J9 AM J PHYS ANTHROPOL
JI Am. J. Phys. Anthropol.
PD JAN
PY 2017
VL 162
IS 1
BP 103
EP 119
DI 10.1002/ajpa.23100
PG 17
WC Anthropology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Anthropology; Evolutionary Biology
GA EK2TW
UT WOS:000393780600007
PM 27670377
DA 2025-01-10
ER

PT J
AU Chen, BH
   Zhou, ZX
   Shi, Y
   Gong, J
   Li, CY
   Zhou, T
   Li, Y
   Zhang, DC
   Xu, P
AF Chen, Baohua
   Zhou, Zhixiong
   Shi, Yue
   Gong, Jie
   Li, Chengyu
   Zhou, Tao
   Li, Yun
   Zhang, Dianchang
   Xu, Peng
TI Genome-wide evolutionary signatures of climate adaptation in spotted sea
   bass inhabiting different latitudinal regions
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE climate adaptation; evolutionary signatures; population structure;
   spotted sea bass
ID ENERGY ACQUISITION RATES; COD GADUS-MORHUA; SWIMMING PERFORMANCE;
   TRADE-OFFS; COUNTERGRADIENT VARIATION; THERMAL SENSITIVITY; INTRINSIC
   GROWTH; F-STATISTICS; ATLANTIC COD; GENE FLOW
AB Consideration of the thermal adaptation of species is essential in both evolutionary biology and climate-change biology because it frequently leads to latitudinal gradients of various phenotypes among populations. The spotted sea bass (Lateolabrax maculatus) has a broad latitudinal distribution range along the marginal seas of the Northwest Pacific and thus provides an excellent teleost model for population genetic and climate adaptation studies. We generated over 8.57 million SNP loci using whole-genome resequencing from 100 samples collected at 14 geographic sites (five or ten samples per site). We estimated the genetic structure of the sampled fish and clustered them into three highly differentiated populations. The genetic differentiation pattern estimated by multivariable models combining geographic distance and sea surface temperature differences suggests that isolation by distance and isolation by environment both have significant effects on this species. Further investigation of genome-wide evolutionary signatures of climate adaptation identified many genes related to growth, muscle contraction, and vision that are under positive natural selection. Moreover, the contrasting patterns of natural selection in high-latitude and low-latitude populations prompted different strategies of trade-offs between growth rate and other traits that may play an essential role in adaptation to different local climates. Our results offer an opportunity to better understand the genetic basis of the phenotypic variation in eurythermal fishes inhabiting different climatic regions.
C1 [Chen, Baohua; Zhou, Zhixiong; Shi, Yue; Gong, Jie; Li, Chengyu; Zhou, Tao] Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Mariculture Breeding, Xiamen, Peoples R China.
   [Chen, Baohua; Zhou, Zhixiong; Shi, Yue; Gong, Jie; Li, Chengyu; Xu, Peng] Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.
   [Zhou, Tao; Xu, Peng] Xiamen Univ, Coll Ocean & Earth Sci, Fujian Key Lab Genet & Breeding Marine Organisms, Xiamen, Peoples R China.
   [Li, Yun] Ocean Univ China, Key Lab Mariculture, Minist Educ, Qingdao, Peoples R China.
   [Zhang, Dianchang] Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China.
C3 Xiamen University; Xiamen University; Xiamen University; Ocean
   University of China; Chinese Academy of Fishery Sciences; South China
   Sea Fisheries Research Institute, CAFS
RP Xu, P (corresponding author), Xiamen Univ, Shenzhen Res Inst, Shenzhen 518000, Peoples R China.; Zhang, DC (corresponding author), Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China.
EM zhangdch@163.com; xupeng77@xmu.edu.cn
RI Chen, Baohua/AAG-5930-2021; Cheng-Yu, Cheng-Yu/GXH-5884-2022; Xu,
   Peng/J-4018-2012
OI Chen, Baohua/0000-0002-3065-0739; Xu, Peng/0000-0002-1531-5078
FU Guangdong Basic and Applied Basic Research Foundation [2019A1515010731];
   National Science Fund for Distinguished Young Scholars [32225049];
   Knowledge Innovation Program of Shenzhen City [JCYJ20170818142601870];
   Fundamental Research Funds for the Central Universities, Xiamen
   University [20720190108, 20720190099, 20720190102]
FX Guangdong Basic and Applied Basic Research Foundation, Grant/Award
   Number: 2019A1515010731; National Science Fund for Distinguished Young
   Scholars, Grant/Award Number: 32225049; Knowledge Innovation Program of
   Shenzhen City, Grant/Award Number: JCYJ20170818142601870; Fundamental
   Research Funds for the Central Universities, Xiamen University,
   Grant/Award Number: 20720190108, 20720190099 and 20720190102
CR Angilletta MJ, 2002, J THERM BIOL, V27, P199, DOI 10.1016/S0306-4565(01)00084-5
   Avalos A, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01800-0
   Bennett JM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21263-8
   Billerbeck JM, 2001, EVOLUTION, V55, P1863
   Bradbury IR, 2010, P ROY SOC B-BIOL SCI, V277, P3725, DOI 10.1098/rspb.2010.0985
   Burbrink FT, 2022, SYST BIOL, V71, P839, DOI 10.1093/sysbio/syab093
   Cao HL, 2019, J CHEM INF MODEL, V59, P1508, DOI 10.1021/acs.jcim.8b00697
   Chang CC, 2015, GIGASCIENCE, V4, DOI 10.1186/s13742-015-0047-8
   Chen BH, 2019, FRONT GENET, V10, DOI 10.3389/fgene.2019.00275
   Chen D. G., 2001, ACTA OCEANOL SIN, V23, P81
   Chen ZQ, 2021, MOL ECOL, V30, P162, DOI 10.1111/mec.15717
   China Fishery Statistical, 2021, FISH BUR
   Conover DO, 1997, CAN J FISH AQUAT SCI, V54, P2401, DOI 10.1139/cjfas-54-10-2401
   CONOVER DO, 1995, TRENDS ECOL EVOL, V10, P248, DOI 10.1016/S0169-5347(00)89081-3
   Cook DE, 2017, BIOINFORMATICS, V33, P1581, DOI 10.1093/bioinformatics/btx011
   Cox MP, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-485
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Culumber ZW, 2020, EVOL ECOL, V34, P1037, DOI 10.1007/s10682-020-10075-9
   DeSilva R, 2020, AM J BOT, V107, P45, DOI 10.1002/ajb2.1406
   Dionne M, 2008, MOL ECOL, V17, P2382, DOI 10.1111/j.1365-294X.2008.03771.x
   Dixon P, 2003, J VEG SCI, V14, P927, DOI 10.1658/1100-9233(2003)014[0927:VAPORF]2.0.CO;2
   Dudchenko O, 2017, SCIENCE, V356, P92, DOI 10.1126/science.aal3327
   Feng CG, 2017, ELIFE, V6, DOI 10.7554/eLife.23907
   Ferrier S, 2007, DIVERS DISTRIB, V13, P252, DOI 10.1111/j.1472-4642.2007.00341.x
   Frichot E, 2015, METHODS ECOL EVOL, V6, P925, DOI 10.1111/2041-210X.12382
   Gautier M, 2017, MOL ECOL RESOUR, V17, P78, DOI 10.1111/1755-0998.12634
   Gautier M, 2015, GENETICS, V201, P1555, DOI 10.1534/genetics.115.181453
   Geue JC, 2016, ECOL EVOL, V6, P7954, DOI 10.1002/ece3.2509
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   Greenhalgh CJ, 2002, MOL ENDOCRINOL, V16, P1394, DOI 10.1210/me.16.6.1394
   Han ZQ, 2021, ZOOL RES, V42, P548, DOI 10.24272/j.issn.2095-8137.2021.116
   Hasselman DJ, 2013, MOL ECOL, V22, P1558, DOI 10.1111/mec.12197
   Hoijtink H, 2019, PSYCHOL METHODS, V24, P539, DOI 10.1037/met0000201
   Horvat S, 2001, GENOMICS, V72, P209, DOI 10.1006/geno.2000.6441
   HOWELL BK, 1991, INT J FOOD SCI TECH, V26, P283
   Hu Y. B., 2019, PERIOD OCEAN U CHINA, V49, P1
   Imsland AK, 2000, J FISH BIOL, V57, P1213, DOI 10.1111/j.1095-8649.2000.tb00482.x
   Kawecki TJ, 2004, ECOL LETT, V7, P1225, DOI 10.1111/j.1461-0248.2004.00684.x
   Lankford TE, 2001, EVOLUTION, V55, P1873, DOI 10.1111/j.0014-3820.2001.tb00836.x
   Lannig G, 2003, MAR BIOL, V142, P589, DOI 10.1007/s00227-002-0967-6
   Leimu R, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0004010
   Li A, 2021, MOL BIOL EVOL, V38, P5144, DOI 10.1093/molbev/msab241
   Lindgren B, 2005, J EVOLUTION BIOL, V18, P820, DOI 10.1111/j.1420-9101.2004.00875.x
   Liu JX, 2006, MOL PHYLOGENET EVOL, V39, P799, DOI 10.1016/j.ympev.2006.01.009
   Matte JM, 2020, J ANIM ECOL, V89, P541, DOI 10.1111/1365-2656.13124
   McCormick MI, 2008, CORAL REEFS, V27, P105, DOI 10.1007/s00338-007-0296-9
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   Mennen GJ, 2018, ANIM BEHAV, V138, P157, DOI 10.1016/j.anbehav.2018.02.017
   Mitchell MD, 2020, CORAL REEFS, V39, P867, DOI 10.1007/s00338-020-01920-y
   Mogensen S, 2012, OECOLOGIA, V168, P923, DOI 10.1007/s00442-011-2164-0
   Mokany K, 2022, GLOBAL ECOL BIOGEOGR, V31, P1237, DOI 10.1111/geb.13510
   Norin T, 2017, BIOL LETTERS, V13, DOI 10.1098/rsbl.2017.0298
   Oliveira TA, 2017, PEERJ, V5, DOI 10.7717/peerj.3739
   Payne NL, 2016, FUNCT ECOL, V30, P903, DOI 10.1111/1365-2435.12618
   Pérez-Sánchez J, 2018, FRONT ENDOCRINOL, V9, DOI 10.3389/fendo.2018.00687
   Philip AM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129299
   Prunier JG, 2015, MOL ECOL, V24, P263, DOI 10.1111/mec.13029
   Pucci F, 2017, BIOINFORMATICS, V33, P3415, DOI 10.1093/bioinformatics/btx417
   Puvanendran V, 2002, CAN J ZOOL, V80, P689, DOI 10.1139/Z02-045
   Reynolds RW, 2007, J CLIMATE, V20, P5473, DOI 10.1175/2007JCLI1824.1
   Riisgård HU, 2009, MAR BIOL RES, V5, P585, DOI 10.1080/17451000902729704
   RODGERS ME, 1987, BIOCHEMISTRY-US, V26, P8703, DOI 10.1021/bi00400a032
   Rome LC, 2000, J EXP BIOL, V203, P333
   Rousset F, 1997, GENETICS, V145, P1219
   Roze T, 2013, J THERM BIOL, V38, P98, DOI 10.1016/j.jtherbio.2012.12.001
   Salmón P, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23027-w
   SANDSTROM O, 1995, J FISH BIOL, V47, P652, DOI 10.1111/j.1095-8649.1995.tb01932.x
   Schemske DW, 2009, ANNU REV ECOL EVOL S, V40, P245, DOI 10.1146/annurev.ecolsys.39.110707.173430
   Shao CW, 2018, GIGASCIENCE, V7, DOI 10.1093/gigascience/giy114
   Shimizu M, 2017, GEN COMP ENDOCR, V252, P150, DOI 10.1016/j.ygcen.2017.08.002
   Steiner UK, 2007, AM NAT, V169, P118, DOI 10.1086/509939
   Stoks R, 2005, J ANIM ECOL, V74, P708, DOI 10.1111/j.1365-2656.2005.00969.x
   Van der Auwera Geraldine A, 2013, Curr Protoc Bioinformatics, V43, DOI [10.1002/0471250953.bi1201s43, 10.1002/0471250953.bi1110s43]
   Sun P., 2014, ACTA ECOL SIN, V34, P196, DOI [10.1016/j.chnaes.2013.06.009, DOI 10.1016/J.CHNAES.2013.06.009]
   Suzuki Y, 2010, EVOL ECOL, V24, P749, DOI 10.1007/s10682-009-9331-3
   Sylvestre EL, 2007, J COMP PHYSIOL B, V177, P447, DOI 10.1007/s00360-007-0143-x
   Takahashi M, 2005, FISHERIES SCI, V71, P405, DOI 10.1111/j.1444-2906.2005.00978.x
   Tang H, 2005, GENET EPIDEMIOL, V28, P289, DOI 10.1002/gepi.20064
   Terhorst Jonathan, 2017, Nat Genet, V49, P303, DOI 10.1038/ng.3748
   Watabe S, 2002, J EXP BIOL, V205, P2231
   Watson SA, 2018, GLOBAL CHANGE BIOL, V24, P4368, DOI 10.1111/gcb.14290
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Xu JJ, 2019, BIOL OPEN, V8, DOI 10.1242/bio.041012
   Yan GJ, 2012, J THERM BIOL, V37, P424, DOI 10.1016/j.jtherbio.2012.04.006
   Yang JY, 2015, NAT METHODS, V12, P7, DOI 10.1038/nmeth.3213
   Yokogawa Koji, 1998, Suisan Zoshoku, V46, P315
   Zhang XY, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173238
   Zhang XT, 2019, NAT PLANTS, V5, P833, DOI 10.1038/s41477-019-0487-8
   Zhao YF, 2018, MAR BIOTECHNOL, V20, P45, DOI 10.1007/s10126-017-9786-0
   Zhaoshu Liu H. Z., 2002, GEOLOGY S CHINA SEA
   Zheng XW, 2012, BIOINFORMATICS, V28, P3326, DOI 10.1093/bioinformatics/bts606
   Zhou Yi-fei, 2019, Nature Communications, V10, DOI [10.1038/s41467-019-13698-x, 10.1038/s41467-019-12821-2]
NR 92
TC 5
Z9 5
U1 6
U2 34
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD MAY
PY 2023
VL 16
IS 5
BP 1029
EP 1043
DI 10.1111/eva.13551
EA APR 2023
PG 15
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA G6KK6
UT WOS:000979714200001
PM 37216029
OA Green Published, Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Esteban-Cantillo, OJ
   Clerici, N
   Avila-Diaz, A
   Quesada, B
AF Esteban-Cantillo, Oscar Julian
   Clerici, Nicola
   Avila-Diaz, Alvaro
   Quesada, Benjamin
TI Historical and future extreme climate events in highly vulnerable small
   Caribbean Islands
SO CLIMATE DYNAMICS
LA English
DT Article
DE Climatology; Extreme weather; ETCCDI:Projection; Ensemble approach;
   CMIP6; Colombia
ID PRECIPITATION; TRENDS
AB Small Caribbean islands are on the frontline of climate change because of sea level rise, extreme rainfall and temperature events, and heavy hurricanes. The Archipelago of San Andr & eacute;s, Providencia, and Santa Catalina (SAI), are Caribbean islands belonging to Colombia and declared a Biosphere Reserve by UNESCO. SAI is highly vulnerable to climate change impacts but no hydroclimatological study quantified the extreme climatic changes yet. This study analyzes historical (1960s-2020, 7 stations) and future (2071-2100, CMIP6 multi-model ensemble, for four scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) trends in mean and extreme precipitation and temperature duration, frequency, and intensity. We find that heatwaves have more than tripled in frequency and doubled their maximum duration since the end of the '80 s. Precipitation is historically reduced by 5%, with a reduction recorded in 5 stations and an increase in 2, while extreme rainfall events significantly increased in frequency and intensity in most stations. The hotter-and-drier climate is amplified in the future for all scenarios, with much drier extremes (e.g., -0.5 & horbar;-17% wet days, +8%& horbar;30% consecutive dry days, and +60%& horbar;89% in hot days). Although we show that hurricanes Categories IV and V near SAI (< 600 km) more than doubled since the'60 s, only a small fraction of extreme rainfall in the archipelago is associated with hurricanes or tropical storms. La Ni & ntilde;a events also have no substantial influence on extreme precipitation. Interestingly, opposite and heterogeneous historical extreme rainfall trends are found across such small territory (< 30 km(2)). Thus, downscaled hydrometeorological data and model simulations are essential to investigate future extreme climatic events and strengthen small Caribbean islands' climate change adaptation efforts.
C1 [Esteban-Cantillo, Oscar Julian; Avila-Diaz, Alvaro; Quesada, Benjamin] Univ Rosario, Fac Nat Sci, Earth Syst Sci Program, Bogota, Colombia.
   [Esteban-Cantillo, Oscar Julian] Inst Jean Nicod ENS EHESS CNRS, Paris, France.
   [Clerici, Nicola] Univ Rosario, Fac Nat Sci, Biol Program, Bogota, Colombia.
C3 Universidad del Rosario; Centre National de la Recherche Scientifique
   (CNRS); Universidad del Rosario
RP Quesada, B (corresponding author), Univ Rosario, Fac Nat Sci, Earth Syst Sci Program, Bogota, Colombia.
EM benjamin.quesada@urosario.edu.co
RI Quesada, Benjamin/Q-1195-2018; Avila-Diaz, Alvaro/L-6200-2019; Clerici,
   Nicola/C-8994-2012
OI Avila Diaz, Alvaro Javier/0000-0002-0404-4559
FU Colombia Consortium; Direccion de Investigacion e Innovacion of
   Universidad del Rosario; European Union [101007531]; Climat AmSud
   program grant [REPRISE 21-CLIMAT-13]; Marie Curie Actions (MSCA)
   [101007531] Funding Source: Marie Curie Actions (MSCA)
FX Open Access funding provided by Colombia Consortium. The authors thank
   the Direccion de Investigacion e Innovacion of Universidad del Rosario
   for funding. B.Q. acknowledges the SCORE (Sustainable COnservation and
   REstoration of built cultural heritage,http://score-project.net/en)
   project funded by the European Union's Horizon 2020 research and
   innovation programme under grant agreement No 101007531. B.Q. also
   acknowledges the Climat AmSud program grant REPRISE 21-CLIMAT-13 for
   funding
CR Aguilar E, 2005, J GEOPHYS RES-ATMOS, V110, DOI 10.1029/2005JD006119
   [Anonymous], 2015, Nuevos Escenarios de Cambio Climatico para Colombia 2011- 2100 Herramientas Cientificas para la Toma de Decisiones - Enfoque Nacional - Departamental: Tercera Comunicacion Nacional de Cambio Climatico
   ARC Centre of Excellence for Climate Extremes & University of New South Wales, 2021, CLIMDEX
   Arias PA, 2022, IMPLICACIONES METODO
   Avila A, 2019, WATER-SUI, V11, DOI 10.3390/w11020379
   Avila-Diaz A, 2023, EARTH SYST ENVIRON, V7, P99, DOI 10.1007/s41748-022-00337-7
   Avila-Diaz A, 2021, J CLIMATE, V34, P2385, DOI 10.1175/JCLI-D-20-0093.1
   Beharry SL, 2015, THEOR APPL CLIMATOL, V122, P783, DOI 10.1007/s00704-014-1330-9
   Bernal G., 2006, REV ACAD COLOMB CIEN, V30, P195208
   Bissolli P, 2023, B AM METEOROL SOC, V104, pS366, DOI 10.1175/2023BAMSStateoftheClimate_Chapter7.1
   Usta DFB, 2023, CLIM DYNAM, V60, P3713, DOI 10.1007/s00382-022-06535-3
   Carmona Ramirez J, 2010, CARACTERIZACION CLIM
   Centro de Investigaciones Oceanograficas e Hidrograficas, 2010, CLIM PRINC PUERT CAR
   Cerón WL, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13020156
   Skansi MD, 2013, GLOBAL PLANET CHANGE, V100, P295, DOI 10.1016/j.gloplacha.2012.11.004
   Englehart PJ, 2001, INT J CLIMATOL, V21, P1357, DOI 10.1002/joc.637
   Fernández A, 2023, NAT CLIM CHANGE, V13, P1014, DOI 10.1038/s41558-023-01820-3
   Gobernacion del Departamento de San Andres Providencia y Santa Catalina, 2020, PLAN DEP GEST RIES A
   Guerrero Jimnez T., 2019, TURISMO SOC, V26, P127, DOI [10.18601/01207555.n26.06, DOI 10.18601/01207555.N26.06]
   Guzman D., 2014, REGIONALIZACION COLO
   Herrera DA, 2020, J CLIMATE, V33, P10773, DOI 10.1175/JCLI-D-20-0100.1
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   IDEAM, 2021, CONSULTA DESCARGA DA
   IDEAM PNUD, 2017, 3 COM NAC COL CONV M
   Imbach P, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193570
   Instituto de Investigaciones Marinas y Costeras Jose Benito Vives de Andreis, 2012, ATLAS RESERVA BIOSFE
   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]
   Kimball SK, 2004, J CLIMATE, V17, P3555, DOI 10.1175/1520-0442(2004)017<3555:AYCONA>2.0.CO;2
   Lavers DA, 2022, Q J ROY METEOR SOC, V148, P3152, DOI 10.1002/qj.4351
   Leon Lee P., 2023, World Environmental and Water Resources Congress 2023: Adaptive Planning and Design in an Age of Risk and Uncertainty, P317, DOI 10.1061/9780784484852.031
   Lenderking HL, 2021, INT J SUST DEV WORLD, V28, P238, DOI 10.1080/13504509.2020.1804477
   Lopez-Rodriguez AC, 2009, ORDENAMIENTO AMBIENT
   Manciu A, 2023, CLIM DYNAM, V61, P111, DOI 10.1007/s00382-022-06545-1
   McConney P., 2015, DISASTER RISK MANAGE
   McGree S, 2019, J CLIMATE, V32, P4919, DOI 10.1175/JCLI-D-18-0748.1
   NOAA National Hurricane Center HURDAT2 & NOAA National Centers for Environmental Information IBTrACS, 2021, NOAA HIST HURRACAINE
   NOAA National Weather Service & National Centers for Environmental Prediction, 2021, NATL WEATHER SERVICE
   NOAA Office for Coastal Management, 2021, HIST HURRICANE TRACK
   Pereira HM, 2024, SCIENCE, V384, P458, DOI 10.1126/science.adn3441
   Pérez-Alarcón A, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100366
   Portner H-O, 2021, IPBES IPCC COSP REP
   Poveda G., 1999, REV ACAD COLOMB CIEN, V23, P517
   Quesada B., 2023, PLOS CLIM, V2, DOI 10.1371/journal.pclm.0000188
   Quesada B, 2017, J GEOPHYS RES-ATMOS, V122, P5113, DOI 10.1002/2016JD025448
   Randriatsara HHRH, 2022, INT J CLIMATOL, V42, P7028, DOI 10.1002/joc.7628
   Romero-Hernández CM, 2024, J S AM EARTH SCI, V140, DOI 10.1016/j.jsames.2024.104898
   Shepherd JM, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL031694
   Sociedad Nacional de la Cruz Roja Colombiana, 2020, REP SIT HUR IOTA
   Stennett-Brown RK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219250
   Stephenson TS, 2014, INT J CLIMATOL, V34, P2957, DOI 10.1002/joc.3889
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taylor MA, 2013, INT J CLIMATOL, V33, P784, DOI 10.1002/joc.3461
   Urrea V, 2019, WATER RESOUR RES, V55, P4149, DOI 10.1029/2018WR023316
   Valencia ID, 1999, CUADERNO GEOGRAFIA R, V8, P136
   Vega-Duran J, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12111430
   Vosper EL, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9794
   World Climate Research Programme, 2021, ETCCDI CLIMATE CHANG
   Yeo MH, 2023, CLIMATE, V11, DOI 10.3390/cli11040081
NR 58
TC 1
Z9 1
U1 5
U2 5
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD AUG
PY 2024
VL 62
IS 8
BP 7233
EP 7250
DI 10.1007/s00382-024-07276-1
EA JUL 2024
PG 18
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA G9M7L
UT WOS:001262516900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bedasa, Y
   Deksisa, K
AF Bedasa, Yadeta
   Deksisa, Kumala
TI Food insecurity in East Africa: An integrated strategy to address
   climate change impact and violence conflict
SO JOURNAL OF AGRICULTURE AND FOOD RESEARCH
LA English
DT Article
DE Climate change; Conflict; East Africa; Economic development; Food
   security; Migration; Pastoralists
ID ECONOMIC-GROWTH; VARIABILITY; DROUGHT; HORN
AB The East of Africa is the least developed region, the most food insecure and the most difficult development challenges in the world. The article review examines seventy-six peer-reviewed articles on climate-linked food insecurity and economic development in the East Africa mostly published 2017-2023. The study evaluates to what extent the literature provides, explain, and illustrate the numerous linkages between climate change, food insecurity and economic development. This study includes two sections; the first section examines the food insecurity, which is a result of violent conflict brought on by the effects of climate change; the second section examines an integrated approach to address conflict related climate change and food insecurity. According to the study, decreased agricultural and economic productivity as a result of climate change is a factor in conflict. Food insecurity and conflict are mutually reinforcing and closely linked. In addition, to lessen the food insecurity, policies must employ conflict related climate change adaptive strategies. The distribution and management of land, water, and other natural resources need to be improved in order to resolve conflicts caused by climate change. For East Africa to develop a successful strategy for addressing conflict-related climate change, participation in the development of resource-sharing agreements and land-use planning needs to be strengthened. Local natural resource management and identification of possible conflict hotspots using early warning, risk assessments, and scenario analysis were suggested as ways to lessen the effects of conflict due to climate change. The key policy implication is that the best strategies to promote long-term food security are to establish the rule of law, set high standards for regulation, protect property rights, establishing national frameworks for resolving climate-related conflicts, and settle conflicts.
C1 [Bedasa, Yadeta; Deksisa, Kumala] Jimma Univ, Dept Agr Econ & Agribusiness Management, Jimma, Ethiopia.
   [Bedasa, Yadeta] Wollega Univ, Dept Agr Econ, Shambu, Ethiopia.
C3 Jimma University
RP Bedasa, Y (corresponding author), Jimma Univ, Dept Agr Econ & Agribusiness Management, Jimma, Ethiopia.
EM bedasay@gmail.com
RI Deksisa, Kumala/ADL-1503-2022; Bedasa Wakweya, Yadeta/ABM-4383-2022
OI Deksisa, Kumala/0000-0003-0811-6342; Bedasa Wakweya,
   Yadeta/0000-0002-1821-0335
CR Abel GJ, 2019, GLOBAL ENVIRON CHANG, V54, P239, DOI 10.1016/j.gloenvcha.2018.12.003
   Abidoye BO, 2015, J AFR ECON, V24, P277, DOI 10.1093/jae/eju033
   Adaawen S, 2019, CURR DIR WATER SCARC, V2, P15, DOI 10.1016/B978-0-12-814820-4.00002-X
   Adjei V., 2021, Glob Scient Res Env Sci, V1, P1
   Adom PK, 2021, J ENVIRON MANAGE, V293, DOI 10.1016/j.jenvman.2021.112923
   Alboghdady M, 2016, INT J CLIM CHANG STR, V8, P463, DOI 10.1108/IJCCSM-07-2015-0100
   Alemu M., 2018, Strat. Rev. South. Afr., V40
   Alemu M.G., 2018, Violence, Insecurity and Marginality in Pastoralist Spaces: the Horn of Africa and the Sahel Regions
   Ani KJ, 2022, INT J CLIM CHANG STR, V14, P148, DOI 10.1108/IJCCSM-11-2020-0119
   Asnake D.T., 2019, Ethiop J Sci Sustain Dev, V6, P72
   Baarsch F, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104699
   Babamaaji R., Periodic Assessment of Trend and Climatic Variability in the LCB
   Baptiste HJ, 2022, SOC INDIC RES, V164, P439, DOI 10.1007/s11205-022-02956-z
   Bedasa Y., 2020, J. Invest. Manag., V9, P107
   Bedasa Y, 2024, IRRIG DRAIN, V73, P334, DOI 10.1002/ird.2873
   Bedasa Y, 2023, GEOJOURNAL, V88, P1829, DOI 10.1007/s10708-022-10733-1
   Bekuma T, 2023, NAT HAZARDS, V115, P409, DOI 10.1007/s11069-022-05560-z
   Black R., 2022, ENV PEACE SECURITY N
   Burchi S., 2020, Legal Perspectives on Bridging Science and Policy, P4
   Burke M, 2015, REV ECON STAT, V97, P461, DOI 10.1162/REST_a_00478
   Cabot C, 2017, HEXAG SER HUM ENVIRO, V12, P11, DOI 10.1007/978-3-642-29237-8_2
   Calderone M., 2014, Resilience for Food and Nutrition Security, V65
   Corbera E, 2019, CLIM POLICY, V19, pS1, DOI 10.1080/14693062.2019.1639299
   Davies S, 2023, J PEACE RES, V60, P691, DOI 10.1177/00223433231185169
   Dell M, 2012, AM ECON J-MACROECON, V4, P66, DOI 10.1257/mac.4.3.66
   Diallo Y., 2023, Selected Issues Papers 2023, pA001
   Erick S., 2022, International Journal of Livestock Policy, V1, P63, DOI [10.47941/ijlp.844, DOI 10.47941/IJLP.844]
   Espoir DK, 2022, SCI TOTAL ENVIRON, V804, DOI 10.1016/j.scitotenv.2021.150089
   Fawzy S, 2020, ENVIRON CHEM LETT, V18, P2069, DOI 10.1007/s10311-020-01059-w
   Firdaus RBR, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1707607
   Forest JJF, 2022, STUD CONFL TERROR, V45, P368, DOI 10.1080/1057610X.2019.1678881
   Gemeda DO, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e08009
   Gopakumar K., 2022, Impact of Climate Change on Hydrological Cycle, Ecosystem, Fisheries and Food Security, P393
   Haggag M, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102884
   Haile GG, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001502
   Jimmieson NL, 2017, PERS INDIV DIFFER, V113, P209, DOI 10.1016/j.paid.2017.03.035
   Kabandula A., 2018, Security and Development in the Horn of Africa: Emerging Powers, and Competing Regionalisms
   Kassaye AY, 2021, ENVIRON DEV SUSTAIN, V23, P5096, DOI 10.1007/s10668-020-00805-y
   Kassegn A, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1885122
   Kemmerling B, 2022, GLOB FOOD SECUR-AGR, V33, DOI 10.1016/j.gfs.2022.100634
   Kemp L, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2108146119
   Koubi V, 2019, ANNU REV POLIT SCI, V22, P343, DOI 10.1146/annurev-polisci-050317-070830
   Krishnamurthy PK, 2020, GLOB FOOD SECUR-AGR, V26, DOI 10.1016/j.gfs.2020.100374
   Lamptey S., 2022, African Journal of Agricultural Research, V18, P18, DOI 10.5897/AJAR2021.15822
   Lewis K, 2017, CLIMATIC CHANGE, V144, P317, DOI 10.1007/s10584-017-2036-7
   Mach KJ, 2019, NATURE, V571, P193, DOI 10.1038/s41586-019-1300-6
   Mahrous W., 2019, REV ECON POLIT SCI-R, V4, P270, DOI [10.1108/REPS-12-2018-0039, DOI 10.1108/REPS-12-2018-0039]
   Martin Pilly, 2012, Spaces of Insecurity: Human Agency in Violent Conflicts in Kenya, P167
   Martin-Shields CP, 2019, WORLD DEV, V119, P150, DOI 10.1016/j.worlddev.2018.07.011
   Masara W.B., 2021, African Journal of Empirical Research, V2, P170
   Mumo L, 2018, INT J PLANT PROD, V12, P297, DOI 10.1007/s42106-018-0027-x
   Mundler P., 2022, Handbook of Proximity Relations, V368
   Musavengane R, 2020, TOUR MANAG PERSPECT, V34, DOI 10.1016/j.tmp.2020.100654
   Nguyen TT, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1080696
   Ofori SA, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.680924
   Olika T., 2008, Ethiop. J. Soc. Sci. Humanit., V6, P1
   Opongo E. O., 2022, The Palgrave handbook of sustainable peace and security in Africa, P505
   Pacillo G., 2021, Quantitative Analysis on the Impact of Climate Variability on Conflict in Ethiopia and in the CADC Countries
   Pascual U, 2023, NATURE, V620, P813, DOI 10.1038/s41586-023-06406-9
   Pham PN, 2023, J REFUG STUD, V36, P818, DOI 10.1093/jrs/fead044
   Post R, 2016, APPL ECON PERSPECT P, V38, P563, DOI 10.1093/aepp/ppw027
   PRIO, 2019, Conflict trends in Africa, 1989-2018
   Qu C, 2018, INT CONF AGRO-GEOINF, P280
   Rogerson C. M., 2019, GeoJournal of Tourism and Geosites, V25, P293, DOI 10.30892/gtg.25202-360
   Scheffran J., 2019, OXFORD RES ENCY CLIM, DOI DOI 10.1093/ACREFORE/9780190228620.013.557
   Seife TK, 2021, POLITIKON-UK, V48, P98, DOI 10.1080/02589346.2020.1861509
   Solomon N, 2018, EARTH-SCI REV, V177, P284, DOI 10.1016/j.earscirev.2017.11.016
   Tantoh HB, 2021, J CLEAN PROD, V290, DOI 10.1016/j.jclepro.2021.125804
   Tekalign T, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100737
   Ugwueze MI, 2022, SOCIETY, V59, P240, DOI 10.1007/s12115-022-00685-0
   UN, 2015, Report on Sustainable Development Goals for the Eastern Africa Subregion
   van Baalen S, 2018, INT STUD REV, V20, P547, DOI 10.1093/isr/vix043
   van Weezel S, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104708
   van Weezel S, 2019, J PEACE RES, V56, P514, DOI 10.1177/0022343319826409
   Vesco P, 2020, ECOL ECON, V172, DOI 10.1016/j.ecolecon.2020.106633
   Warsame AA, 2021, ENVIRON SCI POLLUT R, V28, P19838, DOI 10.1007/s11356-020-11739-3
   WHO, 2023, World Health Organization, Greater Horn of Africa Food Insecurity and Health Grade 3 Emergency
NR 77
TC 5
Z9 5
U1 4
U2 9
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 MAR
PY 2024
VL 15
AR 100978
DI 10.1016/j.jafr.2024.100978
EA JAN 2024
PG 11
WC Agriculture, Multidisciplinary; Food Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Agriculture; Food Science & Technology
GA HX6Y6
UT WOS:001162859500001
OA gold
DA 2025-01-10
ER

PT J
AU Espinoza, V
   Booth, LA
   Viers, JH
AF Espinoza, Vicky
   Booth, Lorenzo Ade
   Viers, Joshua H.
TI Land Use Misclassification Results in Water Use, Economic Value, and GHG
   Emission Discrepancies in California's High-Intensity Agriculture Region
SO SUSTAINABILITY
LA English
DT Article
DE land use misclassification; California agriculture; greenhouse gas
   emissions; crop water requirement; economic costs; misclassification
   discrepancies
ID CLIMATE-CHANGE; POPULATION
AB California's San Joaquin Valley is both drought-prone and water-scarce but relies on high-intensity agriculture as its primary economy. Climate change adaptation strategies for high-intensity agriculture require reliable and highly resolved land use classification data to accurately account for changes in crop water demand, greenhouse gas (GHG) emissions, and farmgate revenue. Understanding direct and indirect economic impacts from potential changes to high-intensity agriculture to reduce groundwater overdrafts, such as reductions in the cultivated area or switching to less water-intensive crops, is unachievable if land use data are too coarse and inconsistent or misclassified. This study quantified the revenue, crop water requirement, and GHG emission discrepancies resulting from land use misclassification in the United States' most complex agricultural region, California's San Joaquin Valley. By comparing three commonly used land use classification datasets-CropScape, Land IQ, and Kern County Agriculture-this study found that CropScape led to considerable revenue and crop water requirement discrepancies compared to other sources. Crop misclassification across all datasets resulted in an underestimation of GHG emissions. The total revenue discrepancies of misclassified crops by area for the 2016 dataset comparisons result in underestimations by CropScape of around USD 3 billion and overestimation by LIQ and Kern Ag of USD 72 million. Reducing crop misclassification discrepancies is essential for crafting climate resilience strategies, especially for California, which generates USD 50 billion in annual agricultural revenue, faces increasing water scarcity, and aims to reach carbon neutrality by 2045. Additional investments are needed to produce spatial land use data that are highly resolved and locally validated, especially in high-intensity agriculture regions dominated by specialty crops with unique characteristics not well suited to national mapping efforts.
C1 [Espinoza, Vicky; Booth, Lorenzo Ade; Viers, Joshua H.] Univ Calif Merced, Environm Syst Grad Grp, Merced, CA 95343 USA.
   [Espinoza, Vicky] Nature Conservancy, 555 Capitol Ave,Ste 1290, Sacramento, CA 95814 USA.
   [Booth, Lorenzo Ade] Univ Calif Merced, Comp Sci & Engn, Merced, CA 95343 USA.
   [Viers, Joshua H.] Univ Calif Merced, Dept Civil & Environm Engn, Merced, CA 95343 USA.
C3 University of California System; University of California Merced; Nature
   Conservancy; University of California System; University of California
   Merced; University of California System; University of California Merced
RP Espinoza, V (corresponding author), Univ Calif Merced, Environm Syst Grad Grp, Merced, CA 95343 USA.; Espinoza, V (corresponding author), Nature Conservancy, 555 Capitol Ave,Ste 1290, Sacramento, CA 95814 USA.
EM vicky.espinoza@tnc.org
RI Viers, Joshua/ABC-1851-2020
OI Espinoza, Vicky/0000-0003-3136-2576; Viers, Joshua/0000-0001-7957-7942
FU Agriculture and Food Research Initiative Competitive Grant from the
   United States Department of Agriculture (USDA) National Institute of
   Food and Agriculture (NIFA) [2021-69012-35916]; AI Research Institutes
   program by NSF; USDA-NIFA under the AI Institute: Agricultural AI for
   Transforming Workforce and Decision Support (AgAID) [2021-67021-35344];
   UC Merced Chancellor's fellowship; IoT4Ag Engineering Research Center
   (ERC) - National Science Foundation (NSF) [EEC-1941529]
FX This work was supported by Agriculture and Food Research Initiative
   Competitive Grant no. 2021-69012-35916 from the United States Department
   of Agriculture (USDA) National Institute of Food and Agriculture (NIFA),
   as well as the AI Research Institutes program supported by NSF and
   USDA-NIFA under the AI Institute: Agricultural AI for Transforming
   Workforce and Decision Support (AgAID) award No. 2021-67021-35344. VE
   was partially supported by the UC Merced Chancellor's fellowship, and
   LAB was partially supported by the IoT4Ag Engineering Research Center
   (ERC) funded by the National Science Foundation (NSF) under NSF
   Cooperative Agreement Number EEC-1941529.
CR [Anonymous], 2017, A report produced for the G20 Presidency of Germany
   Atzberger C, 2013, REMOTE SENS-BASEL, V5, P949, DOI 10.3390/rs5020949
   Bogner C, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0190476
   Booth L, 2018, THESIS U  CALIFORNIA
   California Department of Food and Agriculture, 2019, AGR STAT OV
   California Department of Water Resources, 2022, SUST GROUNDW MAN ACT
   Carlson KM, 2017, NAT CLIM CHANGE, V7, P63, DOI [10.1038/NCLIMATE3158, 10.1038/nclimate3158]
   County of Kern Agriculture and Measurement Standards, 2020, KERN COUNT SPAT DAT
   Crane-Droesch A, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aae159
   Delgado R, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0222916
   DWR, 2016, CADWR LAND US VIEW
   EPA. United States Environmental Protection Agency, GREENH GAS EQ CALC
   Escriva-Bou A., 2023, The Future of Agriculture in the San Joaquin Valley
   Espinoza V, 2018, GEOPHYS RES LETT, V45, P4299, DOI 10.1029/2017GL076968
   FAO Land Use in Agriculture by the Numbers, 2020, SUST FOOD AGR
   Feng SW, 2019, IEEE J-STARS, V12, P3295, DOI 10.1109/JSTARS.2019.2922469
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Goodrich JP., 2020, San Francisco Estuary and Watershed Science, V18, P0, DOI DOI 10.15447/SFEWS.2020V18ISS1ART2
   Han WG, 2012, COMPUT ELECTRON AGR, V84, P111, DOI 10.1016/j.compag.2012.03.005
   Hanak E., 2019, WATER FUTURE SAN JOA
   Howitt R.E., 2014, EC ANAL 2014 DROUGHT
   Hurtt GC, 2011, CLIMATIC CHANGE, V109, P117, DOI 10.1007/s10584-011-0153-2
   Kagan CR, 2022, COMPUT ELECTRON AGR, V196, DOI 10.1016/j.compag.2022.106742
   Kalyanaraman A, 2022, COMPUT ELECTRON AGR, V197, DOI 10.1016/j.compag.2022.106944
   Konar M, 2013, HYDROL EARTH SYST SC, V17, P3219, DOI 10.5194/hess-17-3219-2013
   Konar M, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010307
   Konar M, 2020, WATER-SUI, V12, DOI 10.3390/w12113286
   Land I.Q, 2021, NEW LAND US RES PUBL
   Larsen AE, 2017, P NATL ACAD SCI USA, V114, P5473, DOI 10.1073/pnas.1620674114
   Mahlayeye M, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14102404
   Matson PA, 1997, SCIENCE, V277, P504, DOI 10.1126/science.277.5325.504
   Mueller R., 2013, P 6 INT C AGR STAT
   Rallings AM, 2022, J AM WATER RESOUR AS, V58, P1216, DOI 10.1111/1752-1688.12966
   Ramankutty N, 2002, AMBIO, V31, P251, DOI 10.1639/0044-7447(2002)031[0251:POTLCI]2.0.CO;2
   Ramankutty N, 2002, GLOBAL ECOL BIOGEOGR, V11, P377, DOI 10.1046/j.1466-822x.2002.00294.x
   Reitsma KD, 2016, AGRON J, V108, P266, DOI 10.2134/agronj2015.0288
   Rivera A., 2017, CLIMATE CHANGE LAND, P1, DOI [10.1002/9781118786352.wbieg0538, DOI 10.1002/9781118786352.WBIEG0538]
   Scanlon BR, 2017, WATER RESOUR RES, V53, P3550, DOI 10.1002/2017WR020889
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   U.S. Census Bureau, 2019, KERN COUNT POP EST Q
   USDA NASS Cropscape General Information, 2020, RES SCI
   Verburg PH, 2011, GLOBAL CHANGE BIOL, V17, P974, DOI 10.1111/j.1365-2486.2010.02307.x
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 44
TC 3
Z9 3
U1 3
U2 12
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD APR
PY 2023
VL 15
IS 8
AR 6829
DI 10.3390/su15086829
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 F0UZ9
UT WOS:000979597200001
OA gold
DA 2025-01-10
ER

PT J
AU Chapain, S
   Aly, AM
AF Chapain, Suvash
   Aly, Aly Mousaad
TI Vibration Attenuation in a High-Rise Hybrid-Timber Building: A
   Comparative Study
SO APPLIED SCIENCES-BASEL
LA English
DT Article
DE tuned mass damper (TMD); pendulum pounding TMD; TMD inerter; vibration
   control; dynamics; timber buildings; high-ris
ID TUNED MASS-DAMPER; WOODEN BUILDINGS; DYNAMIC-BEHAVIOR; PERFORMANCE;
   WIND; DESIGN; SYSTEM; MITIGATION; NOISE; MODEL
AB Recent developments in engineered timber products, and their availability, durability, and renewability, have led to taller and more flexible buildings. However, these buildings may experience excessive vibrations, resulting in safety and serviceability issues due to wind or earthquake loads. This paper presents a dynamic analysis of a 42-story-tall hybrid-timber building, along with a comparative study of the performance of three damping devices: (i) pendulum pounding tuned mass damper (PTMD), (ii) tuned mass damper inerter (TMDI), and (iii) tuned mass damper (TMD). First, we evaluate the vibration reduction capability of the TMD and the TMDI under filtered white noise and variable frequency sinusoidal excitations. Then, we propose a robust pendulum PTMD designed using the Hertz contact law to minimize the responses under seismic excitations. For a fair comparison, the mass of the TMD, TMDI, and pendulum PTMD is kept the same. The results show that the pendulum PTMD has higher performance and can reduce the peak accelerations under earthquake loads when both TMD and TMDI fail to achieve this requirement. The superior performance of the proposed device in reducing peak accelerations relates to the reduction in damage to structural and nonstructural components under seismic loads. Nevertheless, coupling the inerter and TMD to form a TMDI may shift the optimum frequency and damping ratios, leading to reduced performance. Compared to TMD and TMDI, the proposed pendulum PTMD is more robust, with higher performance in reducing the base shear (55.7%), base moment (41%), and inter-story drift ratio (40%). The dominant capabilities of this novel device in a timber-hybrid building under different excitations reveal benefits that can shape the future of the physical infrastructure and contribute to climate change adaptation and mitigation for improved disaster resilience and circular economy policies.
C1 [Chapain, Suvash; Aly, Aly Mousaad] Louisiana State Univ, Windstorm Impact Sci & Engn WISE Res Lab, 3230 H Patrick F Taylor Hall, Baton Rouge, LA 70803 USA.
   [Aly, Aly Mousaad] Oregon State Univ, Sch Civil & Construct Engn, OH Hinsdale Wave Res Lab, 3550 SW Jefferson Way, Corvallis, OR 97331 USA.
C3 Louisiana State University System; Louisiana State University; Oregon
   State University
RP Aly, AM (corresponding author), Louisiana State Univ, Windstorm Impact Sci & Engn WISE Res Lab, 3230 H Patrick F Taylor Hall, Baton Rouge, LA 70803 USA.; Aly, AM (corresponding author), Oregon State Univ, Sch Civil & Construct Engn, OH Hinsdale Wave Res Lab, 3550 SW Jefferson Way, Corvallis, OR 97331 USA.
EM aly@lsu.edu
RI Aly, Aly Mousaad/Q-6257-2018
OI Aly, Aly Mousaad/0000-0002-1253-139X
FU Louisiana Board of Regents (ITRS program: LEQSF) [(2022-25)-RD-B-02];
   Louisiana State University (LSU) NSF I-Corps; LSU Faculty Grant; LSU
   Economic Development Assistantships; NSF EPSCoR program
FX The second author (A.M. Aly) received funds from the Louisiana Board of
   Regents (ITRS program: LEQSF(2022-25)-RD-B-02), Louisiana State
   University (LSU) NSF I-Corps, LSU Faculty Grant, as well as LSU Economic
   Development Assistantships (EDAs) through the NSF EPSCoR program. The
   findings are those of the authors and do not necessarily represent the
   sponsors' views.
CR Abdelnaeem M., 2018, LANCET, V5, P7
   AKAY A, 1978, J ACOUST SOC AM, V64, P977, DOI 10.1121/1.2773928
   Aksoy T, 2020, MECH BASED DES STRUC, V48, P615, DOI 10.1080/15397734.2019.1657889
   Aly AM, 2014, STRUCT DES TALL SPEC, V23, P664, DOI 10.1002/tal.1068
   Aly AM, 2013, ALEX ENG J, V52, P717, DOI 10.1016/j.aej.2013.08.006
   [Anonymous], 1999, Wind and Structures: An International Journal, DOI [DOI 10.12989/WAS.1999.2.3.201, 10.12989/was.1999.2.3.201]
   [Anonymous], 2018, MAN ENG WOOD CONSTR
   Attaway S., 2018, MATLAB PRACTICAL INT, V5th ed.
   Baker J.W., 2007, 8 PACIFIC C EARTHQUA, P8, DOI [10.1002/eqe, DOI 10.1002/EQE]
   Basili M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12189153
   Beskhyroun S, 2020, J BUILD ENG, V28, DOI 10.1016/j.jobe.2019.101066
   Bezabeh MA, 2018, J WIND ENG IND AEROD, V181, P85, DOI 10.1016/j.jweia.2018.08.012
   Bezabeh MA, 2018, ENG STRUCT, V177, P519, DOI 10.1016/j.engstruct.2018.07.079
   Bigdeli Y, 2016, KSCE J CIV ENG, V20, P301, DOI 10.1007/s12205-015-0365-5
   Bigdeli Y, 2015, KSCE J CIV ENG, V19, P672, DOI 10.1007/s12205-013-1019-0
   Bigdeli Y, 2014, STRUCT ENG MECH, V49, P687, DOI 10.12989/sem.2014.49.6.687
   Branco JM, 2011, ENG STRUCT, V33, P2259, DOI 10.1016/j.engstruct.2011.04.002
   Caicedo D, 2021, J BUILD ENG, V34, DOI 10.1016/j.jobe.2020.101927
   Ceccotti A, 2006, 1 EUR C EARTHQ ENG S
   Chapain S, 2021, ENG STRUCT, V233, DOI 10.1016/j.engstruct.2021.111891
   Chapain S, 2019, ENG STRUCT, V197, DOI 10.1016/j.engstruct.2019.109352
   Chen M.Z., 2019, INERTER ITS APPL VIB
   Chowdhury I, 2003, Electron J Geotech Eng, V8, P1
   Dadkhah M, 2022, J EARTHQ ENG, V26, P3317, DOI 10.1080/13632469.2020.1798830
   Dadkhah M, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10103403
   De Domenico D, 2018, EARTHQ ENG STRUCT D, V47, P1169, DOI 10.1002/eqe.3011
   Fragiacomo M, 2011, ENG STRUCT, V33, P3043, DOI 10.1016/j.engstruct.2011.05.020
   Gavric I., 2012, PROC 2012 WORLD C TI, P146
   Gavric I, 2015, J STRUCT ENG, V141, DOI 10.1061/(ASCE)ST.1943-541X.0001246
   Ghoniem M, 2020, ALEX ENG J, V59, P4013, DOI 10.1016/j.aej.2020.07.007
   Guan D, 2022, J SOUND VIB, V535, DOI 10.1016/j.jsv.2022.117113
   He J, 2017, ENG STRUCT, V141, P512, DOI 10.1016/j.engstruct.2017.03.036
   Housner GW, 1997, J ENG MECH, V123, P897, DOI 10.1061/(ASCE)0733-9399(1997)123:9(897)
   Huber JAJ, 2019, WOOD MATER SCI ENG, V14, P107, DOI 10.1080/17480272.2018.1446052
   International Code Council, 1997, STRUCT ENG DES PROV, V2
   Jafari M, 2021, J BUILD ENG, V33, DOI 10.1016/j.jobe.2020.101582
   Jankowski R, 2005, EARTHQ ENG STRUCT D, V34, P595, DOI 10.1002/eqe.434
   Jankowski R, 2006, ENG STRUCT, V28, P1149, DOI 10.1016/j.engstruct.2005.12.005
   Jeong SY, 2020, J BUILD ENG, V31, DOI 10.1016/j.jobe.2020.101420
   Johansson M., 2016, P WORLD C TIMBER ENG
   Kamgar R, 2020, IJST-T CIV ENG, V44, P339, DOI 10.1007/s40996-019-00302-x
   Karacabeyli E., 2013, HAND BOOK CROSS LAMI, P572
   Khatibinia M., 2018, International Journal of Dynamics and Control, V6, P1094, DOI [10.1007/s40435-017-0386-7, DOI 10.1007/S40435-017-0386-7]
   Kocan C, 2024, MECH BASED DES STRUC, V52, P680, DOI 10.1080/15397734.2022.2121720
   Li HN, 2015, SMART MATER STRUCT, V24, DOI 10.1088/0964-1726/24/9/095001
   Li QS, 2011, J STRUCT ENG, V137, P143, DOI 10.1061/(ASCE)ST.1943-541X.0000264
   Liberty S., 1972, MODERN CONTROL ENG, V17
   Longarini N, 2017, SHOCK VIB, V2017, DOI 10.1155/2017/2031248
   Madhamshetty K, 2018, MACHINES, V6, DOI 10.3390/machines6030032
   MAISON BF, 1992, EARTHQUAKE ENG STRUC, V21, P771, DOI 10.1002/eqe.4290210903
   Marian L, 2014, PROBABILIST ENG MECH, V38, P156, DOI 10.1016/j.probengmech.2014.03.007
   Martinez-Paneda M, 2020, STRUCT DES TALL SPEC, V29, DOI 10.1002/tal.1724
   Mazza F, 2017, MECH BASED DES STRUC, V45, P331, DOI 10.1080/15397734.2016.1277740
   Mensah AF, 2011, ENG STRUCT, V33, P674, DOI 10.1016/j.engstruct.2010.11.028
   Morrison MJ, 2011, ENG STRUCT, V33, P69, DOI 10.1016/j.engstruct.2010.09.019
   Muthukumar S, 2006, EARTHQ ENG STRUCT D, V35, P811, DOI 10.1002/eqe.557
   Nakaminami S., 2017, 7 INT C ADV EXP STRU, V6-8, P41, DOI [DOI 10.7414/7AESE.T1.55, 10.7414/7aese.T1.55.2016, DOI 10.7414/7AESE.T1.55.2016]
   Nakano Y, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app112412070
   Ozturk B, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12157878
   Pacchioli S, 2021, J BUILD ENG, V40, DOI 10.1016/j.jobe.2021.102334
   Papageorgiou C, 2005, IEEE DECIS CONTR P, P3351
   Park SH, 2017, BUILD ENVIRON, V116, P173, DOI 10.1016/j.buildenv.2017.02.005
   Patil D, 2017, PROCEEDINGS OF THE ASME INDIA INTERNATIONAL OIL AND GAS PIPELINE CONFERENCE, 2017
   PEER, 2021, STRONG GROUND MOT DA
   Petrini F, 2020, ENG STRUCT, V204, DOI 10.1016/j.engstruct.2019.109904
   Poirier E., 2016, P WORLD C TIMBER ENG
   Popovski M, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001315
   Pratesi F, 2014, ENG STRUCT, V71, P23, DOI 10.1016/j.engstruct.2014.04.006
   Raheem S., 2006, Electronic Journal of Structural Engineering, DOI [10.56748/ejse.659, DOI 10.56748/EJSE.659]
   Reiterer M, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12073301
   Reynolds T., 2011, P THE35TH ANN S IABS
   Rosowsky D, 2003, NAT HAZARDS REV, V4, P144, DOI 10.1061/(ASCE)1527-6988(2003)4:3(144)
   Salimi M, 2021, INNOV INFRASTRUCT SO, V6, DOI 10.1007/s41062-021-00473-5
   Schober KU, 2016, EUR J WOOD WOOD PROD, V74, P369, DOI 10.1007/s00107-016-1024-3
   Skidmore Owings and Merrill (SOM LLP), 2013, TIMB TOW RES PROJ
   Smith MC, 2004, VEHICLE SYST DYN, V42, P235, DOI 10.1080/00423110412331289871
   Smith MC, 2002, IEEE T AUTOMAT CONTR, V47, P1648, DOI 10.1109/TAC.2002.803532
   SOMAYAJI S, 1985, J STRUCT ENG-ASCE, V111, P1164, DOI 10.1061/(ASCE)0733-9445(1985)111:5(1164)
   Song GB, 2016, J ENG MECH, V142, DOI 10.1061/(ASCE)EM.1943-7889.0001078
   Spencer BF, 2003, J STRUCT ENG, V129, P845, DOI 10.1061/(ASCE)0733-9445(2003)129:7(845)
   Stepinac M, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10041380
   Tamura Y., 2008, P STRUCTURES C 2008
   Tandon N, 2000, SADHANA-ACAD P ENG S, V25, P331, DOI 10.1007/BF02703549
   Tanveer M, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101742
   Tassios T.P., 1993, SEISMIC DESIGN REINF, V12
   Tesfamariam S, 2014, J PERFORM CONSTR FAC, V28, DOI 10.1061/(ASCE)CF.1943-5509.0000641
   Van de Kuilen JWG, 2011, PROCEDIA ENGINEER, V14, P1621, DOI 10.1016/j.proeng.2011.07.204
   Wang QH, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9235045
   Wang WX, 2019, STRUCT CONTROL HLTH, V26, DOI 10.1002/stc.2326
   Weber F, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12126204
   Xie Z, 2020, J BUILD ENG, V32, DOI 10.1016/j.jobe.2020.101744
   Nguyen XT, 2023, MECH BASED DES STRUC, V51, P5355, DOI 10.1080/15397734.2021.2002163
   Yang HB, 2015, SMART MATER STRUCT, V24, DOI 10.1088/0964-1726/24/6/065028
   Ye K, 2009, EARTHQ ENG ENG VIB, V8, P433, DOI 10.1007/s11803-009-8045-4
   Yin XF, 2018, J BRIDGE ENG, V23, DOI 10.1061/(ASCE)BE.1943-5592.0001256
   Zhang P, 2013, J ENG MECH, V139, P1395, DOI 10.1061/(ASCE)EM.1943-7889.0000576
   Zhang X., 2017, THESIS U BRITHISH CO
NR 97
TC 10
Z9 10
U1 3
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
J9 APPL SCI-BASEL
JI Appl. Sci.-Basel
PD FEB
PY 2023
VL 13
IS 4
AR 2230
DI 10.3390/app13042230
PG 35
WC Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials
   Science, Multidisciplinary; Physics, Applied
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Chemistry; Engineering; Materials Science; Physics
GA 9H4UC
UT WOS:000938827400001
OA gold
DA 2025-01-10
ER

PT J
AU Swami, D
   Parthasarathy, D
AF Swami, Deepika
   Parthasarathy, Devanathan
TI Assessing effectiveness of agricultural adaptation strategies in context
   of crop loss: a case study of the Indian subcontinent
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Farmers' well-being; Adaptation potential; Adaptation strategies;
   Effectiveness; Crop loss; Climate change
ID CLIMATE-CHANGE ADAPTATION; FARM-LEVEL ADAPTATION; DRIP IRRIGATION;
   DROUGHT-PRONE; WATER; RICE; VARIABILITY; VULNERABILITY; MAHARASHTRA;
   MANAGEMENT
AB Inevitability of climate change and stressors such as insects, pests, scarcity of water resources, and poor socio-economic condition of farmers have led to a substantial reduction in crop yield across the Indian subcontinent. The farming community follows adaptation measures to deal with these multiple stressors. Sometimes following the adaptation measures leads to a detrimental impact on crop yield, land, and soil quality. This raises the question of the effectiveness of these adaptation measures, that is, whether these strategies have enough potential to deal with the multiple stressors (climate, insects, water scarcity) or not. It requires a closer examination of the negative consequences of these adaptation measures, which is missing in the literature. To fill this gap, the current study assesses the success or failure of an agricultural adaptation strategy followed by identification of the relative importance of each strategy from the crop-loss perspective. We used logit model to evaluate the effectiveness of adaptation measures i.e., crop diversification, sowing drought resistant, short duration crop varieties, drip irrigation, livestock rearing, crop insurance, use of groundwater for irrigation, increase in cropped area, and change in planting/harvesting dates towards crop loss of 400 farmers surveyed across Vidarbha and Marathwada regions of Maharashtra, India. Evaluation of adaptation strategies reveals that the highly practiced adaptation strategies, namely, crop diversification, sowing short duration, and drought resistant crop varieties turned out to be detrimental for crop productivity, while migration and increase in the cropped area benefit the farmers by reducing the crop loss. Findings emphasize that a thorough understanding of the repercussions of an adaptation strategy is required before implementation. Outcome of the study can facilitate the government and other decision-making agencies in prioritizing one strategy over another.
C1 [Swami, Deepika; Parthasarathy, Devanathan] Indian Inst Technol, Interdisciplinary Program Climate Studies, Mumbai, Maharashtra, India.
   [Parthasarathy, Devanathan] Indian Inst Technol, Dept Humanities & Social Sci, Mumbai, Maharashtra, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Bombay; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Bombay
RP Swami, D (corresponding author), Indian Inst Technol, Interdisciplinary Program Climate Studies, Mumbai, Maharashtra, India.
EM dsdeepika782@gmail.com; dp@hss.iitb.ac.in
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   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]
   Ahmad M, 2015, GEOMAT NAT HAZ RISK, V6, P115, DOI 10.1080/19475705.2013.826740
   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], 2018, INDIAN EXPRESS
   [Anonymous], 2016, Economic and Political Weekly
   Ashraf M, 2014, NAT HAZARDS, V73, P1451, DOI 10.1007/s11069-014-1149-9
   Balkhande JV, 2014, INDIAN J APPL PURE B, V28
   Bandyopadhyay T, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01266
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Basha DPC, 2018, INT J RES EC SOC SCI, V10, P279, DOI [10.1542/peds.2006-2099, DOI 10.1542/PEDS.2006-2099]
   Below T., 2010, IFPRI Discussion Paper, V953, P28
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Benouniche M, 2016, J AGRIC EDUC EXT, V22, P61, DOI 10.1080/1389224X.2014.977307
   Bhushan C., 2017, Pradhan Mantri Fasal Bima Yojana: an Assessment
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Birthal PS, 2015, FOOD POLICY, V56, P1, DOI 10.1016/j.foodpol.2015.07.005
   Boomiraj K, 2010, AGR ECOSYST ENVIRON, V138, P265, DOI 10.1016/j.agee.2010.05.010
   Boomiraj K, 2011, IMPACT CLIMATE CHANG
   Bradshaw B, 2004, CLIMATIC CHANGE, V67, P119, DOI 10.1007/s10584-004-0710-z
   Brown S, 2019, DOWN EARTH
   Buckler Laura, 2018, OCCUPATIONAL HLTH SA
   Cameron AC., 2010, MICROECONOMETRICS US
   Camp CR, 1998, T ASAE, V41, P1353, DOI 10.13031/2013.17309
   Cariappa AG, 2017, AGR EC RES REV, DOI [10.3390/risks9110191, DOI 10.3390/RISKS9110191]
   Catenacci M, 2013, ENVIRON MODELL SOFTW, V44, P87, DOI 10.1016/j.envsoft.2012.10.010
   CGWB, 2013, GROUND WATER INFORM
   Chakrabarti S, 2014, WORLD J POLIT EC, V14, DOI [10.13169/worlrevipoliecon.5.3.0372, DOI 10.13169/WORLREVIPOLIECON.5.3.0372]
   Chandran AB, 2016, CLIMATE CHANGE CHALL, DOI [10.1007/978-3-319-31014-5_23, DOI 10.1007/978-3-319-31014-5_23]
   Chen DM, 2017, EUR J AGRON, V90, P34, DOI 10.1016/j.eja.2017.07.007
   Chen WF, 2013, INT J DISAST RISK SC, V4, P169, DOI 10.1007/s13753-013-0018-6
   Cordeiro Marcos R. C., 2015, Canadian Biosystems Engineering, V57, DOI 10.7451/CBE.2015.57.1.39
   Das Soma, 2015, EC TIMES
   Debaeke P, 2004, EUR J AGRON, V21, P433, DOI 10.1016/j.eja.2004.07.006
   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
   Dhaliwal G. S., 2015, Indian Journal of Entomology, V77, P165, DOI 10.5958/0974-8172.2015.00033.4
   Dhaliwal G.S., 2007, Indian Journal of Ecology, V34, P100
   FAO, 2019, CROP PROD NAT RES US
   Farauta BK, 2012, J AGRIC EXT, V16, P132, DOI 10.4314/jae.v16i1.13
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Fleischer A, 2011, TECHNOL FORECAST SOC, V78, P982, DOI 10.1016/j.techfore.2011.02.008
   Foster S, 2011, HYDROGEOL J, V19, P959, DOI 10.1007/s10040-011-0734-1
   Gedela S. P. R., 2008, World Applied Sciences Journal, V4, P707
   Grömping U, 2015, WIRES COMPUT STAT, V7, P137, DOI 10.1002/wics.1346
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Hazra CR., 2001, FOOD AGR ORGAN OFTHE
   Jadhav R, 2019, HINDU
   Jain M, 2015, GLOBAL ENVIRON CHANG, V31, P98, DOI 10.1016/j.gloenvcha.2014.12.008
   Jakeman AJ, 2016, INTEGRATED GROUNDWAT, P762, DOI [10.1007/978-3-319-23576-9_29, DOI 10.1007/978-3-319-23576-9_29]
   Jha B, 2011, INDIAN J AGR EC, V66
   Jha CK, 2018, INT J CLIM CHANG STR, V10, P121, DOI 10.1108/IJCCSM-03-2017-0059
   Juana J. S., 2013, Journal of Agricultural Science (Toronto), V5, P121
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Kale A, 2021, J RADIOANAL NUCL CH, V327, P771, DOI 10.1007/s10967-020-07556-0
   Kang YH, 2012, AGR WATER MANAGE, V109, P117, DOI 10.1016/j.agwat.2012.02.013
   Klaiber HA, 2014, ENERG ECON, V46, P539, DOI 10.1016/j.eneco.2014.04.001
   Kumar A., 2002, ECON POLIT WEEKLY, V37
   Kumar A., 2014, Journal of Social & Development Sciences, V5, P111, DOI 10.22610/jsds.v5i2.811
   Kurukulasuriya P., 2007, RICARDIAN ANAL IMPAC
   Lal M, 1999, AGR FOREST METEOROL, V93, P53, DOI 10.1016/S0168-1923(98)00105-1
   Lal M, 1998, AGR FOREST METEOROL, V89, P101, DOI 10.1016/S0168-1923(97)00064-6
   Lasage R, 2014, NAT HAZARD EARTH SYS, V14, P1441, DOI 10.5194/nhess-14-1441-2014
   Lema M. A., 2009, African Journal of Environmental Science and Technology, V3, P206
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lobell DB, 2012, PLANT PHYSIOL, V160, P1686, DOI 10.1104/pp.112.208298
   Mahajan G, 2012, CURR SCI INDIA, V102, P1254
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Mandale VP, 2019, CLIM CHANG, V5, P5561
   Mariappan K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082400
   Masson-Delmotte V., 2021, Climate Change 2021: The Physical Science Basis, P41
   Mendelsohn R, 2003, LAND ECON, V79, P328, DOI 10.2307/3147020
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Ministry of Agriculture and Farmers Welfare, 2018, NAT MISS OILS OIL P
   Mishra AK, 2016, FOOD POLICY, V62, P110, DOI 10.1016/j.foodpol.2016.05.005
   Mohan Rohit, 2015, Economic Times19-Nov
   Mohanty M., 2015, CLIMATE CHANGE IMPAC, DOI [10.1007/978-81-322-2157-9_5, DOI 10.1007/978-81-322-2157-9_5]
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Murari KK, 2015, REG ENVIRON CHANGE, V15, P569, DOI 10.1007/s10113-014-0660-6
   Murty MVR, 2007, 37 GLOB THEM AGR INT
   Narayanamoorthy A., 2003, Indian Journal of Agricultural Economics, V58, P427
   Nhemachena C, 2008, IFPRI RES BRIEF, P15
   Obermaier M, 2009, PROC RIO 9 WORLD CLI
   Pande CB, 2020, ENVIRON DEV SUSTAIN, V22, P7453, DOI 10.1007/s10668-019-00531-0
   Patnaik U, 2015, INT J CLIM CHANG STR, V7, P359, DOI 10.1108/IJCCSM-07-2014-0085
   Peduzzi P, 1996, J CLIN EPIDEMIOL, V49, P1373, DOI 10.1016/S0895-4356(96)00236-3
   Pimentel D, 1996, SCI TOTAL ENVIRON, V188, pS86, DOI 10.1016/0048-9697(96)05280-1
   Pimentel D, 2014, INTEGRATED PEST MANAGEMENT: CURRENT CONCEPTS AND ECOLOGICAL PERSPECTIVE, P111, DOI 10.1016/B978-0-12-398529-3.00008-7
   Rana RS, 2014, INDIAN J AGR SCI, V84, P1172
   Rathore LS, 2001, MAUSAM, V52, DOI [10.54302/mausam.v52i1.1693, DOI 10.54302/MAUSAM.V52I1.1693]
   Ravi Shrey Ravi Shrey, 2015, Plant Archives, V15, P41
   Rohat G, 2021, CLIMATIC CHANGE, V164, DOI 10.1007/s10584-021-02990-9
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Saseendran SA, 2000, CLIMATIC CHANGE, V44, P495, DOI 10.1023/A:1005542414134
   Sekhri S, 2013, MISSING WATER AGR ST, P26
   Senaviratna NA., 2019, Asian Journal of Probability and Statistics, V5, P1, DOI DOI 10.9734/AJPAS/2019/V5I230132
   Shroff S., 2017, INDIAN J AGR EC, V72, P415
   Sikka AK, 2018, IRRIG DRAIN, V67, P72, DOI 10.1002/ird.2162
   Smit B., 1993, ADAPTATION CLIMATIC
   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]
   Smith JC, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0225555
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   Srinivasulu M., 2015, IJIRMPS INT J INNOV, V3
   Srivastava A, 2010, AGR ECOSYST ENVIRON, V138, P160, DOI 10.1016/j.agee.2010.04.012
   Swami D., 2020, UNDERSTANDING FARMER, DOI [10.1007/s10584-020-02935-8, DOI 10.1007/S10584-020-02935-8]
   Swami D, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.107206
   Swami D, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110487
   Swami D, 2018, SCI TOTAL ENVIRON, V619, P559, DOI 10.1016/j.scitotenv.2017.10.328
   Tirado R., 2010, Ecological farming: Drought-resistant agriculture
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   USDA, 2016, SHORT DUR COV CROPS
   Waikar M.L., 2014, International Journal of Multidisciplinary and Current Research, V2, P179
   Zhao DL, 2015, INT J AGRON, V2015, DOI 10.1155/2015/547386
NR 117
TC 3
Z9 4
U1 4
U2 14
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 2022
VL 22
IS 2
AR 71
DI 10.1007/s10113-022-01921-3
PG 15
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 1L6PY
UT WOS:000799409100001
DA 2025-01-10
ER

PT J
AU Xu, M
   Qin, ZF
   Wei, YG
AF Xu, Meng
   Qin, Zhongfeng
   Wei, Yigang
TI Exploring the financing and allocating schemes for the Chinese Green
   Climate Fund
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Climate Change; Green Climate Fund; Allocation Schemes; Principle of
   Sharing; Preference Score Compromise
ID STRUCTURAL DECOMPOSITION ANALYSIS; CARBON-DIOXIDE EMISSIONS; CO2
   EMISSIONS; DRIVING FORCES; COUNTRIES; COMMITMENTS; MITIGATION; ENERGY;
   AID
AB Chinese Green Climate Fund (GCF) is expected to launch by the government in the foreseeable future to support local governments in climate change adaption and mitigation. Lessons from experiences of international financing and allocating mechanisms provide valuable references for establishing the Chinese GCF. This study aims to explore the feasibility of several well-recognized schemes for financing and allocating the Chinese GCF among China's 30 provinces. These include: financing schemes of historical emission responsibility (HR), ability-to-pay (AP) and preference score compromises (PSC); as well as allocating schemes of carbon emissions intensity (CI), carbon emissions per capital (CC), GDP per capital (GC) and PSC. This study derives several important findings. Firstly, given different financing schemes, the coastal economically developed provinces including Shandong, Jiangsu, Guangdong, and Zhejiang would collectively shoulder most of the financing responsibility (almost 70% in total) and play central roles in climate financing. Shandong province presents high financing responsibilities mainly due to its export trades of primary products which rely on the development of high-polluted industries. Other three provinces show high financing responsibilities mainly due to the rapid growth of their industries (petrochemical, steel, building materials, electric power, etc.) for economic development. Secondly, the inland economically backward provinces including Shanxi, Ningxia, Guizhou, Xinjiang, and Gansu would be the top five largest recipients of the funds, obtaining more than 30% of total disbursements. The innovations and contributions of the present study are as follows: Firstly, this paper systematically explored the feasibility and alternative schemes for Chinese GCF for the first time. Further, it introduces PSC methods based on diversified approaches to explore suitable financing and allocating schemes. The schemes proposed would establish theoretical foundations for the Chinese GCF and would also promote the development of other kinds of financing for China and countries with similar economic features.
C1 [Xu, Meng; Qin, Zhongfeng; Wei, Yigang] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China.
   [Qin, Zhongfeng; Wei, Yigang] Beijing Key Lab Emergency Support Simulat Technol, Beijing, Peoples R China.
C3 Beihang University
RP Qin, ZF (corresponding author), Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China.; Qin, ZF (corresponding author), Beijing Key Lab Emergency Support Simulat Technol, Beijing, Peoples R China.
EM xumeng1007@buaa.edu.cn; qin@buaa.edu.cn; weiyg@buaa.edu.cn
RI WEI, YIGANG/U-2900-2017
FU National Natural Science Foundation of China [72071008, 71771011,
   72174020, 71904009]; Beijing Social Science Foundation [20GLC054]; MOE
   (Ministry of Education in China) Project of Humanities and Social
   Sciences [19YJC840041]
FX This work was supported in part by the National Natural Science
   Foundation of China (No. 72071008; 71771011; 72174020; 71904009),
   Beijing Social Science Foundation (No. 20GLC054), and the MOE (Ministry
   of Education in China) Project of Humanities and Social Sciences (No.
   19YJC840041).
CR Aldy JE, 2006, ENVIRON RESOUR ECON, V33, P533, DOI 10.1007/s10640-005-6160-x
   [Anonymous], 2015, Climate Finance in 2013-14 and the USD 100 billion goal
   [Anonymous], 2016, China Energy Statistical Yearbook 2015
   Chi W, 2008, CHINA ECON REV, V19, P421, DOI 10.1016/j.chieco.2007.12.001
   Cohen G, 2019, ENERG ECON, V77, P105, DOI 10.1016/j.eneco.2018.03.030
   Costantini V, 2016, ECOL ECON, V121, P128, DOI 10.1016/j.ecolecon.2015.11.026
   CPAACC, 2011, CHIN POL ACT ADDR CL
   Cui LB, 2014, J SYST SCI SYST ENG, V23, P266, DOI 10.1007/s11518-014-5250-0
   Cui LB, 2018, WORLD DEV, V101, P173, DOI 10.1016/j.worlddev.2017.08.009
   Cui LB, 2015, INT J CLIM CHANG STR, V7, P206, DOI 10.1108/IJCCSM-11-2013-0125
   Dellink R, 2009, GLOBAL ENVIRON CHANG, V19, P411, DOI 10.1016/j.gloenvcha.2009.07.009
   Den Elzen MGJ, 2005, CLIMATIC CHANGE, V71, P277, DOI 10.1007/s10584-005-5382-9
   den Elzen M, 2006, CLIM POLICY, V6, P545
   Dong HJ, 2013, ENERG POLICY, V57, P298, DOI 10.1016/j.enpol.2013.01.057
   Dong Z., 2012, J ANHUI AGR, V40, P8253
   Donner SD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054006
   Eyraud L, 2013, ENERG POLICY, V60, P852, DOI 10.1016/j.enpol.2013.04.039
   GBGF, 2016, GUID BUILD GREEN FIN
   GCAC, 2018, GLOB ACT CLIM CHANG
   Geddes A, 2020, ENERGY RES SOC SCI, V69, DOI 10.1016/j.erss.2020.101583
   Grasso M, 2010, GLOBAL ENVIRON CHANG, V20, P74, DOI 10.1016/j.gloenvcha.2009.10.006
   Guo C., 2011, HONG GUAN JING JI GU, V6
   Halimanjaya A, 2015, CLIM CHANG ECON, V6, DOI 10.1142/S2010007815500141
   Hasson R, 2010, ECOL ECON, V70, P331, DOI 10.1016/j.ecolecon.2010.09.004
   Hof AF, 2011, ENVIRON SCI POLICY, V14, P615, DOI 10.1016/j.envsci.2011.05.006
   Horsch A, 2017, J STRUCT FINANC, V23, P79, DOI 10.3905/jsf.2017.23.1.079
   Jiang P, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110452
   Kumar S, 2015, NATURE, V527, P419, DOI 10.1038/nature.2015.18815
   Lee K, 2006, ENERG POLICY, V34, P2779, DOI 10.1016/j.enpol.2005.04.019
   Li H, 2017, ENERG ECON, V68, P522, DOI 10.1016/j.eneco.2017.10.024
   Liao XC, 2018, ENERG POLICY, V119, P554, DOI 10.1016/j.enpol.2018.05.020
   Lin SF, 2009, ENVIRON IMPACT ASSES, V29, P341, DOI 10.1016/j.eiar.2009.01.009
   Luppi B, 2012, INT REV LAW ECON, V32, P135, DOI 10.1016/j.irle.2011.10.002
   Markandya A, 2015, WORLD DEV, V74, P93, DOI 10.1016/j.worlddev.2015.04.013
   Müller B, 2001, CLIMATIC CHANGE, V48, P273, DOI 10.1023/A:1010775501271
   Muller B., 1998, EV26 OIES
   NBS, 2016, CHIN CIR STAT YB
   NEA, 2016, CHINA ENERGY STAT YB
   Netherlands Environmental Assessment Agency (NEAA), 2008, CHIN NOW NO 1 CO 2 E
   Pickering J, 2017, INT ENVIRON AGREEM-P, V17, P107, DOI 10.1007/s10784-016-9346-5
   Poumanyvong P, 2010, ECOL ECON, V70, P434, DOI 10.1016/j.ecolecon.2010.09.029
   Savaresi A, 2016, REV EUR COMP INT ENV, V25, P186, DOI 10.1111/reel.12164
   Schulz K, 2021, EARTH SYST GOV-NETH, V7, DOI 10.1016/j.esg.2020.100084
   Sharma SS, 2011, APPL ENERG, V88, P376, DOI 10.1016/j.apenergy.2010.07.022
   Silverstein D., 2011, USING HARMONIZED CAR
   Skovgaard J, 2017, INT ENVIRON AGREEM-P, V17, P89, DOI 10.1007/s10784-016-9348-3
   Smith A., 1904, An Inquiry into the Nature and Causes of the Wealth of Nations
   Su B, 2017, ENERG ECON, V65, P137, DOI 10.1016/j.eneco.2017.05.002
   Tan ZF, 2011, APPL ENERG, V88, P4496, DOI 10.1016/j.apenergy.2011.05.042
   UNFCCC, 2010, 16 SESS C UNFCCC
   UNFCCC, 2010, 15 SESS 2010 UN FRAM
   Wang H, 2017, ECOL ECON, V142, P163, DOI 10.1016/j.ecolecon.2017.06.023
   Wang QW, 2018, ENERG ECON, V70, P12, DOI 10.1016/j.eneco.2017.12.014
   Weiler F, 2018, WORLD DEV, V104, P65, DOI 10.1016/j.worlddev.2017.11.001
   Winkler H, 2006, CLIM POLICY, V5, P469
   World Bank, 2013, CHINA 2030: BUILDING A MODERN, HARMONIOUS, AND CREATIVE SOCIETY, P1, DOI 10.1596/978-0-8213-9545-5
   Wu PI, 2019, J CLEAN PROD, V207, P225, DOI 10.1016/j.jclepro.2018.09.210
   [徐国泉 XU Guoquan], 2006, [中国人口·资源与环境, China Population·Resources and Environment], V16, P158
   Yang Y., 2016, STRATEGY POLICY DECI, V31, P820
   Yi WJ, 2011, ENERG POLICY, V39, P2407, DOI 10.1016/j.enpol.2011.01.063
   York R, 2003, AM SOCIOL REV, V68, P279, DOI 10.2307/1519769
   Yu SW, 2014, ENERG POLICY, V66, P630, DOI 10.1016/j.enpol.2013.11.025
   Zhang F., 2011, ECOLOGICAL EC, V2, P61
   Zhu QR., 2007, EXPLORATION INT EC T, V4, P9
NR 64
TC 4
Z9 4
U1 9
U2 22
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 MAR
PY 2023
VL 25
IS 3
BP 2487
EP 2508
DI 10.1007/s10668-022-02137-5
EA JAN 2022
PG 22
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA 9E6JK
UT WOS:000750362100001
DA 2025-01-10
ER

PT J
AU Sekhri, S
   Kumar, P
   Fürst, C
   Pandey, R
AF Sekhri, Simran
   Kumar, Praveen
   Fuerst, Christine
   Pandey, Rajiv
TI Mountain specific multi-hazard risk management framework (MSMRMF):
   Assessment and mitigation of multi-hazard and climate change risk in the
   Indian Himalayan Region
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Adaptation; Climate service; Coping capacity; Societal response;
   Resilience; Vulnerability
ID CHANGE VULNERABILITY; CHANGE ADAPTATION; WESTERN-HIMALAYAS; SOCIAL
   MEDIA; CHALLENGES; IMPACT; BIODIVERSITY; RESILIENCE; CAPACITY; FORESTS
AB Mountains are characterized by their specificities such as fragility, marginality and remoteness. They are prone to various hazards such as drought, flood, forest fire, landslide and therefore physical, ecological and social systems of the mountains are at risk. Climate change adds to intensifying the magnitude of multi-hazard risk in mountains. The present study attempts to evaluate risk induced by multi-hazard and climate change in the Indian Himalayan Region (IHR) using the Intergovernmental Panel on Climate Change (IPCC) framework. The proposed multi-hazard risk index was based on indicators from a broader domain and applied on 109 administrative districts of IHR. Exposure, sensitivity, adaptive capacity, and coping capacity were defined using comprehensive and sub-regional indicators identified through inductive and deductive approaches. The result showed that the differential risks among the districts of IHR were governed by the multiplicity of the factor such as demography, amenities, natural capital, partnership, technology and spatial specificities of the districts. The result highlighted the need of inclusion of spatial specificities for the risk mitigation in the IHR and therefore a Mountain Specific Risk Management Framework (MSMRMF) was proposed for sustaining the mountainous communities. The proposed MSMRMF contained two broad components as risk assessment and risk addressal. The framework detailed the risk mitigation and coping strategies (based on adjustment of internal and external strengths) for addressing risks. Risk mitigation was proposed to achieved through habitation resilience, natural capital enhancement, external partnerships, climate change adaptation, and technological interventions. The framework would provide an insight of risk and risk management strategies for the multi-hazard prone mountain regions for the sustainable development under the global change.
C1 [Sekhri, Simran] Forest Res Inst, Dehra Dun, Uttarakhand, India.
   [Sekhri, Simran] Brandenburg Univ Technol Cottbus Senftenberg, Brandenburg, Germany.
   [Kumar, Praveen] Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi, India.
   [Kumar, Praveen; Fuerst, Christine] Martin Luther Univ Halle Wittenberg, Inst Geog & Geosci, Halle, Germany.
   [Pandey, Rajiv] Indian Council Forestry Res & Educ, Dehra Dun, Uttarakhand, India.
C3 Indian Council of Forestry Research & Education (ICFRE); Forest Research
   Institute (FRI); Jawaharlal Nehru University, New Delhi; Martin Luther
   University Halle Wittenberg; Indian Council of Forestry Research &
   Education (ICFRE)
RP Pandey, R (corresponding author), Indian Council Forestry Res & Educ, Dehra Dun, Uttarakhand, India.
EM rajivfri@yahoo.com
RI , Rajiv/N-9631-2019; Fürst, Christine/H-8682-2012; Kumar,
   Praveen/AHC-0969-2022
OI Pandey, Rajiv/0000-0003-4849-775X; Kumar, Praveen/0000-0002-3122-1397;
   sekhri, simran/0000-0002-0734-5250
CR Action on climate today (ACT), 2016, KNOWL RED POV COMB C
   Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   Ahmed B, 2019, INT J DISAST RISK RE, V35, DOI 10.1016/j.ijdrr.2019.01.002
   Alamgir M, 2014, SMALL-SCALE FOR, V13, P445, DOI 10.1007/s11842-014-9264-8
   Alexander DE, 2014, SCI ENG ETHICS, V20, P717, DOI 10.1007/s11948-013-9502-z
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2017, IND STAT FOR REP
   [Anonymous], 2008, Handbook on Constructing Composite Indicators: Methodology and User Guide
   [Anonymous], 2008, Risk Governance. Coping with Uncertainty in a Complex World
   Azadi H, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104488
   Bajracharya SS., 2011, The status of glaciers in the Hindu Kush-Himalayan region, DOI [DOI 10.53055/ICIMOD.551, 10.53055/ICIMOD.551]
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Beroya-Eitner MA, 2016, ECOL INDIC, V60, P329, DOI 10.1016/j.ecolind.2015.07.001
   Bharali S, 2011, CURR SCI INDIA, V101, P855
   Bhatta G D., 2016, Climate and Development, V8, P145, DOI DOI 10.1080/17565529.2015.1016883
   Birkmann J, 2013, NAT HAZARDS, V67, P193, DOI 10.1007/s11069-013-0558-5
   Birkmann J., 2011, WORLDRISKREPORT, P13
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Brooks N., 2003, VULNERABILITY RISK A
   Cardona O.D, 2004, MAPPING VULNERABILIT, P37
   Cardona OD, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P65
   Carpignano A, 2009, J RISK RES, V12, P513, DOI 10.1080/13669870903050269
   Carreño ML, 2007, NAT HAZARDS, V40, P137, DOI 10.1007/s11069-006-0008-8
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   CRED, 2019, NAT DIS 2018
   [崔鹏 Cui Peng], 2014, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V10, P103
   Das S, 2019, CLIMATIC CHANGE, V152, P291, DOI 10.1007/s10584-018-2292-1
   Delmonaco G., 2006, Report on new methodology for multi-risk assessment and the harmonisation of different natural risk maps. Deliverable 3.1
   DSC, 2018, DIS SCOR CARD STAT U
   DSC, 2018, DIS SCOR CARD STAT U, VII
   Dufty N, 2012, AUST J EMERG MANAG, V27, P40
   Duke G., 2014, ECOSYSTEM SERVICES G, P325
   Eakin H, 2006, ANNU REV ENV RESOUR, V31, P365, DOI 10.1146/annurev.energy.30.050504.144352
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   Ericksson M., 2009, CHANGING HIMALAYAS I
   Fernandez Lauren S, 2002, Prehosp Disaster Med, V17, P67
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Forest Survey of India, 2017, STAT FOR REP
   Forest Survey of India, 2003, STAT FOR REP
   Freeman P., 2001, Vulnerability of infrastructure to climate variability: how does this affect infrastructure lending policies
   Gaur V.S., 2018, Report of Working Group II: Sustainable Tourism in the Indian Himalayan Region-Contributing to Sustainable Development
   Gautam M.R., 2013, 6516 WORLD BANK DEV
   Gerlitz JY, 2017, CLIM DEV, V9, P124, DOI 10.1080/17565529.2016.1145099
   Gill JC, 2016, EARTH SYST DYNAM, V7, P659, DOI 10.5194/esd-7-659-2016
   Gill JC, 2014, REV GEOPHYS, V52, P680, DOI 10.1002/2013RG000445
   Gupta A.T., 2018, Open Water Journal, V5, P2
   Gupta AK, 2020, ECOL INDIC, V109, DOI 10.1016/j.ecolind.2019.105787
   Gupta AK, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.105512
   Hamilton L.S., 2002, INT UNION CONSERV NA, V33, P20
   Hatai LD, 2008, AGR EC RES REV, V21, P273
   Hein L, 2015, CURR OPIN ENV SUST, V14, P86, DOI 10.1016/j.cosust.2015.04.002
   Huang CM, 2010, BMC MED INFORM DECIS, V10, DOI 10.1186/1472-6947-10-57
   IDEA, 2005, TECHNICAL REPORT
   IHCAP, 2018, Indian himalayan climate adaptation programme-climate vulnerability assessment for the INDIAN himalayan region using a common framework
   International Rivers, 2008, MOUNTAINS CONCRETE D
   IYENGAR NS, 1982, ECON POLIT WEEKLY, V17, P2047
   Jha AK, 2010, SAFER HOMES, STRONGER COMMUNITIES: A HANDBOOK FOR RECONSTRUCTING AFTER NATURAL DISASTERS, P1, DOI 10.1596/978-0-8213-8045-1
   Jing F., 2010, 6 ICIMOD
   Joint Monitoring Programme (JMP) for Water Supply Sanitation and Hygiene, DRINK WAT SAN HYG SC
   Kappes MS, 2012, NAT HAZARDS, V64, P1925, DOI 10.1007/s11069-012-0294-2
   Kumar S., 2012, LOW CARBON EC, V3, P39, DOI 10.4236/lce.2012.32006
   Lavell Allan., 2003, Local Level Risk Management
   Lutz W., 2013, Demography and human development: Education and population projections. UNDP Human Development Report Office: Occasional Paper 2013/04
   Mabon L, 2019, LANDSCAPE URBAN PLAN, V187, P105, DOI 10.1016/j.landurbplan.2019.03.013
   Madhura RK, 2015, CLIM DYNAM, V44, P1157, DOI 10.1007/s00382-014-2166-9
   Maiti S, 2017, ECOL INDIC, V77, P105, DOI 10.1016/j.ecolind.2017.02.006
   Mamgain R.P., 2004, THESIS
   Margaret A., 2014, CLIMATE DISASTER RES
   Mishra S., 2014, MEASURING HDI OLD NE
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   National Wetland Atlas, 2011, NAT WETL ATL
   Negi GCS, 2012, TROP ECOL, V53, P345
   Nkem J., 2007, Journal of SAT Agricultural Research, V4, P1
   OBrien K., 2004, 04 CICERO
   Omerkhil N, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105863
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   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
   Pandey R, 2012, SMALL-SCALE FOR, V11, P119, DOI 10.1007/s11842-011-9172-0
   Papadimitriou F, 2012, LANDSCAPE RES, V37, P591, DOI 10.1080/01426397.2011.650628
   Papadimitriou F, 2009, ECOL INFORM, V4, P48, DOI 10.1016/j.ecoinf.2009.01.001
   Pathak D., 2010, TECHNICAL REPORT, P5
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pelling M, 2010, PROG HUM GEOG, V34, P21, DOI 10.1177/0309132509105004
   Pelling Mark., 2001, Social Nature. Theory, Practice
   Prasetio EA, 2012, PROCD SOC BEHV, V52, P150, DOI 10.1016/j.sbspro.2012.09.451
   Ravindranath NH, 2011, CURR SCI INDIA, V101, P384
   Romieu E, 2010, SUSTAIN SCI, V5, P159, DOI 10.1007/s11625-010-0112-2
   Sakai P., 2017, PARAQUARIA NAT, V5, P19
   Sakurai M, 2019, PROG DISASTER SCI, V2, DOI 10.1016/j.pdisas.2019.100012
   Sati V., 2014, Sustainable Livelihood Strategies and Options
   Scheuer S, 2011, NAT HAZARDS, V58, P731, DOI 10.1007/s11069-010-9666-7
   Sharma B, 2015, ECOSYST SERV, V12, P84, DOI 10.1016/j.ecoser.2015.02.007
   Sharma E., 2009, STATUS GLACIERS HIND
   Sharma J, 2013, CARBON MANAG, V4, P403, DOI [10.4155/CMT.13.35, 10.4155/cmt.13.35]
   Sharma M.L., 2001, ISET J EARTHQUAKE TE, V38, P413
   Sheikh MA, 2020, ECOL INDIC, V111, DOI 10.1016/j.ecolind.2019.106025
   Srinivasan V, 2013, GLOBAL ENVIRON CHANG, V23, P229, DOI 10.1016/j.gloenvcha.2012.10.002
   Tonmoy FN, 2019, CLIMATIC CHANGE, V153, P539, DOI 10.1007/s10584-019-02367-z
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Twigg John., 2004, Good Practice Review: Disaster risk reduction, Mitigation and preparedness in development and emergency programming
   UAPCC, 2014, UTT ACT PLAN CLIM CH
   UNDP, 2015, GEND EQ HUM DEV MEAS
   UNEP, 2007, ENV VULN EM PERSP
   UNISDR, 2007, WORDS ACT GUID IMPL
   UNISDR, 2004, LIVING WITH RISK
   Vaidya RA, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P389, DOI 10.1007/978-3-319-92288-1_11
   Varkey S., 2005, B WHO
   Voora V., 2008, The natural capital approach: a concept paper
   Wani S.A., 2013, Curr Agri Res, V1, P45, DOI DOI 10.12944/CARJ.1.1.06
   Wasteland Atlas of India, 2011, WAST ATL IND
   Watson R, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, pIX
   Welle T., 2013, Measuring vulnerability to natural hazards: Towards disaster resilient societies, V2nd, P219
   Wester P, 2019, HINDU KUSH HIMALAYA ASSESSMENT: MOUNTAINS, CLIMATE CHANGE, SUSTAINABILITY AND PEOPLE, P1, DOI 10.1007/978-3-319-92288-1
   Wymann vonDach S., 2017, SAFER LIVES LIVELIHO
   Xu JC, 2014, CLIMATIC CHANGE, V124, P93, DOI 10.1007/s10584-014-1090-7
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Zhou Y, 2014, RISK ANAL, V34, P614, DOI 10.1111/risa.12193
NR 120
TC 60
Z9 65
U1 2
U2 62
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 2020
VL 118
AR 106700
DI 10.1016/j.ecolind.2020.106700
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 OC2CF
UT WOS:000578967500008
OA hybrid
DA 2025-01-10
ER

PT J
AU Theodory, TF
AF Theodory, Theobald Frank
TI Understanding the relevance of indigenous knowledge on climate change
   adaptation among mixed farmers in the Ngono River Basin, Tanzania
SO AFRICAN JOURNAL OF SCIENCE TECHNOLOGY INNOVATION & DEVELOPMENT
LA English
DT Article
DE indigenous knowledge; climate change; adaptation; mixed farmers
ID LOCAL PERCEPTIONS
AB Climate change poses major threats to people and ecosystems. In many areas, climate change impacts have affected the availability of basic necessities including freshwater, food security, and energy. Developing countries are more adversely impacted by climate change and are less prepared to cope with its impacts. Over the years, local communities in these countries have been using their local based knowledge commonly known as indigenous knowledge (IK) to adapt to any form of uncertainty including climate change. This article assesses the IK used by the mixed farmers in Tanzania to adapt to the impacts of climate change. The study that informed this article was conducted in Missenyi and Muleba Districts, Kagera Region along the Ngono River Basin in Tanzania. It employed different techniques and methods to gather information from both primary and secondary sources including focus group discussions, key informant interviews, observation and desk reviews. The findings revealed that local communities within the basin have developed a sophisticated body of knowledge to withstand impacts of climate change. This knowledge is socially constructed and embedded within the socio-cultural context of the local communities. The findings further established that IK is mostly used in a situation of long drought season, infestation of diseases and pests for both livestock and crops as well as during occurrence of strong winds. In such circumstances, most oft-cited adaptation practices used include farming and grazing in wetlands, growing of drought resistant crops, using locally made pesticides, and grain storage, to mention but a few. The article recommends that despite the fact that some IK seems to be helpful at the local level, it is necessary that local communities are assisted in their adaptive strategies so that they can respond to climate change effectively and enhance their resilience.
C1 [Theodory, Theobald Frank] Mzumbe Univ, Inst Dev Studies, Ctr Environm Poverty & Sustainable Dev, Morogoro, Tanzania.
RP Theodory, TF (corresponding author), Mzumbe Univ, Inst Dev Studies, Ctr Environm Poverty & Sustainable Dev, Morogoro, Tanzania.
EM fttheodory@mzumbe.ac.tz
RI Theodory, Theobald Frank/HDM-7029-2022
FU German Academic Exchange Service
FX I am grateful for the financial support from the German Academic
   Exchange Service that helped me to conduct this study successfully. I
   also would like to thank the anonymous reviewers whose comments enriched
   this paper.
CR Ajani EN., 2013, Asian J Agric Ext Econ Soc, DOI [10.9734/ajaees/2013/1856, DOI 10.9734/AJAEES/2013/1856]
   [Anonymous], CONSILIENCE J SUSTAI
   [Anonymous], 1992, United Nations Framework Convention on Climate Change
   Audefroy F. J., 2017, MEXICO INT J SUSTAIN, V6
   Ayers J, 2010, PROG DEV STUD, V10, P161, DOI 10.1177/146499340901000205
   Berkes F., 2001, Conservation Ecology, V5, P18, DOI DOI 10.5751/ES-00342-050218
   Berkes Fikret., 2005, BREAKING ICE RENEWAB
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Briggs J, 2004, THIRD WORLD Q, V25, P661, DOI 10.1080/01436590410001678915
   Burton I., 2009, Earthscan Reader on Adaptation to Climate Change, eds, P89
   Chanza N, 2013, Indilinga Afr. J. Ind. Know. Syst, V12, P203
   Chaudhary P., 2011, BIOL LETTERS, V17
   de Wit S., 2015, 1448 GERM RES FDN
   Egeru A, 2012, INDIAN J TRADIT KNOW, V11, P217
   Eguavoen I., 2015, HDB CLIMATE CHANGE A, P1183
   Gebreyes M, 2018, ERDKUNDE, V72, P135, DOI 10.3112/erdkunde.2018.02.05
   Ghorbani M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05414-180215
   Green D, 2010, CLIMATIC CHANGE, V100, P239, DOI 10.1007/s10584-010-9804-y
   ICSU, 2002, ICSU STUD GROUP SCI
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Maweu J.M., 2011, THOUGHT PRACTICE J P, V3/2, P35
   Msuya J., 2007, International Review of Information Ethics, V7, P1
   Mugambiwa SS, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.388
   Naanyu M., 2013, THESIS
   Nkomwa EC, 2014, PHYS CHEM EARTH, V67-69, P164, DOI 10.1016/j.pce.2013.10.002
   Nyong A., 2007, MITIG ADAPT STRAT GL, V2007
   Ogalleh SA, 2012, SUSTAINABILITY-BASEL, V4, P3302, DOI 10.3390/su4123302
   Paavola J, 2008, ELGAR ORIG REF, P11
   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]
   Robinson J. B., 2001, International Journal of Global Environmental Issues, V1, P130, DOI 10.1504/IJGENVI.2001.000974
   Salick Jan., 2007, INDIGENOUS PEOPLES C
   Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004
   Senanayake S.G.J.N., 2006, The Journal of Agricultural Sciences, V2, DOI [10.4038/jas.v2i1.8117, DOI 10.4038/JAS.V2I1.8117]
   Shankar D., 2005, SciDev. Net. Policy Briefs
   Sillitoe P, 2002, AM ANTHROPOL, V104, P1162, DOI 10.1525/aa.2002.104.4.1162
   Sillitoe P, 1998, CURR ANTHROPOL, V39, P223, DOI 10.1086/204722
   Soriano MA, 2017, J MT SCI-ENGL, V14, P1455, DOI 10.1007/s11629-016-4250-6
   Srikantaiah D., 2008, THESIS
   Stott PA, 2002, NATURE, V416, P723, DOI 10.1038/416723a
   Tanner T, 2011, IDS BULL-I DEV STUD, V42, P1, DOI 10.1111/j.1759-5436.2011.00217.x
   Taremwa K. N., 2017, J SOCIAL SCI, V46
   Theodory F. T., 2016, THESIS
   Varshney U, 1995, MILCOM 95 - CONFERENCE RECORD, VOLS 1-3, P26, DOI 10.1109/MILCOM.1995.483265
   Warrick C. O., 2011, THESIS
   Yanda PZ., 2011, Managing a changing climate in Africa: Local level vulnerabilities and adaptation experiences
NR 45
TC 13
Z9 13
U1 2
U2 12
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2042-1338
EI 2042-1346
J9 AFR J SCI TECHNOL IN
JI Afr. J. Sci. Technol. Innov. Dev.
PD JAN 2
PY 2021
VL 13
IS 1
BP 51
EP 59
DI 10.1080/20421338.2020.1816615
EA OCT 2020
PG 9
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA QD9OI
UT WOS:000582966700001
DA 2025-01-10
ER

PT J
AU Xiang, ZC
   Bailey, RT
   Nozari, S
   Husain, Z
   Kisekka, I
   Sharda, V
   Gowda, P
AF Xiang, Zaichen
   Bailey, Ryan T.
   Nozari, Soheil
   Husain, Zainab
   Kisekka, Isaya
   Sharda, Vaishali
   Gowda, Prasanna
TI DSSAT-MODFLOW: A new modeling framework for exploring groundwater
   conservation strategies in irrigated areas
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Groundwater modeling; DSSAT; MODFLOW; Irrigation; Integrated modeling
ID MANAGEMENT; DEPLETION; INTEGRATION; SYSTEMS; REGION
AB Groundwater models are often used to assess the impact of climate or management strategies on groundwater resources in arid and semiarid regions of the world. However, these models do not account for crop growth and crop yield, and thus cannot be used for evaluating long-term impacts of climate and management strategies on water use efficiency and farm profitability of agricultural systems while managing the aquifers sustainably. This study presented a linkage between DSSAT, an agronomic model, and MODFLOW, a groundwater flow model. The linkage between these two models occurred on an annual basis, with rates of irrigation and deep percolation from an ensemble of field-scale DSSAT simulations converted to pumping rates and recharge rates for the MODFLOW simulation. MODFLOW simulated groundwater head, which can be used to update saturated thickness and thereby well capacities for each pumping well in the model domain. Simulated well capacities were then used to constrain irrigation applications in the DSSAT simulations during the following growing season. Python scripts were used to convert output from one model to input files for the other model. The DSSAT-MODFLOW modeling system was applied to the Ogallala aquifer underlying Finney County, Kansas, a region experiencing significant groundwater depletion due to irrigation practices, and was tested against observed water table elevation and crop yield. Over a decadal period, well capacity decreased by >50 % for many pumping wells in the county. A no-irrigation scenario for this same time period resulted in average water table elevation increasing by 2 m, but also a 70 % decline in crop yield. Additional work is needed to balance groundwater conservation with crop yield. The DSSAT-MODFLOW modeling system can be used in regions worldwide to assess changes in irrigation technologies, crop selection, and climate change adaptation strategies.
C1 [Xiang, Zaichen; Bailey, Ryan T.; Nozari, Soheil] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA.
   [Husain, Zainab; Kisekka, Isaya] Univ Calif Davis, Dept Land Air & Water Resources Biol & Agr Engn, Davis, CA 95616 USA.
   [Sharda, Vaishali] Kansas State Univ, Dept Biol & Agr Engn, Manhattan, KS 66506 USA.
   [Gowda, Prasanna] USDA ARS, Grazinglands Res Lab, El Reno, OK 73036 USA.
C3 Colorado State University; University of California System; University
   of California Davis; Kansas State University; United States Department
   of Agriculture (USDA)
RP Xiang, ZC (corresponding author), Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA.
EM xzckay@colostate.edu; rtbailey@colostate.edu;
   Soheil.Nozari@colostate.edu; zhusain@ucdavis.edu; ikisekka@ucdavis.edu;
   vsharda@ksu.edu; Prasanna.Gowda@ars.usda.gov
RI xiang, zaichen/GLN-3535-2022; Nozari, Soheil/GXG-3269-2022; Kisekka,
   Isaya/ABE-8416-2020
OI XIANG, ZAICHEN/0000-0003-3565-9131; Kisekka, Isaya/0000-0002-2460-7777;
   Nozari, Soheil/0000-0002-0098-5837
FU National Institute of Food and Agriculture, U.S. Department of
   Agriculture [2016-68007-25066]
FX This work was supported by the National Institute of Food and
   Agriculture, U.S. Department of Agriculture, under award number
   2016-68007-25066, "Sustaining agriculture through adaptive management to
   preserve the Ogallala aquifer under a changing climate." We also thank
   two anonymous reviewers for their helpful comments and suggestions in
   improving the content of the paper.
CR Aeschbach-Hertig W, 2012, NAT GEOSCI, V5, P853, DOI [10.1038/ngeo1617, 10.1038/NGEO1617]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 1400B USGS
   [Anonymous], [No title captured]
   [Anonymous], 2005, MODFLOW 2005 US GEOL
   [Anonymous], [No title captured]
   Araya A, 2018, AGR WATER MANAGE, V203, P261, DOI 10.1016/j.agwat.2018.03.010
   Araya A, 2017, AGR SYST, V150, P86, DOI 10.1016/j.agsy.2016.10.007
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Bailey RT, 2016, HYDROL PROCESS, V30, P4420, DOI 10.1002/hyp.10933
   Bulatewicz T, 2010, HYDROL EARTH SYST SC, V14, P521, DOI 10.5194/hess-14-521-2010
   Cai XM, 2003, J WATER RES PLAN MAN, V129, P4, DOI 10.1061/(ASCE)0733-9496(2003)129:1(4)
   Dawoud MA, 2005, WATER RESOUR MANAG, V19, P585, DOI 10.1007/s11269-005-5603-z
   Ebraheem AM, 2003, ENVIRON GEOL, V44, P433, DOI 10.1007/s00254-003-0778-1
   Famiglietti JS, 2014, NAT CLIM CHANGE, V4, P945, DOI 10.1038/nclimate2425
   Gollehon N., 2013, Groundwater Irrigation and Water Withdrawals: The Ogallala Aquifer Initiative, V15, DOI [10.1787/261513543751, DOI 10.1787/261513543751]
   Guru M, 2001, INT SER PROG WAT RES, V4, P321
   Haacker EMK, 2019, J AM WATER RESOUR AS, V55, P6, DOI 10.1111/1752-1688.12722
   Haacker EMK, 2016, GROUNDWATER, V54, P231, DOI 10.1111/gwat.12350
   Hadded R, 2013, WATER RESOUR MANAG, V27, P1981, DOI 10.1007/s11269-013-0266-7
   Hanson RT, 2010, GROUND WATER, V48, P674, DOI 10.1111/j.1745-6584.2010.00730.x
   Harman W.L., 1966, An economic evaluation of irrigation water use over time on Texas High Plains farms with a rapidly diminishing water supply
   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
   Kisekka I., 2015, 2015 ASABE IA IRR S, P1
   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
   Mao XS, 2005, HYDROL PROCESS, V19, P2071, DOI 10.1002/hyp.5667
   McGuire V.L., 2014, 20145218 US GEOL SUR, V5218, P14, DOI DOI 10.3133/SIR20145218
   Motagh M, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033814
   Mylopoulos N, 2007, WATER RESOUR MANAG, V21, P469, DOI 10.1007/s11269-006-9025-3
   Pokhrel YN, 2015, WATER RESOUR RES, V51, P78, DOI 10.1002/2014WR015602
   Rad MR, 2020, RESOUR ENERGY ECON, V59, DOI 10.1016/j.reseneeco.2019.101129
   Raes D, 2009, AQUACROP FAO CROP MO
   Rolim J., 2006, Computers in Agriculture and Natural Resources (Proc. 4th WCCA, Orlando, Florida, USA, July 24-26, P781
   Rosenberg NJ, 1999, CLIMATIC CHANGE, V42, P677, DOI 10.1023/A:1005424003553
   Scanlon BR, 2012, P NATL ACAD SCI USA, V109, P9320, DOI 10.1073/pnas.1200311109
   Schmid W., 2006, User Guide for the Farm Process FMP1 for the U.S. Geological Survey's Modula Three-Dimensional Finite-Difference Ground-Water Flow Model, MODFLOW-2000
   Strack O.D.L., 1989, GROUNDWATER MECH
   Tsuji G., 1994, DSSAT version 3, Transfer
   Varela-Ortega C, 2011, GLOBAL ENVIRON CHANG, V21, P604, DOI 10.1016/j.gloenvcha.2010.12.001
   Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562
   Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571
   Werner AD, 2010, HYDROGEOL J, V18, P281, DOI 10.1007/s10040-009-0465-8
   WILLIAMS JR, 1989, T ASAE, V32, P497
   Wu Y, 2015, AGR WATER MANAGE, V152, P222, DOI 10.1016/j.agwat.2015.01.016
   Xu X, 2012, J HYDROL, V412, P170, DOI 10.1016/j.jhydrol.2011.07.002
   Yang YH, 2006, AGR WATER MANAGE, V82, P25, DOI 10.1016/j.agwat.2005.07.020
   Zhang YQ, 2014, HYDROGEOL J, V22, P397, DOI 10.1007/s10040-013-1069-x
NR 51
TC 32
Z9 41
U1 7
U2 48
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-3774
EI 1873-2283
J9 AGR WATER MANAGE
JI Agric. Water Manage.
PD APR 1
PY 2020
VL 232
AR 106033
DI 10.1016/j.agwat.2020.106033
PG 13
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA LC4IP
UT WOS:000525288400007
DA 2025-01-10
ER

PT J
AU Duong, TT
   Brewer, TD
   Luck, J
   Zander, KK
AF Thi Tam Duong
   Brewer, Tom D.
   Luck, Jo
   Zander, Kerstin K.
TI Understanding biosecurity threat perceptions across Vietnamese
   smallholder farmers in Australia
SO CROP PROTECTION
LA English
DT Article
DE Australia; Biosecurity threats; Crop production; Horticulture;
   Perceptions; Vietnamese farmers
ID CLIMATE-CHANGE ADAPTATION; PROTECTION MOTIVATION; GENDER-DIFFERENCES;
   RISK PERCEPTIONS; MENTAL-HEALTH; BELIEFS; STRATEGIES; MANAGEMENT;
   DETERMINANTS; EXPERIENCE
AB The ongoing expansion of global trade and human mobility are causing increased occurrences of biosecurity outbreaks, particularly of invasive pests which threaten biodiversity and agricultural production. Smallholder farmers are particularly vulnerable, as they are generally not well-prepared for such incursions. In Australia, farmers with non-English speaking backgrounds are more likely to be influenced by these increasing risks and may need long-term adaptive support. Understanding farmers' perceptions of biosecurity threats, and what drives these perceptions, is a prerequisite for designing effective biosecurity management policies to support livelihoods and food security. In this study, we aim to understand the perceptions of smallholder farmers' on biosecurity threats and the factors influencing their perceptions. Data was obtained from a survey of 101 Vietnamese farmers across three geographically dispersed locations in Australia (Northern Territory, South Australia, and Western Australia). Using the Protection Motivation Theory, we found that 43% of farmers perceived biosecurity threats to be one of the key agricultural risks, preceded by weather-related risk (48%) and produce price fluctuations (45%). Belief in the existence of biosecurity threats and the sources of information on biosecurity matters had a significant positive influence on farmers' overall perceptions of biosecurity threats on four dimensions of their life. English levels had a significant influence on their perceptions of biosecurity threats on crop output whereas farm size, gender, and farmers' age did not significantly affect farmers' overall perceptions of biosecurity threats. The findings of this study could be used by government agencies and industry associations to better target support for farmers to minimise the threats of pest and disease incursions. Support could be delivered through the introduction of relevant extension services and education programs with more transparent and direct communications of risk and compliances, improving farmers' knowledge and belief in biosecurity and fostering trust between farmers and the government.
C1 [Thi Tam Duong; Zander, Kerstin K.] Charles Darwin Univ, Northern Inst, Ellengowan Dr, Casuarina, NT 0810, Australia.
   [Brewer, Tom D.] Univ Wollongong, ANCORS, Northfield Ave, Wollongong, NSW 2522, Australia.
   [Luck, Jo] Hort Innovat, Plant Biosecur Res Initiat, Level 5,606 St Kilda Rd, Melbourne, Vic 3004, Australia.
C3 Charles Darwin University; University of Wollongong; Plant Biosecurity
   Cooperative Research Centre; Horticulture Innovation Australia
RP Duong, TT (corresponding author), Charles Darwin Univ, Room 106,Bldg Red 6,Ellengowan Dr, Casuarina, NT 0810, Australia.
EM 1986ttd@gmail.com
RI Luck, Jo-Anne/AAV-1283-2020; Zander, Kerstin/M-2888-2013
OI Zander, Kerstin/0000-0002-2237-1801
FU Plant Biosecurity Cooperative Research Centre Australia; Charles Darwin
   University, Australia; Charles Darwin University -Human Research Ethics
   Committee, Australia [H15059]
FX The authors express their gratitude to Vietnamese farmers, officer,
   scientists and consultants in the Northern Territory, South Australia
   and Western Australia who participated in, and contributed to, the
   study. We acknowledge Plant Biosecurity Cooperative Research Centre
   Australia and Charles Darwin University, Australia for providing support
   and funding for this research. Thanks to Jeremy Garnett for proofreading
   the manuscript. We would like to thank two referees who offered us
   valuable suggestions to improve this manuscript. Ethics approval of this
   study was granted by Charles Darwin University -Human Research Ethics
   Committee, Australia (No. H15059).
CR [Anonymous], 1999, 774 USDA EC RES SERV
   [Anonymous], 1986, PSYCHOL MARKET, DOI [DOI 10.1002/MAR.4220030307, DOI 10.1002/mar.4220030307]
   [Anonymous], AUSTR J EMERGENCY MA
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Bergfjord OJ, 2013, EMIR J FOOD AGR, V25, P555, DOI 10.9755/ejfa.v25i7.13584
   BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205
   Boisvert RN, 2012, ECON MODEL, V29, P1921, DOI 10.1016/j.econmod.2012.06.007
   Bolkan S, 2016, COMMUN EDUC, V65, P24, DOI 10.1080/03634523.2015.1039557
   Cuthbert KL, 2013, PLANT PROT Q, V28, P66
   Damalas CA, 2016, SCI TOTAL ENVIRON, V571, P730, DOI 10.1016/j.scitotenv.2016.07.042
   Dang Hoa., 2012, The International Journal of Climate Change: Impacts and Responses, V3, P255
   de Zwart O, 2009, INT J BEHAV MED, V16, P30, DOI 10.1007/s12529-008-9008-2
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Doane AN, 2016, COMPUT HUM BEHAV, V60, P508, DOI 10.1016/j.chb.2016.02.010
   Finucane ML, 2000, HEALTH RISK SOC, V2, P159, DOI 10.1080/713670162
   Floyd DL, 2000, J APPL SOC PSYCHOL, V30, P407, DOI 10.1111/j.1559-1816.2000.tb02323.x
   FLYNN J, 1994, RISK ANAL, V14, P1101, DOI 10.1111/j.1539-6924.1994.tb00082.x
   Fox-Rogers L, 2016, J HYDROL, V543, P330, DOI 10.1016/j.jhydrol.2016.10.009
   Fraser CE, 2005, INT J SOC PSYCHIATR, V51, P340, DOI 10.1177/0020764005060844
   Fraser-Mackenzie P, 2014, RISK ANAL, V34, P1846, DOI 10.1111/risa.12210
   Frilay J., 2018, 1813 ABARES
   Gilmour J, 2011, J RISK RES, V14, P281, DOI 10.1080/13669877.2010.528560
   Gregoire A, 2002, OCCUP MED-OXFORD, V52, P471, DOI 10.1093/occmed/52.8.471
   Greiner R, 2009, AGR SYST, V99, P86, DOI 10.1016/j.agsy.2008.10.003
   Hardaker J.B., 2015, Coping with Risk in Agriculture, V3rd
   Heikkila J, 2011, AGRON SUSTAIN DEV, V31, P119, DOI 10.1051/agro/2010003
   Hernández-Jover M, 2012, PREV VET MED, V106, P284, DOI 10.1016/j.prevetmed.2012.03.008
   Hillocks RJ, 1999, CROP PROT, V18, P199, DOI 10.1016/S0261-2194(99)00017-4
   Hitayezu P, 2017, CLIM RISK MANAG, V17, P123, DOI 10.1016/j.crm.2017.07.001
   Hoa LD, 2014, VIETNAM ENV MANAGEME, V54, P331
   Jakubowicz A., 2004, VIETNAMESE AUSTR GEN
   Jolly CM, 2009, RISK ANAL, V29, P1395, DOI 10.1111/j.1539-6924.2009.01276.x
   Keshavarz M, 2016, J ARID ENVIRON, V127, P128, DOI 10.1016/j.jaridenv.2015.11.010
   Lane SE, 2018, RISK ANAL, V38, P653, DOI 10.1111/risa.12873
   Lawrence J, 2014, NAT HAZARDS, V74, P1773, DOI 10.1007/s11069-014-1288-z
   Legesse B, 2005, J RISK RES, V8, P383, DOI 10.1080/1366987042000192426
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Likert R., 1932, ARCH PSYCHOL, V140, P53
   Madsen JM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056851
   Medlen P., 2016, TASMANIA BANS WA STR
   Mellor D, 2004, J ETHN MIGR STUD, V30, P631, DOI 10.1080/13691830410001699496
   Menapace L, 2013, AM J AGR ECON, V95, P384, DOI 10.1093/ajae/aas107
   Meuwissen MPM, 2001, LIVEST PROD SCI, V69, P43, DOI 10.1016/S0301-6226(00)00247-5
   Morgan WC, 2003, COMMUNICATION ASIAN
   Nampanya S, 2012, TRANSBOUND EMERG DIS, V59, P117, DOI 10.1111/j.1865-1682.2011.01247.x
   Neuwirth K, 2000, RISK ANAL, V20, P721, DOI 10.1111/0272-4332.205065
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   O'Brien K., 2015, CUCUMBER GREEN MOTTL
   OBrien K., 2017, VIETNAMESE FARMERS F
   Ochieng J, 2017, NAT RESOUR FORUM, V41, P195, DOI 10.1111/1477-8947.12111
   Oladele I., 2005, Australian Journal of Adult Learning, V45, P223
   Palmer S, 2009, SOCIOL RURALIS, V49, P360, DOI 10.1111/j.1467-9523.2009.00495.x
   Pi SM, 2011, SOC BEHAV PERSONAL, V39, P275, DOI 10.2224/sbp.2011.39.2.275
   Pires G., 2006, J CONSUMER BEHAV, V4, P118, DOI [https://doi.org/10.1002/cb.163, DOI 10.1002/CB.163]
   Prokopy LS, 2015, ENVIRON MANAGE, V56, P492, DOI 10.1007/s00267-015-0504-2
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Slimak MW, 2006, RISK ANAL, V26, P1689, DOI 10.1111/j.1539-6924.2006.00832.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]
   Streeton Rosemarie, 2004, Nurse Res, V12, P35
   Sulewski P, 2014, STUD AGRIC ECON, V116, P140, DOI 10.7896/j.1414
   Tabachnick B.G., 2013, PEARSON2012
   Tobin H., 2010, RIRDC PUBLICATION, V10/002
   van der Linden S, 2014, EUR J SOC PSYCHOL, V44, P430, DOI 10.1002/ejsp.2008
   WALKER PT, 1983, AGR ECOSYST ENVIRON, V9, P119, DOI 10.1016/0167-8809(83)90038-5
   Wang WY, 2017, SCI TOTAL ENVIRON, V590, P22, DOI 10.1016/j.scitotenv.2017.03.053
NR 66
TC 3
Z9 3
U1 1
U2 28
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0261-2194
EI 1873-6904
J9 CROP PROT
JI Crop Prot.
PD MAR
PY 2019
VL 117
BP 147
EP 155
DI 10.1016/j.cropro.2018.11.022
PG 9
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA HI1TN
UT WOS:000456228000020
DA 2025-01-10
ER

PT J
AU Bottero, A
   D'Amato, AW
   Palik, BJ
   Bradford, JB
   Fraver, S
   Battaglia, MA
   Asherin, LA
AF Bottero, Alessandra
   D'Amato, Anthony W.
   Palik, Brian J.
   Bradford, John B.
   Fraver, Shawn
   Battaglia, Mike A.
   Asherin, Lance A.
TI Density-dependent vulnerability of forest ecosystems to drought
SO JOURNAL OF APPLIED ECOLOGY
LA English
DT Article
DE climate change adaptation; drought impacts; ecosystem services; Pinus
   ponderosa; Pinus resinosa; semi-arid forests; temperate forests;
   thinning; tree population density
ID CLIMATE-CHANGE; SCOTS PINE; DIE-OFF; MORTALITY; VEGETATION; MANAGEMENT;
   GROWTH; CONSEQUENCES; SILVICULTURE; COMPETITION
AB 1. Climate models predict increasing drought intensity and frequency for many regions, which may have negative consequences for tree recruitment, growth and mortality, as well as forest ecosystem services. Furthermore, practical strategies for minimizing vulnerability to drought are limited. Tree population density, a metric of tree abundance in a given area, is a primary driver of competitive intensity among trees, which influences tree growth and mortality. Manipulating tree population density may be a mechanism for moderating drought-induced stress and growth reductions, although the relationship between tree population density and tree drought vulnerability remains poorly quantified, especially across climatic gradients.
   2. In this study, we examined three long-term forest ecosystem experiments in two widely distributed North American pine species, ponderosa pine Pinus ponderosa (Lawson & C. Lawson) and red pine Pinus resinosa (Aiton), to better elucidate the relationship between tree population density, growth and drought. These experiments span a broad latitude and aridity range and include tree population density treatments that have been purposefully maintained for several decades. We investigated how tree population density influenced resistance (growth during drought) and resilience (growth after drought compared to pre-drought growth) of stand-level growth during and after documented drought events.
   3. Our results show that relative tree population density was negatively related to drought resistance and resilience, indicating that trees growing at lower densities were less vulnerable to drought. This result was apparent in all three forest ecosystems, and was consistent across species, stand age and drought intensity.
   4. Synthesis and applications. Our results highlighted that managing pine forest ecosystems at low tree population density represents a promising adaptive strategy for reducing the adverse impacts of drought on forest growth in coming decades. Nonetheless, the broader applicability of our findings to other types of forest ecosystems merits additional investigation.
C1 [Bottero, Alessandra; D'Amato, Anthony W.] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA.
   [Bottero, Alessandra; Palik, Brian J.] US Forest Serv, USDA, Northern Res Stn, Grand Rapids, MN 55744 USA.
   [D'Amato, Anthony W.] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT 05405 USA.
   [Bradford, John B.] US Geol Survey, Southwest Biol Sci Ctr, Flagstaff, AZ 86001 USA.
   [Fraver, Shawn] Univ Maine, Sch Forest Resources, Orono, ME 04469 USA.
   [Battaglia, Mike A.; Asherin, Lance A.] US Forest Serv, USDA, Rocky Mt Res Stn, Ft Collins, CO 80526 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   United States Department of Agriculture (USDA); United States Forest
   Service; University of Vermont; United States Department of the
   Interior; United States Geological Survey; University of Maine System;
   University of Maine Orono; United States Department of Agriculture
   (USDA); United States Forest Service
RP Bottero, A (corresponding author), Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA.; Bottero, A (corresponding author), US Forest Serv, USDA, Northern Res Stn, Grand Rapids, MN 55744 USA.
EM dr.alessandrabottero@gmail.com
RI Bottero, Alessandra/AAR-8459-2021; D'Amato, Anthony/AAV-3245-2021;
   Bradford, John/E-5545-2011
OI Bradford, John/0000-0001-9257-6303; Bottero,
   Alessandra/0000-0002-0410-2675; Palik, Brian/0000-0003-0300-9644;
   Battaglia, Michael/0000-0002-4260-5804
FU USDA Forest Service Northern Research Station; Rocky Mountain Research
   Station; Department of the Interior - Northeast Climate Science Center;
   University of Minnesota Agricultural Experiment Station
FX We thank A. Bale, K. Gill, T. Heffernan, D. Kastendick, P. Klockow, S.
   Lodge, D. McKenzie and A. Wildeman for assistance with data collection
   and processing of tree-ring samples. We are grateful to the countless
   scientists and technicians that established and maintained the long-term
   research areas presented in this study. Two anonymous reviewers, the
   Associate Editor, and the Editor provided valuable inputs and
   suggestions that helped to improve the content of this article. Funding
   and logistic support was provided by the USDA Forest Service Northern
   Research Station and Rocky Mountain Research Station, the Department of
   the Interior - Northeast Climate Science Center, and the University of
   Minnesota Agricultural Experiment Station. 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
   Adams M.B., 2004, EXPT FORESTS RANGES
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   [Anonymous], 2009, INTRO PLANT POPULATI
   [Anonymous], DRYAD DIGITAL REPOSI
   [Anonymous], ECOLOGICAL APPL
   [Anonymous], RMRP33 USDA FOR SERV
   [Anonymous], 2008, Global Aridity Index and PET Database v1 (Global_AI_PET_v1)
   Bailey JD, 2008, US FOR SERV RMRS-P, P100
   Barlow J, 2004, PHILOS T R SOC B, V359, P367, DOI 10.1098/rstb.2003.1423
   Begueria S., 2013, SPEI: Calculation of the Standardized Precipitation-Evaporation Index
   Bigler C, 2006, ECOSYSTEMS, V9, P330, DOI 10.1007/s10021-005-0126-2
   Biondi F, 1999, ECOL APPL, V9, P216, DOI 10.1890/1051-0761(1999)009[0216:CTRCAR]2.0.CO;2
   Bradford JB, 2009, CAN J FOREST RES, V39, P489, DOI 10.1139/X08-201
   Breshears DD, 2005, P NATL ACAD SCI USA, V102, P15144, DOI 10.1073/pnas.0505734102
   Brown PM, 2005, ECOLOGY, V86, P3030, DOI 10.1890/05-0034
   Bunn AG, 2008, DENDROCHRONOLOGIA, V26, P115, DOI 10.1016/j.dendro.2008.01.002
   Callaway RM, 1997, ECOLOGY, V78, P1958, DOI 10.1890/0012-9658(1997)078[1958:CAFASA]2.0.CO;2
   Castagneri D, 2015, TREES-STRUCT FUNCT, V29, P1699, DOI 10.1007/s00468-015-1250-z
   Choat B, 2012, NATURE, V491, P752, DOI 10.1038/nature11688
   Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972
   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
   D'Amato AW, 2011, FOREST ECOL MANAG, V262, P803, DOI 10.1016/j.foreco.2011.05.014
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Fernández-de-Uña L, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122255
   Fowler G. W., 1988, Northern Journal of Applied Forestry, V5, P28
   HilleRisLambers J, 2002, NATURE, V417, P732, DOI 10.1038/nature00809
   Holdsworth AR, 1997, ECOL APPL, V7, P713, DOI 10.1890/1051-0761(1997)007[0713:FIASLR]2.0.CO;2
   HOLMES R L, 1983, Tree-Ring Bulletin, V43, P69
   Jack SB, 1996, FOREST ECOL MANAG, V86, P205, DOI 10.1016/S0378-1127(96)03770-X
   Kerhoulas LP, 2013, J APPL ECOL, V50, P1311, DOI 10.1111/1365-2664.12139
   Keyser, 2008, USDA FOREST SERVICE
   Kohler M, 2010, EUR J FOREST RES, V129, P1109, DOI 10.1007/s10342-010-0397-9
   Lévesque M, 2014, NEW PHYTOL, V203, P94, DOI 10.1111/nph.12772
   Lindner M, 2014, J ENVIRON MANAGE, V146, P69, DOI 10.1016/j.jenvman.2014.07.030
   Lloret F, 2011, OIKOS, V120, P1909, DOI 10.1111/j.1600-0706.2011.19372.x
   Long J. N., 1990, Western Journal of Applied Forestry, V5, P93
   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, 2011, TRENDS ECOL EVOL, V26, P523, DOI 10.1016/j.tree.2011.06.003
   McIntyre PJ, 2015, P NATL ACAD SCI USA, V112, P1458, DOI 10.1073/pnas.1410186112
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Reineke LH, 1933, J AGRIC RES, V46, P0627
   Rigling A, 2013, GLOBAL CHANGE BIOL, V19, P229, DOI 10.1111/gcb.12038
   Rowland L, 2015, NATURE, V528, P119, DOI 10.1038/nature15539
   Savage M, 1996, ECOSCIENCE, V3, P310, DOI 10.1080/11956860.1996.11682348
   Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000
   Smith W.B., 2001, FOREST RESOURCES US
   Speer J.H., 2011, FUNDAMENTALS TREE RI
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Vicente-Serrano SM, 2013, P NATL ACAD SCI USA, V110, P52, DOI 10.1073/pnas.1207068110
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Williams AP, 2013, NAT CLIM CHANGE, V3, P292, DOI [10.1038/NCLIMATE1693, 10.1038/nclimate1693]
   Woodall CW, 2005, FOREST ECOL MANAG, V216, P367, DOI 10.1016/j.foreco.2005.05.050
   Zhang J, 2015, P NATL ACAD SCI USA, V112, P4009, DOI 10.1073/pnas.1420844112
   Zhao MS, 2010, SCIENCE, V329, P940, DOI [10.1126/science.1192666, 10.1126/science.1189590]
NR 59
TC 194
Z9 219
U1 7
U2 162
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0021-8901
EI 1365-2664
J9 J APPL ECOL
JI J. Appl. Ecol.
PD DEC
PY 2017
VL 54
IS 6
BP 1605
EP 1614
DI 10.1111/1365-2664.12847
PG 10
WC Biodiversity Conservation; Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FM6TX
UT WOS:000415194000003
OA hybrid
DA 2025-01-10
ER

PT J
AU Ellison, JC
   Mosley, A
   Helman, M
AF Ellison, Joanna C.
   Mosley, Alison
   Helman, Michael
TI Assessing atoll shoreline condition to guide community management
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Mangrove; Wetland; Land-cover change; Oceania; Protected areas;
   Littoral; Kiribati
ID CLIMATE-CHANGE ADAPTATION; PACIFIC ISLANDS; TARAWA ATOLL; RESILIENCE;
   EROSION; VULNERABILITY; PROTECTION; TRENDS; AREA
AB Resilience assessment allows targeted management, and many low Pacific island atolls have no baseline condition data or monitoring, and are threatened by sea-level rise. Ecological resilience is a useful management concept where an ecosystem risks losing its ability to recover, potentially driving itself to an undesirable state, which for atoll shorelines is beach erosion without recovery, and mangrove dieback. This study used spatial change analysis to assess resilience condition indicators for lagoon shore habitats of an atoll protected area, methods developed in the region to facilitate improved community based assessment and management decision making. The lagoon shore was the focus, being potentially more vulnerable to human impacts owing to higher population densities, and potentially more vulnerable to relative sea level rise owing low gradients and elevations. Results showed mangrove vegetation to be in healthy condition, and spatial analysis of coastal change found that the mangrove area expanded 1998-2013, increasing by 17%, at a rate of 604 m(2) per year. Results from the southern beach coast showed littoral vegetation to be in poor condition, with profile evidence of recent erosion, confirmed by spatial analysis results of loss of a previous progradation trend. Spatial analysis results therefore confirmed the veracity of community methods for assessing mangrove and beach condition, allowing confidence in their use in assessment of resilience state and rehabilitation needs. Sediment supply is helpful to coastal resilience, and analysis of beach sand found it to be 99.9% carbonate, derived from foraminifera and fragmented shell and coral, and continued supply is essential to maintain resilience. Beach sediment from such biogenic sources is derived from offshore reefs, making resilience assessment and monitoring of those habitats a further priority. Suitable timeframes are needed for managers to assess resilience, necessitating a need for longer term monitoring projects in the region. (C) 2016 The Author(s). Published by Elsevier Ltd.
C1 [Ellison, Joanna C.; Mosley, Alison] Univ Tasmania, Sch Land & Food, Locked Bag 1370, Launceston, Tas, Australia.
   [Helman, Michael] Visual Sci Commun, Hobart, Tas, Australia.
C3 University of Tasmania
RP Ellison, JC (corresponding author), Univ Tasmania, Sch Land & Food, Locked Bag 1370, Launceston, Tas, Australia.
EM Joanna.Ellison@utas.edu.au
RI Ellison, Joanna/C-2372-2014
OI Ellison, Joanna/0000-0003-0692-8347
FU SPREP project: Implementation of Coastal Ecosystem based Adaptation
   (EbA) to Climate Change in Kiribati - Australian Aid International
   Climate Change Adaptation Initiative project
FX This study was funded by the SPREP project: Implementation of Coastal
   Ecosystem based Adaptation (EbA) to Climate Change in Kiribati, which
   was supported by the Australian Aid International Climate Change
   Adaptation Initiative project. Thanks are extended to the Kiribati
   Government: Tiaotin Enari of the Lands Department for providing
   historical aerial imagery, and Arawaia Moiwa, Tenikoiti Kaitu and Keebwa
   Teremita of the Environment and Conservation Division who assisted with
   the fieldwork. The authors thank anonymous reviewers who provided
   comments that allowed improvements to the paper.
CR Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   [Anonymous], 2009, J COAST DEV
   [Anonymous], MANUAL SURVEY TROPIC
   [Anonymous], REG WETL ACT PLAN PA
   [Anonymous], 2014, CLIM CHANG 2014 IMP
   [Anonymous], 1998, Geospatial positioning accuracy standards, part 3: National standard for spatial data accuracy
   Anthony KRN, 2015, GLOBAL CHANGE BIOL, V21, P48, DOI 10.1111/gcb.12700
   Baba S., 2011, ISMEGLOMIS, V9, P11
   Baba S., 2009, ISME GLOMIS ELECT J, V7, P9
   Becker M, 2012, GLOBAL PLANET CHANGE, V80-81, P85, DOI 10.1016/j.gloplacha.2011.09.004
   Bird E., 2008, Coastal Geomorphology: An Introduction, Vsecond, DOI 10.1029/01-o00219
   Biribo N, 2013, SUSTAIN SCI, V8, P345, DOI 10.1007/s11625-013-0210-z
   Brown B., 2007, Resilience Thinking Applied to the Mangroves of Indonesia
   Carpenter K., 1998, FAO SPECIES ICENTILI, V1
   DasGupta R, 2015, J COAST CONSERV, V19, P85, DOI 10.1007/s11852-014-0369-1
   Davidson JL, 2016, ECOL SOC, V21, DOI 10.5751/ES-08450-210227
   Dixon MJR, 2016, BIOL CONSERV, V193, P27, DOI 10.1016/j.biocon.2015.10.023
   Donner S., 2013, EOS, V93, P169
   Drever CR, 2006, CAN J FOREST RES, V36, P2285, DOI 10.1139/X06-132
   Duvat V, 2013, SUSTAIN SCI, V8, P423, DOI 10.1007/s11625-013-0215-7
   Duvat V, 2013, SUSTAIN SCI, V8, P363, DOI 10.1007/s11625-013-0205-9
   Ellison J, 2015, COASTAL ECOSYSTEM BA
   Ellison J.C., 2012, MANUAL MANGROVE MONI
   Ellison J.C., 2009, COASTAL WETLANDS ECO, P564
   Ellison JC, 2015, WETL ECOL MANAG, V23, P115, DOI 10.1007/s11273-014-9397-8
   Ellison JC, 2009, WETL ECOL MANAG, V17, P169, DOI 10.1007/s11273-008-9097-3
   Engle NL, 2014, MITIG ADAPT STRAT GL, V19, P1295, DOI 10.1007/s11027-013-9475-x
   Folk R.L., 1966, SEDIMENTOLOGY, V6, P73, DOI [DOI 10.1111/J.1365-3091.1966.TB01572.X, 10.1111/j.1365-3091.1966.tb01572.x]
   Folk R.L., 1980, PETROLOGY SENIMENARY
   Folk RL., 1957, Journal of Sedimentary Petrology, V27, P3, DOI [10.1306/74d70646-2b21-11d7-8648000102c1865, 10.1306/74D70646-2B21-11D7-8648000102C1865D, DOI 10.1306/74D70646-2B21-11D7-8648000102C1865D]
   Forbes, 1995, SOPAC TECH REP, V255, P1
   Forbes D.L., 1997, SOPAC MISC REP, V277, P1
   Ford M, 2013, REMOTE SENS ENVIRON, V135, P130, DOI 10.1016/j.rse.2013.03.027
   Ford M, 2012, J COASTAL RES, V28, P11, DOI [10.2112/JCOASTRES-D-11-00008.1, 10.2112/JCOASTRES-D-U-00008.1]
   Gillie R., 1997, Journal of Coastal Research, V24, P173
   Gilman E., 2006, CLIM RES, V32, P161
   Gilman E., 2006, PACIFIC ISLAND MANGR
   Hashim R, 2010, ESTUAR COAST SHELF S, V86, P118, DOI 10.1016/j.ecss.2009.10.021
   Hoegh-Guldberg O, 2007, SCIENCE, V318, P1737, DOI 10.1126/science.1152509
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Johnston E, 2014, J COAST CONSERV, V18, P617, DOI 10.1007/s11852-014-0334-z
   Jupiter Stacy, 2014, Pacific Conservation Biology, V20, P206
   Kamali B., 2010, J PHYS SCI, V5, P1401
   Krumbein W.C., SEPM J SEDIMENT RES, V8, P1938, DOI 10.1306/D4269008-2B26-11D7-8648000102C1865D
   Lovelock CE, 2015, NATURE, V526, P559, DOI 10.1038/nature15538
   Maynard JA, 2015, BIOL CONSERV, V192, P109, DOI 10.1016/j.biocon.2015.09.001
   McClanahan T.R., 2012, ONE, V7
   McLeod E, 2006, Managing mangroves for resilience to climate change
   Mimura N, 1998, J COASTAL RES, V14, P37
   Müller F, 2016, ECOL INDIC, V65, P10, DOI 10.1016/j.ecolind.2015.10.066
   Mumby PJ, 2013, CORAL REEFS, V32, P213, DOI 10.1007/s00338-012-0966-0
   Mumby PJ, 2014, CURR OPIN ENV SUST, V7, P22, DOI 10.1016/j.cosust.2013.11.021
   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
   Pala C, 2014, SCIENCE, V345, P496, DOI 10.1126/science.345.6196.496
   PILKEY O.H., 1967, Sedimentology, V8, P311, DOI DOI 10.1111/J.1365-3091.1967.TB01330.X
   Rand M.C., 1976, Standard methods for the examination of water and wastewater
   Seidel H, 2010, EC VALUE PACIFIC OCE
   Spalding M., 2010, WORLD MANGROVE ATLAS
   Spencer D.W., 1963, J SEDIMENT RES, V33, P180, DOI DOI 10.1306/74D70DF8-2B21-11D7-8648000102C1865D
   Stewart H.B., 1958, Bull. Am. Assoc. Pet. Geol, V42, P2567, DOI DOI 10.1306/0BDA5BFA-16BD-11D7-8645000102C1865D
   Suzuki T., 2009, MANGROVE SCI, V6, P17
   Tamin NM, 2011, ESTUAR COAST SHELF S, V94, P334, DOI 10.1016/j.ecss.2011.07.009
   Teariki-Ruatu N., 2013, RAMSAR SITE 2143 NOO
   THOM BG, 1991, EARTH SURF PROCESSES, V16, P113, DOI 10.1002/esp.3290160203
   Tonkin and Taylor International Ltd, 2013, 750968 TONK TAYL INT
   Valiela I., 2009, Global loss of coastal habitats. Rates, P107
   Van Looy K, 2016, ECOL INDIC, V70, P498, DOI 10.1016/j.ecolind.2016.06.036
   Wilson B., 2013, J. Foraminifer. Res., V43, P314, DOI [10.2113/gsjfr.43.3.314, DOI 10.2113/GSJFR.43.3.314]
   Yates ML, 2013, J COASTAL RES, V29, P870, DOI 10.2112/JCOASTRES-D-12-00129.1
NR 70
TC 19
Z9 23
U1 2
U2 35
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD APR
PY 2017
VL 75
BP 321
EP 330
DI 10.1016/j.ecolind.2016.12.031
PG 10
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA EQ8KP
UT WOS:000398334600034
OA Green Accepted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Van Looy, K
   Piffady, J
   Floury, M
AF Van Looy, Kris
   Piffady, Jeremy
   Floury, Mathieu
TI At what scale and extent environmental gradients and climatic changes
   influence stream invertebrate communities?
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Functional diversity; Life-history traits; Metacommunity elements;
   Scale-hierarchy; Flow variation; Hydromorphological alteration
ID MACROINVERTEBRATE COMMUNITIES; METACOMMUNITY STRUCTURE; SPECIES
   COOCCURRENCE; ECOLOGICAL DATA; SPATIAL SCALES; RIVER; FRAMEWORK; TRAITS;
   BIODIVERSITY; ASSEMBLAGES
AB In a context of increasing landscape modifications and climatic changes, scale hierarchy becomes an ever more crucial issue to integrate in the analysis of drivers and stressors of biological communities, especially in river networks. To cope with this issue, we developed (i) spatial hierarchical models of functional diversity of stream invertebrate communities to assess the relative influence of local-vs. regional-scale factors in structuring community assembly, and (ii) analysis of metacommunity elements to determine the ecological processes behind the structuring. The spatial structuring of benthic invertebrate cominunities was investigated over 568 sites in South-eastern France. Community structure was mainly driven by the altitudinal gradient and spring flow variation at broad scales, with functional diversity gradually decreasing with elevation and being maximized at intermediate levels of flow variability. According to the 'elements of metacommunity structure' analysis, the prevailing influence of the altitudinal gradient was also supported by a Clenientsian structuration of invertebrate communities. Conversely, the influence of observed climatic changes in temperature and rainfall was weak and observed only at fine scales. As a result, natural environmental filters were stronger drivers of the functional diversity of communities than human-induced stressors (e.g. water pollution and hydromorphological alterations). More broadly, our results suggest that management needs to embrace the possibilities of gathering high spatial and taxonomical resolution data when analysing and predicting flow variation and climate change effects in order to preserve and restore functionally diverse communities. Moreover, to develop environmental flow schemes or restoration and climate change adaptation strategies for freshwater communities, local and regional processes need to be addressed simultaneously; equally responsible as drivers of community diversity. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Van Looy, Kris; Piffady, Jeremy; Floury, Mathieu] Irstea, UR MALY, Milieux Aquat, Ecol & Pollut, 5 rue Doua CS70077, F-69626 Villeurbanne, France.
   [Van Looy, Kris] Julich Res Ctr, Inst Bio & Geosci IBG 3, Leo Brandt Strasse, D-52428 Julich, Germany.
C3 INRAE; Helmholtz Association; Research Center Julich
RP Van Looy, K (corresponding author), Julich Res Ctr, Inst Bio & Geosci IBG 3, Leo Brandt Strasse, D-52428 Julich, Germany.
EM Icvan.looy@fz-juelich.de; jeremy.piffady@irstea.fr;
   mathieu.floury@irstea.fr
RI ; Van Looy, Kris/D-4928-2012
OI Piffady, Jeremy/0000-0001-7431-2881; Van Looy, Kris/0000-0001-5436-2320
CR [Anonymous], CLIM CHANG WAT AD IS
   [Anonymous], 2009, QUAL EAU PREL MACR A
   [Anonymous], PLOS ONE
   [Anonymous], ECOLOGY LETT
   Archaimbault V, 2005, HYDROBIOLOGIA, V551, P171, DOI 10.1007/s10750-005-4459-9
   Bergerot B, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0084138
   Blanchet FG, 2008, ECOL MODEL, V215, P325, DOI 10.1016/j.ecolmodel.2008.04.001
   Blanchet FG, 2011, OECOLOGIA, V166, P357, DOI 10.1007/s00442-010-1867-y
   Bonada N, 2007, GLOBAL CHANGE BIOL, V13, P1658, DOI 10.1111/j.1365-2486.2007.01375.x
   Borcard D, 2002, ECOL MODEL, V153, P51, DOI 10.1016/S0304-3800(01)00501-4
   Borcard D, 2004, ECOLOGY, V85, P1826, DOI 10.1890/03-3111
   Brown BL, 2010, J ANIM ECOL, V79, P571, DOI 10.1111/j.1365-2656.2010.01668.x
   Cadotte MW, 2006, ECOLOGY, V87, P1008, DOI 10.1890/0012-9658(2006)87[1008:MIOCRA]2.0.CO;2
   Carlisle DM, 2014, RIVER RES APPL, V30, P29, DOI 10.1002/rra.2626
   Chase JM, 2013, ECOL LETT, V16, P17, DOI 10.1111/ele.12112
   CHEVENET F, 1994, FRESHWATER BIOL, V31, P295, DOI 10.1111/j.1365-2427.1994.tb01742.x
   CONNELL JH, 1978, SCIENCE, V199, P1302, DOI 10.1126/science.199.4335.1302
   Dallas T, 2014, ECOGRAPHY, V37, P402, DOI 10.1111/j.1600-0587.2013.00695.x
   Dewson ZS, 2007, J N AM BENTHOL SOC, V26, P401, DOI 10.1899/06-110.1
   Domisch S, 2013, GLOBAL CHANGE BIOL, V19, P752, DOI 10.1111/gcb.12107
   Dorazio RM, 2010, ECOLOGY, V91, P2466, DOI 10.1890/09-1033.1
   Dray S, 2006, ECOL MODEL, V196, P483, DOI 10.1016/j.ecolmodel.2006.02.015
   Dunbar MJ, 2010, FRESHWATER BIOL, V55, P226, DOI 10.1111/j.1365-2427.2009.02306.x
   Eros T, 2012, FRESHWATER BIOL, V57, P1914, DOI 10.1111/j.1365-2427.2012.02842.x
   Feld CK, 2007, FRESHWATER BIOL, V52, P1380, DOI 10.1111/j.1365-2427.2007.01749.x
   Feld CK, 2014, FRESHWATER BIOL, V59, P233, DOI 10.1111/fwb.12260
   Floury M, 2013, GLOBAL CHANGE BIOL, V19, P1085, DOI 10.1111/gcb.12124
   Gilman SE, 2010, TRENDS ECOL EVOL, V25, P325, DOI 10.1016/j.tree.2010.03.002
   Gotelli NJ, 2009, ECOL LETT, V12, P873, DOI 10.1111/j.1461-0248.2009.01353.x
   Göthe E, 2014, ECOL SOC, V19, DOI 10.5751/ES-06750-190315
   Grenouillet G, 2011, ECOGRAPHY, V34, P9, DOI 10.1111/j.1600-0587.2010.06152.x
   Griffith DA, 2006, ECOLOGY, V87, P2603, DOI 10.1890/0012-9658(2006)87[2603:SMIETF]2.0.CO;2
   Heino J, 2015, FRESHWATER BIOL, V60, P845, DOI 10.1111/fwb.12533
   Heino J, 2015, J ANIM ECOL, V84, P427, DOI 10.1111/1365-2656.12287
   Heino J, 2015, FRESHWATER BIOL, V60, P223, DOI 10.1111/fwb.12502
   Heino J, 2013, ECOGRAPHY, V36, P926, DOI 10.1111/j.1600-0587.2012.00057.x
   Heino J, 2009, BIOL REV, V84, P39, DOI 10.1111/j.1469-185X.2008.00060.x
   Jähnig SC, 2010, J APPL ECOL, V47, P671, DOI 10.1111/j.1365-2664.2010.01807.x
   Johnson PTJ, 2013, J APPL ECOL, V50, P34, DOI 10.1111/1365-2664.12022
   Kail J, 2013, SCI TOTAL ENVIRON, V454, P40, DOI 10.1016/j.scitotenv.2013.02.096
   Kail J, 2012, ECOL INDIC, V18, P63, DOI 10.1016/j.ecolind.2011.09.038
   Kennen JG, 2010, ECOHYDROLOGY, V3, P88, DOI 10.1002/eco.99
   Laliberté E, 2010, ECOLOGY, V91, P299, DOI 10.1890/08-2244.1
   Larsen S, 2014, GLOBAL CHANGE BIOL, V20, P51, DOI 10.1111/gcb.12355
   Legendre P., 2013, PCNM: MEM spatial eigenfunction and principal coordinate analyses
   Leibold MA, 2004, ECOL LETT, V7, P601, DOI 10.1111/j.1461-0248.2004.00608.x
   Leibold MA, 2002, OIKOS, V97, P237, DOI 10.1034/j.1600-0706.2002.970210.x
   Leps M, 2015, SCI TOTAL ENVIRON, V536, P546, DOI 10.1016/j.scitotenv.2015.07.083
   Logue JB, 2011, TRENDS ECOL EVOL, V26, P482, DOI 10.1016/j.tree.2011.04.009
   López-González C, 2012, J BIOGEOGR, V39, P177, DOI 10.1111/j.1365-2699.2011.02590.x
   Manderson J, 2011, MAR ECOL PROG SER, V438, P1, DOI 10.3354/meps09308
   Mondy CP, 2012, ECOL INDIC, V18, P452, DOI 10.1016/j.ecolind.2011.12.013
   Mouillot D, 2013, TRENDS ECOL EVOL, V28, P167, DOI 10.1016/j.tree.2012.10.004
   Niyogi DK, 2007, ENVIRON MANAGE, V39, P213, DOI 10.1007/s00267-005-0310-3
   Pavoine S, 2011, BIOL REV, V86, P792, DOI 10.1111/j.1469-185X.2010.00171.x
   Poff NL, 2006, J N AM BENTHOL SOC, V25, P730, DOI 10.1899/0887-3593(2006)025[0730:FTNONA]2.0.CO;2
   Poff NL, 2010, J N AM BENTHOL SOC, V29, P1441, DOI 10.1899/10-030.1
   Poff NL, 2010, FRESHWATER BIOL, V55, P194, DOI 10.1111/j.1365-2427.2009.02272.x
   Presley SJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P185, DOI 10.1111/j.1466-8238.2009.00505.x
   R Core Team, 2012, R: A Language and Environment for Statistical Computing
   Stoll S, 2016, SCI TOTAL ENVIRON, V553, P495, DOI 10.1016/j.scitotenv.2016.02.126
   Sundermann A, 2013, ECOL INDIC, V27, P83, DOI 10.1016/j.ecolind.2012.12.003
   Tachet H., 2010, Invertebres d'eau douce: systematique, biologie, ecologie
   Tonkin JD, 2016, ECOL COMPLEX, V25, P35, DOI 10.1016/j.ecocom.2015.12.002
   Tonkin JD, 2014, FRESHWATER BIOL, V59, P1843, DOI 10.1111/fwb.12387
   Usseglio-Polatera P, 2000, FRESHWATER BIOL, V43, P175, DOI 10.1046/j.1365-2427.2000.00535.x
   Van Looy K, 2014, ECOL MODEL, V273, P228, DOI 10.1016/j.ecolmodel.2013.11.010
   Van Looy K, 2015, ENVIRON MANAGE, V55, P1343, DOI 10.1007/s00267-015-0477-1
   Van Looy K, 2014, ECOL INDIC, V37, P10, DOI 10.1016/j.ecolind.2013.10.006
   Vidal JP, 2010, INT J CLIMATOL, V30, P1627, DOI 10.1002/joc.2003
   Villeneuve B, 2015, ECOL INDIC, V48, P88, DOI 10.1016/j.ecolind.2014.07.016
   Webb CT, 2010, ECOL LETT, V13, P267, DOI 10.1111/j.1461-0248.2010.01444.x
   Wood S.N., 2006, Generalized additive models: An introduction with R. Chapman and Hall
   Woodward G, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0274
NR 74
TC 7
Z9 8
U1 1
U2 75
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 34
EP 42
DI 10.1016/j.scitotenv.2016.12.009
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EM5LS
UT WOS:000395353600005
PM 27939995
DA 2025-01-10
ER

PT J
AU Reiter, D
   Meyer, W
   Parrott, L
AF Reiter, Dana
   Meyer, Wayne
   Parrott, Lael
TI Why do NRM regional planning processes and tools have limited effect?
   Presenting the perspective of the end user
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Climate change adaptation planning; End user; Environmental decision
   support system; Envisioning; Natural resource management; Stakeholder
   engagement
ID DECISION-SUPPORT-SYSTEMS; CLIMATE-CHANGE; ENVIRONMENTAL-MANAGEMENT;
   ENGAGEMENT; FRAMEWORK; QUEENSLAND; ADAPTATION
AB Natural resource managers are required to prepare a plan for managing the natural resources in their regions. Environmental decision support systems (EDSS) have been developed to assist managers and stakeholders make decisions about complex natural resource problems. Research has shown that these EDSS are valuable and used internationally. However, sustainability science literature reports that too often these natural resource management (NRM) plans are not consulted upon completion, and the EDSS are no longer used. To gain insight into why the EDSS are no longer used after the research and development phase of the NRM planning project, we have asked the stakeholders, as end users of the EDSS tool themselves, to share their perceptions of, and experience with development of the tool and then, the tool itself. This paper reports on the perspectives of the end users of an EDSS used in a South Australian NRM planning project from 2011 to 2013. The findings were mixed in that they show that the majority (90%) of respondents felt the EDSS had overall value, yet it was virtually abandoned after the completion of the planning project. Further, just over half of respondents reported that they thought that the EDSS should have been used on a regular basis after the pilot project ended. We conclude that genuine capacity development, aided by the EDSS, took place during the project. However, the lack of use of the EDSS after the pilot project finished was the result of failures both with researcher follow up and especially with the lack of commitment from government agencies who support and influence the array of end users. Unless agencies commit to the changed practices identified by end users that would support ongoing use of EDSS it is inevitable that the legacy value of EDSS development will remain limited.
C1 [Reiter, Dana] Queensland Univ Technol, Sch Civil Engn & Built Environm, Brisbane, Qld, Australia.
   [Meyer, Wayne] Univ Adelaide, Sch Biol Sci, Landscape Syst, Adelaide, SA, Australia.
   [Parrott, Lael] Univ British Columbia, Dept Earth Environm & Geog Sci, Kelowna, BC, Canada.
   [Parrott, Lael] Univ British Columbia, Dept Biol, Kelowna, BC, Canada.
C3 Queensland University of Technology (QUT); University of Adelaide;
   University of British Columbia; University of British Columbia
RP Reiter, D (corresponding author), Queensland Univ Technol, Sch Civil Engn & Built Environm, Brisbane, Qld, Australia.
EM dana.reiter@hdr.qut.edu.au
OI Meyer, Wayne/0000-0003-3477-9385
CR [Anonymous], 2013, CROSS SCALE BARRIERS
   [Anonymous], CLIMATE CHANGE PLANN
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   Beierle T.C., 1998, PUBLIC PARTICIPATION
   BIZIKOVA Livia., 2009, Challenges and Lessons Learned from Integrated Landscape Management (ILM) Projects
   Bohnet IC, 2011, LANDSCAPE ECOL, V26, P1179, DOI 10.1007/s10980-011-9640-0
   Campbell CA, 2015, SCI TOTAL ENVIRON, V534, P4, DOI 10.1016/j.scitotenv.2014.11.089
   Clear Horizon Consulting, 2016, STREAM 2 REG NRM PLA
   Cohen S, 2006, CLIMATIC CHANGE, V75, P331, DOI 10.1007/s10584-006-6336-6
   Courtney JF, 2001, DECIS SUPPORT SYST, V31, P17, DOI 10.1016/S0167-9236(00)00117-2
   Dahl AL, 2012, ECOL INDIC, V17, P14, DOI 10.1016/j.ecolind.2011.04.032
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Ernst KM, 2013, APPL GEOGR, V45, P22, DOI 10.1016/j.apgeog.2013.08.004
   GORRY GA, 1989, SLOAN MANAGE REV, V30, P49
   Hochman Z, 2011, AGR SYST, V104, P441, DOI 10.1016/j.agsy.2011.03.001
   Hurlimann AC, 2012, WIRES CLIM CHANGE, V3, P477, DOI 10.1002/wcc.183
   Jakeman AJ, 2006, ENVIRON MODELL SOFTW, V21, P602, DOI 10.1016/j.envsoft.2006.01.004
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Levin K, 2012, POLICY SCI, V45, P123, DOI 10.1007/s11077-012-9151-0
   Matthews T, 2015, ENVIRON PLANN C, V33, P1092, DOI 10.1068/c13206
   Matthies M, 2007, ENVIRON MODELL SOFTW, V22, P123, DOI 10.1016/j.envsoft.2005.09.005
   McIntosh BS, 2011, ENVIRON MODELL SOFTW, V26, P1389, DOI 10.1016/j.envsoft.2011.09.009
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Meyer W., 2013, ADAPTED FUTURE LANDS
   Meyer WS, 2016, SUSTAIN SCI, V11, P733, DOI 10.1007/s11625-015-0341-5
   Miller T.R., 2014, SUSTAINABILITY SCI
   Moretti C., 2009, LEARNING IMPLEMENTAT
   Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004
   Pert PL, 2010, AUST GEOGR, V41, P285, DOI 10.1080/00049182.2010.498037
   Pettit CJ, 2011, LANDSCAPE URBAN PLAN, V100, P231, DOI 10.1016/j.landurbplan.2011.01.001
   Reed MS, 2013, J ENVIRON MANAGE, V128, P345, DOI 10.1016/j.jenvman.2013.05.016
   Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014
   Rizzoli AE, 1997, ENVIRON MODELL SOFTW, V12, P237, DOI 10.1016/S1364-8152(97)00016-9
   Robinson J, 2011, TECHNOL FORECAST SOC, V78, P756, DOI 10.1016/j.techfore.2010.12.006
   Roux DJ, 2010, ENVIRON SCI POLICY, V13, P733, DOI 10.1016/j.envsci.2010.08.002
   Salter JD, 2009, J ENVIRON MANAGE, V90, P2090, DOI 10.1016/j.jenvman.2007.08.023
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   SIMON HA, 1959, AM ECON REV, V49, P253
   Talwar S, 2011, SCI PUBL POLICY, V38, P379, DOI 10.3152/030234211X12960315267615
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Voinov A, 2008, ECOL MODEL, V216, P197, DOI 10.1016/j.ecolmodel.2008.03.010
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Wells S, 2013, SYSTEMS, V1, P66, DOI 10.3390/systems1040066
NR 44
TC 1
Z9 2
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 2017
VL 18
BP 66
EP 74
DI 10.1016/j.crm.2017.09.001
PG 9
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FL8FE
UT WOS:000414484900006
OA gold
DA 2025-01-10
ER

PT J
AU Symstad, AJ
   Fisichelli, NA
   Miller, BW
   Rowland, E
   Schuurman, GW
AF Symstad, Amy J.
   Fisichelli, Nicholas A.
   Miller, Brian W.
   Rowland, Erika
   Schuurman, Gregor W.
TI Multiple methods for multiple futures: Integrating qualitative scenario
   planning and quantitative simulation modeling for natural resource
   decision making
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Adaptive management; Climate change adaptation; Management decision
   making; Quantitative simulation modeling; Scenario planning; Wind Cave
   National Park
ID CLIMATE-CHANGE; GREAT-PLAINS; PONDEROSA PINE; BLACK-HILLS; FIRE;
   ECOTONE; NORTH; TREE; GRASSLANDS; MANAGEMENT
AB Scenario planning helps managers incorporate climate change into their natural resource decision making through a structured "what-if" process of identifying key uncertainties and potential impacts and responses. Although qualitative scenarios, in which ecosystem responses to climate change are derived via expert opinion, often suffice for managers to begin addressing climate change in their planning, this approach may face limits in resolving the responses of complex systems to altered climate conditions. In addition, this approach may fall short of the scientific credibility managers often require to take actions that differ from current practice. Quantitative simulation modeling of ecosystem response to climate conditions and management actions can provide this credibility, but its utility is limited unless the modeling addresses the most impactful and management-relevant uncertainties and incorporates realistic management actions. We use a case study to compare and contrast management implications derived from qualitative scenario narratives and from scenarios supported by quantitative simulations. We then describe an analytical framework that refines the case study's integrated approach in order to improve applicability of results to management decisions. The case study illustrates the value of an integrated approach for identifying counterintuitive system dynamics, refining understanding of complex relationships, clarifying the magnitude and timing of changes, identifying and checking the validity of assumptions about resource responses to climate, and refining management directions. Our proposed analytical framework retains qualitative scenario planning as a core element because its participatory approach builds understanding for both managers and scientists, lays the groundwork to focus quantitative simulations on key system dynamics, and clarifies the challenges that subsequent decision making must address.
C1 [Symstad, Amy J.] US Geol Survey, Northern Prairie Wildlife Res Ctr, 26611 US Highway 385, Hot Springs, SD 57747 USA.
   [Fisichelli, Nicholas A.; Schuurman, Gregor W.] Natl Pk Serv, Nat Resource Stewardship & Sci, 1201 Oakridge Dr,Suite 200, Ft Collins, CO 80525 USA.
   [Miller, Brian W.] Colorado State Univ, US Geol Survey, Dept Interior, North Cent Climate Sci Ctr, 1499 Campus Delivery, Ft Collins, CO 80523 USA.
   [Rowland, Erika] Upper Saco Valley Land Trust, 2686 White Mt Rd, North Conway, NH 03860 USA.
   [Fisichelli, Nicholas A.] Schood Inst, Forest Ecol Program, Acad Natl Pk,POB 277, Winter Harbor, ME 04693 USA.
C3 United States Department of the Interior; United States Geological
   Survey; United States Department of the Interior; Colorado State
   University; United States Department of the Interior; United States
   Geological Survey
RP Symstad, AJ (corresponding author), US Geol Survey, Northern Prairie Wildlife Res Ctr, 26611 US Highway 385, Hot Springs, SD 57747 USA.
EM asymstad@usgs.gov
RI Miller, Brian/D-3005-2016
OI Miller, Brian/0000-0003-1716-1161
FU U.S. Geological Survey; U.S. National Park Service; Department of the
   Interior North Central Climate Science Center
FX This work was funded by the U.S. Geological Survey, the U.S. National
   Park Service, and the Department of the Interior North Central Climate
   Science Center. We thank the organizers, participants, and scientists
   involved in the case study's scenario planning workshop and quantitative
   simulations, as well as participants in the many other scenario planning
   workshops we have experienced, for their insights, which inspired 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 [Anonymous], 2002, CSIRO MK3 CLIMATE SY
   [Anonymous], 2013, 1424 NOAA NESDIS
   [Anonymous], DOWNSC CMIP3 CMIP5 C
   [Anonymous], NPSWICANRTR2013681
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], 2013, US SCEN EXPL CLIM CH
   [Anonymous], 2008, ENV FUTURES PRACTICE
   [Anonymous], WHAT ART SCENARIO TH
   [Anonymous], 2016, NPSNRSSNRR20161289
   [Anonymous], COASTAL ADAPTATION S
   [Anonymous], 2015, 20145089 US GEOL SUR
   [Anonymous], 2017, NAT COMMUN, DOI [DOI 10.1038/NCOMMS14542, DOI 10.1038/ncomms14542]
   [Anonymous], 144 NOAA NESDIS
   [Anonymous], NPSWICANRTR2014918
   [Anonymous], RESTORING LANDS COOR
   Archie KM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05187-170420
   Archie KM, 2014, MITIG ADAPT STRAT GL, V19, P569, DOI 10.1007/s11027-013-9449-z
   Bachelet D., 2001, MC1: A dynamic vegetation model for estimating the distribution of vegetation and associated carbon, nutrients, and water
   Barsugli J.J., 2013, Eos Trans. Am. Geophys. Union, V94, P424, DOI DOI 10.1002/2013EO460005
   BOCK JH, 1984, AM MIDL NAT, V112, P35, DOI 10.2307/2425454
   Bradfield R, 2005, FUTURES, V37, P795, DOI 10.1016/j.futures.2005.01.003
   Brown KJ, 2005, P NATL ACAD SCI USA, V102, P8865, DOI 10.1073/pnas.0503621102
   Brown PM, 2006, ECOLOGY, V87, P2500, DOI 10.1890/0012-9658(2006)87[2500:CEOFRA]2.0.CO;2
   Brown PM, 2008, ECOL APPL, V18, P1984, DOI 10.1890/07-1337.1
   Brown PM, 1999, ECOSCIENCE, V6, P539, DOI 10.1080/11956860.1999.11682563
   Buckland SM, 2001, J APPL ECOL, V38, P301, DOI 10.1046/j.1365-2664.2001.00603.x
   Byrd KB, 2015, LANDSCAPE ECOL, V30, P729, DOI 10.1007/s10980-015-0159-7
   Carpenter SR, 2005, ECOSYSTEMS, V8, P941, DOI 10.1007/s10021-005-0170-y
   Cobb AN, 2012, ENVIRON MODELL SOFTW, V38, P296, DOI 10.1016/j.envsoft.2012.06.012
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Detling JK, 1998, WILDLIFE SOC B, V26, P438
   Epstein HE, 2002, J BIOGEOGR, V29, P875, DOI 10.1046/j.1365-2699.2002.00701.x
   Fisichelli NA, 2014, FOREST ECOL MANAG, V327, P31, DOI 10.1016/j.foreco.2014.04.033
   HASUMI H, 2004, 1 K1
   Johns TC, 2003, CLIM DYNAM, V20, P583, DOI 10.1007/s00382-002-0296-y
   KERN JS, 1995, SOIL SCI SOC AM J, V59, P1126, DOI 10.2136/sssaj1995.03615995005900040026x
   Kern JS, 2000, SOIL SCI SOC AM J, V64, P382, DOI 10.2136/sssaj2000.641382x
   King DA, 2013, ECOL EVOL, V3, P5076, DOI 10.1002/ece3.877
   Krushelnycky P.D., 2016, Climate Change Responses, V3, DOI DOI 10.1186/S40665-016-0015-2
   Long AJ, 2013, HYDROL EARTH SYST SC, V17, P281, DOI 10.5194/hess-17-281-2013
   Mahmoud M, 2009, ENVIRON MODELL SOFTW, V24, P798, DOI 10.1016/j.envsoft.2008.11.010
   Mahmoud MI, 2011, ENVIRON MODELL SOFTW, V26, P873, DOI 10.1016/j.envsoft.2011.02.003
   Mallampalli VR, 2016, ENVIRON MODELL SOFTW, V82, P7, DOI 10.1016/j.envsoft.2016.04.011
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Miller BW, 2014, ECOL SOC, V19, DOI 10.5751/ES-06813-190341
   Miller BW, 2010, POPUL ENVIRON, V31, P401, DOI 10.1007/s11111-010-0110-4
   Morgan JA, 2004, ECOL APPL, V14, P208, DOI 10.1890/02-5213
   Morgan JA, 2007, P NATL ACAD SCI USA, V104, P14724, DOI 10.1073/pnas.0703427104
   Morgan Jack A., 2008, Rangelands, V30, P18, DOI 10.2111/1551-501X(2008)30[18:MIOGCF]2.0.CO;2
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Rickards L, 2014, ENVIRON PLANN C, V32, P641, DOI 10.1068/c12106
   Ripple WJ, 2007, FRONT ECOL ENVIRON, V5, P241, DOI 10.1890/1540-9295(2007)5[241:HTDFLC]2.0.CO;2
   Rowland E.R., 2014, CONSIDERING MULTIPLE
   Shafer SL, 2001, ECOSYSTEMS, V4, P200, DOI 10.1007/s10021-001-0004-5
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Smart AJ, 2007, RANGELAND ECOL MANAG, V60, P146, DOI 10.2111/05-099R4.1
   Wildcat D., 2009, Red alert! Saving the planet with indigenous knowledge
NR 58
TC 25
Z9 27
U1 1
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2017
VL 17
BP 78
EP 91
DI 10.1016/j.crm.2017.07.002
PG 14
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA FL8ER
UT WOS:000414483600007
OA gold
DA 2025-01-10
ER

PT J
AU Hagerman, SM
   Satterfield, T
AF Hagerman, Shannon M.
   Satterfield, Terre
TI Entangled judgments: Expert preferences for adapting biodiversity
   conservation to climate change
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change adaptation; Pro-ecological worldviews; Expert survey;
   Hubris; Biodiversity conservation
ID CULTURAL COGNITION; UNCERTAIN CLIMATE; RISK; PERCEPTIONS; MANAGEMENT;
   SCIENTISTS; BELIEFS; SUPPORT; SCIENCE; POLICY
AB A major challenge facing conservation experts is how to adapt biodiversity planning and practice to the impacts of climate change. To date, most commonly advocated adaptation actions mirror conventional approaches (e.g. protected areas) despite decades of concern regarding their efficacy and widespread discussion of less conventional, interventionist actions. This survey of 160 experts (scientists and practitioners with specialized knowledge of the implications of climate change for biodiversity conservation) seeks to explain this deep incongruity. Specifically, we quantify current preferences for a diverse set of adaptation actions, and examine the choice logics that underpin them. We find near unanimous agreement in principle with the need for extensive active management and restoration interventions given climate change. However, when interventionist actions are provided as options alongside conventional actions, experts overwhelming prefer the latter. Four hypotheses, developed by linking the conservation adaptation literature with that of preference formation and risk and decision making, explore enduring preferences for conventional actions. They are (1) judged most ecologically effective, least risky and best understood; (2) linked with pro-ecological worldviews, marked by positive affective feelings, and an aversion to the hubris of managing nature; (3) a function of trust in biodiversity governance; and/or (4) driven by demographic factors such as gender. Overall, we find that experts prefer conventional over unconventional actions because they are viewed as relatively more effective and less risky from an ecological point of view, and because they are linked with positive affect ratings, and worldviews that are strongly pro-ecological. We discuss the roles of value-based and affective cues in shaping policy outcomes for adaptation specifically, and sustainable resource management more broadly. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Hagerman, Shannon M.] Univ Washington, Climate Impacts Grp, Seattle, WA 98105 USA.
   [Satterfield, Terre] Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V6T 1Z4, Canada.
C3 University of Washington; University of Washington Seattle; University
   of British Columbia
RP Hagerman, SM (corresponding author), Univ Washington, Climate Impacts Grp, 3737 Brooklyn Ave NE, Seattle, WA 98105 USA.
EM shanh@u.washington.edu; terre.satterfield@ires.ubc.ca
OI Hagerman, Shannon/0000-0002-1830-6126
FU Social Science and Humanities Research Council (SSHRC) [756-2009-0599];
   SSHRC Research Development Initiative - Environmental Issues grant
   [820-2008-3020]
FX This research was financially supported by a Social Science and
   Humanities Research Council (SSHRC) Fellowship to SMH (no.
   756-2009-0599), and a SSHRC Research Development Initiative -
   Environmental Issues grant to TS (820-2008-3020). We thank two anonymous
   reviewers for their helpful comments and suggestions and Anton Pitts and
   Mary B. Collins for comments on a draft of this paper and factor
   analyses.
CR Amburgey JW, 2012, ENVIRON BEHAV, V44, P235, DOI 10.1177/0013916511402064
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   [Anonymous], 2009, PRACT ASSESS RES EVA, DOI DOI 10.7275/DA8T-4G52
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], 2000, Mail and Internet Surveys: The Tailored Design Method
   [Anonymous], 1990, Uncertainty: A Guide to Dealing with Uncertainty in Quantitative Risk and Policy Analysis
   [Anonymous], 2002, HEURISTICS BIASES PS, DOI DOI 10.1017/CBO9780511808098.004
   [Anonymous], SYNTHESIS ASSESSMENT
   [Anonymous], 2008, Nature Clim Change, DOI DOI 10.1038/CLIMATE.2008.86
   Araújo MB, 2007, GLOBAL ECOL BIOGEOGR, V16, P743, DOI 10.1111/j.1466-8238.2007.00359.x
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Beier P, 2010, CONSERV BIOL, V24, P701, DOI 10.1111/j.1523-1739.2009.01422.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   BOSTROM A, 1994, RISK ANAL, V14, P959, DOI 10.1111/j.1539-6924.1994.tb00065.x
   Burgman M, 2004, THREATENED SPECIES LEGISLATION: IS IT JUST AN ACT?, P20
   Cole D.N., 2010, Beyond naturalness: Rethinking park and wilderness stewardship in an era of rapid change
   CORTINA JM, 1993, J APPL PSYCHOL, V78, P98, DOI 10.1037/0021-9010.78.1.98
   Dietz T, 2007, RURAL SOCIOL, V72, P185, DOI 10.1526/003601107781170026
   Ding D, 2011, NAT CLIM CHANGE, V1, P462, DOI 10.1038/NCLIMATE1295
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   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
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hagerman S, 2012, GLOBAL ENVIRON CHANG, V22, P724, DOI 10.1016/j.gloenvcha.2012.05.006
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P351, DOI 10.1016/j.gloenvcha.2009.11.002
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hannah L, 2002, GLOBAL ECOL BIOGEOGR, V11, P485, DOI 10.1046/j.1466-822X.2002.00306.x
   Hannah L, 2010, CONSERV BIOL, V24, P70, DOI 10.1111/j.1523-1739.2009.01405.x
   Hansen L, 2010, CONSERV BIOL, V24, P63, DOI 10.1111/j.1523-1739.2009.01404.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hobbs RJ, 2011, BIOSCIENCE, V61, P442, DOI 10.1525/bio.2011.61.6.6
   Hobbs RJ, 2010, FRONT ECOL ENVIRON, V8, P483, DOI 10.1890/090089
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   Kahan DM, 2011, J RISK RES, V14, P147, DOI 10.1080/13669877.2010.511246
   Kahan DM, 2009, NAT NANOTECHNOL, V4, P87, DOI [10.1038/nnano.2008.341, 10.1038/NNANO.2008.341]
   Kahneman D, 2013, THINKING FAST SLOW
   Krosby M, 2010, CONSERV BIOL, V24, P1686, DOI 10.1111/j.1523-1739.2010.01585.x
   Lawler JJ, 2009, ANN NY ACAD SCI, V1162, P79, DOI 10.1111/j.1749-6632.2009.04147.x
   Lazo JK, 2000, RISK ANAL, V20, P179, DOI 10.1111/0272-4332.202019
   Leiserowitz AA, 2005, RISK ANAL, V25, P1433, DOI 10.1111/j.1540-6261.2005.00690.x
   Lemieux CJ, 2011, CAN GEOGR-GEOGR CAN, V55, P301, DOI 10.1111/j.1541-0064.2010.00336.x
   Liu J, 2010, J ENVIRON MANAGE, V91, P2254, DOI 10.1016/j.jenvman.2010.06.007
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   Lyytimäki J, 2011, COAST MANAGE, V39, P598, DOI 10.1080/08920753.2011.600242
   Marris E, 2011, NATURE, V469, P150, DOI 10.1038/469150a
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Meine C, 2006, CONSERV BIOL, V20, P631, DOI 10.1111/j.1523-1739.2006.00449.x
   Morgan MG, 2001, CLIMATIC CHANGE, V49, P279, DOI 10.1023/A:1010651300697
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   PETERS RL, 1985, BIOSCIENCE, V35, P707, DOI 10.2307/1310052
   Peterson MN, 2008, CONSERV BIOL, V22, P912, DOI 10.1111/j.1523-1739.2008.00929.x
   Pidgeon N, 2011, NAT CLIM CHANGE, V1, P35, DOI [10.1038/NCLIMATE1080, 10.1038/nclimate1080]
   Poiani KA, 2011, BIODIVERS CONSERV, V20, P185, DOI 10.1007/s10531-010-9954-2
   Poortinga W, 2011, GLOBAL ENVIRON CHANG, V21, P1015, DOI 10.1016/j.gloenvcha.2011.03.001
   Quijas S, 2012, J APPL ECOL, V49, P929, DOI 10.1111/j.1365-2664.2012.02153.x
   Rudd MA, 2011, CONSERV BIOL, V25, P1165, DOI 10.1111/j.1523-1739.2011.01772.x
   Schlaepfer MA, 2011, CONSERV BIOL, V25, P428, DOI 10.1111/j.1523-1739.2010.01646.x
   Schliep R, 2008, GAIA, V17, P116, DOI 10.14512/gaia.17.S1.9
   Slimak MW, 2006, RISK ANAL, V26, P1689, DOI 10.1111/j.1539-6924.2006.00832.x
   Slovic P, 2004, RISK ANAL, V24, P311, DOI 10.1111/j.0272-4332.2004.00433.x
   Slovic P, 1999, RISK ANAL, V19, P689, DOI 10.1111/j.1539-6924.1999.tb00439.x
   Spence A, 2011, NAT CLIM CHANGE, V1, P46, DOI [10.1038/nclimate1059, 10.1038/NCLIMATE1059]
   Stromberg JC, 2009, RESTOR ECOL, V17, P177, DOI 10.1111/j.1526-100X.2008.00514.x
   Williams P, 2005, CONSERV BIOL, V19, P1063, DOI 10.1111/j.1523-1739.2005.00080.x
   Willis HH, 2007, RISK ANAL, V27, P1365, DOI 10.1111/j.1539-6924.2007.00958.x
NR 66
TC 20
Z9 21
U1 0
U2 61
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 NOV 15
PY 2013
VL 129
BP 555
EP 563
DI 10.1016/j.jenvman.2013.07.033
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 264TR
UT WOS:000327904400062
PM 24021997
DA 2025-01-10
ER

PT J
AU Dybala, KE
   Eadie, JM
   Gardali, T
   Seavy, NE
   Herzog, MP
AF Dybala, Kristen E.
   Eadie, John M.
   Gardali, Thomas
   Seavy, Nathaniel E.
   Herzog, Mark P.
TI Projecting demographic responses to climate change: adult and juvenile
   survival respond differently to direct and indirect effects of weather
   in a passerine population
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE California; climate change; direct and indirect effects; juvenile
   survival; mark-recapture; Palomarin; weather
ID POSTFLEDGING SURVIVAL; REPRODUCTIVE FAILURE; COASTAL CALIFORNIA; LARGE
   HERBIVORES; WINTER WEATHER; DYNAMICS; DENSITY; CONSEQUENCES;
   PRODUCTIVITY; TEMPERATURE
AB Few studies have quantitatively projected changes in demography in response to climate change, yet doing so can provide important insights into the processes that may lead to population declines and changes in species distributions. Using a long-term mark-recapture data set, we examined the influence of multiple direct and indirect effects of weather on adult and juvenile survival for a population of Song Sparrows (Melospiza melodia) in California. We found evidence for a positive, direct effect of winter temperature on adult survival, and a positive, indirect effect of prior rainy season precipitation on juvenile survival, which was consistent with an effect of precipitation on food availability during the breeding season. We used these relationships, and climate projections of significantly warmer and slightly drier winter weather by the year 2100, to project a significant increase in mean adult survival (12-17%) and a slight decrease in mean juvenile survival (4-6%) under the B1 and A2 climate change scenarios. Together with results from previous studies on seasonal fecundity and postfledging survival in this population, we integrated these results in a population model and projected increases in the population growth rate under both climate change scenarios. Our results underscore the importance of considering multiple, direct, and indirect effects of weather throughout the annual cycle, as well as differences in the responses of each life stage to climate change. Projecting demographic responses to climate change can identify not only how populations will be affected by climate change but also indicate the demographic process(es) and specific mechanisms that may be responsible. This information can, in turn, inform climate change adaptation plans, help prioritize future research, and identify where limited conservation resources will be most effectively and efficiently spent.
C1 [Dybala, Kristen E.; Eadie, John M.] Univ Calif Davis, Dept Wildlife Fish & Conservat Biol, Davis, CA 95616 USA.
   [Gardali, Thomas; Seavy, Nathaniel E.] PRBO Conservat Sci, Petaluma, CA 94954 USA.
   [Herzog, Mark P.] Univ Calif Davis, US Geol Survey, Davis Field Stn, Western Ecol Res Ctr, Davis, CA 95616 USA.
C3 University of California System; University of California Davis;
   University of California System; University of California Davis; United
   States Department of the Interior; United States Geological Survey
RP Dybala, KE (corresponding author), Univ Calif Davis, Dept Wildlife Fish & Conservat Biol, 1 Shields Ave, Davis, CA 95616 USA.
EM kedybala@ucdavis.edu
RI Eadie, John/E-4820-2011; Dybala, Kristen/P-4629-2015
OI Eadie, John/0000-0001-9573-2703; Dybala, Kristen/0000-0002-2787-4600
FU Point Reyes National Seashore; PRBO; PRBO Board of Directors; late
   Dorothy Hunt; Chevron Corporation; Bernard Osher Foundation; Gordon and
   Betty Moore Foundation; National Park Service Inventory and Monitoring
   Program; Karen A. & Kevin W. Kennedy Foundation; Kimball Foundation;
   DMARLOU Foundation; National Science Foundation [DBI-0533918]; UC Davis
   Graduate Group in Ecology; ARCS Foundation scholarship via Lisa Ludwig
   Foundation; ARCS Foundation scholarship via Eileen Foundation; National
   Park Service's G. M. Wright Climate Change Fellowship; American
   Ornithologists' Union; Dennis G. Raveling Endowment; Selma Herr Fund for
   Ornithological Research; American Museum of Natural History's F. M.
   Chapman Memorial Fund; Western Bird Banding Association
FX This manuscript benefited from comments by M. Holyoak, J. Ackerman, and
   anonymous reviewers. We are grateful to L. R. Mewaldt, C. J. Ralph, D.
   DeSante, and G. R. Geupel for establishing and maintaining long-term
   monitoring at the Palomarin Field Station, and to the staff and interns
   for their contributions to data collection and methodologies. The
   continued operation of the field station has been made possible by the
   support of the Point Reyes National Seashore, the members of PRBO, the
   PRBO Board of Directors, the late Dorothy Hunt, the Chevron Corporation,
   the Bernard Osher Foundation, the Gordon and Betty Moore Foundation, the
   National Park Service Inventory and Monitoring Program, the Karen A. &
   Kevin W. Kennedy Foundation, the Kimball Foundation, the DMARLOU
   Foundation, a grant from the National Science Foundation (DBI-0533918),
   and anonymous donors. K. E. Dybala was supported by the UC Davis
   Graduate Group in Ecology, ARCS Foundation scholarships via the Eileen
   and Lisa Ludwig Foundation, the National Park Service's G. M. Wright
   Climate Change Fellowship, the American Ornithologists' Union, the
   Dennis G. Raveling Endowment, the Selma Herr Fund for Ornithological
   Research, an Ernest E. Hill Fellowship, the American Museum of Natural
   History's F. M. Chapman Memorial Fund, and the Western Bird Banding
   Association. The use of trade, product, or firm names in this
   publication is for descriptive purposes only and does not imply
   endorsement by the US Government. This is PRBO contribution number 1931.
CR Ådahl E, 2006, GLOBAL CHANGE BIOL, V12, P1627, DOI 10.1111/j.1365-2486.2006.01196.x
   Adams AAY, 2006, ECOLOGY, V87, P178, DOI 10.1890/04-1922
   Altwegg R, 2005, OIKOS, V110, P55, DOI 10.1111/j.0030-1299.2005.13723.x
   Altwegg R, 2009, FUNCT ECOL, V23, P1014, DOI 10.1111/j.1365-2435.2009.01563.x
   [Anonymous], TIME SCALES BIOL RES
   [Anonymous], 1954, The distribution and abundance of animals, DOI DOI 10.1111/BRV
   [Anonymous], 2007, A report of working group I of the Intergovernmental Panel on Climate Change. Summary for policy makers and technical summary
   [Anonymous], 2012, R: A Language and Environment for Statistical Computing
   [Anonymous], 2002, The Birds of North America Online Ed. by
   [Anonymous], 2013, RMARK R INTERFACE AN
   [Anonymous], SAN FRANCISCO ESTUAR
   Bale JS, 2002, GLOBAL CHANGE BIOL, V8, P1, DOI 10.1046/j.1365-2486.2002.00451.x
   Barbraud C, 2011, J ANIM ECOL, V80, P89, DOI 10.1111/j.1365-2656.2010.01752.x
   Bolger DT, 2005, OECOLOGIA, V142, P398, DOI 10.1007/s00442-004-1734-9
   Burkett VR, 2005, ECOL COMPLEX, V2, P357, DOI 10.1016/j.ecocom.2005.04.010
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Chase MK, 2005, AUK, V122, P571, DOI 10.1642/0004-8038(2005)122[0571:EOWAPD]2.0.CO;2
   Choquet R, 2009, ECOGRAPHY, V32, P1071, DOI 10.1111/j.1600-0587.2009.05968.x
   Coulson T, 2001, SCIENCE, V292, P1528, DOI 10.1126/science.292.5521.1528
   DESANTE DF, 1987, CONDOR, V89, P636, DOI 10.2307/1368653
   Donovan TM, 2001, ECOL APPL, V11, P871
   Dybala KE, 2013, ECOLOGY, V94, P1584, DOI 10.1890/12-1443.1
   Forcada J, 2008, GLOBAL CHANGE BIOL, V14, P2473, DOI 10.1111/j.1365-2486.2008.01678.x
   Gaillard JM, 2003, ECOLOGY, V84, P3294, DOI 10.1890/02-0409
   Gaillard JM, 1998, TRENDS ECOL EVOL, V13, P58, DOI 10.1016/S0169-5347(97)01237-8
   Gardali T, 2003, AUK, V120, P1188, DOI 10.1642/0004-8038(2003)120[1188:JAASOS]2.0.CO;2
   GEUPEL GR, 1990, CONDOR, V92, P67, DOI 10.2307/1368384
   Grosbois V, 2008, BIOL REV, V83, P357, DOI 10.1111/j.1469-185X.2008.00047.x
   Hunter CM, 2010, ECOLOGY, V91, P2883, DOI 10.1890/09-1641.1
   Jennings S, 2009, CONDOR, V111, P488, DOI 10.1525/cond.2009.080107
   Jenouvrier S, 2009, P NATL ACAD SCI USA, V106, P1844, DOI 10.1073/pnas.0806638106
   Johnson MD, 1996, CONDOR, V98, P133, DOI 10.2307/1369516
   Jonzén N, 2010, J ANIM ECOL, V79, P109, DOI 10.1111/j.1365-2656.2009.01601.x
   Kreyling J, 2010, ECOLOGY, V91, P1939, DOI 10.1890/09-1160.1
   Lack D., 1954, P343
   LEBRETON JD, 1992, ECOL MONOGR, V62, P67, DOI 10.2307/2937171
   MARCHETTI K, 1989, BIOL REV, V64, P51, DOI 10.1111/j.1469-185X.1989.tb00638.x
   McCarty JP, 2001, CONSERV BIOL, V15, P320, DOI 10.1046/j.1523-1739.2001.015002320.x
   McKechnie AE, 2010, BIOL LETTERS, V6, P253, DOI 10.1098/rsbl.2009.0702
   McLaughlin BC, 2012, GLOBAL CHANGE BIOL, V18, P2301, DOI 10.1111/j.1365-2486.2011.02630.x
   Nevoux M, 2010, ECOLOGY, V91, P2416, DOI 10.1890/09-0143.1
   Newton I., 1998, POPULATION LIMITATIO
   Nur Nadav, 2004, Studies in Avian Biology, P63
   Oro D, 2010, ECOLOGY, V91, P1205, DOI 10.1890/09-0939.1
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   Peery MZ, 2012, GLOBAL CHANGE BIOL, V18, P865, DOI 10.1111/j.1365-2486.2011.02564.x
   Portier C, 1998, J ZOOL, V245, P271, DOI 10.1111/j.1469-7998.1998.tb00101.x
   Reed TE, 2011, CONSERV BIOL, V25, P56, DOI 10.1111/j.1523-1739.2010.01552.x
   Robinson RA, 2007, IBIS, V149, P357, DOI 10.1111/j.1474-919X.2006.00648.x
   Rogers LA, 2011, P NATL ACAD SCI USA, V108, P1961, DOI 10.1073/pnas.1010314108
   Saether BE, 1997, TRENDS ECOL EVOL, V12, P143, DOI 10.1016/S0169-5347(96)10068-9
   Schmidt KA, 2008, J ANIM ECOL, V77, P830, DOI 10.1111/j.1365-2656.2008.01378.x
   Seavy NE, 2008, AUK, V125, P1, DOI 10.1525/auk.2008.125.1.1
   Sillett TS, 2000, SCIENCE, V288, P2040, DOI 10.1126/science.288.5473.2040
   Skalski JR, 1996, CAN J FISH AQUAT SCI, V53, P196, DOI 10.1139/cjfas-53-1-196
   Stenseth NC, 2002, SCIENCE, V297, P1292, DOI 10.1126/science.1071281
   Sæther BE, 2000, ECOLOGY, V81, P642, DOI 10.2307/177366
   Stralberg D, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006825
   Tews Joerg, 2004, BMC Ecology, V4, P17, DOI 10.1186/1472-6785-4-17
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   van de Pol M, 2010, ECOLOGY, V91, P1192, DOI 10.1890/09-0410.1
   WEATHERS WW, 1989, ECOL MONOGR, V59, P223, DOI 10.2307/1942600
   Welbergen JA, 2008, P ROY SOC B-BIOL SCI, V275, P419, DOI 10.1098/rspb.2007.1385
   White GC, 1999, BIRD STUDY, V46, P120, DOI 10.1080/00063659909477239
   Wolf SG, 2010, GLOBAL CHANGE BIOL, V16, P1923, DOI 10.1111/j.1365-2486.2010.02194.x
NR 65
TC 44
Z9 52
U1 0
U2 153
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 SEP
PY 2013
VL 19
IS 9
BP 2688
EP 2697
DI 10.1111/gcb.12228
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 196FD
UT WOS:000322758000008
PM 23606580
DA 2025-01-10
ER

PT J
AU Ziervogel, G
   van Garderen, EA
   Price, P
AF Ziervogel, Gina
   van Garderen, Emma Archer
   Price, Penny
TI Strengthening the knowledge-policy interface through co-production of a
   climate adaptation plan: leveraging opportunities in Bergrivier
   Municipality, South Africa
SO ENVIRONMENT AND URBANIZATION
LA English
DT Article
DE adaptation opportunities; climate adaptation planning; co-production;
   local government; multi-level governance; science-policy interface;
   South Africa
ID BARRIERS; CITIES; CITY; VULNERABILITY; RESILIENCE; FRAMEWORK; SCIENCE;
   ROLES
AB Despite the growth of adaptation plans and action by municipalities, there are limited examples of opportunities for effectively mainstreaming climate adaptation into policy and practice in local government. This paper uses the experiment of co-producing an adaptation plan for a small municipality in the Western Cape Province, South Africa, to illustrate how opportunities were leveraged. The findings suggest that a shift from strengthening the science-policy interface to the knowledge-policy interface might be more appropriate in the context of adaptation planning that requires an understanding of the local context as well as of global science. In order to align adaptation plans with developmental priorities and to secure support from actors at multiple levels, the integration of multiple knowledge forms, including climate science, should be prioritized. Such a task could be strengthened if co-production is prioritized. Building on these opportunities is critical to scaling up adaptation in local government and building on its transformative potential.
C1 [Ziervogel, Gina] Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Rondebosch, South Africa.
   [van Garderen, Emma Archer] CSIR, Nat Resources & Environm Unit, Pretoria, South Africa.
C3 University of Cape Town; Council for Scientific & Industrial Research
   (CSIR) - South Africa
RP Ziervogel, G (corresponding author), Univ Cape Town, Dept Environm & Geog Sci, ZA-7700 Rondebosch, South Africa.
EM gina@csag.uct.ac.za; earcher@csir.co.za; Penylopeprice@gmail.com
RI Ziervogel, Gina/AAG-2945-2019; Archer, Emma/V-5736-2019
OI Archer, Emma/0000-0002-5374-3866; Ziervogel, Gina/0000-0003-4219-6809
FU National Research Foundation (NRF) of South Africa; CSIR; CSIR-UCT
   collaboration
FX The authors would like to thank the reviewers and Dianne Scott for their
   inputs and suggestions. The National Research Foundation (NRF) of South
   Africa is thanked for its research support. In addition, the authors
   would like to thank the CSIR for a universities co-operation grant,
   which supported a portion of the CSIR-UCT collaboration. The authors
   would also like to acknowledge the willingness of both the Western Cape
   Government and the Bergrivier Municipality to support and engage in the
   "business unusual" approach required to co-produce across the
   knowledge-policy interface.
CR Adger WN, 2003, ECON GEOGR, V79, P387
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   [Anonymous], GRF DAVOS PLANET RIS
   Ansell C.K., 2003, Social movements and networks relational approaches to collective action, P123, DOI DOI 10.1093/0199251789.003.0006
   Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Archer E, 2009, J INTEGR ENVIRON SCI, V6, P139, DOI 10.1080/19438150902916589
   Archer van Garderen E, 2015, POLITICAL ECOLOGIES
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Bergrivier Municipality, 2015, BERGR MUN INT DEV PL
   Bergrivier Municipality, 2012, INT DEV PLAN 2012 13
   Bergrivier Municipality, 2014, BERGR MUN CLIM AD PA
   Biesbroek GR, 2013, REG ENVIRON CHANGE, V13, P1119, DOI 10.1007/s10113-013-0421-y
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Brouwer S, 2013, ENVIRON PLANN C, V31, P134, DOI 10.1068/c11134
   Bruckmeier K, 2008, SOCIOL RURALIS, V48, P313, DOI 10.1111/j.1467-9523.2008.00466.x
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Burch S, 2010, J FLOOD RISK MANAG, V3, P126, DOI 10.1111/j.1753-318X.2010.01062.x
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carmin JoAnn., 2012, Progress and Challenges in Urban Climate Adaptation Planning: Results of a Global Survey
   Castan Broto V, 2014, LOCAL VISION CLIMATE
   Corburn J, 2009, URBAN STUD, V46, P413, DOI 10.1177/0042098008099361
   Crona BI, 2006, ECOL SOC, V11
   Dowd AM, 2014, NAT CLIM CHANGE, V4, P558, DOI [10.1038/NCLIMATE2275, 10.1038/nclimate2275]
   Enengel B, 2012, LANDSCAPE URBAN PLAN, V105, P106, DOI 10.1016/j.landurbplan.2011.12.004
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Hardoy J, 2013, ENVIRON URBAN, V25, P339, DOI 10.1177/0956247813493232
   Heron J., 1997, QUAL INQ, V3, P274, DOI [10.1177/107780049700300302, DOI 10.1177/107780049700300302]
   Hessels LK, 2008, RES POLICY, V37, P740, DOI 10.1016/j.respol.2008.01.008
   Hetz K, 2014, WATER INT, V39, P884, DOI 10.1080/02508060.2014.962679
   Homsy GC, 2013, SOCIOL RURALIS, V53, P291, DOI 10.1111/soru.12013
   Juhola S, 2011, ENVIRON SCI POLICY, V14, P239, DOI 10.1016/j.envsci.2010.12.006
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Kolikow S., 2012, 1202 U W AUSTR SCH A
   Kristjanson P, 2014, NAT CLIM CHANGE, V4, P5, DOI 10.1038/nclimate2080
   Kumar P, 2015, LAND USE POLICY, V42, P210, DOI 10.1016/j.landusepol.2014.07.016
   Lebel L, 2006, ECOL SOC, V11
   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]
   Lincoln Y. S., 2011, SAGE HDB QUALITATIVE, P97
   Lötter D, 2014, ECOL EVOL, V4, P1209, DOI 10.1002/ece3.985
   Maiello A, 2013, ENVIRON SCI POLICY, V27, P141, DOI 10.1016/j.envsci.2012.12.007
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Mukheibir P, 2007, ENVIRON URBAN, V19, P143, DOI 10.1177/0956247807076912
   Oberlack C, 2014, GLOBAL ENVIRON CHANG, V24, P349, DOI 10.1016/j.gloenvcha.2013.08.016
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   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
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Polsky C, 2005, BOOK SOIL P, V86, P215
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Roberts D, 2010, ENVIRON URBAN, V22, P397, DOI 10.1177/0956247810379948
   Robinson P., 2005, Canadian Journal of Urban Research, V14, P102
   Rydin Y, 2006, ENVIRON PLANN A, V38, P1005, DOI 10.1068/a38442
   Satterthwaite D, 2011, WIRES CLIM CHANGE, V2, P767, DOI 10.1002/wcc.136
   Shackleton S, 2015, WIRES CLIM CHANGE, V6, P321, DOI 10.1002/wcc.335
   Simon D, 2015, CURR OPIN ENV SUST, V13, P109, DOI 10.1016/j.cosust.2015.03.003
   South African National Department of Environmental Affairs, 2011, S AFR NAT CLIM CHANG
   Swilling Mark, 2014, S. Afr. j. sci., V110, P01
   Termeer C, 2012, EUR POLIT SCI, V11, P41, DOI 10.1057/eps.2011.7
   Termeer CJAM, 2009, PUBLIC MANAG REV, V11, P299, DOI 10.1080/14719030902798180
   Tompkins EL, 2010, GLOBAL ENVIRON CHANG, V20, P627, DOI 10.1016/j.gloenvcha.2010.05.001
   Tschakert P, 2013, CLIM DEV, V5, P340, DOI 10.1080/17565529.2013.828583
   Tschakert P, 2010, ECOL SOC, V15
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   Van de Ven AH, 2006, ACAD MANAGE REV, V31, P802, DOI [10.2307/20159252, 10.5465/AMR.2006.22527385]
   van den Hove S, 2007, FUTURES, V39, P807, DOI 10.1016/j.futures.2006.12.004
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Wamsler C, 2014, GLOBAL ENVIRON CHANG, V29, P189, DOI 10.1016/j.gloenvcha.2014.09.008
   Webler T, 2014, LOCAL ENVIRON, P1
   Western Cape Government, 2014, W CAP CLIM CHANG RES
   Ziervogel G, 2014, ADAPTING CLIMATE CHA, P57, DOI DOI 10.1007/978-94-017-8631-7_3
   Ziervogel G, 2016, S AFR GEOGR J, V98, P1, DOI 10.1080/03736245.2014.924867
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
   Ziervogel G, 2010, CLIM DEV, V2, P94, DOI 10.3763/cdev.2010.0036
   Ziervogel G, 2009, CLIM RES, V40, P133, DOI 10.3354/cr00804
NR 78
TC 24
Z9 30
U1 1
U2 33
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0956-2478
EI 1746-0301
J9 ENVIRON URBAN
JI Environ. Urban.
PD OCT
PY 2016
VL 28
IS 2
BP 455
EP 474
DI 10.1177/0956247816647340
PG 20
WC Environmental Studies; Urban Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Urban Studies
GA DX8UA
UT WOS:000384663900009
OA Bronze
DA 2025-01-10
ER

PT J
AU Tarpani, E
   Bitossi, L
   Cureau, R
   Pigliautile, I
   Biscarini, C
   Pisello, AL
AF Tarpani, Elena
   Bitossi, Lisa
   Cureau, Roberta
   Pigliautile, Ilaria
   Biscarini, Chiara
   Pisello, Anna Laura
TI Revitalizing tactical urban parks (TUPs) through environmental
   monitoring and participatory approaches for urban overheating mitigation
SO CITY AND ENVIRONMENT INTERACTIONS
LA English
DT Article
DE Urban heat island; Microclimate assessment; Air quality; Outdoor
   comfort; Tactical urban park; Wearable sensing
ID CITIES
AB The 6 th assessment report by IPCC underscores the necessity to switch from immediate to timely actions to foster (urban) climate change adaptation and mitigation. Green areas such as tactical urban parks could represent a strategic asset towards healthier and more sustainable cities and societies. Specifically studied greenery may indeed improve local microclimate and air quality conditions, supporting the socio-ecological resilience of cities while enhancing social interactions. Using a multidisciplinary approach, this study aims to evaluate the environmental quality and local community needs of a neighbourhood located near the historic centre of Perugia (Italy) to provide guidelines for its requalification, especially for outdoor spaces. To achieve this goal, the study conducted dedicated environmental monitoring, demonstrating the massive thermal behavior differences (by about 5K in summer) within the same urban area all over the year, and carried out surveys campaigns focusing on outdoor perceptions and needs reported by the local community. The results confirm that local residents mainly use the area as a thoroughfare to access established activities by car (63% of respondants), leading to high vehicular traffic and pollutants emissions during peak hours, with PM10 concentration peaks reaching 55 mu g/m3 3 and 180 mu g/m3 3 close to the parking lot in winter and spring, respectively. An effective intervention was recognized in the introduction of furniture in the area, creating attractive places to spend the lunch break, enabling people to enjoy the outdoors and maximize thermal comfort benefits. Moreover, reducing vehicular traffic and fostering slow mobility also demonstrated to be attractive measures to improve comfort, health and well-being and reduce negative consequences on air quality.
C1 [Tarpani, Elena; Cureau, Roberta; Pigliautile, Ilaria; Pisello, Anna Laura] Univ Perugia, CIRIAF Interuniv Res Ctr Pollut & Environm Mauro F, EAPLAB, Perugia, Italy.
   [Bitossi, Lisa; Biscarini, Chiara] Univ Foreigners Perugia, Piazza Braccio Fortebraccio 4, Perugia, Italy.
   [Pigliautile, Ilaria; Pisello, Anna Laura] Univ Perugia, Dept Engn, Via G Duranti 93, Perugia, Italy.
C3 University of Perugia; University Foreigners Perugia; University of
   Perugia
RP Pisello, AL (corresponding author), Univ Perugia, CIRIAF Interuniv Res Ctr Pollut & Environm Mauro F, EAPLAB Environm Appl Phys Lab, Perugia, Italy.
EM anna.pisello@unipg.it
RI Pigliautile, Ilaria/JBS-0015-2023
FU EDUCER "Verso la transizione verde circolare per combattere l'emergenza
   climatica attraverso Comunitadi Energia Rinnovabile locali e
   partecipate" [21082-2022.0406]; Italian funding programme Fondo Sociale
   Europeo REACT EU - Programma Operativo Nazionale Ricerca e Innovazione
   [1062 del 10 agosto 2021]; European Union [101073357]; Italian Ministry
   of University and Research for supporting their research through the
   "National Research Program (PNR); Marie Curie Actions (MSCA) [101073357]
   Funding Source: Marie Curie Actions (MSCA)
FX The authors would like to thank Fondazione Perugia for their financial
   support through the project EDUCER "Verso la transizione verde circolare
   per combattere l'emergenza climatica attraverso Comunitadi Energia
   Rinnovabile locali e partecipate" (21082-2022.0406) and the Italian
   funding programme Fondo Sociale Europeo REACT EU - Programma Operativo
   Nazionale Ricerca e Innovazione 2014-2020 (D.M. n.1062 del 10 agosto
   2021) for supporting their research though projects "Comunita
   energetiche resilienti per la valorizzazione del benessere ambientale,
   del risparmio energetico e della valorizzazione del patrimonio mediante
   gestione multidominio di dati human centric", and "Red-To-Green".
   Authors' acknowledgments are also due to the European Union's Horizon
   Europe program under grant agreement No. 101073357 (MuSIC) and the
   Italian Ministry of University and Research for supporting their
   research through the "National Research Program (PNR) ."
CR [Anonymous], 2018, Department of Economic and Social Affairs World Urbanization Prospects The 2018 Revision, V12
   Arriagada R, 2018, ELEMENTA-SCI ANTHROP, V6, DOI 10.1525/elementa.329
   Berkes F., 2003, Biological Conservation, V119, P581, DOI DOI 10.1016/J.BIOCON.2004.01.010
   Chang PY, 2022, ENVIRON RES, V215, DOI 10.1016/j.envres.2022.114289
   Chiles J.P., 2012, Modeling Spatial Uncertainty, Vsecond
   Coccolo S, 2016, URBAN CLIM, V18, P33, DOI 10.1016/j.uclim.2016.08.004
   Croce S, 2021, SUSTAIN CITIES SOC, V75, DOI 10.1016/j.scs.2021.103313
   Cureau RJ, 2022, SENSORS-BASEL, V22, DOI 10.3390/s22020502
   European Commission, Denmark's Recovery and Resilience Plan
   Fang XN, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104843
   Gräler B, 2016, R J, V8, P204
   Gupta J, 2016, MITIG ADAPT STRAT GL, V21, P883, DOI 10.1007/s11027-014-9630-z
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Haase D, 2017, HABITAT INT, V64, P41, DOI 10.1016/j.habitatint.2017.04.005
   Hugel S, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.645
   IPCC, AR6 Synthesis Report
   Jaszczak A, 2019, IOP CONF SER-MAT SCI, V603, DOI 10.1088/1757-899X/603/3/032028
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Kousis I, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88344-y
   Lin JH, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082772
   Liu HM, 2022, SUSTAIN CITIES SOC, V80, DOI 10.1016/j.scs.2022.103783
   Manneh A, 2017, WORLD C CIV STRUCT E, P1, DOI [10.11159/icesdp17.180, DOI 10.11159/ICESDP17.180]
   Marando F, 2022, SUSTAIN CITIES SOC, V77, DOI 10.1016/j.scs.2021.103564
   Nasrollahi N, 2021, SUSTAIN CITIES SOC, V65, DOI 10.1016/j.scs.2020.102638
   Organizacion Mundial de la Salud (OMS), 2021, Coast. Estuar. Process., P1
   Paolini R, 2017, ENERG BUILDINGS, V152, P792, DOI 10.1016/j.enbuild.2016.11.018
   Pigliautile I, 2018, SCI TOTAL ENVIRON, V630, P690, DOI 10.1016/j.scitotenv.2018.02.208
   Pisello AL, 2013, ENERGIES, V6, P3637, DOI 10.3390/en6083637
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Rosso F, 2024, J ENVIRON MANAGE, V349, DOI 10.1016/j.jenvman.2023.119447
   RUS, 2021, Rete delle Universita per lo Sviluppo Sostenibile White Paper 2021 - Le Attivita Del Gruppo Di Lavoro Mobilita Della Rete Delle Universita Italiane per Lo Sviluppo Sostenibile
   Sofia D, 2020, ENVIRON SCI POLLUT R, V27, P19226, DOI 10.1007/s11356-020-08647-x
   Tarpani E, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101447
   Xu FS, 2023, SUSTAIN CITIES SOC, V98, DOI 10.1016/j.scs.2023.104838
   Yadav N, 2018, SUSTAIN CITIES SOC, V37, P298, DOI 10.1016/j.scs.2017.11.026
   Yamamoto JK, 2007, COMPUTAT GEOSCI, V11, P219, DOI 10.1007/s10596-007-9046-x
   Yang YJ, 2019, SUSTAIN CITIES SOC, V51, DOI 10.1016/j.scs.2019.101730
   Zare S, 2018, WEATHER CLIM EXTREME, V19, P49, DOI 10.1016/j.wace.2018.01.004
NR 38
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2590-2520
J9 CITY ENVIRON INTERAC
JI City Environ. Interact.
PD DEC
PY 2024
VL 24
AR 100164
DI 10.1016/j.cacint.2024.100164
EA AUG 2024
PG 12
WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric
   Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA E0A3S
UT WOS:001299713700001
OA gold
DA 2025-01-10
ER

PT J
AU Makriyannis, C
   Johnston, RJ
   Zawojska, E
AF Makriyannis, Christos
   Johnston, Robert J.
   Zawojska, Ewa
TI Do numerical probabilities promote informed stated preference responses
   under inherent outcome uncertainty? Insight from a coastal adaptation
   choice experiment
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Flood adaptation; Inherent outcome uncertainty; Discrete choice
   experiment; Stated preference; Risk communication
ID WILLINGNESS-TO-PAY; RISK COMMUNICATION; CLIMATE-CHANGE; NONMARKET
   VALUATION; INFORMATION; PERCEPTION; VALIDITY; UTILITY; SCALE; MANAGEMENT
AB Stated preference (SP) valuation provides insight into individuals ' preferences for environmental goods and assigns a monetary value to these preferences. It employs survey questions that elicit information on choices or behaviors in response to hypothetical future scenarios involving changes to these goods. Outcome uncertainty (OU) within SP studies refers to uncertainty concerning whether the effects communicated in these hypothetical scenarios would actually occur, were the scenario to be implemented as indicated in the questionnaire. Inherent OU may be further defined as OU that is invariant across scenarios. For example, the effect of installing coastal flood defenses may depend on a probability of severe storms that is fixed in the study area over the relevant time horizon. Inherent OU has received little attention in the environmental SP literature. For example, it is unknown whether numerical, percentage probabilities -a ubiquitous means of communicating uncertainty in SP questionnaires -are an effective risk communication tool for inherent OU in environmental valuation scenarios. This article evaluates two treatments in a discrete choice experiment survey related to coastal climate change adaptation in Connecticut, USA: one provides only raw frequencies as a risk communication tool, while the other provides implied percentage probabilities in addition to the same raw frequencies. Results show that the use of percentage probabilities to communicate inherent OU has no additional effect on average welfare estimates or the choice behavior of respondents. These findings suggest that percentage probabilities may not provide useful information to SP respondents, beyond that conveyed by past event frequencies.
C1 [Makriyannis, Christos] Suffolk Univ, Dept Econ, 73 Tremont St, Boston, MA 02108 USA.
   [Johnston, Robert J.] Clark Univ, George Perkins Marsh Inst, 950 Main St, Worcester, MA 01610 USA.
   [Johnston, Robert J.] Clark Univ, Dept Econ, 950 Main St, Worcester, MA 01610 USA.
   [Zawojska, Ewa] Univ Warsaw, Fac Econ Sci, Dluga 44-50, Warsaw, Poland.
C3 Suffolk University; Clark University; Clark University; University of
   Warsaw
RP Makriyannis, C (corresponding author), Suffolk Univ, Dept Econ, 73 Tremont St, Boston, MA 02108 USA.
EM cmakriyannis@suffolk.edu; rjohnston@clarku.edu; ewa.zawojska@uw.edu.pl
RI Zawojska, Ewa/AAN-1584-2020
OI Johnston, Robert/0000-0001-7523-2701
FU Northeast Sea Grant Consortium [NA10AOR4170086, 5710003190]; National
   Science Centre in Poland [2017/25/B/HS4/01076]; Polish National Agency
   for Academic Exchange within the Bekker programme
FX This research is supported by the Northeast Sea Grant Consortium, via
   prime award NA10AOR4170086 to MIT Sea Grant (Sub-award 5710003190) .
   Opinions do not imply endorsement of the funding agency. Ewa Zawojska
   gratefully acknowledges the support of the National Science Centre in
   Poland (Opus 13, grant no. 2017/25/B/HS4/01076) and the support of the
   Polish National Agency for Academic Exchange within the Bekker
   programme.
CR Aanesen M., 2023, Land Econ, DOI [10.3368/le.99.3.021122-0011R,021122-0011R, DOI 10.3368/LE.99.3.021122-0011R,021122-0011R]
   Akter S, 2012, VALUING CLIMATE CHANGE MITIGATION: APPLYING STATED PREFERENCES IN THE PRESENCE OF UNCERTAINTY, P1
   [Anonymous], 2008, Thiene, and Train
   [Anonymous], 2022, Communicating risks and benefits: an evidence-based user's guide
   Ascough JC, 2008, ECOL MODEL, V219, P383, DOI 10.1016/j.ecolmodel.2008.07.015
   Aven T, 2010, RELIAB ENG SYST SAFE, V95, P623, DOI 10.1016/j.ress.2010.01.011
   Baker J, 2009, NAT HAZARDS REV, V10, P102, DOI 10.1061/(ASCE)1527-6988(2009)10:3(102)
   BLACK WC, 1995, J NATL CANCER I, V87, P720, DOI 10.1093/jnci/87.10.720
   CAMERON TA, 1987, J MARKETING RES, V24, P389, DOI 10.2307/3151386
   Cameron TA, 2011, J CHOICE MODEL, V4, P9, DOI 10.1016/S1755-5345(13)70017-4
   Cameron TA, 2013, J ENVIRON ECON MANAG, V65, P87, DOI 10.1016/j.jeem.2012.05.008
   Carson R.T., 2014, Handbook of choice modelling, P202
   Carson RT, 2007, ENVIRON RESOUR ECON, V37, P181, DOI 10.1007/s10640-007-9124-5
   Corso PS, 2001, J RISK UNCERTAINTY, V23, P165, DOI 10.1023/A:1011184119153
   Daly A, 2012, TRANSPORTATION, V39, P19, DOI 10.1007/s11116-011-9331-3
   Davies HJ, 2023, RESOUR ENERGY ECON, V71, DOI 10.1016/j.reseneeco.2022.101344
   Dekker T, 2016, RESOUR ENERGY ECON, V43, P57, DOI 10.1016/j.reseneeco.2015.11.002
   Dillman DA, 2009, SOC SCI RES, V38, P3, DOI 10.1016/j.ssresearch.2008.03.007
   Edwards A, 2002, BMJ-BRIT MED J, V324, P827, DOI 10.1136/bmj.324.7341.827
   Faccioli M, 2019, ENVIRON RESOUR ECON, V73, P627, DOI 10.1007/s10640-018-0276-2
   Ferrini S, 2007, J ENVIRON ECON MANAG, V53, P342, DOI 10.1016/j.jeem.2006.10.007
   Fifer S, 2011, J CHOICE MODEL, V4, P44, DOI 10.1016/S1755-5345(13)70018-6
   Gerking S, 2017, J RISK UNCERTAINTY, V55, P177, DOI 10.1007/s11166-017-9267-x
   Gilboa G, 2002, IEEE T IMAGE PROCESS, V11, P689, DOI 10.1109/TIP.2002.800883
   Gilboa I, 2008, J ECON PERSPECT, V22, P173, DOI 10.1257/jep.22.3.173
   Glatt M, 2019, ENVIRON RESOUR ECON, V74, P1533, DOI 10.1007/s10640-019-00379-y
   Glenk K, 2013, AUST J AGR RESOUR EC, V57, P559, DOI 10.1111/1467-8489.12012
   Glenk K, 2011, J AGR ECON, V62, P25, DOI 10.1111/j.1477-9552.2010.00278.x
   Greene WH, 2003, TRANSPORT RES B-METH, V37, P681, DOI 10.1016/S0191-2615(02)00046-2
   HANEMANN WM, 1984, ECONOMETRICA, V52, P541, DOI 10.2307/1913464
   Hanley N, 2009, LAND ECON, V85, P41, DOI 10.3368/le.85.1.41
   Harris AJL, 2011, J EXP PSYCHOL LEARN, V37, P1571, DOI 10.1037/a0024195
   Harrison M, 2014, PATIENT, V7, P151, DOI 10.1007/s40271-014-0048-1
   Hensher DA, 2003, TRANSPORTATION, V30, P133, DOI 10.1023/A:1022558715350
   Hensher DA, 2011, J TRANSP ECON POLICY, V45, P505
   Herriges J, 2010, J ENVIRON ECON MANAG, V59, P67, DOI 10.1016/j.jeem.2009.03.004
   Hidrue MK, 2011, RESOUR ENERGY ECON, V33, P686, DOI 10.1016/j.reseneeco.2011.02.002
   Holmes T., 2017, A Primer on Nonmarket Valuation, pch5
   Ivanova G., 2010, 54 ANN AUSTR AGR RES
   Johnston R. J., 1995, Agricultural and Resource Economics Review, V24, P56
   Johnston RJ, 2020, AM J AGR ECON, V102, P1245, DOI 10.1002/ajae.12076
   Johnston RJ, 2017, J ASSOC ENVIRON RESO, V4, P319, DOI 10.1086/691697
   Johnston RJ, 2012, LAND ECON, V88, P102, DOI 10.3368/le.88.1.102
   Kaplowitz M.D., 2004, Methods for Testing and Evaluating Survey Questionnaires, V503
   Klotzbach P.J., 2013, Extended Range Forecast of Atlantic Seasonal Hurricane Activity and Landfall Strike Probability for 2013
   Langsdale S, 2008, J CONTEMP WAT RES ED, V140, P24, DOI 10.1111/j.1936-704X.2008.00025.x
   Lipkus IM, 2001, MED DECIS MAKING, V21, P37, DOI 10.1177/0272989X0102100105
   LOOMIS JB, 1993, LAND ECON, V69, P287, DOI 10.2307/3146594
   Lundhede T, 2015, LAND ECON, V91, P296, DOI 10.3368/le.91.2.296
   Makriyannis C, 2018, AGRIC RESOUR ECON RE, V47, P419, DOI 10.1017/age.2017.27
   Mariel P., 2021, Implementation and Data Analysis
   McFadden D, 2000, J APPL ECONOMET, V15, P447, DOI 10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1
   McFadden D., 1974, Journal of Public Economics, V3, P303, DOI [10.1016/0047-2727(74)90003-6, DOI 10.1016/0047-2727(74)90003-6]
   Meldrum JR, 2020, J FOREST ECON, V35, P75, DOI 10.1561/112.00000510
   Meles TH, 2023, ENVIRON RESOUR ECON, V86, P717, DOI 10.1007/s10640-023-00810-5
   Meyerhoff J, 2009, LAND ECON, V85, P515
   Morey E, 2006, ENVIRON RESOUR ECON, V34, P91, DOI 10.1007/s10640-005-3794-7
   Orme B., 2010, Sawtooth Software Technical Paper
   Patt AG, 2003, CLIMATIC CHANGE, V61, P17, DOI 10.1023/A:1026314523443
   Peters E, 2011, MED DECIS MAKING, V31, P432, DOI 10.1177/0272989X10391672
   Phillips Y., 2011, NZ AGR RES EC SOC C
   Piercey MD, 2009, ORGAN BEHAV HUM DEC, V108, P330, DOI 10.1016/j.obhdp.2008.05.004
   Reynaud A, 2016, ENVIRON MODEL ASSESS, V21, P603, DOI 10.1007/s10666-016-9500-z
   Reynaud A, 2013, GENEVA PAP R I-ISS P, V38, P547, DOI 10.1057/gpp.2013.16
   Roberts DC, 2008, ECOL ECON, V66, P584, DOI 10.1016/j.ecolecon.2008.05.010
   Rolfe J., 2009, Crawford School of Economics and Government
   Rolfe J., 2010, BIOECON C JAN VEN SE
   Rolfe J, 2015, ENVIRON RESOUR ECON, V60, P125, DOI 10.1007/s10640-014-9760-5
   Rose JM, 2013, TRANSPORTATION, V40, P1021, DOI 10.1007/s11116-013-9451-z
   Rose JM, 2009, TRANSPORT REV, V29, P587, DOI 10.1080/01441640902827623
   Sándor Z, 2001, J MARKETING RES, V38, P430, DOI 10.1509/jmkr.38.4.430.18904
   Scarpa R, 2008, AM J AGR ECON, V90, P994, DOI 10.1111/j.1467-8276.2008.01155.x
   Scarpa R, 2008, AUST J AGR RESOUR EC, V52, P253, DOI 10.1111/j.1467-8489.2007.00436.x
   SCHKADE DA, 1994, J ENVIRON ECON MANAG, V26, P88, DOI 10.1006/jeem.1994.1006
   Schultz ET, 2012, RESTOR ECOL, V20, P304, DOI 10.1111/j.1526-100X.2011.00854.x
   Shaw W.D., 2010, INT J MASS EMERGENCI, V28, P87
   Sirota M, 2012, ACTA PSYCHOL, V141, P391, DOI 10.1016/j.actpsy.2012.09.004
   SLOVIC P, 1987, SCIENCE, V236, P280, DOI 10.1126/science.3563507
   Slovic P., 1985, PERILOUS PROGR, P91
   Slovic P., 2000, The Perception of Risk, DOI [10.4324/9781315661773, DOI 10.4324/9781315661773]
   Spiegelhalter D, 2017, ANNU REV STAT APPL, V4, P31, DOI 10.1146/annurev-statistics-010814-020148
   Starmer C, 2000, J ECON LIT, V38, P332, DOI 10.1257/jel.38.2.332
   Thiene M, 2009, ENVIRON RESOUR ECON, V44, P379, DOI 10.1007/s10640-009-9291-7
   Thom R.M., 2004, Report 04-R-02 Prepared for the U.S. Department of Energy under Contract DE-AC06-76RL01830
   Torres C., 2017, Framing individual choice behaviour in uncertain environmental settings: an analysis of tourist preferences in the face of global warming
   Torres C, 2017, ECOL ECON, V131, P231, DOI 10.1016/j.ecolecon.2016.09.001
   Train K.W.M., 2005, APPL SIMULATION METH, P1, DOI DOI 10.1007/1-4020-3684-1_1
   Vass C, 2019, PATIENT, V12, P113, DOI 10.1007/s40271-018-0326-4
   Vass CM, 2020, PATIENT, V13, P163, DOI 10.1007/s40271-019-00391-w
   Veronesi M, 2014, ECOL ECON, V98, P1, DOI 10.1016/j.ecolecon.2013.12.005
   Vinent OD, 2019, J ENVIRON ECON MANAG, V98, DOI 10.1016/j.jeem.2019.102262
   Viscusi WK, 2006, CLIMATIC CHANGE, V77, P151, DOI 10.1007/s10584-006-9075-9
   Visschers VHM, 2009, RISK ANAL, V29, P267, DOI 10.1111/j.1539-6924.2008.01137.x
   Wibbenmeyer MJ, 2013, RISK ANAL, V33, P1021, DOI 10.1111/j.1539-6924.2012.01894.x
   Wielgus J, 2009, J ENVIRON MANAGE, V90, P3401, DOI 10.1016/j.jenvman.2009.05.010
   Windschitl PD, 1999, J EXP PSYCHOL LEARN, V25, P1514, DOI 10.1037/0278-7393.25.6.1514
   Yamagishi K, 1997, APPL COGNITIVE PSYCH, V11, P495, DOI 10.1002/(SICI)1099-0720(199712)11:6<495::AID-ACP481>3.0.CO;2-J
   Zhai G, 2007, WATER ENVIRON J, V21, P265, DOI 10.1111/j.1747-6593.2007.00072.x
   Zipkin DA, 2014, ANN INTERN MED, V161, P270, DOI 10.7326/M14-0295
NR 99
TC 2
Z9 2
U1 4
U2 6
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 JUN 1
PY 2024
VL 107
AR 104481
DI 10.1016/j.ijdrr.2024.104481
EA APR 2024
PG 17
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA SI4Y1
UT WOS:001233824100001
DA 2025-01-10
ER

PT J
AU Islam, AMT
   Al Mamun, A
   Rahman, MN
   Akter, MY
   Chisty, MA
   Alam, GMM
   Mallick, J
   Sohel, MS
AF Islam, Abu Reza Md Towfiqul
   Al Mamun, Abdullah
   Rahman, Md Naimur
   Akter, Mst Yeasmin
   Chisty, Musabber Ali
   Alam, G. M. Monirul
   Mallick, Javed
   Sohel, Md Salman
TI A cost-benefit analysis of flood early warning system: Evidence from
   lower Brahmaputra River Basin, Bangladesh
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Cost-benefit analysis; Disaster risk reduction; Brahmaputra River Basin;
   Loss and damage ratio; Flood early warning
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK; RESILIENCE
AB Bangladesh is a severely flood -affected country that ranks fifth globally. Although it is well established that regional and community -based flood early warning systems (FEWS) may minimize the effects of floods, cost -benefit analyses of FEWS are still limited in Bangladesh. This is the first study to assess the cost -benefit of the FEWS in lower Brahmaputra River basin in Bangladesh which included 1000 household surveys, 32 focus group discussion, and key informant interviews. The findings indicated that during the floods, families considered the FEWS to be useful and trustworthy, enabling them to preserve household assets, agricultural, and livestock expenditures worth of BDT 267713 (USD 2525.59) per household. Based on the different scenarios, the benefit -cost ratio (BCR) ranged from 79.87 to 213. About 92% of the respondents expressed willingness to pay an annual charge of BDT 100.63 (USD 0.94) for five years if the community disaster committees were to handle the current FEWS. This might generate BDT 100637 (USD 949.40) annually, to pay for the system's maintenance and operations. As communities' advance confidence in the FEWS system and lead times are enhanced, FEWS increasingly changes their behaviors over time, leading to enhanced social capital and a broader range of early interventions that lessen preventable loss and damage. By extending the forecast lead time by two days, the present savings could increase by 21.7 times. To increase funding, government and non -government organizations may make decisions based on the findings of the cost -benefit analysis. This study also proposed a FEWS applicable in the local level.
C1 [Islam, Abu Reza Md Towfiqul; Al Mamun, Abdullah; Akter, Mst Yeasmin] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
   [Rahman, Md Naimur] Hong Kong Baptist Univ, Dept Geog, Hong Kong, Peoples R China.
   [Chisty, Musabber Ali] Univ Colorado Boulder, Dept Sociol, Boulder, CO USA.
   [Chisty, Musabber Ali] Univ Colorado Boulder, Inst Behav Sci, Nat Hazards Ctr, Boulder, CO USA.
   [Chisty, Musabber Ali] Univ Dhaka, Inst Disaster Management & Vulnerabil Studies, Dhaka, Bangladesh.
   [Alam, G. M. Monirul] Bangabandhu Sheikh Mujibur Rahman Agr Univ, Dept Agribusiness, Salna 1706, Gazipur, Bangladesh.
   [Mallick, Javed] King Khalid Univ, Coll Engn, Dept Civil Engn, Abha 62529, Saudi Arabia.
   [Islam, Abu Reza Md Towfiqul; Rahman, Md Naimur; Sohel, Md Salman] Daffodil Int Univ, Dept Dev Studies, Dhaka 1216, Bangladesh.
   [Rahman, Md Naimur] Hong Kong Baptist Univ, David C Lam Inst East West Studies, Hong Kong, Peoples R China.
C3 Hong Kong Baptist University; University of Colorado System; University
   of Colorado Boulder; University of Colorado System; University of
   Colorado Boulder; University of Dhaka; Bangabandhu Sheikh Mujibur Rahman
   Agricultural University (BSMRAU); King Khalid University; Daffodil
   International University; Hong Kong Baptist University
RP Islam, AMT (corresponding author), Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh.
EM towfiq_dm@brur.ac.bd; mamundsm28@gmail.com; naimurbrur@gmail.com;
   yeasmin.swapna.dm@gmail.com; musabber.chisty@colorado.edu;
   gmmonirul79@gmail.com; jmallick@kku.edu.sa; salman.ds0044.c@diu.edu.bd
RI Mamun, Abdullah Al/ABC-7588-2021; Mallick, Javed/AAH-6444-2020; Islam,
   Abu/AAN-8105-2020; Rahman, Md Naimur/GQO-9250-2022; Alam, G M
   Monirul/K-9881-2017; Chisty, Musabber/ACA-2427-2022
OI , Abdullah Al Mamun/0000-0001-7822-642X; Rahman, Md.
   Naimur/0000-0001-5236-3784; Chisty, Musabber Ali/0000-0002-9638-2212
FU King Khalid University [RGP2/442/44]
FX Authors extend thier appreciation to the Deanship of Scientific Research
   at King Khalid University for funding this work through Large Groups
   Project under grant numbers RGP2/442/44.
CR Ali MSS, 2019, IOP C SER EARTH ENV, V235, DOI 10.1088/1755-1315/235/1/012012
   [Anonymous], 2013, BMD
   [Anonymous], 2004, Basic terms of disaster risk reduction
   [Anonymous], 2019, Sendai Framework for Disaster Risk Reduction 2015-2030
   Barua P, 2020, Water Conser. Manag., V4, P20, DOI DOI 10.26480/WCM.01.2020.20.31
   Bazeley P., 2013, Qualitative Data Analysis: Practical Strategies
   Bergstrand K, 2020, SOC NATUR RESOUR, V33, P386, DOI 10.1080/08941920.2019.1709002
   Cassar A, 2017, WORLD DEV, V94, P90, DOI 10.1016/j.worlddev.2016.12.042
   Chisty MA, 2022, INT J DISAST RISK RE, V76, DOI 10.1016/j.ijdrr.2022.103039
   Cochran W.G., 1977, Sampling techniques, V3rd ed.
   Cumiskey L., 2014, Bangladesh: Final Report
   Dehnhardt A, 2022, ENVIRON SCI POLICY, V137, P53, DOI 10.1016/j.envsci.2022.08.005
   Dilley M, 2005, DISAST RISK MANAGE, P1
   Fankhauser S., 2014, NONECONOMIC LOSSES C
   GoB, 2012, DISASTER MANAGEMENT
   Gros C, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101275
   Hallegatte S., 2016, Unbreakable: Building the resilience of the poor in the face of natural disasters
   IFRC, 2018, Emergency Plan of Action Operation Update: Bangladesh: Floods
   Islam MA, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031758
   Jerome Glago F, 2021, Flood Disaster Hazards; Causes, Impacts and Management: A State-of-the-Art Review. Natural Hazards-Impacts, Adjustments and Resilience, DOI [10.5772/intechopen.95048, DOI 10.5772/INTECHOPEN.95048]
   Keogh DU, 2011, NAT HAZARDS, V59, P699, DOI 10.1007/s11069-011-9791-y
   Kimuli JB, 2021, INT J DISAST RISK RE, V59, DOI 10.1016/j.ijdrr.2021.102237
   Kull D, 2013, DISASTERS, V37, P374, DOI 10.1111/disa.12002
   Ludin SM, 2019, HEALTH SOC CARE COMM, V27, P621, DOI 10.1111/hsc.12674
   MacClune K., 2014, Urgent Case of Recovery: what We Can Learn from the August 2014
   Macherera Margaret, 2016, Jamba, V8, P206, DOI 10.4102/jamba.v8i1.206
   Mechler R, 2014, NAT CLIM CHANGE, V4, P235, DOI 10.1038/nclimate2137
   Merz B, 2010, NAT HAZARD EARTH SYS, V10, P1697, DOI 10.5194/nhess-10-1697-2010
   Mishra N., 2009, Social Capital Among Flood Affected Communities of Mumbai
   Muhtasim DA, 2022, INT J ADV COMPUT SC, V13, P195
   Pappenberger F, 2015, ENVIRON SCI POLICY, V51, P278, DOI 10.1016/j.envsci.2015.04.016
   Pavelic P., 2015, Controlling floods and droughts through underground storage: from concept to pilot implementation in the Ganges River Basin, V165
   Perera, 2019, Flood Early Warning Systems: a Review of Benefits, Challenges and Prospects
   Radtke K., 2019, The World Risk Index, V2019, P43
   Rahman MR, 2018, EGYPT J REMOTE SENS, V21, pS37, DOI 10.1016/j.ejrs.2017.10.002
   Rahman R., 2013, DISASTER RISK REDUCT, P65, DOI [10.1007/978-4-431-54252-0_4, 10.1007/978-4-431-54252-04, DOI 10.1007/978-4-431-54252-0_4]
   Rahman S, 2019, MANAG ENVIRON QUAL, V30, P498, DOI 10.1108/MEQ-01-2018-0021
   Rai RK, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01668
   Rana IA, 2021, ENVIRON HAZARDS-UK, V20, P209, DOI 10.1080/17477891.2020.1751031
   Rogers D., 2011, GLOBAL ASSESSMENT RE
   Sättele M, 2016, NAT HAZARD EARTH SYS, V16, P149, DOI 10.5194/nhess-16-149-2016
   Sai F., 2018, Nat. Hazards Earth Syst. Sci. Discuss., P1, DOI [10.5194/nhess-2018-26, DOI 10.5194/NHESS-2018-26]
   Sholihah Q, 2020, IOP C SER EARTH ENV, V437, DOI 10.1088/1755-1315/437/1/012056
   Smith PJ, 2017, NAT HAZARD EARTH SYS, V17, P423, DOI 10.5194/nhess-17-423-2017
   Spotlight, 2013, Early Warning System: Curbing the Damage
   Stromberg D., 2007, Journal of Economic Perspectives, V21, P199, DOI 10.1257/jep.21.3.199
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thielen-del Pozo J., 2015, The Benefit of Continental Flood Early Warning Systems to Reduce the Impact of Flood Disasters
   Thielen-del Pozo J., 2015, EUR Sci. Tech. Res. Rep.
   Tingsanchali T, 2012, PROCEDIA ENGINEER, V32, P25, DOI 10.1016/j.proeng.2012.01.1233
   UNDRR, 2020, UN Annu. Rep., P1
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Webster PJ, 2010, B AM METEOROL SOC, V91, P1493, DOI 10.1175/2010BAMS2911.1
   Willenbockel D., 2011, A Cost-Benefit Analysis of Practical Action's Livelihood-Centered Disaster Risk Management Project in Nepal
   WMO, 2018, WMO-No.1233
   Xie XL, 2021, NAT HAZARDS, V107, P2573, DOI 10.1007/s11069-021-04505-2
   Yang H., 2015, J. Earth Sci., V26
   Yin R. K., 2009, CASE STUDY RES DESIG
   Zhang JZ, 2018, LAND USE POLICY, V76, P746, DOI 10.1016/j.landusepol.2018.03.002
NR 59
TC 2
Z9 2
U1 7
U2 7
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 APR 1
PY 2024
VL 104
AR 104380
DI 10.1016/j.ijdrr.2024.104380
EA MAR 2024
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 QQ3M2
UT WOS:001222295200001
DA 2025-01-10
ER

PT J
AU Siddiqui, RA
   Adamu, Z
   Ebohon, OJ
   Aslam, W
AF Siddiqui, Rabbia Aslam
   Adamu, Zulfikar
   Ebohon, Obas John
   Aslam, Wajeeha
TI Factors affecting intention to adopt green building practices: a journey
   towards meeting sustainable goals
SO CONSTRUCTION INNOVATION-ENGLAND
LA English
DT Article; Early Access
DE Green building; Sustainable building; TPB; Government support; Green
   knowledge
ID PLANNED BEHAVIOR; ENVIRONMENTAL CONCERN; SUBJECTIVE NORMS; TECHNOLOGIES
   ADOPTION; PURCHASE INTENTION; PLS-SEM; KNOWLEDGE; CONSUMERS; BARRIERS;
   DRIVERS
AB PurposeThe construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB).Design/methodology/approachUsing non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290.FindingsFindings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices.Practical implicationsThis study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry.Originality/valueThis study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.
C1 [Siddiqui, Rabbia Aslam; Adamu, Zulfikar; Ebohon, Obas John] London South Bank Univ, Dept Built Environm & Architecture, London, England.
   [Aslam, Wajeeha] IQRA Univ, Dept Business Adm, Karachi, Pakistan.
C3 London South Bank University; Iqra University
RP Aslam, W (corresponding author), IQRA Univ, Dept Business Adm, Karachi, Pakistan.
EM rabbiaslam@hotmail.com; adamuz@lsbu.ac.uk; ebohono@lsbu.ac.uk;
   wajeeha_aslam_87@live.com
RI Ebohon, Obas/L-1740-2018; Aslam, Wajeeha/ABT-0499-2022
CR Abbasi KR, 2021, ENERGY, V221, DOI 10.1016/j.energy.2021.119793
   Aboelmaged M, 2021, J CLEAN PROD, V278, DOI 10.1016/j.jclepro.2020.124182
   Ahn Y.H., 2013, INT J SUSTAINABLE BU, V4, P35, DOI DOI 10.1080/2093761X.2012.759887
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Al-Swidi A, 2014, BRIT FOOD J, V116, P1561, DOI 10.1108/BFJ-05-2013-0105
   Alam SS, 2014, RENEW ENERG, V68, P255, DOI 10.1016/j.renene.2014.02.010
   Alarcon D., 2015, SPAN STAT M U PABL O, V39
   Andriana S., 2023, The importance of green building practices
   [Anonymous], 2014, The Pakistan Development Review, DOI 10.30541/v53i4IIpp.371-381
   Asadi S, 2019, RESOUR CONSERV RECY, V148, P36, DOI 10.1016/j.resconrec.2019.04.028
   Aslam A., 2012, Sci. Int.(Lahore), V24, P495
   Aslam W, 2024, INT J ETHICS SYST, V40, P456, DOI 10.1108/IJOES-01-2023-0019
   Aslam W, 2023, IIM KOZHIKODE SOC MA, V12, P213, DOI 10.1177/22779752231168169
   Aslam W, 2023, INT J ETHICS SYST, V39, P820, DOI 10.1108/IJOES-06-2022-0125
   Aslam W, 2021, INT J GREEN ENERGY, V18, P243, DOI 10.1080/15435075.2020.1854266
   Ayarkwa J, 2022, CLEAN ENG TECHNOL, V7, DOI 10.1016/j.clet.2022.100455
   Azeem S, 2020, GREEN ENERGY TECHNOL, P199, DOI 10.1007/978-3-030-24650-1_11
   Azeem S, 2017, SMART SUSTAIN BUILT, V6, P86, DOI 10.1108/SASBE-06-2017-0023
   Badrulhisham N, 2016, PROCD SOC BEHV, V234, P210, DOI 10.1016/j.sbspro.2016.10.236
   Balasubramanian S, 2017, SUPPLY CHAIN MANAG, V22, P58, DOI 10.1108/SCM-07-2016-0227
   Bamberg S, 2003, J ENVIRON PSYCHOL, V23, P21, DOI 10.1016/S0272-4944(02)00078-6
   Bamberg S, 2003, ENVIRON BEHAV, V35, P264, DOI 10.1177/0013916502250134
   Bamberg S, 2007, J ENVIRON PSYCHOL, V27, P14, DOI 10.1016/j.jenvp.2006.12.002
   Bhandari P., 2023, Correlational Research | When and ow to Use
   Botetzagias I, 2015, RESOUR CONSERV RECY, V95, P58, DOI 10.1016/j.resconrec.2014.12.004
   Cai SJ, 2019, J CLEAN PROD, V212, P602, DOI 10.1016/j.jclepro.2018.12.072
   Campbell S, 2020, J RES NURS, V25, P652, DOI 10.1177/1744987120927206
   Chan ESW, 2014, INT J HOSP MANAG, V40, P20, DOI 10.1016/j.ijhm.2014.03.001
   Chen K, 2016, EURASIA J MATH SCI T, V12, P527
   Chen MF, 2014, INT J HOSP MANAG, V36, P221, DOI 10.1016/j.ijhm.2013.09.006
   Chin WW, 1998, QUANT METH SER, P295
   Clark L. A., 2016, Constructing validity: Basic issues in objective scale development
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Cunningham G. B., 2003, Sport Management Review, V6, P127, DOI 10.1016/S1441-3523(03)70056-4
   Dalvi-Esfahani M, 2017, IND MANAGE DATA SYST, V117, P582, DOI 10.1108/IMDS-02-2016-0049
   Darko A, 2018, J CLEAN PROD, V200, P687, DOI 10.1016/j.jclepro.2018.07.318
   Darko A, 2017, ENERG BUILDINGS, V144, P320, DOI 10.1016/j.enbuild.2017.03.060
   Dezdar S, 2017, SOC RESPONSIB J, V13, P292, DOI 10.1108/SRJ-05-2016-0064
   Eckstein D., 2019, GLOBAL CLIMATE RISK
   Finlay KA, 1999, J APPL SOC PSYCHOL, V29, P2381, DOI 10.1111/j.1559-1816.1999.tb00116.x
   Fisher C., 2012, Journal of Targeting, Measurement and Analysis for Marketing, V20, P172, DOI [10.1057/jt.2012.13, DOI 10.1057/JT.2012.13]
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Fornell C., 1994, Advanced Methods of Marketing Research, V407, P52, DOI DOI 10.1002/0471667196.ESS1914.PUB2
   Francis J., 2004, CONSTRUCTING QUESTIO
   Franzen Axel., 2019, EINSTELLUNGEN VERHAL, P253, DOI DOI 10.1007/978-3-658-16348-8_11
   Frick J, 2004, PERS INDIV DIFFER, V37, P1597, DOI 10.1016/j.paid.2004.02.015
   Fryxell GE, 2003, J BUS ETHICS, V46, P45, DOI 10.1023/A:1024773012398
   Fung L.Y., 2014, Developing Green Building Policy in Hong Kong
   Gray J., 2018, Sustainable Build
   GUTMAN J, 1982, J MARKETING, V46, P60, DOI 10.2307/3203341
   Ha HY, 2012, J CONSUM MARK, V29, P461, DOI 10.1108/07363761211274974
   Hagger M.S., 2019, Oxford Bibliographies in Psychology, DOI DOI 10.1093/OBO/9780199828340-0240
   Hair J., 2017, A primer on partial least squares structural equation modeling (PLS-SEM)
   Hair JF, 2011, J MARKET THEORY PRAC, V19, P139, DOI 10.2753/MTP1069-6679190202
   Hameed I, 2019, ENVIRON SCI POLLUT R, V26, P15535, DOI 10.1007/s11356-019-04967-9
   Hammond SF, 2021, ENG CONSTR ARCHIT MA, V28, P833, DOI 10.1108/ECAM-06-2020-0410
   Han H, 2010, INT J HOSP MANAG, V29, P659, DOI 10.1016/j.ijhm.2010.01.001
   Hartmann P, 2012, J BUS RES, V65, P1254, DOI 10.1016/j.jbusres.2011.11.001
   Hess JJ, 2014, AM J PUBLIC HEALTH, V104, pE22, DOI 10.2105/AJPH.2013.301796
   Hua L, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102994
   Iacovidou E, 2018, J ENVIRON MANAGE, V216, P214, DOI 10.1016/j.jenvman.2017.04.093
   Iqbal M, 2021, ENVIRON SCI POLLUT R, V28, P34793, DOI 10.1007/s11356-021-12917-7
   Jaiswal D, 2018, J RETAIL CONSUM SERV, V41, P60, DOI 10.1016/j.jretconser.2017.11.008
   Johannesson P., 2014, An introduction to design science, P39, DOI 10.1007/978-3-319-10632-8_3
   Khaemba P., 2014, Global Journal of Business Research, V8, P69
   Khan MK, 2020, FINANC INNOV, V6, DOI 10.1186/s40854-019-0162-0
   Kim HY, 2011, J CONSUM MARK, V28, P40, DOI 10.1108/07363761111101930
   Ko S.B., 2017, Journal of Fashion Marketing and Management: An International Journal
   Kumar P, 2015, MARK INTELL PLAN, V33, P330, DOI 10.1108/MIP-03-2014-0068
   Leal W, 2016, J CLEAN PROD, V113, P755, DOI 10.1016/j.jclepro.2015.11.060
   Lee SY, 2008, SUPPLY CHAIN MANAG, V13, P185, DOI 10.1108/13598540810871235
   Levin G., 1990, Advertising Age, V61, P74
   Li GM, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11041073
   Liu YX, 2018, ENERG POLICY, V112, P152, DOI 10.1016/j.enpol.2017.10.020
   Lowry PB, 2014, IEEE T PROF COMMUN, V57, P123, DOI 10.1109/TPC.2014.2312452
   Manaktola K., 2007, International Journal of Contemporary Hospitality Management, V19
   Mills B., 2013, Sustainable energy consumption in residential buildings, P39, DOI DOI 10.1007/978-3-7908-2849-82
   Tseng ML, 2022, J IND PROD ENG, V39, P430, DOI [10.1080/21681015.2022.2040622, 10.1080/21681015.2022.2070934]
   Mohamad Bohari A.A., 2016, ENV BEHAV P J
   Moisander Johanna., 2007, International Journal of Consumer Studies, V31, P404, DOI [10.1111/j.1470-6431.2007.00586.x, DOI 10.1111/J.1470-6431.2007.00586.X, DOI 10.30539/IRAQIJVM.V36I0E.404]
   Mostafa MM, 2007, PSYCHOL MARKET, V24, P445, DOI 10.1002/mar.20168
   Nduka D.O., 2015, Journal of Environment and Earth Science, V5, P188
   Ogiemwonyi O, 2022, ENVIRON SUSTAIN IND, V13, DOI 10.1016/j.indic.2021.100164
   Paul J, 2016, J RETAIL CONSUM SERV, V29, P123, DOI 10.1016/j.jretconser.2015.11.006
   Pollitt C, 2016, PUBLIC MONEY MANAGE, V36, P78, DOI 10.1080/09540962.2016.1118925
   Qi GY, 2010, J CLEAN PROD, V18, P1358, DOI 10.1016/j.jclepro.2010.04.017
   Qureshi S.A., 2019, INT C SUST DEV CIV E
   Rahman M., 2013, Green products: a study on young and native Swedish consumers purchase intentions of green products
   Romo-González JR, 2018, INFORM DEV, V34, P526, DOI 10.1177/0266666918795025
   Russell SV, 2017, RESOUR CONSERV RECY, V125, P107, DOI 10.1016/j.resconrec.2017.06.007
   Sagheb A., 2011, NAT C REC TRENDS CIV
   Saleh RM, 2020, INT J ENVIRON SUSTAI, V19, P33, DOI 10.1504/IJESD.2020.105468
   Saleh RM, 2019, MANAG ENVIRON QUAL, V30, P1238, DOI 10.1108/MEQ-12-2018-0208
   Schultz PW, 1996, SOC PSYCHOL QUART, V59, P375, DOI 10.2307/2787078
   Schwartz S.H., 2012, ONLINE READINGS PSYC, V2, DOI DOI 10.9707/2307-0919.1116
   Sekaran U., 2013, Research Methods for Business, Vsix
   Serpell A, 2013, TECHNOL ECON DEV ECO, V19, P272, DOI 10.3846/20294913.2013.798597
   Shan M, 2018, SUSTAIN CITIES SOC, V39, P172, DOI 10.1016/j.scs.2018.02.034
   Sharma M, 2018, J CLEAN PROD, V190, P538, DOI 10.1016/j.jclepro.2018.04.154
   Sheatsley P., 1983, Handbook of survey research, P195, DOI DOI 10.1016/B978-0-12-598226-9.50012-4
   Shi Q, 2013, HABITAT INT, V40, P1, DOI 10.1016/j.habitatint.2013.01.003
   Singh AjayKumar., 2012, The Indian Journal of Commerce, V65, P273
   Sohail M., 2011, Sci. Vis., V16, P27
   Soper D.S, 2022, A priori sample size calculator for structural equation models
   Suki NM, 2015, MANAG ENVIRON QUAL, V26, P103, DOI 10.1108/MEQ-02-2014-0023
   Tan CS, 2017, ENERG POLICY, V107, P459, DOI 10.1016/j.enpol.2017.05.027
   Tan YT, 2011, HABITAT INT, V35, P225, DOI 10.1016/j.habitatint.2010.09.008
   Tarkiainen A, 2005, BRIT FOOD J, V107, P808, DOI 10.1108/00070700510629760
   Tran Q., 2021, Journal of Economics and Development, V24
   Turner H. T., 2004, Political Psychology
   Valle G., 2023, 11 Most common sustainable building practices
   Varshneya G, 2017, GLOB BUS REV, V18, P478, DOI 10.1177/0972150916668620
   Waheed A, 2021, ENVIRON MANAGE, V67, P793, DOI 10.1007/s00267-021-01449-y
   Wang W, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114135
   Waris I, 2020, MANAG ENVIRON QUAL, V31, P915, DOI 10.1108/MEQ-01-2020-0001
   Wu R., 2016, Green Buildings and Green Users: An Assessment of Using Green Building Environments to Communicate Sustainability to Users
   Wu ZZ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16173140
   Xie XH, 2020, GREEN ENERGY TECHNOL, P33, DOI 10.1007/978-3-030-24650-1_3
   Yazdanpanah M, 2015, RENEW SUST ENERG REV, V45, P565, DOI 10.1016/j.rser.2015.02.002
   Yildirim E, 2014, ENERG ECON, V44, P14, DOI 10.1016/j.eneco.2014.03.010
   Zhang B, 2015, J ENVIRON PSYCHOL, V43, P203, DOI 10.1016/j.jenvp.2015.07.002
   Zhang L, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041044
   ZIMMER MR, 1994, J BUS RES, V30, P63, DOI 10.1016/0148-2963(94)90069-8
NR 123
TC 2
Z9 2
U1 3
U2 7
PU EMERALD GROUP PUBLISHING LTD
PI Leeds
PA Floor 5, Northspring 21-23 Wellington Street, Leeds, W YORKSHIRE,
   ENGLAND
SN 1471-4175
EI 1477-0857
J9 CONSTR INNOV-ENGL
JI Constr. Innov.-Engl.
PD 2024 MAR 1
PY 2024
DI 10.1108/CI-04-2023-0074
EA MAR 2024
PG 24
WC Construction & Building Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology
GA JP3A7
UT WOS:001174318600001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Restrepo-Mieth, A
   Perry, J
   Garnick, J
   Weisberg, M
AF Restrepo-Mieth, Andrea
   Perry, Jocelyn
   Garnick, Jonah
   Weisberg, Michael
TI Community-based participatory climate action
SO GLOBAL SUSTAINABILITY
LA English
DT Article
DE adaptation and mitigation; communication and education; human behavior;
   policies; politics and governance
ID CHANGE ADAPTATION; EDUCATION; JUSTICE
AB Non-technical summaryImproving the flow of information between governments and local communities is paramount to achieving effective climate change mitigation and adaptation. We propose five pathways to deepen participation and improve community-based climate action. The pathways can be summarized as visualization, simulations to practice decision-making, participatory budgeting and planning, environmental civic service, and education and curriculum development. These pathways contribute to improving governance by consolidating in governments the practice of soliciting and incorporating community participation while simultaneously giving communities the tools and knowledge needed to become active contributors to climate change adaptation and mitigation measures.Technical summaryCommunity participation is considered a key component in the design of responses to climate change. Substantial engagement of local communities is required to ensure information flow between governments and communities, but also because local communities are the primary sites of adaptation action. However, frontline communities are often excluded from decision-making and implementation processes due to political choices or failures to identify ways to make participatory frameworks more inclusive. Climate action requires the active engagement of communities in making consequential decisions, or what we term deepened participation. We propose five pathways to deepen participation: visualization, simulations to practice decision-making, participatory budgeting and planning, environmental civic service, and education and curriculum development. The five pathways identify strategies that can be incorporated into existing organizational and institutional frameworks or used to create new ones. Shortcomings related to each strategy are identified. Reflection by communities and governments is encouraged as they choose which participatory technique(s) to adopt.Social media summaryClimate action requires the active engagement of communities. Learn five pathways to get started deepening participation.
C1 [Restrepo-Mieth, Andrea] Rutgers State Univ, Edward J Bloustein Sch Planning & Publ Policy, New Brunswick, NJ USA.
   [Perry, Jocelyn] Univ Oxford, Blavatnik Sch Govt, Oxford, England.
   [Garnick, Jonah] Univ Penn, Stuart Weitzman Sch Design, Philadelphia, PA USA.
   [Weisberg, Michael] Univ Penn, Perry World House, Philadelphia, PA 19104 USA.
   [Weisberg, Michael] Univ Penn, Dept Philosophy, Philadelphia, PA 19104 USA.
C3 Rutgers University System; Rutgers University New Brunswick; University
   of Oxford; University of Pennsylvania; University of Pennsylvania;
   University of Pennsylvania
RP Weisberg, M (corresponding author), Univ Penn, Perry World House, Philadelphia, PA 19104 USA.; Weisberg, M (corresponding author), Univ Penn, Dept Philosophy, Philadelphia, PA 19104 USA.
EM weisberg@phil.upenn.edu
RI Restrepo-Mieth, Andrea/KDN-6694-2024
OI Perry, Jocelyn/0009-0005-2430-1291; Weisberg,
   Michael/0000-0002-3944-1167; Restrepo-Mieth, Andrea/0000-0002-6791-7345
FU We thank members of the University of Pennsylvaniaamp;apos;s Climate
   Action Research Group for their thoughtful feedback on an earlier draft
   of this manuscript.
FX We thank members of the University of Pennsylvania & apos;s Climate
   Action Research Group for their thoughtful feedback on an earlier draft
   of this manuscript.
CR [Anonymous], 1992, United Nations Framework Convention on Climate Change
   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
   Bachofen C., 2012, CAN GAMES HELP PEOPL
   Bridgeland J. M., 2019, WILL AM EMBRACE NATL
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   Burke M, 2018, GLOBAL ENVIRON CHANG, V49, P95, DOI 10.1016/j.gloenvcha.2018.02.007
   Cabannes Y, 2021, ENVIRON URBAN, V33, P356, DOI 10.1177/09562478211021710
   Cohen T, 2012, ENVIRON DEV, V2, P18, DOI 10.1016/j.envdev.2012.03.016
   Ebi KL, 2009, ENVIRON JUSTICE, V2, P191, DOI 10.1089/env.2009.0031
   Einstein KL, 2020, NEIGHBORHOOD DEFENDERS: PARTICIPATORY POLITICS AND AMERICA'S HOUSING CRISIS, P1, DOI 10.1017/9781108769495
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fleming B., 2017, 2100 PROJECT ATLAS G
   Friedersdorf C., 2013, ATLANTIC
   Goldfrank B, 2006, LAT AM POLIT SOC, V48, P1, DOI 10.1353/lap.2006.0032
   Gordon V., 2016, PARTICIPATORY BUDGET, V1st, DOI [10.4324/9781315535296, DOI 10.4324/9781315535296]
   International Red Cross and Red Crescent Movement, 2021, CLIM GAM RED CRESC C
   Jimenez MF, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.338
   Kim D, 2018, ENVIRON PLAN B-URBAN, V45, P669, DOI 10.1177/0265813516683188
   Molefe D, 2001, AFR TODAY, V48, P105, DOI 10.1353/at.2001.0040
   Restrepo-Mieth A, 2023, PLAN THEORY PRACT, V24, P46, DOI 10.1080/14649357.2023.2183243
   Rumore D, 2016, NAT CLIM CHANGE, V6, P745, DOI 10.1038/NCLIMATE3084
   Sheppard SRJ, 2011, FUTURES, V43, P400, DOI 10.1016/j.futures.2011.01.009
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Shipley R., 2004, Planning Practice and Research, V19, P195, DOI DOI 10.1080/0269745042000284412
   Suarez P., 2013, USING GAMES EXPERIEN
   Tyson A., 2021, GEN Z MILLENNIALS ST
   UNFCCC. Subsidiary Body for Implementation (SBI), 2021, 8 DIAL ACT CLIM EMP
   US DIP, 2021, INT DEP WELC PRES BI
   US EPA, 2012, NAT ENV ED TRAIN PRO
NR 30
TC 5
Z9 5
U1 6
U2 13
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
EI 2059-4798
J9 GLOB SUSTAIN
JI Glob. Sustain.
PD AUG 11
PY 2023
VL 6
AR e14
DI 10.1017/sus.2023.12
PG 6
WC Green & Sustainable Science & Technology; Environmental Sciences;
   Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA Q5OA4
UT WOS:001058003000001
OA gold
DA 2025-01-10
ER

PT J
AU Stefanidis, S
   Rossiou, D
   Proutsos, N
AF Stefanidis, Stefanos
   Rossiou, Dimitra
   Proutsos, Nikolaos
TI Drought Severity and Trends in a Mediterranean Oak Forest
SO HYDROLOGY
LA English
DT Article
DE drought; SPEI; trend analysis; Mann-Kendall; forest meteorological
   station
ID STANDARDIZED PRECIPITATION INDEX; VEGETATION; VARIABILITY; SECURITY;
   SURFACE; IMPACT; WATER
AB Drought is a significant natural hazard with widespread socioeconomic and environmental impacts. This study investigated the long-term drought characteristics in a Mediterranean oak forest ecosystem using the Standardized Precipitation Evapotranspiration Index (SPEI) at various time scales and seasons. The analysis was based on a long-term time series dataset obtained from a meteorological station located at the University Forest of Taxiarchis in Greece. The dataset encompassed a substantial time span of 47 years of continuous monitoring, from 1974 to 2020. To accomplish the goals of the current research, the SPEI was calculated for 3, 6, 12, and 24-month periods, and drought events were identified. The Mann-Kendall (M-K) test was used to analyze the trends in drought severity and evaluate the trends significance. The results showed that shorter time scales (SPEI3 and SPEI6) were more efficient for identifying short-term droughts, while longer time scales (SPEI12 and SPEI24) were better for identifying less frequent but longer-lasting drought episodes. The analysis consistently revealed positive trends across all seasons and time scales, indicating an overall transition towards wetter conditions. Nearly all the data series for SPEI12 and SPEI24 exhibited statistically significant upward trends (wetter conditions) at a 95% confidence level. However, more intense events were detected during the recent decade using the seasonal analysis. Additionally, as the time scale expanded, the magnitude of these trends increased. The findings contributed to a better understanding of drought dynamics in Mediterranean oak forests and provided valuable information for forest management and climate change adaptation planning.
C1 [Stefanidis, Stefanos] Aristotle Univ Thessaloniki, Sch Forestry & Nat Environm, Lab Mountainous Water Management & Control, Saloniki 54124, Greece.
   [Rossiou, Dimitra] Aristotle Univ Thessaloniki, Sch Geol, Dept Meteorol & Climatol, Saloniki 54124, Greece.
   [Proutsos, Nikolaos] Hellen Agr Org DEMETER, Inst Mediterranean Forest Ecosyst, Athens 11528, Greece.
C3 Aristotle University of Thessaloniki; Aristotle University of
   Thessaloniki
RP Stefanidis, S (corresponding author), Aristotle Univ Thessaloniki, Sch Forestry & Nat Environm, Lab Mountainous Water Management & Control, Saloniki 54124, Greece.
EM ststefanid@gmail.com; drossiou@geo.auth.gr; np@fria.gr
RI ; Proutsos, Nikolaos/AAI-4227-2020
OI Stefanidis, Stefanos/0000-0002-7721-7553; Proutsos,
   Nikolaos/0000-0002-8270-2991
CR Aksu H, 2022, THEOR APPL CLIMATOL, V148, P517, DOI 10.1007/s00704-022-03960-6
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Anderson-Teixeira KJ, 2022, GLOBAL CHANGE BIOL, V28, P245, DOI 10.1111/gcb.15934
   [Anonymous], 2012, 25235 EUR
   Bachmair S, 2016, WIRES WATER, V3, P516, DOI 10.1002/wat2.1154
   Bajgain R, 2015, ISPRS J PHOTOGRAMM, V108, P151, DOI 10.1016/j.isprsjprs.2015.07.004
   Bourletsikas A, 2023, HYDROLOGY-BASEL, V10, DOI 10.3390/hydrology10040093
   Cammalleri C., 2020, Global warming and drought impacts in the EU, Technical report
   Linares JC, 2010, J ECOL, V98, P592, DOI 10.1111/j.1365-2745.2010.01645.x
   Centre for Research on the Epidemiology of Disasters (CRED), CRED DIS NUMB 2021
   Cherubini P, 2021, CURR FOR REP, V7, P69, DOI 10.1007/s40725-021-00137-8
   Cook BI, 2016, J GEOPHYS RES-ATMOS, V121, P2060, DOI 10.1002/2015JD023929
   Derner J. D., 2016, Rangelands, V38, P211
   Diffenbaugh NS, 2012, CLIMATIC CHANGE, V114, P813, DOI 10.1007/s10584-012-0570-x
   Dimitrakopoulos AP, 2011, CLIMATIC CHANGE, V109, P331, DOI 10.1007/s10584-011-0026-8
   Feidas H, 2007, THEOR APPL CLIMATOL, V87, P155, DOI 10.1007/s00704-006-0200-5
   Gao BC, 1996, REMOTE SENS ENVIRON, V58, P257, DOI 10.1016/S0034-4257(96)00067-3
   Ghaleb F, 2015, CLIMATE, V3, P563, DOI 10.3390/cli3030563
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   GOOSSENS C, 1986, ANN GEOPHYS B-TERR P, V4, P385
   Hänke H, 2016, LAND USE POLICY, V59, P111, DOI 10.1016/j.landusepol.2016.08.023
   He XG, 2019, CURR OPIN ENV SUST, V40, P43, DOI 10.1016/j.cosust.2019.09.006
   Huete A, 2002, REMOTE SENS ENVIRON, V83, P195, DOI 10.1016/S0034-4257(02)00096-2
   Jiang WX, 2020, INT J CLIMATOL, V40, P3380, DOI 10.1002/joc.6403
   KOGAN FN, 1995, ADV SPACE RES-SERIES, V15, P91, DOI 10.1016/0273-1177(95)00079-T
   Koppen W., 1931, Grundriss der Klimakunde
   Liu XF, 2016, J GEOGR SCI, V26, P750, DOI 10.1007/s11442-016-1297-9
   Liu Xingcai, 2009, Wuhan University Journal of Natural Sciences, V14, P518, DOI 10.1007/s11859-009-0611-0
   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]
   Mavromatis T, 2011, THEOR APPL CLIMATOL, V104, P13, DOI 10.1007/s00704-010-0320-9
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Mishra A, 2009, STOCH ENV RES RISK A, V23, P41, DOI 10.1007/s00477-007-0194-2
   Moreno-Fernández D, 2021, SCI TOTAL ENVIRON, V793, DOI 10.1016/j.scitotenv.2021.148578
   Myronidis D, 2021, STOCH ENV RES RISK A, V35, P1725, DOI 10.1007/s00477-021-02015-y
   Myronidis D, 2012, WATER RESOUR MANAG, V26, P4587, DOI 10.1007/s11269-012-0169-z
   Naumann G, 2021, NAT CLIM CHANGE, V11, P485, DOI 10.1038/s41558-021-01044-3
   Naumann G, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124013
   Palmer WC, 1965, Research Paper No. 45), DOI DOI 10.2172/5171425
   Parente J, 2019, SCI TOTAL ENVIRON, V685, P150, DOI 10.1016/j.scitotenv.2019.05.298
   Peters AJ, 2002, PHOTOGRAMM ENG REM S, V68, P71
   Philandras CM, 2011, NAT HAZARD EARTH SYS, V11, P3235, DOI 10.5194/nhess-11-3235-2011
   Proutsos N., 2020, European Water, P3
   Proutsos N., 2021, P 15 INT C METEOROLO, P564
   Proutsos N.D., 2022, P 10 INT C INFORM CO, P464
   Proutsos N.D., 2022, P 10 INT C INFORM CO, P456
   Proutsos N.D., 2022, P 10 INT C INFORM CO, P429
   Proutsos N.D., 2022, P 10 INT C INFORM CO, P472
   Proutsos N, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11060554
   Proutsos N, 2017, ATMOSFERA, V30, P311, DOI [10.20937/ATM.2017.30.04.03, 10.20937/atm.2017.30.04.03]
   Proutsos ND, 2021, ATMOS RES, V260, DOI 10.1016/j.atmosres.2021.105727
   Pyarali K, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01279-5
   Salvador C, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.134912
   Shadman F, 2016, RENEW SUST ENERG REV, V53, P50, DOI 10.1016/j.rser.2015.08.016
   Shahzaman M, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13163294
   Singh C, 2021, CURR OPIN ENV SUST, V50, P72, DOI 10.1016/j.cosust.2021.02.006
   Stefanidis S, 2021, HYDROLOGY-BASEL, V8, DOI 10.3390/hydrology8040160
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Tsakiris G, 2007, WATER RESOUR MANAG, V21, P821, DOI 10.1007/s11269-006-9105-4
   Tsesmelis DE, 2023, CLIMATE, V11, DOI 10.3390/cli11050095
   Tsiros IX, 2020, ATMOS RES, V240, DOI 10.1016/j.atmosres.2020.104914
   TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0
   Varlas G, 2022, CLIMATE, V10, DOI 10.3390/cli10020012
   Vicente-Serrano SM, 2020, EARTH-SCI REV, V201, DOI 10.1016/j.earscirev.2019.102953
   Vicente-Serrano SM, 2015, J HYDROL, V526, P42, DOI 10.1016/j.jhydrol.2014.11.025
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vicente-Serrano SM, 2005, HYDROL EARTH SYST SC, V9, P523, DOI 10.5194/hess-9-523-2005
   Wilhite DA, 2000, ROUTLEDGE HAZARDS DI, P3
   WMO (World Meteorological Organization), 2006, Drought Monitoring and Early Warning: Concepts, Progress and Future Challenges
   World Meteorological Organization (WMO), 1975, DROUGHT, V5
   Xiao XM, 2004, REMOTE SENS ENVIRON, V91, P256, DOI 10.1016/j.rse.2004.03.010
   Zhao MS, 2010, SCIENCE, V329, P940, DOI [10.1126/science.1192666, 10.1126/science.1189590]
   ,, 1991, Technical Note - World Meteorological Organization
NR 72
TC 26
Z9 26
U1 1
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2306-5338
J9 HYDROLOGY-BASEL
JI Hydrology
PD AUG
PY 2023
VL 10
IS 8
AR 167
DI 10.3390/hydrology10080167
PG 17
WC Water Resources
WE Emerging Sources Citation Index (ESCI)
SC Water Resources
GA Q3EZ4
UT WOS:001056391600001
OA gold
DA 2025-01-10
ER

PT J
AU An, D
   Eggeling, J
   Zhang, LN
   He, H
   Sapkota, A
   Wang, YC
   Gao, CS
AF An, Dong
   Eggeling, Jakob
   Zhang, Linus
   He, Hao
   Sapkota, Amir
   Wang, Yu-Chun
   Gao, Chuansi
TI Extreme precipitation patterns in the Asia-Pacific region and its
   correlation with El Nino-Southern Oscillation (ENSO)
SO SCIENTIFIC REPORTS
LA English
DT Article
ID INDIAN MONSOON; NORTH PACIFIC; VARIABILITY; RAINFALL; CLIMATE; IMPACT;
   FREQUENCY; EVOLUTION; VIETNAM; SEASON
AB In the Asia-Pacific region (APR), extreme precipitation is one of the most critical climate stressors, affecting 60% of the population and adding pressure to governance, economic, environmental, and public health challenges. In this study, we analyzed extreme precipitation spatiotemporal trends in APR using 11 different indices and revealed the dominant factors governing precipitation amount by attributing its variability to precipitation frequency and intensity. We further investigated how these extreme precipitation indices are influenced by El Nino-Southern Oscillation (ENSO) at a seasonal scale. The analysis covered 465 ERA5 (the fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts) study locations over eight countries and regions during 1990-2019. Results revealed a general decrease indicated by the extreme precipitation indices (e.g., the annual total amount of wet-day precipitation, average intensity of wet-day precipitation), particularly in central-eastern China, Bangladesh, eastern India, Peninsular Malaysia and Indonesia. We observed that the seasonal variability of the amount of wet-day precipitation in most locations in China and India are dominated by precipitation intensity in June-August (JJA), and by precipitation frequency in December-February (DJF). Locations in Malaysia and Indonesia are mostly dominated by precipitation intensity in March-May (MAM) and DJF. During ENSO positive phase, significant negative anomalies in seasonal precipitation indices (amount of wet-day precipitation, number of wet days and intensity of wet-day precipitation) were observed in Indonesia, while opposite results were observed for ENSO negative phase. These findings revealing patterns and drivers for extreme precipitation in APR may inform climate change adaptation and disaster risk reduction strategies in the study region.
C1 [An, Dong; Zhang, Linus] Lund Univ, Fac Engn LTH, Div Water Resources Engn, Lund, Sweden.
   [Eggeling, Jakob; Gao, Chuansi] Lund Univ, Div Ergon & Aerosol Technol, Aerosol & Climate Lab, Dept Design Sci,Fac Engn LTH, Lund, Sweden.
   [He, Hao] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA.
   [Sapkota, Amir] Univ Maryland, Sch Publ Hlth, Dept Epidemiol & Biostat, College Pk, MD 20742 USA.
   [Wang, Yu-Chun] Chung Yuan Christian Univ, Coll Engn, Dept Environm Engn, 200 Chung Pei Rd, Zhongli 320, Taiwan.
C3 Lund University; Lund University; University System of Maryland;
   University of Maryland College Park; University System of Maryland;
   University of Maryland College Park; Chung Yuan Christian University
RP An, D (corresponding author), Lund Univ, Fac Engn LTH, Div Water Resources Engn, Lund, Sweden.
EM dong.an@tvrl.lth.se
RI Wang, Yu-Chun/KHD-7292-2024; Gao, Chuansi/AAD-5270-2019; Sapkota,
   Amir/A-5968-2011; Zhang, Linus/ABH-1379-2021; Gao, Chuansi/C-6904-2011
OI Zhang, Linus/0000-0003-2676-3420; Gao, Chuansi/0000-0001-7386-692X;
   Eggeling, Jakob/0000-0003-0613-3704
FU Swedish Research Council for Health, Working Life and Welfare (Forte)
   [2019-01552]; Forte [2019-01552] Funding Source: Forte
FX AcknowledgementsThis study is funded by the Swedish Research Council for
   Health, Working Life and Welfare (Forte) (Grant 2019-01552).
CR Adams NA., 2020, ISEE C ABSTR, V2020, P366
   Adams N, 2022, PNAS NEXUS, V1, DOI 10.1093/pnasnexus/pgac032
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Almazroui M, 2021, EARTH SYST ENVIRON, V5, P481, DOI 10.1007/s41748-021-00250-5
   [Anonymous], 1994, Oceanography, DOI 10.5670/oceanog.1994.11
   Ashok K, 2001, GEOPHYS RES LETT, V28, P4499, DOI 10.1029/2001GL013294
   Attada R, 2022, PURE APPL GEOPHYS, DOI 10.1007/s00024-022-03184-9
   Bronaugh D., 2009, zyp: Zhang + Yue-Pilon trends package
   Cash BA, 2010, J CLIMATE, V23, P2817, DOI 10.1175/2009JCLI2512.1
   Chu PS, 2018, INT J CLIMATOL, V38, P5107, DOI 10.1002/joc.5715
   Nguyen DQ, 2014, INT J CLIMATOL, V34, P249, DOI 10.1002/joc.3684
   Dash S, 2019, THEOR APPL CLIMATOL, V138, P1667, DOI 10.1007/s00704-019-02923-8
   Dimri AP, 2013, INT J CLIMATOL, V33, P1917, DOI 10.1002/joc.3559
   Ehsan MA, 2023, EARTH SYST ENVIRON, V7, P617, DOI 10.1007/s41748-023-00347-z
   El Philander SGH., 1985, J ATMOS SCI, V42, P2652, DOI [10.1175/1520-0469(1985)042andlt;2652:ENALNandgt;2.0.CO;2, DOI 10.1175/1520-0469(1985)042ANDLT;2652:ENALNANDGT;2.0.CO;2]
   Gao T, 2020, CLIM DYNAM, V54, P631, DOI 10.1007/s00382-019-05022-6
   Gong DY, 2002, GEOPHYS RES LETT, V29, DOI 10.1029/2001GL014523
   GRAHAM NE, 1994, CLIM DYNAM, V10, P135, DOI 10.1007/BF00210626
   Han TT, 2017, J CLIMATE, V30, P4497, DOI [10.1175/JCLI-D-16-0551.1, 10.1175/jcli-d-16-0551.1]
   Vu-Thanh H, 2014, THEOR APPL CLIMATOL, V118, P367, DOI 10.1007/s00704-013-1073-z
   Hare SR, 2000, PROG OCEANOGR, V47, P103, DOI 10.1016/S0079-6611(00)00033-1
   Hersbach H, 2020, Q J ROY METEOR SOC, V146, P1999, DOI 10.1002/qj.3803
   IPCC, 2022, IPCC sixth assessment report-climate change 2022: Mitigation of climate change
   Jiang Q, 2021, J HYDROL, V595, DOI 10.1016/j.jhydrol.2020.125660
   Juneng L, 2005, CLIM DYNAM, V25, P337, DOI 10.1007/s00382-005-0031-6
   Kendall M. G., 1948, Rank correlation methods.
   Kim IW, 2019, CLIM DYNAM, V52, P1317, DOI 10.1007/s00382-018-4193-4
   Krishnamurthy L, 2014, CLIM DYNAM, V42, P2397, DOI 10.1007/s00382-013-1856-z
   Krishnaswamy J, 2015, CLIM DYNAM, V45, P175, DOI 10.1007/s00382-014-2288-0
   Kumar KK, 1999, SCIENCE, V284, P2156, DOI 10.1126/science.284.5423.2156
   Li W, 2011, ADV CLIM CHANG RES, V2, P101, DOI 10.3724/SP.J.1248.2011.00101
   Lu E, 2016, CLIM DYNAM, V47, P67, DOI 10.1007/s00382-015-2822-8
   Lu E, 2014, J GEOPHYS RES-ATMOS, V119, P12575, DOI 10.1002/2014JD022456
   Lu E, 2010, J HYDROMETEOROL, V11, P437, DOI 10.1175/2009JHM1150.1
   Lu S, 2021, ADV ATMOS SCI, V38, P1665, DOI 10.1007/s00376-021-0409-3
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Räsänen TA, 2016, CLIM PAST, V12, P1889, DOI 10.5194/cp-12-1889-2016
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sharma S, 2021, EARTH SYST ENVIRON, V5, P849, DOI 10.1007/s41748-021-00254-1
   Sigdel M., 2012, J. Earth Sci. Clim. Change, V3, P2
   Solomon D., 2017, Science, V5, P446, DOI [10.11648/j.sjph.20170506.16, DOI 10.11648/J.SJPH.20170506.16]
   Supari, 2018, CLIM DYNAM, V51, P2559, DOI 10.1007/s00382-017-4028-8
   Supari,, 2017, INT J CLIMATOL, V37, P1979, DOI 10.1002/joc.4829
   Syed FS, 2010, INT J CLIMATOL, V30, P220, DOI 10.1002/joc.1887
   Tamaddun KA, 2019, WATER-SUI, V11, DOI 10.3390/w11020189
   Tangang F, 2017, INT J CLIMATOL, V37, P696, DOI 10.1002/joc.5032
   Theil H., 1950, A. Math. Sci., V53, P386, DOI [DOI 10.1007/978-94-011-2546-820, 10.1007/978-94-011-2546-8, 10.1007/978-94-011-2546-8_20, 10.1007/978-94-011-2546-820]
   Trenberth KE, 2011, CLIM RES, V47, P123, DOI 10.3354/cr00953
   Ummenhofer CC, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034006
   Wahiduzzaman M, 2021, METEOROL ATMOS PHYS, V133, P55, DOI 10.1007/s00703-020-00733-6
   Wang B, 2002, J CLIMATE, V15, P386, DOI 10.1175/1520-0442(2002)015<0386:RSOTAP>2.0.CO;2
   Wang CZ, 2006, PROG OCEANOGR, V69, P239, DOI 10.1016/j.pocean.2006.03.004
   Wang HJ, 2001, ADV ATMOS SCI, V18, P376
   WILCOXON F, 1946, J ECON ENTOMOL, V39, P269, DOI 10.1093/jee/39.2.269
   Yue S, 2002, HYDROL PROCESS, V16, P1807, DOI 10.1002/hyp.1095
   Zhang RH, 1999, ADV ATMOS SCI, V16, P229, DOI 10.1007/BF02973084
   ZWIERS FW, 1995, J CLIMATE, V8, P336, DOI 10.1175/1520-0442(1995)008<0336:TSCIAI>2.0.CO;2
NR 57
TC 8
Z9 8
U1 6
U2 18
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUL 8
PY 2023
VL 13
IS 1
AR 11068
DI 10.1038/s41598-023-38317-0
PG 12
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA L9CU1
UT WOS:001026178300039
PM 37422491
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Abijith, D
   Saravanan, S
   Sundar, PKS
AF Abijith, Devanantham
   Saravanan, Subbarayan
   Sundar, Parthasarathy Kulithalai Shiyam
TI Coastal vulnerability assessment for the coast of Tamil Nadu, India-a
   geospatial approach
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE CVI; AHP; Tamil Nadu coast; Geospatial Technique; Shoreline change
ID TROPICAL CYCLONES; RISK-ASSESSMENT; EAST-COAST; GIS; TUTICORIN;
   DISTRICT; EROSION; INDEX; BAY; TM
AB A coastal region is a section of land that borders a significant body of water, often the sea or ocean. Despite their productivity, they are sensitive to even little alterations in the outside environment. This study aims to develop a spatial coastal vulnerability index (CVI) map for the Tamil Nadu coast of India, which has diverse coastal and marine environments that are ecologically fragile zones. Climate change is expected to increase the intensity and frequency of severe coastal hazards, such as rising sea levels, cyclones, storm surges, tsunamis, erosion, and accretion, severely impacting local environmental and socio-economic conditions. This research employed expert knowledge, weights, and scores from the analytical hierarchy process (AHP) to create vulnerability maps. The process includes the integration of various parameters such as geomorphology, Land use and land cover (LULC), significant wave height (SWH), rate of sea level rise (SLR), shoreline change (SLC), bathymetry, elevation, and coastal inundation. Based on the results, the very low, low, and moderate vulnerability regions comprise 17.26%, 30.77%, and 23.46%, respectively, whereas the high and very high vulnerability regions comprise 18.20% and 10.28%, respectively. The several locations tend to be high and very high due to land-use patterns and coastal structures, but very few are contributed by geomorphological features. The results are validated by conducting a field survey in a few locations along the coast. Thus, this study establishes a framework for decision-makers to implement climate change adaptation and mitigation actions in coastal zones.
C1 [Abijith, Devanantham; Saravanan, Subbarayan] Natl Inst Technol, Dept Civil Engn, Tiruchirappalli, Tamil Nadu, India.
   [Sundar, Parthasarathy Kulithalai Shiyam] Natl Inst Technol Karnataka, Dept Water Resources & Ocean Engn, Mangalore, India.
C3 National Institute of Technology (NIT System); National Institute of
   Technology Tiruchirappalli; National Institute of Technology (NIT
   System); National Institute of Technology Karnataka
RP Saravanan, S (corresponding author), Natl Inst Technol, Dept Civil Engn, Tiruchirappalli, Tamil Nadu, India.
EM abijith9007@gmail.com; ssaravanan@nitt.edu; parthas1993@gmail.com
RI Devanantham, ABIJITH/B-1389-2019; Saravanan, Subbarayan/G-6356-2019
OI Devanantham, ABIJITH/0000-0002-0253-6496; Saravanan,
   Subbarayan/0000-0003-4085-1195; K S S, Parthasarathy/0000-0003-0936-4065
CR Abijith D., 2021, DISASTER RESILIENCE, P577, DOI [10.1016/B978-0-323-85195-4.00016-0, DOI 10.1016/B978-0-323-85195-4.00016-0]
   Abijith D, 2022, ENVIRON SCI POLLUT R, V29, P86055, DOI 10.1007/s11356-021-15782-6
   Ahmed MA, 2022, INT J DISAST RISK RE, V82, DOI 10.1016/j.ijdrr.2022.103341
   Bagdanaviciute I, 2015, OCEAN COAST MANAGE, V104, P124, DOI 10.1016/j.ocecoaman.2014.12.011
   Baig MRI, 2020, ANN GIS, V26, P361, DOI 10.1080/19475683.2020.1815839
   Balaguru K, 2014, GEOPHYS RES LETT, V41, P3594, DOI 10.1002/2014GL060197
   Balasaraswathi P, 2019, MAUSAM, V70, P299
   Birkmann J, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac1f43
   Brammer H, 2014, CLIM RISK MANAG, V1, P51, DOI 10.1016/j.crm.2013.10.001
   Cha EJ, 2020, TROP CYCLONE RES REV, V9, P75, DOI 10.1016/j.tcrr.2020.04.005
   Chander G, 2009, REMOTE SENS ENVIRON, V113, P893, DOI 10.1016/j.rse.2009.01.007
   De Lange HJ, 2010, SCI TOTAL ENVIRON, V408, P3871, DOI 10.1016/j.scitotenv.2009.11.009
   dos Santos EA, 2023, INT J ENVIRON SCI TE, V20, P10713, DOI 10.1007/s13762-022-04730-7
   Dwarakish GS, 2009, OCEAN COAST MANAGE, V52, P467, DOI 10.1016/j.ocecoaman.2009.07.007
   Dwarakish GS, 2008, J APPL REMOTE SENS, V2, DOI 10.1117/1.2919101
   Gornitz V.M., 1990, J COASTAL RES, VSI 9, P201, DOI DOI 10.1007/S10661-017-6282-Y
   Hegde AV, 2007, J COASTAL RES, V23, P1106, DOI 10.2112/04-0259.1
   Hereher ME, 2015, GEOMAT NAT HAZ RISK, V6, P342, DOI 10.1080/19475705.2013.845115
   Hossain SKA, 2022, INT J DISAST RISK RE, V77, DOI 10.1016/j.ijdrr.2022.103065
   Jayakumar K, 2016, J COAST CONSERV, V20, P477, DOI 10.1007/s11852-016-0461-9
   Jayanthi M, 2018, ENVIRON MONIT ASSESS, V190, DOI 10.1007/s10661-017-6426-0
   Jeganathan A, 2021, THEOR APPL CLIMATOL, V145, P121, DOI 10.1007/s00704-021-03595-z
   Joevivek V., 2013, Journal of Earth Science and Climate Change, V4, P144, DOI [DOI 10.4172/2157-7617.1000144, 10.4172/2157-7617.1000144.]
   Koroglu A, 2019, OCEAN COAST MANAGE, V178, DOI 10.1016/j.ocecoaman.2019.05.001
   Kumar AA, 2012, NAT HAZARDS, V64, P853, DOI 10.1007/s11069-012-0276-4
   Kumar TS, 2012, J COAST CONSERV, V16, P1, DOI 10.1007/s11852-011-0162-3
   Kumar TS, 2010, J COASTAL RES, V26, P523, DOI 10.2112/09-1186.1
   Kunte PD, 2014, OCEAN COAST MANAGE, V95, P264, DOI 10.1016/j.ocecoaman.2014.04.024
   Liu JJ, 2016, IEEE J-STARS, V9, P4129, DOI 10.1109/JSTARS.2016.2587678
   Mafi-Gholami D, 2019, J ENVIRON MANAGE, V252, DOI 10.1016/j.jenvman.2019.109628
   Mahapatra M, 2015, NAT HAZARDS, V76, P139, DOI 10.1007/s11069-014-1491-y
   Mahendra RS, 2011, OCEAN COAST MANAGE, V54, P302, DOI 10.1016/j.ocecoaman.2010.12.008
   Mahmood R, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101374
   Mansour S, 2021, MAR POLICY, V129, DOI 10.1016/j.marpol.2021.104544
   Mazumdar J, 2016, NAT HAZARDS, V82, P1621, DOI 10.1007/s11069-016-2261-9
   Mujabar PS, 2013, NAT HAZARDS, V69, P1295, DOI 10.1007/s11069-011-9962-x
   Mujabar PS, 2013, ARAB J GEOSCI, V6, P647, DOI 10.1007/s12517-011-0394-4
   Mullick MRA, 2019, OCEAN COAST MANAGE, V174, P154, DOI 10.1016/j.ocecoaman.2019.03.010
   Murali RM, 2013, NAT HAZARD EARTH SYS, V13, P3291, DOI 10.5194/nhess-13-3291-2013
   Muthusankar G, 2013, NAT HAZARDS, V65, P2401, DOI 10.1007/s11069-012-0427-7
   Natesan U, 2013, ENVIRON MONIT ASSESS, V185, P5099, DOI 10.1007/s10661-012-2928-y
   Natesan Usha, 2010, Journal of Coastal Conservation, V14, P207, DOI 10.1007/s11852-010-0103-6
   Nath A, 2023, GEOJOURNAL, V88, P255, DOI 10.1007/s10708-022-10683-8
   Nayak S, 2014, INT J CLIMATOL, V34, P1460, DOI 10.1002/joc.3776
   Nijamir K, 2023, OCEAN COAST MANAGE, V232, DOI 10.1016/j.ocecoaman.2022.106425
   Parthasarathy A, 2015, NAT HAZARDS, V75, P1713, DOI 10.1007/s11069-014-1394-y
   Parthasarathy K. S. S., 2022, ISH Journal of Hydraulic Engineering, V28, P422, DOI 10.1080/09715010.2020.1753250
   Parthasarathy K. S. S., 2021, ISH Journal of Hydraulic Engineering, V27, P588, DOI 10.1080/09715010.2019.1603086
   Pendleton EA, 2004, US GEOLOGICAL SURVEY, DOI [10.3133/ofr20041196, DOI 10.3133/OFR20041196]
   Pereira GF, 2022, J GEOL SOC INDIA, V98, P1261, DOI 10.1007/s12594-022-2161-4
   Pirazzoli P.A., 1997, Oceanographic Literature Review, V8, P785
   Pramanik MK, 2016, ENVIRON DEV SUSTAIN, V18, P1635, DOI 10.1007/s10668-015-9708-0
   Priyaa SS, 2021, J EARTH SYST SCI, V130, DOI 10.1007/s12040-021-01710-2
   Pye K, 2006, J COASTAL RES, V22, P453, DOI 10.2112/05-0603.1
   Rajan SMP, 2020, HUM ECOL RISK ASSESS, V26, P1879, DOI 10.1080/10807039.2019.1602752
   Ramesh R, 2008, DATABASE COAST UNPUB
   Rani NNVS, 2015, NAT HAZARDS, V77, P405, DOI 10.1007/s11069-015-1597-x
   Rao K. Nageswara, 2008, Journal of Coastal Conservation, V12, P195, DOI 10.1007/s11852-009-0042-2
   Reddy NM, 2023, ENVIRON SCI POLLUT R, V30, P47119, DOI 10.1007/s11356-023-25649-7
   Rehman S, 2022, REG STUD MAR SCI, V55, DOI 10.1016/j.rsma.2022.102509
   Sahoo B, 2018, J ENVIRON MANAGE, V206, P1166, DOI 10.1016/j.jenvman.2017.10.075
   Sam SC, 2023, INT J ENVIRON SCI TE, V20, P7463, DOI 10.1007/s13762-022-04374-7
   Saravanan S., 2018, Journal of Rural Development (Hyderabad), V37, P325, DOI 10.25175/jrd/2018/v37/i2/129683
   Saravanan Subbarayan, 2018, MATEC Web of Conferences, V229, DOI 10.1051/matecconf/201822902022
   Saravanan S, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101503
   Saravanan S, 2022, GEOCARTO INT, V37, P15252, DOI 10.1080/10106049.2022.2096702
   Saravanan S, 2019, COASTAL ZONE MANAGEMENT: GLOBAL PERSPECTIVES, REGIONAL PROCESSES, LOCAL ISSUES, P99, DOI 10.1016/B978-0-12-814350-6.00004-5
   Selvan SC, 2016, NAT HAZARDS, V83, P293, DOI 10.1007/s11069-016-2332-y
   Sudhakar V, 2021, IJMS, V50, P36, DOI [10.56042/ijms.v50i09.66661, DOI 10.56042/IJMS.V50I09.66661]
   Sundar PKS, 2022, ENVIRON SCI POLLUT R, V29, P86220, DOI 10.1007/s11356-021-17257-0
   Thieler E.R., 2000, NATL ASSESSMENT COAS, DOI [10.3133/ofr99593, DOI 10.3133/OFR99593]
   Velsamy S, 2020, ARAB J GEOSCI, V13, DOI 10.1007/s12517-020-05800-1
NR 72
TC 5
Z9 5
U1 3
U2 18
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 JUN
PY 2023
VL 30
IS 30
BP 75610
EP 75628
DI 10.1007/s11356-023-27686-8
EA MAY 2023
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA J9BC2
UT WOS:000994508700013
PM 37225950
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Harper, SJ
   Burt, JM
   Nelson, LK
   Runnebaum, JM
   Cullen, A
   Levin, PS
   Hunter, KL
   McIsaac, J
   Ban, NC
AF Harper, Sarah J. .
   Burt, Jenn M.
   Nelson, Laura K.
   Runnebaum, Jocelyn M.
   Cullen, Alison
   Levin, Phillip S.
   Hunter, Karen L.
   McIsaac, Jim
   Ban, Natalie C.
TI Commercial fisher perceptions illuminate a need for social justice
   considerations in navigating climate change impacts on fisheries systems
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptation planning; climate change impacts on fisheries; distributive
   and procedural justice; equity and perceptions of fairness in resource
   management
ID ENVIRONMENTAL GOVERNANCE; COASTAL; CONSERVATION; ECOSYSTEM; FAIRNESS;
   EQUITY
AB Climate change will amplify stress on marine systems already challenged by conflicts and inequities relating to fisheries access, management decisions, and ocean uses across sectors. Understanding how those most connected to fisheries perceive the risks associated with climate change is critical to developing effective responses and establishing management priorities. Adaptation planning efforts may be hindered by perceptions of unequal or unfair distribution of resources and the processes in place to manage them. In contrast, adaptation planning that is more inclusive, transparent, and addresses social dimensions and perceptions of fisheries is more likely to garner support from fishers and fishing communities broadly. We elicited fisher perceptions of climate change impacts on fisheries, and responses to these impacts, through an online survey of commercial fishers in Canada's Pacific region. The survey highlights substantial concern for climate change, the impacts it will have on fishers' livelihoods and well-being, and some of the key challenges that may interfere with the ability of fishers and fisheries management to adapt. We frame the findings of the survey drawing from concepts of social justice, focusing on distributive and procedural justice, as necessary considerations, and context for climate change adaptation planning. Developing plans and processes to respond to climate change impacts on fisheries requires not only understanding ecological impacts and challenges, but also the social and institutional considerations that could help or hinder efforts to respond effectively and equitably to a changing ocean.
C1 [Harper, Sarah J. .; Ban, Natalie C.] Univ Victoria, Sch Environm Studies, Victoria, BC V8P 3E6, Canada.
   [Harper, Sarah J. .; Burt, Jenn M.] Nat United, N Vancouver, BC M5A 3X9, Canada.
   [Nelson, Laura K.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA USA.
   [Runnebaum, Jocelyn M.] Nat Conservancy Maine, Wells, ME USA.
   [Cullen, Alison] Univ Washington, Evans Sch Publ Policy & Governance, Seattle, WA USA.
   [Levin, Phillip S.] Univ Washington, Sch Marine & Environm Affairs, Seattle, WA USA.
   [Hunter, Karen L.] Pacific Biol Stn, Fisheries & Oceans Canada, Nanaimo, BC V9T 6N7, Canada.
   [McIsaac, Jim] T Buck Suzuki Fdn, Victoria, BC V8Z 0B9, Canada.
C3 University of Victoria; University of Washington; University of
   Washington Seattle; University of Washington; University of Washington
   Seattle; University of Washington; University of Washington Seattle;
   Fisheries & Oceans Canada
RP Harper, SJ (corresponding author), Univ Victoria, Sch Environm Studies, Victoria, BC V8P 3E6, Canada.; Harper, SJ (corresponding author), Nat United, N Vancouver, BC M5A 3X9, Canada.
RI Ban, Natalie/C-6938-2009; McIsaac, Jim/JXM-0074-2024; Hunter,
   Karen/KUD-3327-2024; Nelson, Laura/HGT-9729-2022
OI Ban, Natalie/0000-0002-4682-2144
FU Lenfest Foundation; Mitacs Accelerate Grant; NSERC
FX We are grateful for the grant from the Lenfest Foundation to PSL and AC,
   which supported the development of the survey that was adapted for this
   study and its implementation by LN. SH was supported through a Mitacs
   Accelerate Grant and NCB was supported by NSERC. The authors would like
   to thank John Driscoll and numerous others for their insights and
   feedback provided at various stages of this project.
CR Adger WN, 2016, ANN AM ASSOC GEOGR, V106, P1079
   [Anonymous], 2015, Canada's residential schools: Reconciliation, V6, DOI DOI 10.2307/J.CTT19QGHCK
   [Anonymous], 2020, Nvivo
   Archibald DW, 2021, MAR POLICY, V132, DOI 10.1016/j.marpol.2021.104690
   Baker D, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.673045
   Ballew MT, 2019, ENVIRONMENT, V61, P4
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Bell RJ, 2020, MAR COAST FISH, V12, P166, DOI 10.1002/mcf2.10112
   Bennett N., 2020, FISHING FUTURE UNDER
   Bennett NJ, 2023, MAR POLICY, V147, DOI 10.1016/j.marpol.2022.105383
   Bennett NJ, 2021, MAR POLICY, V130, DOI 10.1016/j.marpol.2021.104581
   Bennett NJ, 2021, FISH RES, V239, DOI 10.1016/j.fishres.2021.105934
   Bennett NJ, 2020, BIOL CONSERV, V244, DOI 10.1016/j.biocon.2020.108531
   Bennett NJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11143881
   Breslow SJ, 2017, ECOSYST HEALTH SUST, V3, DOI 10.1080/20964129.2017.1411767
   Brooks M. J. A., FUTURE OCEAN GOVERNA, DOI [10.1163/9789004380271_007, DOI 10.1163/9789004380271_007]
   Brown B., 2021, COASTAL 1 NATIONS SI
   Brugere C., 2020, ADDRESSING FISHERIES
   Canadian Council of Professional Fish Harvesters, 2018, FISH SEAS ALL LAB SK
   Canadian Parks and Wilderness Society (CPAWS), 2015, SEEK CONV P MPAS FIS
   Carothers C, 2011, HUM ORGAN, V70, P213, DOI 10.17730/humo.70.3.d686u2r7j2267055
   Carr MH, 2017, AQUAT CONSERV, V27, P6, DOI 10.1002/aqc.2800
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Charles A., 2018, MEANINGFUL PARTNERSH, P28
   Cheung WWL, 2015, PROG OCEANOGR, V130, P19, DOI 10.1016/j.pocean.2014.09.003
   Cinner JE, 2019, ONE EARTH, V1, P51, DOI 10.1016/j.oneear.2019.08.003
   Cinner JE, 2011, GLOBAL ENVIRON CHANG, V21, P7, DOI 10.1016/j.gloenvcha.2010.09.001
   Connors BM, 2012, CONSERV LETT, V5, P304, DOI 10.1111/j.1755-263X.2012.00244.x
   Council of the Haida Nation and Government of Canada, 2018, GWAII HAANAS GINAWAA
   Cullen AC, 2018, RISK ANAL, V38, P1361, DOI 10.1111/risa.12976
   Cullen AC, 2017, RISK ANAL, V37, P531, DOI 10.1111/risa.12631
   Daly J, 2021, MAR POLICY, V131, DOI 10.1016/j.marpol.2021.104623
   DFO (Fisheries and Oceans Canada), 2014, CAN BRIT COL MAR PRO
   Dieckmann NF, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2020491118
   Donkersloot R, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2020.103966
   English PA, 2022, FISH FISH, V23, P239, DOI 10.1111/faf.12613
   Fawcett -Atkinson M., 2021, NATL OBSERVER   1004
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fogarty H. E., 2021, Adaptive Management of Fisheries in Response to Climate Change: FAO Fisheries and Aquaculture Technical Paper No. 667, P245, DOI DOI 10.4060/CB3095-N
   Foley P, 2020, ECOL SOC, V25, DOI 10.5751/ES-11509-250201
   Friedman RS, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabcde
   Galappaththi EK, 2022, FISH FISH, V23, P4, DOI 10.1111/faf.12595
   Government of Canada, 2021, FISH RES REC AGR FRR
   Government of Canada, 2021, GEND BAS AN PLUS GBA
   Government of Canada, 2021, MIN JORD ANN LONGT C
   Government of Canada, 2022, FUT SALM AQ BRIT COL
   Grant S.C. H., 2019, CAN TECH REP FISH AQ, P3332
   Grothmann T., 2013, Natural Hazards and Earth System Sciences, V13, P3369, DOI 10.5194/nhess-13-3369-2013
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Gurney GG, 2021, ENVIRON SCI POLICY, V124, P23, DOI 10.1016/j.envsci.2021.05.022
   Harper S., 2022, FISHING SOLUTIONS HA
   Hofmann G. E., 2021, CLIMATE RESILIENCE C
   Jardine SL, 2020, ECOL ECON, V176, DOI 10.1016/j.ecolecon.2020.106691
   Kearney J, 2007, COAST MANAGE, V35, P79, DOI 10.1080/08920750600970511
   Klinsky S, 2017, GLOBAL ENVIRON CHANG, V44, P170, DOI 10.1016/j.gloenvcha.2016.08.002
   Lam VWY, 2016, SCI REP-UK, V6, DOI 10.1038/srep32607
   Levin PS, 2021, BIOSCIENCE, V71, P64, DOI 10.1093/biosci/biaa117
   Lomonico S, 2021, MAR POLICY, V123, DOI 10.1016/j.marpol.2020.104252
   Lynham J, 2017, MAR POLICY, V76, P122, DOI 10.1016/j.marpol.2016.11.011
   Martin A, 2014, GEOFORUM, V54, P167, DOI 10.1016/j.geoforum.2013.02.006
   McDermott M, 2013, ENVIRON SCI POLICY, V33, P416, DOI 10.1016/j.envsci.2012.10.006
   McGee G, 2022, MAR POLICY, V142, DOI 10.1016/j.marpol.2021.104613
   McGregor D., 2019, Policy Transformation in Canada: Is the Past Prologue?, P139, DOI [10.3138/9781487519865-017, DOI 10.3138/9781487519865-017]
   Mclean EL, 2022, HUM ECOL, V50, P227, DOI 10.1007/s10745-022-00308-6
   Mendenhall E, 2020, MAR POLICY, V117, DOI 10.1016/j.marpol.2020.103954
   Micheli F, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040832
   Naish KA, 2008, ADV MAR BIOL, V53, P61, DOI 10.1016/S0065-2881(07)53002-6
   Nakashima DJ., 2012, WEARING UNCERTAIN
   National Marine Fisheries Service, 2016, 20 YEAR REV PAC HAL
   Native Women's Association of Canada, 2020, IND WOM VOIC MAR SAF
   Neis B, 2013, ECOL SOC, V18, DOI 10.5751/ES-06010-180464
   Nelson L. K., 2023, PLOS CLIMATE, V2, DOI DOI 10.1371/JOURNAL.PCLM.0000103
   Nordgren L, 2021, HUMAN ELEMENT OVERCO
   Ohlberger J, 2022, GLOBAL CHANGE BIOL, V28, P2026, DOI 10.1111/gcb.16049
   Ordoñez-Gauger L, 2018, OCEAN COAST MANAGE, V158, P144, DOI 10.1016/j.ocecoaman.2018.03.034
   Paavola J, 2007, ECOL ECON, V63, P93, DOI 10.1016/j.ecolecon.2006.09.026
   Parlee CE, 2021, MAR POLICY, V134, DOI 10.1016/j.marpol.2021.104764
   Parlee CE, 2018, ECOL SOC, V23, DOI [10.5751/es-10334-230405, 10.5751/ES-10334-230405]
   Pershing AJ, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2020.00076
   Pinsky ML, 2012, CLIMATIC CHANGE, V115, P883, DOI 10.1007/s10584-012-0599-x
   Poloczanska ES, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00062
   Pournelle G. H., 1953, Journal of Mammalogy, V34, P133
   Prilleltensky I, 2012, AM J COMMUN PSYCHOL, V49, P1, DOI 10.1007/s10464-011-9448-8
   Puley M, 2022, FISH FISH, V23, P719, DOI 10.1111/faf.12645
   Quimby B, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093324
   Ripley A., 2021, High conflict. Why we get trapped and how we get out, VFirst
   Runnebaum JM, 2019, FISHERIES, V44, P164, DOI 10.1002/fsh.10214
   Salas R. N., 2021, BMJ-BRIT MED J, V374, P19
   Schlosberg D, 2013, ENVIRON POLIT, V22, P37, DOI 10.1080/09644016.2013.755387
   Schlosberg David., 2007, DEFINING ENV JUSTICE
   Schumann S, 2018, COMMER FISH REV
   Slovic P., 1997, ENVIRON MED, V59, P645
   Smith KE, 2021, SCIENCE, V374, P419, DOI 10.1126/science.abj3593
   Standing Committee on Fisheries and Oceans, 2021, PAC SALM ENS LONG TE
   Standing Committee on Fisheries and Oceans, 2019, W COAST FISH SHAR RI
   Stephenson RL, 2019, CAN J FISH AQUAT SCI, V76, P480, DOI 10.1139/cjfas-2017-0345
   Sultana F, 2022, GEOGR J, V188, P118, DOI 10.1111/geoj.12417
   Szymkowiak M, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.617054
   Szymkowiak M, 2020, OCEAN COAST MANAGE, V197, DOI 10.1016/j.ocecoaman.2020.105321
   Talloni-Alvarez NE, 2019, MAR POLICY, V104, P163, DOI 10.1016/j.marpol.2019.02.035
   The Nature Conservancy, 2021, RIGHT SHIP REST LOC
   Turner RA, 2016, ECOL SOC, V21, DOI 10.5751/ES-08542-210318
   United Fishermen & Allied Worker's Union (UFAWU-Unifor), 2021, FUT BC COMM SALM FIS
   Whitney CK, 2020, ECOL SOC, V25, DOI 10.5751/ES-12027-250433
   Whitney CK, 2020, FACETS, V5, P704, DOI 10.1139/facets-2019-0027
   Whitney CK, 2019, OCEAN COAST MANAGE, V179, DOI 10.1016/j.ocecoaman.2019.05.010
   Whitney CK, 2017, ECOL SOC, V22, DOI 10.5751/ES-09325-220222
   Wilson JR, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12452
   Zhai P., 2021, CLIMATE CHANGE 2021, P433
NR 109
TC 4
Z9 4
U1 4
U2 12
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.
PD MAY
PY 2023
VL 28
IS 2
AR 21
DI 10.5751/ES-14142-280221
PG 34
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA I0HF2
UT WOS:000999664300003
OA gold
DA 2025-01-10
ER

PT J
AU Areia, NP
   Tavares, AO
   Costa, PJM
AF Areia, Neide P.
   Tavares, Alexandre O.
   Costa, Pedro J. M.
TI Public perception and preferences for coastal risk management: Evidence
   from a convergent parallel mixed-methods study
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Coastal management; Public understanding; Social engagement;
   Participatory risk governance
ID CLIMATE-CHANGE ADAPTATION; FELT RESPONSIBILITY; TOP-DOWN; PARTICIPATION;
   ENGAGEMENT; STRATEGY; LESSONS; COMMUNITIES; RESILIENCE; PRIORITIES
AB Coastal ecosystems are exposed to unprecedented levels of human pressure and to the cumulative effects of climate change. Altogether, these threats have been exposing coastal areas to augmented hazardous processes, leaving commu-nities highly vulnerable to coastal risks and challenging the coastal management paradigm. Disregarding public per-ceptions of coastal risk management may be myopic and, thus, an obstacle to the success of the efforts towards coastal risks' mitigation and adaptation. Therefore, this study aims at comprehensively ascertain public perception and preferences for coastal risk management, through a mixed-methods approach. The quantitative study accounted for 3028 participants that enrolled in the population-based survey. The qualitative study accounted for 320 partici-pants that responded to the e-interview. Data were analysed independently and triangulated for further interpretation. Evidence from this study suggests that citizens prioritize the intrinsic value of coastal systems, when favouring a risk adaptation strategy. Therefore, ecosystem-based adaptation measures were highlighted, in detriment of grey infra-structure. Additionally, and due to the reported high levels of public authorities' distrust, the public seems to urge for a transition from a technocratic to a participatory coastal management, in which public's preferences are legiti-mized. Consequently, and in order to decentralize coastal governance, citizens demonstrated a proactive disposition to actively engage in coastal management. Findings from this study were discussed in order to provide guidance to the development of tailored coastal management initiatives and policy tools, which are expected to be effective at enhancing coastal communities' resilience to hazardous processes and augmenting citizens' engagement in coastal management.
C1 [Areia, Neide P.; Tavares, Alexandre O.] Univ Coimbra, Ctr Social Studies, Colegio S Jeronimo, Apartado 3087, P-3000995 Coimbra, Portugal.
   [Tavares, Alexandre O.; Costa, Pedro J. M.] Univ Coimbra, Fac Sci & Technol, Dept Earth Sci, Rua Silvio Lima,Polo 2, P-3030790 Coimbra, Portugal.
   [Costa, Pedro J. M.] Univ Lisbon, Fac Sci, Inst Dom Luiz, Campo Grande Edificio C1,Piso 1, P-1749016 Lisbon, Portugal.
C3 Universidade de Coimbra; Universidade de Coimbra; Universidade de Lisboa
RP Areia, NP (corresponding author), Univ Coimbra, Ctr Social Studies, Colegio S Jeronimo, Apartado 3087, P-3000995 Coimbra, Portugal.
EM neideareia@ces.uc.pt; atavares@ci.uc.pt; ppcosta@dct.uc.pt
RI Areia, Neide/JNS-3862-2023; Costa, Pedro/I-1216-2012; Tavares,
   Alexandre/M-4168-2014
OI Costa, Pedro/0000-0001-6573-0539; Tavares, Alexandre/0000-0003-1621-6183
FU Portuguese Foundation for Science and Technology
   [2020.01127.CEECIND/CP1627/CT0003]
FX This research is part of the research project "Overcoming the society's
   climate change awareness-action gap through the implementation of an
   empirical-based intervention program in communities with high
   environmental vulnerability.", funded by the Portuguese Foundation for
   Science and Technology (2020.01127.CEECIND/CP1627/CT0003).
CR Alexander KS, 2012, J ENVIRON PLANN MAN, V55, P409, DOI 10.1080/09640568.2011.604193
   Alves FL, 2013, REG ENVIRON CHANGE, V13, P1031, DOI 10.1007/s10113-012-0398-y
   Ambrose-Oji B, 2020, SMALL-SCALE FOR, V19, P159, DOI 10.1007/s11842-020-09440-x
   [Anonymous], 2010, Am Psychol, V65, P493, DOI 10.1037/a0020168
   Anton CE, 2014, J ENVIRON PSYCHOL, V40, P451, DOI 10.1016/j.jenvp.2014.10.007
   do Carmo JSA, 2019, SCI TOTAL ENVIRON, V695, DOI 10.1016/j.scitotenv.2019.133807
   do Carmo JSA, 2018, J COASTAL RES, V34, P687, DOI 10.2112/JCOASTRES-D-16-00165.1
   Areia NP, 2022, ENVIRON SCI POLICY, V133, P107, DOI 10.1016/j.envsci.2022.03.011
   Areia NP, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18115949
   Areia NP, 2019, SCI TOTAL ENVIRON, V682, P291, DOI 10.1016/j.scitotenv.2019.05.191
   Ballinger R, 2010, OCEAN COAST MANAGE, V53, P738, DOI 10.1016/j.ocecoaman.2010.10.013
   Baptista P, 2014, COAST ENG, V84, P23, DOI 10.1016/j.coastaleng.2013.11.002
   Barros JL, 2022, COAST MANAGE, V50, P442, DOI 10.1080/08920753.2022.2107858
   Bateman TS, 2016, GLOBAL ENVIRON CHANG, V41, P206, DOI 10.1016/j.gloenvcha.2016.11.001
   Baudoin MA, 2016, INT J DISAST RISK SC, V7, P163, DOI 10.1007/s13753-016-0085-6
   Becu N, 2017, ENVIRON MODELL SOFTW, V98, P1, DOI 10.1016/j.envsoft.2017.09.003
   Bekessy SA, 2018, BIOL CONSERV, V224, P71, DOI 10.1016/j.biocon.2018.05.017
   Borsje BW, 2011, ECOL ENG, V37, P113, DOI 10.1016/j.ecoleng.2010.11.027
   Bowler S, 2007, POLIT RES QUART, V60, P351, DOI 10.1177/1065912907304108
   Bradley GL, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101410
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Brügger A, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0124843
   Bukvic A, 2022, APPL GEOGR, V146, DOI 10.1016/j.apgeog.2022.102758
   Butler JRA, 2015, COAST MANAGE, V43, P346, DOI 10.1080/08920753.2015.1046802
   Caferra R, 2021, ENERGY RES SOC SCI, V71, DOI 10.1016/j.erss.2020.101812
   Carmo José Simão Antunes do, 2013, RGCI, V13, P317, DOI 10.5894/rgci394
   Casey A, 2019, COAST MANAGE, V47, P169, DOI 10.1080/08920753.2019.1564952
   Christie M, 2019, SUSTAIN SCI, V14, P1267, DOI 10.1007/s11625-019-00716-6
   Christmann S, 2015, SOC NATUR RESOUR, V28, P280, DOI 10.1080/08941920.2014.933927
   Cohen T, 2019, TRANSPORT MATTERS, P251
   Creswell JW., 2017, DESIGNING CONDUCTING
   Day JC, 2017, COAST MANAGE, V45, P470, DOI 10.1080/08920753.2017.1373452
   de Jonge VN, 2012, OCEAN COAST MANAGE, V68, P169, DOI 10.1016/j.ocecoaman.2012.05.017
   Domingues RB, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102288
   Echevarría Luciana, 2013, RGCI, V13, P445, DOI 10.5894/rgci402
   Edmonds W., 2017, APPL GUIDE RES DESIG, P181, DOI DOI 10.4135/9781071802779
   Elrick-Barr CE, 2022, ENVIRON SCI POLICY, V127, P218, DOI 10.1016/j.envsci.2021.10.031
   Ensor J, 2015, WIRES CLIM CHANGE, V6, P509, DOI 10.1002/wcc.348
   Evans AJ, 2017, MAR POLICY, V75, P143, DOI 10.1016/j.marpol.2016.10.006
   Fairbrother M., 2022, PLOS Clim, V1, pe0000030, DOI [10.1371/journal.pclm.0000030, DOI 10.1371/JOURNAL.PCLM.0000030]
   Fairbrother M, 2017, SOCIOL COMPASS, V11, DOI 10.1111/soc4.12482
   Ferreira AM, 2021, NAT HAZARDS, V105, P1069, DOI 10.1007/s11069-020-04349-2
   Ferreira O, 2006, CONT SHELF RES, V26, P1030, DOI 10.1016/j.csr.2005.12.016
   Fitton J.M., 2021, CHALLENGES CLIMATE C
   Fuller JB, 2006, J ORGAN BEHAV, V27, P1089, DOI 10.1002/job.408
   Gelcich S, 2014, P NATL ACAD SCI USA, V111, P15042, DOI 10.1073/pnas.1417344111
   Gibbs MT, 2016, OCEAN COAST MANAGE, V130, P107, DOI 10.1016/j.ocecoaman.2016.06.002
   Gifford R, 2011, AM PSYCHOL, V66, P290, DOI 10.1037/a0023566
   Gilmour P., 2015, Aust. J. Marit. Ocean Aff, V7, P66, DOI DOI 10.1080/18366503.2015.1014013
   Guest G., 2014, PUBLIC HLTH RES METH, P581
   He Q, 2019, CURR BIOL, V29, pR1021, DOI 10.1016/j.cub.2019.08.042
   Hung HC, 2019, J RISK RES, V22, P1205, DOI 10.1080/13669877.2018.1454496
   Innes J. E., 2004, Planning Theory & Practice, V5, P419, DOI DOI 10.1080/1464935042000293170
   Ison R., 2017, SYSTEMS PRACTICE ACT, V2nd
   Janmaimool P, 2020, ENVIRON DEV SUSTAIN, V22, P957, DOI 10.1007/s10668-018-0228-6
   Jefferson R, 2015, OCEAN COAST MANAGE, V115, P61, DOI 10.1016/j.ocecoaman.2015.06.014
   Jones N, 2014, CLIMATIC CHANGE, V123, P133, DOI 10.1007/s10584-013-1049-0
   Josephs LI, 2018, J ENVIRON MANAGE, V212, P32, DOI 10.1016/j.jenvman.2018.01.085
   King D, 2014, INT J DISAST RISK RE, V8, P83, DOI 10.1016/j.ijdrr.2014.02.006
   Krishnamurthy PK, 2012, ENVIRON HAZARDS-UK, V11, P96, DOI 10.1080/17477891.2011.609879
   Lira CP, 2016, EARTH SYST SCI DATA, V8, P265, DOI 10.5194/essd-8-265-2016
   Liski AH, 2019, REG ENVIRON CHANGE, V19, P2231, DOI 10.1007/s10113-019-01505-8
   Liu PH, 2020, SCI TOTAL ENVIRON, V728, DOI 10.1016/j.scitotenv.2020.138126
   Mallette A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158594
   Marinho B, 2019, OCEAN COAST MANAGE, V181, DOI 10.1016/j.ocecoaman.2019.104874
   MAYER RC, 1995, ACAD MANAGE REV, V20, P709, DOI 10.2307/258792
   McKinley E, 2021, OCEAN COAST MANAGE, V208, DOI 10.1016/j.ocecoaman.2021.105629
   McKinley E., 2021, SSRN ELECT J, DOI [10.2139/ssrn.3956820, DOI 10.2139/SSRN.3956820]
   McKinley E, 2022, ISCIENCE, V25, DOI 10.1016/j.isci.2022.104735
   McKinley E, 2020, ENVIRON SCI POLICY, V108, P85, DOI 10.1016/j.envsci.2020.03.015
   Miller S, 2011, LIBR ETHICS APPL PHI, V27, P219, DOI 10.1007/978-94-007-1878-4_13
   Nash K.L., 2020, OCEANS SOC FEEDBACKS
   Neblo MA, 2010, AM POLIT SCI REV, V104, P566, DOI 10.1017/S0003055410000298
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Newton A., 2020, FRONT ECOL EVOL
   Pinto C A., 2018, Alimentacao artificial de praias na faixa costeira de Portugal Continental: enquadramento e retrospetiva das intervencoes realizadas (1950-2017)
   Pinto CA, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10020146
   Pinto CA, 2020, OCEAN COAST MANAGE, V192, DOI 10.1016/j.ocecoaman.2020.105211
   Pollard JA, 2019, PROG PHYS GEOG, V43, P574, DOI 10.1177/0309133318794498
   Punzo G, 2019, ENVIRON SCI POLICY, V101, P311, DOI 10.1016/j.envsci.2019.09.006
   Quinn T, 2019, SUSTAIN SCI, V14, P565, DOI 10.1007/s11625-019-00665-0
   Rangel-Buitrago N, 2018, OCEAN COAST MANAGE, V156, P58, DOI 10.1016/j.ocecoaman.2017.04.006
   Reese G, 2015, ENVIRON SCI POLICY, V51, P88, DOI 10.1016/j.envsci.2015.03.011
   Refulio-Coronado S, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.648006
   Robbins BG, 2016, SOCIOL COMPASS, V10, P972, DOI 10.1111/soc4.12391
   Ruz MH, 2020, J COASTAL RES, P875, DOI 10.2112/SI95-170.1
   Salmons J., 2014, Qualitative online interviews: Strategies, designs, and skills, V2nd
   Santos LIV, 2013, PROCD SOC BEHV, V83, P83, DOI 10.1016/j.sbspro.2013.06.016
   Schiek D., 2022, FORUM QUAL SOZIALFOR, V23, DOI [10.17169/fqs-23.1.3754, DOI 10.17169/FQS-23.1.3754]
   Schneider P, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4030065
   Schumacher J, 2018, MAR POLICY, V94, P150, DOI 10.1016/j.marpol.2018.05.017
   Soma K, 2015, OCEAN COAST MANAGE, V117, P61, DOI 10.1016/j.ocecoaman.2015.11.001
   Stacey N, 2015, OCEAN COAST MANAGE, V114, P151, DOI 10.1016/j.ocecoaman.2015.06.007
   Susskind L, 2022, CLIM POLICY, V22, P593, DOI 10.1080/14693062.2021.1874860
   Sutton-Grier AE, 2015, ENVIRON SCI POLICY, V51, P137, DOI 10.1016/j.envsci.2015.04.006
   Tavares AO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208300
   Thaker J, 2019, ENVIRON COMMUN, V13, P681, DOI 10.1080/17524032.2018.1438302
   Tobey J, 2010, COAST MANAGE, V38, P317, DOI 10.1080/08920753.2010.483169
   Toimil A, 2020, COAST ENG, V156, DOI 10.1016/j.coastaleng.2019.103611
   Tong A, 2007, INT J QUAL HEALTH C, V19, P349, DOI 10.1093/intqhc/mzm042
   Tsang S., 2009, Environmental Policy and Governance Env. Pol. Gov, V19, P99
   Uddin MS, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110457
   Ung M, 2016, CLIMATE, V4, DOI 10.3390/cli4010001
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Vieira BFV, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8030175
   Webler T, 2006, POLICY STUD J, V34, P699, DOI 10.1111/j.1541-0072.2006.00198.x
   Wever L, 2012, OCEAN COAST MANAGE, V66, P63, DOI 10.1016/j.ocecoaman.2012.05.001
   Weymouth R., 2019, Sustainable Earth, V2, P5, DOI [10.1186/s42055-019-0012-y, DOI 10.1186/S42055-019-0012-Y]
   Weymouth R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177055
   Yuriev A, 2020, RESOUR CONSERV RECY, V155, DOI 10.1016/j.resconrec.2019.104660
NR 110
TC 7
Z9 8
U1 6
U2 18
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 15
PY 2023
VL 882
AR 163440
DI 10.1016/j.scitotenv.2023.163440
EA APR 2023
PG 12
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA G0HP4
UT WOS:000986069700001
PM 37080312
OA hybrid
DA 2025-01-10
ER

PT J
AU Brilli, L
   Martin, R
   Argenti, G
   Bassignana, M
   Bindi, M
   Bonet, R
   Choler, P
   Cremonese, E
   Della Vedova, M
   Dibari, C
   Filippa, G
   Galvagno, M
   Leolini, L
   Moriondo, M
   Piccot, A
   Stendardi, L
   Targetti, S
   Bellocchi, G
AF Brilli, L.
   Martin, R.
   Argenti, G.
   Bassignana, M.
   Bindi, M.
   Bonet, R.
   Choler, P.
   Cremonese, E.
   Della Vedova, M.
   Dibari, C.
   Filippa, G.
   Galvagno, M.
   Leolini, L.
   Moriondo, M.
   Piccot, A.
   Stendardi, L.
   Targetti, S.
   Bellocchi, G.
TI Uncertainties in the adaptation of alpine pastures to climate change
   based on remote sensing products and modelling
SO JOURNAL OF ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Alpine pastures; Climate-change adaptation; Modelling; Remote sensing
ID SIMULATION-MODEL; VEGETATION STRUCTURE; EUROPEAN GRASSLANDS;
   GROWING-SEASON; CARBON; IMPACT; SENSITIVITY; DIVERSITY; WATER;
   CALIBRATION
AB Over the last century, the management of pastoral systems has undergone major changes to meet the livelihood needs of alpine communities. Faced with the changes induced by recent global warming, the ecological status of many pastoral systems has seriously deteriorated in the western alpine region. We assessed changes in pasture dynamics by integrating information from remote-sensing products and two process-based models, i.e. the grassland-specific, biogeochemical growth model PaSim and the generic crop-growth model DayCent. Meteo-rological observations and satellite-derived Normalised Difference Vegetation Index (NDVI) trajectories of three pasture macro-types (high, medium and low productivity classes) in two study areas -Parc National des ' Ecrins (PNE) in France and Parco Nazionale Gran Paradiso (PNGP) in Italy -were used as a basis for the model cali-bration work. The performance of the models was satisfactory in reproducing pasture production dynamics (R2 = 0.52 to 0.83). Projected changes in alpine pastures due to climate-change impacts and adaptation strategies indicate that: i) the length of the growing season is expected to increase between 15 and 40 days, resulting in changes in the timing and amount of biomass production, ii) summer water stress could limit pasture produc-tivity; iii) earlier onset of grazing could enhance pasture productivity; iv) higher livestock densities could in-crease the rate of biomass regrowth, but major uncertainties in modelling processes need to be considered; and v) the carbon sequestration potential of pastures could decrease under limited water availability and warming.
C1 [Brilli, L.] Natl Res Council Inst BioEcon IBE CNR, I-50145 Sesto Fiorentino, Italy.
   [Brilli, L.; Argenti, G.; Bindi, M.; Dibari, C.; Leolini, L.; Stendardi, L.] Univ Florence, DAGRI, I-50144 Florence, Italy.
   [Martin, R.; Bellocchi, G.] Univ Clermont Auvergne, INRAE, VetAgro Sup, UREP, F-63000 Clermont Ferrand, France.
   [Bassignana, M.; Piccot, A.] Inst Agr Reg, I-11100 Aosta, Italy.
   [Della Vedova, M.] Parc Natl Ecrins, Domaine Charance, F-05000 Gap, France.
   [Choler, P.] Univ Grenoble Alpes, Univ Savoie Mt Blanc, CNRS, LECA, F-38000 Grenoble, France.
   [Galvagno, M.] Environm Protect Agcy Aosta Valley, Climate Change Unit, St Christophe, Italy.
   [Targetti, S.] Univ Bologna, Dept Agr & Food Sci, Viale Fanin 50, I-40127 Bologna, Italy.
C3 University of Florence; VetAgro Sup; Universite Clermont Auvergne (UCA);
   INRAE; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes
   (UGA); Centre National de la Recherche Scientifique (CNRS); Universite
   Savoie Mont Blanc; Regional Environmental Protection Agency - Italy;
   University of Bologna
RP Brilli, L (corresponding author), Natl Res Council Inst BioEcon IBE CNR, I-50145 Sesto Fiorentino, Italy.
EM lorenzo.brilli@ibe.cnr.it
RI Choler, Philippe/A-7270-2008; Moriondo, Marco/H-5279-2019; Targetti,
   Stefano/JJF-5543-2023; bindi, marco/M-6415-2014
OI Targetti, Stefano/0000-0002-2154-546X; Cremonese,
   Edoardo/0000-0002-6708-8532; bindi, marco/0000-0002-8968-954X; Dibari,
   Camilla/0000-0001-5130-124X; Martin, Raphael/0000-0001-8778-7915;
   Bassignana, Mauro/0000-0001-6764-2110
FU EC LIFE programme for the Environment and Climate Action (2014-2020)
   [LIFE16/CCA/IT/000060]; French government IDEX-ISITE initiative
   [16-IDEX-0001]; European Union - PON Research and Innovation 2014-2020
FX The present work was produced under the co-finance of the EC LIFE
   programme for the Environment and Climate Action (2014-2020) in the
   framework of the Project LIFE PASTORALP 'Pastures vulnerability and
   adaptation strategies to climate change impacts in the Alps'
   (LIFE16/CCA/IT/000060). It falls within the thematic area of the French
   government IDEX-ISITE initiative (reference: 16-IDEX-0001; project CAP
   20-25). The authors wish to acknowledge the commitment of Dehia
   Hadjsaadi (Universite Clermont Auvergne, INRAE, VetAgro Sup, UREP,
   Clermont-Ferrand, France), who supported PaSim simulations in 2020-2021.
   The research contract of the author Luisa Leolini was co-funded by the
   European Union - PON Research and Innovation 2014-2020 in accordance
   with Article 24, paragraph 3a), of Law No. 240 of December 30, 2010, as
   amended, and Ministerial Decree No. 1062 of August 10, 2021.
CR Abdalla M, 2010, ATMOS ENVIRON, V44, P2961, DOI 10.1016/j.atmosenv.2010.05.018
   Albanito F, 2022, ENVIRON SCI TECHNOL, V56, P13485, DOI 10.1021/acs.est.2c02023
   Alessa L, 2018, FRONT ECOL ENVIRON, V16, pS4, DOI 10.1002/fee.1753
   Altaweel M., 2015, SUSTAINABILITY SCI P, V11, P1, DOI 10.1080/15487733.2015.11908142
   Barichivich J, 2013, GLOBAL CHANGE BIOL, V19, P3167, DOI 10.1111/gcb.12283
   Bellocchi G, 2015, AGRON SUSTAIN DEV, V35, P589, DOI 10.1007/s13593-014-0271-0
   Bellocchi G, 2010, AGRON SUSTAIN DEV, V30, P109, DOI 10.1051/agro/2009001
   Ben Touhami H, 2015, ECOL INFORM, V30, P356, DOI 10.1016/j.ecoinf.2015.09.009
   Ben Touhami H, 2013, ECOL MODEL, V266, P42, DOI 10.1016/j.ecolmodel.2013.07.005
   Bengtsson J, 2019, ECOSPHERE, V10, DOI 10.1002/ecs2.2582
   Bonet R, 2016, ECO MONT, V8, P44, DOI 10.1553/eco.mont-8-1s44
   Bornard A., 2007, VEGETATIONS DALPAGE
   Brien P., 2018, ANAL EVOLUTION UTILI
   Brilli L, 2017, SCI TOTAL ENVIRON, V598, P445, DOI 10.1016/j.scitotenv.2017.03.208
   Caballero R., 2009, Pastos, V39, P9
   Calanca P, 2007, AGR ECOSYST ENVIRON, V121, P164, DOI 10.1016/j.agee.2006.12.010
   Calanca P, 2007, GLOBAL PLANET CHANGE, V57, P151, DOI 10.1016/j.gloplacha.2006.11.001
   Cao W, 2022, ATMOSPHERE-BASEL, V13, DOI 10.3390/atmos13111768
   Cavallero A., 2007, TIPI PASTORALI ALPI, pXII
   Cavalli D, 2019, EUR J SOIL SCI, V70, P833, DOI 10.1111/ejss.12793
   Ceschia E, 2010, AGR ECOSYST ENVIRON, V139, P363, DOI 10.1016/j.agee.2010.09.020
   Chen XN, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6d39
   Corona-Lozada MC, 2019, AGR FOREST METEOROL, V276, DOI 10.1016/j.agrformet.2019.107617
   Damian M, 2021, CATENA, V202, DOI 10.1016/j.catena.2021.105238
   Della-Vedova M., 2012, ASSEMBLEE GENERALE C
   Dibari C, 2016, GRASS FORAGE SCI, V71, P219, DOI 10.1111/gfs.12168
   Dibari C, 2021, ITAL J AGRON, V16, DOI 10.4081/ija.2021.1843
   Dibari C, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10070926
   Dietze MC, 2018, P NATL ACAD SCI USA, V115, P1424, DOI 10.1073/pnas.1710231115
   Dobremez L., 2014, REV GEOGR ALP, DOI [10.4000/rga.2455, DOI 10.4000/RGA.2455]
   Dumont B, 2009, GRASS FORAGE SCI, V64, P92, DOI 10.1111/j.1365-2494.2008.00674.x
   EC, 2013, REGULATION EC NO 130
   Engler R, 2011, GLOBAL CHANGE BIOL, V17, P2330, DOI 10.1111/j.1365-2486.2010.02393.x
   Ernakovich JG, 2014, GLOBAL CHANGE BIOL, V20, P3256, DOI 10.1111/gcb.12568
   European Commission, 2008, Off. J. Eur. Union, V164
   Fantini A, 2018, CLIM DYNAM, V51, P877, DOI 10.1007/s00382-016-3453-4
   Felber R, 2016, BIOGEOSCIENCES, V13, P2959, DOI 10.5194/bg-13-2959-2016
   Filippa G., 2022, INT J APPL EARTH OBS
   Filippa G, 2015, INT J BIOMETEOROL, V59, P1927, DOI 10.1007/s00484-015-0999-5
   Fitton N, 2014, NUTR CYCL AGROECOSYS, V99, P119, DOI 10.1007/s10705-014-9622-0
   Fitton N, 2019, EUR J AGRON, V106, P58, DOI 10.1016/j.eja.2019.03.008
   Fuchs K, 2020, GLOBAL BIOGEOCHEM CY, V34, DOI 10.1029/2020GB006561
   Fuchs K, 2020, J GEOPHYS RES-BIOGEO, V125, DOI 10.1029/2019JG005261
   Gobiet A, 2014, SCI TOTAL ENVIRON, V493, P1138, DOI 10.1016/j.scitotenv.2013.07.050
   Gottfried M, 2012, NAT CLIM CHANGE, V2, P111, DOI [10.1038/nclimate1329, 10.1038/NCLIMATE1329]
   Graux AI, 2011, AGR ECOSYST ENVIRON, V144, P69, DOI 10.1016/j.agee.2011.07.001
   Hidy D, 2016, GEOSCI MODEL DEV, V9, P4405, DOI 10.5194/gmd-9-4405-2016
   Holman IP, 2019, REG ENVIRON CHANGE, V19, P711, DOI 10.1007/s10113-018-1328-4
   Hufkens Koen, 2017, Zenodo, DOI 10.5281/zenodo.833789
   Jouglet J.-P., 1999, VEGETATIONS ALPAGES
   Jourdain-Annequin C., 2006, ORIGINES TRANSHUMANC
   Kollas C, 2015, EUR J AGRON, V70, P98, DOI 10.1016/j.eja.2015.06.007
   Kurtogullari Y, 2020, APPL VEG SCI, V23, P26, DOI 10.1111/avsc.12462
   Kurz P, 2013, EUR COUNTRYS, V5, P212, DOI 10.2478/euco-2013-0014
   Li W, 2017, ECOL ENG, V98, P123, DOI 10.1016/j.ecoleng.2016.10.026
   Ma SX, 2015, ENVIRON MODELL SOFTW, V72, P356, DOI 10.1016/j.envsoft.2015.03.007
   Moreau J. C., 2007, Fourrages, P285
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nabat P, 2020, ATMOS CHEM PHYS, V20, P8315, DOI 10.5194/acp-20-8315-2020
   Necpálová M, 2015, ENVIRON MODELL SOFTW, V66, P110, DOI 10.1016/j.envsoft.2014.12.011
   Negro M, 2011, ENVIRON ENTOMOL, V40, P1081, DOI 10.1603/EN11105
   Nettier B., 2010, REV GEOGR ALP, P98
   Nori S, 2011, PASTORALISM, V1, DOI 10.1186/2041-7136-1-27
   Parton WJ, 1998, GLOBAL PLANET CHANGE, V19, P35, DOI 10.1016/S0921-8181(98)00040-X
   PARTON WJ, 1994, SSSA SPEC PUBL, P147
   PHILIP JR, 1993, WATER RESOUR RES, V29, P2155, DOI 10.1029/93WR00748
   Piccot A., 2022, P ISCRAES INT S CLIM
   Pielke R, 2021, ENERGY RES SOC SCI, V72, DOI 10.1016/j.erss.2020.101890
   Pinares-Patiño CS, 2007, AGR ECOSYST ENVIRON, V121, P30, DOI 10.1016/j.agee.2006.03.024
   Pulina A, 2018, GRASS FORAGE SCI, V73, P272, DOI 10.1111/gfs.12310
   Richter K, 2012, J APPL REMOTE SENS, V6, DOI 10.1117/1.JRS.6.063557
   Riedo M, 1998, ECOL MODEL, V105, P141, DOI 10.1016/S0304-3800(97)00110-5
   Rousselot M, 2012, CRYOSPHERE, V6, P785, DOI 10.5194/tc-6-785-2012
   Ruti PM, 2016, B AM METEOROL SOC, V97, P1187, DOI 10.1175/BAMS-D-14-00176.1
   Sándor R, 2018, FIELD CROP RES, V222, P238, DOI 10.1016/j.fcr.2017.05.030
   Sándor R, 2017, EUR J AGRON, V88, P22, DOI 10.1016/j.eja.2016.06.006
   Shen MG, 2015, GLOBAL CHANGE BIOL, V21, P3647, DOI 10.1111/gcb.12961
   Stendardi L, 2023, J MAPS, V19, DOI 10.1080/17445647.2022.2120835
   Targetti S., 2019, 8 AIEAA IT ASS AGR A
   Van Oijen M, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020259
   Vital JA, 2013, COMPUT ELECTRON AGR, V98, P131, DOI 10.1016/j.compag.2013.08.004
   Volaire F, 2001, PLANT SOIL, V229, P225, DOI 10.1023/A:1004835116453
   Wang H, 2020, ECOL LETT, V23, P701, DOI 10.1111/ele.13474
   Wanner A, 2021, J OUTDOOR REC TOUR, V35, DOI 10.1016/j.jort.2021.100405
   Wilcke RAI, 2016, ENVIRON MODELL SOFTW, V78, P191, DOI 10.1016/j.envsoft.2016.01.002
   Wu WR, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD001405
   Xu CY, 2016, GLOBAL CHANGE BIOL, V22, P2852, DOI 10.1111/gcb.13224
   Zeeman MJ, 2019, AGR ECOSYST ENVIRON, V270, P129, DOI 10.1016/j.agee.2018.10.003
   Zeeman MJ, 2010, AGR FOREST METEOROL, V150, P519, DOI 10.1016/j.agrformet.2010.01.011
NR 89
TC 5
Z9 5
U1 6
U2 27
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 JUN 15
PY 2023
VL 336
AR 117575
DI 10.1016/j.jenvman.2023.117575
EA MAR 2023
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA A4NC7
UT WOS:000954900900001
PM 36893538
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Barakagira, A
   Ndungo, I
AF Barakagira, Alex
   Ndungo, Isaiah
TI Watershed management and climate change adaptation mechanisms used by
   people living in dryland areas of Lokere catchment in Karamoja, Uganda
SO ENVIRONMENTAL & SOCIO-ECONOMIC STUDIES
LA English
DT Article
DE agricultural production; climate variability; food security; Integrated
   Watershed Management Iinitiative; livelihood components
ID CONSERVATION MEASURES; SOIL; HIGHLANDS; BUNDS
AB The effects of climate change in Uganda are manifested by severe and sometimes extreme weather events such as droughts and landslides. An Integrated Watershed Management (IWM) plan was initiated in the Karamoja region, aimed at generating information that could be used to reduce climate vulnerabilities among the rural poor. The study aimed at determining the local community's perception of the effects of climate change on their livelihoods; and, to examine the effectiveness of the Integrated Watershed Management practices (IWMPs) on agricultural production within the area. Three hundred and ninety-seven households were randomly chosen and included in the survey. Interviews with local government officials who held high posts were conducted. Direct observations were also used for data collection. Findings showed that droughts and increases in pests and diseases; were some of the impacts caused by climate change events. Despite the initiation of IWMPs, climate change events moderately increased food insecurity (gamma = 0.556; P=0.000) and also moderately affected community assets like roads and valley dams (gamma = 0.426; P=0.000). In addition, household income insecurity was moderately and positively related to climate change effects (gamma = 0.556; P=0.000). A weak positive relationship was found between the application of IWMPs and agricultural production (gamma = 0.273; P=0.000). The Uganda Government should emphasize and intensify the implementation of IWMPs among the farmers living in agricultural watersheds as a means of continuously improving agricultural production and building the farmers' resilience to climate change events.
C1 [Barakagira, Alex; Ndungo, Isaiah] Nkumba Univ, Sch Sci, POB 237, Entebbe, Uganda.
   [Barakagira, Alex] Kyambogo Univ, Fac Sci, POB 1, Kyambogo, Kampala, Uganda.
RP Barakagira, A (corresponding author), Nkumba Univ, Sch Sci, POB 237, Entebbe, Uganda.; Barakagira, A (corresponding author), Kyambogo Univ, Fac Sci, POB 1, Kyambogo, Kampala, Uganda.
EM abarakagira@kyu.ac.ug
RI Barakagira, Alex/CAA-3424-2022
OI Isaiah, Ndungo/0000-0002-2859-7772; Barakagira, Alex/0000-0002-0305-9193
CR Abate S., 2014, INTEGRATED WATERSHED
   Alemu B., 2014, Journal of Agriculture and Biodiversity Research, V3, P78
   Anita W., 2010, Climate change and agriculture impacts, adaptation and Mitigation: Impacts, adaptation and Mitigation
   [Anonymous], 2006, CLIMATE CHANGE IMPAC
   [Anonymous], 2005, RECENT DROUGHT TENDE
   [Anonymous], 2006, INTEGRATED MANAGEMEN
   Ashley C., 1999, SUSTAINABLE LIVELIHO
   Bagamba F., 2012, African Crop Science Journal, V20, P303
   Basiima E.N., 2018, HUNGER LOOMS AFTERMA
   Breuer E, 2016, IMPLEMENT SCI, V11, DOI 10.1186/s13012-016-0422-6
   Brouwer A.M., 2015, CLIMATE CHANGE PROFI
   Bryman A., 2008, Social research methods
   Büchs M, 2011, CRIT SOC POLICY, V31, P285, DOI 10.1177/0261018310396036
   Chaplin D., 2017, IMPACTS CLIMATE CHAN
   Chetty Y, 2018, THEORY CHANGE OVERVI
   Chijioke OB., 2011, IMPLICATION CLIMATE
   Desta L., 2005, Community-based participatory watershed development: A Guideline
   Dvimbo M.A., 2017, EXAMINING IMPACT CLI
   FAO, 2005, ENH COORD AGR KNOWL
   FAO, 2017, IMP DIS CRIS AGR FOO
   Forch G, 2009, INTEGRATED WATERSHED
   Gebregziabher Z., 2016, 170 IWMI
   Georgis K., 2010, ENV NATURAL RESOURCE
   Girmay G, 2008, LAND DEGRAD DEV, V19, P351, DOI 10.1002/ldr.844
   Gollnick D.M., 2013, Multicultural education in pluralistic society, V9th
   Grootaert C., 2002, Understanding and Measuring Social Capital: A Multidisciplinary Tool for Practitioners
   Gurjar G.N., 2011, BIOMOLECULAR REPORTS
   Hadush M, 2015, INT J WEATHER CLIMAT, V2, P22
   Hansen J, 1988, US SEN ON 100 C 1 SE
   Hepworth N., 2008, Climate change in Uganda: Understanding the implications and appraising the response
   Herweg K, 1999, CATENA, V36, P99, DOI 10.1016/S0341-8162(99)00004-1
   Hoggart Keith., 2002, RES HUMAN GEOGRAPHY
   Intergovernmental Panel on Climate Change (IPCC), 2020, CLIM CHANG LAND IPCC
   Jamali Ali Akbar, 2015, ARPN Journal of Agricultural and Biological Science, V10, P280
   Joshi P.K., 2005, METAANALYSIS ASSESS
   Karpuzcu M., 2011, The Online Journal of Science and Technology (TOJSAT), V1, P1
   Kato E, 2011, AGR ECON-BLACKWELL, V42, P593, DOI 10.1111/j.1574-0862.2011.00539.x
   Kerr G.P., 2002, WATERSHED DEV PROJEC
   Kerse B.C., 2017, J BIOL AGR HLTH, V7, P21
   Khanal R. C., 2009, Journal of Agriculture and Environment, V10, P100
   Kombo DonaldK., 2006, Proposal and Thesis Writing, An Introduction
   Kothari C.R., 2004, Research methodology: Methods and techniques, DOI DOI 10.1017/CBO9781107415324.004
   Krantz L., 2001, SUSTAINABLE LIVELIHO
   Landman W.A., 2010, BOOK REV ENV SCI
   Lindlof T. R., 2011, QUALITATIVE COMMUNIC
   Mekuria W, 2007, J ARID ENVIRON, V69, P270, DOI 10.1016/j.jaridenv.2006.10.009
   Mikova Kseniia., 2015, Earth Sciences, P120, DOI DOI 10.11648/J.EARTH.20150403.15
   MWE, 2017, LOK CATCHM MAN PLAN
   NBI (Nile Basin Initiative), 2017, IMPL LIV BAS WAT MAN
   Nelson GC, 2009, Climate change: Impact on Agriculture and costs of Adaptation, V21, DOI DOI 10.2499/0896295354
   Nyenje PM, 2009, HYDROLOG SCI J, V54, P713, DOI 10.1623/hysj.54.4.713
   Okoba BO, 2005, LAND DEGRAD DEV, V16, P475, DOI 10.1002/ldr.678
   Okonya J. S., 2013, Journal of Agricultural Science (Toronto), V5, P252
   Olsson L., 2019, LAND DEGRADATION CLI, P345
   Oluwole O.A., 2017, INT J SCI WORLD, V5, P172
   Onoja U. S., 2011, Global Journal of Pure and Applied Sciences, V17, P469
   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]
   Raes D, 2007, AGR WATER MANAGE, V89, P229, DOI 10.1016/j.agwat.2007.01.005
   Reinholz DL, 2020, INT J STEM EDUC, V7, DOI 10.1186/s40594-020-0202-3
   Rockstrom J., 2007, Water for Food, Water for Life, P315
   Salinger M, 2005, CLIMATIC CHANGE, V70, P9, DOI 10.1007/s10584-005-5936-x
   Sandeep N.A., 2015, CURR CONTENTS, V1, P12
   Sarantakos S., 2013, SOC RES, V4th
   Serrat O, 2017, SUSTAINABLE LIVELIHO, DOI [DOI 10.1007/978-981-10-0983-9_5, 10.1007/978-981-10-0983-9_5]
   Serrat O., 2013, THEORIES CHANGE
   Sheng T.C., 1994, 8 INT SOIL CONS C NE
   Taylor T., 2014, EC ASSESSMENT IMPACT
   Tenge A J M., 2005, Doctoral Thesis
   Teshome A, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00060
   Tubiello F., 2012, Climate change adaptation and mitigation: challenges and opportunities in the food sector
   Vancampenhout K, 2006, SOIL TILL RES, V90, P1, DOI 10.1016/j.still.2005.08.004
   Wang GY, 2016, J FORESTRY RES, V27, P967, DOI 10.1007/s11676-016-0293-3
   Wani S., 2008, J HYDROLOGICAL RES D, V23, P55
   Yakob T., 2008, SOIL WATER CONSERVAT, P234
NR 74
TC 2
Z9 2
U1 0
U2 1
PU SCIENDO
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND
SN 2354-0079
J9 ENVIRON SOCIO-ECON S
JI Environ. Socio-Econ. Stud.
PD MAR 1
PY 2023
VL 11
IS 1
BP 45
EP 57
DI 10.2478/environ-2023-0004
PG 13
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA E4WW4
UT WOS:000975571100004
OA gold
DA 2025-01-10
ER

PT J
AU Aslam, AB
   Rana, IA
   Shah, SS
   Mohuddin, G
AF Aslam, Atif Bilal
   Rana, Irfan Ahmad
   Shah, Syed Samad
   Mohuddin, Ghulam
TI Climate change and glacial lake outburst flood (GLOF) risk perceptions:
   An empirical study of Ghizer District, Gilgit-Baltistan Pakistan
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Climate resilience; Adaptation; Risk assessment; Flood risk management;
   Community participation
ID VULNERABILITY; DETERMINANTS; RESILIENCE; ATTITUDES; AREAS; MODEL
AB Risk perception is gaining attention in disaster risk reduction and climate change-related studies. It plays a role in shaping the preparedness, adaptation, response, and resilience of vulnerable communities. However, the literature suggests that risk perception is contextually sensitive. There are limited studies that offer insights on the risk perception of climate change and related disaster events in an integrated manner. This study investigates the climate change and associated glacial lake outburst floods risk perceptions of the remotely located vulnerable communities in the northern mountainous region of Gilgit Baltistan, Pakistan. The study employed the quantitative method of household surveys in vulnerable communities for data collection. An extensive literature review was conducted to select the key indicators to determine the risk perception in the selected communities. Indexing and multiple regression analyses were performed to draw the results of the study. GLOF risk perception has been found higher as compared to the climate change risk perception. Fear has been found as the most significant determinant of the GLOF risk perception, whereas socio-economic variables of gender, education, duration of living, and past hazard experiences have been found to be predictors of climate change risk perception. Also, most people did not believe in a link between climate change and GLOF events. The study also provides an important finding for an effective policy formulation that communities are aware of the lifethreatening impacts of GLOFs, which may be used to increase community resilience against GLOFs through risk communication, preparedness campaigns, and climate change adaptation measures.
C1 [Aslam, Atif Bilal; Shah, Syed Samad; Mohuddin, Ghulam] Univ Engn & Technol UET, Dept City & Reg Planning, GT Rd, Lahore 54890, Pakistan.
   [Rana, Irfan Ahmad] Natl Univ Sci & Technol NUST, Sch Civil & Environm Engn, Dept Urban & Reg Planning, H-12 Sect, Islamabad 44000, Pakistan.
C3 National University of Sciences & Technology - Pakistan
RP Aslam, AB (corresponding author), Univ Engn & Technol UET, Dept City & Reg Planning, GT Rd, Lahore 54890, Pakistan.
EM atif.aslam@uet.edu.pk; iarana@nit.nust.edu.pk; shah.syedsamad@gmail.com;
   mohuddin.planner@gmail.com
RI Aslam, Atif/AES-8412-2022; Rana, Irfan Ahmad/C-2560-2017
OI Rana, Irfan Ahmad/0000-0002-3157-1186; Aslam, Atif
   Bilal/0000-0002-6536-1574; Shah, Syed Samad/0009-0003-7922-9317
CR Aga Khan Agency for Habitat, 2019, HAZ VULN RISK PROF V
   Ainuddin S, 2014, INT J DISAST RISK RE, V7, P165, DOI 10.1016/j.ijdrr.2013.10.006
   [Anonymous], 2012, National Disaster Management Plan 2012.
   Armas I, 2008, NAT HAZARDS, V47, P397, DOI 10.1007/s11069-008-9229-3
   Ashraf A, 2012, GEOMAT NAT HAZ RISK, V3, P113, DOI 10.1080/19475705.2011.615344
   Babcicky P, 2017, J RISK RES, V20, P1017, DOI 10.1080/13669877.2016.1147489
   Birkholz S, 2014, SCI TOTAL ENVIRON, V478, P12, DOI 10.1016/j.scitotenv.2014.01.061
   Bodoque JM, 2016, J HYDROL, V541, P665, DOI 10.1016/j.jhydrol.2016.02.005
   Botzen WJW, 2009, WATER RESOUR RES, V45, DOI 10.1029/2009WR007743
   Chaudhry Q., 2017, Climate Change Profile of Pakistan
   Dahal KR, 2011, ENVIRON HAZARDS-UK, V10, P154, DOI 10.1080/17477891.2011.582310
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   FISCHHOFF B, 1978, POLICY SCI, V9, P127, DOI 10.1007/BF00143739
   Glacier Hub, 2018, BARS GLAC CAUS FLOOD
   González-Riancho P, 2015, OCEAN COAST MANAGE, V112, P44, DOI 10.1016/j.ocecoaman.2015.05.004
   Government of Pakistan, 2020, Pakistan economic survey 2020-21
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Grunblatt J, 2017, SUSTAIN SCI, V12, P3, DOI 10.1007/s11625-016-0394-0
   Gustafson PE, 1998, RISK ANAL, V18, P805, DOI 10.1023/B:RIAN.0000005926.03250.c0
   Ho MC, 2008, RISK ANAL, V28, P635, DOI 10.1111/j.1539-6924.2008.01040.x
   Hudson P, 2020, INT J DISAST RISK SC, V11, P251, DOI 10.1007/s13753-020-00259-w
   Khan AA, 2021, ENVIRON HAZARDS-UK, V20, P416, DOI 10.1080/17477891.2020.1839375
   Khan AA, 2020, INT J DISAST RISK RE, V44, DOI 10.1016/j.ijdrr.2019.101427
   Khan SU, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101317
   Lee TM, 2015, NAT CLIM CHANGE, V5, P1014, DOI 10.1038/NCLIMATE2728
   Lindell MK, 2008, RISK ANAL, V28, P539, DOI 10.1111/j.1539-6924.2008.01032.x
   Lindell MK, 2012, RISK ANAL, V32, P616, DOI 10.1111/j.1539-6924.2011.01647.x
   Lo AY, 2013, GLOBAL ENVIRON CHANG, V23, P1249, DOI 10.1016/j.gloenvcha.2013.07.019
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Mills M, 2016, CLIMATIC CHANGE, V136, P523, DOI 10.1007/s10584-016-1644-y
   Ministry of Climate Change, 2012, NATL CLIMATE CHANGE
   Mustafa D., 2003, Environmental Hazards, V5, P71, DOI 10.1016/j.hazards.2004.05.001
   NDMA, 2019, National Disaster Response Plan 2019.
   Neuwirth K, 2000, RISK ANAL, V20, P721, DOI 10.1111/0272-4332.205065
   Pamir Times, 2018, PAMIR TIMES
   Peacock WG, 2005, LANDSCAPE URBAN PLAN, V73, P120, DOI 10.1016/j.landurbplan.2004.11.004
   Rana IA, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102096
   Rana IA, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101624
   Rana IA, 2021, ENVIRON HAZARDS-UK, V20, P209, DOI 10.1080/17477891.2020.1751031
   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
   Rehman G, 2014, NAT HAZARDS, V70, P1589, DOI 10.1007/s11069-013-0893-6
   Rufat S., 2021, ANR19MRSEI0009
   Saqib SE, 2016, INT J DISAST RISK RE, V18, P107, DOI 10.1016/j.ijdrr.2016.06.007
   Schneiderbauer S, 2021, SCI TOTAL ENVIRON, V784, DOI 10.1016/j.scitotenv.2021.146957
   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 S.S, 2019, Risk Reduction of Glacial Lake Outburst Floods (GLOFs): A Case Study of Ghizer District
   Siegrist M, 2005, RISK ANAL, V25, P211, DOI 10.1111/j.0272-4332.2005.00580.x
   Siegrist M, 2006, RISK ANAL, V26, P971, DOI 10.1111/j.1539-6924.2006.00792.x
   Sjöberg L, 2000, RISK ANAL, V20, P1, DOI 10.1111/0272-4332.00001
   Slovic P., 1986, Contemporary Issues in Risk Analysis: The Behavioral and Social Sciences, DOI DOI 10.1007/978-1-4613-2103-3_1
   Sullivan-Wiley KA, 2017, WORLD DEV, V97, P138, DOI 10.1016/j.worlddev.2017.04.002
   Sun YY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15010091
   Tranter B, 2013, AUST J POLIT HIST, V59, P397, DOI 10.1111/ajph.12023
   Twigg J, 2000, EARLY WARNING SYSTEMS FOR NATURAL DISASTER REDUCTION, P19
   Ullah F, 2020, NAT HAZARDS, V104, P225, DOI 10.1007/s11069-020-04166-7
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   Xie B, 2019, J ENVIRON PSYCHOL, V65, DOI 10.1016/j.jenvp.2019.101331
NR 59
TC 6
Z9 6
U1 6
U2 20
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 2022
VL 83
AR 103392
DI 10.1016/j.ijdrr.2022.103392
PG 11
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA R9YI0
UT WOS:001067828600002
DA 2025-01-10
ER

PT J
AU Staccione, A
   Candiago, S
   Mysiak, J
AF Staccione, Andrea
   Candiago, Sebastian
   Mysiak, Jaroslav
TI Mapping a Green Infrastructure Network: a framework for spatial
   connectivity applied in Northern Italy
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Landscape connectivity; Ecosystem services; Nature-based solutions;
   Protected areas; Morphological spatial pattern analysis; Climate change
   adaptation
ID LANDSCAPE CONNECTIVITY; ECOSYSTEM SERVICES; HABITAT PATCHES; LEAST-COST;
   ECOLOGICAL NETWORKS; STEPPING STONES; AVAILABILITY; BIODIVERSITY;
   MANAGEMENT; CORRIDORS
AB Global environmental changes, including landscape fragmentation, are threatening the integrity of ecosystems and reducing their capacity to deliver ecosystem services. Spatial configuration of a green network supports ecological functions and services, that depend on living organisms and material movements across the landscape. It is important to study the structure of green infrastructure networks and to develop robust methodologies that can inform future planning. In this paper we describe a framework for connectivity analysis and enhancement within the green infrastructure networks. We review and combine methods to map and analyse the current spatial network configuration of green elements, in order to identify the key nodes and links that can maintain connectivity and consequently support the benefits provided across the landscape. The study explores the creation of network scenarios and the improvement or reduction of connectivity by adding, preserving, or removing corridors and core areas. Methods include morphological spatial pattern analysis, landscape connectivity metrics and graph theory elements. The analysis has been applied in the Northern Italian Plain, considering green riparian zones and the protected areas as elements of the network. The results show that this method can be used to analyse the status of green infrastructure networks and to identify the main needs for maintaining and improving network connectivity. This is important in the current context of change, as it may support decision-makers in developing tailored adaptation strategies that exploit nature-based solutions to reduce the risks caused by the major drivers of change.
C1 [Staccione, Andrea; Mysiak, Jaroslav] Euro Mediterranean Ctr Climate Change, Edificio Porta Innovaz Piano 2,Via Liberal 12, I-30175 Venice, Italy.
   [Staccione, Andrea; Mysiak, Jaroslav] CaFoscari Univ Venice, Edificio Porta Innovaz Piano 2,Via Liberal 12, I-30175 Venice, Italy.
   [Candiago, Sebastian] Eurac Res, Inst Alpine Environm, Viale Druso 1, I-39100 Bozen Bolzano, Italy.
   [Candiago, Sebastian] CaFoscari Univ Venice, Dept Econ, S Giobbe 873, I-30121 Venice, Italy.
C3 Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC); Universita Ca
   Foscari Venezia; European Academy of Bozen-Bolzano; Universita Ca
   Foscari Venezia
RP Staccione, A (corresponding author), Euro Mediterranean Ctr Climate Change, Edificio Porta Innovaz Piano 2,Via Liberal 12, I-30175 Venice, Italy.; Staccione, A (corresponding author), CaFoscari Univ Venice, Edificio Porta Innovaz Piano 2,Via Liberal 12, I-30175 Venice, Italy.
EM andrea.staccione@cmcc.it
RI Staccione, Andrea/KCL-3533-2024; Mysiak, Jaroslav/A-8683-2019
OI Candiago, Sebastian/0000-0001-5065-6364; Staccione,
   Andrea/0000-0002-9251-8952
FU European Regional Development Fund through the Interreg Alpine Space
   Programme ('AlpES \ Alpine Ecosystem Services -mapping, maintenance,
   management') [ASP 183]; Interreg V-A ITA-AUT programme (REBECKA)
   [ITAT1002]
FX Sebastian Candiago's PhD grant was co-financed by the European Regional
   Development Fund through the Interreg Alpine Space Programme (`AlpES
   vertical bar Alpine Ecosystem Services -mapping, maintenance,
   management', project number ASP 183), and the Interreg V-A ITA-AUT
   programme (REBECKA, project number ITAT1002). The authors thank the
   Department of Innovation, Research and University of the Autonomous
   Province of Bozen/Bolzano for covering the Open Access publication
   costs.
CR Almenar JB, 2018, LANDSCAPE ECOL, V33, P2047, DOI 10.1007/s10980-018-0727-8
   Angelstam P, 2017, J ENVIRON MANAGE, V193, P300, DOI 10.1016/j.jenvman.2017.02.017
   [Anonymous], 2020, COM2020380, P380
   [Anonymous], 2018, NAT 2000 DAT EUR NET
   [Anonymous], OJ L, P7
   [Anonymous], 2015, Towards an EU research and innovation policy agenda for nature-based solutions and re-naturing cities: final report of the Horizon 2020 expert group on 'Nature-based solutions and re-naturing cities, DOI DOI 10.2777/765301
   [Anonymous], 2013, Communication From the Commission to the European Parliament, The Council, The European Economic and Social Committee and the Committee of the Regions Clean Power for Transport: A European alternative fuels strategy
   Avon C, 2016, LANDSCAPE ECOL, V31, P1551, DOI 10.1007/s10980-015-0336-8
   Balbi M, 2019, J ENVIRON MANAGE, V244, P61, DOI 10.1016/j.jenvman.2019.04.124
   Bastian O, 2013, ECOL INDIC, V24, P12, DOI 10.1016/j.ecolind.2012.05.016
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Calliari E, 2019, SCI TOTAL ENVIRON, V656, P691, DOI 10.1016/j.scitotenv.2018.11.341
   CBD, 2010, DEC UNEP CBD COP DEC
   Commission E., 1992, OJ L, V206, P7
   Congedo L, 2016, J MAPS, V12, P1195, DOI 10.1080/17445647.2016.1145151
   Copernicus, 2015, LAND MON SERV RIP ZO
   Da Lio C, 2019, ESTUAR COAST SHELF S, V228, DOI 10.1016/j.ecss.2019.106379
   Demarchi L, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12071222
   Domeneghetti A, 2015, J HYDROL, V527, P809, DOI 10.1016/j.jhydrol.2015.05.043
   EC, 2013, EC BEN NAT 2000 NETW
   EC, COM2019640
   EEA, 2020, BUILDING COHERENT, DOI [10.2800/960913, DOI 10.2800/960913]
   EEA, 2019, NAT DES AR CDDA
   Eggermont H, 2015, GAIA, V24, P243, DOI 10.14512/gaia.24.4.9
   European Commission, 2020, BIOD STRAT 2030 BRIN
   Faivre N, 2017, ENVIRON RES, V159, P509, DOI 10.1016/j.envres.2017.08.032
   Fenu Gianni, 2018, Appl Netw Sci, V3, P22, DOI 10.1007/s41109-018-0085-0
   Field RD, 2017, ECOL COMPLEX, V32, P31, DOI 10.1016/j.ecocom.2017.08.004
   Galpern P, 2011, BIOL CONSERV, V144, P44, DOI 10.1016/j.biocon.2010.09.002
   Gonzalez A, 2017, CURR OPIN ENV SUST, V29, P187, DOI 10.1016/j.cosust.2018.03.012
   Herrera LP, 2017, BIODIVERS CONSERV, V26, P3465, DOI 10.1007/s10531-017-1416-7
   Phama HV, 2019, SCI TOTAL ENVIRON, V652, P1347, DOI 10.1016/j.scitotenv.2018.10.303
   ISPRA, 2016, Report SNPA 37/23 2023
   Istituto Centrale di Statistica (ISTAT), 1958, Serie C, P1
   Kabisch N, 2016, ECOL SOC, V21, DOI 10.5751/ES-08373-210239
   Kukkala AS, 2017, LANDSCAPE ECOL, V32, P5, DOI 10.1007/s10980-016-0446-y
   Lafortezza R, 2018, ENVIRON RES, V165, P431, DOI 10.1016/j.envres.2017.11.038
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Larsen L, 2004, J AM PLANN ASSOC, V70, P374
   Lee JA, 2014, SUSTAINABILITY-BASEL, V6, P7564, DOI 10.3390/su6117564
   Liquete C, 2015, ENVIRON SCI POLICY, V54, P268, DOI 10.1016/j.envsci.2015.07.009
   Liu SL, 2017, ECOL MODEL, V353, P129, DOI 10.1016/j.ecolmodel.2016.03.009
   Maes J., 2015, CONSERV LETT
   Maes J, 2015, LANDSCAPE ECOL, V30, P517, DOI 10.1007/s10980-014-0083-2
   Magaudda S, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062301
   Mitchell MGE, 2015, TRENDS ECOL EVOL, V30, P190, DOI 10.1016/j.tree.2015.01.011
   Mitchell MGE, 2013, ECOSYSTEMS, V16, P894, DOI 10.1007/s10021-013-9647-2
   Mönkkönen M, 1999, OIKOS, V84, P302, DOI 10.2307/3546725
   Montanari A, 2012, HYDROL EARTH SYST SC, V16, P3739, DOI 10.5194/hess-16-3739-2012
   Moroni S, 2019, LAND USE POLICY, V86, P104, DOI 10.1016/j.landusepol.2019.04.032
   Pascual-Hortal L, 2006, LANDSCAPE ECOL, V21, P959, DOI 10.1007/s10980-006-0013-z
   Pozzer A, 2019, ATMOS POLLUT RES, V10, P731, DOI 10.1016/j.apr.2018.11.012
   Rayfield B, 2011, ECOLOGY, V92, P847, DOI 10.1890/09-2190.1
   Salvati L, 2012, LANDSCAPE URBAN PLAN, V105, P43, DOI 10.1016/j.landurbplan.2011.11.020
   Saura S., 2012, Conefor 2.6 user manual
   Saura S, 2009, ENVIRON MODELL SOFTW, V24, P135, DOI 10.1016/j.envsoft.2008.05.005
   Saura S, 2007, LANDSCAPE URBAN PLAN, V83, P91, DOI 10.1016/j.landurbplan.2007.03.005
   Saura S, 2014, J APPL ECOL, V51, P171, DOI 10.1111/1365-2664.12179
   Saura S, 2011, FOREST ECOL MANAG, V262, P150, DOI 10.1016/j.foreco.2011.03.017
   Saura S, 2010, ECOGRAPHY, V33, P523, DOI 10.1111/j.1600-0587.2009.05760.x
   Seliger C, 2018, AQUAT ECOL SER, V8, P171, DOI 10.1007/978-3-319-73250-3_9
   Soille P, 2009, PATTERN RECOGN LETT, V30, P456, DOI 10.1016/j.patrec.2008.10.015
   Taramelli A, 2020, WATER-SUI, V12, DOI 10.3390/w12102830
   Urban D, 2001, ECOLOGY, V82, P1205, DOI 10.1890/0012-9658(2001)082[1205:LCAGTP]2.0.CO;2
   Urban DL, 2009, ECOL LETT, V12, P260, DOI 10.1111/j.1461-0248.2008.01271.x
   Vallecillo S, 2018, LANDSCAPE URBAN PLAN, V174, P41, DOI 10.1016/j.landurbplan.2018.03.001
   van Etten J, 2017, J STAT SOFTW, V76, P1, DOI 10.18637/jss.v076.i13
   Vogt P, 2009, ECOL INDIC, V9, P64, DOI 10.1016/j.ecolind.2008.01.011
   Vogt P, 2017, EUR J REMOTE SENS, V50, P352, DOI 10.1080/22797254.2017.1330650
   Wei JX, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020327
   Wickham JD, 2010, LANDSCAPE URBAN PLAN, V94, P186, DOI 10.1016/j.landurbplan.2009.10.003
   Zetterberg A, 2010, LANDSCAPE URBAN PLAN, V95, P181, DOI 10.1016/j.landurbplan.2010.01.002
   Zhang ZZ, 2019, URBAN FOR URBAN GREE, V38, P305, DOI 10.1016/j.ufug.2018.10.014
   Zhibo Du, 2018, IOP Conference Series: Materials Science and Engineering, V392, DOI 10.1088/1757-899X/392/6/062094
NR 75
TC 24
Z9 25
U1 13
U2 70
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 MAY
PY 2022
VL 131
BP 57
EP 67
DI 10.1016/j.envsci.2022.01.017
EA FEB 2022
PG 11
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 2Q2SP
UT WOS:000820278400007
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Nilsson, A
   Mentis, D
   Korkovelos, A
   Otwani, J
AF Nilsson, Anna
   Mentis, Dimitrios
   Korkovelos, Alexandros
   Otwani, Joel
TI A GIS-Based Approach to Estimate Electricity Requirements for
   Small-Scale Groundwater Irrigation
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
LA English
DT Article
DE energy access; geospatial planning; irrigation; energy-water-agriculture
   nexus; smallholder farming; Uganda; integrated energy planning; energy
   systems; GIS
ID SYSTEM
AB Access to modern energy services is a precondition to improving livelihoods and building resilience against climate change. Still, electricity reaches only about half of the population in Sub-Saharan Africa (SSA), while about 40% live under the poverty line. Heavily reliant on the agriculture sector and increasingly affected by prolonged droughts, small-scale irrigation could be instrumental for development and climate change adaptation in SSA countries. A bottom-up understanding of the demand for irrigation and associated energy services is essential for designing viable energy supply options in an effective manner. Using Uganda as a case study, the study introduces a GIS-based methodology for the estimation of groundwater irrigation requirements through which energy demand is derived. Results are generated for two scenarios: (a) a reference scenario and (b) a drought scenario. The most critical need is observed in the northern and southern regions of the country. The total annual irrigation demand is estimated to be ca. 90 thousand m(3), with the highest demand observed in the months of December through February, with an average irrigation demand of 445 mm per month. The highest energy demand is observed in the northern part of the study area in January, reaching 48 kWh/ha. The average energy demand increases by 67% in the drought scenario. The study contributes to current gaps in the existing literature by providing a replicable methodological framework and data aimed at facilitating energy system planning through the consideration of location-specific characteristics at the nexus of energy-water-agriculture.
C1 [Nilsson, Anna] NewClimate Inst, D-10119 Berlin, Germany.
   [Mentis, Dimitrios] World Resources Inst, Washington, DC 20002 USA.
   [Korkovelos, Alexandros] World Bank, 1818 H St NW, Washington, DC 20433 USA.
   [Otwani, Joel] GIZ Promot Renewable Energy & Energy Efficiency P, Kampala 256, Uganda.
C3 The World Bank
RP Nilsson, A (corresponding author), NewClimate Inst, D-10119 Berlin, Germany.
EM a.nilsson@newclimate.org; Dimitrios.Mentis@wri.org;
   akorkovelos@worldbank.org; otwanijoel@gmail.com
OI Nilsson, Anna/0000-0001-8392-7036; Korkovelos,
   Alexandros/0000-0001-5487-1002
FU World Resources Institute (WRI); Royal Institute of Technology (KTH)
FX This paper was co-supervised by Dimitrios Mentis with support from the
   World Resources Institute (WRI) and Alexandros Korkovelos with support
   from the Royal Institute of Technology (KTH). The author also wishes to
   thank the Ministry of Energy and Mineral Development of Uganda for the
   kind provision of office space.
CR Access Coalition Oxfam and CAFOD, 2016, POW AGR SUST INCL EC
   Ali M.H., 2017, ASIAN RES J AGRI, V7, P1, DOI DOI 10.9734/ARJA/2017/36812
   Allen R.G., 1998, FAO Irrig. Drain. Pap., V56, P300, DOI DOI 10.1016/S0141-1187(05)80058-6
   Almulla Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177043
   [Anonymous], 2018, CLOSING POTENTIAL PE, DOI DOI 10.1596/30012
   [Anonymous], 2014, Atlas of African agriculture research and development
   Araya A, 2011, AGR FOREST METEOROL, V151, P425, DOI 10.1016/j.agrformet.2010.11.014
   Bjornlund V, 2020, INT J WATER RESOUR D, V36, pS20, DOI 10.1080/07900627.2020.1739512
   British Geological Survey, 2018, DEPTH GROUNDW
   British Geological Survey, 2020, HYDR UG
   Brouwer C., 1989, TRAINING MANUAL
   Brouwer C., 1986, IRRIGATION WATER MAN
   Carr MKV, 2001, EXP AGR, V37, P1, DOI 10.1017/S0014479701001090
   CGIAR-CSI, 2019, GLOB AR PET DAT
   CGIAR-CSI, 2019, GLOB GEOSP POT EVAPO
   CGIAR-CSI,, 2019, GLOBAL ARIDITY INDEX
   Cumani M., 2016, Characterization of the Agricultural Drought Prone Areas on a Global Scale
   Dastante N.G., 1978, EFFECTIVE RAINFALL I
   Dixon J., 2001, SUMMARY FARMING SYST
   Droogers P., 2012, ASSESSMENT IRRIGATIO
   Dubois O., 2017, SEAR SPECIAL FEATURE
   Energy Sector GIS Working Group Uganda, 2016, DOWNL GIS SHAP
   European Space Agency, 2015, LAND COV CCI CLIM RE
   Falchetta G., 2020, M LED MULTISECTORAL
   FAO, 2009, How to Feed the World in 2050, DOI 10.1111/j.1728-4457.2009.00312.x
   Food Ethics Council, 2018, WHOM QUEST FOOD FARM
   Garg S., 2012, ESTIMATING PUMP CAPA
   GIS Energy Sector Working Group, 2018, DOWNL GIS SHAP
   HARGREAVES GH, 1994, J IRRIG DRAIN ENG, V120, P1132, DOI 10.1061/(ASCE)0733-9437(1994)120:6(1132)
   IEA, 2022, World Energy Outlook
   ISRIC, 2017, AFR SOILGRIDS ROOT Z
   ISRIC, 2017, AFR SOIL PROF DAT
   Kay M., 1992, Small scale pumped irrigation: energy and cost
   Lipton M., 2013, RECOMMITTING COMMODI
   McDonnell T., 2017, NATL GEOGR
   Mentis D., 2017, SPATIALLY EXPLICIT E
   Mentis D, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa7b29
   Ministry of Water and Environment (MWE), 2017, NAT IRR POL AGR TRAN
   Mulinde C., 2016, METEOROLOGICAL DROUG
   Nerini FF, 2016, ENERG POLICY, V98, P544, DOI 10.1016/j.enpol.2016.09.029
   ODUOL PA, 1990, AGROFOREST SYST, V11, P213, DOI 10.1007/BF00045900
   Pegios K.F., 2018, GIS BASED APPROACH P
   PEPFAR Uganda, 2021, PEOPL VOIC UG COMM P
   Practical Action, 2014, POOR PEOPLES ENERGY
   Princeton Climate Analytics, SCI VAL DAT PROD
   Protected Planet, 2019, PROT AR WDPA
   QGIS, 2021, QGIS FREE OP SOURC G
   Rosen MA, 2021, EARTH SYST ENVIRON, V5, P217, DOI 10.1007/s41748-021-00217-6
   Schmitter P, 2018, APPL GEOGR, V94, P41, DOI 10.1016/j.apgeog.2018.02.008
   Sheffield J, 2014, B AM METEOROL SOC, V95, P861, DOI 10.1175/BAMS-D-12-00124.1
   Shirley R, 2021, J AGR FOOD RES, V5, DOI 10.1016/j.jafr.2021.100172
   The World Bank, 2019, RUAR POP UG
   The World Bank, 2019, ACC EL POP UG
   Trabucco A., 2019, GLOBAL HIGH RESOLUTI
   Uganda Coffee Development Authority, 2017, COFF FARM
   Wang N, 2015, EUR J AGRON, V63, P1, DOI 10.1016/j.eja.2014.11.003
   Wilhite D. A., 1985, Water International, V10, P111, DOI 10.1080/02508068508686328
   Winston E., 2005, Arabica coffee manual for Lao-PDR, FAO Corporate Document Repository
   World Bank, 2020, POP TOT SUBS AFR
   World Bank, 2016, UG POV ASS REP 2016
   World Coffee Research, 2016, DROUGHT TOL COFF
   World Resources Institute, 2019, EN ACC EXPL INT DAT
   WorldClim, 2018, GLOB CLIM WEATH DAT
   WRI and IFPRI, 2016, AQ FOOD
   Xie H, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001611
NR 65
TC 6
Z9 6
U1 1
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
J9 ISPRS INT J GEO-INF
JI ISPRS Int. J. Geo-Inf.
PD NOV
PY 2021
VL 10
IS 11
AR 780
DI 10.3390/ijgi10110780
PG 25
WC Computer Science, Information Systems; Geography, Physical; Remote
   Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Physical Geography; Remote Sensing
GA XH6KZ
UT WOS:000725542300001
OA gold
DA 2025-01-10
ER

PT J
AU Sallmannshofer, M
   Chakraborty, D
   Vacik, H
   Illés, G
   Löw, M
   Rechenmacher, A
   Lapin, K
   Ette, S
   Stojanovic, D
   Kobler, A
   Schueler, S
AF Sallmannshofer, Markus
   Chakraborty, Debojyoti
   Vacik, Harald
   Illes, Gabor
   Loew, Markus
   Rechenmacher, Andreas
   Lapin, Katharina
   Ette, Sophie
   Stojanovic, Dejan
   Kobler, Andrej
   Schueler, Silvio
TI Continent-Wide Tree Species Distribution Models May Mislead Regional
   Management Decisions: A Case Study in the Transboundary Biosphere
   Reserve Mura-Drava-Danube
SO FORESTS
LA English
DT Article
DE bioclimatic model; ecological niche model; forest management; tree
   species selection; riparian forest habitat; climate change adaptation
ID CLIMATE-CHANGE; FOREST MANAGEMENT; ENVIRONMENTAL PREDICTORS; ECOSYSTEM
   SERVICES; RIPARIAN FORESTS; NORTH-AMERICA; EUROPE; FLOODPLAIN;
   RESTORATION; SELECTION
AB The understanding of spatial distribution patterns of native riparian tree species in Europe lacks accurate species distribution models (SDMs), since riparian forest habitats have a limited spatial extent and are strongly related to the associated watercourses, which needs to be represented in the environmental predictors. However, SDMs are urgently needed for adapting forest management to climate change, as well as for conservation and restoration of riparian forest ecosystems. For such an operative use, standard large-scale bioclimatic models alone are too coarse and frequently exclude relevant predictors. In this study, we compare a bioclimatic continent-wide model and a regional model based on climate, soil, and river data for central to south-eastern Europe, targeting seven riparian foundation species-Alnus glutinosa, Fraxinus angustifolia, F. excelsior, Populus nigra, Quercus robur, Ulmus laevis, and U. minor. The results emphasize the high importance of precise occurrence data and environmental predictors. Soil predictors were more important than bioclimatic variables, and river variables were partly of the same importance. In both models, five of the seven species were found to decrease in terms of future occurrence probability within the study area, whereas the results for two species were ambiguous. Nevertheless, both models predicted a dangerous loss of occurrence probability for economically and ecologically important tree species, likely leading to significant effects on forest composition and structure, as well as on provided ecosystem services.
C1 [Sallmannshofer, Markus; Chakraborty, Debojyoti; Loew, Markus; Rechenmacher, Andreas; Lapin, Katharina; Ette, Sophie; Schueler, Silvio] Fed Res & Training Ctr Forests Nat Hazards & Land, Dept Forest Growth & Silviculture, Seckendorff Gudent Weg 8, A-1131 Vienna, Austria.
   [Vacik, Harald] Univ Nat Resources & Life Sci, Inst Silviculture, Peter Jordanstr 82, A-1190 Vienna, Austria.
   [Illes, Gabor] NARIK Forest Res Inst, Dept Ecol & Silviculture, Varkerulet 30-A, H-9600 Sarvar, Hungary.
   [Stojanovic, Dejan] Univ Novi Sad, Inst Lowland Forestry & Environm, Antona Cehova 13, Novi Sad 21000, Serbia.
   [Kobler, Andrej] Slovenian Forestry Inst, Vecna Pot 2, Ljubljana 1000, Slovenia.
C3 BOKU University; University of Novi Sad; Slovenian Forestry Institute
RP Sallmannshofer, M (corresponding author), Fed Res & Training Ctr Forests Nat Hazards & Land, Dept Forest Growth & Silviculture, Seckendorff Gudent Weg 8, A-1131 Vienna, Austria.
EM markus.sallmannshofer@bfw.gv.at; debojyoti.chakraborty@bfw.gv.at;
   harald.vacik@boku.ac.at; illesg@erti.hu; markus.loew@bfw.gv.at;
   andreas.rechenmacher@bfw.gv.at; katharina.lapin@bfw.gv.at;
   sophie.ette@bfw.gv.at; dejan.stojanovic@uns.ac.rs;
   andrej.kobler@gozdis.si; silvio.schueler@bfw.gv.at
RI Stojanovic, Dejan/AAW-4912-2021; Schueler, Silvio/V-2612-2019;
   Chakraborty, Debojyoti/GRI-9445-2022; Vacik, Harald/B-1185-2009
OI Illes, Gabor Zoltan/0000-0001-5175-3385; Ette,
   Jana-Sophie/0000-0002-2160-8563; Stojanovic, Dejan/0000-0003-2967-2049;
   Vacik, Harald/0000-0002-5668-6967; Schueler, Silvio/0000-0003-0155-5692;
   Lapin, Katharina/0000-0003-4462-2058; Low, Markus/0000-0002-6622-6497
FU INTERREG Danube program (Project REFOCuS: Resilient Riparian Forest in
   the Mura-Drava-Danube Biosphere Reserve) [DTP2-044-2.3]
FX This research was supported by the INTERREG Danube program (Project
   REFOCuS: Resilient Riparian Forest in the Mura-Drava-Danube Biosphere
   Reserve, DTP2-044-2.3).
CR Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   Allard G., ALIEN INVASIVE SPECI
   [Anonymous], QGIS GEOGR INF SYST
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   Austin MP, 2011, J BIOGEOGR, V38, P1, DOI 10.1111/j.1365-2699.2010.02416.x
   AUSTIN MP, 1990, ECOL MONOGR, V60, P161, DOI 10.2307/1943043
   Barbet-Massin M, 2012, METHODS ECOL EVOL, V3, P327, DOI 10.1111/j.2041-210X.2011.00172.x
   Bastin JF, 2019, SCIENCE, V365, P76, DOI 10.1126/science.aax0848
   Beaumont LJ, 2016, ECOL MODEL, V342, P135, DOI 10.1016/j.ecolmodel.2016.10.004
   Belletti B, 2020, NATURE, V588, P436, DOI 10.1038/s41586-020-3005-2
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Boivin NL, 2016, P NATL ACAD SCI USA, V113, P6388, DOI 10.1073/pnas.1525200113
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Bonacci O., 2008, HYDROL FORECAST
   Bonacci O, 2010, ENVIRON EARTH SCI, V59, P1661, DOI 10.1007/s12665-009-0148-8
   Boyd IL, 2013, SCIENCE, V342, P823, DOI 10.1126/science.1235773
   BRASIER CM, 1991, MYCOPATHOLOGIA, V115, P151, DOI 10.1007/BF00462219
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Buras A, 2020, DENDROCHRONOLOGIA, V61, DOI 10.1016/j.dendro.2020.125705
   Buras A, 2019, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.01986
   Cartisano R, 2013, BIOMASS BIOENERG, V54, P293, DOI 10.1016/j.biombioe.2012.10.023
   Chakraborty D, 2021, GEOSCI DATA J, V8, P121, DOI 10.1002/gdj3.110
   Chakraborty D, 2019, ECOGRAPHY, V42, P88, DOI 10.1111/ecog.03888
   Charles Heather, 2007, V193, P217
   Chauvier Y, 2021, ECOL MONOGR, V91, DOI 10.1002/ecm.1433
   Copenhaver-Parry PE, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1853
   Diekmann M, 2015, BASIC APPL ECOL, V16, P563, DOI 10.1016/j.baae.2015.08.010
   Domisch S, 2019, DIVERS DISTRIB, V25, P758, DOI 10.1111/ddi.12891
   Dottori F, 2018, NAT CLIM CHANGE, V8, P781, DOI 10.1038/s41558-018-0257-z
   Dubrovsky M, 2014, REG ENVIRON CHANGE, V14, P1907, DOI 10.1007/s10113-013-0562-z
   Dubuis A, 2013, J VEG SCI, V24, P593, DOI 10.1111/jvs.12002
   Dukes JS, 2009, CAN J FOREST RES, V39, P231, DOI 10.1139/X08-171
   Dyakov NR, 2019, APPL ECOL ENV RES, V17, P1, DOI 10.15666/aeer/1701_001013
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   Velazco SJE, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0186025
   European Environment Agency, EU HYDR NETW DAT VER
   European Environment Agency, EU DEM V1 1 COP LAND
   Falk W, 2011, J VEG SCI, V22, P621, DOI 10.1111/j.1654-1103.2011.01294.x
   Finlayson C.M., 2005, Millennium ecosystem assessment
   Globevnik L., 2005, RMZ MAT GEOENVIRON, V52, P45
   Guisan A, 2005, ECOL LETT, V8, P993, DOI 10.1111/j.1461-0248.2005.00792.x
   Guisan A, 2007, DIVERS DISTRIB, V13, P332, DOI 10.1111/j.1472-4642.2007.00342.x
   Guisan A, 2013, ECOL LETT, V16, P1424, DOI 10.1111/ele.12189
   Habersack H., 2016, OSTERR WASSER-ABFAL, V68, P190, DOI [10.1007/s00506-016-0316-5, DOI 10.1007/s00506-016-0316-5]
   Hanberry BB, 2013, ECOL INFORM, V15, P8, DOI 10.1016/j.ecoinf.2013.02.003
   Hanel M, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-27464-4
   Hansen EM, 2008, BOREAL ENVIRON RES, V13, P33
   Havens K, 2015, NAT AREA J, V35, P122, DOI 10.3375/043.035.0116
   Heikkinen RK, 2006, PROG PHYS GEOG, V30, P751, DOI 10.1177/0309133306071957
   Hengl M., 2009, P 33 IAHR C WAT ENG
   Hulme PE, 2009, J APPL ECOL, V46, P10, DOI 10.1111/j.1365-2664.2008.01600.x
   Jones KR, 2018, SCIENCE, V360, P788, DOI 10.1126/science.aap9565
   Jönsson AM, 2009, GLOBAL CHANGE BIOL, V15, P486, DOI 10.1111/j.1365-2486.2008.01742.x
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Kevey B, 2019, SPRING GEOGR, P299, DOI 10.1007/978-3-319-92816-6_18
   Klimo E., 2008, FLOODPLAIN FORESTS T
   Konnert M., 2015, European Forest Genetic Resources Programme (EUFORGEN), P1
   Kowalski T, 2006, FOREST PATHOL, V36, P264, DOI 10.1111/j.1439-0329.2006.00453.x
   Leyer I, 2012, ECOL APPL, V22, P240, DOI 10.1890/11-0021.1
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Mainali KP, 2015, GLOBAL CHANGE BIOL, V21, P4464, DOI 10.1111/gcb.13038
   Marchi M, 2018, IFOREST, V11, P291, DOI 10.3832/ifor2441-011
   Mauri A, 2017, SCI DATA, V4, DOI 10.1038/sdata.2016.123
   Mellert KH, 2018, EUR J FOREST RES, V137, P79, DOI 10.1007/s10342-017-1092-x
   Meyerson LA, 2007, FRONT ECOL ENVIRON, V5, P199, DOI 10.1890/1540-9295(2007)5[199:IASIAE]2.0.CO;2
   Mikulová K, 2020, FORESTS, V11, DOI 10.3390/f11111218
   Mod HK, 2016, J VEG SCI, V27, P1308, DOI 10.1111/jvs.12444
   Nadal-Sala D, 2019, FOREST ECOL MANAG, V449, DOI 10.1016/j.foreco.2019.117448
   Naimi B, 2016, ECOGRAPHY, V39, P368, DOI 10.1111/ecog.01881
   Netsvetov M, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00096
   Nilsson C, 2000, BIOSCIENCE, V50, P783, DOI 10.1641/0006-3568(2000)050[0783:AORECB]2.0.CO;2
   Nisbet D, 2015, FOREST ECOL MANAG, V358, P165, DOI 10.1016/j.foreco.2015.08.030
   Panagos P., 2006, GEO CONNEXION, V5, P32
   Piedallu C, 2013, GLOBAL ECOL BIOGEOGR, V22, P470, DOI 10.1111/geb.12012
   PlantyTabacchi AM, 1996, CONSERV BIOL, V10, P598, DOI 10.1046/j.1523-1739.1996.10020598.x
   Porfirio LL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113749
   R Core Team, 2019, R LANG ENV STAT COMP
   Ramsfield TD, 2016, FORESTRY, V89, P245, DOI 10.1093/forestry/cpw018
   Richardson DM, 2007, DIVERS DISTRIB, V13, P126, DOI 10.1111/j.1366-9516.2006.00314.x
   Riis T, 2020, BIOSCIENCE, V70, P501, DOI 10.1093/biosci/biaa041
   Riordan E.C., USING SPECIES DISTRI
   Roces-Daíz JV, 2015, IFOREST, V8, DOI 10.3832/ifor1183-008
   Roder G, 2017, WEATHER CLIM SOC, V9, P717, DOI 10.1175/WCAS-D-16-0090.1
   Ruete A., 2015, PEERJ PREPR, V3, pE1478, DOI [10.7287/PEERJ.PREPRINTS.1208, DOI 10.7287/PEERJ.PREPRINTS.1208]
   Sanjou M, 2018, J FLOOD RISK MANAG, V11, DOI 10.1111/jfr3.12339
   Schnitzler A, 2005, BIODIVERS CONSERV, V14, P97, DOI 10.1007/s10531-005-4056-2
   Schnitzler A, 2007, BIOL CONSERV, V138, P146, DOI 10.1016/j.biocon.2007.04.010
   Schueler S, 2014, GLOBAL CHANGE BIOL, V20, P1498, DOI 10.1111/gcb.12476
   Seidl R, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-04096-w
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Serra-Diaz JM, 2018, FOR ECOSYST, V4, DOI 10.1186/s40663-017-0120-0
   Sikorska D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205838
   Silva LD, 2019, FORESTS, V10, DOI 10.3390/f10070575
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Takolander A, 2019, REG ENVIRON CHANGE, V19, P251, DOI 10.1007/s10113-018-1403-x
   Thompson I., 2009, A Synthesis of the Biodiversity/Resilience/Stability Relationship in Forest Ecosystems; Technical, V43, P1, DOI DOI 10.1126/SCIADV.1500936
   Thuiller W, 2004, J BIOGEOGR, V31, P353, DOI 10.1046/j.0305-0270.2003.00991.x
   Thuiller W, 2003, GLOBAL ECOL BIOGEOGR, V12, P313, DOI 10.1046/j.1466-822X.2003.00033.x
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   Titeux N, 2017, DIVERS DISTRIB, V23, P1393, DOI 10.1111/ddi.12634
   Tockner K, 2002, ENVIRON CONSERV, V29, P308, DOI 10.1017/S037689290200022X
   Van Liedekerke M., 2006, 19945 EUR COMM EUR
   Van Looy Kris, 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P330, DOI 10.1080/21513732.2017.1365773
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Venables W.N., 2002, MODERN APPL STAT S, V4th, DOI [10.1007/978-1-4757-2719-7_14, DOI 10.1007/978-1-4757-2719-7_14]
   Vilà M, 2017, INVAD NAT SPRING SER, V12, P1, DOI 10.1007/978-3-319-45121-3_1
   Vitková M, 2017, FOREST ECOL MANAG, V384, P287, DOI 10.1016/j.foreco.2016.10.057
   Von Holle B, 2005, ECOLOGY, V86, P3212, DOI 10.1890/05-0427
   Von Holle B, 2013, OECOLOGIA, V172, P915, DOI 10.1007/s00442-012-2543-1
   Walentowski H, 2017, ANN FOR RES, V60, P101, DOI 10.15287/afr.2016.789
   Walthert L, 2017, ECOL EVOL, V7, P9473, DOI 10.1002/ece3.3436
   Winsemius HC, 2016, NAT CLIM CHANGE, V6, P381, DOI [10.1038/nclimate2893, 10.1038/NCLIMATE2893]
   Yates KL, 2018, TRENDS ECOL EVOL, V33, P790, DOI 10.1016/j.tree.2018.08.001
   Zedler JB, 2004, CRIT REV PLANT SCI, V23, P431, DOI 10.1080/07352680490514673
NR 117
TC 11
Z9 11
U1 1
U2 8
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD MAR
PY 2021
VL 12
IS 3
AR 330
DI 10.3390/f12030330
PG 25
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA RD7RU
UT WOS:000633670900001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Mehdi, B
   Dekens, J
   Herrnegger, M
AF Mehdi, Bano
   Dekens, Julie
   Herrnegger, Mathew
TI Climatic impacts on water resources in a tropical catchment in Uganda
   and adaptation measures proposed by resident stakeholders
SO CLIMATIC CHANGE
LA English
DT Article
DE Lake Bunyonyi; Ruhezamyenda; Climate change adaptation; COSERO;
   Hydrological modelling; Stakeholder workshop
AB The Ruhezamyenda catchment in Uganda includes a unique lake, Lake Bunyonyi, and is threatened by increasing social and environmental pressures. The COSERO hydrological model was used to assess the impact of climate change on future surface runoff and evapotranspiration in the Lake Bunyonyi catchment (381 km(2)). The model was forced with an ensemble of CMIP5 global climate model (GCM) simulations for the mid-term future (2041-2070) and for the far future (2071-2100), each with RCP4.5 and RCP8.5. In the Ruhezamyenda catchment, compared to 1971-2000, the median of all GCMs (for both RCPs) showed the mean monthly air temperature to increase by approximately 1.5 to 3.0 degrees C in the mid-term future and by roughly 2.0 to 4.5 degrees C in the far future. The mean annual precipitation is generally projected to increase, with future changes between -25 and +75% (RCP8.5). AET in the Lake Bunyonyi catchment was simulated to increase for the future by approximately +8 mm/month in the median of all GCMs for RCP8.5 for the far future. The runoff for future periods showed much uncertainty, but with an overall increasing trend. A combination of no-regrets adaptation options in the five categories of: governance; communication and capacity development; water, soil, land management and livelihoods improvement; data management; and research, was identified and validated with stakeholders, who also identified additional adaptation actions based on the model results. This study contributes to improving scientific knowledge on the impacts of climate change on water resources in Uganda with the purpose to support adaptation.
C1 [Mehdi, Bano; Herrnegger, Mathew] Univ Nat Resources & Life Sci, Vienna BOKU, Inst Hydrol & Water Management, Vienna, Austria.
   [Dekens, Julie] Int Inst Sustainable Dev IISD, Secretariat NAP Global Network, Winnipeg, MB, Canada.
C3 BOKU University
RP Mehdi, B (corresponding author), Univ Nat Resources & Life Sci, Vienna BOKU, Inst Hydrol & Water Management, Vienna, Austria.
EM bano.mehdi@boku.ac.at
RI Herrnegger, Mathew/ABA-6465-2021; Dekens, Julie/IZE-1201-2023; Mehdi,
   Bano/X-6098-2019
OI Herrnegger, Mathew/0000-0002-5388-2831; Mehdi-Schulz,
   Bano/0000-0003-1085-3683
FU University of Natural Resources and Life Sciences Vienna (BOKU); NAP
   Global Network
FX Open Access funding provided by University of Natural Resources and Life
   Sciences Vienna (BOKU). Funding for the research was provided by Austria
   through the NAP Global Network, the secretariat of which is hosted by
   the International Institute for Sustainable Development (IISD).
CR Adhikari U, 2015, T ASABE, V58, P1493
   Andersson L, 2013, CLIM DEV, V5, P217, DOI 10.1080/17565529.2013.812955
   [Anonymous], 1996, LIMNOLOGY CLIMATOLOG
   [Anonymous], 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
   [Anonymous], 2008, Global Aridity Index and PET Database v1 (Global_AI_PET_v1)
   Bornemann FJ, 2019, CLIMATIC CHANGE, V156, P365, DOI 10.1007/s10584-019-02499-2
   Call M, 2019, WORLD DEV, V115, P132, DOI 10.1016/j.worlddev.2018.11.009
   Carswell G, 2002, GEOGR J, V168, P130, DOI 10.1111/1475-4959.00043
   Christensen J.H., 2013, CLIMATE PHENOMENA TH
   Coffel ED, 2019, EARTHS FUTURE, V7, P967, DOI 10.1029/2019EF001247
   Crerar S, 2017, SCOPING FIELD MISSIO
   Eder G, 2005, HYDROL PROCESS, V19, P2339, DOI 10.1002/hyp.5888
   Gabiri G, 2019, SCI TOTAL ENVIRON, V653, P1052, DOI 10.1016/j.scitotenv.2018.10.430
   Giupponi C, 2014, WATER RESOUR MANAG, V28, P4795, DOI 10.1007/s11269-014-0776-y
   Grove A.T., 1996, LIMNOLOGY CLIMATOLOG, P95
   Haile GG, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001502
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   Hawkins E, 2011, CLIM DYNAM, V37, P407, DOI 10.1007/s00382-010-0810-6
   Herrnegger M, 2015, HYDROL EARTH SYST SC, V19, P4619, DOI 10.5194/hess-19-4619-2015
   Herrnegger M, 2018, J HYDROL, V556, P913, DOI 10.1016/j.jhydrol.2016.04.068
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Kiem AS, 2016, J WATER CLIM CHANGE, V7, P263, DOI 10.2166/wcc.2015.040
   Kikoyo DA, 2016, PHYS CHEM EARTH, V93, P37, DOI 10.1016/j.pce.2015.09.005
   Kizza C. L., 2017, Afr. Crop. Sci. J, V25, P43, DOI [10.4314/acsj.v25i1.4S, DOI 10.4314/ACSJ.V25I1.4S]
   Kling H, 2009, J HYDROL, V364, P163, DOI 10.1016/j.jhydrol.2008.10.015
   Kling H, 2015, HYDROLOG SCI J, V60, P1374, DOI 10.1080/02626667.2014.959956
   Kling H, 2014, J HYDROL-REG STUD, V1, P17, DOI 10.1016/j.ejrh.2014.05.002
   Li JJ, 2016, AFR GEOGR REV, V35, P247, DOI 10.1080/19376812.2016.1189836
   McSweeney C, 2010, B AM METEOROL SOC, V91, P157, DOI 10.1175/2009BAMS2826.1
   McSweeney C., 2012, UNDP Climate Change Country Profiles: Senegal
   Michelangeli PA, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL038401
   Mileham L, 2009, HYDROLOG SCI J, V54, P727, DOI 10.1623/hysj.54.4.727
   Mwanjalolo MGJ, 2018, LAND-BASEL, V7, DOI 10.3390/land7040132
   Nachtnebel HP, 1993, REPORT
   Natugonza V, 2016, AQUAT ECOSYST HEALTH, DOI [10.1080/14634988.2016.1142167, DOI 10.1080/14634988.2016.1142167]
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Osiru DSO, 2006, REPORT CROP FARMING
   Rukundo B, 2015, RUHEZAMYENDA CATCHME
   Stanzel Ph, 2008, IOP Confererence Series: Earth and Environmental Science, V4, DOI 10.1088/1755-1307/4/1/012005
   Stanzel P, 2018, CLIM SERV, V11, P36, DOI 10.1016/j.cliser.2018.05.003
   Sutcliffe JV, 2007, HYDROLOG SCI J, V52, P1316, DOI 10.1623/hysj.52.6.1316
   Sutcliffe J. V., 1999, HYDROLOGY NILE, V5
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Vrac M, 2012, NAT HAZARD EARTH SYS, V12, P2769, DOI 10.5194/nhess-12-2769-2012
   Vrac M, 2016, J GEOPHYS RES-ATMOS, V121, P5237, DOI 10.1002/2015JD024511
   Wilby RL, 2005, HYDROL PROCESS, V19, P3201, DOI 10.1002/hyp.5819
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
NR 49
TC 12
Z9 12
U1 0
U2 5
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 JAN
PY 2021
VL 164
IS 1-2
AR 10
DI 10.1007/s10584-021-02958-9
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA PZ6OB
UT WOS:000612858100010
OA hybrid
DA 2025-01-10
ER

PT J
AU Ngo, CC
   Poortvliet, PM
   Feindt, PH
AF Ngo, Chinh C.
   Poortvliet, P. Marijn
   Feindt, Peter H.
TI Examining the Effectiveness of Climate Change Communication with
   Adolescents in Vietnam: The Role of Message Congruency
SO WATER
LA English
DT Article
DE climate change; risk communication; message framing; construal level;
   adolescents
ID CONSTRUAL-LEVEL THEORY; LOSS-FRAMED MESSAGES; FEAR APPEALS;
   PSYCHOLOGICAL DISTANCE; PUBLIC SUPPORT; CHANGE IMPACTS; CHANGE RISK;
   FUTURE; BEHAVIOR; ADAPTATION
AB Climate change makes coastal communities more vulnerable to floods associated with storm surges and sea level rise, requiring both adaptation and mitigation measures. Moreover, proper understanding of flood risks and their potential impacts on climate change appears to be a communication challenge. In climate change communication, the effect of framing congruency on perception of risk, efficacy and behavioural intentions towards climate change adaptation and mitigation has received limited attention. Messages have not been congruent in framing risks associated with climate change. We define congruency as the coherent alignment of several aspects of message content. Messages are considered congruent when they provide recipients with consistent contents such as giving concrete and actionable advice, or by providing more abstract and general background information. This research focuses on climate change communication in fostering mitigation behaviours among adolescents in vulnerable locations in the global South. Based on Construal Level Theory, this paper investigates how message congruency affects the link between perceptions of climate change risk and efficacy and two predictors of behavioural change: perceived responsibility and mitigation intentions. We conducted an experiment to test the effect of congruent vs. incongruent risk communication among adolescents in highly vulnerable coastal communities in the Mekong Delta in Vietnam (N = 348). Multiple regression analysis found strong effects of congruency in message framing; when messages were congruent in the content, communicative interventions changed adolescents' perceptions and attitudes toward climate change mitigation more consistently. This research contributes both theoretically and practically to risk communication among adolescents and toward climate change mitigation behaviour.
C1 [Ngo, Chinh C.] Asian Management & Dev Inst, Res Ctr Disaster Risk Reduct & Climate Change, Hanoi 10000, Vietnam.
   [Ngo, Chinh C.; Poortvliet, P. Marijn] Wageningen Univ, Ctr Integrat Dev, Chairgrp Strateg Commun, Sub Dept Commun Philosophy & Technol, NL-6700 EW Wageningen, Netherlands.
   [Feindt, Peter H.] Humboldt Univ, Thaer Inst Agr & Hort Sci, Agr & Food Policy Grp, D-10099 Berlin, Germany.
C3 Wageningen University & Research; Humboldt University of Berlin
RP Ngo, CC (corresponding author), Asian Management & Dev Inst, Res Ctr Disaster Risk Reduct & Climate Change, Hanoi 10000, Vietnam.; Ngo, CC (corresponding author), Wageningen Univ, Ctr Integrat Dev, Chairgrp Strateg Commun, Sub Dept Commun Philosophy & Technol, NL-6700 EW Wageningen, Netherlands.
EM chinhnc@amdi.vn; marijn.poortvliet@wur.nl; peter.feindt@hu-berlin.de
RI Feindt, Peter/C-4874-2015
OI Feindt, Peter/0000-0002-5978-5944
FU InternationalDevelopment Research Centre (IDRC) [106707-001]
FX This research was funded by InternationalDevelopment Research Centre
   (IDRC), grant number 106707-001.
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ajzen I, 2011, PSYCHOL HEALTH, V26, P1113, DOI 10.1080/08870446.2011.613995
   American Red Cross (ARC) German Red Cross (GRC) Vietnam Red Cross (VNRC) and Asian Management and Development Institute (AMDI), 2013, BAS STUD CLIM SMART
   [Anonymous], 2005, COMM SUST PROD EFF P
   [Anonymous], 2007, HUM DEV REP 2007 08
   Bartlett S, 2008, ENVIRON URBAN, V20, P501, DOI 10.1177/0956247808096125
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Bernauer T, 2016, NAT CLIM CHANGE, V6, P680, DOI [10.1038/NCLIMATE2948, 10.1038/nclimate2948]
   Blanchet-Cohen N, 2008, ENVIRON EDUC RES, V14, P257, DOI 10.1080/13504620802156496
   Boateng I, 2012, J COAST CONSERV, V16, P25, DOI 10.1007/s11852-011-0165-0
   Brody SD, 2008, ENVIRON BEHAV, V40, P72, DOI 10.1177/0013916506298800
   Brügger A, 2015, NAT CLIM CHANGE, V5, P1031, DOI 10.1038/NCLIMATE2760
   Brügger A, 2020, GLOBAL ENVIRON CHANG, V60, DOI 10.1016/j.gloenvcha.2019.102023
   Brügger A, 2016, J ENVIRON PSYCHOL, V46, P125, DOI 10.1016/j.jenvp.2016.04.004
   Cacciatore MA, 2016, MASS COMMUN SOC, V19, P7, DOI 10.1080/15205436.2015.1068811
   Chapman DA, 2017, NAT CLIM CHANGE, V7, P850, DOI 10.1038/s41558-017-0021-9
   Chawla L., 2007, Environmental Education Research, V13, P437, DOI DOI 10.1080/13504620701581539
   Chu EK, 2016, ENVIRON POLICY GOV, V26, P439, DOI 10.1002/eet.1727
   Clemens M, 2016, J WATER CLIM CHANGE, V7, P365, DOI 10.2166/wcc.2015.004
   Covello V., 2001, Solutions to an Environment in Peril, P164
   Danner UN, 2008, BRIT J SOC PSYCHOL, V47, P245, DOI 10.1348/014466607X230876
   Dawson JF, 2014, J BUS PSYCHOL, V29, P1, DOI 10.1007/s10869-013-9308-7
   Duc N.T., 2010, KHOA HOC GIAO DUC, V61, P31
   Dung Dinh Thi Thuy., 2018, Journal of Science, V15, P168
   ENTMAN RM, 1993, J COMMUN, V43, P51, DOI 10.1111/j.1460-2466.1993.tb01304.x
   Feldman L, 2018, GLOBAL ENVIRON CHANG, V51, P54, DOI 10.1016/j.gloenvcha.2018.05.004
   Gitlin T., 2003, WHOLE WORLD IS WATCH
   Halkias G., 2013, Journal of Marketing Communications, V19, P182, DOI DOI 10.1080/13527266.2011.592346
   Hall JW, 2006, PHILOS T R SOC A, V364, P1027, DOI 10.1098/rsta.2006.1752
   Hart PS, 2014, SCI COMMUN, V36, P325, DOI 10.1177/1075547013520239
   Heck E., 2015, INDEP STUDY PROJ COL
   Holden Cathie., 2007, Teaching The Global Dimension: Key Principles and Effective Practice, P31
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   Intergovt Panel Climate Change, 1990, CLIMATE CHANGE: THE IPCC SCIENTIFIC ASSESSMENT, P1
   *IPCC, 1995, IMP AD MIT CLIM VAR
   IPCC, 2014, 5 ASS REP INT PAN CL
   Jones C, 2017, RISK ANAL, V37, P331, DOI 10.1111/risa.12601
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   Kidwell B, 2013, J CONSUM RES, V40, P350, DOI 10.1086/670610
   Kinzig AP, 2013, BIOSCIENCE, V63, P164, DOI 10.1525/bio.2013.63.3.5
   Lakoff G, 2010, ENVIRON COMMUN, V4, P70, DOI 10.1080/17524030903529749
   Phuong LTH, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11236775
   Leal W, 2019, CLIM CHANG MANAG, P1, DOI 10.1007/978-3-319-98294-6_1
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Liberman N, 2002, J EXP SOC PSYCHOL, V38, P523, DOI 10.1016/S0022-1031(02)00535-8
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Maloney EK, 2011, SOC PERSONAL PSYCHOL, V5, P206, DOI 10.1111/j.1751-9004.2011.00341.x
   Marinelife and Community Development Centre (MCD) and Asian Management and Development Institute (AMDI), 2016, BAS SURV PROJ YOUTH
   Milen D., 2011, Vulnerability, Risk Reduction and Adaption to Climate Change Viet Nam, Climate Change and Adaption Country Profile
   Ministry of Natural Resources and Environment (MONRE), 2017, 2 BIENN UPD REP VIET
   Ministry of Natural Resources and Environment (MONRE) Vietnam, 2012, KICH BAN BIEN DOI KH
   MONRE, 2016, KICH BAN BIEN DOI KH
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P64, DOI 10.1017/CBO9780511535871.006
   Moser SC, 2010, WIRES CLIM CHANGE, V1, P31, DOI 10.1002/wcc.11
   Nabi RL, 2018, SCI COMMUN, V40, P442, DOI 10.1177/1075547018776019
   Nerlich B, 2010, WIRES CLIM CHANGE, V1, P97, DOI 10.1002/wcc.002
   Ngo CC, 2020, J RISK RES, V23, P424, DOI 10.1080/13669877.2019.1591484
   Nguyen Thi Huong Tra., 2015, ETropic, V14, P111, DOI [DOI 10.25120/ETROPIC.14.1.2015.3373, 10.25120/ etropic.14.1.2015.3373]
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   O'Keefe DJ, 2012, HEALTH COMMUN, V27, P776, DOI 10.1080/10410236.2011.640974
   Ojala M, 2012, J ENVIRON PSYCHOL, V32, P225, DOI 10.1016/j.jenvp.2012.02.004
   Ouellette JA, 1998, PSYCHOL BULL, V124, P54, DOI 10.1037/0033-2909.124.1.54
   OXFAM Marinelife and Community Development Centre (MCD) and Asian Management and Development Institute (AMDI), 2013, BAS SURV KNOWL ATT P
   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]
   Reser J P., 2017, Oxford Research Encyclopedia of Climate Science, DOI DOI 10.1093/ACREFORE/9780190228620.013.386
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Roser-Renouf C, 2014, CLIMATIC CHANGE, V125, P163, DOI 10.1007/s10584-014-1173-5
   Rothman AJ, 2006, J COMMUN, V56, pS202, DOI 10.1111/j.1460-2466.2006.00290.x
   Sala OE, 2000, SCIENCE, V287, P1770, DOI 10.1126/science.287.5459.1770
   Schill C, 2019, NAT SUSTAIN, V2, P1075, DOI 10.1038/s41893-019-0419-7
   Sheeran P., 2017, Journal of the Association for Consumer Research, V2, P309, DOI [DOI 10.1086/691216, 10.1086/691216]
   Sheffield PE, 2011, ENVIRON HEALTH PERSP, V119, P291, DOI 10.1289/ehp.1002233
   Sherman DK, 2006, MOTIV EMOTION, V30, P165, DOI 10.1007/s11031-006-9001-5
   Singh AS, 2017, ENVIRON SCI POLICY, V73, P93, DOI 10.1016/j.envsci.2017.04.011
   Smith RA, 2007, HEALTH COMMUN, V21, P55, DOI 10.1080/10410230701283389
   So JY, 2013, HEALTH COMMUN, V28, P72, DOI 10.1080/10410236.2012.708633
   Solomon S, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P1
   Spence A, 2012, RISK ANAL, V32, P957, DOI 10.1111/j.1539-6924.2011.01695.x
   Spence A, 2010, GLOBAL ENVIRON CHANG, V20, P656, DOI 10.1016/j.gloenvcha.2010.07.002
   Stevenson KT, 2014, CLIMATIC CHANGE, V126, P293, DOI 10.1007/s10584-014-1228-7
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Tho P.T.X., 2011, TAP CHI KHOA HOC DHS, V31
   Trope Y, 2003, PSYCHOL REV, V110, P403, DOI 10.1037/0033-295X.110.3.403
   Trope Y, 2010, PSYCHOL REV, V117, P440, DOI 10.1037/a0018963
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   UNFCCC, 2016, INT NAT DET CONTR VI
   UNFPA, 2016, DIEU TRA SO VA NHA G
   Updegraff JA, 2007, J EXP SOC PSYCHOL, V43, P249, DOI 10.1016/j.jesp.2006.01.007
   USAID, 2016, GREENH GAS EM VIETN
   Vousdoukas MI, 2018, NAT CLIM CHANGE, V8, P776, DOI 10.1038/s41558-018-0260-4
   WILSON D K, 1988, Health Education Research, V3, P161, DOI 10.1093/her/3.2.161
   Witte K, 2000, HEALTH EDUC BEHAV, V27, P591, DOI 10.1177/109019810002700506
   WITTE K, 1992, COMMUN MONOGR, V59, P329, DOI 10.1080/03637759209376276
   WITTE K, 1993, INT J INTERCULT REL, V17, P197, DOI 10.1016/0147-1767(93)90025-4
   Wolsko C, 2016, J EXP SOC PSYCHOL, V65, P7, DOI 10.1016/j.jesp.2016.02.005
   Yu H., 2015, IEEE T COMPUTERS, VPP, P1, DOI 10.1109/TC.2015.2389827
   Zwickle Adam., 2013, Effective Risk Communication, P1
NR 97
TC 4
Z9 5
U1 2
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD NOV
PY 2020
VL 12
IS 11
AR 3016
DI 10.3390/w12113016
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Water Resources
GA OZ1HF
UT WOS:000594685100001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Ekstrom, JA
   Moore, SK
   Klinger, T
AF Ekstrom, Julia A.
   Moore, Stephanie K.
   Klinger, Terrie
TI Examining harmful algal blooms through a disaster risk management lens:
   A case study of the 2015 US West Coast domoic acid event
SO HARMFUL ALGAE
LA English
DT Article
DE Harmful algal bloom; Domoic acid; Governance; Disaster risk management;
   Perceptions; Climate change; Adaptation
ID RESILIENCE; IMPACTS
AB The human dimensions of harmful algal blooms (HABs) are becoming increasingly apparent as they grow in frequency and magnitude in some regions of the world under changing ocean conditions. One such region is the U.S. West Coast, where HABs of toxigenic species of Pseudo-nitzschia have been found to coincide with or closely follow periods of warming. In 2015, the region experienced a massive HAB of Pseudo-nitzschia that was associated with the 2014-16 Northeast Pacific marine heatwave. The HAB event delayed the opening of the lucrative commercial Dungeness crab fishery for up to 5 months and closed the popular recreational razor clam fishery, resulting in fishery failures and disaster declarations and causing significant sociocultural and economic impacts to coastal communities. Here, management actions are examined that were taken by federal and state government agencies and responses of coastal residents to this extreme HAB event using a disaster risk management framework consisting of four phases: 1) prediction and early warning, 2) event response, 3) recovery and reconstruction, and 4) mitigation and prevention. Clear differences in management actions at the state level were evident in California, Oregon, and Washington during every phase, producing vastly different perceptions of management by coastal residents. A history of trusted relationships and coordination among agencies and with the fishing industry in Washington State was associated with more transparent and accepted management responses. The examination found that additional education, outreach, and trust-building exercises would provide benefits to communities affected by extreme HAB events. Our findings contribute to an understanding of climate change adaptation in coastal communities dependent on fishery resources.
C1 [Ekstrom, Julia A.] Univ Calif Davis, Policy Inst Energy Environm & Econ, One Shields Ave, Davis, CA 95616 USA.
   [Moore, Stephanie K.] NOAA, Environm & Fisheries Sci Div, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, 2725 Montlake Blvd E, Seattle, WA 98112 USA.
   [Klinger, Terrie] Univ Washington, Sch Marine & Environm Affairs, 3707 Brooklyn Ave NE, Seattle, WA 98105 USA.
   [Ekstrom, Julia A.] Calif Dept Water Resources, 1416 9th St, Sacramento, CA 95814 USA.
C3 University of California System; University of California Davis;
   National Oceanic Atmospheric Admin (NOAA) - USA; University of
   Washington; University of Washington Seattle
RP Ekstrom, JA (corresponding author), Univ Calif Davis, Policy Inst Energy Environm & Econ, One Shields Ave, Davis, CA 95616 USA.; Ekstrom, JA (corresponding author), Calif Dept Water Resources, 1416 9th St, Sacramento, CA 95814 USA.
EM jaekstrom@gmail.com
OI Ekstrom, Julia/0000-0003-1060-5276; Moore, Stephanie/0000-0003-3319-5070
FU JPB Foundation; JPB Environmental Health Fellowship - JPB Foundation
FX This work was supported by the JPB Foundation and a JPB Environmental
   Health Fellowship award granted by The JPB Foundation and managed by the
   Harvard T. H. Chan School of Public Health. [CG]
CR Anderson CR, 2016, HARMFUL ALGAE, V59, P1, DOI 10.1016/j.hal.2016.08.006
   Backer LC., 2012, ENV POLLUTION ITS RE, P485
   Baird A., 1975, EXPLANATION REDUCTIO
   Bauer M, 2010, FRONT ECOL ENVIRON, V8, P75, DOI 10.1890/070181
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Bograd SJ, 2003, DEEP-SEA RES PT II, V50, P2349, DOI 10.1016/S0967-0645(03)00122-X
   Carter W.Nick., 2008, Disaster Management: A Disaster Manager's Handbook
   Chadsey M, 2012, COAST MANAGE, V40, P33, DOI 10.1080/08920753.2011.639865
   Coetzee C, 2012, JAMBA-J DISASTER RIS, V4, DOI 10.4102/jamba.v4i1.54
   Cordasco KM, 2007, J HEALTH CARE POOR U, V18, P277, DOI 10.1353/hpu.2007.0028
   Franks D.M., 2010, Impact Assessment and Project Appraisal, V28, P299, DOI DOI 10.3152/146155110X12838715793129
   Frawley TH, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00078
   Fryxell GA, 1997, PHYCOLOGIA, V36, P419, DOI 10.2216/i0031-8884-36-6-419.1
   Glibert Patricia M., 2005, Oceanography, V18, P136
   HALLEGRAEFF GM, 1993, PHYCOLOGIA, V32, P79, DOI 10.2216/i0031-8884-32-2-79.1
   Hallegraeff GM, 2010, J PHYCOL, V46, P220, DOI 10.1111/j.1529-8817.2010.00815.x
   Harvey C., 2019, ECOSYSTEM STATUS REP, P149, DOI DOI 10.25923/POED-KE21
   HORNER RA, 1993, HYDROBIOLOGIA, V269, P197
   Imperiale AJ, 2016, MT RES DEV, V36, P431, DOI 10.1659/MRD-JOURNAL-D-16-00027.1
   Lavell A, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P25
   Lefebvre KA, 2010, TOXICON, V56, P218, DOI 10.1016/j.toxicon.2009.05.034
   Lewitus AJ, 2012, HARMFUL ALGAE, V19, P133, DOI 10.1016/j.hal.2012.06.009
   McCabe RM, 2016, GEOPHYS RES LETT, V43, P10366, DOI 10.1002/2016GL070023
   McKibben SM, 2017, P NATL ACAD SCI USA, V114, P239, DOI 10.1073/pnas.1606798114
   Meissner P, 2013, TECHNOL FORECAST SOC, V80, P801, DOI 10.1016/j.techfore.2012.09.011
   Moore KM, 2020, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00803
   Moore S.K., 2019, HARMFUL ALGAE, V87
   Mumford JD, 2009, ICES J MAR SCI, V66, P950, DOI 10.1093/icesjms/fsp100
   Ocean Science Trust, 2016, FRAM SCI OPP HARMF A
   ODOA, 2017, FIN RUL AD DUNG CRAB
   Renn O., 1991, Communicating risks to the public: International perspectives, V4, P175, DOI [DOI 10.1007/978-94-009-1952-510, DOI 10.1007/978-94-009-1952-5_10, 10.1007/978-94-009-1952-5_10]
   Ritzman J, 2018, HARMFUL ALGAE, V80, P35, DOI 10.1016/j.hal.2018.09.002
   Sun J, 2011, LIMNOL OCEANOGR, V56, P829, DOI 10.4319/lo.2011.56.3.0829
   Tatters AO, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032116
   Trainer Vera L., 2005, Oceanography, V18, P228
   US FDA, 2019, U.S. Food and Drug Administration (FDA). National Shellfish Sanitation Program (NSSP), Guide for the Control of Molluscan Shellfish 2019 Revision
   Van Dolah ER, 2016, AQUAT ECOL, V50, P577, DOI 10.1007/s10452-015-9562-z
   Van Dolah FM, 2000, ENVIRON HEALTH PERSP, V108, P133, DOI 10.1289/ehp.00108s1133
   van Dongeren A, 2018, COAST ENG, V134, P2, DOI 10.1016/j.coastaleng.2017.10.007
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Wekell John C., 1994, Natural Toxins, V2, P197, DOI 10.1002/nt.2620020408
   Willis C, 2018, MAR POLICY, V97, P232, DOI 10.1016/j.marpol.2018.06.002
NR 42
TC 23
Z9 30
U1 3
U2 41
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1568-9883
EI 1878-1470
J9 HARMFUL ALGAE
JI Harmful Algae
PD APR
PY 2020
VL 94
AR 101740
DI 10.1016/j.hal.2020.101740
PG 13
WC Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Marine & Freshwater Biology
GA LN3BS
UT WOS:000532817900001
PM 32414499
OA hybrid
DA 2025-01-10
ER

PT J
AU Gold, DF
   Reed, PM
   Trindade, BC
   Characklis, GW
AF Gold, D. F.
   Reed, P. M.
   Trindade, B. C.
   Characklis, G. W.
TI Identifying Actionable Compromises: Navigating Multi-City Robustness
   Conflicts to Discover Cooperative Safe Operating Spaces for Regional
   Water Supply Portfolios
SO WATER RESOURCES RESEARCH
LA English
DT Article
DE safe operating space; deep uncertainty; multi-actor systems; regional
   water portfolio management; multi-stakeholder robustness tradeoffs;
   scenario discovery
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE POLICY PATHWAYS; DECISION-MAKING;
   OPTIMIZATION; MANAGEMENT; RESOURCES; TRANSFERS; SEARCH; DESIGN; RISK
AB Regional cooperation among water utilities can improve the robustness of urban water supply systems to challenging and deeply uncertain futures. Through coordination mechanisms such as water transfers and regional demand management, water utilities can improve the efficiency of resource allocation and delay the need for new infrastructure investments. Though cooperation provides utilities with the potential for reduced cost strategies for improving the reliability of their services, two important challenges are worthy of careful consideration. First, regional utilities often have to navigate robustness conflicts stemming from potential asymmetries in their risk exposure, demand dynamics, and the availability of supply resources. Second, successful implementation of candidate compromise water portfolios requires that cooperating utilities understand their operational tolerances to deviations from the recommended regional actions ("imperfect implementation"). This study contributes a framework for identifying compromises across regional robustness conflicts and quantifying tolerances to implementation uncertainties. The framework is demonstrated on a system of four interdependent but institutionally independent water utilities in the Research Triangle region of North Carolina that are confronting robustness conflicts given asymmetries in their vulnerabilities to growing demands and hydroclimatic uncertainties. Our findings highlight that seemingly balanced compromise management strategies can yield significant and potentially surprising unintended consequences that could degrade regional cooperation. Moreover, asymmetries in regional robustness can be amplified with modest deviations from their agreed upon actions. Results of this analysis are broadly applicable to water supply regionalization as a global challenge and provide insights for discovering robust compromises and safe operating spaces for multi-actor water supply systems.
C1 [Gold, D. F.; Reed, P. M.; Trindade, B. C.] Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA.
   [Characklis, G. W.] Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC 27515 USA.
C3 Cornell University; University of North Carolina; University of North
   Carolina Chapel Hill
RP Gold, DF (corresponding author), Cornell Univ, Dept Civil & Environm Engn, Ithaca, NY 14853 USA.
EM dfg42@cornell.edu
RI Gold, David/AAS-2902-2021; Reed, Patrick/E-4435-2014
OI Reed, Patrick/0000-0002-7963-6102; Gold, David/0000-0002-0854-1819
FU National Institute of Food and Agriculture, U.S. Department of
   Agriculture [2014-67003-22076]; U.S. National Science Foundation's
   Water, Sustainability, and Climate Program [1360442]; Directorate For
   Geosciences; Division Of Earth Sciences [1360442] Funding Source:
   National Science Foundation
FX Funding for this work was provided by the National Institute of Food and
   Agriculture, U.S. Department of Agriculture (WSC Agree-ment
   2014-67003-22076). Additional support was provided by the U.S. National
   Science Foundation's Water, Sustainability, and Climate Program (Award
   1360442). The views expressed in this work represent those of the
   authors and do not necessarily reflect the views or policies of the NSF
   or the USDA. We would also like to thank this journal's editors and the
   three anonymous reviewers for helping us improve this paper's clarity
   and content. All code and data for this project, including figure
   generation, can be found at
   https://github.com/dgoldri25/Actionable_Compromises.
CR [Anonymous], 2012, INVESTMENT DECISION
   [Anonymous], 2012, C EVOL COMPUT, DOI DOI 10.1162/EVCO_A_00075
   BANKES S, 1993, OPER RES, V41, P435, DOI 10.1287/opre.41.3.435
   Ben-Haim Y., 2006, Academic, DOI DOI 10.1016/B978-0-12-373552-2.X5000-0
   Beyer HG, 2007, COMPUT METHOD APPL M, V196, P3190, DOI 10.1016/j.cma.2007.03.003
   Bonzanigo L., 2018, Building the Resilience of WSS Utilities to Climate Change and Other Threats: A Road Map
   Borgomeo E, 2016, WATER RESOUR RES, V52, P622, DOI 10.1002/2015WR018164
   Borgonovo E, 2007, RELIAB ENG SYST SAFE, V92, P771, DOI 10.1016/j.ress.2006.04.015
   Brams SJ, 2001, GROUP DECIS NEGOT, V10, P287, DOI 10.1023/A:1011252808608
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Bryant B. P., 2010, THINKING INSIDE BOX
   Buchan E., 2011, City of raleigh's water shortage response plan
   Caldwell C, 2014, J WATER RES PLAN MAN, V140, P100, DOI 10.1061/(ASCE)WR.1943-5452.0000317
   Caro S, 2005, J MECH DESIGN, V127, P86, DOI 10.1115/1.1825047
   Carpenter SR, 2015, P NATL ACAD SCI USA, V112, P14384, DOI 10.1073/pnas.1511804112
   Characklis GW, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004424
   Chen W, 1996, J MECH DESIGN, V118, P478, DOI 10.1115/1.2826915
   Coello C. A. Coello, 2007, EVOLUTIONARY ALGORIT, V5
   Dessai S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P64
   Dittrich R, 2016, ECOL ECON, V122, P79, DOI 10.1016/j.ecolecon.2015.12.006
   Eker S, 2018, ENVIRON MODELL SOFTW, V105, P201, DOI 10.1016/j.envsoft.2018.03.029
   Friedman JH, 1999, STAT COMPUT, V9, P123, DOI 10.1023/A:1008894516817
   Gleick PH, 2018, P NATL ACAD SCI USA, V115, P8863, DOI 10.1073/pnas.1808893115
   Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967
   Gleick PH, 2002, NATURE, V418, P373, DOI 10.1038/418373a
   Goodwin L., 2015, Town of cary water shortage response plan
   Gorelick DE, 2018, J WATER RES PLAN MAN, V144, DOI 10.1061/(ASCE)WR.1943-5452.0000966
   Green G. P., 2000, International Journal of Water Resources Development, V16, P197, DOI 10.1080/07900620050003116
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Haimes YY, 1977, ADV WATER RESOUR, V1, P71, DOI 10.1016/0309-1708(77)90025-2
   HAMMOND PJ, 1976, ECONOMETRICA, V44, P793, DOI 10.2307/1913445
   He YH, 2018, STOCH ENV RES RISK A, V32, P3083, DOI 10.1007/s00477-018-1526-0
   Herman Jon, 2017, SALIB OPEN SOURCE PY
   Herman JD, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000509
   Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338
   Hughes J. A., 2013, ASSESSING WATER SYST
   ISRAEL M, 1995, NAT RESOUR J, V35, P1
   Jafarzadegan K, 2014, STOCH ENV RES RISK A, V28, P1343, DOI 10.1007/s00477-013-0841-8
   Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007
   Kirsch BR, 2013, J WATER RES PLAN MAN, V139, P396, DOI 10.1061/(ASCE)WR.1943-5452.0000287
   Kwakkel J., 2012, TU DELFT LIB
   Kwakkel Jan H., 2019, Futures & Foresight Science, V1, DOI 10.1002/ffo2.8
   Kwakkel J.H. Haasnoot., 2019, Supporting DMDU: A Taxonomy of Approaches and Tools, P355, DOI DOI 10.1007/978-3-030-05252-2_15
   Kwakkel JH, 2017, ENVIRON MODELL SOFTW, V96, P239, DOI 10.1016/j.envsoft.2017.06.054
   Kwakkel JH, 2016, ENVIRON MODELL SOFTW, V86, P168, DOI 10.1016/j.envsoft.2016.09.017
   Kwakkel JH, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000626
   Kwakkel JH, 2015, CLIMATIC CHANGE, V132, P373, DOI 10.1007/s10584-014-1210-4
   Lamontagne JR, 2019, NAT CLIM CHANGE, V9, P290, DOI 10.1038/s41558-019-0426-8
   Laumanns M, 2002, EVOL COMPUT, V10, P263, DOI 10.1162/106365602760234108
   Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472
   Lempert RJ, 2002, P NATL ACAD SCI USA, V99, P7309, DOI 10.1073/pnas.082081699
   LUND JR, 1995, J WATER RES PL-ASCE, V121, P41, DOI 10.1061/(ASCE)0733-9496(1995)121:1(41)
   Madani K., 2011, Proceeding of the 2011 International Conference on Environmental Science and Engineering, P192
   Madani K, 2014, GROUP DECIS NEGOT, V23, P579, DOI 10.1007/s10726-013-9345-7
   Madani K, 2011, WATER RESOUR MANAG, V25, P1949, DOI 10.1007/s11269-011-9783-4
   Madani K, 2010, J HYDROL, V381, P225, DOI 10.1016/j.jhydrol.2009.11.045
   Mahjouri N, 2013, WATER RESOUR MANAG, V27, P2125, DOI 10.1007/s11269-013-0279-2
   Maier HR, 2014, ENVIRON MODELL SOFTW, V62, P271, DOI 10.1016/j.envsoft.2014.09.013
   McPhail C, 2018, EARTHS FUTURE, V6, P169, DOI 10.1002/2017EF000649
   Nazemi A.A., 2014, Eos, Transactions American Geophysical Union, V95, P288, DOI DOI 10.1002/2014EO320007
   NCDENR, 2002, JORD LAK WAT SUPPL S
   Nicklow J, 2010, J WATER RES PLAN MAN, V136, P412, DOI 10.1061/(ASCE)WR.1943-5452.0000053
   Olmstead SM, 2010, REV ENV ECON POLICY, V4, P179, DOI 10.1093/reep/req004
   Palmer RN, 2009, J ENVIRON MANAGE, V90, P1703, DOI 10.1016/j.jenvman.2008.11.003
   Plischke E, 2013, EUR J OPER RES, V226, P536, DOI 10.1016/j.ejor.2012.11.047
   Popper S.W., 2019, Decision Making under Deep Uncertainty, P375
   Quinn JD, 2018, WATER RESOUR RES, V54, P4638, DOI 10.1029/2018WR022743
   Quinn JD, 2017, WATER RESOUR RES, V53, P7208, DOI 10.1002/2017WR020524
   Quinn JD, 2017, ENVIRON MODELL SOFTW, V92, P125, DOI 10.1016/j.envsoft.2017.02.017
   Read L, 2014, J ENVIRON MANAGE, V133, P343, DOI 10.1016/j.jenvman.2013.11.045
   Reed PM, 2013, ADV WATER RESOUR, V51, P438, DOI 10.1016/j.advwatres.2012.01.005
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Scheffer M, 2015, SCIENCE, V347, P1317, DOI 10.1126/science.aaa3769
   Sheikhmohammady M., 2008, BARGAINING CASPIAN S
   Sheikhmohammady M, 2010, GROUP DECIS NEGOT, V19, P149, DOI 10.1007/s10726-008-9121-2
   Starr M.K., 1963, Product design and decision theory, Prentice-Hall series in engineering design
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Thissen W, 2017, WATER RESOUR MANAG, V31, P703, DOI 10.1007/s11269-015-1198-1
   Trindade BC, 2017, ADV WATER RESOUR, V104, P195, DOI 10.1016/j.advwatres.2017.03.023
   VAUX HJ, 1984, WATER RESOUR RES, V20, P785, DOI 10.1029/WR020i007p00785
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Water O., 2010, ORANGE WATER SEWER A
   Watson AA, 2017, ENVIRON MODELL SOFTW, V89, P159, DOI 10.1016/j.envsoft.2016.12.001
   Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202
   Westbrook V., 2016, City of durham water shortage response plan
   Woodruff MJ, 2013, STRUCT MULTIDISCIP O, V48, P201, DOI 10.1007/s00158-013-0891-z
   Zeff HB, 2016, WATER RESOUR RES, V52, P7327, DOI 10.1002/2016WR018771
   Zeff HB, 2014, WATER RESOUR RES, V50, P4906, DOI 10.1002/2013WR015126
   Zhu JM, 2001, J MECH DESIGN, V123, P11, DOI 10.1115/1.1333095
NR 90
TC 41
Z9 47
U1 1
U2 32
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 NOV
PY 2019
VL 55
IS 11
BP 9024
EP 9050
DI 10.1029/2019WR025462
EA NOV 2019
PG 27
WC Environmental Sciences; Limnology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water
   Resources
GA MD4KF
UT WOS:000496181400001
OA Bronze
DA 2025-01-10
ER

PT J
AU Guerbois, C
   Brady, U
   de Swardt, AG
   Fabricius, C
AF Guerbois, Chloe
   Brady, Ute
   de Swardt, Abigail G.
   Fabricius, Christo
TI Nurturing ecosystem-based adaptations in South Africa's Garden Route: a
   common pool resource governance perspective
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Coastal resilience; Climate change adaptation; Design principles;
   Robustness framework; Ecological infrastructure; Congruence; LTSER
ID SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE; MANAGEMENT; INSTITUTIONS;
   CHALLENGES; ROBUSTNESS
AB Increasing human demands for ecosystem services due to climate change, population growth, poverty, lack of employment, tourism, and concomitant coastal property development threatens adaptive capacity in South Africa's coastlines. Adaptation strategies frequently propose ecosystem-based adaptation (EBA) as a model for transformative change. However, several studies point to difficulties implementing EBA across the world. The aim of this paper is to assess to what extent social-ecological systems approaches and common pool resource (CPR) governance theories could inform EBA. Data obtained from interviews and surveys with policy makers and residents in South Africa's Garden Route District were interpreted using the robustness framework (RF) and the design principles (DPs), two common tools for analyzing CPR governance. We found that the Garden Route coast is threatened by negative interactions between hard public and private infrastructures and ecological infrastructures (the cornerstone of EBA) which are driven by weak local government bodies and asymmetrical power relations. By coding the data for elements/interactions within the RF and then identifying and mapping the DPs onto the RF, we also revealed ways to leverage transformative EBA in the Garden Route. Our analyses suggest that the interactions between human-made and ecological infrastructures, as well as power relation, should be at the core of any development debate. Trade-offs should aim for maximum congruence between sustainability and equity in ecosystem services provisioning. This paper provides some considerations for researchers and decision makers to leverage transformative EBA that could potentially apply to areas experiencing similar challenges.
C1 [Guerbois, Chloe; de Swardt, Abigail G.; Fabricius, Christo] Nelson Mandela Univ, Sustainabil Res Unit, George Campus,POB 6531, ZA-6530 George, South Africa.
   [Brady, Ute] Arizona State Univ, Sch Human Evolut & Social Change, Ctr Behav Inst & Environm, Tempe, AZ USA.
   [Fabricius, Christo] World Wildlife Fund, 1250 24th St,NW, Washington, DC 20037 USA.
C3 Nelson Mandela University; Arizona State University; Arizona State
   University-Tempe; World Wildlife Fund
RP Guerbois, C (corresponding author), Nelson Mandela Univ, Sustainabil Res Unit, George Campus,POB 6531, ZA-6530 George, South Africa.
EM chloe.guerbois@mandela.ac.za; ubrady@asu.edu;
   abigail.deswardt@hotmail.com; christo.fabricius@mandela.ac.za
RI Brady, Ute/JDW-3249-2023
OI Fabricius, Christo/0000-0003-2223-5671; Brady, Ute/0000-0002-9350-5037;
   Guerbois, Chloe/0000-0003-3746-0548
FU National Research Foundation of South Africa under the Belmont Forum
   agreement [UID 86974]
FX This work is based on the research supported in part by the National
   Research Foundation of South Africa (grant number: UID 86974) under the
   Belmont Forum agreement.
CR Anderies JM, 2004, ECOL SOC, V9
   Anderies JM, 2016, INT J COMMONS, V10, P495, DOI 10.18352/ijc.651
   Anderies JM, 2015, B MATH BIOL, V77, P259, DOI 10.1007/s11538-014-0030-z
   Anderies JM, 2013, POLICY STUD J, V41, P513, DOI 10.1111/psj.12027
   [Anonymous], 2017, AMBIO, DOI DOI 10.1007/s13280-016-0800-y
   [Anonymous], 2010, W CAP RISK DEV ANN R
   [Anonymous], 2014, FRAM INV EC INFR S A
   [Anonymous], THESIS
   [Anonymous], 2009, PROPERTY RIGHTS LAND
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Baggio JA, 2016, INT J COMMONS, V10, P417, DOI 10.18352/ijc.634
   Baird J, 2014, GLOBAL ENVIRON CHANG, V27, P51, DOI 10.1016/j.gloenvcha.2014.04.019
   Barbier EB, 2008, SCIENCE, V319, P321, DOI 10.1126/science.1150349
   Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1
   Carey M, 2012, J HIST GEOGR, V38, P181, DOI 10.1016/j.jhg.2011.12.002
   Celliers L., 2009, A User-friendly Guide to South Africa's Integrated Coastal Management Act
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Cox M, 2010, ECOL SOC, V15
   DEA, 2016, S AFR NAT AD STRAT
   Faling W, 2012, DEV SO AFR, V29, P241, DOI 10.1080/0376835X.2012.675695
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Glavovic BC, 2006, OCEAN COAST MANAGE, V49, P889, DOI 10.1016/j.ocecoaman.2006.04.008
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Heider L, 2018, THESIS
   Irlich UM, 2017, BOTHALIA, V47, DOI 10.4102/abc.v47i2.2156
   Johnson RB, 2007, J MIX METHOD RES, V1, P112, DOI 10.1177/1558689806298224
   Lee JA, 2014, SUSTAINABILITY-BASEL, V6, P7564, DOI 10.3390/su6117564
   Leslie HM, 2007, FRONT ECOL ENVIRON, V5, P540, DOI 10.1890/1540-9295(2007)5[540:CTCOIM]2.0.CO;2
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Moser SC, 2012, ANNU REV ENV RESOUR, V37, P51, DOI 10.1146/annurev-environ-021611-135158
   Mudombi S, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.292
   Nel JL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095942
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Ostrom E., 1992, CRAFTING I SELF GOVE
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15176, DOI 10.1073/pnas.0701886104
   Pasquini L, 2015, ENVIRON DEV SUSTAIN, V17, P1121, DOI 10.1007/s10668-014-9594-x
   Pasquini L, 2015, CLIM DEV, V7, P60, DOI 10.1080/17565529.2014.886994
   Quinn T, 2018, ECOL SOC, V23, DOI 10.5751/ES-10004-230239
   Reid H, 2016, CLIM DEV, V8, P4, DOI 10.1080/17565529.2015.1034233
   Reyers B, 2015, P NATL ACAD SCI USA, V112, P7362, DOI 10.1073/pnas.1414374112
   Sitas N, 2014, LANDSCAPE ECOL, V29, P1315, DOI 10.1007/s10980-013-9952-3
   Sitas N, 2014, SUSTAINABILITY-BASEL, V6, P3802, DOI 10.3390/su6063802
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Timmermans W., 2012, SWARMING LANDSCAPES, P43
   Tinley K.L., 1985, Coastal dunes of South Africa
   Western Cape Province, 2017, STATE ENV OUTLOOK RE
   Woods M, 2016, SOC SCI COMPUT REV, V34, P597, DOI 10.1177/0894439315596311
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 50
TC 9
Z9 10
U1 1
U2 19
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 1849
EP 1863
DI 10.1007/s10113-019-01508-5
PG 15
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:000488930500003
DA 2025-01-10
ER

PT J
AU Kellermann, V
   van Heerwaarden, B
AF Kellermann, Vanessa
   van Heerwaarden, Belinda
TI Terrestrial insects and climate change: adaptive responses in key traits
SO PHYSIOLOGICAL ENTOMOLOGY
LA English
DT Article
DE Climate change; CTmax; evolutionary potential; fitness; heat;
   heritability; latitude; phenology; phenotypic plasticity; stress
   resistance; thermal performance curves; upper thermal limits
ID THERMAL PERFORMANCE CURVES; RAIN-FOREST DROSOPHILA; DESICCATION
   RESISTANCE; GENETIC-VARIATION; LOCAL ADAPTATION; REACTION NORMS;
   HEAT-STRESS; PHENOLOGICAL RESPONSES; PHOTOPERIODIC RESPONSE; PHENOTYPIC
   PLASTICITY
AB Understanding and predicting how adaptation will contribute to species' resilience to climate change will be paramount to successfully managing biodiversity for conservation, agriculture, and human health-related purposes. Making predictions that capture how species will respond to climate change requires an understanding of how key traits and environmental drivers interact to shape fitness in a changing world. Current trait-based models suggest that low- to mid-latitude populations will be most at risk, although these models focus on upper thermal limits, which may not be the most important trait driving species' distributions and fitness under climate change. In this review, we discuss how different traits (stress, fitness and phenology) might contribute and interact to shape insect responses to climate change. We examine the potential for adaptive genetic and plastic responses in these key traits and show that, although there is evidence of range shifts and trait changes, explicit consideration of what underpins these changes, be that genetic or plastic responses, is largely missing. Despite little empirical evidence for adaptive shifts, incorporating adaptation into models of climate change resilience is essential for predicting how species will respond under climate change. We are making some headway, although more data are needed, especially from taxonomic groups outside of Drosophila, and across diverse geographical regions. Climate change responses are likely to be complex, and such complexity will be difficult to capture in laboratory experiments. Moving towards well designed field experiments would allow us to not only capture this complexity, but also study more diverse species.
C1 [Kellermann, Vanessa; van Heerwaarden, Belinda] Monash Univ, Sch Biol Sci, Melbourne, Vic 3800, Australia.
C3 Monash University
RP Kellermann, V (corresponding author), Monash Univ, Sch Biol Sci, Melbourne, Vic 3800, Australia.
EM vanessa.kellermann@monash.edu
RI van Heerwaarden, Belinda/A-4515-2012; Kellermann, Vanessa/C-3908-2011
OI van Heerwaarden, Belinda/0000-0003-2435-2900; Kellermann,
   Vanessa/0000-0002-9859-9642
FU Australian Research Council; Monash University
FX We thank the Australian Research Council for funding to VK and BVH via
   their fellowship schemes and Monash University for their support via
   their women in science schemes. The authors declare that they have no
   conflicts of interest.
CR Addo-Bediako A, 2000, P ROY SOC B-BIOL SCI, V267, P739, DOI 10.1098/rspb.2000.1065
   Adler RF, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD010536
   Aggarwal DD, 2013, COMP BIOCHEM PHYS A, V166, P81, DOI 10.1016/j.cbpa.2013.05.012
   Alford L, 2012, J APPL ENTOMOL, V135, P332, DOI 10.1111/j.1439-0418.2011.01658.x
   Altermatt F, 2010, P ROY SOC B-BIOL SCI, V277, P1281, DOI 10.1098/rspb.2009.1910
   Anderson JT, 2014, HEREDITY, V112, P4, DOI 10.1038/hdy.2013.33
   Angilletta MJ, 2009, BIO HABIT, P1, DOI 10.1093/acprof:oso/9780198570875.001.1
   Auld JR, 2010, P ROY SOC B-BIOL SCI, V277, P503, DOI 10.1098/rspb.2009.1355
   Balanyá J, 2006, SCIENCE, V313, P1773, DOI 10.1126/science.1131002
   Bégin M, 2002, HEREDITY, V89, P473, DOI 10.1038/sj.hdy.6800168
   Bennett JM, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.22
   Bijlsma R, 2012, EVOL APPL, V5, P117, DOI 10.1111/j.1752-4571.2011.00214.x
   BLOWS MW, 1993, EVOLUTION, V47, P1255, DOI [10.2307/2409990, 10.1111/j.1558-5646.1993.tb02151.x]
   Bonebrake TC, 2010, P NATL ACAD SCI USA, V107, P12581, DOI 10.1073/pnas.0911841107
   Bozinovic F, 2016, J COMP PHYSIOL B, V186, P581, DOI 10.1007/s00360-016-0980-6
   Bozinovic F, 2011, PHYSIOL BIOCHEM ZOOL, V84, P543, DOI 10.1086/662551
   Bradshaw WE, 1997, ECOLOGY, V78, P969, DOI 10.1890/0012-9658(1997)078[0969:HODTAP]2.0.CO;2
   Bradshaw WE, 2001, P NATL ACAD SCI USA, V98, P14509, DOI 10.1073/pnas.241391498
   Bubliy OA, 2012, J EVOLUTION BIOL, V25, P1180, DOI 10.1111/j.1420-9101.2012.02506.x
   Bubliy OA, 2013, J EXP BIOL, V216, P4601, DOI 10.1242/jeb.092502
   Bubliy OA, 2012, FUNCT ECOL, V26, P245, DOI 10.1111/j.1365-2435.2011.01928.x
   Buckley LB, 2017, INTEGR COMP BIOL, V57, P988, DOI 10.1093/icb/icx032
   Buckley LB, 2016, GLOBAL CHANGE BIOL, V22, P3829, DOI 10.1111/gcb.13313
   Bujan J, 2016, ECOL EVOL, V6, P6282, DOI 10.1002/ece3.2355
   Bush A, 2016, ECOL LETT, V19, P1468, DOI 10.1111/ele.12696
   Caillon R, 2014, FUNCT ECOL, V28, P1449, DOI 10.1111/1365-2435.12288
   Calosi P, 2010, J ANIM ECOL, V79, P194, DOI 10.1111/j.1365-2656.2009.01611.x
   CAVICCHI S, 1985, GENETICS, V109, P665
   Chen C, 2014, B ENTOMOL RES, V104, P586, DOI 10.1017/S0007485314000352
   Chen IC, 2011, GLOBAL ECOL BIOGEOGR, V20, P34, DOI 10.1111/j.1466-8238.2010.00594.x
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Chirgwin E, 2015, GLOBAL CHANGE BIOL, V21, P3356, DOI 10.1111/gcb.12929
   Chown SL, 2011, J INSECT PHYSIOL, V57, P1070, DOI 10.1016/j.jinsphys.2011.05.004
   Chown SL, 2009, FUNCT ECOL, V23, P133, DOI 10.1111/j.1365-2435.2008.01481.x
   Clemson AS, 2016, J EVOLUTION BIOL, V29, P2447, DOI 10.1111/jeb.12969
   Cohen JM, 2018, NAT CLIM CHANGE, V8, P224, DOI 10.1038/s41558-018-0067-3
   Colinet H, 2015, ANNU REV ENTOMOL, V60, P123, DOI 10.1146/annurev-ento-010814-021017
   Cossins A. R., 1987, Temperature biology of animals.
   Couture JJ, 2012, GLOBAL CHANGE BIOL, V18, P3543, DOI 10.1111/gcb.12014
   David JR, 2005, J EVOLUTION BIOL, V18, P838, DOI 10.1111/j.1420-9101.2005.00914.x
   de la Vega GJ, 2017, OECOLOGIA, V185, P607, DOI 10.1007/s00442-017-3986-1
   Deutsch CA, 2008, P NATL ACAD SCI USA, V105, P6668, DOI 10.1073/pnas.0709472105
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   Diamond SE, 2017, BIOL J LINN SOC, V121, P248, DOI 10.1093/biolinnean/blw047
   Diamond SE, 2017, ANN NY ACAD SCI, V1389, P5, DOI 10.1111/nyas.13223
   Diamond SE, 2012, GLOBAL CHANGE BIOL, V18, P448, DOI 10.1111/j.1365-2486.2011.02542.x
   Diamond SE, 2011, ECOLOGY, V92, P1005, DOI 10.1890/i0012-9658-92-5-1005
   Dillon ME, 2010, NATURE, V467, P704, DOI 10.1038/nature09407
   Duffy GA, 2015, CURR OPIN INSECT SCI, V11, P84, DOI 10.1016/j.cois.2015.09.013
   Dworschak K, 2014, ECOL ENTOMOL, V39, P519, DOI 10.1111/een.12127
   Edney E. B., 1977, Zoophysiology Ecol, VNo. 9, P1
   Esperk T, 2016, J EVOLUTION BIOL, V29, P900, DOI 10.1111/jeb.12832
   Etterson JR, 2001, SCIENCE, V294, P151, DOI 10.1126/science.1063656
   Evans TG, 2015, CONSERV PHYSIOL, V3, DOI 10.1093/conphys/cov056
   Fallis LC, 2011, GENETICA, V139, P1331, DOI 10.1007/s10709-012-9635-z
   Forrest JRK, 2016, CURR OPIN INSECT SCI, V17, P49, DOI 10.1016/j.cois.2016.07.002
   Forrest JRK, 2011, ECOL MONOGR, V81, P469, DOI 10.1890/10-1885.1
   Fragata I, 2018, EPL-EUROPHYS LETT, V122, DOI 10.1209/0295-5075/122/38001
   GABRIEL W, 1992, J EVOLUTION BIOL, V5, P41, DOI 10.1046/j.1420-9101.1992.5010041.x
   GEHRING WJ, 1995, P NATL ACAD SCI USA, V92, P2994, DOI 10.1073/pnas.92.7.2994
   Ghalambor CK, 2006, INTEGR COMP BIOL, V46, P5, DOI 10.1093/icb/icj003
   Gibbs AG, 2003, J EXP BIOL, V206, P1183, DOI 10.1242/jeb.00233
   GILCHRIST GW, 1995, AM NAT, V146, P252, DOI 10.1086/285797
   Gilchrist GW, 1999, HEREDITY, V83, P15, DOI 10.1038/sj.hdy.6885330
   Grant PR, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0146
   Gunderson AR, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0401
   Han B, 2009, J HERED, V100, P251, DOI 10.1093/jhered/esn082
   Hangartner S, 2016, FUNCT ECOL, V30, P442, DOI 10.1111/1365-2435.12499
   Hemmings Z, 2017, AUSTRAL ENTOMOL, V56, P104, DOI 10.1111/aen.12215
   Hodgson JA, 2011, GLOBAL CHANGE BIOL, V17, P1289, DOI 10.1111/j.1365-2486.2010.02308.x
   Hoffmann AA, 1999, TRENDS ECOL EVOL, V14, P96, DOI 10.1016/S0169-5347(99)01595-5
   Hoffmann AA, 2003, J THERM BIOL, V28, P175, DOI 10.1016/S0306-4565(02)00057-8
   HOFFMANN AA, 1993, J EVOLUTION BIOL, V6, P643, DOI 10.1046/j.1420-9101.1993.6050643.x
   HOFFMANN AA, 1991, J INSECT PHYSIOL, V37, P757, DOI 10.1016/0022-1910(91)90110-L
   HOFFMANN AA, 1990, J INSECT PHYSIOL, V36, P885, DOI 10.1016/0022-1910(90)90176-G
   Hoffmann AA, 2018, INTEGR ZOOL, V13, P355, DOI 10.1111/1749-4877.12297
   Hoffmann AA, 2013, FUNCT ECOL, V27, P934, DOI 10.1111/j.1365-2435.2012.02036.x
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   Huang LH, 2007, J INSECT PHYSIOL, V53, P1199, DOI 10.1016/j.jinsphys.2007.06.011
   Huey RB, 2012, PHILOS T R SOC B, V367, P1665, DOI 10.1098/rstb.2012.0005
   Huey RB, 2001, AM NAT, V158, P204, DOI 10.1086/321314
   Husby A, 2011, PLOS BIOL, V9, DOI 10.1371/journal.pbio.1000585
   Izem R, 2005, AM NAT, V166, P277, DOI 10.1086/431314
   Jakobs R, 2015, J INSECT PHYSIOL, V79, P1, DOI 10.1016/j.jinsphys.2015.05.003
   JAMES AC, 1995, GENETICS, V140, P659
   Kearney M, 2009, FUNCT ECOL, V23, P528, DOI 10.1111/j.1365-2435.2008.01538.x
   Kellermann V, 2012, EVOLUTION, V66, P3377, DOI 10.1111/j.1558-5646.2012.01685.x
   Kellermann V, 2018, J EVOLUTION BIOL, V31, P1300, DOI 10.1111/jeb.13303
   Kellermann V, 2018, P ROY SOC B-BIOL SCI, V285, DOI 10.1098/rspb.2018.0048
   Kellermann V, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2017.0447
   Kellermann V, 2015, AM NAT, V186, P582, DOI 10.1086/683252
   Kellermann V, 2009, SCIENCE, V325, P1244, DOI 10.1126/science.1175443
   Kelly VE, 2012, PARKINSONS DIS-US, V2012, DOI [10.1073/pnas.1207553109, 10.1155/2012/918719]
   Kerr JT, 2015, SCIENCE, V349, P177, DOI 10.1126/science.aaa7031
   Ketola T, 2014, EVOLUTION, V68, P587, DOI 10.1111/evo.12285
   Kharouba HM, 2018, P NATL ACAD SCI USA, V115, P5211, DOI 10.1073/pnas.1714511115
   Kingsolver JG, 2011, INTEGR COMP BIOL, V51, P719, DOI 10.1093/icb/icr015
   Klepsatel P, 2013, EVOLUTION, V67, P3573, DOI 10.1111/evo.12221
   Kleynhans E, 2011, FRONT PHYSIOL, V2, DOI 10.3389/fphys.2011.00074
   Klockmann M, 2017, ECOL EVOL, V7, P10871, DOI 10.1002/ece3.3588
   Konvicka M, 2003, GLOBAL ECOL BIOGEOGR, V12, P403, DOI 10.1046/j.1466-822X.2003.00053.x
   Kramarz P, 2016, EVOL BIOL, V43, P356, DOI 10.1007/s11692-016-9375-6
   Kristensen TN, 2008, P NATL ACAD SCI USA, V105, P216, DOI 10.1073/pnas.0708074105
   Kristensen TN, 2015, EVOLUTION, V69, P803, DOI 10.1111/evo.12617
   Latimer CAL, 2011, J EVOLUTION BIOL, V24, P965, DOI 10.1111/j.1420-9101.2011.02227.x
   Lee SF, 2011, MOL ECOL, V20, P2973, DOI 10.1111/j.1365-294X.2011.05155.x
   Lenoir J, 2015, ECOGRAPHY, V38, P15, DOI 10.1111/ecog.00967
   Lindroth R.L., 2017, GLOBAL CLIMATE CHANG
   MASAKI S, 1980, ANNU REV ENTOMOL, V25, P1, DOI 10.1146/annurev.en.25.010180.000245
   McLaughlin JF, 2002, P NATL ACAD SCI USA, V99, P6070, DOI 10.1073/pnas.052131199
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Merrill RM, 2008, J ANIM ECOL, V77, P145, DOI 10.1111/j.1365-2656.2007.01303.x
   Mitchell KA, 2010, FUNCT ECOL, V24, P694, DOI 10.1111/j.1365-2435.2009.01666.x
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   MORAN NA, 1992, AM NAT, V139, P971, DOI 10.1086/285369
   MOUSSEAU TA, 1987, HEREDITY, V59, P181, DOI 10.1038/hdy.1987.113
   Muñoz-Valencia V, 2016, ENTOMOL EXP APPL, V160, P147, DOI 10.1111/eea.12466
   Murren CJ, 2015, HEREDITY, V115, P293, DOI 10.1038/hdy.2015.8
   Murren CJ, 2014, AM NAT, V183, P453, DOI 10.1086/675302
   Nooten SS, 2017, CLIMATIC CHANGE, V144, P237, DOI 10.1007/s10584-017-2037-6
   O'Brien EK, 2017, GLOBAL CHANGE BIOL, V23, P1847, DOI 10.1111/gcb.13553
   Olfert O, 2018, CAN ENTOMOL, V150, P66, DOI 10.4039/tce.2017.51
   Oostra V, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03384-9
   Overgaard J, 2014, GLOBAL CHANGE BIOL, V20, P1738, DOI 10.1111/gcb.12521
   Parkash R, 1999, J ZOOL SYST EVOL RES, V37, P195
   Parkash R, 2012, J EXP BIOL, V215, P2181, DOI 10.1242/jeb.065730
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 2000, B AM METEOROL SOC, V81, P443, DOI 10.1175/1520-0477(2000)081<0443:IOEWAC>2.3.CO;2
   Penick CA, 2017, FUNCT ECOL, V31, P1091, DOI 10.1111/1365-2435.12818
   Petavy G, 2001, J THERM BIOL, V26, P29, DOI 10.1016/S0306-4565(00)00022-X
   Piersma T, 2003, TRENDS ECOL EVOL, V18, P228, DOI 10.1016/S0169-5347(03)00036-3
   Piiroinen S, 2011, FUNCT ECOL, V25, P527, DOI 10.1111/j.1365-2435.2010.01804.x
   Pincebourde S, 2016, INTEGR COMP BIOL, V56, P85, DOI 10.1093/icb/icw014
   Porcelli D, 2017, J EVOLUTION BIOL, V30, P422, DOI 10.1111/jeb.13018
   Ragland GJ, 2008, EVOLUTION, V62, P1345, DOI 10.1111/j.1558-5646.2008.00367.x
   Ranga P, 2017, EVOL ECOL, V31, P93, DOI 10.1007/s10682-016-9880-1
   Roff D. A., 1997, EVOLUTIONARY QUANTIT
   Roff DA, 1996, Q REV BIOL, V71, P3, DOI 10.1086/419266
   Roy DB, 2000, GLOB CHANGE BIOL, V6, P407, DOI 10.1046/j.1365-2486.2000.00322.x
   Roy J, 2018, OECOLOGIA, V187, P851, DOI 10.1007/s00442-018-4166-7
   Sarup P, 2009, J EVOLUTION BIOL, V22, P1111, DOI 10.1111/j.1420-9101.2009.01725.x
   Saxon AD, 2018, J EVOLUTION BIOL, V31, P405, DOI 10.1111/jeb.13231
   Schilthuizen M, 2014, EVOL APPL, V7, P56, DOI 10.1111/eva.12116
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Schou MF, 2014, J EVOLUTION BIOL, V27, P1859, DOI 10.1111/jeb.12436
   Schou MF, 2017, MOL ECOL, V26, P6510, DOI 10.1111/mec.14262
   Schultheiss P, 2013, AUSTRAL ECOL, V38, P942, DOI 10.1111/aec.12037
   Seebacher F, 2015, NAT CLIM CHANGE, V5, P61, DOI 10.1038/NCLIMATE2457
   Sgrò CM, 2010, J EVOLUTION BIOL, V23, P2484, DOI 10.1111/j.1420-9101.2010.02110.x
   Sgrò CM, 2016, ANNU REV ENTOMOL, V61, P433, DOI 10.1146/annurev-ento-010715-023859
   Sgrò CM, 2003, EVOLUTION, V57, P1846
   Siepielski AM, 2017, SCIENCE, V355, P959, DOI 10.1126/science.aag2773
   Sinclair BJ, 2016, ECOL LETT, V19, P1372, DOI 10.1111/ele.12686
   Sorensen JG, 2016, CURR OPIN INSECT SCI, V17, P98, DOI 10.1016/j.cois.2016.08.003
   SOTA T, 1993, APPL ENTOMOL ZOOL, V28, P161, DOI 10.1303/aez.28.161
   Stillman JH, 2003, SCIENCE, V301, P65, DOI 10.1126/science.1083073
   Tejeda MT, 2016, EVOLUTION, V70, P2583, DOI 10.1111/evo.13070
   Telonis-Scott M, 2006, J EXP BIOL, V209, P1837, DOI 10.1242/jeb.02201
   Telonis-Scott M, 2014, MOL ECOL, V23, P6135, DOI 10.1111/mec.13000
   Terblanche JS, 2011, J EXP BIOL, V214, P3713, DOI 10.1242/jeb.061283
   Thackeray SJ, 2016, NATURE, V535, P241, DOI 10.1038/nature18608
   Nguyen TM, 2013, J INSECT PHYSIOL, V59, P248, DOI 10.1016/j.jinsphys.2012.12.001
   Thomas CD, 2001, NATURE, V411, P577, DOI 10.1038/35079066
   Tufto J, 2000, AM NAT, V156, P121, DOI 10.1086/303381
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Urbanski J, 2012, AM NAT, V179, P490, DOI 10.1086/664709
   van Asch M, 2013, NAT CLIM CHANGE, V3, P244, DOI [10.1038/NCLIMATE1717, 10.1038/nclimate1717]
   van Heerwaarden B, 2016, FUNCT ECOL, V30, P1947, DOI 10.1111/1365-2435.12687
   van Heerwaarden B, 2016, EVOLUTION, V70, P456, DOI 10.1111/evo.12843
   van Heerwaarden B, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.0396
   VANTIENDEREN PH, 1991, EVOLUTION, V45, P1317, DOI [10.1111/j.1558-5646.1991.tb02638.x, 10.2307/2409882]
   VIA S, 1985, EVOLUTION, V39, P505, DOI [10.2307/2408649, 10.1111/j.1558-5646.1985.tb00391.x]
   Visser ME, 2008, P ROY SOC B-BIOL SCI, V275, P649, DOI 10.1098/rspb.2007.0997
   Wade RN, 2017, FUNCT ECOL, V31, P1647, DOI 10.1111/1365-2435.12858
   Weldon CW, 2016, FRONT ZOOL, V13, DOI 10.1186/s12983-016-0147-z
   Wiens JJ, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.2001104
   Yin WD, 2018, J INSECT PHYSIOL, V107, P276, DOI 10.1016/j.jinsphys.2017.12.002
   Yoder JA, 2009, J INSECT SCI, V9, DOI 10.1673/031.009.6801
   Zeh JA, 2012, GLOBAL CHANGE BIOL, V18, P1833, DOI 10.1111/j.1365-2486.2012.02640.x
   Zhao F, 2017, J INSECT PHYSIOL, V99, P1, DOI 10.1016/j.jinsphys.2017.03.003
   Zhu H, 2015, SCI REP-UK, V5, DOI 10.1038/srep18654
   Zhu H, 2014, ECOL ENTOMOL, V39, P453, DOI 10.1111/een.12120
NR 182
TC 127
Z9 139
U1 15
U2 117
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0307-6962
EI 1365-3032
J9 PHYSIOL ENTOMOL
JI Physiol. Entomol.
PD JUN
PY 2019
VL 44
IS 2
BP 99
EP 115
DI 10.1111/phen.12282
PG 17
WC Entomology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Entomology
GA HX5WH
UT WOS:000467474600004
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Chenu, C
   Angers, DA
   Barré, P
   Derrien, D
   Arrouays, D
   Balesdent, J
AF Chenu, Claire
   Angers, Denis A.
   Barre, Pierre
   Derrien, Delphine
   Arrouays, Dominique
   Balesdent, Jerome
TI Increasing organic stocks in agricultural soils: Knowledge gaps and
   potential innovations
SO SOIL & TILLAGE RESEARCH
LA English
DT Article
DE Carbon storage; Carbon sequestration; Carbon storage potential;
   Agricultural practices; 4 per 1000 initiative
ID ARBUSCULAR MYCORRHIZAL FUNGI; GREENHOUSE-GAS MITIGATION; CARBON
   SEQUESTRATION; NO-TILL; LITTER DECOMPOSITION; CROPPING SYSTEMS; FOREST
   SOILS; MATTER; DYNAMICS; STORAGE
AB Recent initiatives, such as the United Nations declaring 2015 as the International Year of Soils and the French "4 per 1000" initiative call attention on soils and on the importance of maintaining and increasing soil organic matter stocks for soil fertility and food security, and for climate change adaptation and mitigation. We stress that soil organic carbon storage (i.e. an increase of soil organic carbon stocks) should be clearly differentiated from soil organic carbon sequestration, as the latter assumes a net removal of atmospheric CO2. Implementing management options that allow increasing soil organic carbon stocks at the local scale raises several questions, which are discussed in this article: how can we increase SOC stocks, at which rate and for how long; where do we prioritize SOC storage; how do we estimate the potential gain in C and which agricultural practices should we implement? We show that knowledge and tools are available to answer many of these questions, while further research remains necessary for others. A range of agricultural practices would require a re-assessment of their potential to store C and a better understanding of the underlying processes, such as no tillage and conservation agriculture, irrigation, practices increasing below ground inputs, organic amendments, and N fertilization. The vision emerging from the literature, showing the prominent role of soil microorganisms in the stabilization of soil organic matter, draw the attention to more exploratory potential levers, through changes in microbial physiology or soil biodiversity induced by agricultural practices, that require in-depth research.
C1 [Chenu, Claire] Univ Paris Saclay, Ecosys, INRA AgroParisTech, Campus AgroParisTech, F-78850 Thiverval Grignon, France.
   [Angers, Denis A.] Agr & Agri Food Canada, Quebec Res & Dev Ctr, 2560 Blvd Hochelaga, Ste Foy, PQ G1V 2J3, Canada.
   [Barre, Pierre] PSL Res Univ, Lab Geol, ENS, UMR8538,CNRS, 24 Rue Lhomond, F-75231 Paris 05, France.
   [Derrien, Delphine] INRA, Biogeochim Ecosyst Forestiers, F-54280 Champenoux, France.
   [Arrouays, Dominique] INRA, Infosols, Unite InfoSol, F-45075 Orleans 02, France.
   [Balesdent, Jerome] Aix Marseille Univ, CEREGE, CNRS, IRD,Coll France,INRA, F-13545 Aix En Provence, France.
C3 Universite Paris Saclay; AgroParisTech; INRAE; Agriculture & Agri Food
   Canada; Universite PSL; Centre National de la Recherche Scientifique
   (CNRS); INRAE; Universite de Lorraine; INRAE; Institut de Recherche pour
   le Developpement (IRD); Universite PSL; College de France; Aix-Marseille
   Universite; Centre National de la Recherche Scientifique (CNRS); INRAE
RP Chenu, C (corresponding author), Univ Paris Saclay, Ecosys, INRA AgroParisTech, Campus AgroParisTech, F-78850 Thiverval Grignon, France.
EM claire.chenu@inra.fr
RI Chenu, Claire/ISB-3864-2023; Angers, Denis/AAA-9510-2019
OI Barre, Pierre/0000-0002-0822-0556; Derrien, Delphine/0000-0002-6482-2316
CR Alcantara V., 2017, SCI REP-UK, V7, P1
   Alcántara V, 2016, GLOBAL CHANGE BIOL, V22, P2939, DOI 10.1111/gcb.13289
   Angers DA, 2008, SOIL SCI SOC AM J, V72, P1370, DOI 10.2136/sssaj2007.0342
   Angers DA, 2011, SOIL USE MANAGE, V27, P448, DOI 10.1111/j.1475-2743.2011.00366.x
   ANGERS DA, 1989, CAN J SOIL SCI, V69, P373, DOI 10.4141/cjss89-037
   ARROUAYS D, 1995, PLANT SOIL, V173, P191, DOI 10.1007/BF00011455
   ARROUAYS D, 1994, PLANT SOIL, V160, P215, DOI 10.1007/BF00010147
   Aubert P. M., 2017, IMPLEMENTING 4 PER 1, P4
   Autret B, 2016, AGR ECOSYST ENVIRON, V232, P150, DOI 10.1016/j.agee.2016.07.008
   BALESDENT J, 1992, SOIL BIOL BIOCHEM, V24, P97, DOI 10.1016/0038-0717(92)90264-X
   Balesdent J., 2017, BIOTECHNOL AGRON SOC, P1
   Balesdent Jerome, 1999, Comptes Rendus de l'Academie d'Agriculture de France, V85, P265
   Basile-Doelsch I, 2015, ENVIRON SCI TECHNOL, V49, P3997, DOI 10.1021/acs.est.5b00650
   Bayer C, 2006, SOIL TILL RES, V91, P217, DOI 10.1016/j.still.2005.12.006
   Beare MH, 2014, BIOGEOCHEMISTRY, V120, P71, DOI 10.1007/s10533-014-9982-1
   Berhe AA, 2007, BIOSCIENCE, V57, P337, DOI 10.1641/B570408
   Berhe AA, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2011JG001790
   Blanco-Moure N, 2013, SOIL USE MANAGE, V29, P250, DOI 10.1111/sum.12039
   Blouin M, 2013, EUR J SOIL SCI, V64, P161, DOI 10.1111/ejss.12025
   Boddey RM, 2010, GLOBAL CHANGE BIOL, V16, P784, DOI 10.1111/j.1365-2486.2009.02020.x
   Bol R, 2009, RAPID COMMUN MASS SP, V23, P2551, DOI 10.1002/rcm.4124
   Bossuyt H, 2005, SOIL BIOL BIOCHEM, V37, P251, DOI 10.1016/j.soilbio.2004.07.035
   Campbell CA, 2000, CAN J SOIL SCI, V80, P179, DOI 10.4141/S99-028
   Campbell EE, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/123004
   Cardinael R, 2018, BIOGEOSCIENCES, V15, P297, DOI 10.5194/bg-15-297-2018
   Cardinael R, 2015, GEODERMA, V259, P288, DOI 10.1016/j.geoderma.2015.06.015
   Cardinael R, 2015, BIOGEOCHEMISTRY, V123, P203, DOI 10.1007/s10533-014-0063-2
   Carter MR, 2010, AGR ECOSYST ENVIRON, V136, P125, DOI 10.1016/j.agee.2009.12.005
   Chambers A, 2016, J SOIL WATER CONSERV, V71, p68A, DOI 10.2489/jswc.71.3.68A
   Chaopricha NT, 2014, SOIL BIOL BIOCHEM, V69, P251, DOI 10.1016/j.soilbio.2013.11.011
   Chen RR, 2014, GLOBAL CHANGE BIOL, V20, P2356, DOI 10.1111/gcb.12475
   Cheng L, 2012, SCIENCE, V337, P1084, DOI 10.1126/science.1224304
   Cheng WX, 2014, NEW PHYTOL, V201, P31, DOI 10.1111/nph.12440
   Chenu C, 2000, SOIL SCI SOC AM J, V64, P1479, DOI 10.2136/sssaj2000.6441479x
   Chenu C., 2015, SOIL MICROBIOLOGY EC, P383, DOI [10.1016/B978-0-12-415955-6.00013-X, DOI 10.1016/B978-0-12-415955-6.00013-X]
   Churchman GJ, 2014, PROGR SOIL SCI, P327, DOI 10.1007/978-3-319-04084-4_34
   Coleman K., 2014, HARPENDEN HERTS AL, VAL5
   Conant R.T., 2016, Global Environmental Change-Human and Policy Dimensions, V23, P240
   Cosentino D, 2006, SOIL BIOL BIOCHEM, V38, P2053, DOI 10.1016/j.soilbio.2005.12.022
   Cotrufo MF, 2013, GLOBAL CHANGE BIOL, V19, P988, DOI 10.1111/gcb.12113
   Derrien D, 2014, SOIL BIOL BIOCHEM, V76, P149, DOI 10.1016/j.soilbio.2014.04.030
   Dimassi B, 2014, AGR ECOSYST ENVIRON, V188, P134, DOI 10.1016/j.agee.2014.02.014
   Don A, 2008, SOIL BIOL BIOCHEM, V40, P1803, DOI 10.1016/j.soilbio.2008.03.003
   Dungait JAJ, 2012, GLOBAL CHANGE BIOL, V18, P1781, DOI 10.1111/j.1365-2486.2012.02665.x
   Fontaine S, 2007, NATURE, V450, P277, DOI 10.1038/nature06275
   Garg A., 2006, IPCC Guidelines for National Greenhouse Gas Inventories. -Prepared by the National Greenhouse Gas Inventories
   Gillman GP, 2002, APPL GEOCHEM, V17, P987, DOI 10.1016/S0883-2927(02)00078-1
   Grandy AS, 2008, SCI TOTAL ENVIRON, V404, P297, DOI 10.1016/j.scitotenv.2007.11.013
   Greenfield LG, 2013, SOIL BIOL BIOCHEM, V64, P122, DOI 10.1016/j.soilbio.2013.04.009
   Gregorich EG, 2001, CAN J SOIL SCI, V81, P21, DOI 10.4141/S00-041
   Haddaway NR, 2017, ENVIRON EVID, V6, DOI 10.1186/s13750-017-0108-9
   Hassink J, 1997, PLANT SOIL, V191, P77, DOI 10.1023/A:1004213929699
   Helgason BL, 2014, SOIL BIOL BIOCHEM, V68, P231, DOI 10.1016/j.soilbio.2013.10.002
   Henin S., 1945, Annales Agronomiques, V15, P17
   JENKINSON DS, 1977, SOIL SCI, V123, P298, DOI 10.1097/00010694-197705000-00005
   Jobbágy EG, 2000, ECOL APPL, V10, P423, DOI 10.2307/2641104
   Jonard M, 2017, SCI TOTAL ENVIRON, V574, P616, DOI 10.1016/j.scitotenv.2016.09.028
   Juarez S, 2013, EUR J SOIL BIOL, V58, P81, DOI 10.1016/j.ejsobi.2013.06.005
   Kallenbach CM, 2015, SOIL BIOL BIOCHEM, V91, P279, DOI 10.1016/j.soilbio.2015.09.005
   Kätterer T, 2011, AGR ECOSYST ENVIRON, V141, P184, DOI 10.1016/j.agee.2011.02.029
   Kell DB, 2012, PHILOS T R SOC B, V367, P1589, DOI 10.1098/rstb.2011.0244
   Kirkby CA, 2014, SOIL BIOL BIOCHEM, V68, P402, DOI 10.1016/j.soilbio.2013.09.032
   Kleber M, 2007, BIOGEOCHEMISTRY, V85, P9, DOI 10.1007/s10533-007-9103-5
   Kuzyakov Y, 2002, J PLANT NUTR SOIL SC, V165, P382, DOI 10.1002/1522-2624(200208)165:4<382::AID-JPLN382>3.0.CO;2-#
   Ladha JK, 2011, J ENVIRON QUAL, V40, P1756, DOI 10.2134/jeq2011.0064
   Lal R, 2008, PHILOS T R SOC B, V363, P815, DOI 10.1098/rstb.2007.2185
   Lal R, 2016, J SOIL WATER CONSERV, V71, p20A, DOI 10.2489/jswc.71.1.20A
   Lange M, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms7707
   Lashermes G, 2009, EUR J SOIL SCI, V60, P297, DOI 10.1111/j.1365-2389.2008.01110.x
   Le Quéré C, 2015, EARTH SYST SCI DATA, V7, P47, DOI 10.5194/essd-7-47-2015
   Lehmann J, 2015, NATURE, V528, P60, DOI 10.1038/nature16069
   Liang C, 2008, GEODERMA, V148, P113, DOI 10.1016/j.geoderma.2008.09.012
   Lilly A, 2013, SOIL USE MANAGE, V29, P39, DOI 10.1111/sum.12009
   Lu M, 2011, AGR ECOSYST ENVIRON, V140, P234, DOI 10.1016/j.agee.2010.12.010
   Lubbers IM, 2017, SOIL BIOL BIOCHEM, V105, P12, DOI 10.1016/j.soilbio.2016.11.008
   Lubbers IM, 2013, NAT CLIM CHANGE, V3, P187, DOI [10.1038/NCLIMATE1692, 10.1038/nclimate1692]
   Luo YQ, 2016, GLOBAL BIOGEOCHEM CY, V30, P40, DOI 10.1002/2015GB005239
   Luo ZK, 2010, AGR ECOSYST ENVIRON, V139, P224, DOI 10.1016/j.agee.2010.08.006
   Lutfalla S, 2014, BIOGEOCHEMISTRY, V118, P135, DOI 10.1007/s10533-013-9910-9
   Maillard É, 2014, GLOBAL CHANGE BIOL, V20, P666, DOI 10.1111/gcb.12438
   Martins MR, 2012, SOIL BIOL BIOCHEM, V50, P208, DOI 10.1016/j.soilbio.2012.03.024
   Mathieu JA, 2015, GLOBAL CHANGE BIOL, V21, P4278, DOI 10.1111/gcb.13012
   McNally SR, 2017, GLOBAL CHANGE BIOL, V23, P4544, DOI 10.1111/gcb.13720
   MELILLO JM, 1982, ECOLOGY, V63, P621, DOI 10.2307/1936780
   Menichetti L, 2015, AGR ECOSYST ENVIRON, V200, P79, DOI 10.1016/j.agee.2014.11.003
   Meurer KHE, 2018, EARTH-SCI REV, V177, P613, DOI 10.1016/j.earscirev.2017.12.015
   Milne E, 2007, AGR ECOSYST ENVIRON, V122, P3, DOI 10.1016/j.agee.2007.01.002
   Milne E, 2016, ENVIRON DEV, V19, P70, DOI 10.1016/j.envdev.2016.06.001
   Miltner A, 2012, BIOGEOCHEMISTRY, V111, P41, DOI 10.1007/s10533-011-9658-z
   Minasny B, 2018, GEODERMA, V309, P124, DOI 10.1016/j.geoderma.2017.05.026
   Minasny B, 2017, GEODERMA, V292, P59, DOI 10.1016/j.geoderma.2017.01.002
   Naudin K, 2012, EXP AGR, V48, P194, DOI 10.1017/S001447971100113X
   Northup RR, 1998, BIOGEOCHEMISTRY, V42, P189, DOI 10.1023/A:1005991908504
   Ogle SM, 2010, GLOBAL CHANGE BIOL, V16, P810, DOI 10.1111/j.1365-2486.2009.01951.x
   Olson KR, 2014, SOIL SCI SOC AM J, V78, P348, DOI 10.2136/sssaj2013.09.0412
   Oorts K, 2007, SOIL SCI SOC AM J, V71, P336, DOI 10.2136/sssaj2006.0203
   Pan GX, 2009, AGR ECOSYST ENVIRON, V129, P344, DOI 10.1016/j.agee.2008.10.008
   Paradelo R, 2015, AGR ECOSYST ENVIRON, V202, P98, DOI 10.1016/j.agee.2015.01.005
   PARTON WJ, 1987, SOIL SCI SOC AM J, V51, P1173, DOI 10.2136/sssaj1987.03615995005100050015x
   PARTON WJ, 1988, BIOGEOCHEMISTRY, V5, P109, DOI 10.1007/BF02180320
   Paustian K, 2016, NATURE, V532, P49, DOI 10.1038/nature17174
   Peichl M, 2006, AGROFOREST SYST, V66, P243, DOI 10.1007/s10457-005-0361-8
   Pellerin S., 2013, CAN FRENCH AGR CONTR, P80
   Pellerin S, 2017, ENVIRON SCI POLICY, V77, P130, DOI 10.1016/j.envsci.2017.08.003
   Peltre C, 2012, SOIL BIOL BIOCHEM, V52, P49, DOI 10.1016/j.soilbio.2012.03.023
   Perez C, 2007, AGR SYST, V94, P2, DOI 10.1016/j.agsy.2005.09.009
   Pinheiro M, 2015, SOIL BIOL BIOCHEM, V88, P90, DOI 10.1016/j.soilbio.2015.05.008
   Poeplau C, 2015, AGR ECOSYST ENVIRON, V200, P33, DOI 10.1016/j.agee.2014.10.024
   Powlson DS, 2016, AGR ECOSYST ENVIRON, V220, P164, DOI 10.1016/j.agee.2016.01.005
   Powlson DS, 2014, NAT CLIM CHANGE, V4, P678, DOI 10.1038/NCLIMATE2292
   Quinton JN, 2010, NAT GEOSCI, V3, P311, DOI [10.1038/NGEO838, 10.1038/ngeo838]
   Rasse DP, 2005, PLANT SOIL, V269, P341, DOI 10.1007/s11104-004-0907-y
   Recous S, 1995, SOIL BIOL BIOCHEM, V27, P1529, DOI 10.1016/0038-0717(95)00096-W
   Ruamps LS, 2011, SOIL BIOL BIOCHEM, V43, P280, DOI 10.1016/j.soilbio.2010.10.010
   Rumpel C, 2011, PLANT SOIL, V338, P143, DOI 10.1007/s11104-010-0391-5
   Saffih-Hdadi K, 2008, SOIL BIOL BIOCHEM, V40, P594, DOI 10.1016/j.soilbio.2007.08.022
   Sanderman J, 2017, SOIL-GERMANY, V3, P1, DOI 10.5194/soil-3-1-2017
   Sanderman J, 2017, NAT CLIM CHANGE, V7, P317, DOI 10.1038/nclimate3281
   Schimel JP, 2012, FRONT MICROBIOL, V3, DOI 10.3389/fmicb.2012.00348
   Schmidt MWI, 2011, NATURE, V478, P49, DOI 10.1038/nature10386
   Schon NL, 2015, EUR J SOIL SCI, V66, P348, DOI 10.1111/ejss.12217
   Schulze ED, 2010, GLOBAL CHANGE BIOL, V16, P1451, DOI 10.1111/j.1365-2486.2010.02215.x
   Shahzad T, 2015, SOIL BIOL BIOCHEM, V80, P146, DOI 10.1016/j.soilbio.2014.09.023
   Six J, 2002, PLANT SOIL, V241, P155, DOI 10.1023/A:1016125726789
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Söderström B, 2014, ENVIRON EVID, V3, DOI 10.1186/2047-2382-3-2
   Soussana JF, 2019, SOIL TILL RES, V188, P3, DOI 10.1016/j.still.2017.12.002
   Soussana JF, 2004, SOIL USE MANAGE, V20, P219, DOI 10.1079/SUM2003234
   Steinbeiss S, 2008, GLOBAL CHANGE BIOL, V14, P2937, DOI 10.1111/j.1365-2486.2008.01697.x
   Stewart CE, 2007, BIOGEOCHEMISTRY, V86, P19, DOI 10.1007/s10533-007-9140-0
   Stockmann U, 2013, AGR ECOSYST ENVIRON, V164, P80, DOI 10.1016/j.agee.2012.10.001
   Stolbovoy V., 2008, Threats to soil quality in Europe, P87
   Syswerda SP, 2011, SOIL SCI SOC AM J, V75, P92, DOI 10.2136/sssaj2009.0414
   Thomsen IK, 2013, SOIL BIOL BIOCHEM, V58, P82, DOI 10.1016/j.soilbio.2012.11.006
   Torn MS, 1997, NATURE, V389, P170, DOI 10.1038/38260
   Trost B, 2013, AGRON SUSTAIN DEV, V33, P733, DOI 10.1007/s13593-013-0134-0
   van Groenigen JW, 2017, ENVIRON SCI TECHNOL, V51, P4738, DOI 10.1021/acs.est.7b01427
   VandenBygaart AJ, 2010, CAN J SOIL SCI, V90, P543, DOI 10.4141/CJSS10028
   VandenBygaart AJ, 2008, CAN J SOIL SCI, V88, P671, DOI 10.4141/CJSS07015
   Verbruggen E, 2016, J ECOL, V104, P261, DOI 10.1111/1365-2745.12496
   Verbruggen E, 2013, NEW PHYTOL, V197, P366, DOI 10.1111/nph.12079
   Virto I, 2012, BIOGEOCHEMISTRY, V108, P17, DOI 10.1007/s10533-011-9600-4
   Wang ZG, 2017, NAT CLIM CHANGE, V7, P345, DOI [10.1038/NCLIMATE3263, 10.1038/nclimate3263]
   West TO, 2002, SOIL SCI SOC AM J, V66, P1930, DOI 10.2136/sssaj2002.1930
   Wieder WR, 2014, BIOGEOSCIENCES, V11, P3899, DOI 10.5194/bg-11-3899-2014
   Wiesmeier M, 2014, GLOBAL CHANGE BIOL, V20, P653, DOI 10.1111/gcb.12384
   Wollenberg E, 2016, GLOBAL CHANGE BIOL, V22, P3859, DOI 10.1111/gcb.13340
   Yue Y, 2016, P NATL ACAD SCI USA, V113, P6617, DOI 10.1073/pnas.1523358113
   Zhang WX, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3576
   Zhou XH, 2016, AGR ECOSYST ENVIRON, V228, P70, DOI 10.1016/j.agee.2016.04.030
NR 150
TC 393
Z9 412
U1 37
U2 687
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0167-1987
EI 1879-3444
J9 SOIL TILL RES
JI Soil Tillage Res.
PD MAY
PY 2019
VL 188
SI SI
BP 41
EP 52
DI 10.1016/j.still.2018.04.011
PG 12
WC Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA HM5MV
UT WOS:000459520700006
OA Green Published, Bronze
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Acharjee, TK
   van Halsema, G
   Ludwig, F
   Hellegers, P
   Supit, I
AF Acharjee, Tapos Kumar
   van Halsema, Gerardo
   Ludwig, Fulco
   Hellegers, Petra
   Supit, Iwan
TI Shifting planting date of <i>Boro</i> rice as a climate change
   adaptation strategy to reduce water use
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Transplanting date; Water demand; CropWat; Heat stress; Bangladesh
ID TEMPERATURE-INDUCED STERILITY; MORNING FLOWERING TRAIT; HEAT-STRESS
   DAMAGE; ORYZA-OFFICINALIS; WILD-RICE; IMPACT; AIR; REQUIREMENTS;
   BANGLADESH; SIMULATION
AB Suitable adaptation strategies for dry season Boro rice cultivation under future climate change scenarios are important for future food security in Bangladesh. This study assessed the effect of shifting trans- /planting date of dry season Boro rice as an adaptation strategy, with focus on water requirements under future climate scenarios. Potential crop water requirement, effective rainfall and irrigation requirement to satisfy crop evapo-transpiration of Boro rice were estimated using CropWat 8.0 for early, normal and late planting dates for 2050s and 2080s. Future climate scenarios were constructed using five global circulation model (GCM) outputs for RCP 4.5 and 8.5 by statistical downscaling and bias correction. Number of days exceeding the threshold temperatures (maximum of 35 degrees C and minimum of 25 degrees C) was counted for critical period of Boro rice to understand compatibility of the changed planting dates. Results indicate that late planting can substantially reduce irrigation demand by increasing rainfall availability during Boro growth duration, but the option is very limited due to both day- and night-time heat stress. An early planting, on the other hand, accounts for high water demand but ensures suitable temperature during the critical growth stages of the crop. The normal planting dates show the possibility of day-time heat stress. So, late planting of temperature-tolerant cultivars or early planting of high-yielding varieties would be recommended based on local water availability. However, adjustment of the planting date is currently limited because high temperature-tolerant cultivars are not available in the study region.
C1 [Acharjee, Tapos Kumar; Ludwig, Fulco; Supit, Iwan] Wageningen Univ, Water Syst & Global Change Grp, Wageningen, Netherlands.
   [van Halsema, Gerardo; Hellegers, Petra] Wageningen Univ, Water Resources Management Grp, Wageningen, Netherlands.
   [Acharjee, Tapos Kumar] Bangladesh Agr Univ, Dept Irrigat & Water Management, Mymensingh, Bangladesh.
C3 Wageningen University & Research; Wageningen University & Research;
   Bangladesh Agricultural University (BAU)
RP Acharjee, TK (corresponding author), Wageningen Univ, Water Syst & Global Change Grp, Wageningen, Netherlands.; Acharjee, TK (corresponding author), Bangladesh Agr Univ, Dept Irrigat & Water Management, Mymensingh, Bangladesh.
EM tapos.acharjee@wur.nl
RI Ludwig, Fulco/N-7732-2013; van halsema, gerardo/B-7062-2015
OI Acharjee, Tapos Kumar/0000-0002-5303-3434; LUDWIG,
   FULCO/0000-0001-6479-9657; hellegers, petra/0000-0002-4134-0568
FU Nuffic NICHE-BGD-155 project
FX The authors sincerely acknowledge the Nuffic NICHE-BGD-155 project for
   granting the fellowship to Tapos Kumar Acharjee for his PhD study at
   Wageningen University and Research, the Netherlands.
CR Acharjee TK, 2017, AGR WATER MANAGE, V194, P172, DOI 10.1016/j.agwat.2017.09.008
   Acharjee TK, 2017, AGR WATER MANAGE, V180, P148, DOI 10.1016/j.agwat.2016.11.014
   Ahmed S, 2016, FIELD CROP RES, V190, P91, DOI 10.1016/j.fcr.2015.12.004
   Barrow E., 2004, Climate Variability and Change in Canada
   Basak J.K., 2009, P INT C CLIMATE CHAN, P103
   Basak J.K., 2010, Journal of Civil Engineering, V38, P95
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Bheemanahalli R, 2017, FIELD CROP RES, V203, P238, DOI 10.1016/j.fcr.2016.11.011
   Biemans H, 2013, SCI TOTAL ENVIRON, V468, pS117, DOI 10.1016/j.scitotenv.2013.05.092
   BRAMMER H, 1987, DISASTERS, V11, P21, DOI 10.1111/j.1467-7717.1987.tb00611.x
   Challinor AJ, 2005, AGR FOREST METEOROL, V135, P180, DOI 10.1016/j.agrformet.2005.11.015
   Challinor AJ, 2004, AGR FOREST METEOROL, V124, P99, DOI 10.1016/j.agrformet.2004.01.002
   Chowdhury S., 2013, Journal of King Saud University-Engineering Sciences
   Chun JA, 2016, AGR SYST, V143, P14, DOI 10.1016/j.agsy.2015.12.001
   Clarke D., 2001, CropWat for Windows: user guide
   Dharmarathna WRSS, 2014, SUSTAIN SCI, V9, P103, DOI 10.1007/s11625-012-0192-2
   Doria R, 2006, ESTIMATION FUTURE CR, P1
   Doria R.O., 2010, Impact of Climate Change on Crop Water Requirements in Eastern Canada
   Eccel E, 2012, METEOROL APPL, V19, P118, DOI 10.1002/met.258
   Farrell TC, 2006, FIELD CROP RES, V98, P178, DOI 10.1016/j.fcr.2006.01.003
   Fujita K., 2010, Re-thinking economic development: the green revolution, agrarian structure and transformation in Bangladesh, Kyoto area studies on Asia
   Gomosta A, 2001, INT RIC RES C LOS BA
   Hazeleger W, 2010, B AM METEOROL SOC, V91, P1357, DOI 10.1175/2010BAMS2877.1
   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]
   Hijioka Y, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1327
   Hirabayashi H, 2015, J EXP BOT, V66, P1227, DOI 10.1093/jxb/eru474
   HOLBO HR, 1981, AGR METEOROL, V24, P117, DOI 10.1016/0002-1571(81)90038-8
   Ishimaru T, 2010, ANN BOT-LONDON, V106, P515, DOI 10.1093/aob/mcq124
   Jagadish SVK, 2010, J EXP BOT, V61, P143, DOI 10.1093/jxb/erp289
   Julia C, 2013, EUR J AGRON, V49, P50, DOI 10.1016/j.eja.2013.03.006
   Kabir M., 2016, Bangladesh Rice Journal, V19, P19, DOI [10.3329/brj.v19i2.28161, DOI 10.3329/BRJ.V19I2.28161]
   Karim MR, 2012, AGRON SUSTAIN DEV, V32, P821, DOI 10.1007/s13593-012-0096-7
   Krishnan R, 2011, ADV AGRON, V111, P87, DOI 10.1016/B978-0-12-387689-8.00004-7
   Laborte A., 2012, RICE TODAY, P30
   Mahmood R, 1997, AGR FOREST METEOROL, V84, P233, DOI 10.1016/S0168-1923(96)02360-X
   Mainuddin M, 2011, FOOD SECUR, V3, P433, DOI 10.1007/s12571-011-0154-z
   Matsui T, 2001, PLANT PROD SCI, V4, P90, DOI 10.1626/pps.4.90
   Matthews R.B., 1995, MODELING IMPACT CLIM
   Matthews RB, 1997, AGR SYST, V54, P399, DOI 10.1016/S0308-521X(95)00060-I
   Miller P., 2001, USING GROWING DEGREE, V59717, P994
   Mojid MA, 2015, INT J CLIMATOL, V35, P4041, DOI 10.1002/joc.4260
   Nahar K., 2009, Bot. Res. Int, V2, P295
   Nakagawa H., 2003, Rice science: innovations and impact for livelihood. Proceedings of the International Rice Research Conference, Beijing, China, 16-19 September 2002, P635
   Oh-e I, 2007, PLANT PROD SCI, V10, P412, DOI 10.1626/pps.10.412
   Perez F, 1987, EFFECT SIMULATED RAI
   Prasad PVV, 2006, FIELD CROP RES, V95, P398, DOI 10.1016/j.fcr.2005.04.008
   SATAKE T, 1978, JPN J CROP SCI, V47, P6, DOI 10.1626/jcs.47.6
   Satake T., 1995, SCI RICE PLANT, V2, P805
   Shah F, 2011, J AGR SCI-CAMBRIDGE, V149, P545, DOI 10.1017/S0021859611000360
   Shahid S, 2011, THEOR APPL CLIMATOL, V104, P489, DOI 10.1007/s00704-010-0363-y
   Shelley I.J., 2016, J INT COOPERATION AG, V14, P20, DOI DOI 10.50907/JICAD.14.0_20
   Shrestha S., 2013, Impacts of climate change on irrigation water requirements for rice-wheat cultivation in Bagmati river basin, Nepal
   Swaminithan M.S., 1984, Rice. Sci. Am, V250, P81
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Voldoire A, 2013, CLIM DYNAM, V40, P2091, DOI 10.1007/s00382-011-1259-y
   Wada Y, 2013, GEOPHYS RES LETT, V40, P4626, DOI 10.1002/grl.50686
   Wassmann R., 2007, Journal of SAT Agricultural Research, V4, P1
   Weedon GP, 2011, J HYDROMETEOROL, V12, P823, DOI 10.1175/2011JHM1369.1
   WMO, 1979, TECHN REG
   Yoshida S., 1981, Fundamentals of rice crop science.
   ,, 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 61
TC 45
Z9 46
U1 1
U2 33
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 JAN
PY 2019
VL 168
BP 131
EP 143
DI 10.1016/j.agsy.2018.11.006
PG 13
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA HE7TW
UT WOS:000453643900014
DA 2025-01-10
ER

PT S
AU Gorettie, NN
   Justine, NJ
   Allan, B
AF Gorettie, Nabanoga N.
   Justine, Namaalwa J.
   Allan, Bomuhangi
BE Bamutaze, Y
   Kyamanywa, S
   Singh, BR
   Nabanoga, G
   Lal, R
TI Impacts of Climate Change on Small Holder Households in Mt. Elgon Region
   of Uganda: Does Gender Matter?
SO AGRICULTURE AND ECOSYSTEM RESILIENCE IN SUB SAHARAN AFRICA: LIVELIHOOD
   PATHWAYS UNDER CHANGING CLIMATE
SE Climate Change Management
LA English
DT Article; Book Chapter
DE Climate change; Gender; Household type; Adaptation; Crop failure; Mt.
   Elgon; Uganda
ID ADAPTATION; VULNERABILITY
AB Agriculture, the main livelihood activity for several communities in Uganda, is threatened by short- and long-term changes in temperatures and precipitation. The increasing involvement of women in agriculture has attracted a myriad of gender-climate studies. However, much of the focus has concentrated on the usual gender dichotomy that assumes homogeneity within gender identities. This study is based on the premise that while an evaluation of male- and female-headed households is important, it only forms an initial stride in understanding climate change impacts' and adaptation analyses. Using focus group discussions and household surveys, this study unveils the climate change adaptation dynamics created by the different positions that men and women hold across defined household typologies in the Mt. Elgon region. The results indicate that male divorced/separated/widowed households are more impacted by crop failure than female divorced/separated/widowed households. Across the households, adult male and female vulnerability was attributed mainly to a limited asset ownership portfolio. Due to ownership of more diverse assets, coupled households had more flexibility to engage in a number of adaptive/coping strategies compared to any other household type. Women in coupled households were also more likely to adapt to crop failure compared to women in other household types, given that they have some access to and use rights of their spouse's assets. Given these dynamics, it is concluded that issues of gender and climate change are multifaceted and that meaningful design and implementation of adaptation strategies should not view "male," "female," and "household" as homogeneous categories but rather recognize their variation in adaptation process.
C1 [Gorettie, Nabanoga N.; Justine, Namaalwa J.; Allan, Bomuhangi] Makerere Univ, Sch Forestry Environm & Geog Sci, Kampala, Uganda.
C3 Makerere University
RP Gorettie, NN (corresponding author), Makerere Univ, Sch Forestry Environm & Geog Sci, Kampala, Uganda.
EM nabanoga@caes.mak.ac.ug; namaalwa@caes.mak.ac.ug
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   [Anonymous], THESIS U PRETORIA
   Balikoowa K, 2018, COGENT ENVIRON SCI, V4, DOI 10.1080/23311843.2018.1512838
   Beucher O, 2015, Economic Assessment of the Impacts of Climate Change in Uganda
   Bomuhangi A., 2011, Who owns the land? Perspectives from rural Ugandans and implications for land acquisitions
   Bomuhangi A, 2016, COGENT ENV SCI, V2, P1
   Carvajal-Escobar Y., 2008, Advances in Geoscience, V14, P277, DOI DOI 10.5194/ADGEO-14-277-2008
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Doss C, 2012, DEV POLICY REV, V30, P597, DOI 10.1111/j.1467-7679.2012.00590.x
   Ferguson MJ, 2004, TRENDS COGN SCI, V8, P33, DOI 10.1016/j.tics.2003.11.004
   Jost C, 2016, CLIM DEV, V8, P133, DOI 10.1080/17565529.2015.1050978
   Kakota T, 2011, CLIM DEV, V3, P298, DOI 10.1080/17565529.2011.627419
   Kisauzi T., 2012, African Crop Science Journal, V20, P275
   Kristjanson P, 2015, GENDER CLIMATE CHANG
   Mbogga M. S., 2012, UNDP Consultancy report
   MFEP, 2014, Housing and population census
   Mubangizi N., 2018, International Journal of Agricultural Extension, V5, P103
   Mugagga F., 2017, Environment and Ecology Research, V5, P357, DOI [10.13189/eer.2017.050505, DOI 10.13189/EER.2017.050505]
   Mutongi K, 1999, J AFR HIST, V40, P67, DOI 10.1017/S0021853798007373
   MWE, 2013, INT TERR CLIM PLAN 2
   Nabikolo D., 2012, African Crop Science Journal, V20, P203
   NEMA, 2008, State of environment report for Uganda
   NEPAD, 2015, NEW PARTN AFR DEV AN
   Ngigi MW, 2017, ECOL ECON, V138, P99, DOI 10.1016/j.ecolecon.2017.03.019
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Okonya J. S., 2013, Journal of Agricultural Science (Toronto), V5, P252
   Otiso Kefa.M., 2006, CULTURE CUSTOMS UGAN
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Shongwe P., 2014, Journal of Agricultural Studies, V2, P86, DOI DOI 10.5296/JAS.V2I1.4890
   Twyman J., 2014, 83 CCAFS
   UBOS, 2017, Statistical abstract 2017
   Van Aelst K, 2016, WORLD DEV, V79, P40, DOI 10.1016/j.worlddev.2015.11.003
NR 34
TC 2
Z9 3
U1 0
U2 10
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1610-2010
BN 978-3-030-12974-3; 978-3-030-12973-6
J9 CLIM CHANG MANAG
PY 2019
BP 673
EP 690
DI 10.1007/978-3-030-12974-3_30
D2 10.1007/978-3-030-12974-3
PG 18
WC Agricultural Engineering; Area Studies; Ecology; Economics;
   Environmental Sciences; Environmental Studies
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Agriculture; Area Studies; Environmental Sciences & Ecology; Business &
   Economics
GA BN9MZ
UT WOS:000489289500032
DA 2025-01-10
ER

PT J
AU Caruzzo, A
   Belderrain, MCN
   Fisch, G
   Young, GS
   Hanlon, CJ
   Verlinde, J
AF Caruzzo, Amaury
   Neyra Belderrain, Mischel Carmen
   Fisch, Gilberto
   Young, George S.
   Hanlon, Christopher J.
   Verlinde, Johannes
TI Modelling weather risk preferences with multi-criteria decision analysis
   for an aerospace vehicle launch
SO METEOROLOGICAL APPLICATIONS
LA English
DT Article
DE weather decision index; decision under uncertainty; multi-attribute
   decision model; aerospace meteorology; sounding rocket launch; Brazilian
   Space Programme
ID UNCERTAINTY; METEOROLOGY; PROGRAM; SCIENCE
AB Decision-making under weather uncertainty is a challenge in several fields. When the decision process involves many stakeholders, frequently with different interpretations of the meteorological information, the process is even more complex. This work provides a quantitative decision model with a new index (called the weather decision index, WDI) to support the stakeholders in making real-world choices according to their preferences regarding the uncertainty of weather information. The integrated model combines several methods such as problem structuring, multi-criteria analysis, scenario planning and probabilistic weather forecast techniques. As a demonstration, the model was applied in the sounding rocket launch mission in the Brazilian Space Programme. The WDI captured stakeholders' behaviour related to three meteorological information attributes (probability, lead-time and variables) and modelled the most important judgements of the decision maker; low probability or an extended lead-time depreciates the meteorological information, and weather variables are not considered in the decisions, even with forecasts of extreme events. Modelling with the WDI brings a new perspective in weather-related decision problems. The choice of alternatives no longer depends on a necessarily simplified optimization analysis, but rather on the decision maker's preferences about the possibly nonlinear trade-offs between forecast reliability and lead-time. The findings also increase understanding of the forecast decision maker's preferences and how to improve weather risk communication. The WDI provides a starting point for several applications, including early warning systems or climate change adaptation, for which reliable uncertainty estimates are accessible.
C1 [Caruzzo, Amaury] McGill Univ, Dept Atmospher & Ocean Sci, Room 946,Burnside Hall 805 Sherbrooke St West, Montreal, PQ H3A 0B9, Canada.
   [Neyra Belderrain, Mischel Carmen] Aeronaut Inst Technol ITA, Sao Jose Dos Campos, Brazil.
   [Fisch, Gilberto] Aeronaut & Space Inst IAE, Dept Atmospher Sci, Sao Jose Dos Campos, Brazil.
   [Young, George S.; Hanlon, Christopher J.; Verlinde, Johannes] Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USA.
C3 McGill University; Pennsylvania Commonwealth System of Higher Education
   (PCSHE); Pennsylvania State University; Pennsylvania State University -
   University Park
RP Caruzzo, A (corresponding author), McGill Univ, Dept Atmospher & Ocean Sci, Room 946,Burnside Hall 805 Sherbrooke St West, Montreal, PQ H3A 0B9, Canada.
EM amaury.caruzzo@mail.mcgill.ca
RI Fisch, Gilberto/E-5906-2011; /H-8351-2017; Caruzzo, Amaury/C-2124-2011
OI Neyra Belderrain, Mischel Carmen/0000-0002-5582-4977; Fisch,
   Gilberto/0000-0001-6668-9988; /0000-0002-9121-3110; Caruzzo,
   Amaury/0000-0001-5280-6063
FU National Council for Scientific and Technological Development of Brazil
   - CNPq [142212/2011-3, 232898/2014-6]; CAPES [14552/2013-2]; ITA
   [PCT/BR2016/050232]
FX This study was supported by the National Council for Scientific and
   Technological Development of Brazil - CNPq (grant 142212/2011-3 and
   232898/2014-6) and CAPES (grant 14552/2013-2). The authors are grateful
   to the Editors and the anonymous reviewers who offered valuable comments
   to improve the quality of this work, to Maria A. Pirone and William H.
   Brune for support and also to all the Brazilian Space Programme
   interviewees for their availability and their help in our research. This
   research started while the first author was affiliated with the
   Aeronautics Institute of Technology - ITA (Brazil). The process
   presented in this paper is subject to an International Patent
   Application (PCT/BR2016/050232) filed by ITA.
CR [Anonymous], 1993, Decisions with Multiple Objectives
   [Anonymous], 1986, Decision Analysis and Behavioral Research
   [Anonymous], 2002, Multiple criteria decision analysis: an integrated approach, DOI 10.1007/978-1-4615-1495-4
   [Anonymous], 2012, PERCEPTION USE PUBLI
   Brito AJ, 2012, EUR J OPER RES, V220, P820, DOI 10.1016/j.ejor.2012.02.027
   Caruzzo A, 2015, J AEROSP TECHNOL MAN, V7, P7, DOI 10.5028/jatm.v7i1.461
   Cho GR, 2008, ACTA ASTRONAUT, V62, P706, DOI 10.1016/j.actaastro.2008.01.035
   de Berker AO, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10996
   Durbach I, 2018, EURO J DECIS PROCESS, V6, P213, DOI 10.1007/s40070-017-0063-2
   Garcia A, 2011, J AEROSP TECHNOL MAN, V3, P325, DOI 10.5028/jatm.2011.03032211
   Gigerenzer G, 2008, PERSPECT PSYCHOL SCI, V3, P20, DOI 10.1111/j.1745-6916.2008.00058.x
   Goodwin Paul., 2004, Decision analysis for management judgement
   Hämäläinen RP, 2013, EUR J OPER RES, V228, P623, DOI 10.1016/j.ejor.2013.02.001
   Hand MS, 2015, RISK ANAL, V35, P1876, DOI 10.1111/risa.12457
   Hanlon CJ, 2014, J GEOPHYS RES-ATMOS, V119, P65, DOI 10.1002/2013JD020195
   Hiramatsu A, 2007, LECT NOTES ARTIF INT, V4617, P68
   Hoekstra S, 2011, WEATHER CLIM SOC, V3, P128, DOI 10.1175/2011WCAS1076.1
   Joe P, 2010, B AM METEOROL SOC, V91, P31, DOI 10.1175/2009BAMS2998.1
   Joslyn S, 2013, CURR DIR PSYCHOL SCI, V22, P308, DOI 10.1177/0963721413481473
   Joslyn S, 2010, METEOROL APPL, V17, P180, DOI 10.1002/met.190
   Kox T, 2015, ATMOS RES, V158, P292, DOI 10.1016/j.atmosres.2014.02.024
   LeClerc J, 2015, RISK ANAL, V35, P385, DOI 10.1111/risa.12336
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   MacKenzie CA, 2014, RISK ANAL, V34, P2143, DOI 10.1111/risa.12220
   Marques RFC, 2005, B SOC BRAS METEOROL, V29, P23
   Möller A, 2013, Q J ROY METEOR SOC, V139, P982, DOI 10.1002/qj.2009
   Montibeller G, 2015, RISK ANAL, V35, P1230, DOI 10.1111/risa.12360
   Montz BE, 2015, METEOROL APPL, V22, P323, DOI 10.1002/met.1457
   Morss RE, 2010, METEOROL APPL, V17, P149, DOI 10.1002/met.196
   NASA, 2005, CR2005212563 NASA
   Neal RA, 2014, METEOROL APPL, V21, P563, DOI 10.1002/met.1377
   Regnier E, 2008, MANAGE SCI, V54, P16, DOI 10.1287/mnsc.1070.0764
   ROY B, 1993, EUR J OPER RES, V66, P184, DOI 10.1016/0377-2217(93)90312-B
   Vaughan WW, 2011, B AM METEOROL SOC, V92, P1149, DOI 10.1175/2011BAMS3133.1
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   White CJ, 2017, METEOROL APPL, V24, P315, DOI 10.1002/met.1654
   Wilks D.S, 2011, International Geophysics, DOI DOI 10.1016/B978-0-12-385022-5.00008-7
   Wilson LJ, 2013, METEOROL APPL, V20, P206, DOI 10.1002/met.1404
NR 38
TC 5
Z9 6
U1 1
U2 12
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1350-4827
EI 1469-8080
J9 METEOROL APPL
JI Meteorol. Appl.
PD JUL
PY 2018
VL 25
IS 3
BP 456
EP 465
DI 10.1002/met.1713
PG 10
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Meteorology & Atmospheric Sciences
GA GM1RY
UT WOS:000437850100013
OA Bronze
DA 2025-01-10
ER

PT J
AU Nadeau, CP
   Fuller, AK
AF Nadeau, Christopher P.
   Fuller, Angela K.
TI Combining landscape variables and species traits can improve the utility
   of climate change vulnerability assessments
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Climate change adaptation; Climate change exposure; Climate change
   velocity; Dispersal ability; Landscape connectivity; Northeastern United
   States
ID BIODIVERSITY CONSERVATION; ADAPTATION STRATEGIES; DISTRIBUTION MODELS;
   EXTINCTION RISK; GLOBAL CHANGE; LIFE-HISTORY; PREDICT; MANAGEMENT;
   BIRDS; DISTRIBUTIONS
AB Conservation organizations worldwide are investing in climate change vulnerability assessments. Most vulnerability assessment methods focus on either landscape features or species traits that can affect a species vulnerability to climate change. However, landscape features and species traits likely interact to affect vulnerability. We compare a landscape-based assessment, a trait-based assessment, and an assessment that combines landscape variables and species traits for 113 species of birds, herpetofauna, and mammals in the northeastern United States. Our aim is to better understand which species traits and landscape variables have the largest influence on assessment results and which types of vulnerability assessments are most useful for different objectives. Species traits were most important for determining which species will be most vulnerable to climate change. The sensitivity of species to dispersal barriers and the species average natal dispersal distance were the most important traits. Landscape features were most important for determining where species will be most vulnerable because species were most vulnerable in areas where multiple landscape features combined to increase vulnerability, regardless of species traits. The interaction between landscape variables and species traits was important when determining how to reduce climate change vulnerability. For example, an assessment that combines information on landscape connectivity, climate change velocity, and natal dispersal distance suggests that increasing landscape connectivity may not reduce the vulnerability of many species. Assessments that include landscape features and species traits will likely be most useful in guiding conservation under climate change. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Nadeau, Christopher P.] Cornell Univ, Dept Nat Resources, New York Cooperat Fish & Wildlife Res Unit, 211 Fernow Hall, Ithaca, NY 14853 USA.
   [Fuller, Angela K.] Cornell Univ, US Geol Survey, New York Cooperat Fish & Wildlife Res Unit, Dept Nat Resources, 211 Fernow Hall, Ithaca, NY 14853 USA.
C3 Cornell University; United States Department of the Interior; United
   States Geological Survey; Cornell University
RP Nadeau, CP (corresponding author), Cornell Univ, Dept Nat Resources, New York Cooperat Fish & Wildlife Res Unit, 211 Fernow Hall, Ithaca, NY 14853 USA.
EM christopher.nadeau@uconn.edu
RI Nadeau, Christopher/AAN-6201-2020
FU New York State Department of Environmental Conservation [T-18]
FX The New York State Department of Environmental Conservation provided
   funding for this research through New York State Wildlife Grants program
   grant T-18 awarded to New York by the U.S. Fish and Wildlife Service,
   Wildlife and Sport Fish Restoration Program. Dan Rosenblatt, Patty
   Riexinger, and Gordon Batcheller provided useful guidance and feedback.
   Pat Sullivan at Cornell University also provided useful guidance.
   Kimberly Corwin provided lists of species experts. We obtained climate
   data from Arthur DeGaetano at the Northeast Regional Climate Science
   Center. Forty-three experts from state and federal agencies, non-profit
   natural resource agencies, and universities in the northeastern United
   States provided expert knowledge that made this study possible. Any use
   of trade, firm or product names is for descriptive purposes only and
   does not imply endorsement by the U.S. Government.
CR Anderson M.G., 2012, Resilient Sites for Terrestrial Conservation in the Northeast and Mid-Atlantic Region. The Nature Conservancy
   Anderson M. G., 2011, Resilient sites for species conservation in the Northeast and mid-Atlantic region
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   Angert AL, 2011, ECOL LETT, V14, P677, DOI 10.1111/j.1461-0248.2011.01620.x
   [Anonymous], COMPR WILDL CONS STR
   Beale CM, 2008, P NATL ACAD SCI USA, V105, P14908, DOI 10.1073/pnas.0803506105
   Beier Paul, 2012, Ecological Restoration, V30, P312, DOI 10.3368/er.30.4.312
   Chessman BC, 2013, BIOL CONSERV, V160, P40, DOI 10.1016/j.biocon.2012.12.032
   Dawson TP, 2011, SCIENCE, V332, P53, DOI 10.1126/science.1200303
   Diamond SE, 2011, ECOLOGY, V92, P1005, DOI 10.1890/i0012-9658-92-5-1005
   Dormann CF, 2007, BASIC APPL ECOL, V8, P387, DOI 10.1016/j.baae.2006.11.001
   Estrada A, 2015, GLOBAL ECOL BIOGEOGR, V24, P849, DOI 10.1111/geb.12306
   Foden WB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065427
   Galbraith H., 2009, FRAMEWORK CATEGORIZI
   Garcia RA, 2014, J BIOGEOGR, V41, P724, DOI 10.1111/jbi.12257
   Guralnick R, 2007, GLOBAL ECOL BIOGEOGR, V16, P14, DOI [10.1111/j.1466-822X.2006.00260.x, 10.1111/j.1466-8238.2006.00260.x]
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   IUCN (International Union for Conservation of Nature), 2004, GLOB AMPH ASS
   Jiguet F, 2007, GLOBAL CHANGE BIOL, V13, P1672, DOI 10.1111/j.1365-2486.2007.01386.x
   Klausmeyer KR, 2011, ECOSPHERE, V2, DOI 10.1890/ES11-00044.1
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Luoto M, 2008, GLOBAL CHANGE BIOL, V14, P483, DOI 10.1111/j.1365-2486.2007.01527.x
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   Moyle PB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0063883
   Nadeau CP, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00069.1
   Nadeau CP, 2015, METHODS ECOL EVOL, V6, P697, DOI 10.1111/2041-210X.12360
   NatureServe, 2008, DIG DISTR MAPS REPT
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Orme CDL, 2006, PLOS BIOL, V4, P1276, DOI 10.1371/journal.pbio.0040208
   Pacifici M, 2015, NAT CLIM CHANGE, V5, P215, DOI 10.1038/NCLIMATE2448
   Patsiou TS, 2014, GLOBAL CHANGE BIOL, V20, P2286, DOI 10.1111/gcb.12515
   Patterson B., 2007, Digital Distribution Maps of the Mammals of the Western Hemisphere
   Pearson RG, 2014, NAT CLIM CHANGE, V4, P217, DOI [10.1038/NCLIMATE2113, 10.1038/nclimate2113]
   Randin CF, 2009, GLOBAL CHANGE BIOL, V15, P1557, DOI 10.1111/j.1365-2486.2008.01766.x
   Ridgely R.S., 2007, DIGITAL DISTRIBUTION
   Rowland EL, 2011, ENVIRON MANAGE, V47, P322, DOI 10.1007/s00267-010-9608-x
   Scheffers BR, 2014, GLOBAL CHANGE BIOL, V20, P495, DOI 10.1111/gcb.12439
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Sinclair SJ, 2010, ECOL SOC, V15, DOI 10.5751/ES-03089-150108
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Watson JEM, 2013, NAT CLIM CHANGE, V3, P989, DOI [10.1038/NCLIMATE2007, 10.1038/nclimate2007]
   Williams SE, 2008, PLOS BIOL, V6, P2621, DOI 10.1371/journal.pbio.0060325
   Willis SG, 2015, BIOL CONSERV, V190, P167, DOI 10.1016/j.biocon.2015.05.001
   Young B., 2011, GUIDLINES USING NATU
NR 44
TC 16
Z9 18
U1 7
U2 82
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 OCT
PY 2016
VL 202
BP 30
EP 38
DI 10.1016/j.biocon.2016.07.030
PG 9
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA EA0ZP
UT WOS:000386318400004
DA 2025-01-10
ER

PT J
AU Kjellstrom, T
AF Kjellstrom, Tord
TI Impact of Climate Conditions on Occupational Health and Related Economic
   Losses: A New Feature of Global and Urban Health in the Context of
   Climate Change
SO ASIA-PACIFIC JOURNAL OF PUBLIC HEALTH
LA English
DT Article
DE climate; heat; work; health; economics; climate change
ID HEAT EXPOSURE; PRODUCTIVITY; STRESS
AB One feature of climate change is the increasing heat exposure in many workplaces where efficient cooling systems cannot be applied. Excessive heat exposure is a particular problem for working people because of the internal heat production when muscle work is carried out. The physiological basis for severe heat stroke, other clinical effects, and heat exhaustion is well known. One feature of this health effect of excessive workplace heat exposure is reduced work capacity, and new research has started to quantify this effect in the context of climate change. Current climate conditions in tropical and subtropical parts of the world are already so hot during the hot seasons that occupational health effects occur and work capacity for many working people is affected. The Hothaps-Soft database and software and ClimateCHIP.org website make it possible to rapidly produce estimates of local heat conditions and trends. The results can be mapped to depict the spatial distribution of workplace heat stress. In South-East Asia as much as 15% to 20% of annual work hours may already be lost in heat-exposed jobs, and this may double by 2050 as global climate change progresses. By combining heat exposure data and estimates of the economic consequences, the vulnerability of many low- and middle-income countries is evident. The annual cost of reduced labor productivity at country level already in 2030 can be several percent of GDP, which means billions of US dollars even for medium-size countries. The results provide new arguments for effective climate change adaptation and mitigation policies and preventive actions in all countries.
C1 [Kjellstrom, Tord] Lund Univ, Lund, Sweden.
   [Kjellstrom, Tord] Health & Environm Int Trust, 168 Stafford Dr, Mapua 07005, Nelson, New Zealand.
   [Kjellstrom, Tord] Australian Natl Univ, Canberra, ACT, Australia.
   [Kjellstrom, Tord] UCL, London, England.
C3 Lund University; Australian National University; University of London;
   University College London
RP Kjellstrom, T (corresponding author), Health & Environm Int Trust, 168 Stafford Dr, Mapua 07005, Nelson, New Zealand.
EM kjellstromt@yahoo.com
FU Australian National University; Umea University (Sweden); Tromso
   University (Norway); Pufendorf Institute, Lund University, Sweden
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: The
   Hothaps work has benefitted from academic and financial support from the
   Australian National University, Umea University (Sweden), Tromso
   University (Norway), and most recently from the Pufendorf Institute,
   Lund University, Sweden.
CR [Anonymous], 2020, Building Capacity on Climate Change and Human Health
   [Anonymous], GLOBAL HEALTH ACTION
   [Anonymous], CLIM VULN MON 2012
   [Anonymous], 1 INT PAN CLIM CHANG
   [Anonymous], 2 INT PAN CLIM CHANG
   [Anonymous], 2014, The American Climate Prospectus: Economics Risks in the United States
   [Anonymous], 7243 ISO
   Costello A, 2009, LANCET, V373, P1693, DOI 10.1016/S0140-6736(09)60929-6
   Friel S, 2011, J URBAN HEALTH, V88, P886, DOI 10.1007/s11524-011-9607-0
   Kjellstrom T, 2013, IND HEALTH, V51, P56, DOI 10.2486/indhealth.2012-0174
   Kjellstrom T, 2013, IND HEALTH, V51, P1
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, P46, DOI 10.3402/gha.v2i0.2047
   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
   Lemke B, 2012, IND HEALTH, V50, P267, DOI 10.2486/indhealth.MS1352
   Lundgren K, 2013, SUSTAINABILITY-BASEL, V5, P3116, DOI 10.3390/su5073116
   OKE TR, 1973, ATMOS ENVIRON, V7, P769, DOI 10.1016/0004-6981(73)90140-6
   Parsons K., 2014, Human Thermal Environments, VThird
   Parsons K., 2003, EFFECTS HOT MODERATE, V2nd
   Sahu S, 2013, IND HEALTH, V51, P424, DOI 10.2486/indhealth.2013-0006
   WYNDHAM CH, 1969, ENVIRON RES, V2, P442, DOI 10.1016/0013-9351(69)90015-2
NR 21
TC 76
Z9 86
U1 0
U2 69
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 1010-5395
EI 1941-2479
J9 ASIA-PAC J PUBLIC HE
JI Asia-Pac. J. Public Health
PD MAR
PY 2016
VL 28
SU 2
BP 28S
EP 37S
DI 10.1177/1010539514568711
PG 10
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA DI9QD
UT WOS:000373836600005
PM 25626424
DA 2025-01-10
ER

PT J
AU Clement, S
   Moore, SA
   Lockwood, M
   Mitchell, M
AF Clement, Sarah
   Moore, Susan A.
   Lockwood, Michael
   Mitchell, Michael
TI Using insights from pragmatism to develop reforms that strengthen
   institutional competence for conserving biodiversity
SO POLICY SCIENCES
LA English
DT Article
DE Adaptive governance; Biodiversity conservation; Multifunctional
   landscapes; Institutional reform; Protected areas; Private land
   conservation
ID CLIMATE-CHANGE ADAPTATION; GREAT-BARRIER-REEF; ADAPTIVE GOVERNANCE;
   TRANSBOUNDARY CONSERVATION; MANAGEMENT; RESILIENCE; CAPACITY;
   SUSTAINABILITY; COLLABORATION; LANDSCAPES
AB The poor performance of biodiversity institutions has prompted calls for reform. Adaptive governance has been promoted as a means of supporting improved biodiversity outcomes. However, incorporating adaptive elements into biodiversity governance has been a challenge. In particular, efforts to make institutions more "adaptive" often fail to account for existing capacity and context-specific factors. Clear guidance on how to move from general, ambitious adaptive governance prescriptions to specific, context-dependent recommendations is needed. This paper demonstrates how insights from pragmatism can inform an approach for designing institutional reforms that address current shortcomings in adaptive governance approaches. This design scaffolds reform options on a platform of existing competency and institutional legacy. Informed by the results of a prior institutional diagnosis, reform development followed a three-stage process: defining plausible reform spaces; identifying reform possibilities within these spaces; and elaborating reform options. Two very different landscapes provided the case studies: (1) a highly modified agricultural landscape, where private landholders are responsible for managing biodiversity as a public good; (2) a group of national parks, where the state holds primary responsibility. The reforms in the agricultural landscape build on successful landholder and organizational efforts to self-organize and pursue innovative solutions, while those for the protected area enable greater managerial discretion and address the challenges of working across multiple government jurisdictions. This context-driven approach draws on insights from pragmatism to provide guidance on the design of institutional reforms that meet the demands of adaptive governance in a way that is both systematic and realistic.
C1 [Clement, Sarah; Moore, Susan A.] Murdoch Univ, Environm & Conservat Sci, Murdoch, WA 6150, Australia.
   [Lockwood, Michael; Mitchell, Michael] Univ Tasmania, Sch Land & Food, Geog & Spatial Sci, Hobart, Tas 7001, Australia.
C3 Murdoch University; University of Tasmania
RP Clement, S (corresponding author), Murdoch Univ, Environm & Conservat Sci, 90 South St, Murdoch, WA 6150, Australia.
EM s.clement@murdoch.edu.au; s.moore@murdoch.edu.au;
   michael.lockwood@utas.edu.au; michael.mitchell@utas.edu.au
RI Mitchell, Michael/C-2382-2014; Clement, Sarah/O-9997-2016
OI Mitchell, Michael/0000-0002-1082-3073; Clement,
   Sarah/0000-0002-5422-622X
FU Australian Government's National Environmental Research Program;
   University of Tasmania (UTAS); Australian National University (ANU);
   Murdoch University; Antarctic Climate and Ecosystems Cooperative
   Research Centre (ACE CRC); Griffith University; Charles Sturt University
   (CSU)
FX This research is an output from the Landscapes and Policy Research Hub.
   The hub is supported through funding from the Australian Government's
   National Environmental Research Program and involves researchers from
   the University of Tasmania (UTAS), The Australian National University
   (ANU), Murdoch University, the Antarctic Climate and Ecosystems
   Cooperative Research Centre (ACE CRC), Griffith University, and Charles
   Sturt University (CSU).
CR Ansell C, 2008, J PUBL ADM RES THEOR, V18, P543, DOI 10.1093/jopart/mum032
   Ansell Christopher., 2011, PRAGMATIST DEMOCRACY
   Armitage D, 2012, CONSERV LETT, V5, P245, DOI 10.1111/j.1755-263X.2012.00238.x
   Bardsley DK, 2012, HUM ECOL, V40, P129, DOI 10.1007/s10745-011-9453-4
   Bates Gerry., 2010, Environmental Law in Australia, V7th
   Baumgartner F., 2014, THEORIES POLICY PROC, VThird, P59
   Behn RobertD., 2001, Rethinking Democratic Accountability
   Bennett Andrew F., 2009, Ecological Management & Restoration, V10, P192, DOI 10.1111/j.1442-8903.2009.00489.x
   Benson MH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05116-170428
   Berman R, 2012, ENVIRON DEV, V2, P86, DOI 10.1016/j.envdev.2012.03.017
   Borrini-Feyerabend G., 2013, Governance of Protected Areas: From Understanding to Action
   Boyd E., 2011, Adapting Institutions: Governance, Complexity and Social-Ecological Resilience
   Brennan Andrew, 2004, Pacific Conservation Biology, V10, P124
   Brenner JC, 2012, J SOUTHWEST, V54, P499, DOI 10.1353/jsw.2012.0023
   Brunner RD, 2010, POLICY SCI, V43, P301, DOI 10.1007/s11077-010-9117-z
   Burch S, 2014, ENVIRON SCI POLICY, V37, P79, DOI 10.1016/j.envsci.2013.08.014
   Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512
   Campbell J. L., 2010, OXFORD HDB COMP I AN, P707
   Campbell John., 2004, Institutional Change and Globalization
   Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Chapin FS, 2012, ECOSPHERE, V3, DOI 10.1890/ES12-00009.1
   Cleaver F., 2012, Development through bricolage: rethinking institutions for natural resource management
   Clement S., 2015, UNDERSTANDING DESIGN
   Connell D, 2011, BASIN FUTURES: WATER REFORM IN THE MURRAY-DARLING BASIN, P1
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   Cox M, 2011, J ENVIRON ECON MANAG, V61, P254, DOI 10.1016/j.jeem.2010.10.004
   Crabb P., 2007, Australasian Journal of Environmental Management, V14, P210
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   Curtis AL, 2010, AUSTRALAS J ENV MAN, V17, P134, DOI 10.1080/14486563.2010.9725260
   Davis S. D., 1994, CTR PLANT DIVERSITY, V2
   de Sainte Marie C, 2014, J ENVIRON PLANN MAN, V57, P704, DOI 10.1080/09640568.2013.763772
   Department of the Environment, 2009, BIODIVERSITY HOTSPOT
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Djelic ML, 2007, THEOR SOC, V36, P161, DOI 10.1007/s11186-007-9026-0
   Doremus H, 2003, ENVIRON SCI POLICY, V6, P217, DOI 10.1016/S1462-9011(03)00036-4
   DPIPWE, 2013, PROT AR PRIV LAND PR
   Dudley N., 2008, Guidelines for applying protected area management categories, DOI 10.2305/IUCN.CH.2008.PAPS.2.en
   Dupraz P, 2004, ADV ECOL ECON, P162
   Eagles PFJ, 2009, J SUSTAIN TOUR, V17, P231, DOI 10.1080/09669580802495725
   Earl G, 2010, ENVIRON MANAGE, V45, P682, DOI 10.1007/s00267-010-9444-z
   Ebrahim A, 2005, NONPROF VOLUNT SEC Q, V34, P56, DOI 10.1177/0899764004269430
   Emerton L., 2006, SUSTAINABLE FINANCIN, V13
   Evans LS, 2014, INT J COMMONS, V8, P396, DOI 10.18352/ijc.405
   Fitzsimons J, 2013, LINKING AUSTRALIA'S LANDSCAPES: LESSONS AND OPPORTUNITIES FROM LARGE-SCALE CONSERVATION NETWORKS, P1
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Friedland R., 1991, NEW I ORG ANAL, V38, P232, DOI DOI 10.7208/CHICAGO/9780226185941.001.0001
   Fung A, 2004, EMPOWERED PARTICIPATION: REINVENTING URBAN DEMOCRACY, P1
   Galaz V, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P147
   Gonthier DJ, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2014.1358
   Goodin R.E., 1996, THEORY I DESIGN, DOI DOI 10.1017/CBO9780511558320
   Hill R, 2013, FUTURES, V46, P41, DOI 10.1016/j.futures.2012.10.002
   Hobbs R. J., 2013, Novel Ecosystems: Intervening in the New Ecological World Order
   Hollingsworth JR, 2000, REV INT POLIT ECON, V7, P595, DOI 10.1080/096922900750034563
   Imperial M, 2005, ADMIN SOC, V37, P281, DOI 10.1177/0095399705276111
   Kaljonen M, 2008, J ENVIRON POL PLAN, V10, P113, DOI 10.1080/15239080801928394
   Lebel L, 2006, ECOL SOC, V11
   Lebel L, 2013, ECOL SOC, V18, DOI 10.5751/ES-05097-180101
   Lehmann P, 2009, J ENVIRON POL PLAN, V11, P315, DOI 10.1080/15239080903033879
   Lindblom C.E., 1990, Inquiry and change: The troubled attempt to understand and shape society
   Lockie S, 2007, J RURAL STUD, V23, P1, DOI 10.1016/j.jrurstud.2006.09.011
   Lockwood M, 2014, ECOL SOC, V19, DOI 10.5751/ES-06393-190213
   Lockwood M, 2010, GEOFORUM, V41, P388, DOI 10.1016/j.geoforum.2009.12.001
   Lockwood M, 2010, J ENVIRON MANAGE, V91, P754, DOI 10.1016/j.jenvman.2009.10.005
   Mahoney James., 2010, Explaining Institutional Change: Ambiguity; Agency and Power, DOI DOI 10.1017/CBO9780511806414
   Matthews R, 2010, SPRINGER SER ENV MAN, P223, DOI 10.1007/978-3-642-12194-4_11
   Minichiello V., 1995, IN DEPTH INTERVIEWIN
   Mitchell M, 2015, J ENVIRON PLANN MAN, V58, P1903, DOI 10.1080/09640568.2014.967387
   Mitchell M, 2015, J ENVIRON MANAGE, V150, P69, DOI 10.1016/j.jenvman.2014.11.013
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97
   O'Farrell PJ, 2010, CURR OPIN ENV SUST, V2, P59, DOI 10.1016/j.cosust.2010.02.005
   O'Toole LaurenceJ., 2011, Public management: organizations, governance, and performance
   Ojha H.R., 2013, Adaptive Collaborative Approaches in Natural Resource Governance: Rethinking Participation, Learning and Innovation
   Olsson P, 2008, P NATL ACAD SCI USA, V105, P9489, DOI 10.1073/pnas.0706905105
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Paavola J., 2009, Environmental Policy and Governance, V19, P148, DOI 10.1002/eet.505
   Pacheco DF, 2010, J MANAGE, V36, P974, DOI 10.1177/0149206309360280
   Pasari JR, 2013, P NATL ACAD SCI USA, V110, P10219, DOI 10.1073/pnas.1220333110
   Reyers B, 2012, LANDSCAPE ECOL, V27, P1121, DOI 10.1007/s10980-012-9761-0
   Rickards L, 2014, ENVIRON PLANN C, V32, P641, DOI 10.1068/c12106
   Rijke J, 2012, ENVIRON SCI POLICY, V22, P73, DOI 10.1016/j.envsci.2012.06.010
   RING I, 2008, PUBLIC PRIVATE NATUR, P107
   Sabel CharlesF., 2010, EXPT GOVERNANCE EURO
   Salamon SD, 2008, J APPL PSYCHOL, V93, P593, DOI 10.1037/0021-9010.93.3.593
   Sattler P., 2002, AUSTR TERRESTRIAL BI
   Sayre N.F., 2005, Working wilderness: The Malpai Borderlands Group and the future of the western range
   Schoon M, 2013, CONSERV SOC, V11, P420, DOI 10.4103/0972-4923.125758
   Scott WR, 2014, MANAGEMENT, V17, P136, DOI 10.3917/mana.172.0136
   Selznick Philip., 2002, COMMUNITARIAN PERSUA
   Steele W, 2014, J ENVIRON PLANN MAN, V57, P682, DOI 10.1080/09640568.2013.763771
   Stewart D.W., 2007, FOCUS GROUPS, V2nd
   Termeer CJAM, 2013, PUBLIC MANAG REV, V15, P43, DOI 10.1080/14719037.2012.664014
   Thelen K, 1999, ANNU REV POLIT SCI, V2, P369, DOI 10.1146/annurev.polisci.2.1.369
   Thomas CW, 2003, POLIT SCI ENVIRON, P1
   Torfing J., 2012, Interactive Governance. Advancing the Paradigm
   Van Huylenbroeck G., 2003, MULTIFUNCTIONALITY A
   Virji H, 2012, CURR OPIN ENV SUST, V4, P115, DOI 10.1016/j.cosust.2012.01.005
   Voss JP, 2011, ECOL SOC, V16
   Wesche S, 2010, SPRINGER SER ENV MAN, P107, DOI 10.1007/978-3-642-12194-4_6
   Westley F, 2011, AMBIO, V40, P762, DOI 10.1007/s13280-011-0186-9
   Wolfson DJ, 2012, GOVERNANCE, V25, P661, DOI 10.1111/j.1468-0491.2012.01595.x
   Wyborn CA, 2015, ECOL SOC, V20, DOI 10.5751/ES-06510-200111
   Yin R. K., 2009, CASE STUDY RES DESIG
   York AM, 2011, POLICY SCI, V44, P345, DOI 10.1007/s11077-011-9138-2
   Young OR, 2013, INT ENVIRON AGREEM-P, V13, P87, DOI 10.1007/s10784-012-9204-z
   Young OR, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P115
NR 108
TC 19
Z9 22
U1 0
U2 54
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0032-2687
EI 1573-0891
J9 POLICY SCI
JI Policy Sci.
PD DEC
PY 2015
VL 48
IS 4
BP 463
EP 489
DI 10.1007/s11077-015-9222-0
PG 27
WC Public Administration; Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Public Administration; Social Sciences - Other Topics
GA CV8YI
UT WOS:000364573800004
DA 2025-01-10
ER

PT J
AU Brugger, J
   Crimmins, M
AF Brugger, Julie
   Crimmins, Michael
TI The art of adaptation: Living with climate change in the rural American
   Southwest
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change; Adaptation; Case study; American Southwest;
   Nature-society mutuality; Anthropocene
ID VULNERABILITY; VARIABILITY; ECOLOGY; SCIENCE
AB As adaptation has come to the forefront in climate change discourse, research, and policy, it is crucial to consider the effects of how we interpret the concept. This paper draws attention to the need for interpretations that foster policies and institutions with the breadth and flexibility to recognize and support a wide range of locally relevant adaptation strategies. Social scientists have argued that, in practice, the standard definition of adaptation tends to prioritize economic over other values and technical over social responses, draw attention away from underlying causes of vulnerability and from the broader context in which adaptive responses take place, and exclude discussions of inequality, justice, and transformation. In this paper, we discuss an alternate understanding of adaptation, which we label "living with climate change," that emerged from an ethnographic study of how rural residents of the U.S. Southwest understand, respond to, and plan for weather and climate in their daily lives, and we consider how it might inform efforts to develop a more comprehensive definition. The discussion brings into focus several underlying features of this lay conception of adaptation, which are crucial for understanding how adaptation actually unfolds on the ground: an ontology based on nature society mutuality; an epistemology based on situated knowledge; practice based on performatively adjusting human activities to a dynamic biophysical and social environment; and a placed-based system of values. We suggest that these features help point the way toward a more comprehensive understanding of climate change adaptation, and one more fully informed by the understanding that we are living in the Anthropocene. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Brugger, Julie] Univ Arizona, Inst Environm, Tucson, AZ 85719 USA.
   [Crimmins, Michael] Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ 85721 USA.
C3 University of Arizona; University of Arizona
RP Brugger, J (corresponding author), Univ Arizona, Inst Environm, 715 North Pk Ave,POB 210156, Tucson, AZ 85719 USA.
EM julieb@uw.edu; crimmins@email.arizona.edu
FU National Oceanic and Atmospheric Administration's Climate Program Office
   [NA07OAR4310382]; Climate Assessment for the Southwest program at the
   University of Arizona; U.S. Global Change Research Program's National
   Climate Assessment
FX This work was supported by the National Oceanic and Atmospheric
   Administration's Climate Program Office through grant NA07OAR4310382
   with the Climate Assessment for the Southwest program at the University
   of Arizona in support of the U.S. Global Change Research Program's
   National Climate Assessment. We would like to thank two anonymous
   reviewers and Dan Ferguson and Zack Guido at CLIMAS for their helpful
   comments.
CR [Anonymous], 2003, FIELD METHOD, DOI DOI 10.1177/1525822X02239569
   [Anonymous], THESIS U WASHINGTON
   [Anonymous], NAT CLIM AS IN PRESS
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Batterbury S. P. J., 1996, Agriculture and Human Values, V13, P12, DOI 10.1007/BF01538223
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Coles AR, 2009, NAT RESOUR FORUM, V33, P297, DOI 10.1111/j.1477-8947.2009.01253.x
   Collins K., 2009, Environmental Policy and Governance, V19, P351, DOI 10.1002/eet.520
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Crane TA, 2011, NJAS-WAGEN J LIFE SC, V57, P179, DOI 10.1016/j.njas.2010.11.002
   Crane TA, 2010, WEATHER CLIM SOC, V2, P44, DOI 10.1175/2009WCAS1006.1
   Creswell J. W., 2012, QUAL INQ
   Crutzen P.J., 2000, IGBP Global Change Newsletter, V41, P12
   Darier Eric., 1999, DISCOURSES ENV
   Demeritt D, 2001, ANN ASSOC AM GEOGR, V91, P307, DOI 10.1111/0004-5608.00245
   Dryzek J.S., 1997, POLITICS EARTH
   Forsyth T., 2003, CRITICAL POLITICAL E
   Füssel HM, 2007, SUSTAIN SCI, V2, P265, DOI 10.1007/s11625-007-0032-y
   Gleick PH, 2010, P NATL ACAD SCI USA, V107, P21300, DOI 10.1073/pnas.1005473107
   Head L, 2010, PROG HUM GEOG, V34, P234, DOI 10.1177/0309132509338978
   Hoerling M.P., 2007, SW HYDROLOGY     JAN, P18
   Hunjens P., 2012, GLOBAL ENVIRON CHANG, V22, P67
   Jennings TL, 2011, WEATHER CLIM SOC, V3, P238, DOI 10.1175/WCAS-D-11-00056.1
   Karl T. R., 2009, Global climate change impacts in the United States
   Kellogg W.K., 2013, FDN UNDATED PERCEPTI
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Lal P, 2011, MITIG ADAPT STRAT GL, V16, P819, DOI 10.1007/s11027-011-9295-9
   Liverman DM, 2009, J HIST GEOGR, V35, P279, DOI 10.1016/j.jhg.2008.08.008
   Löf A, 2010, ENVIRON EDUC RES, V16, P529, DOI 10.1080/13504622.2010.505429
   Lorenzoni I, 2007, FUTURES, V39, P65, DOI 10.1016/j.futures.2006.03.005
   McLeman R, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P296
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   National Climatic Data Center (NCDC), 2009, CLIM 2002 MAY SW REG
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   O'Brien K, 2007, CLIM POLICY, V7, P73, DOI 10.1080/14693062.2007.9685639
   Orlove B, 2005, ENVIRON SCI POLICY, V8, P589, DOI 10.1016/j.envsci.2005.06.009
   Orlove B, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P131
   Overpeck J, 2010, SCIENCE, V328, P1642, DOI 10.1126/science.1186591
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Pielke RA, 2005, ENVIRON SCI POLICY, V8, P548, DOI 10.1016/j.envsci.2005.06.013
   Pierce DW, 2008, J CLIMATE, V21, P6425, DOI 10.1175/2008JCLI2405.1
   Ribot J, 2011, GLOBAL ENVIRON CHANG, V21, P1160, DOI 10.1016/j.gloenvcha.2011.07.008
   Richards P., 1989, Farmer First: farmer innovation and agricultural research, P39
   Richards P., 1993, An Anthropological Critique of Development: The Growth of Ignorance
   Russell Bernard H., 2016, ANAL QUALITATIVE DAT
   Scannell L, 2010, J ENVIRON PSYCHOL, V30, P1, DOI 10.1016/j.jenvp.2009.09.006
   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]
   Scott James C, 2020, SEEING STATE CERTAIN
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   Sheppard PR, 2002, CLIM RES, V21, P219, DOI 10.3354/cr021219
   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
   Stone GD, 2007, CURR ANTHROPOL, V48, P67, DOI 10.1086/508689
   Vásquez-León M, 2003, GLOBAL ENVIRON CHANG, V13, P159, DOI 10.1016/S0959-3780(03)00034-7
   Walker PA, 2003, PROG HUM GEOG, V27, P7, DOI 10.1191/0309132503ph410oa
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Williams AP, 2010, P NATL ACAD SCI USA, V107, P21289, DOI 10.1073/pnas.0914211107
NR 60
TC 33
Z9 38
U1 0
U2 46
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 1830
EP 1840
DI 10.1016/j.gloenvcha.2013.07.012
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 292DB
UT WOS:000329881300043
DA 2025-01-10
ER

PT J
AU Tibbetts, JR
   van Proosdij, D
AF Tibbetts, Jeremy R.
   van Proosdij, Danika
TI Development of a relative coastal vulnerability index in a macro-tidal
   environment for climate change adaptation
SO JOURNAL OF COASTAL CONSERVATION
LA English
DT Article
DE Coastal vulnerability assessment; Geographic information system; Python
   scripting; Storm surge; Shoreline
ID SEA-LEVEL RISE; EAST-COAST; SYSTEM; BAY
AB Coastal vulnerability assessments to climate change impacts have been conducted in the past. However, few if any account for the highly variable risk associated with tidal stage in macro-tidal environments. The purpose of this research was to develop a geomatics tool which interactively determines the biophysical vulnerability of a macro-tidal estuary in the Bay of Fundy to varying levels of storm surge and tide state. A conceptual framework was designed to illustrate the relative interrelationships between exposure conditions (surge height, tidal stage), biophysical state (freeboard, exposure, width of foreshore, intertidal slope, observed erodibility, shore protection) and morphological resilience condition. This conceptual framework was then used to develop a dynamic, custom Python programming script within ArcGIS 9.3 to calculate coastal vulnerability for user determined combinations of surge height and tide state. The analysis was conducted for four coastlines, backshore, upper foreshore, middle foreshore and lower foreshore, to reflect varying biophysical states with varying tide levels. The results of the tool were compared with known areas of concern (high erosion, dyke overtopping), as determined by historical records, local expert knowledge and GIS analysis of aerial photography. The number of known locations of concern is lower than that of the results produced by the tool. This is most likely due to the results being analyzed at extreme water levels, greater than higher high water large tide. However, this estimation of vulnerability may limit negative impacts of climate change by highlighting vulnerable areas prior to an event, allowing coastal managers and planners to install measures to reduce the vulnerability and enhance the adaptive capacity of local communities.
C1 [Tibbetts, Jeremy R.; van Proosdij, Danika] St Marys Univ, Dept Geog, Halifax, NS B3H 3C3, Canada.
C3 Saint Marys University - Canada
RP van Proosdij, D (corresponding author), St Marys Univ, Dept Geog, 923 Robie St, Halifax, NS B3H 3C3, Canada.
EM dvanproo@smu.ca
FU Atlantic Climate Adaptation Solutions Association (ACASA); Natural
   Resources Canada
FX We would like to thank Barbara Pietersma, GIS Project Manager, MP_SpARC,
   Saint Mary's University, Greg Baker, Instrument Technician, MP_SpARC,
   Saint Mary's University, Ken Carroll and Daryl Hingley, Nova Scotia
   Department of Agriculture, Don Forbes, Geological Survey of Canada
   (GSC), Philip Giles, Department of Geography, Saint Mary's University,
   Devon Olivola Eulie, Department of Geological Sciences at East Carolina
   University. Funding for this project was provided by the Atlantic
   Climate Adaptation Solutions Association (ACASA) and Natural Resources
   Canada administered by Nova Scotia Environment Climate Change
   Secretariat.
CR Abuodha Pamela A. O., 2010, Journal of Coastal Conservation, V14, P189, DOI 10.1007/s11852-010-0097-0
   [Anonymous], 1999, GIS and Multicriteria Decision Analysis
   Atlantic Canadian Adaptation Solutions Association, 2012, INCR CLIM CHANG AD C
   Boruff BJ, 2005, J COASTAL RES, V21, P932, DOI 10.2112/04-0172.1
   Bryan B, 2001, ENVIRON MODEL ASSESS, V6, P57, DOI 10.1023/A:1011515213106
   Capobianco M, 1999, J COASTAL RES, V15, P701
   Cooper JAG, 1998, J COASTAL RES, V14, P512
   Cutter SL, 1996, PROG HUM GEOG, V20, P529, DOI 10.1177/030913259602000407
   Davies J.L., 1980, Geographical Variations in Coastal Development, V2nd, DOI DOI 10.1016/j.quascirev.2008.08.033
   Davis R., 2004, BEACHES COASTS
   Desplanque C, 2001, GEOSCI CAN, V28, P1
   Desplanque C., 2004, Atl. Geol, V40, P1, DOI DOI 10.4138/729
   Dolan AH, 2006, J COASTAL RES, P1316
   Fedra K., 1998, EEZ TECHNOLOGY, V3, P171
   Fonseca MS., 2010, WEMo (Wave Expose Model) for use in ecological forecasting
   Garmendia E, 2010, OCEAN COAST MANAGE, V53, P385, DOI 10.1016/j.ocecoaman.2010.05.001
   Gornitz V.M., 1994, J. Coast. Res, V12, P327
   Government of Nova Scotia Nova Scotia Environment, 2009, WETL CONV P IN PRESS
   Greenberg DA, 2012, ATMOS OCEAN, V50, P261, DOI 10.1080/07055900.2012.668670
   Hart DE, 2009, J COASTAL RES, V25, P131, DOI 10.2112/07-0960.1
   Hinton AC, 2000, NAT HAZARDS, V21, P173, DOI 10.1023/A:1008131002450
   Jackson C.W., 2010, Basic user guide for the AMBUR package for R
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Klein RJT, 1999, AMBIO, V28, P182
   Klein RJT, 1998, GEOGR J, V164, P259, DOI 10.2307/3060615
   Kosloski A, 2008, PLANNING CLIMATE CHA
   Kumar TS, 2010, J COASTAL RES, V26, P523, DOI 10.2112/09-1186.1
   Leonard LA, 2002, J COASTAL RES, P459
   MASSELINK G, 1993, J COASTAL RES, V9, P785
   McLaughlin S, 2002, J COASTAL RES, P487
   Möller I, 2002, J COASTAL RES, P506
   Moller I., 2003, Wetland valuation: State of the art and opportunities for further development, P73
   Moore LJ, 2000, J COASTAL RES, V16, P111
   Morton RA., 2004, National assessment of shoreline change: Part 1, DOI DOI 10.1007/s10661-008-0366-7
   O'Carroll S., 2006, Impacts of sea-level rise and climate change on the coastal zone of Southeastern New Brunswick, P324
   Owens EH, 1994, INTERNAL REPORT
   Özyurt G, 2010, J COASTAL RES, V26, P265, DOI 10.2112/08-1055.1
   Pendleton EA., 2004, US Geological Survey Open-File Report 2004-1020
   Pendleton EA, 2010, J COASTAL RES, V26, P176, DOI 10.2112/08-1102.1
   Rao K. Nageswara, 2008, Journal of Coastal Conservation, V12, P195, DOI 10.1007/s11852-009-0042-2
   Richards W, 2011, ARCHITECT, V100, P27
   Shaw J, 1998, CAN GEOGR-GEOGR CAN, V42, P365, DOI 10.1111/j.1541-0064.1998.tb01352.x
   Sherin AG, 2003, P COST GIS 2003 5 IN
   Sterr H., 2000, Climate Change and Coastal Zones: An Overview of the State-Of-The-Art on Regional and Local Vulnerability Assessment
   Thieler E.R., 2000, NATL ASSESSMENT COAS, DOI [10.3133/ofr99593, DOI 10.3133/OFR99593]
   Thumerer T, 2000, INT J GEOGR INF SCI, V14, P265, DOI 10.1080/136588100240840
   van Proosdij D, 2013, J COASTAL RES, pxxx
   van Proosdij D., 2012, Shore zone characterization for climate change adaptation in the Bay of Fundy
   Vasseur L., 2008, IMPACT ADAPTATION, P119
   Webster T., 2011, Lidar processing and Flood Risk Mapping for Coastal Areas in the District of Lunenburg, Town and District of Yarmouth, Amherst, County Cumberland, Wolfville and Windsor
   Wu SY, 2002, CLIM RES, V22, P255, DOI 10.3354/cr022255
NR 51
TC 24
Z9 26
U1 1
U2 60
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1400-0350
EI 1874-7841
J9 J COAST CONSERV
JI J. Coast. Conserv.
PD DEC
PY 2013
VL 17
IS 4
BP 775
EP 797
DI 10.1007/s11852-013-0277-9
PG 23
WC Biodiversity Conservation; Environmental Sciences; Marine & Freshwater
   Biology; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology; Marine &
   Freshwater Biology; Water Resources
GA 259AI
UT WOS:000327499400007
DA 2025-01-10
ER

PT J
AU Douglas, EM
   Kirshen, PH
   Paolisso, M
   Watson, C
   Wiggin, J
   Enrici, A
   Ruth, M
AF Douglas, Ellen M.
   Kirshen, Paul H.
   Paolisso, Michael
   Watson, Chris
   Wiggin, Jack
   Enrici, Ashley
   Ruth, Matthias
TI Coastal flooding, climate change and environmental justice: identifying
   obstacles and incentives for adaptation in two metropolitan Boston
   Massachusetts communities
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Climate change; Environmental justice; Flooding; Sea level
   rise; Storm surge; Vulnerability
ID SEA-LEVEL RISE; HEALTH; KNOWLEDGE; IMPACTS; RACE
AB We explored the possible future impacts of increased coastal flooding due to sea level rise and the potential adaptation responses of two urban, environmental justice communities in the metropolitan Boston area of Massachusetts. East Boston is predominantly a residential area with some industrial and commercial activities, particularly along the coastal fringe. Everett, a city to the north of Boston, has a diversified industrial and commercial base. While these two communities have similar socioeconomic characteristics, they differ substantially in the extent to which residents would be impacted by increased coastal flooding. In East Boston, a large portion of residents would be flooded, while in Everett, it is the commercial/industrial districts that are primarily vulnerable. Through a series of workshops with residents in each community, we found that the target populations do not have an adaptation perspective or knowledge of any resources that could assist them in this challenge. Furthermore, they do not feel included in the planning processes within their communities. However, a common incentive for both communities was an intense commitment to their communities and an eagerness to learn more and become actively engaged in decisions regarding climate change adaptation. The lessons that can be applied to other studies include 1) images are powerful tools in communicating concepts, 2) understanding existing cultural knowledge and values in adaptation planning is essential to the planning process and 3) engaging local residents at the beginning of the process can create important educational opportunities and develop trust and consensus that is necessary for moving from concept to implementation.
C1 [Douglas, Ellen M.; Wiggin, Jack] Univ Massachusetts, Urban Harbors Inst, Boston, MA 02125 USA.
   [Kirshen, Paul H.] Univ New Hampshire, Durham, NH 03824 USA.
   [Paolisso, Michael; Enrici, Ashley] Univ Maryland, Dept Anthropol, College Pk, MD 20742 USA.
   [Ruth, Matthias] Univ Maryland, Ctr Integrat Environm Res, College Pk, MD 20742 USA.
C3 University of Massachusetts System; University of Massachusetts Boston;
   University System Of New Hampshire; University of New Hampshire;
   University System of Maryland; University of Maryland College Park;
   University System of Maryland; University of Maryland College Park
RP Douglas, EM (corresponding author), Univ Massachusetts, Urban Harbors Inst, 100 Morrissey Blvd, Boston, MA 02125 USA.
EM ellen.douglas@umb.edu
FU NOAA [NAO08OAR4310722]
FX This research was funded by a grant from the NOAA Sectoral Applications
   Research Program (SARP; NAO08OAR4310722). We gratefully acknowledge the
   dedication of the other members of our team: Brenda Cotto-Escalera of
   NOAH for her tireless leadership in the East Boston community; Antonio
   Amaya Iraheta and Maria Alamo of La Comunidad for organizing the Everett
   meetings; Chris Watson, for his mapping expertise and all around
   helpfulness; Megan Rising, Laura Kuhl and Jeff Cegan of Tufts University
   for their help with interviews and evacuation research; Matt Schultz of
   Woods Hole Group, Inc., Scott Goodwin of the University of Maryland
   College Park and all the East Boston and Everett residents who attended
   our workshops.
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Agardy T., 2005, ECOSYSTEMS HUMAN WEL, P513
   Alario MV, 2010, SOCIOL INQ, V80, P500, DOI 10.1111/j.1475-682X.2010.00344.x
   Allen BL, 2007, SOC STUD SCI, V37, P103, DOI 10.1177/0306312706069431
   [Anonymous], AFR AM CLIM CHANG UN
   [Anonymous], 1996, ANTHROPAC 4 0 USERS
   [Anonymous], 1990, STRAT AD SEA LEV RIS
   [Anonymous], 2009, INF DEC CHANG CLIM, DOI DOI 10.17226/12626
   [Anonymous], 2009, COASTAL SENSITIVITY
   [Anonymous], 2010, AD IMP CLIM CHANG AM
   [Anonymous], HUM IMP REP CLIM CHA
   Bindoff NL, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P385
   Boston Redevelopment Authority (BRA), 2003, 571 BRA PUBL RES DEP
   Checker Melissa., 2005, Polluted promises: Environmental racism and the search for justice in a Southern town
   Chess C, 2005, SOC NATUR RESOUR, V18, P267, DOI 10.1080/08941920590908132
   Clark G.E., 1998, Mitigation and Adaptation Strategies for Global Change, V3, P59, DOI DOI 10.1023/A:1009609710795
   Diawara MM, 2006, ENVIRON GEOCHEM HLTH, V28, P297, DOI 10.1007/s10653-005-9000-6
   Doherty TJ, 2011, AM PSYCHOL, V66, P265, DOI 10.1037/a0023141
   Downey L, 2005, SOCIOL SPECTRUM, V25, P651, DOI 10.1080/02732170500256633
   Downey L, 2007, URBAN STUD, V44, P953, DOI 10.1080/00420980701256013
   Easterling W.E., 2004, COPING GLOBAL CLIMAT
   Ehrmann J.R., 1999, The Consensus Building Handbook
   Elliott JR, 2006, SOC SCI RES, V35, P295, DOI 10.1016/j.ssresearch.2006.02.003
   Frumhoff P. C., CONFRONTING CLIMATE
   Harlan SL, 2011, CURR OPIN ENV SUST, V3, P126, DOI 10.1016/j.cosust.2011.01.001
   Johnston BarbaraRose., 2011, Life and Death Matters: Human Rights, Environment, and Social Justice
   Katsman C, 2008, CLIMATIC CHANGE, V91, P351, DOI 10.1007/s10584-008-9442-9
   Kirshen P, 2011, CLIMATIC CH IN PRESS
   Kirshen P, 2008, MITIG ADAPT STRAT GL, V13, P437, DOI 10.1007/s11027-007-9130-5
   Kirshen P, 2008, CLIMATIC CHANGE, V90, P453, DOI 10.1007/s10584-008-9398-9
   Krieg EJ, 2005, SOC NATUR RESOUR, V18, P199, DOI 10.1080/08941920590908015
   Kruskal J.B., 1978, Quantitative Applications in the Social Sciences, V11
   Lambert TW, 2006, SCI TOTAL ENVIRON, V368, P471, DOI 10.1016/j.scitotenv.2006.03.012
   Larsen K, 2011, FUTURES, V43, P413, DOI 10.1016/j.futures.2011.01.007
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mohai P, 2009, ANNU REV ENV RESOUR, V34, P405, DOI 10.1146/annurev.environ.082508-094348
   *NAT RES CAN, 2002, COAST ZON CLIM CHANG
   Norgaard KM, 2006, ORGAN ENVIRON, V19, P347, DOI 10.1177/1086026606292571
   Page EA, 2007, POLIT STUD-LONDON, V55, P225, DOI 10.1111/j.1467-9248.2007.00649.x
   Paolisso M, 2007, ANN ANTHROPL PRACT, V28, P123, DOI 10.1525/napa.2007.28.1.123
   Paolisso Michael., 2003, WEATHER CLIMATE CULT, P61
   Pardaens AK, 2011, CLIM DYNAM, V36, P2015, DOI 10.1007/s00382-009-0738-x
   Pastor M, 2006, POLICY STUD J, V34, P337, DOI 10.1111/j.1541-0072.2006.00176.x
   Pezzoli K, 2007, ENVIRON HEALTH PERSP, V115, P564, DOI 10.1289/ehp.9817
   Pfeffer WT, 2008, SCIENCE, V321, P1340, DOI 10.1126/science.1159099
   Pugh D., 2004, Changing Sea Levels: Effects of Tides, Weather and Climate
   Resnik DB, 2007, BIOETHICS, V21, P230, DOI 10.1111/j.1467-8519.2007.00547.x
   Rosenzweig C, 2010, ANN NY ACAD SCI, V1196, P13, DOI 10.1111/j.1749-6632.2009.05306.x
   Ruth M, 2009, NEW HORIZ ENVIRON EC, P1
   Solomon S, 2009, P NATL ACAD SCI USA, V106, P1704, DOI 10.1073/pnas.0812721106
   Soskolne CL, 2007, EPIDEMIOLOGY, V18, P162, DOI 10.1097/01.ede.0000248480.19983.ba
   Stakhiv E, 2010, COLORADO WATER I INF, V109
   Stallworthy M, 2009, J LAW SOC, V36, P55, DOI 10.1111/j.1467-6478.2009.00456.x
   Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106
   Walker G, 2010, ENVIRON IMPACT ASSES, V30, P312, DOI 10.1016/j.eiar.2010.04.005
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   Watson C, 2007, ASSESSING VULN UNPUB
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Weller S, 1993, QUALITATIVE RES METH, V10
   Wilbanks T, 2008, ANAL EFFECTS GLOBAL
   Yin JJ, 2009, NAT GEOSCI, V2, P262, DOI 10.1038/NGEO462
   Yohe G, 2009, CLIMATIC CHANGE, V95, P325, DOI 10.1007/s10584-009-9614-2
   ,, 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 63
TC 59
Z9 85
U1 2
U2 132
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 JUN
PY 2012
VL 17
IS 5
BP 537
EP 562
DI 10.1007/s11027-011-9340-8
PG 26
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 933JD
UT WOS:000303355800005
DA 2025-01-10
ER

PT C
AU Oulu, MO
   Boon, EK
AF Oulu, Martin Ochieng
   Boon, Emmanuel Kwesi
BE LealFilho, W
TI Environmental Mainstreaming in Development Policy and Planning in
   Sub-Saharan Africa: A Case Study from Kenya
SO EXPERIENCES OF CLIMATE CHANGE ADAPTATION IN AFRICA
SE Climate Change Management
LA English
DT Proceedings Paper
CT Conference on Climate Change and Natural Resource Use in Eastern Africa:
   Impact, Adaptation and Mitigation
CY MAY 19-21, 2010
CL Multimedia Univ Coll, Nairobi, KENYA
SP Ecolog Soc Eastern Africa
HO Multimedia Univ Coll
DE Development; Environmental mainstreaming; Climate change; Planning;
   Kenya
ID INTEGRATION
AB The paper aims to map Kenya's national development planning framework, investigate any environmental (including climate change) mainstreaming (EM) strategies employed, and identify the prospects and challenges for EM furtherance. The country's heavy reliance on environment and natural resources for socio-economic development makes it particularly vulnerable to climate change. Effective EM will thus ensure better resource management and utilisation, improve livelihoods and enhance climate change adaptation. EM strategies are investigated through a review of published literature, government policy documents and statements, and key informant interviews with representatives of institutions and organisations involved in national development policy and planning. Effectiveness of normative, organisational and procedural EM strategies employed is evaluated from a horizontal environmental policy integration perspective. The country's political commitment and strategic vision, administrative culture and practices, assessment of and participation in planning, monitoring and learning from experience, and use of policy instruments to achieve EM are analysed. The participatory and integrated district development planning framework offers a unique opportunity for EM. However, absence of environmental representation in key development planning agencies and processes, no coherent national sustainable development strategy or office to coordinate EM, non-greening of public procurement, and non-diversification of policy instruments are identified as major challenges. The paper is among the very few studies that have investigated cross-sectoral EM at a national level in Africa and will greatly contribute towards the achievement of Agenda 21s call for the integration of environment into national development policy and planning processes. The findings can be applied across sub-Saharan countries and beyond.
C1 [Oulu, Martin Ochieng] Strathmore Univ, Sch Tourism & Hospitality, POB 100828, Nairobi 00101, Kenya.
   [Boon, Emmanuel Kwesi] Vrije Univ Brussel, Dept Human Ecol, B-1090 Brussels, Belgium.
C3 Strathmore University; Vrije Universiteit Brussel
RP Oulu, MO (corresponding author), Strathmore Univ, Sch Tourism & Hospitality, POB 100828, Nairobi 00101, Kenya.
EM ochiengmoulu@gmail.com; eboon@vub.ac.be
CR [Anonymous], 2009, CHALLENGES ENV MAINS
   [Anonymous], 2006, Africa Environment Outlook 2: Our Environment, Our Wealth, DOI 92-807-2691-9
   [Anonymous], 2010, National climate change response strategy
   Assey, 2007, ENV HEART TANZANIAS
   Bird N, 2009, GOVT I PUBLIC EXPEND
   Cline-Cole R, 2006, POLITICAL EC, V33, P377
   ECA (Economic Commission for Africa), 2005, NATIONAL COUNCILS SU
   EEA (European Environment Agency), 2005, ENV POLICY
   Fang Q. H., 2006, Aquatic Ecosystem Health & Management, V9, P73, DOI 10.1080/14634980500535875
   GoK, 2007, THIRD ANNUAL PROGRES
   GoK, 2006, ANNUAL PROGRESS REPO
   GoK, 2000, KENYA GAZETTE SUPPLE, P43
   GoK, 2004, KENYA GAZETTE NOTICE, VCVI, P2107
   GoK, 2006, MINISTRY OF ENV NATU
   GoK, 1999, SESSIONAL PAPER NO 6
   GoK (Government of Kenya), 1995, DISTRICT FOCUS RURAL
   Herodes M., 2007, Environmental policy integration at EU level-a literature review
   Lafferty W, 2007, ISSUE BALANCE TRADE
   Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254
   Matland R.E., 1995, Journal of Public Administration Research Theory, V5, P145, DOI DOI 10.1093/OXFORDJOURNALS.JPART.A037242
   Micicwitz P, 2009, CLIMATE POLICY INTEG
   NEMA, 2005, NEMA STRATEGIC PLAN
   Nilsson Mans., 2003, J ENVIRON POL PLAN, V5, P333, DOI [DOI 10.1080/1523908032000171648, 10.1080/1523908032000171648]
   *OECD, 2003, PUBLIC PROCUREMENT L
   Persson A., 2004, ENV POLICY INTEGRATI
   Roberts Jane., 2004, Environmental Policy
   Ross A, 2008, AUST J PUBL ADMIN, V67, P245, DOI 10.1111/j.1467-8500.2008.00585.x
   Russel D., 2007, European Environment, V17, P189, DOI 10.1002/eet.449
   UNCED, 1992, EARTH SUMMIT92
   World Commission on Environment and Development, 1987, Our Psychiatric Future
NR 30
TC 1
Z9 1
U1 0
U2 11
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1610-2010
BN 978-3-642-22314-3
J9 CLIM CHANG MANAG
PY 2011
BP 217
EP +
DI 10.1007/978-3-642-22315-0_13
PG 4
WC Environmental Sciences; Environmental Studies
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology
GA BGF55
UT WOS:000322747100013
DA 2025-01-10
ER

PT J
AU Sádaba, J
   Alonso, Y
   Latasa, I
   Luzarraga, A
AF Sadaba, Juan
   Alonso, Ylenia
   Latasa, Itxaro
   Luzarraga, Arantzazu
TI Towards Resilient and Inclusive Cities: A Framework for Sustainable
   Street-Level Urban Design
SO URBAN SCIENCE
LA English
DT Article
DE sustainable urban design; street-level interaction; urban furniture;
   nature-based solutions; climate adaptation; modular design; urban
   resilience; inclusive cities
ID CHALLENGES
AB This study addresses the need for sustainable urban design, focusing on enhancing street-level interactions in line with the Sustainable Development Goals (SDG 11). The research specifically examines the evolving role of urban furniture and infrastructure in creating inclusive, resilient cities that respond to current challenges, such as climate adaptation and citizen accessibility. Using a qualitative mixed-methods approach, this study combines keyword analysis and semi-structured interviews with urban design experts, and comparative case studies in the Basque Country. Key themes emerged, including sustainable water management, Nature-based Solutions, technological integration, and pedestrian prioritization. These findings underscore a shift from static, object-oriented urban components to adaptable, modular designs that balance functionality with environmental and social sustainability. This study concludes with a checklist for urban furniture design, offering practical guidelines that will inform the next research phase: prototyping innovative urban furniture solutions to support more sustainable and inclusive city environments.
C1 [Sadaba, Juan; Alonso, Ylenia; Latasa, Itxaro; Luzarraga, Arantzazu] Univ Basque Country Euskal Herriko Unibertsitatea, Dept Architecture, Donostia San Sebastian 20018, Spain.
RP Sádaba, J (corresponding author), Univ Basque Country Euskal Herriko Unibertsitatea, Dept Architecture, Donostia San Sebastian 20018, Spain.
EM sadaba@ehu.eus; ylenialonso@gmail.com; itxaro.latasa@ehu.eus;
   arantzazu.luzarraga@ehu.eus
FU 2022 University-Business-Society call from the University of the Basque
   Country [2022, US22/21]
FX This work was funded under the 2022 University-Business-Society call
   from the University of the Basque Country with identification code
   number US22/21. The funders had no involvement in the study design, data
   analysis, decision to publish, or preparation of the manuscript.
CR Abusaada H, 2021, AIN SHAMS ENG J, V12, P3389, DOI 10.1016/j.asej.2021.04.019
   [Anonymous], 1991, Total Design: Integrated Methods for Successful Product Engineering
   Blaikie N., 2019, DESIGNING SOCIAL RES
   Booth W.C., 2008, CRAFT RES, V3rd
   Brandt E., 2007, EXPT DESIGN RES GENE
   Braun V, 2012, APA HDB RES METHODS, V2, P57
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Chrysoulakis N., 2019, ThinkNature Nature-Based Solutions Handbook, DOI 10.26225/jerv-w202
   Coaffee J, 2008, ENERG POLICY, V36, P4633, DOI 10.1016/j.enpol.2008.09.048
   Darier E., 1999, Local Environment, V4, P317, DOI DOI 10.1080/13549839908725602
   Fiddler M., 2024, The Guardian
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Friedman A., 2021, Fundamentals of Sustainable Urban Design, P181, DOI [10.1007/978-3-030-60865-119, DOI 10.1007/978-3-030-60865-119]
   Gaver William, 2012, P SIGCHI C HUM FACT, P937, DOI DOI 10.1145/2207676.2208538
   Geddes Patrick., 1915, CITIES EVOLUTION
   Gehl J., 2013, How To study public life. how to study public life, DOI [DOI 10.5822/978-1-61091-525-0, 10.5822/978-1-61091-525-0_1, DOI 10.5822/978-1-61091-525-0_1]
   Gibberd J., 2015, Designing Sustainable Cities: From Theory to Practice
   Godin D., 2014, P DRS, P1667
   Gomez-Baggethun Erik, 2013, P175
   Gómez-Carmona O, 2019, J AMB INTEL HUM COMP, DOI 10.1007/s12652-019-01577-8
   Grafakos S, 2019, CLIMATIC CHANGE, V154, P87, DOI 10.1007/s10584-019-02394-w
   Graham S., 2005, Telecommunications and the city: Electronic spaces, urban places
   Haaland C, 2015, URBAN FOR URBAN GREE, V14, P760, DOI 10.1016/j.ufug.2015.07.009
   Hall Edward T., 1966, The hidden dimension
   Harrison C., 2011, THEORY SMART CITIES
   Holton J. A., 2007, The Sage Handbook of Grounded Theory, P265, DOI [DOI 10.4135/9781848607941.N13, 10.4135/9781848607941.n13]
   Jacobs JCJ, 2012, CITIES FUTURE SERIES, P251
   Ariza SLJ, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11082312
   Krippendorff K., 2018, CONTENT ANAL INTRO I
   Kvale S., 2007, DOING INTERVIEWS, DOI DOI 10.4135/9781849208963
   Lenzi S, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.570741
   Luck R, 2019, DESIGN STUD, V65, P152, DOI 10.1016/j.destud.2019.11.001
   Lyster Clare., 2016, Learning from Logistics: How Network Change our Cities
   Mitropoulos L, 2023, FUTURE TRANSP-BASEL, V3, P498, DOI 10.3390/futuretransp3020029
   MOORE Rowan., 2017, The Guardian
   Mosannenzadeh F, 2014, TEMA, P683
   Muratovski G., 2015, RES DESIGNERS GUIDE
   Nesshöver C, 2017, SCI TOTAL ENVIRON, V579, P1215, DOI 10.1016/j.scitotenv.2016.11.106
   Patton M. Q., 2002, Qualitative Research and Evaluation Methods, DOI DOI 10.2307/330063
   Raza A, 2022, LAND-BASEL, V11, DOI 10.3390/land11081139
   Risley A, 2019, PS-POLIT SCI POLIT, V52, P733, DOI 10.1017/S1049096519000544
   Roulston K., 2010, REFLECTIVE INTERVIEW, P9
   Sdaba J., 2017, Max Context
   Sdaba J., 2023, Blucher Des. Proc, V11, P128, DOI [10.5151/ead2023-1BIL-01Full-10Sadaba-et-al, DOI 10.5151/EAD2023-1BIL-01FULL-10SADABA-ET-AL]
   Sheller Mimi., 2018, MOBILITY JUSTICE POL
   Sirunyan AM, 2020, EUR PHYS J C, V80, DOI [10.1140/epjc/s10052-020-08562-y, 10.1140/epjc/s10052-018-5567-9]
   Stappers P.J., 2017, The Encyclopedia of Human-Computer Interaction, V2nd ed., P1
   Stokes J., 2003, How to do media and cultural studies
   Strauss AL., 1990, Basics of qualitative research: grounded theory procedures and techniques, V2
   Sudjic Deyan., 2016, The Language of Cities
   UNDP, 2021, Transforming Our World: the 2030 Agenda for Sustainable Development
   Wang D., 2020, Mobility, Sociability and Well-Being of Urban Living
   Wheeler SM., 2014, Sustainable urban development reader, V3, DOI [10.4324/9781315770369, DOI 10.4324/9781315770369]
   Zimmer L., 1993, J. Inter. Des. Educ. Res, V18, P25, DOI [10.1111/j.1939-1668.1993.tb00069.x, DOI 10.1111/J.1939-1668.1993.TB00069.X]
   Zimmerman John, 2010, P 8 ACM C DES INT SY, P310, DOI DOI 10.1145/1858171.1858228
NR 56
TC 0
Z9 0
U1 2
U2 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2413-8851
J9 URBAN SCI
JI Urban Sci.
PD DEC
PY 2024
VL 8
IS 4
AR 264
DI 10.3390/urbansci8040264
PG 29
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 Q4O4B
UT WOS:001384491900001
OA gold
DA 2025-01-10
ER

PT J
AU Li, PZ
   Xiao, X
   Seekamp, E
AF Li, Peizhe
   Xiao, Xiao
   Seekamp, Erin
TI Climate adaptation planning for cultural heritages in coastal tourism
   destinations: A multi-objective optimization approach
SO TOURISM MANAGEMENT
LA English
DT Article
DE Decision support tools; Historic buildings; Cost-efficiency; Cultural
   resource management; Historic preservation; Machine learning; Climate
   change
ID RESOURCES; IMPACTS; CONSERVATION; SUPPORT; SCIENCE; SITES; TOOL
AB Substantial climate change impacts threaten the persistence of cultural resources globally. The need exists for conceptualizing decision support tools that focus on quantifying and optimizing the managerial priorities to leverage historic preservation and adaptation actions that enhance the continuity of heritage values and sites. Informed by the Structured Decision Making (SDM) approach, this study advances the singular objective Optimal Preservation (OptiPres) Model, a decision support tool for climate adaptation planning of historic buildings by considering three tourism management objectives: (a) maximize accumulated resource value, (b) maximize cost-efficiency, and (c) minimize vulnerability. These objectives are tested under different budget scenarios using a 30-year planning horizon with a subset of buildings located in two historic districts of Cape Lookout National Seashore (CALO), United States. The multi-objective approach demonstrates the OptiPres Model is trans -formative, transparent, and transferable for providing cultural resource decision support and enhancing the sustainability of cultural heritage globally.
C1 [Li, Peizhe; Xiao, Xiao] Arizona State Univ, Sch Community Resources & Dev, 411 N Cent Ave,Suite 550, Phoenix, AZ 85004 USA.
   [Li, Peizhe; Xiao, Xiao] Hainan Univ, Hainan Univ Arizona State Univ Joint Int Tourism, 58 Renmin Rd, Haikou 570004, Hainan, Peoples R China.
   [Seekamp, Erin] North Carolina State Univ, Dept Pk Recreat & Tourism Management, Box 8004,Biltmore Hall, Raleigh, NC 27695 USA.
C3 Arizona State University; Arizona State University-Downtown Phoenix;
   Hainan University; North Carolina State University
RP Xiao, X (corresponding author), Arizona State Univ, Sch Community Resources & Dev, 411 N Cent Ave,Suite 550, Phoenix, AZ 85004 USA.
EM peizhel1@asu.edu; xiao.xiao.7@asu.edu; elseekam@ncsu.edu
RI Xiao, Xiao/Z-1199-2019; Li, Peizhe/IQR-5447-2023
OI Xiao, Xiao/0000-0001-5124-0985; Seekamp, Erin/0000-0001-5082-1921; Li,
   Peizhe/0000-0003-3102-2897
FU U.S. Geological Survey through the National Climate Change and Wildlife
   Science Center; Department of Interior Southeast Climate Adaptation
   Science Center [G15AP00141]; National Park Service Climate Change
   Response Program through U.S. Department of Interior Inter-Agency
   Agreement [P17PG00197]
FX The data used in this paper was supported by the U.S. Geological Survey
   (https:// www.usgs.gov) through the National Climate Change and Wildlife
   Science Center (https://casc.usgs.gov/) and the Department of Interior
   Southeast Climate Adaptation Science Center
   (https://globalchange.ncsu.edu/secsc/) through grant agreement
   G15AP00141 (project title: Connecting Landscape Adaptation and National
   Cultural Resource Policy to Climate Change and Cultural Resource
   Adaptation Decisions) . Additional funding for model development was
   provided by the National Park Service Climate Change Response Program
   through U.S. Department of Interior Inter-Agency Agreement P17PG00197
   (project title: Optimization Model to Support NPS Cultural Resource
   Management) .
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Anderson DG, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0188142
   [Anonymous], 2014, 1402 NPS
   [Anonymous], 1976, US PRES PROJ STAND
   [Anonymous], 2019, FUT OUR PASTS ENG CU
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Barnett J, 2016, NAT CLIM CHANGE, V6, P976, DOI 10.1038/nclimate3140
   Borrelli M., 2008, SOLUTIONS COASTAL DI
   Brown M, 2019, ENVIRON PRAC, V21, P57, DOI 10.1080/14660466.2019.1601935
   Carmichael B, 2015, RANGELAND J, V37, P597, DOI 10.1071/RJ15048
   Casey A, 2019, COAST MANAGE, V47, P169, DOI 10.1080/08920753.2019.1564952
   Chen X, 2017, APPL ENERG, V206, P541, DOI 10.1016/j.apenergy.2017.08.204
   DeCrappeo NM, 2018, ENVIRON MANAGE, V61, P181, DOI 10.1007/s00267-017-0960-y
   Fatoric S, 2018, J CULT HERIT, V30, P168, DOI 10.1016/j.culher.2017.08.006
   Fatoric S, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9112143
   Fatoric S, 2017, LAND USE POLICY, V68, P254, DOI 10.1016/j.landusepol.2017.07.052
   Fatoric S, 2017, CLIMATIC CHANGE, V142, P227, DOI 10.1007/s10584-017-1929-9
   Hambrecht G, 2017, AM ANTIQUITY, V82, P627, DOI 10.1017/aaq.2017.30
   Holzkämper A, 2015, ENVIRON MODELL SOFTW, V66, P27, DOI 10.1016/j.envsoft.2014.12.012
   HOWARD RA, 1988, MANAGE SCI, V34, P679, DOI 10.1287/mnsc.34.6.679
   Johnson ChristopherF., 2020, PARKS STEWARDSHIP FO, V36, P49, DOI [10.5070/p536146396, DOI 10.5070/P536146396]
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Khakzad S., 2017, J MARINE ISLAND CULT, V6, P31
   Klein T, 2013, LANDSCAPE ECOL, V28, P2029, DOI 10.1007/s10980-013-9939-0
   Parnell GS, 2013, HDB DECISION ANAL, V6, DOI [DOI 10.1002/9781118515853, 10.1002/9781118515853]
   Peek K., 2017, ADAPTING CLIMATE CHA
   Perez-Alvaro E, 2016, J CULT HERIT, V21, P842, DOI 10.1016/j.culher.2016.03.006
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Reeder-Myers LA, 2019, AM ANTIQUITY, V84, P292, DOI 10.1017/aaq.2018.85
   Rockman M, 2020, P NATL ACAD SCI USA, V117, P8295, DOI 10.1073/pnas.1914213117
   Rockman Marcy., 2016, CULTURAL RESOURCES C
   Seekamp E., 2019, OPTIMIZING HIST PRES
   Seekamp E, 2020, CLIMATIC CHANGE, V162, P41, DOI 10.1007/s10584-020-02812-4
   Seekamp E, 2020, OCEAN COAST MANAGE, V191, DOI 10.1016/j.ocecoaman.2020.105180
   Sofaer HR, 2017, GLOBAL CHANGE BIOL, V23, P2537, DOI 10.1111/gcb.13653
   Star J, 2016, CLIM RISK MANAG, V13, P88, DOI 10.1016/j.crm.2016.08.001
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Van Der Burg MP, 2014, J WILDLIFE MANAGE, V78, P153, DOI 10.1002/jwmg.638
   Webb CT, 2017, PREV VET MED, V138, P124, DOI 10.1016/j.prevetmed.2017.01.003
   Westphal MI, 2007, LANDSCAPE URBAN PLAN, V81, P56, DOI 10.1016/j.landurbplan.2006.10.015
   Wintle BA, 2011, NAT CLIM CHANGE, V1, P355, DOI 10.1038/NCLIMATE1227
   Xiao X, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104165
   Xiao X, 2019, LAND USE POLICY, V83, P379, DOI 10.1016/j.landusepol.2019.02.011
NR 43
TC 17
Z9 17
U1 10
U2 79
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0261-5177
EI 1879-3193
J9 TOURISM MANAGE
JI Tourism Manage.
PD FEB
PY 2022
VL 88
AR 104380
DI 10.1016/j.tourman.2021.104380
EA JUL 2021
PG 12
WC Environmental Studies; Hospitality, Leisure, Sport & Tourism; Management
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Social Sciences - Other Topics;
   Business & Economics
GA WB5NV
UT WOS:000703619300011
OA hybrid
DA 2025-01-10
ER

PT J
AU Gober, P
   Kirkwood, CW
AF Gober, Patricia
   Kirkwood, Craig W.
TI Vulnerability assessment of climate-induced water shortage in Phoenix
SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF
   AMERICA
LA English
DT Article
DE water sustainability; climate change; decision making under uncertainty;
   simulation modeling
ID ARID CLIMATE; RESOURCES; ARIZONA; SUSTAINABILITY; MANAGEMENT; HYDROLOGY;
   IMPACTS
AB Global warming has profound consequences for the climate of the American Southwest and its overallocated water supplies. This paper uses simulation modeling and the principles of decision making under uncertainty to translate climate information into tools for vulnerability assessment and urban climate adaptation. A dynamic simulation model, WaterSim, is used to explore future water-shortage conditions in Phoenix. Results indicate that policy action will be needed to attain water sustainability in 2030, even without reductions in river flows caused by climate change. Challenging but feasible changes in lifestyle and slower rates of population growth would allow the region to avoid shortage conditions and achieve groundwater sustainability under all but the most dire climate scenarios. Changes in lifestyle involve more native desert landscaping and fewer pools in addition to slower growth and higher urban densities. There is not a single most likely or optimal future for Phoenix. Urban climate adaptation involves using science-based models to anticipate water shortage and manage climate risk.
C1 [Gober, Patricia] Arizona State Univ, Decis Ctr Desert City, Tempe, AZ 85287 USA.
   [Gober, Patricia] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA.
   [Gober, Patricia] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA.
   [Kirkwood, Craig W.] Arizona State Univ, WP Carey Sch Business, Tempe, AZ 85287 USA.
C3 Arizona State University; Arizona State University-Tempe; Arizona State
   University; Arizona State University-Tempe; Arizona State University;
   Arizona State University-Tempe; Arizona State University; Arizona State
   University-Tempe
RP Gober, P (corresponding author), Arizona State Univ, Decis Ctr Desert City, Tempe, AZ 85287 USA.
EM gober@asu.edu
FU National Science Foundation, Decision Center for a Desert City
   [SES-0345945]; Divn Of Social and Economic Sciences; Direct For Social,
   Behav & Economic Scie [0951366] Funding Source: National Science
   Foundation
FX We thank Timothy Lant for his original development of WaterSim, Michael
   Tschudi for WaterSim model runs, Sally Wittlinger for manuscript
   support, and Barbara Trapido-Lurie for graphics support. This material
   is based on work supported by National Science Foundation Grant
   SES-0345945 Decision Center for a Desert City.
CR Allan JA, 2003, WATER INT, V28, P106, DOI 10.1080/02508060.2003.9724812
   [Anonymous], 2003, Shaping the Next One Hunderd Years - New Methods for Quantitative Long-Term Policy Analysis
   [Anonymous], 1986, CADILLAC DESERT
   [Anonymous], 2007, Census of Agriculture
   Arizona Department of Commerce, 2010, 2006 2055 COMM POP P
   Barnett TP, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006704
   Christensen NS, 2007, HYDROL EARTH SYST SC, V11, P1417, DOI 10.5194/hess-11-1417-2007
   Christensen NS, 2004, CLIMATIC CHANGE, V62, P337, DOI 10.1023/B:CLIM.0000013684.13621.1f
   Cutter SL, 2003, ANN ASSOC AM GEOGR, V93, P1, DOI 10.1111/1467-8306.93101
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Ellis AW, 2008, CLIM RES, V35, P227, DOI 10.3354/cr00727
   GOBER P, 2007, GEOGRAPHISCHE RUNDSC, V3, P20
   Graf WL, 2001, ANN ASSOC AM GEOGR, V91, P1, DOI 10.1111/0004-5608.00231
   Graf WL, 1999, WATER RESOUR RES, V35, P1305, DOI 10.1029/1999WR900016
   Guston DH, 2008, NATURE, V454, P940, DOI 10.1038/454940a
   Hirschboeck KatherineK., 2005, TREE RING BASED ASSE
   Hirt P, 2008, ENVIRON HIST-US, V13, P482, DOI 10.1093/envhis/13.3.482
   Hutchins-Cabibi Taryn., 2006, Water in the Urban Southwest: An Updated Analysis of Water Use in Albuquerque, Las Vegas Valley, and Tucson
   Jacobs KL, 2004, HYDROGEOL J, V12, P52, DOI 10.1007/s10040-003-0308-y
   Kupel DouglasE., 2003, FUEL GROWTH WATER AR
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Maricopa Association of Governments, 2003, INT SOC PROJ DOC
   Mayer P.W., 1999, Residential end uses of water
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Morehouse BJ, 2002, CLIMATE RES, V21, P283, DOI 10.3354/cr021283
   Morehouse BJ, 2000, J AM WATER RESOUR AS, V36, P265, DOI 10.1111/j.1752-1688.2000.tb04266.x
   National Research Council, 2007, Colorado River Basin Water Management: Evaluating and Adjusting to Hydroclimatic Variability
   Polsky C, 2007, GLOBAL ENVIRON CHANG, V17, P472, DOI 10.1016/j.gloenvcha.2007.01.005
   Seager R, 2007, SCIENCE, V316, P1181, DOI 10.1126/science.1139601
   Seager R, 2010, P NATL ACAD SCI USA, V107, P21277, DOI 10.1073/pnas.0910856107
   Simonovic SP, 2000, WATER INT, V25, P76, DOI 10.1080/02508060008686799
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   U. S. Census Bureau, 2010, STAT ABSTR US
   US Census Bureau, 2009, US POP PROJ
   Wisner B., 2004, At Risk: Natural hazards, people's vulnerability and disasters, P49
   Woodhouse CA, 2010, P NATL ACAD SCI USA, V107, P21283, DOI 10.1073/pnas.0911197107
   Worster Donald., 1985, RIVERS EMPIRE WATER
NR 38
TC 89
Z9 113
U1 1
U2 21
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 DEC 14
PY 2010
VL 107
IS 50
BP 21295
EP 21299
DI 10.1073/pnas.0911113107
PG 5
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 697NY
UT WOS:000285521500016
PM 21149729
OA Green Published
DA 2025-01-10
ER

PT J
AU Geda, MB
   Haji, J
   Jemal, K
   Zeleke, F
AF Geda, Mustefa Bati
   Haji, Jema
   Jemal, Kedir
   Zeleke, Fresenbet
TI Household-level vulnerability and resilience to climate change in wheat
   producing farmers of Arsi Zone, Ethiopia
SO SUSTAINABLE ENVIRONMENT
LA English
DT Article
DE Vulnerability; resilience; climate change; VEP; RIMA; wheat; Arsi Zone
ID FARMING SECTOR; VARIABILITY; ADAPTATION; SHOCKS
AB The purpose of this study was to determine the status of vulnerability and resilience to climate change and identify factors that affect the status of vulnerability of wheat-producing farmers to climate change in the Arsi Zone. The primary data that were gathered from 422 randomly selected wheat-producing farmers across three districts were used. The vulnerability as expected poverty (VEP) method was used to determine the vulnerability status at the household level, whereas the resilience index measurement approach (RIMA) was used to determine the resilience status. The result of the study pointed out that 60.66% of the sample households were vulnerable to climate change while the remaining 39.34% were not. The sample household's average resilience index was 0.976. In a similar vein, the absorptive capacity (0.401) was the primary contributor among the resilience components, followed by the adaptive (0.320) and transformative (0.255) capacities. The result of a binary logit model pointed out that households that had participated in off-farm income, had large areas of farmland and owned large numbers of livestock, had frequent contact with extension workers, access to improved wheat varieties and irrigation, lived in highland agroecologies, and participated in social organizations was probably less susceptible to climate change. Hence, to reduce the level of vulnerability, it is advised that policymakers and other development partners who are interested in reducing vulnerability and building resilience to climate change should concentrate on boosting the productivity of land and livestock and consider the agroecological differences while developing climate change adaptation policies.
C1 [Geda, Mustefa Bati] Mettu Univ, Coll Nat Resource & Agr Econ, Bedele Campus,POB 318, Bedele, Ethiopia.
   [Haji, Jema; Jemal, Kedir; Zeleke, Fresenbet] Haramaya Univ, Sch Agr Econ & Agribusiness, Haramaya, Ethiopia.
C3 Haramaya University
RP Geda, MB (corresponding author), Mettu Univ, Coll Nat Resource & Agr Econ, Bedele Campus,POB 318, Bedele, Ethiopia.
EM mustefabi1@gmail.com
FU Ministry of Education
FX The Ministry of Education funded this research as part of PhD study.
CR Aldrich J.H., 1990, LINEAR PROBABILITY L, VFirst
   Alotaibi M, 2023, NOT BOT HORTI AGROBO, V51, DOI 10.15835/nbha51113020
   Amare A., 2017, Am. J. Clim. Chang, V6, P668, DOI [10.4236/ajcc.2017.64034, DOI 10.4236/AJCC.2017.64034, https://doi.org/10.4236/ajcc.2017.64034]
   [Anonymous], 2022, Fact Sheet: An Adjustment to Global Poverty Lines
   [Anonymous], 2006, HUMAN DEV REPORT SCA
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Asmamaw M, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219393
   Atara A, 2020, ENVIRON DEV, V35, DOI 10.1016/j.envdev.2020.100530
   AZOANR (Arsi Zone Office of Agriculture and Rural Development), 2022, Arsi Zone Office Agriculture And Rural Development, Annual report
   Barrett CB, 2014, P NATL ACAD SCI USA, V111, P14625, DOI 10.1073/pnas.1320880111
   Bedeke SB, 2020, ENVIRON DEV SUSTAIN, V22, P693, DOI 10.1007/s10668-018-0215-y
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Béné C, 2016, FOOD SECUR, V8, P123, DOI 10.1007/s12571-015-0526-x
   Beyene F, 2023, J AGR FOOD RES, V11, DOI 10.1016/j.jafr.2023.100500
   Chala Dechassa Chala Dechassa, 2016, Academia Journal of Agricultural Research, V4, P230
   Chaudhuri S., 2002, ASSESSING HOUSEHOLD
   Cochrane L., 2018, ETHIOP J APPL SCI TE, V9, P1
   d'Errico M, 2018, WORLD DEV, V104, P78, DOI 10.1016/j.worlddev.2017.11.020
   Dawid I, 2023, FRONT CLIM, V5, DOI 10.3389/fclim.2023.1193910
   Deressa T., 2008, Measuring Ethiopian farmers' vulnerability to climate change across regional states
   dErrico M., 2016, ESA working paper No. 1601
   Fan S., 2014, Resilience for food and nutrition security
   Filmer D, 2001, DEMOGRAPHY, V38, P115, DOI 10.2307/3088292
   Food and Agriculture Organization of the United Nations, 2010, EC-FAO Programme on Linking Information and Decision Making to Improve Food Security
   Frankenberger T., 2013, Community Resilience: Conceptual Framework and Measurement Feed the Future Learning Agenda
   Gbetibouo GA, 2010, NAT RESOUR FORUM, V34, P175, DOI 10.1111/j.1477-8947.2010.01302.x
   Gebreegziabher Z, 2018, ENVIR DEV, P28
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Gujarati DN, 2009, The McGraw-Hill Series
   Gutu Tesso Gutu Tesso, 2012, Agricultural Sciences, V3, P871, DOI 10.4236/as.2012.36106
   Habtewold TM, 2018, Perspectives on Development in the Middle East and North Africa (MENA) Region, DOI [https://doi.org/10.1007/978-981-10-8126-23, DOI 10.1007/978-981-10-8126-23, 10.1007/978-981-10-8126-23]
   Haughton J., 2009, Handbook on poverty+inequality
   Kothari C.R., 2004, Research methodology: Methods and techniques, DOI DOI 10.1017/CBO9781107415324.004
   Mekuyie M, 2018, CLIM RISK MANAG, V20, P64, DOI 10.1016/j.crm.2018.02.004
   Melketo T, 2021, J ARID ENVIRON, V188, DOI 10.1016/j.jaridenv.2021.104454
   Huong NTL, 2019, HUM ECOL RISK ASSESS, V25, P1157, DOI 10.1080/10807039.2018.1460801
   Saptutyningsih E, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104189
   Seleiman MF, 2018, CHEMOSPHERE, V193, P538, DOI 10.1016/j.chemosphere.2017.11.053
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Shewmake S., 2008, VULNERABILITY IMPACT, V804
   Tafesse A., 2015, Business, Management and Economics Research, V1, P33
   Tambo JA, 2017, REG ENVIRON CHANGE, V17, P1505, DOI 10.1007/s10113-017-1113-9
   Tambo JA, 2016, INT J DISAST RISK RE, V17, P85, DOI 10.1016/j.ijdrr.2016.04.005
   Tessema I, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0159-7
   UN, 2023, Causes and effects of climate change
   WHO, 2023, Climate Change and Health
   World Bank, 2023, Projected GDP loss due to climate change in Ethiopia 20502100
   Zegeye MB, 2021, COGENT ECON FINANC, V9, DOI 10.1080/23322039.2021.1969759
   Zeleke T, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13042162
NR 49
TC 0
Z9 0
U1 1
U2 1
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2765-8511
J9 SUSTAIN ENVIRON
JI Sustain. Environ.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2378538
DI 10.1080/27658511.2024.2378538
PG 18
WC Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA YR9X9
UT WOS:001270338700001
OA gold
DA 2025-01-10
ER

PT J
AU Niyibigira, T
   Mohammed, W
   Tana, T
   Tefera, TL
   Rukundo, P
AF Niyibigira, Theogene
   Mohammed, Wassu
   Tana, Tamado
   Tefera, Tesfaye Lemma
   Rukundo, Placide
TI Sorghum farmers' perceptions of climate change, its effects, temperature
   and precipitation trends, and determinants of adaptation strategies in
   the central plateau zone of Rwanda
SO COGENT FOOD & AGRICULTURE
LA English
DT Article
DE Adaptation strategies; baseline survey; multivariate prohibit model;
   smallholder farmers; sorghum bicolor; Rwanda; climate change
ID HOMOGENEITY; DISTRICT; IMPACTS; REGION
AB Climate change is causing significant damage to crop production in the central plateau zone of Rwanda, particularly affecting sorghum, food, and the incomes of smallholder farmers. Understanding farmers' perceptions and the factors impacting their responses is crucial for improving sorghum production policies and programs. Therefore, a study was conducted to assess sorghum farmers' perceptions of climate change and the factors determining their adaptation strategies. A multistage sampling method and a cluster random selection were utilized to select 345 respondents from five districts of the study area. The data were analyzed using descriptive statistics and a multivariate probit model. The results showed that 98.8% of farmers were aware of climate change, with deforestation being the main anthropogenic activity causing it. Consequently, 95.7% and 84.3% of farmers experienced grain yield reductions, and over 20 sorghum varieties disappeared. To address these impacts, farmers adopted five adaptation strategies: early maturing sorghum varieties (67%), adjusting planting dates (50.1%), drought-tolerant varieties (46.7%), soil conservation practices (38.3%), and crop diversification (32.8%). The multivariate probit model results showed the age and literacy level of the household head, access to extension services, access to information, access to credit, farming experience, and land size as the important factors influencing at least one of the climate change adaptation strategies. The study concluded that sorghum farmers are aware of the impacts of climate change and are acting to address its negative effects. The results suggest that the government and stakeholders should support farmers in strengthening their adaptation strategies for sustainable sorghum production.
C1 [Niyibigira, Theogene; Rukundo, Placide] Rwanda Agr & Anim Resources Dev Board, POB 5016, Huye, Rwanda.
   [Niyibigira, Theogene] Haramaya Univ, African Ctr Excellence Climate Smart Agr & Biodiv, Dire Dawa, Ethiopia.
   [Mohammed, Wassu; Tefera, Tesfaye Lemma] Haramaya Univ, Sch Nat Resources Management & Environm Sci, Dire Dawa, Ethiopia.
   [Tana, Tamado] Univ Eswatini, Dept Crop Prod, Luyengo, Eswatini.
C3 Haramaya University; Haramaya University
RP Niyibigira, T (corresponding author), Rwanda Agr & Anim Resources Dev Board, POB 5016, Huye, Rwanda.
EM nitheos9@gmail.com
RI Rukundo, Placide/GSO-3066-2022
FU Africa Center of Excellence for Climate Smart Agriculture and
   Biodiversity Conservation, Haramaya University; Haramaya University,
   Ethiopia, through the World Bank and the Africa Center of Excellence for
   Climate Smart Agriculture and Biodiversity Conservation (SABC)
FX We thank Haramaya University, Ethiopia, through the World Bank and the
   Africa Center of Excellence for Climate Smart Agriculture and
   Biodiversity Conservation (SABC) for funding this PhD research. Thanks
   also to the Rwanda Agriculture and Animal Resources Development Board
   for their valuable support during data collection.
CR Abera N, 2019, ENVIRON SOCIO-ECON S, V7, P1, DOI 10.2478/environ-2019-0019
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100200
   Abou S., 2021, African handbook of climate change adaptation, P147
   Adebisi-Adelani O, 2014, J AGRIC EXT, V18, P1, DOI 10.4314/jae.v18i2.1
   Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Agbo F. U., 2013, Journal of Biology, Agriculture and Healthcare, V3, P36
   Agidew A. M. A., 2018, Agricultural and Food Economics, V6, P10, DOI 10.1186/s40100-018-0106-4
   Ahmed M. H., 2017, Development Studies Research, V4, P9, DOI 10.1080/21665095.2017.1400393
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   ALEXANDERSSON H, 1986, J CLIMATOL, V6, P661, DOI 10.1002/joc.3370060607
   Amelework Beyene A., 2016, South African Journal of Plant and Soil, V33, P207, DOI 10.1080/02571862.2016.1143043
   Anderson M. B., 2001, The impacts of natural disasters on the poor: A backgrounbood note
   [Anonymous], 2015, Coping with climate change-The roles of genetic resources for food and agriculture
   Anum R, 2022, COGENT FOOD AGR, V8, DOI 10.1080/23311932.2022.2130969
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Assefa Yared., 2004, Crop Management, DOI [DOI 10.1094/CM-2010-1109-01-RV, 10.1094/cm-2010-1109-01-rv]
   Atchikpa M. T., 2017, International Journal of Scientific Research and Reviews, V6, P227
   Babatolu J. S., 2016, Journal of Petroleum Environmental Biotechnology, V7, P3, DOI [https://doi.org/10.4172/2157-7463.1000279, DOI 10.4172/2157-7463.1000279]
   Rahut DB, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00797
   Bakare AY., 2023, World Dev Sustain, V2, DOI [10.1016/j.wds.2023.100047, DOI 10.1016/J.WDS.2023.100047]
   Baligira R., 2008, Rapid baseline assessment, Rwanda
   Bawa J. A. K., 2015, Journal of Environment and Earth Science, V5, P33
   Belay A, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e12089
   Bello O. B., 2012, International Journal of Plant Research, V2, P14, DOI 10.5923/j.plant.20120202.03
   BUISHAND TA, 1982, J HYDROL, V58, P11, DOI 10.1016/0022-1694(82)90066-X
   Butera Tonny, 2022, [Korea Journal of Organic Agriculture, 한국유기농업학회지], V30, P241
   Byishimo P., 2017, Assessment of Climate Change Impacts on Crop Yields and Farmers' Adaptation Measures: A Case of RwandaPh
   Cochran W.G., 1977, Sampling techniques, V3rd ed.
   de Matos Carlos S., 2018, Understanding farmers perceptions/beliefs and adaptation to climate
   Dendir Z, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100236
   Derese SA, 2018, ACTA AGR SCAND B-S P, V68, P585, DOI 10.1080/09064710.2018.1448884
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dhanya P, 2016, J INTEGR ENVIRON SCI, V13, P1, DOI 10.1080/1943815X.2015.1062031
   Dossou-Aminon Innocent, 2015, ScientificWorldJournal, V2015, P916476, DOI 10.1155/2015/916476
   Dusingizimana P., 2018, Analysis of adaptation practices to climate change and variability by smalholder coffee farmers in Rwanda: Case study of Huye District
   Edema R., 2015, African Journal of Biotechnology, V14, P3101
   Eggen M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafe19
   Emendack Y, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-87450-1
   Eneji CVO, 2021, INT J CLIM CHANG STR, V13, P397, DOI 10.1108/IJCCSM-06-2020-0070
   Esayas B, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/7341465
   Ezeanya-Esiobu C., 2018, Other Ways Knowing, V4, P1, DOI [https://doi.org/10.18113/P8ik460438, DOI 10.18113/P8IK460438]
   Fagariba CJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051484
   FAO, 2021, Food and agriculture data 2020
   Fernando R., 2021, GLOBAL EC IMPACTS CL
   Fierros-González I, 2021, FRONT ENV SCI-SWITZ, V9, DOI 10.3389/fenvs.2021.672399
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Gasheja F., 2017, KIPPRA Working Paper No. 23
   Gebre GG, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100495
   Gebru GW, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04356
   GNASL, 2021, Climate change: Causes, consequences and possible actions
   Grillo O., 2018, Rediscovery of Landraces as a Resource for the Future, P1, DOI [10.5772/INTECHOPEN.75944, DOI 10.5772/INTECHOPEN.75944]
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Hundera H, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100230
   IPAR AFR, 2018, Rwanda agriculture finance year book, P15
   Kendall M. G., 1948, Rank correlation methods.
   Kifle T, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100290
   Kimberlin CL, 2008, AM J HEALTH-SYST PH, V65, P2276, DOI 10.2146/ajhp070364
   Knox J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034032
   Kumar S, 2020, LAND USE POLICY, V97, DOI 10.1016/j.landusepol.2020.104729
   Le Treut H, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P93
   Lee H., 2023, CLIMATE CHANGE 2023, DOI DOI 10.59327/IPCC/AR6-9789291691647
   Likinaw A, 2023, INT J CLIM CHANG STR, V15, P599, DOI 10.1108/IJCCSM-01-2022-0001
   Majoro F., 2020, INT J AGR ENV RES, V6, P7, DOI [10.53555/eijaer.v6i2.66, DOI 10.53555/EIJAER.V6I2.66]
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mbwambo E. P., 2022, The Sub Saharan Journal of Social Sciences and Humanities, V1, P1
   Mehmood MS, 2022, CIENC RURAL, V52, DOI 10.1590/0103-8478cr20201109
   Meldrum G, 2018, ENVIRON DEV SUSTAIN, V20, P703, DOI 10.1007/s10668-016-9906-4
   Mihiretu A, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1763647
   MINAGRI, 2022, Annual report 2021-2022
   MINEDUC, 2014, Adult education policy
   Mor S., 2017, Disaster Advances, V10, P12
   Msaki M. M., 2015, State of knowledge on CSA in Africa case studies from Rwanda, Tanzania and Zambia
   National Institute of Statistics of Rwanda (NISR), 2023, The Fifth Rwanda Population and Housing Census, Main Indicators Report
   NBDF, 2014, Community based climate change adaptation
   Ndambiri H. K., 2013, International Journal of Food and Agricultural Economics, V1, P75
   Ndlovu E, 2021, PLANT STRESS, V2, DOI 10.1016/j.stress.2021.100018
   Ngetich F.K., 2022, SOC SCI HUMANIT OPEN, V6, P100319, DOI [10.1016/j.ssaho.2022.100319, DOI 10.1016/J.SSAHO.2022.100319]
   Ngongondo C, 2011, THEOR APPL CLIMATOL, V106, P79, DOI 10.1007/s00704-011-0413-0
   NISR, 2022, Seasonal agricultural survey
   NISR, 2015, Rwanda seasonal agricultural survey (SAS) 2013
   NISR, 2020, Agricultural household survey 2020, P81
   Niyibigira T., 2012, Transferring striga resistance QTL from a resistant donor source into adapted sorghum variety in Rwanda
   Niyibigira T., 2013, Journal of Renewable Agriculture, V1, P6, DOI [https://doi.org/10.12966/jra.04.02.2013, DOI 10.12966/JRA.04.02.2013]
   Nsengiyunva M. M., 2014, The effect of climate change on sorghum yield in the Teso farming system
   Nyanga P. H., 2011, Journal of Sustainable Development, V4, P73
   Nyirandorimana E., 2020, East African Journal of Agriculture Biotechnology, V2, P1, DOI [https://doi.org/10.37284/eajab.2.1.137.IEEE, DOI 10.37284/EAJAB.2.1.137.IEEE]
   Okoro JC, 2016, J AGRIC EXT, V20, P215, DOI 10.4314/jae.v20i2.16
   One Acre Fund (OAF), 2016, Sorghum fertilizer and planting methods
   Osman Mulani Feroz, 2023, AIP Conference Proceedings, DOI 10.1063/5.0155368
   Partal T, 2006, HYDROL PROCESS, V20, P2011, DOI 10.1002/hyp.5993
   Pathak H., 2012, Climate Change Impact. Adaptation and Mitigation In Agriculture: Methodology for Assessment and Applications
   Pautrizel L., 2014, Report 4 Rwanda
   Pettitt A. N., 1979, Applied Statistics, V28, P126, DOI 10.2307/2346729
   Popoola OO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072616
   Prasad VBR, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms22189826
   Raghuvanshi R, 2017, INT J APPL AGR SCI, V45, P40, DOI DOI 10.11648/J.IJAAS.20170306.13
   RCA, 2022, Statistics of cooperatives in Rwanda
   Sandeep VM, 2018, J AGROMETEOROL, V20, P89
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Sharma OP, 2019, WATER-SUI, V11, DOI 10.3390/w11091920
   Sileshi M, 2019, INT SOIL WATER CONSE, V7, P354, DOI 10.1016/j.iswcr.2019.08.002
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Swe LMM, 2015, CLIM DEV, V7, P437, DOI 10.1080/17565529.2014.989188
   Tazeze A., 2012, J EC SUSTAINABLE DEV, V3, P2222
   Teklewold H., 2016, EfD DP 16-04
   Tene NST, 2022, COGENT SOC SCI, V8, DOI 10.1080/23311886.2022.2140510
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Teshome H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179622
   Tessema YA., 2013, Agricultural and Food Economics, V1, P1, DOI [10.1186/2193-7532-1-13, DOI 10.1186/2193-7532-1-13]
   The Royal Academy, 2012, Climate change evidence causes: Update 2020
   Thormann I, 2015, SUSTAIN DEV BIODIVER, V7, P263, DOI 10.1007/978-3-319-25637-5_10
   Traore L., 2021, African Crop Science Journal, V29, P157, DOI 10.4314/acsj.v29i1.11
   Umuhoza Janet, 2021, Atmospheric and Climate Sciences, V11, P398, DOI 10.4236/acs.2021.113023
   von Neumann J, 1941, ANN MATH STAT, V12, P367, DOI 10.1214/aoms/1177731677
   vonStorch H, 1995, ANALYSIS OF CLIMATE VARIABILITY, P11
   Warner K, 2015, CLIMATE CHANGE PROFI
   WB CIAT, 2015, CSA COUNTRY PROFILES, P1
   WBG, 2021, CLIMATE RISK PROFILE
   Wormann C. S., 2006, Atlas of Sorghum production in Eastern and Southern Africa
   Yahaya MA, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13020557
   Yamane T., 1967, Statistics: An introductory analysis, V2nd ed
   Yamba S, 2019, COGENT SOC SCI, V5, DOI 10.1080/23311886.2019.1646626
   Young G, 2009, INSUR MATH ECON, V44, P214, DOI 10.1016/j.insmatheco.2008.11.004
   Zakari S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14052847
NR 126
TC 1
Z9 1
U1 7
U2 9
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2331-1932
J9 COGENT FOOD AGR
JI Cogent Food Agr.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2334999
DI 10.1080/23311932.2024.2334999
PG 24
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA NA4X7
UT WOS:001197716100001
OA gold
DA 2025-01-10
ER

PT J
AU Isinkaralar, O
   Sharifi, A
   Isinkaralar, K
AF Isinkaralar, Oznur
   Sharifi, Ayyoob
   Isinkaralar, Kaan
TI Assessing spatial thermal comfort and adaptation measures for the
   Antalya basin under climate change scenarios
SO CLIMATIC CHANGE
LA English
DT Article
DE Urban and Regional planning; Coastal management; Geographic information
   systems; Global warming; Spatial modeling; Climate change adaptation
ID ADAPTIVE RESPONSES; VULNERABILITY; TOURISM; AGRICULTURE; RESILIENCE;
   IMPACTS; DEMAND
AB The concrete damages of climate change are intensifying, and adaptation efforts of actors around the world are increasing, especially in coastal regions. Recommending adaptation measures for specific regions and sectors and determining long-term strategies for mitigating global climate change is essential for reducing vulnerability to climate change. This research aims to estimate the changes in climatic parameters and thermal comfort zones to determine concrete targets and offer suggestions for sectors affected by possible changes. The changes that will occur until 2100 in the Antalya basin, which is located in the southernmost part of T & uuml;rkiye and is a significant hub for agricultural production and tourism, were monitored spatially using Discomfort Index (DI) and Effective Temperature taking wind velocity (ETv). The Shared Socioeconomic Pathways (SSP): SSP 245 and SSP 585 predict that the quite cool areas prevailing in the area, according to ETv, will shrink by 24% and 46%, respectively, and the prevailing cold areas, according to DI, will shrink by 45% and 56%, respectively. By 2100, 5% of the area, according to SSP 245, and 25%, according to SSP 585, will turn into hot areas and move away from the comfort level. The fact that critical regions are areas with high vitality in terms of coastal tourism shows the need to prioritize adaptation policies. These discoveries are discussed in the context of critical issues such as water scarcity and food security, contributing to policy-making for effective management by suggesting specific adaptation measures.
C1 [Isinkaralar, Oznur] Kastamonu Univ, Fac Engn & Architecture, Dept Landscape Architecture, TR-37150 Kastamonu, Turkiye.
   [Sharifi, Ayyoob] Hiroshima Univ, IDEC Inst, Higashihiroshima, Hiroshima, Japan.
   [Isinkaralar, Kaan] Kastamonu Univ, Fac Engn & Architecture, Dept Environm Engn, TR-37150 Kastamonu, Turkiye.
   [Sharifi, Ayyoob] Lebanese Amer Univ, Sch Architecture & Design, Beirut, Lebanon.
C3 Kastamonu University; Hiroshima University; Kastamonu University;
   Lebanese American University
RP Isinkaralar, O (corresponding author), Kastamonu Univ, Fac Engn & Architecture, Dept Landscape Architecture, TR-37150 Kastamonu, Turkiye.
EM obulan@kastamonu.edu.tr
RI Isinkaralar, Oznur/ADA-8435-2022; ISINKARALAR, KAAN/AAD-2456-2022;
   Sharifi, Ayyoob/M-7584-2013
OI Isinkaralar, Oznur/0000-0001-9774-5137
FU Kastamonu University
FX Not applicable.
CR Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P42539, DOI 10.1007/s11356-022-19718-6
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Alimonti G, 2022, EUR PHYS J PLUS, V137, DOI 10.1140/epjp/s13360-021-02243-9
   Amirkhani M, 2022, PREV MED REP, V28, DOI 10.1016/j.pmedr.2022.101846
   Anik AH., 2023, Water Security, V18, P100133, DOI [10.1016/j.wasec.2023.100133, DOI 10.1016/J.WASEC.2023.100133]
   [Anonymous], 2007, REPORT INTERGOVERNME, P104
   [Anonymous], 1959, Weatherwise, DOI [10.1080/00431672.1959.9926960, DOI 10.1080/00431672.1959.9926960]
   Arabadzhyan A, 2021, CURR ISSUES TOUR, V24, P2233, DOI 10.1080/13683500.2020.1825351
   Asif Z, 2023, WATER RESOUR MANAG, V37, P2771, DOI 10.1007/s11269-023-03474-4
   Barchielli B, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191911929
   Bocchiola D, 2019, AGR SYST, V171, P113, DOI 10.1016/j.agsy.2019.01.008
   Cienfuegos R, 2023, NAT HAZARDS, V119, P1113, DOI 10.1007/s11069-022-05405-9
   Clarke B, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7d
   Da YB, 2022, ENVIRON RESOUR ECON, V81, P355, DOI 10.1007/s10640-021-00629-y
   Day J, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03284-w
   Dellink R, 2019, ENVIRON RESOUR ECON, V72, P309, DOI 10.1007/s10640-017-0197-5
   Fang Y, 2018, J SUSTAIN TOUR, V26, P108, DOI 10.1080/09669582.2017.1329310
   Fankhauser S, 2016, Climate change, development, poverty and economics
   Fei CCJ, 2023, ANNU REV RESOUR ECON, V15, P383, DOI 10.1146/annurev-resource-101422-041745
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Forzieri G, 2022, NATURE, V608, P534, DOI 10.1038/s41586-022-04959-9
   Fuhrer J, 2014, SCI TOTAL ENVIRON, V493, P1232, DOI 10.1016/j.scitotenv.2013.06.038
   Gao WD, 2022, ECOL INDIC, V137, DOI 10.1016/j.ecolind.2022.108745
   GILES BD, 1990, INT J BIOMETEOROL, V34, P98, DOI 10.1007/BF01093455
   Grimm Isabel Jurema, 2018, Rev. Bras. Pesq. Tur., V12, P1
   HamadAmin BA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065469
   He BJ, 2021, ENVIRON RES, V193, DOI 10.1016/j.envres.2020.110584
   Isinkaralar K, 2024, WATER AIR SOIL POLL, V235, DOI 10.1007/s11270-023-06879-4
   Isinkaralar O, 2024, NAT HAZARDS, V120, P7749, DOI 10.1007/s11069-024-06519-y
   Isinkaralar O, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-023-11999-9
   Jing X., 2022, BIODIVERS SCI, V30, P22462, DOI [10.17520/biods.2022462, DOI 10.17520/biods.2022462]
   Karimi V, 2018, J INTEGR AGR, V17, P1, DOI 10.1016/S2095-3119(17)61794-5
   Köberl J, 2016, SCI TOTAL ENVIRON, V543, P1039, DOI 10.1016/j.scitotenv.2015.03.099
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Koroglu A, 2019, OCEAN COAST MANAGE, V178, DOI 10.1016/j.ocecoaman.2019.05.001
   Kovaleva O, 2022, APPL GEOGR, V143, DOI 10.1016/j.apgeog.2022.102710
   Laino E, 2023, RENEW SUST ENERG REV, V184, DOI 10.1016/j.rser.2023.113587
   Laino E, 2023, OCEAN COAST MANAGE, V242, DOI 10.1016/j.ocecoaman.2023.106709
   Li JY, 2023, URBAN CLIM, V49, DOI 10.1016/j.uclim.2023.101559
   Li JY, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103925
   Liu LB, 2023, NAT ENERGY, V8, P870, DOI 10.1038/s41560-023-01304-w
   Liu Z, 2022, J ENVIRON MANAGE, V303, DOI 10.1016/j.jenvman.2021.114078
   Lockwood JW, 2024, GEOPHYS RES LETT, V51, DOI 10.1029/2023GL105624
   Lu SB, 2019, J CLEAN PROD, V233, P1387, DOI 10.1016/j.jclepro.2019.06.074
   Lucena R. L., 2016, International Journal of Climate Change: Impacts and Responses, V8, P15
   Malhi Y, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0104
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McLaughlin S, 2010, ENVIRON HAZARDS-UK, V9, P233, DOI 10.3763/ehaz.2010.0052
   Mereu S, 2016, SCI TOTAL ENVIRON, V543, P1028, DOI 10.1016/j.scitotenv.2015.04.066
   Noor NM, 2022, J MAR SCI ENG, V10, DOI 10.3390/jmse10050595
   Oloyede MO, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042097
   Pantusa D, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-26374-w
   Peng YT, 2023, J ENVIRON MANAGE, V326, DOI 10.1016/j.jenvman.2022.116682
   Pröbstl-Haider U, 2016, ENVIRON MANAGE, V58, P446, DOI 10.1007/s00267-016-0720-4
   Rabby YW, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101329
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Ren ZB, 2022, URBAN CLIM, V43, DOI 10.1016/j.uclim.2022.101154
   Russo MA, 2022, SUSTAIN ENERGY TECHN, V52, DOI 10.1016/j.seta.2022.102283
   Scott D, 2012, J SUSTAIN TOUR, V20, P883, DOI 10.1080/09669582.2012.699063
   [Seyboth Kristin. IPCC IPCC], 2014, CLIMATE CHANGE 2014
   Shen Feixue, 2023, J Environ Manage, V325, P116562, DOI 10.1016/j.jenvman.2022.116562
   Simac Z, 2023, HYDROLOGY-BASEL, V10, DOI 10.3390/hydrology10010014
   Skendzic S, 2021, INSECTS, V12, DOI 10.3390/insects12050440
   Tasnuva A, 2021, ENVIRON DEV SUSTAIN, V23, P10223, DOI 10.1007/s10668-020-01054-9
   Torda G, 2017, NAT CLIM CHANGE, V7, P627, DOI 10.1038/NCLIMATE3374
   Tzanopoulos J, 2011, LAND USE POLICY, V28, P585, DOI 10.1016/j.landusepol.2010.11.007
   Watson JEM, 2013, NAT CLIM CHANGE, V3, P989, DOI [10.1038/NCLIMATE2007, 10.1038/nclimate2007]
   Weatherdon LV, 2016, FRONT MAR SCI, V3, DOI 10.3389/fmars.2016.00048
   Yalew SG, 2020, NAT ENERGY, V5, P794, DOI 10.1038/s41560-020-0664-z
   Yang YQ, 2023, J AM WATER RESOUR AS, V59, P652, DOI 10.1111/1752-1688.13111
   Zamani R, 2020, WATER RESOUR MANAG, V34, P1093, DOI 10.1007/s11269-020-02486-8
   Zhang Q, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108483
NR 72
TC 3
Z9 3
U1 9
U2 9
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 2024
VL 177
IS 8
AR 118
DI 10.1007/s10584-024-03781-8
PG 17
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA YM4V8
UT WOS:001268902000001
OA hybrid
DA 2025-01-10
ER

PT J
AU Nabati, J
   Nemati, Z
   Rezazadeh, EB
AF Nabati, Jafar
   Nemati, Zahra
   Rezazadeh, Elaheh Boroumand
TI Involvement of Nitric Oxide in Biochemical and Physiological Response of
   Potato Seedling Under Cold Stress
SO JOURNAL OF PLANT GROWTH REGULATION
LA English
DT Article
DE Low temperature; Principal component analysis (PCA); Sodium
   nitroprusside (SNP); Squared cosine values (SCV)
ID IMPROVES CHILLING TOLERANCE; ANTIOXIDANT ENZYMES; FREEZING TOLERANCE;
   PLANT-RESPONSES; PLASMA-MEMBRANE; ACCLIMATION; MAIZE; L.
AB Cold temperatures harm tropical crops, but understanding how molecular signals help plants cope could aid in climate change adaptation. This study tested if sodium nitroprusside (SNP), a nitric oxide (NO) donor, could improve potato tolerance to cold. Potato seedlings, treated or non-treated (0.5 mM) with SNP, were exposed to cold stress (0 and -2 degrees C) for 6 h. The study was conducted in a completely randomized design, incorporating three factors in three replications. Results showed that cold stress reduced physiological and biochemical parameters in all seedlings, but less so in those treated with SNP. SNP treatment boosted physio-biochemical activity and increased levels of soluble sugars and enzymatic and non-enzymatic antioxidants. Seedlings treated with SNP and exposed to cold stress had lower levels of H2O2 and malondialdehyde, suggesting that NO may alleviate the harmful effects of cold. The analysis conducted using PCA demonstrated correlations between variables and treatment groups. Notably, the first two principal components (PC1 and PC2) accounted for 77.6% and 78.1% of total variance, respectively, under both 0 and - 2 degrees C temperatures. Under temperatures below 0 degrees C, the results of the factor analysis (FA) revealed that PC1 exhibited the highest distribution of data, containing the most prominent variation in Squared cosine values (SCV) values at 0.79. Among the variables, Electrolyte leakage (EL) had the best representation in PC1, with the corresponding maximum SCV values at 0.78 under - 2 degrees C. This result highlights the potential use of SNP in manipulating cold tolerance in potato plants.
C1 [Nabati, Jafar; Nemati, Zahra; Rezazadeh, Elaheh Boroumand] Ferdowsi Univ Mashhad, Fac Agr, Mashhad, Iran.
C3 Ferdowsi University Mashhad
RP Nabati, J (corresponding author), Ferdowsi Univ Mashhad, Fac Agr, Mashhad, Iran.
EM jafarnabati@um.ac.ir
RI nemati, zahra/HTQ-9881-2023
OI Nemati, Zahra/0009-0003-0314-5010
CR Abdi H, 2010, WIRES COMPUT STAT, V2, P433, DOI 10.1002/wics.101
   Abe N, 1998, BIOSCI BIOTECH BIOCH, V62, P661, DOI 10.1271/bbb.62.661
   Anelia GD., 2017, ACTA SCI AGR, V1, P38
   Balasubramanian P, 2023, BIORESOUR TECH REP, V23, DOI 10.1016/j.biteb.2023.101539
   BATES LS, 1973, PLANT SOIL, V39, P205, DOI 10.1007/BF00018060
   Chang CC, 2002, J FOOD DRUG ANAL, V10, P178
   CHEN HH, 1980, PLANT PHYSIOL, V65, P1146, DOI 10.1104/pp.65.6.1146
   Cheuvront SN, 2014, COMPR PHYSIOL, V4, P257, DOI 10.1002/cphy.c130017
   Choudhury FK, 2017, PLANT J, V90, P856, DOI 10.1111/tpj.13299
   Dere Sukran, 1998, Turkish Journal of Botany, V22, P13
   Diao QN, 2022, HORTSCIENCE, V57, P1249, DOI 10.21273/HORTSCI16677-22
   Ding F, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00244
   Ding YL, 2020, MOL PLANT, V13, P544, DOI 10.1016/j.molp.2020.02.004
   Dong NG, 2018, SCI HORTIC-AMSTERDAM, V230, P68, DOI 10.1016/j.scienta.2017.11.016
   DUBOIS M, 1956, ANAL CHEM, V28, P350, DOI 10.1038/168167a0
   Ejaz I, 2023, J PLANT GROWTH REGUL, V42, P5379, DOI 10.1007/s00344-023-10960-x
   Esim N, 2014, PLANT GROWTH REGUL, V72, P29, DOI 10.1007/s10725-013-9833-4
   Fan HF, 2014, HORTIC ENVIRON BIOTE, V55, P159, DOI 10.1007/s13580-014-0161-z
   Fan JB, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132991
   Fancy NN, 2017, PLANT CELL ENVIRON, V40, P462, DOI 10.1111/pce.12707
   Graziano M, 2007, PLANT J, V52, P949, DOI 10.1111/j.1365-313X.2007.03283.x
   Hussain HA, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00393
   Kapoor A, 2023, ALGAL RES, V69, DOI 10.1016/j.algal.2022.102908
   Li F, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122036
   Li YY, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10060915
   Liu T, 2019, ENVIRON EXP BOT, V161, P334, DOI 10.1016/j.envexpbot.2018.10.020
   Liu XW, 2011, AFR J BIOTECHNOL, V10, P4380
   Longo V., 2018, COLD TOLER PLANTS, DOI [10.1007/978-3-030-01415-58, DOI 10.1007/978-3-030-01415-58]
   Mao HT, 2018, INT J MOL SCI, V19, DOI 10.3390/ijms19103006
   Mora-Herrera ME, 2007, AM J POTATO RES, V84, P467, DOI 10.1007/BF02987883
   MURRAY MB, 1989, NEW PHYTOL, V113, P307, DOI 10.1111/j.1469-8137.1989.tb02408.x
   Nabi RBS, 2019, ENVIRON EXP BOT, V161, P120, DOI 10.1016/j.envexpbot.2019.02.003
   Neill S, 2008, J EXP BOT, V59, P165, DOI 10.1093/jxb/erm293
   PALTA JP, 1993, PLANT PHYSIOL, V103, P793, DOI 10.1104/pp.103.3.793
   PALTA JP, 1979, CROP SCI, V19, P665, DOI 10.2135/cropsci1979.0011183X001900050031x
   Palta JP., 1997, PLANT COLD HARDINESS, DOI [10.1007/978-1-4899-0277-17, DOI 10.1007/978-1-4899-0277-17]
   Rensink Willem Albert, 2005, Functional & Integrative Genomics, V5, P201, DOI 10.1007/s10142-005-0141-6
   Sánchez-Vicente I, 2019, J EXP BOT, V70, P4441, DOI 10.1093/jxb/erz339
   Sergiev I., 1997, Compt Rend Acad Bulg Sci, V51, P121
   Shah W, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0248200
   SHARP RE, 1990, PLANT PHYSIOL, V93, P1337, DOI 10.1104/pp.93.4.1337
   Shi CC, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.733236
   Singleton V. L., 1965, American Journal of Enology and Viticulture, V16, P144, DOI [DOI 10.5344/AJEV.1965.16.3.144, DOI 10.12691/IJEBB-2-1-5]
   Sohag AA, 2020, NITRIC OXIDE-BIOL CH, V100, P7, DOI 10.1016/j.niox.2020.04.001
   STEPONKUS PL, 1990, PHILOS T R SOC B, V326, P571, DOI 10.1098/rstb.1990.0032
   Wang AB, 2021, NANOMATERIALS-BASEL, V11, DOI 10.3390/nano11102670
   Wang YZ, 2021, HORTICULTURAE, V7, DOI 10.3390/horticulturae7100410
   Wu P, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23105615
   Yan CC, 2021, FRONT ECOL EVOL, V9, DOI 10.3389/fevo.2021.727081
   Zhang L, 2021, GENE, V764, DOI 10.1016/j.gene.2020.145097
   Zhang T, 2017, POSTHARVEST BIOL TEC, V127, P88, DOI 10.1016/j.postharvbio.2017.01.005
   Zhang ZW, 2020, SCI HORTIC-AMSTERDAM, V261, DOI 10.1016/j.scienta.2019.108953
   Zheng S, 2021, J PLANT PHYSIOL, V266, DOI 10.1016/j.jplph.2021.153534
NR 53
TC 0
Z9 0
U1 2
U2 2
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0721-7595
EI 1435-8107
J9 J PLANT GROWTH REGUL
JI J. Plant Growth Regul.
PD NOV
PY 2024
VL 43
IS 11
BP 4321
EP 4332
DI 10.1007/s00344-024-11401-z
EA JUL 2024
PG 12
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA K9E2Q
UT WOS:001261201200001
DA 2025-01-10
ER

PT J
AU Li, DH
   Zhou, TJ
   Qi, YC
   Zou, LW
   Li, C
   Zhang, WX
   Chen, XL
AF Li, Donghuan
   Zhou, Tianjun
   Qi, Youcun
   Zou, Liwei
   Li, Chao
   Zhang, Wenxia
   Chen, Xiaolong
TI Future reduction of cold extremes over East Asia due to thermodynamic
   and dynamic warming
SO ATMOSPHERIC CHEMISTRY AND PHYSICS
LA English
DT Article
ID WINTER MONSOON; SEA-ICE; ATMOSPHERIC CIRCULATION; ARCTIC OSCILLATION;
   CLIMATE VARIABILITY; NORTH-AMERICA; TEMPERATURE; PRECIPITATION;
   PATTERNS; METHODOLOGY
AB Cold extremes have large impacts on human society. Understanding the physical processes dominating the changes in cold extremes is crucial for a reliable projection of future climate change. The observed cold extremes have decreased during the last several decades, and this trend will continue under future global warming. Here, we quantitatively identify the contributions of dynamic (changes in large-scale atmospheric circulation) and thermodynamic (rising temperatures resulting from global warming) effects to East Asian cold extremes in the past several decades and in a future warm climate by using two sets of large-ensemble simulations of climate models. We show that the dynamic component accounts for over 80 % of the cold-month (coldest 5 % boreal winter months) surface air temperature (SAT) anomaly over the past 5 decades. However, in a future warm climate, the thermodynamic change is the main contributor to the decreases in the intensity and occurrence probability of East Asian cold extremes, while the dynamic change is also contributive. The intensity of East Asian cold extremes will decrease by around 5 degrees C at the end of the 21st century, in which the thermodynamic (dynamic) change contributes approximately 75 % (25 %). The present-day (1986-2005) East Asian cold extremes will almost never occur after around 2035, and this will happen 10 years later due solely to thermodynamic change. The upward trend of a positive Arctic Oscillation-like sea level pressure pattern dominates the changes in the dynamic component. The finding provides a useful reference for policymakers in climate change adaptation activities.
C1 [Li, Donghuan; Qi, Youcun] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China.
   [Zhou, Tianjun; Zou, Liwei; Zhang, Wenxia; Chen, Xiaolong] Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China.
   [Li, Donghuan; Zhou, Tianjun; Qi, Youcun] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Li, Chao] Max Planck Inst Meteorol, Hamburg, Germany.
   [Zhou, Tianjun] Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; Institute of
   Atmospheric Physics, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; Max Planck Society; Chinese Academy of
   Sciences
RP Zhou, TJ (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China.; Zhou, TJ (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Zhou, TJ (corresponding author), Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
EM zhoutj@lasg.iap.ac.cn
RI zou, liwei/HGB-4742-2022; Zhang, Wenxia/L-8394-2015; Li,
   Chao/L-1915-2015
OI Zhang, Wenxia/0000-0001-8614-8070; Li, Chao/0000-0003-2556-0891
FU National Natural Science Foundation of China [42105031, 41988101];
   German Research Foundation (DFG, Clusters of Excellence CLICCS,
   University of Hamburg) [EXC2037]
FX This research has been supported by the National Natural Science
   Foundation of China (grant nos. 42105031 and 41988101) and the German
   Research Foundation (DFG, Clusters of Excellence CLICCS (EXC2037),
   University of Hamburg).
CR AghaKouchak A, 2020, ANNU REV EARTH PL SC, V48, P519, DOI 10.1146/annurev-earth-071719-055228
   Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Andreescu MP, 1998, CLIMATE RES, V9, P225, DOI 10.3354/cr009225
   Boschat G, 2015, CLIM DYNAM, V44, P1823, DOI 10.1007/s00382-014-2214-5
   Cai WJ, 2017, NAT CLIM CHANGE, V7, P257, DOI [10.1038/nclimate3249, 10.1038/NCLIMATE3249]
   Cattiaux J, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044613
   Cheung HN, 2012, J CLIMATE, V25, P4242, DOI 10.1175/JCLI-D-11-00225.1
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776
   Deser C, 2016, J CLIMATE, V29, P2237, DOI 10.1175/JCLI-D-15-0304.1
   Donat MG, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052459
   Fischer EM, 2011, CLIM DYNAM, V37, P1381, DOI 10.1007/s00382-010-0915-y
   Francis JA, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051000
   Fyfe JC, 1999, GEOPHYS RES LETT, V26, P1601, DOI 10.1029/1999GL900317
   Gong DY, 2001, GEOPHYS RES LETT, V28, P2073, DOI 10.1029/2000GL012311
   Gong HN, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abd586
   Gong HN, 2019, GEOPHYS RES LETT, V46, P10874, DOI 10.1029/2019GL084154
   Guo RX, 2019, GEOPHYS RES LETT, V46, P3426, DOI 10.1029/2018GL081316
   Harris I, 2014, INT J CLIMATOL, V34, P623, DOI 10.1002/joc.3711
   He SP, 2017, EARTH-SCI REV, V164, P48, DOI 10.1016/j.earscirev.2016.10.014
   He SP, 2013, J CLIMATE, V26, P9819, DOI 10.1175/JCLI-D-13-00174.1
   Horton DE, 2015, NATURE, V522, P465, DOI 10.1038/nature14550
   Hu KM, 2019, CLIM DYNAM, V52, P6229, DOI 10.1007/s00382-018-4503-x
   Jiang DB, 2013, CHINESE SCI BULL, V58, P1427, DOI 10.1007/s11434-012-5533-0
   Jones GS, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2007JD008914
   Kay JE, 2015, B AM METEOROL SOC, V96, P1333, DOI 10.1175/BAMS-D-13-00255.1
   Kharin VV, 2018, EARTHS FUTURE, V6, P704, DOI 10.1002/2018EF000813
   Kharin VV, 2013, CLIMATIC CHANGE, V119, P345, DOI 10.1007/s10584-013-0705-8
   Kitoh A, 2017, J METEOROL SOC JPN, V95, P7, DOI 10.2151/jmsj.2017-002
   Lee SH, 2021, WEATHER, V76, P135, DOI 10.1002/wea.3966
   Li C, 2021, J CLIMATE, V34, P3441, DOI 10.1175/JCLI-D-19-1013.1
   Li C, 2015, GEOPHYS RES LETT, V42, P8131, DOI 10.1002/2015GL065327
   Lu Q, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac12f4
   Luo DH, 2017, J CLIMATE, V30, P3569, DOI [10.1175/jcli-d-16-0262.1, 10.1175/JCLI-D-16-0262.1]
   Ma SM, 2018, J CLIMATE, V31, P5543, DOI 10.1175/JCLI-D-17-0463.1
   Ma SM, 2017, J CLIMATE, V30, P6543, DOI [10.1175/JCLI-D-16-0636.1, 10.1175/jcli-d-16-0636.1]
   Ma SM, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa69d2
   Maher N, 2019, J ADV MODEL EARTH SY, V11, P2050, DOI 10.1029/2019MS001639
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McCusker KE, 2016, NAT GEOSCI, V9, P838, DOI [10.1038/ngeo2820, 10.1038/NGEO2820]
   Mori M, 2014, NAT GEOSCI, V7, P869, DOI 10.1038/NGEO2277
   Norris J, 2019, J CLIMATE, V32, P1025, DOI 10.1175/JCLI-D-18-0302.1
   Overland JE, 2011, POLAR RES, V30, DOI 10.3402/polar.v30i0.15787
   Peings Y, 2014, J CLIMATE, V27, P244, DOI 10.1175/JCLI-D-13-00272.1
   Qian C, 2018, B AM METEOROL SOC, V99, pS118, DOI 10.1175/BAMS-D-17-0095.1
   Rahimzadeh F, 2009, INT J CLIMATOL, V29, P329, DOI 10.1002/joc.1739
   Räisänen J, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049758
   Röthlisberger M, 2023, GEOPHYS RES LETT, V50, DOI 10.1029/2022GL101670
   Sanderson BM, 2017, EARTH SYST DYNAM, V8, P827, DOI 10.5194/esd-8-827-2017
   Seneviratne SI, 2010, EARTH-SCI REV, V99, P125, DOI 10.1016/j.earscirev.2010.02.004
   Shepherd TG, 2014, NAT GEOSCI, V7, P703, DOI 10.1038/NGEO2253
   Sheridan SC, 2015, CURR CLIM CHANGE REP, V1, P155, DOI 10.1007/s40641-015-0017-3
   Simmonds I, 2015, ANN GLACIOL, V56, P18, DOI 10.3189/2015AoG69A909
   Smoliak BV, 2015, J CLIMATE, V28, P1613, DOI 10.1175/JCLI-D-14-00111.1
   Steponkus P.L., 1978, ADV AGRON, V30, P51
   Sun L, 2016, GEOPHYS RES LETT, V43, P5345, DOI 10.1002/2016GL069024
   Sun Y, 2014, NAT CLIM CHANGE, V4, P1082, DOI 10.1038/NCLIMATE2410
   Thompson DWJ, 2009, J CLIMATE, V22, P6120, DOI 10.1175/2009JCLI3089.1
   Thompson DWJ, 1998, GEOPHYS RES LETT, V25, P1297, DOI 10.1029/98GL00950
   Thornton HE, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/11/114015
   Trenary L, 2016, B AM METEOROL SOC, V97, pS31, DOI 10.1175/BAMS-D-16-0156.1
   Wallace JM, 2012, P NATL ACAD SCI USA, V109, P14337, DOI 10.1073/pnas.1204875109
   Walsh JE, 2014, GLOBAL PLANET CHANGE, V117, P52, DOI 10.1016/j.gloplacha.2014.03.003
   Wang CZ, 2021, ADV ATMOS SCI, V38, P896, DOI 10.1007/s00376-021-1094-y
   Wang L, 2019, CLIM DYNAM, V52, P6735, DOI 10.1007/s00382-018-4542-3
   Westra S, 2014, REV GEOPHYS, V52, P522, DOI 10.1002/2014RG000464
   Xu MM, 2016, INT J CLIMATOL, V36, P2139, DOI 10.1002/joc.4480
   Yamaguchi K, 2006, J METEOROL SOC JPN, V84, P221, DOI 10.2151/jmsj.84.221
   Zhang WX, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05633-3
   Zhou TJ, 2022, ADV ATMOS SCI, V39, P1598, DOI 10.1007/s00376-022-2063-9
   Zhou W, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL027809
NR 70
TC 0
Z9 0
U1 5
U2 6
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1680-7316
EI 1680-7324
J9 ATMOS CHEM PHYS
JI Atmos. Chem. Phys.
PD JUN 27
PY 2024
VL 24
IS 12
BP 7347
EP 7358
DI 10.5194/acp-24-7347-2024
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA WM4E3
UT WOS:001255266900001
OA gold
DA 2025-01-10
ER

PT J
AU Khatal, M
   Narute, T
   Sonawane, R
   Bhalerao, V
   Dalvi, S
AF Khatal, Mahadev
   Narute, Tanaji
   Sonawane, Rakesh
   Bhalerao, Vikas
   Dalvi, Sunil
TI Combination of irradiated chitosan and microbial agent to reduce downy
   mildew on grapevine cv. Thompson seedless
SO BIOPOLYMERS
LA English
DT Article
DE bioagent; downy mildew; grapevine; irradiated chitosan; sustainability
ID RESISTANCE
AB Globally sustainable disease management ensuring high quality in grapes is in demand as it holds significant importance as a versatile fruit for consumption, winemaking, and production of various products such as grape juice, raisin, and grape-seed oil. The present paper reports a combination of nano-biotechnology as a promising strategy for enhancing plant health and fruit productivity in grapes combining Irradiated chitosan nanoparticles and bio-control agents. The Irradiated Chitosan with Bacillus subtilis and Trichoderma viridae and pesticides were evaluated for disease management. Percent disease index, percent disease control, and percent yield enhancement in Cymoxanil 8% + Mamcozeb 64% WP @ 0.2% treatment were as 17. 24%, 67.97% and 33.91% in 150 ppm Irradiated chitosan+B. subtilis were 19.83, 63.16, 30.41 and in Trichoderma 150 ppm Irradiated chitosan were 24.58, 54.33, and 27.40, respectively as compared to untreated crop with disease severity 53.84% PDI. Thus, irradiated chitosan and Bacillus subtilis elucidated a synergistic combination for residue-free efficient phytosanitary measures, which harnessed the strength of chitosan and bio-control agents for sustainable grape productivity. These findings will also pave the way for a deeper understanding of the synergistic interaction between Irradiated nanochitosan and bio-control agents for an eco-friendly and economically viable disease management strategy. The minimum temperature and morning relative humidity (RH I) had positive significance, with correlation coefficients of 0.484 and 0.485, respectively. The evening relative humidity (RH II) had a positive highly significant positive correlation coefficient of 0.664. Chitosan merits as a multiple stress tolerance enhancing agent that will further help in mitigating climate change adaptations in grapevines reducing reliance on chemical agro-inputs.
   image
C1 [Khatal, Mahadev; Narute, Tanaji] Post Grad Inst MPKV, Dept Plant Pathol & Microbiol, Rahuri, Maharashtra, India.
   [Sonawane, Rakesh] Onion & Grape Res Stn Pimpalgaon Basawant, Nasik, Maharashtra, India.
   [Bhalerao, Vikas] MPKV, All India Coordinated Res Project Fruits, Rahuri, Maharashtra, India.
   [Dalvi, Sunil] Vasantdada Sugar Inst, Agr Sci & Technol Dept, Manjari,Bk, Pune, Maharashtra, India.
RP Dalvi, S (corresponding author), Vasantdada Sugar Inst, Agr Sci & Technol Dept, Manjari,Bk, Pune, Maharashtra, India.
EM sgdalvi@gmail.com
OI Dalvi, Sunil/0000-0001-6055-4492
CR Pirouz AA, 2020, TOXINS, V12, DOI 10.3390/toxins12020115
   Aziz A, 2006, PHYTOPATHOLOGY, V96, P1188, DOI 10.1094/PHYTO-96-1188
   Bavaresco Luigi, 2023, BIO Web of Conferences, V68, DOI 10.1051/bioconf/20236801001
   Choudhary R. S., 2014, The Bioscan, V9, P823
   Czermainski Ana Beatriz Costa, 2004, Cienc. Rural, V34, P5, DOI 10.1590/S0103-84782004000100002
   Dalvi S., 2021, RADIATIONPROCESSED P, V2022
   El Hadrami A, 2010, MAR DRUGS, V8, P968, DOI 10.3390/md8040968
   Elsharkawy M. M., 2014, J BIOL PEST CONTROL, V24, P301
   Ghule M. R., 2018, Journal of Eco-friendly Agriculture, V13, P80
   Gwinn KD, 2018, STUDIES IN NATURAL PRODUCTS CHEMISTRY, VOL 56, P229, DOI 10.1016/B978-0-444-64058-1.00007-8
   HORSFALL JG, 1945, PHYTOPATHOLOGY, V35, P655
   Khatal M. P., 2022, J PHARM INNOV, V11, P92
   Li Y, 2019, MOL PLANT PATHOL, V20, P1037, DOI 10.1111/mpp.12809
   Mian G, 2023, PHYSIOL MOL PLANT P, V125, DOI 10.1016/j.pmpp.2023.102025
   Muley AB, 2019, CARBOHYD POLYM, V210, P289, DOI 10.1016/j.carbpol.2019.01.056
   Nandeeshkumar P, 2008, PHYSIOL MOL PLANT P, V72, P188, DOI 10.1016/j.pmpp.2008.09.001
   Panse V.G., 1967, STAT METHOD AGR WORK
   Parker KM, 2019, ENVIRON SCI TECHNOL, V53, P3027, DOI 10.1021/acs.est.8b05576
   S. Meynaud G. Huet D. Brul C. Gardrat B. Poinssot V. Coma, 2023, MOLECULES, V28
   Sawant S. D., 2010, Journal of Eco-friendly Agriculture, V5, P179
   Sawant S. D., 2016, Indian Phytopathology, V69, P338
   SHANER G, 1977, PHYTOPATHOLOGY, V67, P1051, DOI 10.1094/Phyto-67-1051
   Sharp RG, 2013, AGRONOMY-BASEL, V3, P757, DOI 10.3390/agronomy3040757
   WHEELER B E J, 1969, P374
NR 24
TC 0
Z9 0
U1 3
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0006-3525
EI 1097-0282
J9 BIOPOLYMERS
JI Biopolymers
PD SEP
PY 2024
VL 115
IS 5
DI 10.1002/bip.23603
EA JUN 2024
PG 7
WC Biochemistry & Molecular Biology; Biophysics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Biophysics
GA G9A0X
UT WOS:001248773900001
PM 38888353
DA 2025-01-10
ER

PT J
AU Costa, C Jr
   Thornton, P
   Wollenberg, E
AF Costa Jr, Ciniro
   Thornton, Philip
   Wollenberg, Eva
TI Global hotspots of climate change adaptation and mitigation in
   agriculture
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE climate change; policy; resilience; global strategies; food security;
   poverty alleviation; Paris Agreement
AB As countries prioritize climate action under the Paris Agreement, determining the overlap in agricultural areas requiring both adaptation and mitigation (A&M) interventions could lead to more efficient use of resources and support for farmers. Here, we identify global priorities for A&M by evaluating global datasets on greenhouse gas (GHG) emissions and climate hazards related to agriculture. We show that joint A&M hotspots cover <23% of global agricultural emissions and include 52% of the areas with significant climate hazards. The major portion of the joint area is croplands (ranging from 213 to 364 Mha), followed by pastures (3-74 Mha), and is concentrated in countries with limited ability to investment in adaptation actions. The most substantial A&M hotspots are situated across South Asia, with smaller areas in South East Asia, Africa, and Latin America. We highlight three findings from this analysis. First, most emissions and climate hazards do not occur in the same agricultural areas, suggesting the need for different strategies to address adaptation and mitigation separately in these areas. Second, in the areas where emissions and climate hazards do overlap, coordinated climate interventions that address emission reductions and adaptation at the same time would be a more effective use of scarce climate action investments. Third, A&M hotspots span national borders, emphasizing the importance of setting priorities and implementing action at regional and international scales. While our analysis highlights that focusing on adaptation and mitigation actions in the agricultural landscapes where they are most needed could help make the best use of climate finance, we recognize the pragmatic and justice-related implications may limit the extent of such prioritization. Balancing these considerations is essential for effective climate finance allocation and equitable climate action outcomes.
C1 [Costa Jr, Ciniro; Wollenberg, Eva] Alliance Biovers Int & Int Ctr Trop Agr, Cali, Colombia.
   [Thornton, Philip; Wollenberg, Eva] Clim Eat, Wageningen, Netherlands.
   [Wollenberg, Eva] Univ Vermont, Gund Inst Environm, Burlington, VT USA.
C3 University of Vermont
RP Costa, C Jr (corresponding author), Alliance Biovers Int & Int Ctr Trop Agr, Cali, Colombia.
EM c.costajr@cgiar.org
FU United States Agency for International Development (USAID)
FX The team is grateful to all partners and colleagues that contributed to
   this study, especially Vinicius Mesquita (LAPIG) and Nina Safavi (UVM),
   for their thoughtful feedback on the analysis. We would also like to
   thank the support of the One CGIAR Initiative on Livestock and Climate
   and the One CGIAR Hub for Sustainable Finance.r Funding was provided by
   United States Agency for International Development (USAID). The views
   expressed in this document cannot be taken to reflect the official
   opinions of this organization.
CR [Anonymous], 2021, World Bank Group climate change action plan 20212025: Supporting green, resilient, and inclusive development strategy document
   [Anonymous], 2020, ND-GAIN - The Notre dame global adaptation initiative - country index
   [Anonymous], 2014, CLIMATE CHANGE 2014, P151
   Awuni S, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e15491
   Barrett CB, 2020, NAT SUSTAIN, V3, P974, DOI 10.1038/s41893-020-00661-8
   Costa C Jr, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-18601-1
   Crippa M, 2021, NAT FOOD, V2, P198, DOI 10.1038/s43016-021-00225-9
   Di Gregorio M, 2017, ENVIRON SCI POLICY, V67, P35, DOI 10.1016/j.envsci.2016.11.004
   EDGAR, 2021, EM DAT GLOB ATM RES
   Ericksen P., 2011, Mapping hotspots of climate change and food insecurity in the global tropics
   FAOSTAT, 2023, Catalysing the Sustainable and Inclusive Transformation of Food Systems
   Gebre GG, 2023, CLIM RISK MANAG, V40, DOI 10.1016/j.crm.2023.100495
   Herrero M, 2013, P NATL ACAD SCI USA, V110, P20888, DOI 10.1073/pnas.1308149110
   Hijbeek R., 2019, FERTILISER USE SOIL
   Islam MS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030883
   Jarvis A, 2021, CLIMATE INFORM PRIOR
   Klein RJT, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P745
   Kongsager R, 2018, LAND-BASEL, V7, DOI 10.3390/land7040158
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Porter JR, 2019, GLOBAL CHANGE BIOL, V25, P2518, DOI 10.1111/gcb.14700
   Potapov P, 2022, NAT FOOD, V3, P19, DOI 10.1038/s43016-021-00429-z
   Ramankutty N, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002952
   Richards M., 2016, How countries plan to address agricultural adaptation and mitigation: An analysis of Intended Nationally Determined Contributions
   Roe S, 2021, GLOBAL CHANGE BIOL, V27, P6025, DOI 10.1111/gcb.15873
   Rose S, 2021, CCAFS DATASET VERSIO
   Rosenzweig C, 2020, NAT FOOD, V1, P94, DOI 10.1038/s43016-020-0031-z
   Ross N., 2016, FAO
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Steiner A., 2020, Actions to Transform Food Systems under Climate Change
   Wiese L, 2021, CLIM POLICY, V21, P1005, DOI 10.1080/14693062.2021.1969883
   Winkler K, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22702-2
   Zhao CL, 2018, ECOSYST HEALTH SUST, V4, P85, DOI 10.1080/20964129.2018.1466632
NR 33
TC 1
Z9 1
U1 4
U2 14
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 NOV 16
PY 2023
VL 7
AR 1216205
DI 10.3389/fsufs.2023.1216205
PG 7
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA Z3DH3
UT WOS:001110907500001
OA gold
DA 2025-01-10
ER

PT J
AU Lawrence, R
   Ogilvy, S
   O'Brien, D
   Gardner, M
   McIntyre, S
AF Lawrence, Rachel
   Ogilvy, Sue
   O'Brien, Danny
   Gardner, Mark
   McIntyre, Sue
TI Processes underpinning natural capital account compilation highlight the
   potential for low-input grazing to mitigate farm carbon emissions while
   also improving biodiversity outcomes
SO RANGELAND JOURNAL
LA English
DT Article
DE biodiversity conservation; climate change adaptation; greenhouse gas
   fluxes; landscape ecology; nature-based solutions; sustainable
   livelihoods; system of environmental economic accounting; woodland
   ecology
ID TABLELANDS; MANAGEMENT; LAND
AB Remnant woodland areas are commonly part of livestock grazing operations in temperate Australia. These remnant areas can store substantial amounts of carbon and have important biodiversity value, but are at risk of ongoing decline due to nutrient enrichment, overgrazing, clearing of woody debris and lack of tree recruitment. The process of compiling experimental farm-scale natural capital accounts (NCA) for 11 wool-growing businesses in temperate Australia demonstrated that some wool growers may be managing these areas in ways that sustained, and at times regenerated, carbon and other natural values. When managed sensitively, these largely native areas provide forage and shelter for livestock production while carbon and associated biodiversity is also protected, and in some cases regenerated. The farm-scale NCA process highlighted that for some farm businesses net sequestration of carbon can occur at a farm-scale, substantially owing to the management approach applied to these remnant areas. The process highlighted the potential for livestock grazing approaches underpinned by the ecosystem services provided by native grasses, forbs and woodlands (i.e. low-input rather than nutrient enrichment and pasture modification) to contribute to balancing carbon emissions from other areas of more intensive management within a farm business. With the current momentum worldwide aimed at achieving net zero emissions, there is an opportunity that has not existed previously to conserve, and sometimes regenerate, these remnant woodland areas on farmland. This could contribute to reversing a crisis of biodiversity loss in this threatened ecosystem while also helping farm businesses to reduce overall carbon emissions.
C1 [Lawrence, Rachel] Bush Heritage Australia, Melbourne, Vic 3000, Australia.
   [Ogilvy, Sue; McIntyre, Sue] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2600, Australia.
   [Ogilvy, Sue; O'Brien, Danny] Integrated Futures, Gundaroo, NSW 2620, Australia.
   [Gardner, Mark] Vanguard Business Serv, Dubbo, NSW 2875, Australia.
   [Lawrence, Rachel] Bush Heritage Australia, Melbourne, Australia.
C3 Bush Heritage Australia; Australian National University; Bush Heritage
   Australia
RP Lawrence, R (corresponding author), Bush Heritage Australia, Melbourne, Australia.
EM rachel.lawrence@bushheritage.org.au
RI McIntyre, Sue/F-1885-2010; Lawrence, Rachel/GPX-9034-2022
OI McIntyre, Sue/0000-0002-0399-750X; Lawrence, Rachel/0000-0001-8773-475X
FU Australian Wool Innovation (AWI)
FX This work was supported with funding from Australian Wool Innovation
   (AWI).
CR Australian Government Department of Agriculture Water and Environment, 2022, PRIV LANDH
   Australian Government Department of Climate Change Energy the Environment and Water, 2022, SPEC PROF THREATS DA
   Australian Government Department of Industry Science Energy and Resources, 2022, FULL CARB ACC MOD FU
   Australian Wool Innovation, 2021, NAT CAP ACC MEAS ENV
   Barber CV, 2020, NEXUS REPORT NATURE, P55
   Barrett G. W., 1994, Pacific Conservation Biology, V1, P245
   Bird PR, 2004, AUST J EXP AGR, V44, P559, DOI 10.1071/EA03019
   Capitals Coalition, 2020, DRAFT TEEB AGR FOOD
   Clean Energy Regulator, 2021, HUM IND REG PERM EV
   Dorrough J, 2007, AGR ECOSYST ENVIRON, V121, P222, DOI 10.1016/j.agee.2006.12.012
   Dorrough J, 2006, BIOL CONSERV, V130, P394, DOI 10.1016/j.biocon.2005.12.032
   Eldridge D. J., 2002, Australian Forestry, V65, P268
   EPA, 2021, NSW STAT ENV 2021, P117
   Gibbons P, 2008, CONSERV BIOL, V22, P1309, DOI 10.1111/j.1523-1739.2008.00997.x
   Gibbons Philip, 2002, Ecological Management & Restoration, V3, P205, DOI 10.1046/j.1442-8903.2002.00114.x
   Kashmanian RM., 2014, Environmental Quality Management, V23, P13
   Keith H, 2021, SCI TOTAL ENVIRON, V769, DOI 10.1016/j.scitotenv.2020.144341
   KOTLIAR NB, 1990, OIKOS, V59, P253, DOI 10.2307/3545542
   Lavorel S, 2015, GLOBAL CHANGE BIOL, V21, P12, DOI 10.1111/gcb.12689
   Lawrence R, 2019, AGR ECOSYST ENVIRON, V281, P134, DOI 10.1016/j.agee.2019.04.031
   McIntyre S., 2005, Ecological Management & Restoration, V6, P71, DOI 10.1111/j.1442-8903.2005.221-3.x
   McIntyre S, 2007, AGR ECOSYST ENVIRON, V119, P11, DOI 10.1016/j.agee.2006.06.013
   McIntyre S., 2022, Cunninghamia, V22, P27, DOI 10.7751/cunninghamia.2022.003
   MCINTYRE S, 1992, CONSERV BIOL, V6, P146, DOI 10.1046/j.1523-1739.1992.610146.x
   McIntyre S., 2002, Managing and Conserving Grassy Woodlands
   Ogilvy S, 2022, SUSTAIN ACCOUNT MANA, V13, P765, DOI 10.1108/SAMPJ-06-2021-0191
   Reid N, 2000, TEMPERATE EUCALYPT WOODLANDS IN AUSTRALIA, P127
   Scott JM, 2013, ANIM PROD SCI, V53, P628, DOI 10.1071/AN12265
   Simpson P, 1996, NEWSLETTER, P8
   Smith FP, 2013, AGR ECOSYST ENVIRON, V166, P35, DOI 10.1016/j.agee.2012.01.014
   TREMONT RM, 1994, AUST J BOT, V42, P511, DOI 10.1071/BT9940511
   Unc A, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.663448
   United Nations European Commission Food and Agriculture Organisation of the United Nations Organisation for Economic Cooperation and Development & World Bank Group, 2014, SYST ENV EC ACC 2012, P177
   van der Lugt C., 2020, Carrots and sticks: sustainability reporting policy: global trends in disclosure as the ESG agenda goes mainstream
   Waters C, 2020, ABATEMENT OPPORTUNIT
   Whitten SM, 2010, MULTIPLE ECOLOGICAL
   World Economic Forum, 2022, EXPL CARB INS VS OFF
   WRI WBCSD, 2020, GREENHOUSE GAS PROTO, P103
NR 38
TC 2
Z9 2
U1 2
U2 14
PU CSIRO PUBLISHING
PI CLAYTON SOUTH
PA Private Bag 10, CLAYTON SOUTH, VIC 3169, AUSTRALIA
SN 1036-9872
EI 1834-7541
J9 RANGELAND J
JI Rangeland J.
PY 2023
VL 45
IS 1
BP 27
EP 35
DI 10.1071/RJ22053
EA JUN 2023
PG 9
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA J8JY7
UT WOS:001001186500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Darge, A
   Haji, J
   Beyene, F
   Ketema, M
AF Darge, Aberham
   Haji, Jema
   Beyene, Fekadu
   Ketema, Mengistu
TI Smallholder Farmers' Climate Change Adaptation Strategies in the
   Ethiopian Rift Valley: The Case of Home Garden Agroforestry Systems in
   the Gedeo Zone
SO SUSTAINABILITY
LA English
DT Article
DE climate change; adaptation strategies; home garden agroforestry;
   multivariate probit model; Ethiopia
ID SMART AGRICULTURAL PRACTICES; LAND MANAGEMENT-PRACTICES; NILE BASIN;
   ADOPTION; DETERMINANTS; VARIABILITY; IMPACTS; CHOICE; RISK
AB Smallholder farmers who rely on home garden agroforestry are experiencing significant impacts from climate change. To mitigate these effects, it is crucial for farmers to have access to various adaptation strategies. This study collected data from 384 randomly selected respondents in 18 kebeles over three districts, using descriptive statistics and a multivariate probit model to evaluate the factors influencing smallholder farmers' decisions on their adaptation strategies against climate change. In Ethiopia's Gedeo zone, this study found that smallholder farmers employ a range of adaptation methods, including expanding their agroforestry system, implementing modern agriculture techniques, conserving soil and water, diversifying their livelihoods, and employing various coping mechanisms. By analyzing data using the multivariate probit model, this study found several factors that had a significant impact on smallholder farmers' choice of adaptation options. These factors include social network, age, education level, farming experience, household size, cultivated land size, annual income, and livestock holding. In addition, factors such as perception of climate change, previous experience of crop failure, recurrent drought, and access to information about climate change, occurrence of frost, agricultural extension contacts, access to farmer-to-farmer extension services, and perception of land infertility also influence their decision-making process. Our findings highlight the importance of improving institutional services in rural areas, promoting education on climate change, and strengthening social networks to enhance the ability of smallholder farmers to cope with the effects of climate change.
C1 [Darge, Aberham] Haramaya Univ, Africa Ctr Excellence Climate Smart Agr & Biodive, POB 138, Dire Dawa, Ethiopia.
   [Haji, Jema] Haramaya Univ, Coll Agr & Environm Sci, Sch Agr Econ, POB 138, Dire Dawa, Ethiopia.
   [Beyene, Fekadu] Haramaya Univ, Coll Agr & Environm Sci, Sch Rural Dev & Agr Innovat, POB 138, Dire Dawa, Ethiopia.
   [Ketema, Mengistu] Ethiopian Econ Assoc, POB 34282, Addis Ababa, Ethiopia.
C3 Haramaya University; Haramaya University; Haramaya University
RP Darge, A (corresponding author), Haramaya Univ, Africa Ctr Excellence Climate Smart Agr & Biodive, POB 138, Dire Dawa, Ethiopia.
EM aberhamkebedom@du.edu.et; mengistu.ketema@eea-et.com
RI Kenee, Fekadu Beyene/JJE-1581-2023; Kebedom, Aberham/KQU-3078-2024
OI Kebedom, Aberham/0000-0002-5145-7268; Ketema,
   Mengistu/0000-0001-9971-3657
FU Africa Center of Excellence for Climate Smart Agriculture and
   Biodiversity Conservation, Haramaya University
FX Africa Center of Excellence for Climate Smart Agriculture and
   Biodiversity Conservation, Haramaya University, Ethiopia as part of a
   research study.
CR Abera N, 2019, ENVIRON SOCIO-ECON S, V7, P1, DOI 10.2478/environ-2019-0019
   Abid M, 2017, CLIMATE, V5, DOI 10.3390/cli5040085
   Adams A, 2021, COGENT ECON FINANC, V9, DOI 10.1080/23322039.2021.2006905
   Addis Y, 2021, INT J CLIM CHANG STR, V13, P463, DOI 10.1108/IJCCSM-09-2020-0096
   Adeagbo OA, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06231
   Agroforestry Network and Vi-Skogen, 2018, ACH GLOB GOALS AGR A
   Ajak B.J., 2018, Am. J. Clim. Change, V7, P431, DOI [10.4236/ajcc.2018.73026, DOI 10.4236/AJCC.2018.73026]
   Alemayehu A, 2017, ENVIRON DEV, V24, P77, DOI 10.1016/j.envdev.2017.06.006
   Alemuorcid Melku Dagnachew, 2019, Agricultural Sciences, V10, P46, DOI 10.4236/as.2019.101005
   Amfo B, 2020, FOREST POLICY ECON, V119, DOI 10.1016/j.forpol.2020.102265
   [Anonymous], 1994, Handbook of econometrics
   [Anonymous], 2014, Climate Change 2014- Synthesis Report, DOI DOI 10.1017/CBO9781107415324
   [Anonymous], 2021, Climate Risk Profile: Indonesia
   Antwi-Agyei P, 2018, CLIM RISK MANAG, V19, P83, DOI 10.1016/j.crm.2017.11.003
   Aryal JP, 2018, NAT RESOUR FORUM, V42, P141, DOI 10.1111/1477-8947.12152
   Asrat P., 2017, Agriculture Food Security, V6, P61, DOI [10.1186/s40066-017-0148-y, DOI 10.1186/S40066-017-0148-Y]
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Asrat P, 2017, CLIM CHANG MANAG, P45, DOI 10.1007/978-3-319-49520-0_4
   Ayele Y., 2014, J EC SUSTAINABLE DEV, V5, P72
   Belderbos R, 2004, INT J IND ORGAN, V22, P1237, DOI 10.1016/j.ijindorg.2004.08.001
   Berhanu W, 2015, SUSTAINABILITY-BASEL, V7, P6353, DOI 10.3390/su7066353
   Birhane G.H., 2015, Int J Adv Remote Sens GIS, V4, P1385, DOI DOI 10.23953/CLOUD.IJARSG.125
   Bishaw B., 2013, Farmers Strategies for Adapting to and Mitigating Climate Variability and Change through Agroforestry in Ethiopia and Kenya
   Bongomin GOC, 2017, COGENT BUS MANAG, V4, DOI 10.1080/23311975.2017.1302866
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Central Statistical Agency (CSA), 2022, POP SIZ SEX REG ZON
   Central Statistics Agency (CSA), 2021, AGR SAMPL SURV REP A, V5
   Collins M., 2013, CHANGE 2013 PHYS SCI, VVolume 9781107057, P1029, DOI [10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324, 10.1017/cbo9781107415324.024]
   Culhane F, 2019, SCI TOTAL ENVIRON, V660, P611, DOI 10.1016/j.scitotenv.2018.12.346
   Danso-Abbeam G., 2021, Agric. Food Secur, V10, P1, DOI DOI 10.1186/S40066-021-00319-4
   Danso-Abbeam G, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e07162
   Dasmani I, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1751531
   DAVIES S, 1993, IDS BULL-I DEV STUD, V24, P60, DOI 10.1111/j.1759-5436.1993.mp24004007.x
   de Souza PC, 2015, J MICROBIOL METH, V118, P182, DOI 10.1016/j.mimet.2015.10.004
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Destaw F, 2021, JAMBA-J DISASTER RIS, V13, DOI 10.4102/jamba.v13i1.974
   Diro S., 2021, E AFRICAN SCH J EC B, V4, P1
   Edmonds DA, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18531-4
   Epstein K, 2017, CASE STUD ENVIRON, V1, DOI 10.1525/cse.2017.000612
   Fagariba CJ, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051484
   FDRE, 2019, NAT AD PLAN FED DEM
   Food and Agriculture Organization (FAO), 2005, FAO AGR SERIES, V36
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gebreegziabher D.D., 2021, CLIM RISK MANAG, V31, P974
   Gebru GW, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04356
   Geweke J, 2003, ECONOMETRICA, V71, P1215, DOI 10.1111/1468-0262.00444
   Guteta D, 2016, J ENVIRON PLANN MAN, V59, P1795, DOI 10.1080/09640568.2015.1090960
   Gyimah Amma Birago Kantanka, 2020, Atmospheric and Climate Sciences, V10, P614, DOI 10.4236/acs.2020.104032
   Hajivassiliou V, 1996, J ECONOMETRICS, V72, P85, DOI 10.1016/0304-4076(94)01716-6
   IFPRI, 2022, Global Food Policy Report: Climate Change and Food System [Report]
   Kanshie T.K., 2002, AGRIS ONLINE PAPERS
   Kassie B., 2021, AGR EC, V52, P101
   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
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kura AL, 2013, DYNAMICS INDIGENOUS
   Leish K., 1995, SURVEY SAMPLING, VVolume 3014, P1963, DOI [10.1017/S0003055400132113, DOI 10.1017/S0003055400132113]
   Lin CTJ, 2005, FOOD QUAL PREFER, V16, P401, DOI 10.1016/j.foodqual.2004.07.001
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Matewos T, 2019, CLIMATE, V7, DOI 10.3390/cli7050070
   Mesele Negash Mesele Negash, 2007, Forests, Trees and Livelihoods, V17, P157
   Miheretu BA, 2017, ECOL PROCESS, V6, DOI 10.1186/s13717-017-0085-5
   Mihiretu A, 2019, COGENT ENVIRON SCI, V5, DOI 10.1080/23311843.2019.1636548
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Mutunga E.J., 2020, INT J ENV AGR BIOTEC, V5, P1596, DOI [10.22161/ijeab.56.25, DOI 10.22161/IJEAB.56.25]
   Negash M, 2012, AGROFOREST SYST, V85, P9, DOI 10.1007/s10457-011-9408-1
   Nguyen TH, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137346
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Omerkhil N, 2020, ECOL INDIC, V110, DOI 10.1016/j.ecolind.2019.105863
   Onyeneke RU, 2021, RENEW AGR FOOD SYST, V36, P54, DOI 10.1017/S1742170519000486
   Osman MAA, 2021, AGRONOMY-BASEL, V11, DOI 10.3390/agronomy11091680
   Shukla P.R., 2019, TECHNICAL SUMMARY CL
   Simane B, 2016, MITIG ADAPT STRAT GL, V21, P39, DOI 10.1007/s11027-014-9568-1
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Tadesse T, 2020, COGENT FOOD AGR, V6, DOI 10.1080/23311932.2020.1741982
   Tam BY, 2014, SOCIETIES, V4, P463, DOI 10.3390/soc4030463
   Tazeze A., 2012, J EC SUSTAIN DEV, V3, P14
   Teklewold H, 2019, CLIM DEV, V11, P180, DOI 10.1080/17565529.2018.1442801
   Teshome H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179622
   Ho TT, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050099
   Tubiello FN, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac018e
   Wondim A, 2018, J EARTH SCI CLIMATIC, V09, DOI [10.4172/2157-7617.1000470, DOI 10.4172/2157-7617.1000470]
   World Food Programme (WFP), 2022, GLOB OP RESP PLAN 20
   Wossen T, 2015, AGR ECON-BLACKWELL, V46, P81, DOI 10.1111/agec.12142
   Wu JJ, 1998, AM J AGR ECON, V80, P494, DOI 10.2307/1244552
   Yang MJ, 2020, SCI TOTAL ENVIRON, V723, DOI 10.1016/j.scitotenv.2020.137893
   Yu L., 2008, TESTING COMPLEMENTAR
   Zakaria A, 2020, EARTH SYST ENVIRON, V4, P257, DOI 10.1007/s41748-020-00146-w
   Zeray N, 2017, PASTORALISM, V7, DOI 10.1186/s13570-017-0079-z
   ,, 2015, World fertilizer trends and outlook to 2018
NR 90
TC 4
Z9 4
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 JUN 2
PY 2023
VL 15
IS 11
AR 8997
DI 10.3390/su15118997
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 I9DV5
UT WOS:001005722700001
OA gold
DA 2025-01-10
ER

PT J
AU Fernandez, E
   Mojahid, H
   Fadon, E
   Rodrigo, J
   Ruiz, D
   Egea, JA
   Ben Mimoun, M
   Kodad, O
   El Yaacoubi, A
   Ghrab, M
   Egea, J
   Benmoussa, H
   Borgini, N
   Elloumi, O
   Luedeling, E
AF Fernandez, Eduardo
   Mojahid, Hajar
   Fadon, Erica
   Rodrigo, Javier
   Ruiz, David A.
   Egea, Jose
   Ben Mimoun, Mehdi
   Kodad, Ossama
   El Yaacoubi, Adnane
   Ghrab, Mohamed
   Egea, Jose
   Benmoussa, Haifa
   Borgini, Nadia
   Elloumi, Olfa
   Luedeling, Eike
TI Climate change impacts on winter chill in Mediterranean temperate fruit
   orchards
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Chill requirements; Climate change; Tree dormancy; Warm winters; Chill
   maps; Future scenarios; Temperate fruit trees
ID HEAT REQUIREMENTS; DORMANCY BREAKING; DYNAMIC-MODEL; BUD DORMANCY;
   TREES; PHENOLOGY; APRICOT; ENDODORMANCY; CULTIVARS; IDENTIFICATION
AB Temperate trees require low temperatures during winter and subsequent warm conditions in early spring to flower and eventually bear fruit. Many parts of the Mediterranean region feature winters with low and sometimes marginal chill accumulation. To assess historic and future agroclimatic conditions for cultivating temperate trees (including almonds, pistachios, apricots, sweet cherries and apples), we mapped winter chill throughout this important growing region. We used on-site weather records (1974-2020) to calibrate a weather generator and produced data for historic and future scenarios. To broaden our analysis, we spatially interpolated chill for the whole Mediterranean basin. We supplemented our simulation outcomes by collecting expert knowledge (from farmers and researchers) regarding observed climate change impacts on temperate orchards as well as future risks and concerns generated by climate change. Results showed that northern African growing regions have experienced major chill losses, a likely cause of the irregular and delayed bloom highlighted by experts. The same regions, together with southern Europe, may lose up to 30 Chill Portions by 2050 under a moderate warming scenario. For the future, experts foresee increasing risk of spring frost in early-blooming cultivars, exacerbated bloom-related problems and increasing occurrence of heat waves. Our results provide evidence of likely climate change impacts on temperate orchards. Expert knowledge proved instrumental in interpreting the simulation results as well as in orienting climate change adaptation strategies. The results we present are useful for farmers and orchard managers planning new plantings, as well as for researchers and policy makers developing strategies to adapt fruit orchards to the impacts of climate change.
C1 [Fernandez, Eduardo; Mojahid, Hajar; Luedeling, Eike] Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Dept Hort Sci, D-53121 Bonn, Germany.
   [Fernandez, Eduardo] Pontificia Univ Catolica Valparaiso, Escuela Agron, Casilla 4-D, Quillota, Chile.
   [Fadon, Erica; Rodrigo, Javier] Ctr Invest & Tecnol Agroalimentaria Aragon CITA, Dept Plant Sci, Avda Montanana 930, Zaragoza 50059, Spain.
   [Fadon, Erica; Rodrigo, Javier] CITA Univ Zaragoza, Inst Agroalimentario Aragon IA2, Calle Miguel Servet 177, Zaragoza 50013, Spain.
   [Ruiz, David A.; Egea, Jose; Egea, Jose] CEBAS CSIC, Fruit Breeding Grp, Dept Plant Breeding, POB 164, Murcia 30100, Spain.
   [Ben Mimoun, Mehdi; Benmoussa, Haifa; Borgini, Nadia] Univ Carthage, Inst Natl Agron Tunisie INAT, Lab GREEN TEAM LR17AGR01, 43 Ave Charles Nicolle, Tunis 1082, Tunisia.
   [Kodad, Ossama] Natl Sch Agr Meknes ENAM, Dept Arboriculture & Viticulture, PB S-40, Meknes 50000, Morocco.
   [El Yaacoubi, Adnane] Univ Sultan Moulay Slimane, Higher Sch Technol Khenifra, PB 170, Khenifra, Morocco.
   [Ghrab, Mohamed; Elloumi, Olfa] Univ Sfax, Olive Inst, LR16IO01 & LR16IO02,BP 1087, Sfax 3000, Tunisia.
   [Benmoussa, Haifa] Univ Carthage, Higher Sch Agr Mograne, Dept Agr Prod, Zaghouan, Tunisia.
C3 University of Bonn; Pontificia Universidad Catolica de Valparaiso;
   Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Centro de
   Edafologia y Biologia Aplicada del Segura (CEBAS); Universite de
   Carthage; Sultan Moulay Slimane University of Beni Mellal; Institut de
   l'Olivier; Universite de Sfax; Universite de Carthage
RP Fernandez, E (corresponding author), Univ Bonn, Inst Crop Sci & Resource Conservat INRES, Dept Hort Sci, D-53121 Bonn, Germany.; Fernandez, E (corresponding author), Pontificia Univ Catolica Valparaiso, Escuela Agron, Casilla 4-D, Quillota, Chile.
EM eduardo.fernandez.c@pucv.cl
RI Mimoun, Mehdi/AAI-9156-2020; Fernandez, Eduardo/V-3324-2019; Yaacoubi,
   Adnane/U-5291-2019; Elloumi, Olfa/AAJ-9303-2020; Fadón,
   Erica/AAH-3968-2021; Egea, Jose A./K-3433-2013; Benmoussa,
   Haifa/U-9213-2017; Rodrigo, Javier/H-6383-2011
OI Fernandez, Eduardo/0000-0002-6949-9685; Egea, Jose
   A./0000-0002-7821-1604; Benmoussa, Haifa/0000-0003-4071-5564; Ben
   Mimoun, Mehdi/0000-0002-3379-8229; Fadon, Erica/0000-0002-1170-0681; EL
   YAACOUBI, Adnane/0000-0003-2076-1563; Elloumi, Olfa/0000-0001-6312-2783;
   Rodrigo, Javier/0000-0002-8321-1764; Ghrab, Mohamed/0000-0002-6429-6758
FU Projekt DEAL; European Union within AdaMedOr project of the German
   Federal Ministry of Education and Research [01DH20012]; NextGeneration
   EU/PRTR [PCI2020-111966, PID2020-115473RR-I00, PCI2020-112113]
FX Open Access funding was 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). We also thank national donors from
   the partner countries: the Spanish Ministry of Science and Innovation
   (Agencia Estatal de Investigacion 10.13039/501100011033) and
   NextGeneration EU/PRTR (grants PCI2020-111966 and PID2020-115473RR-I00
   in the case of CITA; grant PCI2020-112113 in the case of CEBAS); the
   Ministere de l'Education Nationale, de la Formation Professionnelle, de
   l'Enseignement Superieur et de la Recherche Scientifique, Departement de
   l'Enseignement Superieur et de la Recherche Scientifique
   (MENF-PESRS/DESRS-Maroc) in the case of Morocco; and the Tunisian
   Ministry of Higher Education and Scientific Research in the case of
   Tunisia.
CR Almorox J, 2005, ENERG CONVERS MANAGE, V46, P1465, DOI 10.1016/j.enconman.2004.07.007
   Bartolini S, 2019, SCI HORTIC-AMSTERDAM, V244, P399, DOI 10.1016/j.scienta.2018.09.070
   Benmoussa H, 2020, CLIMATIC CHANGE, V162, P1249, DOI 10.1007/s10584-020-02774-7
   Benmoussa H, 2018, INT J BIOMETEOROL, V62, P2245, DOI 10.1007/s00484-018-1628-x
   Benmoussa H, 2017, ENVIRON EXP BOT, V140, P76, DOI 10.1016/j.envexpbot.2017.05.007
   Benmoussa H, 2017, AGR FOREST METEOROL, V239, P34, DOI 10.1016/j.agrformet.2017.02.030
   Buerkert A, 2020, CLIMATIC CHANGE, V162, P1399, DOI 10.1007/s10584-020-02862-8
   Campoy JA, 2011, SCI HORTIC-AMSTERDAM, V130, P357, DOI 10.1016/j.scienta.2011.07.011
   Campoy JA, 2010, SCI HORTIC-AMSTERDAM, V125, P203, DOI 10.1016/j.scienta.2010.03.029
   Campoy JA, 2019, INT J BIOMETEOROL, V63, P183, DOI 10.1007/s00484-018-1649-5
   Cherif S., 2020, Climate and Environmental Change in the Mediterranean Basin Current Situation and Risks for the Future. First Mediterranean Assessment Report, P59, DOI 10.5281/zenodo.7100601
   Chmielewski FM, 2018, INT J BIOMETEOROL, V62, P217, DOI 10.1007/s00484-017-1443-9
   Chuine I, 2016, GLOBAL CHANGE BIOL, V22, P3444, DOI 10.1111/gcb.13383
   Cordano E., 2019, RMAWGEN R MULTISITE
   Cordano E, 2016, ITAL J AGROMETEOROL, V21, P31, DOI 10.19199/2016.3.2038-5625.031
   Darbyshire R, 2017, AGR FOREST METEOROL, V240, P67, DOI 10.1016/j.agrformet.2017.03.021
   Darbyshire R, 2011, AGR FOREST METEOROL, V151, P1074, DOI 10.1016/j.agrformet.2011.03.010
   del Barrio R, 2021, INT J CLIMATOL, V41, P726, DOI 10.1002/joc.6649
   Delgado A, 2021, EUR J AGRON, V130, DOI 10.1016/j.eja.2021.126374
   Delgado A, 2021, SCI HORTIC-AMSTERDAM, V283, DOI 10.1016/j.scienta.2021.110093
   Do H, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00624-5
   Egea JA, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.842628
   Egea JA, 2021, TREE PHYSIOL, V41, P644, DOI 10.1093/treephys/tpaa054
   El Yaacoubi A, 2014, SCI HORTIC-AMSTERDAM, V180, P243, DOI 10.1016/j.scienta.2014.10.041
   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, 2021, AGR FOREST METEOROL, V307, DOI 10.1016/j.agrformet.2021.108486
   Fadón E, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10020241
   FAO, 2021, FAOSTAT STAT DAT
   Faust M, 1997, HORTSCIENCE, V32, P623, DOI 10.21273/HORTSCI.32.4.623
   Fernandez E, 2021, CLIMATIC CHANGE, V169, DOI 10.1007/s10584-021-03276-w
   Fernandez E, 2021, AGR FOREST METEOROL, V310, DOI 10.1016/j.agrformet.2021.108652
   Fernandez E, 2020, EUR J AGRON, V119, DOI 10.1016/j.eja.2020.126103
   Fernandez E, 2020, CLIMATIC CHANGE, V159, P423, DOI 10.1007/s10584-019-02608-1
   Fernandez E, 2019, TREES-STRUCT FUNCT, V33, P1187, DOI 10.1007/s00468-019-01855-0
   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
   Fraga H, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.689121
   Gardner RAW, 2013, SOUTH FORESTS, V75, P199, DOI 10.2989/20702620.2013.858209
   Girvetz EH, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008320
   GSOD, 2022, Global surface summary of the day
   Guillamon JG, 2022, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.812621
   Guo L, 2015, SCI HORTIC-AMSTERDAM, V195, P138, DOI 10.1016/j.scienta.2015.09.006
   Harrington CA, 2010, FOREST ECOL MANAG, V259, P798, DOI 10.1016/j.foreco.2009.06.018
   Kozai N, 2004, J HORTIC SCI BIOTECH, V79, P533, DOI 10.1080/14620316.2004.11511801
   LANG GA, 1987, HORTSCIENCE, V22, P371
   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
   Lopez G, 2007, J HORTIC SCI BIOTECH, V82, P140, DOI 10.1080/14620316.2007.11512211
   Lopez G, 2006, TREE PHYSIOL, V26, P469, DOI 10.1093/treephys/26.4.469
   Luedeling E., 2021, chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees
   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, 2013, INT J BIOMETEOROL, V57, P679, DOI 10.1007/s00484-012-0594-y
   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, GLOBAL CHANGE BIOL, V17, P228, DOI 10.1111/j.1365-2486.2010.02227.x
   Luedeling E, 2009, AGR FOREST METEOROL, V149, P1854, DOI 10.1016/j.agrformet.2009.06.013
   Luedeling E, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006166
   Luedeling E, 2009, AGR ECOSYST ENVIRON, V133, P23, DOI 10.1016/j.agee.2009.04.016
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Midgley SJE, 2011, ACTA HORTIC, V903, P1127, DOI 10.17660/ActaHortic.2011.903.157
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   ODEPA, 2017, CHIL AGR OV
   Pérez FJ, 2005, J PLANT PHYSIOL, V162, P301, DOI 10.1016/j.jplph.2004.07.011
   Pope KS, 2014, AGR FOREST METEOROL, V198, P15, DOI 10.1016/j.agrformet.2014.07.009
   POWER, 2021, POWER PROJ
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rahemi M, 2004, J HORTIC SCI BIOTECH, V79, P823, DOI 10.1080/14620316.2004.11511849
   Rodrigo J, 2002, SCI HORTIC-AMSTERDAM, V92, P125, DOI 10.1016/S0304-4238(01)00289-8
   Rodríguez A, 2021, AGR SYST, V186, DOI 10.1016/j.agsy.2020.102961
   Rodríguez A, 2019, NAT HAZARD EARTH SYS, V19, P1087, DOI 10.5194/nhess-19-1087-2019
   Rojas G, 2021, AGR SYST, V187, DOI 10.1016/j.agsy.2020.103031
   Ruett M, 2020, J CLEAN PROD, V271, DOI 10.1016/j.jclepro.2020.122653
   Ruiz D, 2007, ENVIRON EXP BOT, V61, P254, DOI 10.1016/j.envexpbot.2007.06.008
   Ruiz D, 2018, SCI HORTIC-AMSTERDAM, V242, P164, DOI 10.1016/j.scienta.2018.07.014
   [Seyboth Kristin. IPCC IPCC], 2014, CLIMATE CHANGE 2014
   Sherman WB, 2003, ACTA HORTIC, P411, DOI 10.17660/ActaHortic.2003.622.43
   Sparks A., 2018, OPEN SOURCE SOFTW, V3, P1035, DOI [10.21105/joss.01035, DOI 10.21105/JOSS.01035]
   Tennekes M, 2018, J STAT SOFTW, V84, P1, DOI 10.18637/jss.v084.i06
   Vitasse Y, 2018, AGR FOREST METEOROL, V248, P60, DOI 10.1016/j.agrformet.2017.09.005
   Wilks DS, 1999, PROG PHYS GEOG, V23, P329, DOI 10.1177/030913339902300302
   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 85
TC 20
Z9 20
U1 11
U2 77
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 MAR
PY 2023
VL 23
IS 1
AR 7
DI 10.1007/s10113-022-02006-x
PG 18
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 7V3LT
UT WOS:000912719900001
OA Green Published, Green Submitted, hybrid
DA 2025-01-10
ER

PT J
AU Li, XP
   Shi, XM
AF Li, Xueping
   Shi, Xingmin
TI Smallholders' resilience-building adaptation and its influencing factors
   in rainfed agricultural areas in China: based on random forest model
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Resilience-building adaptation; Smallholders; Random forest model;
   Rainfed agricultural areas; China
ID CLIMATE-CHANGE ADAPTATION; FARMERS; PERCEPTIONS; STRATEGIES;
   VULNERABILITY; MOROGORO
AB In recent years, extreme events and risks have increased under the background of global warming, which influenced agricultural production significantly. Adaptation has been considered as a key pathway to enhancing smallholders' climate resilience. We selected a total of 903 smallholders using the multi-stage random sampling technique in rainfed areas in China, and then collected the survey data through the structured questionnaire and focus group discussion. Three resilience-building adaptation indices (RBAS-A, RBAS-D and RBAS-I) were constructed by the entropy method, whose mean values were 0.378, 0.336, and 0.602, respectively. Furtherly, the random forest model was used to explore influencing factors of climate-resilient adaptation strategies. The results revealed that education level of household head, family size, farmland size, access to information by mass media and kith and kin, perception of temperature change in summer and winter, and perception of crop yield change were the significant factors influencing smallholders' alteration strategies. Meanwhile, age and education level of household heads, off-farm income, farmland size, mass media, and perception of winter temperature changes had significant effects on the diversification strategies. Moreover, demographic characteristics, socioeconomic characteristics, information access and climate change perceptions, and impacts had significant impacts on intensification strategies. Importantly, we found that there was a certain threshold for the impact of several factors on the constructed composite indices. And the impacts of the perceptions of temperature on alteration and intensification strategies showed a V-shape. Finally, we proposed targeted suggestions for improving smallholders' climate-resilient adaptation in the rainfed agricultural areas in China.
C1 [Li, Xueping; Shi, Xingmin] Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
C3 Shaanxi Normal University
RP Shi, XM (corresponding author), Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Peoples R China.
EM lixueping678@163.com; realsimon@163.com
RI Li, Xueping/KBD-1925-2024
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Ahmed Z, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105295
   Alvar-Beltrán J, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11080827
   Amfo B, 2021, AGR SYST, V191, DOI 10.1016/j.agsy.2021.103172
   [Anonymous], 2014, CLIMATE CHANGE, P2014
   Asare-Nuamah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02654
   Asfaw A, 2019, ENVIRON DEV SUSTAIN, V21, P2535, DOI 10.1007/s10668-018-0150-y
   Bahadur A., 2015, Resilience in the SDGs: developing an indicator for Target 1.5 that is fit for purpose
   Bai Q., 2019, J ARID METEOROLOGY, V37, P722, DOI [10.11755/j.issn.1006-7639(2019)-05-0722, DOI 10.11755/J.ISSN.1006-7639(2019)-05-0722]
   Ben Nasr J, 2021, ENVIRON SCI POLLUT R, V28, P46797, DOI 10.1007/s11356-021-13089-0
   Bohensky EL, 2013, NAT CLIM CHANGE, V3, P348, DOI [10.1038/NCLIMATE1762, 10.1038/nclimate1762]
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   [陈德亮 Chen Deliang], 2019, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V15, P167
   Clayton S, 2019, CURR BIOL, V29, pR992, DOI 10.1016/j.cub.2019.07.017
   Cullen AC, 2018, RISK ANAL, V38, P1361, DOI 10.1111/risa.12976
   Dong H., 2015, Social Survey and Statistics, P126
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001
   Friedman JH, 2001, ANN STAT, V29, P1189, DOI 10.1214/aos/1013203451
   Grömping U, 2009, AM STAT, V63, P308, DOI 10.1198/tast.2009.08199
   Guo X., 1998, Syst. Eng. Theory Pract, V12, P99, DOI DOI 10.1088/0256-307X/16/9/020
   [郭泽呈 Guo Zecheng], 2020, [地理学报, Acta Geographica Sinica], V75, P1948
   Hasibuan AM, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104252
   Hastie T., 2003, The elements of statistical learning: data mining, inference, and prediction, DOI DOI 10.1007/978-0-387-84858-7
   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
   Jiang T., 2014, CLIMATE CHANGE RES, V10, P157, DOI [10.3969/j.issn.1673-1719.2014.03.001, DOI 10.3969/J.ISSN.1673-1719.2014.03.001]
   Khan I, 2020, LAND USE POLICY, V91, DOI 10.1016/j.landusepol.2019.104395
   Li H, 2022, SCI TOTAL ENVIRON, V838, DOI 10.1016/j.scitotenv.2022.155962
   [李双双 Li Shuangshuang], 2020, [地理研究, Geographical Research], V39, P140
   Li XP, 2022, CLIM DEV, V14, P523, DOI 10.1080/17565529.2021.1949572
   Liu MX, 2021, SPAT STAT-NETH, V42, DOI 10.1016/j.spasta.2020.100461
   Mas Ernawati Hamdan Mas Ernawati Hamdan, 2014, Agricultural Journal, V9, P120
   Muench S, 2021, ENVIRON SCI POLICY, V116, P136, DOI 10.1016/j.envsci.2020.10.012
   Mutabazi KD, 2015, REG ENVIRON CHANGE, V15, P1259, DOI 10.1007/s10113-015-0800-7
   Paavola J, 2008, ENVIRON SCI POLICY, V11, P642, DOI 10.1016/j.envsci.2008.06.002
   Pagnani T, 2021, FOOD SECUR, V13, P419, DOI 10.1007/s12571-020-01110-2
   Poortvliet PM, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12124861
   Popoola OO, 2018, GEOJOURNAL, V83, P1205, DOI 10.1007/s10708-017-9829-0
   Qin YH, 2021, ENVIRON SCI POLLUT R, V28, P65832, DOI 10.1007/s11356-021-15547-1
   Sadiq MA, 2019, AGRICULTURE-BASEL, V9, DOI 10.3390/agriculture9050090
   Sani S., 2016, J RESOUR DEV MANAG, V26
   Sani S, 2016, J ENV EARTH SCI, V6
   Sarker MNI, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104574
   Shaffril HAM, 2020, ENVIRON SCI POLLUT R, V27, P25209, DOI 10.1007/s11356-020-08987-8
   Shi XM, 2019, SCI TOTAL ENVIRON, V697, DOI 10.1016/j.scitotenv.2019.134217
   [史兴民 Shi Xingmin], 2016, [水土保持通报, Bulletin of Soil and Water Conservation], V36, P258
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Soglo YY, 2019, CLIMATIC CHANGE, V155, P245, DOI 10.1007/s10584-019-02452-3
   Song Z, 2020, INT J DISAST RISK RE, V46, DOI 10.1016/j.ijdrr.2020.101620
   Speranza CI, 2013, REG ENVIRON CHANGE, V13, P521, DOI 10.1007/s10113-012-0391-5
   [粟晓玲 Su Xiaoling], 2022, [水资源保护, Water Resources Protection], V38, P34
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tabe-Ojong MP, 2020, J ENVIRON MANAGE, V270, DOI 10.1016/j.jenvman.2020.110809
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   [王露 Wang Lu], 2017, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V13, P61
   [王亚茹 Wang Yaru], 2016, [地理研究, Geographical Research], V35, P1273
   [吴绍洪 Wu Shaohong], 2020, [中国人口·资源与环境, China Population Resources and Environment], V30, P1
   Zhang CY, 2020, ENVIRON SCI POLLUT R, V27, P26484, DOI 10.1007/s11356-020-09048-w
   Zhao Xue-yan, 2014, Yingyong Shengtai Xuebao, V25, P2440
   [周曙东 Zhou Shudong], 2010, [中国人口·资源与环境, China Population·Resources and Environment], V20, P152
NR 64
TC 1
Z9 1
U1 4
U2 36
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 APR
PY 2023
VL 30
IS 17
BP 50593
EP 50609
DI 10.1007/s11356-023-25807-x
EA FEB 2023
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA Q0NZ6
UT WOS:000934659600002
PM 36800090
DA 2025-01-10
ER

PT J
AU Schuerch, M
   Mossman, HL
   Moore, HE
   Christie, E
   Kiesel, J
AF Schuerch, Mark
   Mossman, Hannah L.
   Moore, Harriet E.
   Christie, Elizabeth
   Kiesel, Joshua
TI Invited perspectives: Managed realignment as a solution to mitigate
   coastal flood risks - optimizing success through knowledge co-production
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID CLIMATE-CHANGE ADAPTATION; BRANCASTER WEST MARSH; STORM-SURGE;
   SALT-MARSH; PUBLIC PERCEPTIONS; WAVE ATTENUATION; FREISTON SHORE; NORTH
   NORFOLK; UK; RESTORATION
AB Nature-based solutions are increasingly suggested for mitigating coastal flood risks in the face of climate change. Managed realignment (MR), a coastal adaptation strategy that entails the landward realignment of coastal defences to restore coastal habitats (often salt marshes), plays a pivotal role in implementing nature-based solutions in the coastal zone. Across Europe, more than 130 sites have been implemented so far, often to harness their potential to mitigate coastal flood risks while restoring coastal habitats (ABPmer, 2021). However, local communities often oppose MR projects, not only because they are seen as returning hard-won land to the sea but also because their coastal protection function is less trusted than traditional hard engineering techniques. This scepticism has foundation. The proclaimed coastal protection function of MRs is based on a broad body of literature on the protective function of natural salt marshes. However, contrary to natural salt marshes, MRs are often semi-enclosed tidal basins with narrow breaches to the open sea/estuary. Recent studies indicate that MR-internal hydrodynamics may significantly reduce their coastal protection, depending on their engineering design. To successfully implement MR, a much-improved scientific knowledge base is needed, as well as a process for addressing community concerns and genuinely engaging stakeholders in decision-making beyond the usual obligatory consultancy approach. Here, we propose the co-production of scientific knowledge with local communities and stakeholders to optimize the success of coastal nature-based solutions and promote community acceptance.
C1 [Schuerch, Mark; Christie, Elizabeth] Univ Lincoln, Dept Geog, Lincoln LN6 7TS, England.
   [Mossman, Hannah L.] Manchester Metropolitan Univ, Dept Nat Sci, Manchester M15 6BH, Lancs, England.
   [Kiesel, Joshua] Christian Albrechts Univ Kiel, Dept Geog, D-24118 Kiel, Germany.
   [Christie, Elizabeth] Univ Cambridge, Dept Geog, Cambridge CB2 3EN, England.
C3 University of Lincoln; Manchester Metropolitan University; University of
   Kiel; University of Cambridge
RP Schuerch, M (corresponding author), Univ Lincoln, Dept Geog, Lincoln LN6 7TS, England.
EM mschuerch@lincoln.ac.uk
RI Schuerch, Mark/I-1021-2019
OI Schuerch, Mark/0000-0003-3505-3949; Mossman, Hannah
   Louise/0000-0001-5958-5320; Kiesel, Joshua/0009-0005-6832-5738
FU European Union [101037097]; German Bundesministerium fur Bildung und
   Forschung (BMBF) [03F0860H]
FX This research has been supported by the European Union's Horizon 2020
   research and innovation programme under grant agreement no. 101037097
   (REST-COAST project) and by the German Bundesministerium fur Bildung und
   Forschung (BMBF) under grant agreement no. 03F0860H (ECAS-BALTIC
   project).
CR ABPmer, OMREG DAT COMPL COAS
   Adnitt C., SALTMARSH RESTORATIO, P37
   Bergold J, 2012, HIST SOC RES, V37, P191
   Blunkell CT, 2017, LOCAL ENVIRON, V22, P492, DOI 10.1080/13549839.2016.1233525
   Burgess-Gamble L., 2017, Working with natural processes- evidence directory
   Burston J., 2018, DPID2510189 PLANN IN
   Chambers R., 1998, WHO CHANGES INSTITUT
   Chirol C, 2018, REMOTE SENS ENVIRON, V209, P291, DOI 10.1016/j.rse.2017.11.012
   Christie EK., 2018, Coastal Engineering Proceedings, V1, DOI DOI 10.9753/ICCE.V36.PAPERS.73
   Coleman DJ, 2022, LIMNOL OCEANOGR LETT, V7, P140, DOI 10.1002/lol2.10230
   Cornwall A, 2006, COMMONW COMP POLIT, V44, P62, DOI 10.1080/14662040600624460
   Cox TJS, 2006, ECOL ENG, V28, P55, DOI 10.1016/j.ecoleng.2006.04.001
   Dale J, 2021, ESTUAR COAST SHELF S, V260, DOI 10.1016/j.ecss.2021.107510
   Dale J, 2018, ANTHROPOCENE COASTS, V1, P16, DOI 10.1139/anc-2017-0005
   De Vriend HJ, 2011, WETLANDS, V31, P1033, DOI 10.1007/s13157-011-0239-7
   Doody JP, 2013, OCEAN COAST MANAGE, V79, P34, DOI 10.1016/j.ocecoaman.2012.05.008
   Esteves L. S., 2014, SPRINGER BRIEFS ENV
   Esteves LS, 2014, J COASTAL RES, P407, DOI 10.2112/SI70-069.1
   Fagherazzi S, 2009, J GEOPHYS RES-EARTH, V114, DOI 10.1029/2008JF001139
   Fairchild TP, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0c45
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Fischbach JR, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/ab4b25
   Foucault Michel, The Order of Things: An Archaeology of the Human Sciences
   Fox-Kemper B., 2021, Climate Change 2021: The Physical Science Basis, DOI DOI 10.1017/9781009157896.011.1212
   French JR, 2008, J COASTAL RES, V24, P1, DOI 10.2112/05-0534.1
   Gedan KB, 2009, ANNU REV MAR SCI, V1, P117, DOI 10.1146/annurev.marine.010908.163930
   Goeldner-Gianella L, 2007, J COASTAL RES, V23, P1218, DOI 10.2112/04-0416R.1
   Gourgue O, 2022, EARTH SURF DYNAM, V10, P531, DOI 10.5194/esurf-10-531-2022
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Hofstede JLA, 2019, J COAST CONSERV, V23, P1069, DOI 10.1007/s11852-019-00714-x
   Hood WG, 2015, ECOL ENG, V83, P319, DOI 10.1016/j.ecoleng.2015.07.002
   Huguet JR, 2018, COAST ENG, V134, P168, DOI 10.1016/j.coastaleng.2017.08.010
   Iwaniec DM, 2020, LANDSCAPE URBAN PLAN, V197, DOI 10.1016/j.landurbplan.2020.103744
   Kauffman GJ, 2015, WATER RESOUR MANAG, V29, P5689, DOI 10.1007/s11269-015-1141-5
   Kelly R., 2017, COMMUNITY ENGAGEMENT
   Kiesel J, 2022, ESTUAR COAST, V45, P345, DOI 10.1007/s12237-021-00984-5
   Kiesel J, 2020, ESTUAR COAST SHELF S, V242, DOI 10.1016/j.ecss.2020.106844
   Kiesel J, 2019, ECOL ENG, V136, P89, DOI 10.1016/j.ecoleng.2019.06.009
   Kirwan ML, 2016, NAT CLIM CHANGE, V6, P253, DOI 10.1038/NCLIMATE2909
   Leuven JRFW, 2019, NAT CLIM CHANGE, V9, P986, DOI 10.1038/s41558-019-0608-4
   Liski AH, 2019, REG ENVIRON CHANGE, V19, P2231, DOI 10.1007/s10113-019-01505-8
   Liu ZZ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00117-7
   Loder NM, 2009, ESTUAR COAST SHELF S, V84, P625, DOI 10.1016/j.ecss.2009.07.036
   Lotze HK, 2006, SCIENCE, V312, P1806, DOI 10.1126/science.1128035
   Luke A, 2018, NAT HAZARD EARTH SYS, V18, P1097, DOI 10.5194/nhess-18-1097-2018
   MacDonald MA, 2020, ESTUAR COAST SHELF S, V244, DOI 10.1016/j.ecss.2017.09.007
   McInnes RJ, 2022, ROU FOC ENVIRON SUST, P46, DOI 10.4324/9780367863098-4
   McKinley E, 2020, ESTUAR COAST SHELF S, V243, DOI 10.1016/j.ecss.2020.106840
   McKinley E, 2020, OCEAN COAST MANAGE, V187, DOI 10.1016/j.ocecoaman.2020.105117
   Mees H, 2018, ENVIRON SCI POLICY, V89, P330, DOI 10.1016/j.envsci.2018.08.011
   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
   Möller I, 2019, FRONT ENV SCI-SWITZ, V7, DOI 10.3389/fenvs.2019.00049
   Morris RKA, 2013, OCEAN COAST MANAGE, V73, P82, DOI 10.1016/j.ocecoaman.2012.12.013
   Mossman HL, 2012, J APPL ECOL, V49, P1446, DOI 10.1111/j.1365-2664.2012.02198.x
   Myatt LB, 2003, J COASTAL RES, V19, P278
   Myatt LB, 2003, OCEAN COAST MANAGE, V46, P565, DOI 10.1016/S0964-5691(03)00035-8
   Myatt-Bell LB, 2002, MAR POLICY, V26, P45, DOI 10.1016/S0308-597X(01)00033-1
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Nursey-Bray MJ, 2014, ENVIRON SCI POLICY, V38, P107, DOI 10.1016/j.envsci.2013.10.010
   Oliver S., 2021, LAND ABANDONED SEA M
   Oosterlee L, 2020, ESTUAR COAST SHELF S, V244, DOI 10.1016/j.ecss.2019.106428
   Owens S, 2004, J RISK RES, V7, P101, DOI 10.1080/1366987042000158686
   Pain R, 2003, AREA, V35, P46, DOI 10.1111/1475-4762.00109
   Paquier AE, 2017, ESTUAR COAST, V40, P930, DOI 10.1007/s12237-016-0190-1
   Parks P., 1992, The American Sociologist, V23, P29, DOI DOI 10.1007/BF02691929
   Pasquier U, 2020, ENVIRON SCI POLICY, V103, P50, DOI 10.1016/j.envsci.2019.10.016
   Pétillon J, 2010, WETLANDS, V30, P1097, DOI 10.1007/s13157-010-0115-x
   Pimbert M., 2004, PLA Notes - International Institute for Environment and Development, P131
   Pollard JA, 2019, PROG PHYS GEOG, V43, P574, DOI 10.1177/0309133318794498
   Pontee N, 2013, OCEAN COAST MANAGE, V84, P204, DOI 10.1016/j.ocecoaman.2013.07.010
   Pontee NI, 2015, P I CIVIL ENG-MAR EN, V168, P48, DOI 10.1680/maen.13.00016
   Reed D, 2018, ESTUAR COAST SHELF S, V213, P269, DOI 10.1016/j.ecss.2018.08.017
   Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001
   Resio DT, 2008, PHYS TODAY, V61, P33, DOI 10.1063/1.2982120
   Roca E, 2012, OCEAN COAST MANAGE, V60, P38, DOI 10.1016/j.ocecoaman.2012.01.002
   Rupp-Armstrong S, 2007, J COASTAL RES, V23, P1418, DOI 10.2112/04-0426.1
   Schernewski G, 2019, J COAST CONSERV, V23, P899, DOI 10.1007/s11852-017-0587-4
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   Shepard CC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0027374
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   Smolders S, 2015, NAT HAZARD EARTH SYS, V15, P1659, DOI 10.5194/nhess-15-1659-2015
   Spencer T, 2012, WETL ECOL MANAG, V20, P9, DOI 10.1007/s11273-011-9238-y
   Stark J, 2015, LIMNOL OCEANOGR, V60, P1371, DOI 10.1002/lno.10104
   Stark J, 2016, ESTUAR COAST SHELF S, V175, P34, DOI 10.1016/j.ecss.2016.03.027
   Temmerman S, 2015, SCIENCE, V349, P588, DOI 10.1126/science.aac8312
   Temmerman S, 2013, NATURE, V504, P79, DOI 10.1038/nature12859
   Tessler ZD, 2016, SUSTAIN SCI, V11, P525, DOI 10.1007/s11625-016-0357-5
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Townend I, 2002, PHILOS T R SOC A, V360, P1477, DOI 10.1098/rsta.2002.1011
   Vafeidis AT, 2019, NAT HAZARD EARTH SYS, V19, P973, DOI 10.5194/nhess-19-973-2019
   van Zelst VTM, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26887-4
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Wamsley TV, 2010, OCEAN ENG, V37, P59, DOI 10.1016/j.oceaneng.2009.07.018
   Wamsley TV, 2009, NAT HAZARDS, V51, P207, DOI 10.1007/s11069-009-9378-z
   Wolters M, 2005, BIOL CONSERV, V123, P249, DOI 10.1016/j.biocon.2004.11.013
   Yamashita, COASTAL WETLANDS RES, P2021
   Yamashita H., SALTMARSH RESTORATIO
   Yang SL, 2012, ESTUAR COAST, V35, P169, DOI 10.1007/s12237-011-9424-4
NR 99
TC 8
Z9 8
U1 3
U2 38
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PD SEP 1
PY 2022
VL 22
IS 9
BP 2879
EP 2890
DI 10.5194/nhess-22-2879-2022
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 4F8PU
UT WOS:000848773400001
OA Green Submitted, Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Stewart-Ibarra, AM
   Rollock, L
   Best, S
   Brown, T
   Diaz, AR
   Dunbar, W
   Lippi, CA
   Mahon, R
   Ryan, SJ
   Trotman, A
   Van Meerbeeck, CJ
   Lowe, R
AF Stewart-Ibarra, Anna M.
   Rollock, Leslie
   Best, Sabu
   Brown, Tia
   Diaz, Avriel R.
   Dunbar, Willy
   Lippi, Catherine A.
   Mahon, Roche
   Ryan, Sadie J.
   Trotman, Adrian
   Van Meerbeeck, Cedric J.
   Lowe, Rachel
TI Co-learning during the co-creation of a dengue early warning system for
   the health sector in Barbados
SO BMJ GLOBAL HEALTH
LA English
DT Article
DE health policies and all other topics; health systems; dengue;
   environmental health; prevention strategies
ID CLIMATE INFORMATION; KNOWLEDGE
AB Over the past decade, the Caribbean region has been challenged by compound climate and health hazards, including tropical storms, extreme heat and droughts and overlapping epidemics of mosquito-borne diseases, including dengue, chikungunya and Zika. Early warning systems (EWS) are a key climate change adaptation strategy for the health sector. An EWS can integrate climate information in forecasting models to predict the risk of disease outbreaks several weeks or months in advance. In this article, we share our experiences of co-learning during the process of co-creating a dengue EWS for the health sector in Barbados, and we discuss barriers to implementation as well as key opportunities. This process has involved bringing together health and climate practitioners with transdisciplinary researchers to jointly identify needs and priorities, assess available data, co-create an early warning tool, gather feedback via national and regional consultations and conduct trainings. Implementation is ongoing and our team continues to be committed to a long-term process of collaboration. Developing strong partnerships, particularly between the climate and health sectors in Barbados, has been a critical part of the research and development. In many countries, the national climate and health sectors have not worked together in a sustained or formal manner. This collaborative process has purposefully pushed us out of our comfort zone, challenging us to venture beyond our institutional and disciplinary silos. Through the co-creation of the EWS, we anticipate that the Barbados health system will be better able to mainstream climate information into decision-making processes using tailored tools, such as epidemic forecast reports, risk maps and climate-health bulletins, ultimately increasing the resilience of the health system.
C1 [Stewart-Ibarra, Anna M.] Interamer Inst Global Change Res, Montevideo, Uruguay.
   [Rollock, Leslie] Minist Hlth & Wellness, St Michael, Barbados.
   [Best, Sabu; Brown, Tia] Barbados Meteorol Serv, Christ Church, Barbados.
   [Diaz, Avriel R.] Columbia Univ, Int Res Inst Climate & Soc IRI, Climate Sch, New York, NY USA.
   [Dunbar, Willy] Florida Int Univ, Dept Hlth Promot & Dis Prevent, Miami, FL 33199 USA.
   [Lippi, Catherine A.; Ryan, Sadie J.] Univ Florida, Dept Geog & Emerging Pathogens Inst, Gainesville, FL USA.
   [Mahon, Roche; Trotman, Adrian; Van Meerbeeck, Cedric J.] Caribbean Inst Meteorol & Hydrol, Bridgetown, Parish Of Saint, Barbados.
   [Lowe, Rachel] London Sch Hyg & Trop Med, Ctr Climate Change & Planetary Hlth, London, England.
   [Lowe, Rachel] London Sch Hyg & Trop Med, Ctr Math Modelling Infect Dis, London, England.
   [Lowe, Rachel] Barcelona Supercomp Ctr, Earth Sci Dept, Barcelona, Spain.
   [Lowe, Rachel] Catalan Inst Res & Adv Studies ICREA, Barcelona, Spain.
C3 Columbia University; State University System of Florida; Florida
   International University; State University System of Florida; University
   of Florida; University of London; London School of Hygiene & Tropical
   Medicine; University of London; London School of Hygiene & Tropical
   Medicine; Universitat Politecnica de Catalunya; Barcelona Supercomputer
   Center (BSC-CNS); ICREA
RP Stewart-Ibarra, AM (corresponding author), Interamer Inst Global Change Res, Montevideo, Uruguay.
EM astewart@dir.iai.int
RI Diaz, Avriel/JXX-5773-2024; Lowe, Rachel/GXN-3278-2022; Ryan,
   Sadie/H-7488-2019; Van Meerbeeck, Cedric/D-1231-2010
OI Dunbar, Willy/0000-0002-9134-9288; Ryan, Sadie/0000-0002-4308-6321;
   Lippi, Catherine/0000-0002-7988-0324
CR [Anonymous], 2014, HLTH EX US INT PLATF
   Borbor MJ., 2016, CLIMATE SERVICES HLT, P106
   CARPHA/PAHO/CIMH, 2020, CAR HLTH CLIM B, V4
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Colón-González FJ, 2021, LANCET PLANET HEALTH, V5, pE404, DOI 10.1016/S2542-5196(21)00132-7
   Ebi KL, 2006, ENVIRON HEALTH PERSP, V114, P1957, DOI 10.1289/ehp.8429
   Foundation TR, LEARNING SUPPORT COP
   Gibbons M., 2001, The Potential of Transdisciplinarity
   Hewitt CD, 2017, NAT CLIM CHANGE, V7, P614, DOI 10.1038/nclimate3378
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Kotova L., 2017, LESSONS PRACTICE COD
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lippi CA, 2020, AM J TROP MED HYG, V103, P149, DOI 10.4269/ajtmh.19-0919
   Lowe R, 2020, PLOS BIOL, V18, DOI 10.1371/journal.pbio.3000791
   Lowe R, 2018, PLOS MED, V15, DOI 10.1371/journal.pmed.1002613
   MAHON R., 2018, Social and Economic Studies, P239
   Mahon R, 2019, CLIM SERV, V13, P14, DOI 10.1016/j.cliser.2019.01.002
   Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001
   Mordecai EA, 2017, PLOS NEGLECT TROP D, V11, DOI 10.1371/journal.pntd.0005568
   Norgaard R.B., 1989, ECOL ECON, V1, P37
   PAHO, 2020, ANN CAS REP DENG DAT
   Regeer BJ., 2009, TRANSDISCIPL APPROAC
   Robinson SA, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.653
   Rouhaud E., 2018, CO PRODUCING CLIMATE
   Ryan SJ, 2021, GLOBAL CHANGE BIOL, V27, P84, DOI 10.1111/gcb.15384
   Ryan SJ, 2020, CURR ENV HLTH REP, V7, P415, DOI 10.1007/s40572-020-00290-5
   Ryan SJ, 2020, MALARIA J, V19, DOI 10.1186/s12936-020-03224-6
   Ryan SJ, 2019, PLOS NEGLECT TROP D, V13, DOI 10.1371/journal.pntd.0007213
   Ryan SJ, 2018, AM J TROP MED HYG, V98, P1857, DOI 10.4269/ajtmh.17-0978
   Seelig F, 2020, PLOS NEGLECT TROP D, V14, DOI 10.1371/journal.pntd.0008606
   Stewart-Ibarra AM, 2019, PLOS NEGLECT TROP D, V13, DOI 10.1371/journal.pntd.0007772
   Trotman AR., 2018, B WORLD METEOROL ORG, V67
   Voinov A, 2016, ENVIRON MODELL SOFTW, V77, P196, DOI 10.1016/j.envsoft.2015.11.016
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Zeng ZL, 2021, ECLINICALMEDICINE, V32, DOI 10.1016/j.eclinm.2020.100712
NR 35
TC 2
Z9 2
U1 2
U2 19
PU BMJ PUBLISHING GROUP
PI LONDON
PA BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND
SN 2059-7908
J9 BMJ GLOB HEALTH
JI BMJ Glob. Health
PD JAN
PY 2022
VL 7
IS 1
AR e007842
DI 10.1136/bmjgh-2021-007842
PG 7
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA YD9LE
UT WOS:000740754000004
PM 34992079
OA gold, Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Zhang, B
   Wang, S
   Zhu, J
AF Zhang, B.
   Wang, S.
   Zhu, J.
TI A weighted ensemble of regional climate projections for exploring the
   spatiotemporal evolution of multidimensional drought risks in a changing
   climate
SO CLIMATE DYNAMICS
LA English
DT Article
DE Climate projection; Drought risk; Bayesian model averaging; Copula;
   China
ID FREQUENCY-ANALYSIS; CUMULUS PARAMETERIZATION; CHINA; IDENTIFICATION;
   PRECIPITATION; COPULAS; UNCERTAINTIES; SIMULATIONS; VARIABILITY; SCHEME
AB Understanding future drought risks plays a crucial role in developing climate change adaptation strategies and in enhancing disaster resilience. However, previous studies may lead to biased conclusions due to the neglect of two factors, including the relative performance of climate simulations and the uncertainty in drought characterization. In this study, Bayesian model averaging is used to merge five regional climate model simulations and to project future changes in hydroclimatic regimes over China under two representative emission scenarios (RCP4.5 and RCP8.5). Drought characteristics, including drought severity and duration, are extracted using the Standardized Precipitation Evapotranspiration Index (SPEI). A Bayesian copula approach is used to uncover underlying interactions of drought characteristics and associated uncertainties across 10 climate divisions of China. The regional return periods of drought characteristics are used to assess future changes in multidimensional drought risks and the probability of extreme droughts. Our findings reveal that the variations in drought characteristics are generally underestimated by the ensemble mean (AEM) simulation. The Bayesian framework improves the reliability and accuracy of hydroclimate simulations and better reproduces the drought regimes compared to the AEM simulation. The drought duration and severity are projected to substantially increase for most areas of China based on the Bayesian framework, but the AEM simulation may lead to multiple opposite behaviors, especially under RCP4.5. The estimated joint risk from drought duration and drought severity is expected to increase under both emission scenarios. The likelihood of extreme droughts is also projected to increase as the radiative forcing increases.
C1 [Zhang, B.; Wang, S.] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
   [Wang, S.] Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China.
   [Zhu, J.] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou, Peoples R China.
C3 Hong Kong Polytechnic University; Hong Kong Polytechnic University; Sun
   Yat Sen University
RP Wang, S (corresponding author), Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.; Wang, S (corresponding author), Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China.
EM shuo.s.wang@polyu.edu.hk
RI Zhang, Boen/GPK-7523-2022; Wang, Shuo/I-3017-2013
OI Wang, Shuo/0000-0001-7827-187X
FU National Natural Science Foundation of China [51809223]; Hong Kong
   Research Grants Council Early Career Scheme [PP5Z]
FX This research was supported by the National Natural Science Foundation
   of China (Grant No. 51809223) and the Hong Kong Research Grants Council
   Early Career Scheme (Grant No. PP5Z). The CRU dataset was provided by
   the Climate Research Unit at the University of East Anglia and is
   publicly available at
   https://catalogue.ceda.ac.uk/uuid/3f8944800cc48e1cbc29a5ee12d8542d.We
   acknowledge the World Climate Research Program's Working Group on
   Coupled Modeling, which is responsible for CORDEX, and we thank the
   climate modeling groups for producing and making their model outputs
   available at https://esg-dn1.nsc.liu.se/projects/cordex/.The PRECIS
   model outputs and other related data used in this paper are available in
   Zhang (2019), https://doi.org/10.17632/n8ckgdy2rr.1.The source code of
   the methodology is available from the corresponding author upon request.
   We would like to express our sincere gratitude to the editor and three
   anonymous reviewers for their constructive comments and suggestions.
CR Abul Basher M, 2020, INT J CLIMATOL, V40, P3232, DOI 10.1002/joc.6394
   AghaKouchak A, 2014, GEOPHYS RES LETT, V41, P8847, DOI 10.1002/2014GL062308
   Ahmadalipour A, 2018, CLIM DYNAM, V50, P717, DOI 10.1007/s00382-017-3639-4
   Al Samouly A, 2018, ENVIRON EARTH SCI, V77, DOI 10.1007/s12665-018-7701-2
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Ayantobo OO, 2018, J HYDROL, V559, P373, DOI 10.1016/j.jhydrol.2018.02.022
   Bao Y, 2013, ATMOS RES, V134, P35, DOI 10.1016/j.atmosres.2013.06.009
   Barriopedro D, 2012, J HYDROMETEOROL, V13, P1251, DOI 10.1175/JHM-D-11-074.1
   Borgomeo E, 2015, WATER RESOUR RES, V51, P8927, DOI 10.1002/2015WR017324
   Centella-Artola A, 2015, CLIM DYNAM, V44, P1901, DOI 10.1007/s00382-014-2272-8
   Chambers J.M., 1983, Graphical Methods for Data Analysis
   Chen H, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD032914
   Chen Y, 2020, J HYDROL, V590, DOI 10.1016/j.jhydrol.2020.125445
   Cook BI, 2016, J GEOPHYS RES-ATMOS, V121, P2060, DOI 10.1002/2015JD023929
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   De Michele C, 2013, WATER RESOUR RES, V49, P6985, DOI 10.1002/wrcr.20551
   Duan QY, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD013654
   Ganguli P, 2014, INT J CLIMATOL, V34, P911, DOI 10.1002/joc.3742
   Gelman A., 1992, Statistical Science, V7, P457, DOI DOI 10.1214/SS/1177011136
   Genest C, 2007, J HYDROL ENG, V12, P347, DOI 10.1061/(ASCE)1084-0699(2007)12:4(347)
   Giorgi F, 2012, CLIM RES, V52, P7, DOI 10.3354/cr01018
   GRINGORTEN II, 1963, J GEOPHYS RES, V68, P813, DOI 10.1029/JZ068i003p00813
   Gu HH, 2020, CLIM DYNAM, V54, P3781, DOI 10.1007/s00382-020-05205-6
   Gu HH, 2018, HYDROL EARTH SYST SC, V22, P3087, DOI 10.5194/hess-22-3087-2018
   Guo JH, 2019, CLIM DYNAM, V52, P6691, DOI 10.1007/s00382-018-4540-5
   Guo XY, 2017, INT J CLIMATOL, V37, P1117, DOI [10.1002/joc.4727, 10.1002/joc.5246]
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hao ZC, 2013, ADV WATER RESOUR, V57, P12, DOI 10.1016/j.advwatres.2013.03.009
   Harris I., 2014, International Journal of Climatology, V34, P623, DOI 10.1002/joc.3711
   Huang JL, 2018, CLIM DYNAM, V50, P507, DOI 10.1007/s00382-017-3623-z
   Kam J, 2014, J GEOPHYS RES-ATMOS, V119, P7348, DOI 10.1002/2014JD021453
   Laio F, 2007, HYDROL EARTH SYST SC, V11, P1267, DOI 10.5194/hess-11-1267-2007
   Lee MH, 2019, CLIM DYNAM, V53, P389, DOI 10.1007/s00382-018-4588-2
   Li XY, 2020, THEOR APPL CLIMATOL, V140, P571, DOI 10.1007/s00704-020-03098-3
   Liu XF, 2016, NAT HAZARDS, V80, P367, DOI 10.1007/s11069-015-1972-7
   Liu ZY, 2016, WATER RESOUR RES, V52, P6243, DOI 10.1002/2016WR019106
   Madadgar S, 2014, WATER RESOUR RES, V50, P9586, DOI 10.1002/2014WR015965
   Maity R, 2013, WATER RESOUR RES, V49, P4476, DOI 10.1002/wrcr.20346
   Masud MB, 2017, CLIM DYNAM, V48, P2685, DOI 10.1007/s00382-016-3232-2
   Masud MB, 2015, J HYDROL, V522, P452, DOI 10.1016/j.jhydrol.2014.12.058
   Miao LJ, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001337
   Niu XR, 2015, J GEOPHYS RES-ATMOS, V120, P9965, DOI 10.1002/2015JD023853
   Olson R, 2018, CLIM DYNAM, V50, P4171, DOI 10.1007/s00382-017-3867-7
   Olson R, 2016, GEOPHYS RES LETT, V43, P7661, DOI 10.1002/2016GL069704
   Parajka J, 2016, HYDROL EARTH SYST SC, V20, P2085, DOI 10.5194/hess-20-2085-2016
   Prudhomme C, 2014, P NATL ACAD SCI USA, V111, P3262, DOI 10.1073/pnas.1222473110
   Qing Y, 2020, CLIM DYNAM, V55, P2031, DOI 10.1007/s00382-020-05372-6
   Raftery AE, 2005, MON WEATHER REV, V133, P1155, DOI 10.1175/MWR2906.1
   Rajsekhar D, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1700581
   Rockel B, 2008, METEOROL Z, V17, P347, DOI 10.1127/0941-2948/2008/0309
   Russo S, 2013, J GEOPHYS RES-ATMOS, V118, P7628, DOI 10.1002/jgrd.50571
   Sadegh M, 2017, WATER RESOUR RES, V53, P5166, DOI 10.1002/2016WR020242
   Salvadori G, 2004, WATER RESOUR RES, V40, DOI 10.1029/2004WR003133
   Salvadori G, 2016, WATER RESOUR RES, V52, P3701, DOI 10.1002/2015WR017225
   Samaniego L, 2018, NAT CLIM CHANGE, V8, P421, DOI 10.1038/s41558-018-0138-5
   Seager R, 2015, J CLIMATE, V28, P6997, DOI 10.1175/JCLI-D-14-00860.1
   Shin J, 2019, CLIM DYNAM, V53, P6075, DOI 10.1007/s00382-019-04911-0
   Shrestha NK, 2020, J ENVIRON INFORM, V35, P56, DOI 10.3808/jei.201900407
   Sklar A, 1959, Fonctions De repartition a n dimensions et leurs marges, V8, P229, DOI DOI 10.1007/978-3-642-33590-7
   Spinoni J, 2020, J CLIMATE, V33, P3635, DOI 10.1175/JCLI-D-19-0084.1
   STEIN M, 1987, TECHNOMETRICS, V29, P143, DOI 10.2307/1269769
   Su BD, 2018, P NATL ACAD SCI USA, V115, P10600, DOI 10.1073/pnas.1802129115
   Terando A, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD017436
   Thyer M, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR006825
   TIEDTKE M, 1989, MON WEATHER REV, V117, P1779, DOI 10.1175/1520-0493(1989)117<1779:ACMFSF>2.0.CO;2
   van Huijgevoort MHJ, 2014, J HYDROL, V512, P421, DOI 10.1016/j.jhydrol.2014.02.060
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vidal JP, 2016, HYDROL EARTH SYST SC, V20, P3651, DOI 10.5194/hess-20-3651-2016
   Vrugt JA, 2016, ENVIRON MODELL SOFTW, V75, P273, DOI 10.1016/j.envsoft.2015.08.013
   Vrugt J, 2008, ENVIRON FLUID MECH, V8, P579, DOI 10.1007/s10652-008-9106-3
   Wang AH, 2011, J CLIMATE, V24, P3257, DOI [10.1175/2011JCLI3733.1, 10.1175/2011JCL13733.1]
   Wang CY, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17072459
   Wang S, 2019, CLIM DYNAM, V53, P1613, DOI 10.1007/s00382-019-04702-7
   Wang S, 2018, WATER RESOUR RES, V54, P2129, DOI 10.1002/2018WR022546
   Williams AP, 2015, GEOPHYS RES LETT, V42, P6819, DOI 10.1002/2015GL064924
   Wu Y, 2021, ATMOS RES, V249, DOI 10.1016/j.atmosres.2020.105303
   Xu K, 2015, J HYDROL, V527, P630, DOI 10.1016/j.jhydrol.2015.05.030
   Yan J, 2007, J STAT SOFTW, V21, P1
   Yang T, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015192
   Yu K, 2020, INT J CLIMATOL, V40, P2134, DOI 10.1002/joc.6323
   Zarch MAA, 2015, J HYDROL, V526, P183, DOI 10.1016/j.jhydrol.2014.09.071
   Zhai YY, 2019, CLIM DYNAM, V52, P3455, DOI 10.1007/s00382-018-4340-y
   Zhang B, 2019, J GEOPHYS RES-ATMOS, V124, P7460, DOI 10.1029/2019JD030686
   Zhang H, 2017, J HYDROMETEOROL, V18, P1549, DOI [10.1175/JHM-D-16-0157.1, 10.1175/jhm-d-16-0157.1]
   Zhang SB, 2015, J METEOROL RES-PRC, V29, P119, DOI 10.1007/s13351-014-4042-2
   Zhang XL, 2016, CLIM DYNAM, V46, P765, DOI 10.1007/s00382-015-2611-4
   Zhu J, 2019, J GEOPHYS RES-ATMOS, V124, P3800, DOI 10.1029/2018JD029444
   Zhu JX, 2021, GEOHEALTH, V5, DOI 10.1029/2020GH000313
   Zhu JX, 2018, CLIM DYNAM, V50, P4037, DOI 10.1007/s00382-017-3860-1
   Zou XK, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021853
NR 90
TC 8
Z9 8
U1 2
U2 50
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD JAN
PY 2022
VL 58
IS 1-2
BP 49
EP 68
DI 10.1007/s00382-021-05889-4
EA JUL 2021
PG 20
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA YP3AF
UT WOS:000675098500001
OA Green Accepted
DA 2025-01-10
ER

PT J
AU Zhao, Y
   Zhou, TJ
AF Zhao, Yin
   Zhou, Tianjun
TI Interannual Variability of Precipitation Recycle Ratio Over the Tibetan
   Plateau
SO JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
LA English
DT Article
DE ENSO; interannual variability; precipitation recycle ratio; Tibetan
   Plateau; water cycle
ID WESTERN NORTH PACIFIC; ATMOSPHERIC WATER TRANSPORT; INDIAN SUBCONTINENT;
   OCEAN CAPACITOR; MOISTURE SOURCE; EL-NINO; SUMMER; CLIMATE; ANOMALIES;
   RAINFALL
AB The water cycle over the Tibetan Plateau (TP) is vital to the regional and downstream climate and ecosystem. Clarifying the water cycle process and its interannual variability mechanism over the TP is important for the climate change adaptation activities. However, our current knowledge about the precipitation recycle ratio over the TP and its interannual variation remains inconclusive. Using the advanced reanalysis data ERA5 of the high resolution and a bulk model method, the water cycle over the TP is estimated in terms of the climatology and interannual variability. The climatic precipitation recycle ratio over the TP in summer is 23%. The reason for the contradictory conclusions between Curio et al. (2015, ) and other studies reviewed is analyzed and found to be related to the different definitions of the precipitation recycle ratio associated with the atmospheric water vapor mixture. The interannual variability of the precipitation recycle ratio over the TP in summer is significantly and negatively related with the Nino 3.4 index in the preceding winter. The precipitation recycle ratio decreases to 21.4% due to the more moisture inflow in the El Nino decaying summer. The change in the recycle ratio induced by the preceding El Nino events explains 60% of its interannual variability. The response of precipitation recycle ratio over the TP in summer to the preceding El Nino and La Nina events is asymmetric. Our study is conductive to reach the consensus on the climatic precipitation recycle ratio over the TP and advance our knowledge about its interannual variability mechanism.
C1 [Zhao, Yin; Zhou, Tianjun] Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China.
   [Zhao, Yin; Zhou, Tianjun] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Zhou, Tianjun] Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS; Chinese Academy of Sciences
RP Zhou, TJ (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China.; Zhou, TJ (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Zhou, TJ (corresponding author), Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China.
EM zhoutj@lasg.iap.ac.cn
RI zhao, yin/AAS-6645-2021; ZHOU, Tianjun/C-3195-2012
OI ZHOU, Tianjun/0000-0002-5829-7279; Zhao, Yin/0000-0002-3754-3725
FU Strategic Priority Research Program of the Chinese Academy of Sciences
   [XDA20060102]; National Natural Science Foundation of China [41988101,
   41775091]; Second Tibetan Plateau Scientific Expedition and Research
   (STEP) program [2019QZKK0102]
FX This work is supported by the Strategic Priority Research Program of the
   Chinese Academy of Sciences under Grant No. XDA20060102 and National
   Natural Science Foundation of China under Grant Nos. 41988101 and
   41775091, as well as the Second Tibetan Plateau Scientific Expedition
   and Research (STEP) program (Grant No. 2019QZKK0102).
CR BRUBAKER KL, 1993, J CLIMATE, V6, P1077, DOI 10.1175/1520-0442(1993)006<1077:EOCPR>2.0.CO;2
   Chen B, 2019, CLIM DYNAM, V53, P6891, DOI 10.1007/s00382-019-04963-2
   Chen B, 2012, THEOR APPL CLIMATOL, V110, P423, DOI 10.1007/s00704-012-0641-y
   Curio J, 2015, EARTH SYST DYNAM, V6, P109, DOI 10.5194/esd-6-109-2015
   Feng L, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD017012
   Gao YH, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/3/034013
   Gao YH, 2015, J CLIMATE, V28, P4185, DOI 10.1175/JCLI-D-14-00581.1
   Gao YH, 2014, J CLIMATE, V27, P1876, DOI 10.1175/JCLI-D-13-00321.1
   Gimeno L, 2012, REV GEOPHYS, V50, DOI 10.1029/2012RG000389
   Guo L, 2018, CLIM DYNAM, V12, P1
   Guo YP, 2014, J HYDROL, V517, P826, DOI 10.1016/j.jhydrol.2014.06.006
   Hersbach H., 2019, ERA5 monthly averaged data on single levels from 1979 to present
   Hua LJ, 2017, THEOR APPL CLIMATOL, V127, P513, DOI 10.1007/s00704-015-1645-1
   HUANG RH, 1992, J METEOROL SOC JPN, V70, P243, DOI 10.2151/jmsj1965.70.1B_243
   Huang WY, 2018, J GEOPHYS RES-ATMOS, V123, P12692, DOI 10.1029/2018JD028921
   Immerzeel WW, 2020, NATURE, V577, P364, DOI 10.1038/s41586-019-1822-y
   Immerzeel WW, 2010, SCIENCE, V328, P1382, DOI 10.1126/science.1183188
   Jiang XW, 2019, J CLIMATE, V32, P2227, DOI 10.1175/JCLI-D-18-0319.1
   Jiang XW, 2017, J CLIMATE, V30, P9607, DOI 10.1175/JCLI-D-16-0914.1
   Jiang XW, 2016, J CLIMATE, V29, P121, DOI 10.1175/JCLI-D-15-0181.1
   Kosaka Y, 2013, P NATL ACAD SCI USA, V110, P7574, DOI 10.1073/pnas.1215582110
   Kosaka Y, 2010, J CLIMATE, V23, P5085, DOI 10.1175/2010JCLI3413.1
   Li T, 2017, J METEOROL RES-PRC, V31, P987, DOI 10.1007/s13351-017-7147-6
   Li Y, 2019, J GEOPHYS RES-ATMOS, V124, P12864, DOI 10.1029/2019JD031297
   Lin CG, 2018, CLIM DYNAM, V51, P3195, DOI 10.1007/s00382-018-4074-x
   Lu RY, 2006, J METEOROL SOC JPN, V84, P447, DOI 10.2151/jmsj.84.447
   Mishra SK, 2020, FRONT ENV SCI-SWITZ, V8, DOI 10.3389/fenvs.2020.00026
   Mishra V, 2012, P NATL ACAD SCI USA, V109, P7213, DOI 10.1073/pnas.1119150109
   NITTA T, 1987, J METEOROL SOC JPN, V65, P373, DOI 10.2151/jmsj1965.65.3_373
   Pan C, 2019, CLIM DYNAM, V52, P181, DOI 10.1007/s00382-018-4130-6
   Sun B, 2014, J CLIMATE, V27, P2457, DOI 10.1175/JCLI-D-13-00517.1
   Tao WC, 2017, CLIM DYNAM, V49, P2007, DOI 10.1007/s00382-016-3432-9
   Trenberth KE, 1999, J CLIMATE, V12, P1368, DOI 10.1175/1520-0442(1999)012<1368:AMRROA>2.0.CO;2
   Wei JF, 2019, GEOPHYS RES LETT, V46, P12588, DOI 10.1029/2019GL085613
   Wu B, 2010, J CLIMATE, V23, P4807, DOI 10.1175/2010JCLI3222.1
   Wu B, 2009, J CLIMATE, V22, P2992, DOI 10.1175/2008JCLI2710.1
   Wu GX, 2015, NATL SCI REV, V2, P100, DOI 10.1093/nsr/nwu045
   Xie SP, 2016, ADV ATMOS SCI, V33, P411, DOI 10.1007/s00376-015-5192-6
   Xie SP, 2009, J CLIMATE, V22, P730, DOI 10.1175/2008JCLI2544.1
   Xu KP, 2020, THEOR APPL CLIMATOL, V140, P1031, DOI 10.1007/s00704-020-03142-2
   Xu X, 2014, ATMOS CHEM PHYS, V14, P11287, DOI 10.5194/acp-14-11287-2014
   Xu XD, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035867
   Xu Y, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10080428
   Yang JL, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028571
   Yang K, 2014, GLOBAL PLANET CHANGE, V112, P79, DOI 10.1016/j.gloplacha.2013.12.001
   Yang S, 2020, ATMOS RES, V236, DOI 10.1016/j.atmosres.2019.104803
   Yao JQ, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124823
   Yao TD, 2013, REV GEOPHYS, V51, DOI 10.1002/rog.20023
   Yao TD, 2012, NAT CLIM CHANGE, V2, P663, DOI [10.1038/nclimate1580, 10.1038/NCLIMATE1580]
   Zhang C, 2019, J HYDROMETEOROL, V20, P217, DOI 10.1175/JHM-D-18-0094.1
   Zhang C, 2017, J CLIMATE, V30, P1807, DOI [10.1175/JCLI-D-15-0842.1, 10.1175/jcli-d-15-0842.1]
   Zhang WX, 2017, J GEOPHYS RES-ATMOS, V122, P5808, DOI 10.1002/2017JD026468
NR 52
TC 50
Z9 54
U1 14
U2 133
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 JAN 27
PY 2021
VL 126
IS 2
AR e2020JD033733
DI 10.1029/2020JD033733
PG 17
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA QA8OV
UT WOS:000613703000015
OA hybrid
DA 2025-01-10
ER

PT J
AU Prabhakar, SVRK
   Tamura, K
   Okano, N
   Ikeda, M
AF Prabhakar, Sivapuram Venkata Rama Krishna
   Tamura, Kentaro
   Okano, Naoyuki
   Ikeda, Mariko
TI Strengthening External Emergency Assistance for Managing Extreme Events,
   Systemic, and Transboundary Risks in Asia
SO POLITICS AND GOVERNANCE
LA English
DT Article
DE climate change adaptation; climate security; disaster risk reduction;
   external emergency assistance; extreme events
AB External emergency assistance (EEA) provided in the aftermath of a disaster has costs and benefits to the donor and recipient countries. Donors benefit from quick recovery feedback effects from the trade and cultural links, and recipient countries have additional resources to manage the emergency. However, EEA costs could outweigh the benefits. Costs include dependency, low development of risk reduction capacity, and staff burdened with managing the assistance as opposed to managing the recovery. Current efforts to reduce dependency on EEA are not sufficient; they are based on limited past experiences with extreme events and are not based on the understanding of future risks. In this article, we present the concept of a climate fragility risk index showing factors that affect a country's predisposition to be fragile to climate change threats and we suggest that countries with a high climate fragility risk index tend to depend on EEA. Further, the article presents the concept of critical thresholds for extreme events as a metric to identify possible dependency on EEA. In addition, based on expert and policy consultations organized in the Philippines and Pakistan, we identify measures that can enhance the effectiveness of EEA including targeted EEA provision, better integration of lessons learned from the relief stage into the rest of the DRR operations, proper documentation of past assistance experiences and consideration of these lessons for the improvement of EEA in the future, as well as developing tools such as critical threshold concepts that can better guide the donor and recipient countries on more effective delivery of EEA.
C1 [Prabhakar, Sivapuram Venkata Rama Krishna; Okano, Naoyuki] Inst Global Environm Strategies, Adaptat & Water Grp, Hayama, Kanagawa, Japan.
   [Tamura, Kentaro; Ikeda, Mariko] Inst Global Environm Strategies, Climate & Energy Grp, Hayama, Kanagawa, Japan.
RP Prabhakar, SVRK (corresponding author), Inst Global Environm Strategies, Adaptat & Water Grp, Hayama, Kanagawa, Japan.
EM prabhakar@iges.or.jp; tamura@iges.or.jp; okano@iges.or.jp;
   marikoikeda1@gmail.com
RI Tamura, Kentaro/AAU-2354-2021
OI Sivapuram Venkata Rama, Krishna Prabhakar/0000-0003-4502-1545; Okano,
   Naoyuki/0000-0001-8810-5680
FU Environment Research and Technology Development Fund [2-1801, 2-2102];
   Strategic Research Fund (SRF) of the Institute for Global Environmental
   Strategies
FX Authors are grateful for the financial support received from the
   Environment Research and Technology Development Fund (2-1801),
   Environment Research and Technology Development Fund (2-2102), and
   Strategic Research Fund (SRF) of the Institute for Global Environmental
   Strategies.
CR American Security Project, 2012, CLIM SEC REP
   [Anonymous], 2015, MAPP CHOIC CARB CLIM
   [Anonymous], 2018, Global Report on Internal Displacement
   [Anonymous], 2018, FAOSTAT STAT DAT
   [Anonymous], 2017, Global Climate Risk Index
   Carto, 2019, CARTO
   Chen C., 2015, Country Index Technical Report
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   Germanwatch, 2021, GLOBAL CLIMATE RISK
   Hallegatte S., 2013, EXPLORATION DEV EC G
   Inuzuka T., 2008, P HYDR ENG, V52, P367
   Japan International Cooperation Agency, 2017, DIS REL JICA STRIV M
   Japan International Cooperation Agency, 2020, EM DIS REL
   Japan International Cooperation Agency, 2017, JICAS COOP DIS RISK
   JETRO, 2018, JETRO GLOB TRAD INV
   Kamata F., 2012, REFERENCE, V62, P5
   Kawakami I., 2014, REPORT LOCAL INTEGRA
   Kiba S., 2014, J INT COOPERATION ST, V22, P77
   Ministry of Foreign Affairs, 2011, HUM AID POL JAP
   Ministry of Foreign Affairs, 2006, EARTHQ DIS CENTR JAV
   Ministry of Foreign Affairs, 2017, WHIT PAP DEV COOP 20
   Ministry of Foreign Affairs, 2016, JAP RESP EB OUTBR W
   Ministry of Foreign Affairs, 2021, JAP CONTR UN PEAC OP
   Nakauchi Y., 2011, RIPPO TO CHOSA, V323, P3
   Noguchi N., 2018, HLTH EMERGENCY DISAS, V5, P40
   Prabhakar S., 2019, GLOBALIZATION LOCAL
   Prabhakar S., 2019, MAXIMIZING CLIMATE S
   Prabhakar S. V., 2017, Climate -fragility risks in Asia: The development nexus.
   Prabhakar S. V. R. K., 2021, Climate Change, Disaster Risks, and Human Security, P37
   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]
   Raschky PA, 2012, EUR J POLIT ECON, V28, P119, DOI 10.1016/j.ejpoleco.2011.07.001
   Ruttinger L., 2015, NEW CLIMATE PEACE TA
   Shimano T, 2016, J DISASTER RES, V11, P341, DOI 10.20965/jdr.2016.p0341
   Sivapuram VRKP, 2020, PROG DISASTER SCI, V8, DOI 10.1016/j.pdisas.2020.100125
   The World Bank, 2018, DAT WORLDW GOV IND
   Thérien JP, 2000, THIRD WORLD Q, V21, P21, DOI 10.1080/01436590013206
   UN Office for the Coordination of Humanitarian Affairs, 2021, HUM AID CONTR
   UNEP, 2003, GLOB RISK VULN IND P
   WRI, 2018, AQ COUNTR RIV BAS RA
NR 39
TC 2
Z9 2
U1 2
U2 6
PU COGITATIO PRESS
PI LISBON
PA RUA FIALHO ALMEIDA 14, 2 ESQ, LISBON, 1070-129, PORTUGAL
SN 2183-2463
J9 POLITICS GOV
JI Politics Gov.
PY 2021
VL 9
IS 4
BP 27
EP 42
DI 10.17645/pag.v9i4.4457
PG 16
WC Political Science
WE Social Science Citation Index (SSCI)
SC Government & Law
GA WN8PF
UT WOS:000712028400004
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Igoud, S
   Zeriri, D
   Aoudjit, L
   Boutra, B
   Sebti, A
   Khene, F
   Mameche, A
AF Igoud, S.
   Zeriri, D.
   Aoudjit, L.
   Boutra, B.
   Sebti, A.
   Khene, F.
   Mameche, A.
TI Climate change adaptation by solar wastewater treatment (SOWAT) for
   reuse in agriculture and industry<SUP>†</SUP>
SO IRRIGATION AND DRAINAGE
LA English
DT Article
DE continuous treatment; hybrid solar still; saline oily wastewater; SOWAT;
   sustainability; wastewaters
ID ZERO LIQUID DISCHARGE; SEWAGE; STILL; DECOLORIZATION; DISTILLATION;
   IRRIGATION
AB Access to drinking water and sanitation are among the goals adopted by the United Nations in its 2030 Agenda for Sustainable Development. However, in poor and low-income countries, this goal has not yet been reached. This is caused by several lacks in the technological mastery of water and wastewater treatment processes, fresh water and sanitation networks, and, finally, financial resources. Increasing the success chances to reach this goal should not happen by copying centralized water and sanitation systems used in high-income countries. Rather efforts need to be made towards energy-efficient decentralized water and wastewater treatment facilities, using simple and sustainable low-cost technologies.
   The present paper suggests solar wastewater treatment (SOWAT) as an easy decentralized and sustainable wastewater treatment. It combines three steps of conventional wastewater treatment (i.e., pretreatment, biological treatment, and disinfection) by using a single treatment step conducted in a single equipment: solar still. It is has been experimentally tested to treat saline, domestic, municipal, and industrial wastewaters. All obtained results have recorded significant removal of inorganic, organic, bacteriologic, and metallic pollution.
   For community and industrial use, a new design of a hybrid SOWAT micro-plant proposes the integration of a pretreatment stage and a smart multi-source heating system. It is decentralized because it is powered by solar energy, other renewable energies, recovered flared gas, or conventional energy. Its continuous operation during the decrease or absence of solar radiation, by night, is expected to increase its daily production from 255% to 1,500%.
C1 [Igoud, S.; Aoudjit, L.; Boutra, B.; Sebti, A.] Ctr Dev Energies Renouvelables CDER, Unite Dev Equipements Solaires UDES, Route Natl 11, Bou Ismail 42415, Tipasa, Algeria.
   [Zeriri, D.; Khene, F.; Mameche, A.] Sonatrach Act Explorat & Prod, Div Laboratoires, Boumerdes, Algeria.
C3 Universite de M'hammed Bougara Boumerdes
RP Igoud, S (corresponding author), Ctr Dev Energies Renouvelables CDER, Unite Dev Equipements Solaires UDES, Route Natl 11, Bou Ismail 42415, Tipasa, Algeria.
EM igoud.sadek@udes.dz
CR Adnan A., 2018, Fruit Juices, P217, DOI 1016/B978-0-12-802230-6.00012-6
   [Anonymous], 2009, OFFICIAL J PEOPLES D
   Arunkumar T, 2019, RENEW SUST ENERG REV, V101, P197, DOI 10.1016/j.rser.2018.11.013
   Asadi RZ, 2013, SOL ENERGY, V93, P63, DOI 10.1016/j.solener.2013.03.024
   Banat IM, 1996, BIORESOURCE TECHNOL, V58, P217, DOI 10.1016/S0960-8524(96)00113-7
   Cianfruglia, 2011, ABB REV, P33
   da Motta M, 2014, WATER SCI TECHNOL, V70, P1670, DOI 10.2166/wst.2014.428
   Hanson A, 2004, SOL ENERGY, V76, P635, DOI 10.1016/j.solener.2003.11.010
   Heins W, 2004, J CAN PETROL TECHNOL, V43, P37
   Igoud S, 2017, DISTILLATEUR HYBRIDE, Patent No. N 170258
   Igoud S, 2018, B ENERGIES RENOUVELA, V45, P2
   Igoud S, 2015, DESALIN WATER TREAT, V56, P2646, DOI 10.1080/19443994.2014.968909
   Jamaly S, 2015, J ENVIRON SCI-CHINA, V37, P15, DOI 10.1016/j.jes.2015.04.011
   Jasrotia S, 2013, J CLEAN PROD, V60, P102, DOI 10.1016/j.jclepro.2012.10.034
   Kabeel AE, 2015, RENEW SUST ENERG REV, V46, P178, DOI 10.1016/j.rser.2015.02.053
   Kadiresan K, 2018, IRRIG DRAIN, V67, P8, DOI 10.1002/ird.2219
   Li YF, 2017, IRRIG DRAIN, V66, P711, DOI 10.1002/ird.2132
   Martijn EJ, 2005, IRRIG DRAIN, V54, pS63, DOI 10.1002/ird.186
   Massoud MA, 2009, J ENVIRON MANAGE, V90, P652, DOI 10.1016/j.jenvman.2008.07.001
   Matsuoka K, 2006, SOIL SCI PLANT NUTR, V52, P519, DOI 10.1111/j.1747-0765.2006.00061.x
   Mikelonis A, 2010, J WATER MANAG MODELL, P363, DOI 10.14796/JWMM.R236-22
   Novotny C, 2006, CHEMOSPHERE, V63, P1436, DOI 10.1016/j.chemosphere.2005.10.002
   Odoemena KI, 2020, IRRIG DRAIN, V69, P149, DOI 10.1002/ird.2384
   Pandya AB, 2019, IRRIG DRAIN, V68, P123, DOI 10.1002/ird.2334
   Potoglou D, 2004, RENEW ENERG, V29, P569, DOI 10.1016/j.renene.2003.09.002
   QASIM SR, 1978, J ENVIRON SCI HEAL A, V13, P615, DOI 10.1080/10934527809374839
   Sathyamurthy R, 2017, RENEW SUST ENERG REV, V77, P1069, DOI 10.1016/j.rser.2016.11.223
   Sengil IA, 2009, J HAZARD MATER, V161, P1369, DOI 10.1016/j.jhazmat.2008.04.100
   Sharma A, 2019, J CLEAN PROD, V220, P23, DOI 10.1016/j.jclepro.2019.01.236
   SUEZ, 2016, ZER LIQ DISCH EL LIQ
   THOMAS DL, 1990, SOL ENERGY, V45, P101, DOI 10.1016/0038-092X(90)90034-A
   Tong TZ, 2016, ENVIRON SCI TECHNOL, V50, P6846, DOI 10.1021/acs.est.6b01000
   United Nations World Water Assessment Programme, 2017, WAST UNT RES FACTS F
   Urbaniec K, 2008, WOODHEAD PUBL FOOD S, P863, DOI 10.1533/9781845694678.6.863
   Velmurugan V, 2011, J RENEW SUSTAIN ENER, V3, DOI 10.1063/1.3558862
   Yu L, 2017, ARAB J CHEM, V10, pS1913, DOI 10.1016/j.arabjc.2013.07.020
NR 36
TC 11
Z9 11
U1 1
U2 21
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1531-0353
EI 1531-0361
J9 IRRIG DRAIN
JI Irrig. Drain.
PD APR
PY 2021
VL 70
IS 2
BP 243
EP 253
DI 10.1002/ird.2540
EA NOV 2020
PG 11
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Water Resources
GA RG8HC
UT WOS:000588442600001
DA 2025-01-10
ER

PT J
AU Walshe, RA
   Adamson, GCD
   Kelman, I
AF Walshe, Rory A.
   Adamson, George C. D.
   Kelman, Ilan
TI Helices of disaster memory: How forgetting and remembering influence
   tropical cyclone response in Mauritius
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Tropical cyclones; Mauritius; Memory; Disaster risk reduction;
   Vulnerability
ID CLIMATE-CHANGE; INDIAN-OCEAN; TRAJECTORIES; VARIABILITY; RESILIENCE;
   WEATHER; PLACE; BASIN; RISK
AB Tropical cyclones have had a considerable impact on Mauritius. Large cyclones are relatively rare, and in popular imagination are thought to hit Mauritius every 15 years. Yet it has been over 25 years since the last cyclone widely considered as 'significant'. Critically, there is little known about the role of memory in responses to cyclones and details regarding responses to past cyclones in Mauritian history are scant.
   This article examines past experiences and impacts of cyclones in Mauritius, as well as contemporary perceptions of cyclone vulnerability and memories of historical cyclones. The analysis draws on both community interviews and archival research conducted in Mauritius and takes a longue duree approach. This approach combines an examination of both event and process with historical discourses in an effort to uncover the longstanding and slowly changing relationships between people and extreme events.
   The results reveal a number of repetitive patterns of responses that act out over the long term and repeat for many of the largest cyclones, indicating that tropical cyclone impact and recovery in Mauritius is strongly conditioned by complex, cultural, and place based memory (and forgetting). While these patterns could be characterised as cycles, the research instead presents a concept of 'helices' as a new conceptualisation of long term disaster memory patterns. This research is part of a growing literature arguing for the need to account for the historical processes fundamental to understanding vulnerability. This has implications for disaster risk reduction (including climate change adaptation) in Mauritius, other small islands, and elsewhere.
C1 [Walshe, Rory A.] Univ Cambridge, Dept Geog, Cambridge, England.
   [Adamson, George C. D.] Kings Coll London, Dept Geog, London, England.
   [Kelman, Ilan] UCL, Inst Risk & Disaster Reduct, London, England.
   [Kelman, Ilan] UCL, Inst Global Hlth, London, England.
   [Kelman, Ilan] Univ Agder, Kristiansand, Norway.
C3 University of Cambridge; University of London; King's College London;
   University of London; University College London; University of London;
   University College London; University of Agder
RP Walshe, RA (corresponding author), Univ Cambridge, Dept Geog, Cambridge, England.
EM rw647@cam.ac.uk
OI Adamson, George/0000-0001-6660-696X; Kelman, Ilan/0000-0002-4191-6969
FU UK Natural Environment Research Council (NERC) [NE/L002485/1]
FX This research was conducted as part of a studentship funded by the UK
   Natural Environment Research Council (NERC) grant number NE/L002485/1.
CR Adamson GCD, 2018, GLOBAL ENVIRON CHANG, V48, P195, DOI 10.1016/j.gloenvcha.2017.12.003
   Adamson GCD, 2012, J HIST GEOGR, V38, P143, DOI 10.1016/j.jhg.2011.11.018
   [Anonymous], 1979, DISASTER ASSISTANCE
   [Anonymous], 2009, NATURAL DISASTERS CU
   [Anonymous], 1993, Natural Disasters
   Aviles B., 2015, LOURDES B AVILES ENV, V20, P563
   BALL N, 1979, DISASTERS, V3, P3, DOI 10.1111/j.1467-7717.1979.tb00188.x
   Bankoff G, 2007, HIST SOC RES, V32, P103
   Bankoff Greg., 2015, Cultures and Disasters, P1, DOI DOI 10.1192/BJP.112.483.211-A
   Bankoff Greg., 2004, INT J MASS EMERGENCI, V22, P23
   Barclay J, 2019, INT J DISAST RISK SC, V10, P149, DOI 10.1007/s13753-019-0215-z
   Birgermajer S, 2017, 2017 13TH INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES, SYSTEMS AND SERVICES IN TELECOMMUNICATIONS (TELSIKS), P154, DOI 10.1109/TELSKS.2017.8246252
   Blaikie P., 1994, RISK NATURAL PEOPLES
   Bosher L., 2005, DIVINE HIERARCHY SOC
   Cannon T., 2013, COMM BAS AD C 7 INT
   Chelin A., 1973, MAURICE SON PASSE, Vfirst
   Chenoweth M, 2006, CLIMATIC CHANGE, V76, P169, DOI 10.1007/s10584-005-9005-2
   Chenoweth M, 2014, J CLIMATE, V27, P8674, DOI 10.1175/JCLI-D-13-00771.1
   Daniel C., 1986, METEOROL SERV TRINID, P14
   DYNES RR, 1975, MASS EMERGENCIES, V1, P21
   Endfield GH, 2007, CLIMATIC CHANGE, V83, P9, DOI 10.1007/s10584-006-9125-3
   Endfield GH, 2012, P NATL ACAD SCI USA, V109, P3676, DOI 10.1073/pnas.1114831109
   Endfield Georgina H., 2017, Cultural Histories, Memories and Extreme Weather: A Historical Geography Perspective, P1
   Endfield GeorginaH., 2009, Natural Disasters, Cultural Responses: Case Studies toward a Global Environmental History
   Endfield GH, 2004, J HIST GEOGR, V30, P249, DOI 10.1016/S0305-7488(03)00023-9
   Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006
   Garcia-Acosta V., 2017, ROUTLEDGE HDB DISAST, P203
   Garcia-Acosta V, 2007, MEDIEV HIST J, V10, P127, DOI 10.1177/097194580701000205
   García-Hernández C, 2019, GEOGR RES-AUST, V57, P189, DOI 10.1111/1745-5871.12322
   Garde-Hansen J, 2017, MEM STUD, V10, P384, DOI 10.1177/1750698016667453
   Garnier E., 2013, AM J CLIM CHANGE
   Garnier E., 2013, AM J CLIM CHANGE, P1, DOI DOI 10.4236/ajcc.2013.21001
   Glantz M.H., 1988, ESSAY INTERACTIONS C
   Glantz MichaelH., 2003, Climate affairs: a primer
   Golinski Jan., 2007, BRIT WEATHER CLIMATE
   Hall A, 2016, WEATHER CLIM SOC, V8, P5, DOI 10.1175/WCAS-D-15-0028.1
   Hanief Z., 2018, TRAVEL
   Hazareesingh K., 1948, STORY 1945 CYCLONES
   Herlitz A, 1997, MEM COGNITION, V25, P801, DOI 10.3758/BF03211324
   Hewitt K., 1983, INTERPRETATIONS CALA
   Hewitt K., 2014, Regions of Risk, V0, DOI DOI 10.4324/9781315844206
   Hicks A., 2015, Journal of applied volcanology, V4, DOI [DOI 10.1186/S13617-015-0029-7, 10.1186/s13617-015-0029-7]
   Hill A., 1998, Journal of contingencies and Crises Management, V6, P162, DOI DOI 10.1111/1468-5973.00085
   Hoelscher S, 2004, SOC CULT GEOGR, V5, P347, DOI 10.1080/1464936042000252769
   Jones CA, 2012, CLIMATIC CHANGE, V113, P35, DOI 10.1007/s10584-012-0413-9
   Kruger F., 2015, Cultures and disasters: Understanding cultural framings in disaster risk reduction
   LEWIS J, 1988, NATURAL HAZARDS OBSE, V12
   Lewis J., 1999, DEV DISASTER PRONE P
   Lewis J., 2015, CULTURES DISASTERS, V1st, P109
   Lin N, 2016, NAT CLIM CHANGE, V6, P106, DOI [10.1038/NCLIMATE2777, 10.1038/nclimate2777]
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Mahony M, 2018, BRIT J HIST SCI, V51, P607, DOI 10.1017/S0007087418000766
   Manyena SB, 2012, DEV POLICY REV, V30, P327, DOI 10.1111/j.1467-7679.2012.00579.x
   McKinnon S, 2020, EMOT SPACE SOC, V35, DOI 10.1016/j.emospa.2020.100685
   McKinnon S, 2019, GEOGR RES-AUST, V57, P204, DOI 10.1111/1745-5871.12335
   Mock Cary, 2017, Cultural Histories, Memories and Extreme Weather, P78
   Mock CJ, 2008, GEOCHEM GEOPHY GEOSY, V9, DOI 10.1029/2007GC001846
   Mock CJ, 2004, HURRICANES AND TYPHOONS: PAST, PRESENT, AND FUTURE, P121
   Monteil C, 2020, INT J DISAST RISK SC, V11, P287, DOI 10.1007/s13753-020-00277-8
   Morgan R.A., 2017, CULTURAL HIST MEMORI, P34
   NDRRMC, 2015, NAT DIS SCH
   Nunn P. D., 2018, This underlies the recent launch of the Stories of Ancient Resilience initiative
   O'Brien G, 2010, DISASTER PREV MANAG, V19, P498, DOI 10.1108/09653561011070402
   OKEEFE P, 1976, NATURE, V260, P566, DOI 10.1038/260566a0
   Oliver-Smith A., 1999, ANGRY EARTH DISASTER, DOI [10.1108/dpm.2000.07309cad.004availableat, DOI 10.1108/DPM.2000.07309CAD.004]
   OliverSmith A, 1996, ANNU REV ANTHROPOL, V25, P303, DOI 10.1146/annurev.anthro.25.1.303
   Padya B.M., 1989, CLIMATE MAURITIUS
   Padya M., 1976, CYCLONES MAURITIUS
   Palutikof JP, 2004, CLIM RES, V26, P43, DOI 10.3354/cr026043
   Perry RW., 2005, WHAT IS DISASTER NEW
   Pescaroli G., 2015, Planet@Risk, V3, P58
   Pfister C., 2002, CLIMATIC CHANGE, V43, P55
   Pfister C, 2010, CLIMATIC CHANGE, V101, P281, DOI 10.1007/s10584-009-9784-y
   Pfister Christian, 2011, MONSTER SWALLOWS YOU, V1, P1
   Pridham Charles., 1849, HIST POLITICAL STAT
   Rohland E., 2018, CHANGES AIR HURRICAN, P263
   Rohland Eleanora., 2015, Cultural Dynamics of Climate Change and the Environment in Northern America, P137
   Rouphail R.M., 2020, RACE GENDER DISASTER
   Rouphail RM, 2019, ISIS, V110, P48, DOI 10.1086/702729
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Santayana G., 1905, LIFE REASON REASON C
   Schenk G, 2015, Cultures and disasters: Understanding cultural framings in disaster risk reduction, P72, DOI [10.4324/9781315797809, DOI 10.4324/9781315797809]
   Schenk GJ, 2007, HIST SOC RES, V32, P9
   Shaw S., 2014, 17 ANN INT S TEES CO, P1
   Simpson E, 2006, ANN ASSOC AM GEOGR, V96, P566, DOI 10.1111/j.1467-8306.2006.00706.x
   Taub L., 2003, Ancient Meteorology, DOI DOI 10.4324/9780203634288
   Titz A, 2018, SOCIETIES, V8, DOI 10.3390/soc8030071
   Vaghjee RR, 2000, EARLY WARNING SYSTEMS FOR NATURAL DISASTER REDUCTION, P209
   Walshe RA, 2012, INT J DISAST RISK SC, V3, P185, DOI 10.1007/s13753-012-0019-x
   Walter A., 1914, MAURITIUS ILLUSTRATE, pp188
   White G.F., 1976, Natural hazards: Local, national, global
   Wisner B., 1993, Geojournal, V30, P127, DOI 10.1007/BF00808129
   Wisner B., 2004, AT RISK, V2nd
NR 93
TC 13
Z9 15
U1 2
U2 18
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 101901
DI 10.1016/j.ijdrr.2020.101901
PG 13
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:000599649700007
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Mu, L
   Fang, L
   Liu, YH
   Wang, CC
AF Mu, Lan
   Fang, Lan
   Liu, Yuhong
   Wang, Chencheng
TI Identifying Barriers and Enablers for Climate Change Adaptation of
   Farmers in Semi-Arid North-Western China
SO SUSTAINABILITY
LA English
DT Article
DE climate change; barriers; enablers; adaptation strategies; semi-arid
   north-western China
ID PERCEPTIONS; STRATEGIES; RISK; VULNERABILITY; DETERMINANTS; BEHAVIOR;
   DRIVERS
AB The changing climate represents a large challenge for farmers, and adaptation responses are necessary to minimize impacts. Mixed approaches, which involve the analysis of meteorological data, web-based surveys, and face-to-face interviews, explore producers' barriers and pressing needs to enhance climate resilience based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approach in semi-arid north-western China. According to the main categories of farming activity, 85 crop farmers, 68 animal farmers, and 81 agro-tourism operators were interviewed. We found that most of the producers perceived climate impacts, and they encountered multiple adaptation obstacles, of which institutional and normative obstacles were more serious, such as farmers unable to obtain resources or government incentives, lacked scientific, and efficient coping measures. The survey also observed that crop farmers had a pressing need for agricultural subsidies, while animal farmers and agro-tourism operators had a strong enabler for animal housing infrastructure and credit facilities, respectively. Given the heterogeneity of the context and climate change experience of different categories of farmers, it is necessary to formulate flexible adaptation strategies and adjust them according to specific climate stress and farming conditions. To achieve the Sustainable Development Goals and implement the 2015 Paris Agreement, policymakers should plan and introduce appropriate adaptation strategies to minimize the adverse effects of climate change such as improving irrigation and weather forecasting system through technological advancement, cost reduction of farm inputs, ensuring availability of information, providing agricultural subsidies to the farmers, and increasing the access to agricultural markets.
C1 [Mu, Lan; Fang, Lan; Liu, Yuhong; Wang, Chencheng] Shaanxi Normal Univ, Northwest Inst Hist Environm & Socioecon Dev, Xian 710062, Peoples R China.
C3 Shaanxi Normal University
RP Mu, L (corresponding author), Shaanxi Normal Univ, Northwest Inst Hist Environm & Socioecon Dev, Xian 710062, Peoples R China.
EM mulan820706@snnu.edu.cn; fanglan@snnu.edu.cn; liuyuhong8023@snnu.edu.cn;
   wangchencheng123@snnu.edu.cn
FU major projects of the humanities and Social Sciences base of the
   Ministry of Education [17JJD790015]; Shaanxi Normal University, China
   [18QNGG011]; Ministry of Education Humanities and Social Science
   Research Youth Foundation [17XJC790010]; Shaanxi Social Science Fund
   [2018D29]; Key Laboratory Project of Shaanxi Education Department
   [05JS040]
FX This research was funded by the major projects of the humanities and
   Social Sciences base of the Ministry of Education (17JJD790015); the
   funded Projects for the Academic Leaders and Academic Backbones, Shaanxi
   Normal University, China (18QNGG011); the Ministry of Education
   Humanities and Social Science Research Youth Foundation (17XJC790010);
   Shaanxi Social Science Fund (2018D29); Key Laboratory Project of Shaanxi
   Education Department (05JS040).
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Ado AM, 2019, ENVIRON DEV SUSTAIN, V21, P2963, DOI 10.1007/s10668-018-0173-4
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Agrawala S, 2011, INT REV ENVIRON RESO, V5, P245, DOI 10.1561/101.00000043
   Altea L, 2020, CLIM DEV, V12, P134, DOI 10.1080/17565529.2019.1605285
   Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   Asseng S, 2013, CLIMATIC CHANGE, V118, P167, DOI 10.1007/s10584-012-0623-1
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bohensky EL, 2013, NAT CLIM CHANGE, V3, P348, DOI [10.1038/NCLIMATE1762, 10.1038/nclimate1762]
   Boyd E, 2013, NAT CLIM CHANGE, V3, P631, DOI 10.1038/NCLIMATE1856
   Cadez S, 2019, BUS STRATEG ENVIRON, V28, P1, DOI 10.1002/bse.2070
   Cadez S, 2017, ACCOUNT AUDIT ACCOUN, V30, P1041, DOI 10.1108/AAAJ-03-2015-2009
   Cadez S, 2016, J CLEAN PROD, V112, P4132, DOI 10.1016/j.jclepro.2015.07.099
   Chhetri N, 2012, APPL GEOGR, V33, P142, DOI 10.1016/j.apgeog.2011.10.006
   Czerny A, 2017, BUS STRATEG ENVIRON, V26, P791, DOI 10.1002/bse.1951
   Fahad S, 2018, LAND USE POLICY, V79, P301, DOI 10.1016/j.landusepol.2018.08.018
   Fosu-Mensah B. Y., 2012, Environment Development and Sustainability, V14, P495, DOI 10.1007/s10668-012-9339-7
   Ghanian M, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104553
   Gifford R, 2011, WIRES CLIM CHANGE, V2, P801, DOI 10.1002/wcc.143
   Gupta H, 2018, J ENVIRON MANAGE, V226, P201, DOI 10.1016/j.jenvman.2018.08.005
   Harvey C. A., 2018, Agriculture & Food Security, V7, P57, DOI 10.1186/s40066-018-0209-x
   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]
   Huang KC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114637
   Islam MM, 2013, J ENVIRON PSYCHOL, V34, P137, DOI 10.1016/j.jenvp.2013.02.002
   Jones L, 2011, GLOBAL ENVIRON CHANG, V21, P1262, DOI 10.1016/j.gloenvcha.2011.06.002
   Khagram S., 2003, Journal of Human Development, V4, P289, DOI [10.1080/1464988032000087604, DOI 10.1080/1464988032000087604]
   Khanal U, 2019, ENVIRON SCI POLICY, V101, P156, DOI 10.1016/j.envsci.2019.08.006
   Kibue GW, 2016, ENVIRON MANAGE, V57, P976, DOI 10.1007/s00267-016-0661-y
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Luo Y., 2002, P 25 NAT C ANN C CHI
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Moser SC, 2010, P NATL ACAD SCI USA, V107, P22026, DOI 10.1073/pnas.1007887107
   Muita RR, 2016, WIRES WATER, V3, P105, DOI 10.1002/wat2.1118
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Popoola OO, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145846
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Shi XM, 2019, SCI TOTAL ENVIRON, V697, DOI 10.1016/j.scitotenv.2019.134217
   Simonet G, 2019, CLIMATIC CHANGE, V155, P621, DOI 10.1007/s10584-019-02484-9
   Talbot D, 2015, J BUS ETHICS, V132, P329, DOI 10.1007/s10551-014-2322-5
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   U.N. Transforming, 2015, OUR WORLD 2030 AG SU
   Umar S., 2016, Journal of Agriculture and Veterinary Science, V3, P37
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Wahid U., 2019, PAKISTAN ENV MONITOR, V191, P1
   Wang WJ, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.104354
   Whitney CK, 2019, OCEAN COAST MANAGE, V179, DOI 10.1016/j.ocecoaman.2019.05.010
   Wreford A, 2020, AGR SYST, V178, DOI 10.1016/j.agsy.2019.102737
   Yang WC, 2018, ECOL INDIC, V89, P269, DOI 10.1016/j.ecolind.2018.02.015
   Zhai SY, 2018, J INTEGR AGR, V17, P949, DOI 10.1016/S2095-3119(17)61753-2
NR 51
TC 9
Z9 9
U1 4
U2 35
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD SEP
PY 2020
VL 12
IS 18
AR 7494
DI 10.3390/su12187494
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 OJ9QZ
UT WOS:000584290200001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Thanh, HT
   Tswhakert, P
   Hipsey, MR
AF Hoang Trung Thanh
   Tschakert, Petra
   Hipsey, Matthew R.
TI Tracing environmental and livelihood dynamics in a tropical coastal
   lagoon through the lens of multiple adaptive cycles
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE adaptive cycle; coastal lagoon; dynamics; livelihoodpathways;
   social-ecologicalsystems; Vietnam
ID SOCIAL-ECOLOGICAL SYSTEMS; TAM-GIANG LAGOON; CLIMATE-CHANGE ADAPTATION;
   REGIME SHIFTS; MARINE FISHERIES; IMPACTS; SUSTAINABILITY; VULNERABILITY;
   RESILIENCE; VARIABILITY
AB Understanding the long-term dynamics of social-ecological systems is critical to better inform sustainable management. Since Holling's adaptive cycle heuristic, published in 2001, substantial progress has been made to explore historical changes in agricultural, pastoral, and forest systems. However, the application of this heuristic in coastal fishery systems has been relatively rare. Using the Tam Giang Lagoon in Vietnam as an example of a rapidly changing environment, we explore the historical behavior of this tropical coastal social-ecological system (SES), associated livelihood pathways, and possible challenges for future livelihood adaptations through the lens of the adaptive cycle metaphor. Our analysis demonstrates that the present lagoon SES condition is the result of a series of historical events and reorganization attempts through two complete adaptive cycles. The lagoon's future vulnerability is tied to the intensification of human uses, prolonged ecological degradation, and intensifying climatic hazards. We show how the evolution of the lagoon SES resulted in divergent livelihood pathways that bring benefits to some users but also cause persistent constraints and sometimes irreversible losses to other users in shared common pool resources. A one-size-fits-all fishery management approach is therefore ill-suited for improving diverse livelihoods. We recommend that fishery policies take seriously the heterogeneity in livelihood pathways for sustainable lagoon management. We end by reflecting on the usefulness of the adaptive cycle heuristic in systematically exploring historical dynamics and identifying underlying drivers and feedbacks between the social and ecological components of complex fishery systems.
C1 [Hoang Trung Thanh; Tschakert, Petra; Hipsey, Matthew R.] Univ Western Australia, UWA Sch Agr & Environm, Nedlands, WA, Australia.
   [Hoang Trung Thanh] Vietnam Inst Meteorol Hydrol & Climate Change, Ctr Environm Res, Hanoi, Vietnam.
C3 University of Western Australia
RP Thanh, HT (corresponding author), Univ Western Australia, UWA Sch Agr & Environm, Nedlands, WA, Australia.; Thanh, HT (corresponding author), Vietnam Inst Meteorol Hydrol & Climate Change, Ctr Environm Res, Hanoi, Vietnam.
RI Hipsey, Matthew/C-3551-2009
OI Hipsey, Matthew/0000-0001-8386-4354; Tschakert,
   Petra/0000-0002-4268-3378
FU Australian Government Research Training Program Scholarship; Australian
   Postgraduate Award; University Postgraduate Award from the University of
   Western Australia; Australian Research Council [LP15010045]
FX The authors would like to thank the participants in the Tam Giang Lagoon
   for their warm welcome and active participation in fieldwork activities.
   We also appreciate local researchers far sharing their invaluable
   experiences, knowledge, and data about the lagoon system. We would like
   to acknowledge the financial support from an Australian Government
   Research Training Program Scholarship, an Australian Postgraduate Award,
   and a University Postgraduate Award from the University of Western
   Australia all of which made this research possible. MRH received funding
   from the Australian Research Council project LP15010045. We thank the
   editor and the anonymous reviewer for their very constructive comments
   that considerably improved the final manuscript.
CR Abel N, 2006, ECOL SOC, V11
   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, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Aldana-Domínguez J, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10072247
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   Allison EH, 2001, MAR POLICY, V25, P377, DOI 10.1016/S0308-597X(01)00023-9
   Andrachuk M, 2015, ECOL SOC, V20, DOI 10.5751/ES-07759-200426
   Angeler DG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0146053
   [Anonymous], 2017, AMBIO, DOI DOI 10.1007/s13280-016-0800-y
   [Anonymous], J ENV SCI SUSTAINABL, DOI [10.3107/jesss.4.13, DOI 10.3107/JESSS.4.13]
   [Anonymous], 2005, Collapse: How Civilizations Choose to Fail and Succeed
   Anthony A, 2009, ECOL SOC, V14
   Antoni C, 2019, LAND USE POLICY, V81, P346, DOI 10.1016/j.landusepol.2018.10.028
   Barnett J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07698-200305
   Beier CM, 2009, ECOL SOC, V14
   Biggs R, 2018, ECOL SOC, V23, DOI [10.5751/ES-10264-230309, 10.5751/ES-]
   Binh N. Q. V., 1996, QUAN LY NGUON LOI TH
   Boonstra W. J., 2012, Journal of Natural Resources Policy Research, V4, P1, DOI 10.1080/19390459.2012.642634
   Boonstra WJ, 2015, ENVIRON DEV SUSTAIN, V17, P1527, DOI 10.1007/s10668-014-9612-z
   Brattland C, 2019, AMBIO, V48, P1516, DOI 10.1007/s13280-018-1129-5
   Charles A, 2012, CURR OPIN ENV SUST, V4, P351, DOI 10.1016/j.cosust.2012.05.011
   Quynh CNT, 2018, ECOL ECON, V151, P22, DOI 10.1016/j.ecolecon.2018.04.032
   Christia C, 2018, WATER-SUI, V10, DOI 10.3390/w10020151
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   Cinner JE, 2011, COAST MANAGE, V39, P351, DOI 10.1080/08920753.2011.589207
   Cinner JE, 2009, CURR BIOL, V19, P206, DOI 10.1016/j.cub.2008.11.055
   Cox A, 2014, ASIA PAC BUS REV, V20, P401, DOI 10.1080/13602381.2014.931045
   Crépin AS, 2007, ENVIRON RESOUR ECON, V36, P191, DOI 10.1007/s10640-006-9029-8
   Crépin AS, 2012, ECOL ECON, V84, P15, DOI 10.1016/j.ecolecon.2012.09.003
   DaCosta E, 2007, GEOFORUM, V38, P190, DOI 10.1016/j.geoforum.2006.08.003
   Daedlow K, 2011, ECOL SOC, V16
   de Souza MS, 2018, FRONT MICROBIOL, V9, DOI 10.3389/fmicb.2018.01727
   Department of Fisheries, 2014, FISH CAPT PROD TAM G
   Department of Fisheries, 2016, KY YEU KHU BAO VE TH
   Ding Q, 2017, MAR POLICY, V83, P55, DOI 10.1016/j.marpol.2017.05.011
   Drinkwater KF, 2010, J MARINE SYST, V79, P374, DOI 10.1016/j.jmarsys.2008.12.014
   Dulvy N., 2009, Nature Reports Climate Change, P68
   Elliott M, 2017, MAR POLLUT BULL, V118, P27, DOI 10.1016/j.marpolbul.2017.03.049
   Fath BD, 2015, ECOL SOC, V20, DOI 10.5751/ES-07467-200224
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer J, 2015, CURR OPIN ENV SUST, V14, P144, DOI 10.1016/j.cosust.2015.06.002
   FOLKE C, 2010, ECOLOGY SOC, V15, DOI DOI 10.5751/ES-3610-150420
   Goulden MC, 2013, ANN ASSOC AM GEOGR, V103, P906, DOI 10.1080/00045608.2013.765771
   Gunderson L. H., 2002, Panarchy: understanding transformations in human and natural systems
   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]
   Herrero-Jáuregui C, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10082950
   Hesse C, 2015, HYDROLOG SCI J, V60, P890, DOI 10.1080/02626667.2014.967247
   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., 1986, Sustainable Development and the Biosphere
   Honing C. S, 2002, RESILIENCE ADAPTIVE
   Hoque SF, 2018, REG ENVIRON CHANGE, V18, P451, DOI 10.1007/s10113-017-1213-6
   Huber-Sannwald E, 2012, PHILOS T R SOC B, V367, P3158, DOI 10.1098/rstb.2011.0349
   International Union for Conservation of Nature (IUCN), 2008, EC AN ENV IMP ASS WA
   Islam MM, 2014, REG ENVIRON CHANGE, V14, P281, DOI 10.1007/s10113-013-0487-6
   JICA (Japan International Cooperation Agency), 2003, STUD NAT WAT RES DEV
   Kinzig AP, 2006, ECOL SOC, V11
   Lajus D, 2017, SPR POLAR SCI, P127, DOI 10.1007/978-3-319-57532-2_13
   Leenhardt P, 2015, OCEAN COAST MANAGE, V115, P49, DOI 10.1016/j.ocecoaman.2015.04.018
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Mace GM, 2014, SCIENCE, V345, P1558, DOI 10.1126/science.1254704
   Machado MR, 2018, GEOFORUM, V94, P53, DOI 10.1016/j.geoforum.2018.06.009
   Mallon R., 1997, D MOI 10 YEARS 1986, V24, P9
   Marconi M, 2010, MAR ENVIRON RES, V70, P253, DOI 10.1016/j.marenvres.2010.04.009
   Marcos-López M, 2010, TRANSBOUND EMERG DIS, V57, P293, DOI 10.1111/j.1865-1682.2010.01150.x
   Michael Elliott., 2019, Coasts and Estuaries: The Future, P1, DOI [10.1016/B978-0-12-814003-1.00001-0, DOI 10.1016/B978-0-12-814003-1.00001-0]
   Mien L. V, 2006, FISHERY ACTIVITIES L
   Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY
   Ministry of Natural Resources and Environment, 2016, SCEN CLIM CHANG SEA
   Msangi S., 2011, LOOKING AHEAD WORLD
   Nayak PK, 2016, REG ENVIRON CHANGE, V16, P325, DOI 10.1007/s10113-015-0775-4
   Nkhata AB, 2008, ECOL SOC, V13
   Olsson L, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P793
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Perry RI, 2010, MARINE ECOSYSTEMS AND GLOBAL CHANGE, P221
   Pomeroy RS, 2006, MAR POLICY, V30, P786, DOI 10.1016/j.marpol.2006.02.003
   Quan N, 2016, DEGRADATION DEGREE K
   Quang Cong Communal People's Committee, 2018, TO TRINH VIEC XIN CH
   Rasmussen LV, 2012, ECOL SOC, V17, DOI 10.5751/ES-04614-170114
   Raymond C, 2008, AGR HIST, V82, P43, DOI 10.3098/ah.2008.82.1.43
   Ritchie J, 2003, QUALITATIVE RES PRAC
   Rocha J. C, 2014, REGIME SHIFTS WHAT A
   Rocha JC, 2018, SCIENCE, V362, P1379, DOI 10.1126/science.aat7850
   Rocha JC, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0134639
   Ruddle K, 1998, OCEAN COAST MANAGE, V40, P1, DOI 10.1016/S0964-5691(98)00072-6
   Salvia R, 2015, SUSTAINABILITY-BASEL, V7, P11114, DOI 10.3390/su70811114
   Scheffer M, 2009, NATURE, V461, P53, DOI 10.1038/nature08227
   Schlüter M, 2012, NAT RESOUR MODEL, V25, P219, DOI 10.1111/j.1939-7445.2011.00108.x
   Schlüter M, 2014, ECOL SOC, V19, DOI 10.5751/ES-05782-190136
   Sivapalan M, 2015, WATER RESOUR RES, V51, P6988, DOI 10.1002/2015WR017896
   Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301
   Huong TTT, 2011, INT J COMMONS, V5, P130, DOI 10.18352/ijc.236
   Teuber S, 2017, ECOL SOC, V22, DOI [10.5751/ES-09729-220413, 10.5751/es-09729-220413]
   Thanh T. D., 1998, EVALUATION POTENTIAL
   Thanh T. D., 1997, SCI TECHNOLOGY, V4, P185
   Thanh T. D, 2002, COLLECTION MARINE RE, P119
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Thua Thien Hue Provincial People's Committee, 2011, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2011, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2014, DEC ISS REG DEV WHIT
   Thua Thien Hue Provincial People's Committee, 2010, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2008, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2010, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2010, QUYET DINH VIEC PHE
   Thua Thien Hue Provincial People's Committee, 2008, QUYET DINH VIEC PHE
   Thua Thien Hue Statistics Office, 2005, STAT YB
   Thua Thien Hue Statistics Office, 2016, STAT YB
   Thua Thien Hue Statistics Office, 2010, STAT YB
   Hanh TTH, 2018, ECOL SOC, V23, DOI 10.5751/ES-10207-230316
   Tschakert P, 2019, GLOBAL ENVIRON CHANG, V55, P58, DOI 10.1016/j.gloenvcha.2018.11.006
   Tschakert P., 2009, Particip Learn Act, V60, P154
   Tuan L.X., 2012, EARTH SCI, V28, P140
   Tuan TH, 2009, OCEAN COAST MANAGE, V52, P102, DOI 10.1016/j.ocecoaman.2008.10.011
   Varjopuro R, 2014, ECOL SOC, V19, DOI 10.5751/ES-06938-190448
   Vietnam Institute of Meteorology. Hydrology and Climate Change, 2008, CLIM CHANG IMP HUONG
   Vietnam Institute of Meteorology Hydrology and Climate Change, 2015, VIETN SPEC REP MAN R
   Walker B, 2004, ECOL SOC, V9
   Walker B, 2006, ECOL SOC, V11
   Walker BH, 2012, ECOL SOC, V17, DOI 10.5751/ES-05063-170330
NR 121
TC 15
Z9 15
U1 4
U2 42
PU RESILIENCE ALLIANCE
PI WOLFVILLE
PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA
SN 1708-3087
J9 ECOL SOC
JI Ecol. Soc.
PD MAR
PY 2020
VL 25
IS 1
AR 31
DI 10.5751/ES-11489-250131
PG 24
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA LA7UV
UT WOS:000524149700032
OA gold
DA 2025-01-10
ER

PT J
AU Revelli, R
   Porporato, A
AF Revelli, Roberto
   Porporato, Amilcare
TI Ecohydrological model for the quantification of ecosystem services
   provided by urban street trees
SO URBAN ECOSYSTEMS
LA English
DT Article
DE Ecosystem services; Ecohydrology; Urban green spaces; Street trees; Soil
   moisture; Nutrients; Soil carbon content; Pervious-impervious surfaces;
   Seasonality
ID CLIMATE-CHANGE ADAPTATION; UNDERLYING BASE LAYER; GREEN INFRASTRUCTURE;
   PERMEABLE PAVEMENTS; NITROGEN CYCLES; CARBON STORAGE; SOIL-MOISTURE;
   VEGETATION; LANDSCAPE; SPACE
AB Urban green spaces have been recognized as an important source of ecosystem services, whose quantification requires the determination of quantities related to energy, water, carbon and soil nutrient content. In this paper we propose a stochastic ecohydrological model that couples two existing models for water and nutrients in urban soil at the single street-tree scale. The model input are rainfall and irrigation, for water, and deposition and fertilization, for nitrogen, while the output are evapotranspiration, runoff and deep percolation, for water, and plant uptake and leaching, for nitrogen. The various terms are related to the amount of paved and impervious surfaces that surround the tree trunk and regulate the water and nutrient fluxes in and out the soil. Particular attention is paid to the effects of seasonal variations on plant water and nutrients through a temporal variation of the hydrologic variables (i.e., temperature and rainfall intensity and frequencies). The average model outputs are preliminarily compared with the scant existing literature data, supporting the model application to cities with different climatic conditions. The model results are used to estimate the potential for ecosystem services like tree cooling effects, soil carbon sequestration or storm-water management. Because of the minimal structure of the proposed model, it requires a very low amount of data, while accounting for the stochastic input of rainfall. In the context of climate change and increasing urbanization, the model may offer useful indications to urban planners to enhance ecosystem services while minimizing irrigation, fertilization and their related costs.
C1 [Revelli, Roberto] Politecn Torino, Dept Environm Land & Infrastruct Engn, DIATI, Turin, Italy.
   [Porporato, Amilcare] Princeton Univ, Civil & Environm Engn, Princeton, NJ 08454 USA.
   [Porporato, Amilcare] Princeton Univ, Princeton Environm Inst, Princeton, NJ 08454 USA.
   [Revelli, Roberto] Duke Univ, Pratt Sch Engn, Durham, NC 27708 USA.
C3 Polytechnic University of Turin; Princeton University; Princeton
   University; Duke University
RP Revelli, R (corresponding author), Politecn Torino, Dept Environm Land & Infrastruct Engn, DIATI, Turin, Italy.; Revelli, R (corresponding author), Duke Univ, Pratt Sch Engn, Durham, NC 27708 USA.
EM roberto.revelli@duke.edu; aporpora@princeton.edu
OI Porporato, Amilcare/0000-0001-9378-207X; Revelli,
   Roberto/0000-0001-9704-260X
FU European Union's Horizon research and innovation program under the Marie
   Sklodowska-Curie grant agreement [701914]; USDA Agricultural Research
   Service [58-6408-3-027]; National Science Foundation (NSF) [EAR-1331846,
   EAR-1316258, DGE-1068871, FESD EAR-1338694]; Marie Curie Actions (MSCA)
   [701914] Funding Source: Marie Curie Actions (MSCA)
FX This project has received funding from the European Union's Horizon 2020
   research and innovation program under the Marie Sklodowska-Curie grant
   agreement "ECO. G.U.S.ECOsystem services for resilient and sustainable
   cities: an ecohydrological approach for Green Urban Spaces "(#701914).
   The work is also supported by USDA Agricultural Research Service
   cooperative agreement 58-6408-3-027; National Science Foundation (NSF)
   grants: EAR-1331846, EAR-1316258, and the DGE-1068871 and FESD
   EAR-1338694.
CR Amador JA, 2007, WATER AIR SOIL POLL, V185, P323, DOI 10.1007/s11270-007-9456-3
   Barker Philip A., 1995, Arboricultural Journal, V19, P295
   BassiriRad H, 2008, CONTROL PLANT NITROG, P71
   Blunt Stephen M., 2008, Arboricultural Journal, V31, P73
   Bodnaruk EW, 2017, LANDSCAPE URBAN PLAN, V157, P457, DOI 10.1016/j.landurbplan.2016.08.016
   Boerema A, 2017, J APPL ECOL, V54, P358, DOI 10.1111/1365-2664.12696
   Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bratt AR, 2017, ENVIRON SCI TECHNOL, V51, P3138, DOI 10.1021/acs.est.6b06299
   Brown RD, 2015, LANDSCAPE URBAN PLAN, V138, P118, DOI 10.1016/j.landurbplan.2015.02.006
   Byrne J, 2009, AUST PLAN, V46, P35, DOI 10.1080/07293682.2009.10753420
   Byrne JA, 2015, LANDSCAPE URBAN PLAN, V138, P132, DOI 10.1016/j.landurbplan.2015.02.013
   Calcerano F, 2016, ENERG BUILDINGS, V112, P234, DOI 10.1016/j.enbuild.2015.12.023
   Cermák J, 2000, PLANT SOIL, V219, P103, DOI 10.1023/A:1004736310417
   Cregg B. M., 1995, Journal of Arboriculture, V21, P271
   Derkzen ML, 2015, J APPL ECOL, V52, P1020, DOI 10.1111/1365-2664.12469
   Dobbs C., 2017, ECOSYST SERV, DOI [10.4324/9781315627106.ch4, DOI 10.4324/9781315627106.CH4]
   Feng X, 2014, P R SOC LOND A, V471
   Gago EJ, 2013, RENEW SUST ENERG REV, V25, P749, DOI 10.1016/j.rser.2013.05.057
   Gómez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019
   Grabosky J, 2016, URBAN FOR URBAN GREE, V16, P103, DOI 10.1016/j.ufug.2016.02.002
   Grimm NB, 2008, FRONT ECOL ENVIRON, V6, P264, DOI 10.1890/070147
   Gundersen P, 1998, ENVIRON POLLUT, V102, P403, DOI 10.1016/S0269-7491(98)80060-2
   i- Tree, 2017, TOOLS ASS MAN FOR CO
   Iseman TM, 1999, SOIL SCI SOC AM J, V63, P1424, DOI 10.2136/sssaj1999.6351424x
   Janhäll S, 2015, ATMOS ENVIRON, V105, P130, DOI 10.1016/j.atmosenv.2015.01.052
   Johnson TP, 2011, ISA INT C TREE CLIMB
   Kaye JP, 2006, TRENDS ECOL EVOL, V21, P192, DOI 10.1016/j.tree.2005.12.006
   Klemm W, 2015, LANDSCAPE URBAN PLAN, V138, P87, DOI 10.1016/j.landurbplan.2015.02.009
   Kong F, 2016, APPL ENERG, V183, P1428, DOI 10.1016/j.apenergy.2016.09.070
   [埃里克?克雷默 Kramer Eric], 2015, [Landscape Architecture Frontiers, 景观设计学], V3, P46
   Kuo FE, 2001, ENVIRON BEHAV, V33, P343, DOI 10.1177/00139160121973025
   Lucke T, 2011, BUILD RES INF, V39, P603, DOI 10.1080/09613218.2011.602182
   Ma L., 2008, QUANTIFYING UNDERSTA
   Maas J, 2009, ENVIRON PLANN A, V41, P1763, DOI 10.1068/a4196
   Mace G., 2005, ECOSYSTEMS HUMAN WEL, V1, P77
   Matthews T, 2015, LANDSCAPE URBAN PLAN, V138, P155, DOI 10.1016/j.landurbplan.2015.02.010
   McPherson EG, 2013, LANDSCAPE URBAN PLAN, V120, P70, DOI 10.1016/j.landurbplan.2013.08.005
   McPherson EG, 2011, LANDSCAPE URBAN PLAN, V99, P40, DOI 10.1016/j.landurbplan.2010.08.011
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Morgenroth Justin, 2008, Arboriculture & Urban Forestry, V34, P84
   Morgenroth J, 2013, ECOL ENG, V51, P221, DOI 10.1016/j.ecoleng.2012.12.041
   Morgenroth Justin, 2009, Arboriculture & Urban Forestry, V35, P135
   Mullaney J, 2015, URBAN FOR URBAN GREE, V14, P686, DOI 10.1016/j.ufug.2015.06.008
   Mullaney J, 2015, URBAN FOR URBAN GREE, V14, P19, DOI 10.1016/j.ufug.2014.11.007
   Mullaney J, 2015, LANDSCAPE URBAN PLAN, V134, P157, DOI 10.1016/j.landurbplan.2014.10.013
   Mullaney J, 2014, CLEAN-SOIL AIR WATER, V42, P111, DOI 10.1002/clen.201300118
   Nidzgorski DA, 2016, ECOL APPL, V26, P1566, DOI 10.1002/15-0976
   Nouri H, 2013, URBAN WATER J, V10, P247, DOI 10.1080/1573062X.2012.726360
   Nowak DJ, 2002, ENVIRON POLLUT, V116, P381, DOI 10.1016/S0269-7491(01)00214-7
   Parolari AJ, 2016, ECOL MODEL, V329, P64, DOI 10.1016/j.ecolmodel.2016.03.003
   Pataki DE, 2011, ECOHYDROLOGY, V4, P341, DOI 10.1002/eco.209
   Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220
   Peters EB, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2010JG001463
   Peters EB, 2010, J GEOPHYS RES-BIOGEO, V115, DOI 10.1029/2009JG001266
   Pitman SD, 2015, T ROY SOC SOUTH AUST, V139, P97, DOI 10.1080/03721426.2015.1035219
   Porporato, 2007, ECOHYDROLOGY WATER C
   Porporato A, 2003, ADV WATER RESOUR, V26, P45, DOI 10.1016/S0309-1708(02)00094-5
   Qin ZX, 2013, J ENVIRON QUAL, V42, P1534, DOI 10.2134/jeq2013.04.0126
   Raciti SM, 2008, ECOL APPL, V18, P1615, DOI 10.1890/07-1062.1
   Raciti SM, 2011, ECOSYSTEMS, V14, P287, DOI 10.1007/s10021-010-9409-3
   Rohr T, 2013, J GEOPHYS RES-BIOGEO, V118, P1156, DOI 10.1002/jgrg.20091
   Rosenberg DE, 2011, J AM WATER RESOUR AS, V47, P635, DOI 10.1111/j.1752-1688.2011.00530.x
   Russo A, 2016, AIMS ENVIRON SCI, V3, P58, DOI 10.3934/environsci.2016.1.58
   Salmond JA, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0103-6
   Scholz M, 2007, BUILD ENVIRON, V42, P3830, DOI 10.1016/j.buildenv.2006.11.016
   Shackleton C, 2016, FORESTS, V7, DOI 10.3390/f7070134
   Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426
   Song YS, 2015, URBAN FOR URBAN GREE, V14, P1102, DOI 10.1016/j.ufug.2015.10.008
   Strahm BD, 2005, FOREST ECOL MANAG, V218, P74, DOI 10.1016/j.foreco.2005.07.013
   Thompson CW, 2012, LANDSCAPE URBAN PLAN, V105, P221, DOI 10.1016/j.landurbplan.2011.12.015
   Tyrvainen L., 2005, Benefits and Uses of Urban Forests and Trees, DOI [DOI 10.1007/3-540-27684-X_5, 10.1007/3-540-27684-X_5]
   Velasco E, 2016, LANDSCAPE URBAN PLAN, V148, P99, DOI 10.1016/j.landurbplan.2015.12.003
   Venkatraman K., 2016, Hydrology: Current Research, V7, P236
   Vico G, 2014, ECOHYDROLOGY, V7, P508, DOI 10.1002/eco.1369
   Vico G, 2011, ADV WATER RESOUR, V34, P263, DOI 10.1016/j.advwatres.2010.11.010
   Villa F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091001
   Volder A, 2014, URBAN ECOSYST, V17, P445, DOI 10.1007/s11252-013-0330-3
   Volder A, 2009, URBAN FOR URBAN GREE, V8, P249, DOI 10.1016/j.ufug.2009.08.006
   Vos PEJ, 2013, ENVIRON POLLUT, V183, P113, DOI 10.1016/j.envpol.2012.10.021
   Wang P, 2008, QUANTIFYING UNDERSTA, V277
   Wang ZH, 2016, APPL ENERG, V161, P437, DOI 10.1016/j.apenergy.2015.10.047
   Winn JP, 2016, ECOSERV GIS TOOLKIT
   Yang Y, 2013, J GEOPHYS RES-ATMOS, V118, P10449, DOI 10.1002/jgrd.50803
   Yang Y, 2011, J AM WATER RESOUR AS, V47, P1211, DOI 10.1111/j.1752-1688.2011.00564.x
   Young RF, 2013, URBAN ECOSYST, V16, P703, DOI 10.1007/s11252-013-0287-2
   Zölch T, 2016, URBAN FOR URBAN GREE, V20, P305, DOI 10.1016/j.ufug.2016.09.011
NR 87
TC 25
Z9 28
U1 5
U2 115
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 JUN
PY 2018
VL 21
IS 3
BP 489
EP 504
DI 10.1007/s11252-018-0741-2
PG 16
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 GI1WZ
UT WOS:000434162600008
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Mauerhofer, V
   Essl, I
AF Mauerhofer, V.
   Essl, I.
TI An analytical framework for solutions of conflicting interests between
   climate change and biodiversity conservation laws on the example of
   Vienna/Austria
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Nature conservation & species; Climate change adaptation & mitigation in
   urban city; Voluntary & compulsory habitat oriented framework;
   Conflicting interests; Trade-offs; Action & inaction
ID 3-D SUSTAINABILITY; CHANGE MITIGATION; CARBON EMISSIONS; NATURA 2000;
   MANAGEMENT; CONVENTION; GOVERNANCE; RESIDUES; BENEFITS; IMPACTS
AB Measures that aim to enhance different environmental assets are increasingly conflicting also in urban areas and there is a lack as well as a need for science-based assessment tools that also provide solution-oriented approaches which work in practice. This paper aims to provide a new analytical framework for conflicts of interest between such measures. The framework is applied to climate change and biodiversity (including ecosystem) conservation law as well as thereon based measures and tested on the example of a city embedded in different geopolitical governance levels.
   The analysis is based on an in-depth literature review and develops an analytical framework in particular grounded upon differentiations between actions and inactions as well as between voluntary and compulsory activities.
   When testing this framework for the Viennese case, the authors systematically discuss the different types of Viennese endangered habitat types especially according to their required legal and other governance interventions, particularly under the climate change related forest law regime and biodiversity conservation law (both especially against the background of the Natura 2000 scheme of the European Union).
   The paper explains the logic and structure of the new framework and describes its theoretical applicability on conflicts of interests in general. Furthermore, the case study tested on the city of Vienna/Austria indicates also the practical applicability of the framework and offers different solution approaches de lege lata (how the law is) and de lege ferenda (how the law should be). (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Mauerhofer, V.] Meiji Univ, Grad Sch Law, Environm Law Ctr Org Strateg Coordinat Environm R, Chiyoda Ku, B730,14 Gokan,1-1 Kanda Surugadai, Tokyo 1018301, Japan.
   [Essl, I.] Univ Vienna, Fac Philol & Cultural Studies, Vienna, Austria.
C3 Meiji University; University of Vienna
RP Mauerhofer, V (corresponding author), Meiji Univ, Grad Sch Law, Environm Law Ctr Org Strateg Coordinat Environm R, Chiyoda Ku, B730,14 Gokan,1-1 Kanda Surugadai, Tokyo 1018301, Japan.
EM volker.mauerhofer@gmx.at
OI Mauerhofer, Volker/0000-0002-5444-2619
CR [Anonymous], 2006, OfficiaiJournalofthe European Union, VL114, P64
   [Anonymous], O J L
   [Anonymous], INT ENV LAW GREENING
   [Anonymous], WILDERNESS PROTECTIO
   [Anonymous], 2010, OFF J EUR UNION, V153, P13, DOI DOI 10.3000/17252555.6.2010.153.ENG
   Breidenich C, 1998, AM J INT LAW, V92, P315, DOI 10.2307/2998044
   Clémençon R, 2016, J ENVIRON DEV, V25, P3, DOI 10.1177/1070496516631362
   de Koning J, 2014, ENVIRON SCI POLICY, V39, P129, DOI 10.1016/j.envsci.2013.08.010
   EC, 2011, OFFICIAL J L, V197, P30
   EC, 2005, NAT 2000 CONS PARTN, P4
   EEC, 1988, OFFICIAL J L, V40, P12
   EEC, 1979, OFFICIAL J L, V103, P1
   EEC, 1992, OFFICIAL J L
   European Council, 2003, Off. J. Eur. Union, V25, P32
   European Environment Agency, 2016, HIER DESCR HAB TYP A
   Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747
   Fargione JE, 2009, BIOSCIENCE, V59, P767, DOI 10.1525/bio.2009.59.9.8
   Firn J, 2015, GLOBAL CHANGE BIOL, V21, P3917, DOI 10.1111/gcb.13034
   Giuntoli J, 2015, J CLEAN PROD, V99, P206, DOI 10.1016/j.jclepro.2015.03.025
   Grunewald N, 2016, ENVIRON DEV ECON, V21, P1, DOI 10.1017/S1355770X15000091
   Hall JM, 2012, LANDSCAPE ECOL, V27, P1135, DOI 10.1007/s10980-012-9755-y
   Kalss S., 1990, FORSTRECHT WALDERHAL
   Kohl I, 2011, ECO MONT, V3, P51, DOI 10.1553/eco.mont-3-1s51
   Malico I, 2016, J CLEAN PROD, V112, P3676, DOI 10.1016/j.jclepro.2015.07.131
   Mauerhofer V, 2018, LAND USE POLICY, V72, P57, DOI 10.1016/j.landusepol.2017.12.003
   Mauerhofer V., 2016, WILDERNESS PROTECTIO, P247
   Mauerhofer V., 1998, 129 UMW
   Mauerhofer V., 2001, RECHT UMWELT, V4, P130
   Mauerhofer V., 2016, GEMEINSCHAFTS VERFAS, V3, P107
   Mauerhofer V, 2008, ECOL ECON, V64, P496, DOI 10.1016/j.ecolecon.2007.09.011
   Mauerhofer V, 2012, LAND USE POLICY, V29, P652, DOI 10.1016/j.landusepol.2011.10.008
   Mauerhofer Volker, 2008, P1
   Meller L, 2015, REG ENVIRON CHANGE, V15, P961, DOI 10.1007/s10113-013-0504-9
   Nilsson M, 2012, ECOL ECON, V75, P61, DOI 10.1016/j.ecolecon.2011.12.015
   Parajuli R, 2017, J CLEAN PROD, V142, P3859, DOI 10.1016/j.jclepro.2016.10.076
   PATERSON M, 1992, INT AFF, V68, P293, DOI 10.2307/2623216
   Phelps J, 2012, NAT CLIM CHANGE, V2, P497, DOI [10.1038/NCLIMATE1462, 10.1038/nclimate1462]
   Provincial Government, 2016, NAT 2000 STAND DAT F
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Shoyama K, 2013, LAND USE POLICY, V34, P282, DOI 10.1016/j.landusepol.2013.04.003
   Siebenhüner B, 2007, BIODIVERS CONSERV, V16, P259, DOI 10.1007/s10531-006-9043-8
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Stocchero A, 2017, J CLEAN PROD, V143, P1001, DOI 10.1016/j.jclepro.2016.12.020
   Strassburg BBN, 2012, NAT CLIM CHANGE, V2, P350, DOI [10.1038/nclimate1375, 10.1038/NCLIMATE1375]
   Swanson T, 1999, INT AFF, V75, P307, DOI 10.1111/1468-2346.00074
   Trouwborst A, 2009, J ENVIRON LAW, V21, P419, DOI 10.1093/jel/eqp024
   VAILLANCOURT JG, 1993, SOC NATUR RESOUR, V6, P81, DOI 10.1080/08941929309380810
   Vuichard N, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2008GB003212
   Winter S, 2014, BIODIVERS CONSERV, V23, P3451, DOI 10.1007/s10531-014-0822-3
   Young JC, 2010, BIODIVERS CONSERV, V19, P3973, DOI 10.1007/s10531-010-9941-7
NR 50
TC 6
Z9 6
U1 3
U2 38
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD MAR 20
PY 2018
VL 178
BP 343
EP 352
DI 10.1016/j.jclepro.2017.12.222
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA FW8DR
UT WOS:000425558600031
DA 2025-01-10
ER

PT J
AU Ayre, ML
   Wallis, PJ
   Daniell, KA
AF Ayre, Margaret L.
   Wallis, Philip J.
   Daniell, Katherine A.
TI Learning from collaborative research on sustainably managing fresh
   water: implications for ethical research-practice engagement
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE cocreation; collaboration; ethical research practice; freshwater
   management
ID INTEGRATED CATCHMENT MANAGEMENT; SOCIAL-PROCESS; GOVERNANCE; POLICY;
   SCIENCE; VALUES; COPRODUCTION; COMANAGEMENT; EXPERIENCES; ADAPTATION
AB Since the mid-2000s, there has been increasing recognition of the promise of collaborative research and management for addressing complex issues in sustainably managing fresh water. A large variety of collaborative freshwater research and management processes is now evident around the world. However, how collective knowledge development, coproduction, or cocreation is carried out in an ethical manner is less well known. From the literature and our experiences as applied, transdisciplinary researchers and natural resource management practitioners, we seek to describe and explore these aspects of empirical cases of collaborative freshwater research and management. Drawing on cases from Indigenous community-based natural resource management in northern Australia, flood and drought risk management in Bulgaria, water management and climate change adaptation in the Pacific, and regional catchment and estuary management in Victoria and New South Wales in Australia, we identify lessons to support improved collaborative sustainable freshwater management research and practice. Cocreation represents an emerging approach to participation and collaboration in freshwater management research-practice and can be seen to constitute four interlinked and iterative phases: coinitiation, codesign, coimplementation, and coevaluation. For freshwater researchers and managers and their collaborators, paying attention to these phases and the ethical dilemmas that arise within each phase will support the cocreation of more effective and ethical research-practice through: sensitizing collaborators to the need for reflexivity in research-practice, proposing action research codesign as a method for managing emergent questions and outcomes, and supporting more equitable outcomes for collaborators through an emphasis on coevaluation and collaborative articulation of the links between research outputs and practice outcomes.
C1 [Ayre, Margaret L.] Univ Melbourne, Fac Vet & Agr Sci, Melbourne, Vic, Australia.
   [Wallis, Philip J.] Victorian Catchment Management Council, East Melbourne, Vic, Australia.
   [Daniell, Katherine A.] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT, Australia.
C3 University of Melbourne; Australian National University
RP Ayre, ML (corresponding author), Univ Melbourne, Fac Vet & Agr Sci, Melbourne, Vic, Australia.
RI Daniell, Katherine/L-1669-2019; Ayre, Margaret/AAE-1981-2020
OI Daniell, Katherine/0000-0002-8433-1012; Ayre,
   Margaret/0000-0001-7909-7391
CR Addelson KathrynPyne., 1994, Moral Passages: Toward a Collectivist Moral Theory
   Allen W, 2011, NEW ZEAL J MAR FRESH, V45, P525, DOI 10.1080/00288330.2011.592197
   [Anonymous], 1986, Becoming critical: Education, knowledge, and action research
   [Anonymous], 2014, International Journal of Systems and Society, DOI DOI 10.4018/IJSS.2014070101
   [Anonymous], P 32 HYDR WAT RES S
   [Anonymous], 2013, PUBLIC REASON
   Armitage D, 2011, GLOBAL ENVIRON CHANG, V21, P995, DOI 10.1016/j.gloenvcha.2011.04.006
   Ayre M, 2016, AUSTRALAS J WAT RESO, V20, P39, DOI 10.1080/13241583.2016.1162763
   Ayre M, 2015, ENVIRON SCI POLICY, V47, P18, DOI 10.1016/j.envsci.2014.10.011
   Ayre ML, 2017, ECOL SOC, V22, DOI [10.5751/ES-09256-220301, 10.5751/es-09256-220301]
   Barreteau O, 2010, ECOL SOC, V15
   Batterbury S, 2014, AUST J ANTHROPOL, V25, P385, DOI 10.1111/taja.12109_6
   Becker H.S., 1986, Doing things together: Selected papers
   Bell E, 2007, BRIT J MANAGE, V18, P63, DOI 10.1111/j.1467-8551.2006.00487.x
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Blackmore C, 2007, ENVIRON SCI POLICY, V10, P493, DOI 10.1016/j.envsci.2007.04.003
   Blackmore C, 2010, SOCIAL LEARNING SYSTEMS AND COMMUNITIES OF PRACTICE, P201, DOI 10.1007/978-1-84996-133-2_12
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   Brugnach M, 2012, ENVIRON SCI POLICY, V15, P60, DOI 10.1016/j.envsci.2011.10.005
   Collins K, 2009, WATER SCI TECHNOL, V59, P687, DOI 10.2166/wst.2009.889
   Creighton J.L., 2005, PUBLIC PARTICIPATION
   Daniell K. A., 2016, DEV IMPROVING BIREGI
   DANIELL KA, 2010, ECOL SOC, V15, DOI DOI 10.5751/ES-03567-150411
   Daniell KA., 2012, Co-Engineering and participatory water management: organisational challenges for water governance, DOI [10.1017/CBO9780511998072, DOI 10.1017/CBO9780511998072]
   De Vries R, 2004, ETHICS BEHAV, V14, P351, DOI 10.1207/s15327019eb1404_6
   Dewulf A, 2007, ECOL SOC, V12
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Dionnet M, 2013, ECOL SOC, V18, DOI 10.5751/ES-05244-180136
   Ellis C., 2000, HDB QUALITATIVE RES, V2nd, DOI DOI 10.1111/J.1365-2648.2001.0472A.X
   Ellis C, 2007, QUAL INQ, V13, P3, DOI 10.1177/1077800406294947
   Farms Rivers and Markets Project, 2012, FARMS RIV MARK DOING, DOI [10.13140/RG.2.1.2122.9920, DOI 10.13140/RG.2.1.2122.9920]
   Farquharson RJ, 2017, WATER ECON POLICY, V3, DOI 10.1142/S2382624X16500399
   Fenemor A, 2011, NEW ZEAL J MAR FRESH, V45, P313, DOI 10.1080/00288330.2011.593529
   Griggs D, 2014, ECOL SOC, V19, DOI 10.5751/ES-07082-190449
   Groenfeldt D, 2013, EARTHSCAN WATER TEXT, P1
   Groenfeldt D, 2013, ECOL SOC, V18, DOI 10.5751/ES-04629-180114
   Guillemin M, 2004, QUAL INQ, V10, P261, DOI 10.1177/1077800403262360
   Hare M, 2011, ENVIRON POLICY GOV, V21, P386, DOI 10.1002/eet.590
   Hassenforder E, 2015, J ENVIRON MANAGE, V157, P84, DOI 10.1016/j.jenvman.2015.04.012
   Heron J., 2001, HDB ACTION RES, P144, DOI DOI 10.4135/9781473921290.N25
   Hoverman S, 2012, J HYDROL, V474, P47, DOI 10.1016/j.jhydrol.2012.03.005
   Islands Northern Territory Australia, J HYDROL, V474, P47, DOI [10.1016/j.jhydrol.2012.03.005, DOI 10.1016/J.JHYDROL.2012.03.005]
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Ison R. L., 2004, SLIM SOCIAL LEARNIN
   Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008
   Ison R, 2013, ECOL ECON, V87, P34, DOI 10.1016/j.ecolecon.2012.12.016
   Ison RL, 2015, ENVIRON SCI POLICY, V53, P105, DOI 10.1016/j.envsci.2014.11.002
   Jackson S, 2006, AUST GEOGR, V37, P19, DOI 10.1080/00049180500511947
   Jackson S, 2012, J HYDROL, V474, P57, DOI 10.1016/j.jhydrol.2011.12.015
   Jones NA, 2009, ENVIRON MANAGE, V44, P1180, DOI 10.1007/s00267-009-9391-8
   Kilvington M, 2011, NEW ZEAL J MAR FRESH, V45, P541, DOI 10.1080/00288330.2011.593182
   Kilvington M, 2011, NEW ZEAL J MAR FRESH, V45, P557, DOI 10.1080/00288330.2011.593528
   Kovach Margaret., 2015, RES RESISTANCE REVIS, VSecond, P43
   Lach D., 2005, International Journal of Water, V3, P1, DOI 10.1504/IJW.2005.007156
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Latour B., 1994, Science in Action: How to Follow Scientists and Engineers through Society, V3, P29
   Lukasiewicz A., 2017, Natural resources and environmental justice: Australian perspectives
   Mackenzie J, 2012, J HYDROL, V474, P11, DOI 10.1016/j.jhydrol.2012.09.008
   Midgley G., 2000, SYSTEMIC INTERVENTIO
   Mostert E, 2007, ECOL SOC, V12
   Orlove B, 2010, ANNU REV ANTHROPOL, V39, P401, DOI 10.1146/annurev.anthro.012809.105045
   Pahl-Wostl C, 2010, ENVIRON SCI POLICY, V13, P571, DOI 10.1016/j.envsci.2010.09.004
   Paschen JA, 2015, ENVIRON PLANN C, V33, P1394, DOI 10.1068/c13321
   Patterson JJ, 2013, WATER ALTERN, V6, P293
   Patton M.Q., 2011, DEV EVALUATION APPL
   Plummer R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04952-170311
   Pohl C, 2010, SCI PUBL POLICY, V37, P267, DOI 10.3152/030234210X496628
   Pradhan R., 2003, Water Nepal, V9/, P37, DOI [10.3126/wn.v10i1.93, DOI 10.3126/WN.V10I1.93]
   Ribarova I, 2011, J ENVIRON PLANN MAN, V54, P283, DOI 10.1080/09640568.2010.506074
   Rubenstein N, 2016, WATER ALTERN, V9, P81
   Schmidt JJ, 2014, WIRES WATER, V1, P533, DOI 10.1002/wat2.1043
   Schmidt JJ, 2014, WATER RESOUR MANAG, V28, P1127, DOI 10.1007/s11269-014-0544-z
   Schon D. A., 2017, REFLECTIVE PRACTITIO
   SELIGMAN C, 1994, J SOC ISSUES, V50, P105, DOI 10.1111/j.1540-4560.1994.tb02422.x
   Shove E, 2010, RES POLICY, V39, P471, DOI 10.1016/j.respol.2010.01.019
   Sofoulis Z, 2013, WATER RESOUR MANAG, V27, P949, DOI 10.1007/s11269-012-0224-9
   Steyaert P, 2007, ENVIRON SCI POLICY, V10, P575, DOI 10.1016/j.envsci.2007.01.011
   Syme GJ, 2008, WATER POLICY, V10, P323, DOI 10.2166/wp.2008.152
   SYME GJ, 1994, EVALUATION REV, V18, P523, DOI 10.1177/0193841X9401800501
   Tan P.-L., 2008, Collaborative Water Planning: Context and Practice Literature Review, V1
   Taylor KS, 2016, AUSTRALAS J WAT RESO, V20, P132, DOI 10.1080/13241583.2017.1348887
   Verran H, 2002, SOC STUD SCI, V32, P729, DOI 10.1177/030631270203200506
   von Korff Y, 2012, ECOL SOC, V17, DOI 10.5751/ES-04733-170130
   von Korff Y, 2010, ECOL SOC, V15
   Wallis PJ, 2017, GEOFORUM, V84, P42, DOI 10.1016/j.geoforum.2017.06.002
   Wenger E., 1998, Communities of Practice: Learning, Meaning, and Identity, DOI DOI 10.1017/CBO9780511803932
   Whiteley J., 2008, WATER PLACE AND EQUI, DOI [10.7551/mitpress/9780262232715.001.0001, DOI 10.7551/MITPRESS/9780262232715.001.0001]
   Wiering M, 2010, WATER RESOUR MANAG, V24, P2647, DOI 10.1007/s11269-009-9572-5
   Wyborn CA, 2015, ECOL SOC, V20, DOI 10.5751/ES-06510-200111
NR 89
TC 20
Z9 25
U1 0
U2 22
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 2018
VL 23
IS 1
AR 6
DI 10.5751/ES-09822-230106
PG 16
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA GG1RP
UT WOS:000432464800009
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Chauhan, R
   Datta, A
   Ramanathan, AL
   Adhya, TK
AF Chauhan, Rita
   Datta, Arindam
   Ramanathan, A. L.
   Adhya, Tapan Kumar
TI Whether conversion of mangrove forest to rice cropland is
   environmentally and economically viable?
SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT
LA English
DT Article
DE Mangrove; Rice paddy; Methane; Nitrous oxide; Carbon equivalent
   emission; Economic value
ID NITROUS-OXIDE EMISSION; METHANE EMISSIONS; SEASONAL-VARIATION; TROPICAL
   MANGROVE; EASTERN COAST; ESTUARY; N2O; COMMUNITIES; SEDIMENTS; ECOSYSTEM
AB The diverse habitat of the mangrove ecosystems all over the globe are under continuous threat of conversion for immediate and/or short-term economic benefits. Nonetheless, the emission of climatically relevant greenhouse gases increases with the disturbance of the mangrove sediment - this might undermine the credible reservoir of carbon within the sediment. This article attempts to estimate the environmental (carbon emission) and economic consequences of converting mangrove to cropland (especially rice paddy) based on field-scale study at three different sites (Khola, Gupti and Damra) within the Bhitarkanika mangrove for two consecutive years. The study suggests that the cumulative methane (CH4) emission was significantly higher from the rice paddy (211.3 kg ha(-1)) compared to the mangrove sediment (50.8 kg ha(-1)), while the average nitrous oxide (N2O) emission was significantly higher from the later (2.1 kg ha(-1)). Multivariate statistical analysis suggests that the land use was the prime controlling factor for variation in CH4 and N2O emission. Total carbon equivalent emission (CEETOT) from the rice paddy was significantly higher than mangrove during the study period. The study suggests that the economic value of the mangrove ecosystem was several folds higher than that of the rice paddy. The CEETOT of the Bhitarkanika mangrove has increased approximately 212 Gg over last few decades due to the conversion of the mangrove area to the rice paddy. Such studies are imperative in developing effective regional climate change adaptation strategies. The study advocates urgent need to educate and aware people about the benefits of the mangrove compared to the cropland.
C1 [Chauhan, Rita; Ramanathan, A. L.] Jawaharlal Nehru Univ, Sch Environm Sci, New Delhi 110067, India.
   [Chauhan, Rita] Indira Gandhi Natl Open Univ, New Delhi 110068, India.
   [Datta, Arindam] Energy & Resources Inst, Ctr Environm Studies, Earth Sci & Climate Change Div, New Delhi 110003, India.
   [Adhya, Tapan Kumar] Natl Rice Res Inst, Soil Sci & Microbiol Lab, Crop Prod Div, Cuttack 753006, Orissa, India.
   [Adhya, Tapan Kumar] KIIT Univ, Sch Biotechnol, Bhubaneswar 751024, Orissa, India.
C3 Jawaharlal Nehru University, New Delhi; TERI University; Indian Council
   of Agricultural Research (ICAR); ICAR - National Rice Research
   Institute; Kalinga Institute of Industrial Technology (KIIT)
RP Datta, A (corresponding author), Energy & Resources Inst, Ctr Environm Studies, Earth Sci & Climate Change Div, New Delhi 110003, India.
EM tataidatta@gmail.com
RI ADHYA, TAPAN/H-4525-2011; AL, Ramanathan/E-7217-2012
OI AL, Ramanathan/0000-0002-3491-2273
FU Council of Scientific and Industrial Research (CSIR), Govt. of India
FX We thank the Principal Chief Conservator of Forests, Govt. of Odisha,
   and Divisional Forest Officer, Mangrove Forest Division, Rajnagar for
   granting permission to enter and conduct sampling in the Bhitarkanika
   national park. Authors are also thankful to the Director, National Rice
   Research Institute, Cuttack for allowing to undertake the research work.
   R. Chauhan was supported by research fellowship from Council of
   Scientific and Industrial Research (CSIR), Govt. of India.
CR Abeysinghe PD, 2010, INDIAN J PHARM SCI, V72, P167, DOI 10.4103/0250-474X.65019
   ADHYA TK, 1994, BIOL FERT SOILS, V18, P245, DOI 10.1007/BF00647675
   Adhya TK, 2000, NUTR CYCL AGROECOSYS, V58, P95, DOI 10.1023/A:1009886317629
   Allen D, 2011, PLANT BIOLOGY, V13, P126, DOI 10.1111/j.1438-8677.2010.00331.x
   Allen DE, 2007, SOIL BIOL BIOCHEM, V39, P622, DOI 10.1016/j.soilbio.2006.09.013
   Alongi DM, 2002, ENVIRON CONSERV, V29, P331, DOI 10.1017/S0376892902000231
   [Anonymous], 2000, Adv. Agron
   [Anonymous], MANGR FLOR BHIT
   [Anonymous], 2007, CLIMATE CHANGE 2007
   Badola R, 2003, VALUATION BHITARKANI, P101
   Badola R, 2012, ESTUAR COAST SHELF S, V96, P188, DOI 10.1016/j.ecss.2011.11.016
   Barbier EB, 2014, NATURE, V515, P32, DOI 10.1038/515032a
   BARTLETT KB, 1987, BIOGEOCHEMISTRY, V4, P183, DOI 10.1007/BF02187365
   Biswas H, 2007, J MARINE SYST, V68, P55, DOI 10.1016/j.jmarsys.2006.11.001
   Bouillon S., 2008, CYCLES, V22
   Chauhan R, 2015, ATMOS ENVIRON, V107, P95, DOI 10.1016/j.atmosenv.2015.02.006
   Chen GC, 2012, SOIL BIOL BIOCHEM, V48, P175, DOI 10.1016/j.soilbio.2012.01.029
   Conrad R, 1995, ADV MICROB ECOL, V14, P207
   Corredor JE, 1999, MAR POLLUT BULL, V38, P473, DOI 10.1016/S0025-326X(98)00172-6
   Das S, 2011, CHEMOSPHERE, V84, P54, DOI 10.1016/j.chemosphere.2011.02.055
   Datta A, 2014, ATMOS ENVIRON, V92, P533, DOI 10.1016/j.atmosenv.2014.04.009
   Datta A, 2013, ATMOS ENVIRON, V66, P114, DOI 10.1016/j.atmosenv.2012.06.008
   Datta A., 2012, Greenhouse Gas Measurement and Management, V2, P43, DOI 10.1080/20430779.2012.699771
   Datta A, 2011, MITIG ADAPT STRAT GL, V16, P597, DOI 10.1007/s11027-011-9284-z
   Donato DC, 2011, NAT GEOSCI, V4, P293, DOI [10.1038/NGEO1123, 10.1038/ngeo1123]
   Environmental Protection Agency (EPA), 2010, METH NITR OX EM NAT
   F.S.I. [Forest Survey of India], 2013, STAT FOR REP
   Ghani A., 2006, EC VALUATION ECOSYST
   Holtan-Hartwig L, 2002, SOIL BIOL BIOCHEM, V34, P1797, DOI 10.1016/S0038-0717(02)00169-4
   Hussain SA, 2010, WETL ECOL MANAG, V18, P321, DOI 10.1007/s11273-009-9173-3
   Kairo J. G., 2009, Journal of Sustainable Forestry, V28, P395, DOI 10.1080/10549810902791523
   Khan M.A., 2013, J ENV ENG ECOL SCI, V2, P5, DOI DOI 10.7243/2050-1323-2-5
   Kishida N, 2004, WATER SCI TECHNOL, V49, P359, DOI 10.2166/wst.2004.0775
   Konnerup D, 2014, ESTUAR COAST SHELF S, V140, P43, DOI 10.1016/j.ecss.2014.01.006
   Kreuzwieser J, 2003, PLANT BIOLOGY, V5, P423, DOI 10.1055/s-2003-42712
   Kristensen E., 2007, TATEDA, V61-78
   Krupadam RJ, 2007, ATMOS ENVIRON, V41, P4819, DOI 10.1016/j.atmosenv.2007.02.023
   Kustanti A., 2011, EC AN MANGR FOR CAS
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   LEE SY, 1995, HYDROBIOLOGIA, V295, P203, DOI 10.1007/BF00029127
   Linto N, 2014, ESTUAR COAST, V37, P381, DOI 10.1007/s12237-013-9674-4
   Lyimo T.J., 2002, Western Indian Ocean J. Mar. Sci, V1, P71
   Mishra P. K., 2005, Lyonia, V8, P73
   Moore FC, 2015, NAT CLIM CHANGE, V5, P127, DOI [10.1038/NCLIMATE2481, 10.1038/nclimate2481]
   Mosier A, 1998, NUTR CYCL AGROECOSYS, V52, P225, DOI 10.1023/A:1009740530221
   Murray RH, 2015, GLOBAL CHANGE BIOL, V21, P3219, DOI 10.1111/gcb.12923
   Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659
   NSSO, 2012, 558681022 NSSO
   Pendleton L, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043542
   Poffenbarger HJ, 2011, WETLANDS, V31, P831, DOI 10.1007/s13157-011-0197-0
   Purvaja R, 2001, ENVIRON MANAGE, V27, P547, DOI 10.1007/s002670010169
   Ramsar sites IUCN and UNEP-WCMC, 2014, WORLD DAT PROT AR WD
   Reddy CS, 2007, CURR SCI INDIA, V92, P1409
   Robertson GP, 2000, SCIENCE, V289, P1922, DOI 10.1126/science.289.5486.1922
   Ruitenbeek H. J, 1992, EMDI ENV REPORTS
   Sathirathai S., 1995, EC VALUATION MANGROV
   Siikamäki J, 2012, P NATL ACAD SCI USA, V109, P14369, DOI 10.1073/pnas.1200519109
   [Solomon S. IPCC IPCC], 2007, CLIMATE CHANGE 2007
   Spurgeon J, 2002, CONSERVATION SUSTAIN
   UNEP/GPA, 2003, EC VAL ALT US MANGR
   UNESCO, 2009, BHIT CONS AR
   Upadhyay V. P., 2014, Proceedings of the Indian National Science Academy, V80, P647
   World bank, 2016, GNI CAP PPP
   Yao S-T., 2002, P SUGI 27 ORL FLOR A, V27
NR 64
TC 9
Z9 10
U1 6
U2 48
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 AUG 1
PY 2017
VL 246
BP 38
EP 47
DI 10.1016/j.agee.2017.05.010
PG 10
WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Environmental Sciences & Ecology
GA FB2KP
UT WOS:000405973000005
DA 2025-01-10
ER

PT J
AU Halofsky, JE
   Warziniack, TW
   Peterson, DL
   Ho, JJ
AF Halofsky, Jessica E.
   Warziniack, Travis W.
   Peterson, David L.
   Ho, Joanne J.
TI Understanding and Managing the Effects of Climate Change on Ecosystem
   Services in the Rocky Mountains
SO MOUNTAIN RESEARCH AND DEVELOPMENT
LA English
DT Article
DE Adaptation; ecosystem management; mountain ecosystems; vulnerability
   assessment; USA; Sustainable Development Goals; Agenda 2030
ID CHANGE IMPACTS; RANGELANDS; WILDFIRE; FORESTS; ADAPTATION; MANAGEMENT;
   WATER; FIRE
AB Public lands in the US Rocky Mountains provide critical ecosystem services, especially to rural communities that rely on these lands for fuel, food, water, and recreation. Climate change will likely affect the ability of these lands to provide ecosystem services. We describe 2 efforts to assess climate change vulnerabilities and develop adaptation options on federal lands in the Rocky Mountains. We specifically focus on aspects that affect community economic security and livelihood security, including water quality and quantity, timber, livestock grazing, and recreation. Headwaters of the Rocky Mountains serve as the primary source of water for large populations, and these headwaters are located primarily on public land. Thus, federal agencies will play a key role in helping to protect water quantity and quality by promoting watershed function and water conservation. Although increased temperatures and atmospheric concentration of CO2 have the potential to increase timber and forage production in the Rocky Mountains, those gains may be offset by wildfires, droughts, insect outbreaks, non-native species, and altered species composition. Our assessment identified ways in which federal land managers can help sustain forest and range productivity, primarily by increasing ecosystem resilience and minimizing current stressors, such as invasive species. Climate change will likely increase recreation participation. However, recreation managers will need more flexibility to adjust practices, provide recreation opportunities, and sustain economic benefits to communities. Federal agencies are now transitioning from the planning phase of climate change adaptation to implementation to ensure that ecosystem services will continue to be provided from federal lands in a changing climate.
C1 [Halofsky, Jessica E.; Ho, Joanne J.] Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
   [Warziniack, Travis W.] US Forest Serv, Rocky Mt Res Stn, 240 West Prospect Rd, Ft Collins, CO 80526 USA.
   [Peterson, David L.] US Forest Serv, Pacific Northwest Res Stn, 400 N 34th St, Seattle, WA 98103 USA.
C3 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 Halofsky, JE (corresponding author), Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
EM jhalo@uw.edu
RI Warziniack, Travis/JXL-2826-2024
OI Warziniack, Travis/0000-0002-9431-2288
FU US Forest Service Office of Sustainability and Climate
FX These projects were supported with funding from the US Forest Service
   Office of Sustainability and Climate. This is a contribution of the
   Western Mountain Initiative.
CR [Anonymous], 2017, SUSTAINABLE DEV GOAL
   [Anonymous], 2005, Ecosystems and human well-being: Desertification synthesis
   Aston IW, 2010, NPSROMNNPR2010220
   Bachelet D., 2001, MC1: A dynamic vegetation model for estimating the distribution of vegetation and associated carbon, nutrients, and water
   Barbero R, 2015, INT J WILDLAND FIRE, V24, P892, DOI 10.1071/WF15083
   Benda L, 2003, FOREST ECOL MANAG, V178, P105, DOI 10.1016/S0378-1127(03)00056-2
   Bentz BJ, 2010, BIOSCIENCE, V60, P602, DOI 10.1525/bio.2010.60.8.6
   Bowker J. M., 2012, General Technical Report - Southern Research Station, USDA Forest Service
   Bowker JM, 2014, CLIMATE CHANGE ADAPTATION AND MITIGATION MANAGEMENT OPTIONS: A GUIDE FOR NATURAL RESOURCE MANAGERS IN SOUTHERN FOREST ECOSYSTEMS, P421
   Briske DD, 2015, FRONT ECOL ENVIRON, V13, P249, DOI 10.1890/140266
   Chambers JC, 2007, ECOL MONOGR, V77, P117, DOI 10.1890/05-1991
   Coombs JS, 2013, HYDROL PROCESS, V27, P3842, DOI 10.1002/hyp.9508
   Dymond CC, 2014, CAN J FOREST RES, V44, P1196, DOI 10.1139/cjfr-2014-0146
   English D.B.K., 2001, Forest Service national Visitor Use Monitoring Process: Research Method Documentation
   Garcia-Gonzalo J, 2007, ECOL MODEL, V209, P220, DOI 10.1016/j.ecolmodel.2007.06.021
   GROFFMAN P.M., 2014, CLIMATE CHANGE IMPAC, P195, DOI DOI 10.7930/J0TD9V7H
   Halofsky J.E., 2015, Climate Change Adaptation in United States Federal Natural Resource Science and -Management Agencies: A Synthesis
   Halofsky JE, 2018, CLIMATIC CHANGE, V146, P89, DOI 10.1007/s10584-017-1972-6
   Halofsky JE, 2016, ATMOSPHERE-BASEL, V7, DOI 10.3390/atmos7030046
   Hand MS, 2018, ADV GLOB CHANGE RES, V63, P169, DOI 10.1007/978-3-319-56928-4_9
   Holechek J. L., 2001, Rangelands, V23, P17
   HOLECHEK JL, 1994, SOUTHWEST NAT, V39, P342
   Irland Lloyd C., 2001, Bioscience, V51, P753, DOI 10.1641/0006-3568(2001)051[0753:ASIOCC]2.0.CO;2
   Isaak DJ, 2016, P NATL ACAD SCI USA, V113, P4374, DOI 10.1073/pnas.1522429113
   Izaurralde RC, 2011, AGRON J, V103, P371, DOI 10.2134/agronj2010.0304
   Jarvis J, 2011, CALL ACTION PREPARIN
   Jones R, 2013, MITIG ADAPT STRAT GL, V18, P731, DOI 10.1007/s11027-012-9385-3
   Joyce LA, 2018, ADV GLOB CHANGE RES, V63, P17, DOI 10.1007/978-3-319-56928-4_2
   Karl T. R., 2009, Global climate change impacts in the United States
   Keane RE, 2018, ADV GLOB CHANGE RES, V63, P59, DOI 10.1007/978-3-319-56928-4_5
   Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483
   Lin DL, 2010, NEW PHYTOL, V188, P187, DOI 10.1111/j.1469-8137.2010.03347.x
   Littell J.S., 2013, CLIMATE CHANGE NW IM, P110
   Littell JS, 2016, GLOBAL CHANGE BIOL, V22, P2353, DOI 10.1111/gcb.13275
   Loehman RA, 2018, ADV GLOB CHANGE RES, V63, P115, DOI 10.1007/978-3-319-56928-4_7
   Loomis J., 2004, IMPACT CLIMATE CHANG, P289
   Luce CH, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL039407
   Luce CH, 2018, ADV GLOB CHANGE RES, V63, P25, DOI 10.1007/978-3-319-56928-4_3
   Luce CH, 2014, WATER RESOUR RES, V50, P9447, DOI 10.1002/2013WR014844
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   McIver CP, 2013, RESOURCE B USDA
   Mendelsohn R., 2004, IMPACT CLIMATE CHANG, P267
   Montoya JM, 2010, PHILOS T R SOC B, V365, P2013, DOI 10.1098/rstb.2010.0114
   Mooney H, 2009, CURR OPIN ENV SUST, V1, P46, DOI 10.1016/j.cosust.2009.07.006
   Office President United States, 2015, M1601 OFF PRES US
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   Polley HW, 2013, RANGELAND ECOL MANAG, V66, P493, DOI 10.2111/REM-D-12-00068.1
   Reeves MC, 2018, ADV GLOB CHANGE RES, V63, P97, DOI 10.1007/978-3-319-56928-4_6
   Reeves MC, 2014, CLIMATIC CHANGE, V126, P429, DOI 10.1007/s10584-014-1235-8
   Resnik J., 2006, Rangelands, V28, P4, DOI [10.2111/1551-501X(2006)28[4:OSWP]2.0.CO;2, DOI 10.2111/1551-501X(2006)28[4:OSWP]2.0.CO;2]
   Rocca ME, 2014, FOREST ECOL MANAG, V327, P290, DOI 10.1016/j.foreco.2014.04.005
   Scott D, 2007, TOURISM MANAGE, V28, P570, DOI 10.1016/j.tourman.2006.04.020
   Seidl R, 2016, J APPL ECOL, V53, P120, DOI 10.1111/1365-2664.12511
   Skog KE, 2012, FPL207 USDA FOR SERV
   Stocker T. F, WORKING GROUP 1 CONT
   Swanston CW, 2012, NRS87 USDA FOR SERV
   US GAO [US Government Accountability Office], 2005, GAO05869
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Vose J.M., 2016, WO93B USDA FOR SERV
   Warziniack T, 2018, ADV GLOB CHANGE RES, V63, P189, DOI 10.1007/978-3-319-56928-4_10
   Weber B.A., 2012, CHOICES, V27, DOI https://doi.org/10.22004/ag.econ.122803
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
NR 62
TC 12
Z9 13
U1 3
U2 56
PU INT MOUNTAIN SOC
PI BERN
PA STEIGERHUBELSTR 3, BERN, SWITZERLAND
SN 0276-4741
EI 1994-7151
J9 MT RES DEV
JI Mt. Res. Dev.
PD AUG
PY 2017
VL 37
IS 3
BP 340
EP 352
DI 10.1659/MRD-JOURNAL-D-16-00087.1
PG 13
WC Environmental Sciences; Geography, Physical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography
GA FI2XB
UT WOS:000411812900010
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Maleksaeidi, H
   Karami, E
   Zamani, GH
   Rezaei-Moghaddam, K
   Hayati, D
   Masoudi, M
AF Maleksaeidi, Hamideh
   Karami, Ezatollah
   Zamani, Gholam Hossein
   Rezaei-Moghaddam, Kourosh
   Hayati, Dariush
   Masoudi, Masoud
TI Discovering and characterizing farm households' resilience under water
   scarcity
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Resilience; Farm household; Knowledge management; Water scarcity;
   Parishan wetland; Iran
ID CLIMATE-CHANGE ADAPTATION; ADAPTIVE CAPACITY; 5-FACTOR MODEL;
   MANAGEMENT; VULNERABILITY; PERSONALITY; EDUCATION; IMPACT
AB Water scarcity at an alarming rate has been a limiting factor for sustainable agriculture in arid and semi-arid environments of the world. It has resulted in a number of problems such as poverty and food insecurity among farm households. Therefore, building and improving resilience, as a way to mitigate the impacts of water scarcity, is important for farm households. But one of the significant steps for planning to improve farm households' resilience under water scarcity is investigation of the current level of resilience of these households and understanding their variances. Therefore, this study offers a classification of farm households' diversity based on resilience. Primary data were collected from 260 randomly selected farm households in 21 villages around Parishan wetland, Iran. Farm Household Resilience Scale was used to measure resilience. Cluster analysis suggested three groups: highly, medium-, and low-resilient farm households. The results of comparing three groups revealed that highly resilient farm households characterize with higher risk management, more agricultural water security, more positive psychological traits, and better knowledge management. Also, they had better water quality, attended more agricultural extension activities, and used modern irrigation systems. Farm households' resilience map using GIS software illustrated that there is a relationship between resilience and farm location from the wetland. The findings of this study could be used by planner and policy-makers to improve farm households' resilience in arid and semi-arid environments. Improvement in knowledge management system is recommended as one of the most effective policy instruments in building resilience.
C1 [Maleksaeidi, Hamideh; Karami, Ezatollah; Zamani, Gholam Hossein; Rezaei-Moghaddam, Kourosh; Hayati, Dariush] Shiraz Univ, Coll Agr, Dept Agr Extens & Educ, Shiraz 7144165186, Iran.
   [Masoudi, Masoud] Shiraz Univ, Coll Agr, Dept Nat Resources & Environm, Shiraz 7144165186, Iran.
C3 Shiraz University; Shiraz University
RP Karami, E (corresponding author), Shiraz Univ, Coll Agr, Dept Agr Extens & Educ, Shiraz 7144165186, Iran.
EM hmsaidi87@gmail.com; ekarami@shirazu.ac.ir; zamani@shirazu.ac.ir;
   rezaei@shirazu.ac.ir; hayati@shirazu.ac.ir; masoudi@shirazu.ac.ir
RI Hayati, Dariush/AAE-5763-2021; Karami, Ezatollah/AAD-9535-2021;
   Maleksaeidi, Hamideh/AAA-8471-2021
OI Rezaei-Moghaddam, Kurosh/0000-0003-2661-453X; Hayati,
   Dariush/0000-0002-1420-6187
FU National Elites Foundation, Iran [BN025]
FX This research was supported by a grant (no. BN025) from National Elites
   Foundation, Iran. The authors would also like to thank Fatemeh Sheidaei
   and Raha zarei, former graduates of the Shiraz university for their
   valuable contributions during the data collection for this study.
CR Abdolmaleky M., 2012, World Applied Sciences Journal, V19, P523
   Abedi M, 2011, AFR J BUS MANAGE, V5, P6579
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   Ahmadvand M, 2011, ENVIRON IMPACT ASSES, V31, P8, DOI 10.1016/j.eiar.2010.06.004
   [Anonymous], 2019, This is what its all about: Boosting Renewable Energy in Africa
   [Anonymous], 1985, ECOL NAT DISTURB PAT, DOI DOI 10.1016/B978-0-12-554520-4.50006-X
   [Anonymous], THESIS CARNEGIE MELL
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 2003, Navigating social-ecological systems: Building resilience for complexity and change
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], 1992, Revised NEO Personality Inventory (NEO PI R) and NEO Five Factor Inventory (NEO FFI). Professional manual
   [Anonymous], RESPONDING EXTERNAL
   [Anonymous], 2003, NAVIGATING SOCIAL EC, DOI DOI 10.1017/CBO9780511541957
   Aref A, 2011, LIFE SCI J, V8, P498
   Barton W. H., 2007, HDB WORKING CHILDREN
   Borg W.R., 1989, Educational Research: An Introduction
   Bruijn K. M. de, 2004, Water Policy, V6, P53
   Busapathumrong P, 2013, J SOC WORK DISABIL R, V12, P67, DOI 10.1080/1536710X.2013.784176
   Campbell-Sills L, 2006, BEHAV RES THER, V44, P585, DOI 10.1016/j.brat.2005.05.001
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Castillo G.E., 2007, Water for food, water for life: A comprehensive assessment of water management in agriculture
   Chambers R., 2009, Climate Vulnerability and Capacity Analysis
   Ciani Federico., 2012, A resilience-based approach to food insecurity: the impact of Mitch hurricane in rural households in Nicaragua
   Cimellaro GP, 2010, ENG STRUCT, V32, P3639, DOI 10.1016/j.engstruct.2010.08.008
   Daneshpour Z. A., 2012, 16 INT C URB PLANN R
   Elasha B.O., 2005, Sustainable livelihood approach for assessing community resilience to climate change: Case studies from Sudan
   Evely A. C., 2012, WORKING PAPER SERIES, V2
   Fayombo G., 2010, International Journal of Psychological Studies, V2, P105, DOI [10.5539/ijps.v2n2p105, DOI 10.5539/IJPS.V2N2P105]
   Fenwick C., 2010, Ph.D. Thesis
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Forouzani M, 2011, AGRON SUSTAIN DEV, V31, P415, DOI 10.1051/agro/2010026
   Frankenberg E, 2013, ECOL SOC, V18, DOI 10.5751/ES-05377-180216
   Fu Qiang, 2008, International Journal of Agricultural and Biological Engineering, V1, P8, DOI 10.3965/j.issn.1934-6344.2008.02.008-014
   Godwin I., 2013, Developing Country Studies, V3, P104
   Gómez-Baggethun E, 2013, ECOL SOC, V18, DOI 10.5751/ES-06288-180472
   Gong L., 2013, FOOD AGR ENV, V11, P2521
   Groot W, 2000, J HEALTH ECON, V19, P403, DOI 10.1016/S0167-6296(99)00037-5
   Gunderson L.H., 2001, Panarchy: understanding transformations in human and natural systems
   Hayes J., 2012, HAITI WATER POVERTY
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Huigen MGA, 2006, WORLD DEV, V34, P2116, DOI 10.1016/j.worlddev.2006.03.006
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Kaklauskas A, 2009, INT J STRATEG PROP M, V13, P117, DOI 10.3846/1648-715X.2009.13.117-128
   Karami E, 2006, AGR SYST, V87, P101, DOI 10.1016/j.agsy.2005.01.001
   Keshavarz M., 2010, American-Eurasian Journal of Agricultural and Environmental Science, V7, P415
   Keshavarz M., 2013, J SOIL SCI ENV MANAG, V3, P63, DOI [10.5897/JSSEM12.013, DOI 10.5897/JSSEM12.013]
   Keshavarz M, 2013, LAND USE POLICY, V30, P120, DOI 10.1016/j.landusepol.2012.03.003
   Kim JW, 2013, COMPR PSYCHIAT, V54, P1105, DOI 10.1016/j.comppsych.2013.05.005
   Kiyanoush Ghalavand Kiyanoush Ghalavand, 2012, International Journal of Agriculture and Crop Sciences (IJACS), V4, P831
   Kulig JC, 2008, J RURAL COMMUNITY D, V3, P76
   Kumpfer K.L., 1985, J CHILDREN CONT SOC, V3, P117
   Lamb S. H., 2009, THESIS U FREE STATE
   Langridge R, 2006, ECOL SOC, V11
   Layes A, 2012, SOC SCI MED, V75, P1, DOI 10.1016/j.socscimed.2011.10.030
   Maleksaeidi H., 2013, AGROECOL SUST FOOD, V37, P1
   Maleksaeidi H, 2015, MITIG ADAPT STRAT GL, V20, P1305, DOI 10.1007/s11027-014-9546-7
   Marcus B, 2006, INT J SELECT ASSESS, V14, P113, DOI 10.1111/j.1468-2389.2006.00338.x
   May B, 2011, ECOL SOC, V16
   MCCRAE RR, 1992, J PERS, V60, P175, DOI 10.1111/j.1467-6494.1992.tb00970.x
   Mitchell T., 2012, Resilience: A risk management approach
   Mofokeng P. C., 2007, THESIS NOLIH W U
   Mohanty S., 2006, Knowledge management in disaster risk reduction: the Indian approach
   Molle F., 2003, Water Policy, V5, P529
   Morris C., 2002, Psychology: An Introduction, V12th
   Moser M., 2010, CONSERVATION GUIDELI
   Murendo C., 2011, DROUGHT IMPACTS RELA
   Nakaya M., 2006, PSYCHOL REP, V98
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   Noeth A. J., 2004, THESIS U S AFRICA PR
   Nuorteva P, 2010, J WATER CLIM CHANGE, V1, P87, DOI 10.2166/wcc.2010.010
   Olsson P., 2003, THESIS STOCKHOLM U S
   Pathirage C., 2012, KNOWLEDGE SHARING CR
   Renck B, 2002, NORD J PSYCHIAT, V56, P7, DOI 10.1080/08039480252803855
   Romano D., 2010, C PROM RES SOC PROT
   Rosellini A. J., 2011, NEO 5 FACTOR INVENTO
   Rutter M., 1979, Prevention of psychopathology: Vol. 3. Social competence in children, V3, P49
   Satean G., 2010, 4 AS RUR SOC ASS ARS
   Schacter D., 2011, PSYCHOLOGY, P474
   Scheaffer R., 1979, ELEMENTARY SURVEY SA
   Schneider SH, 2001, NATURE, V411, P17, DOI 10.1038/35075167
   Scott Ch A, 2012, ANN ASSOC AM GEOGR, V103, P1
   Setyaningsih S, 2012, PROC ECON FINANC, V4, P286, DOI 10.1016/S2212-5671(12)00343-7
   Shafiezadeh R, 2012, Knowledge & Research in Applied Psychology, V13, P95
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sun YH, 2012, NAT HAZARDS, V60, P865, DOI 10.1007/s11069-011-9873-x
   The Statistical Center of Iran, 2000, STAT CTR IR IR STAT
   Theron L.C. 1., 2004, South African Journal of Education, V24, P317
   Tompkins EL, 2004, ECOL SOC, V9
   UNDP, 2012, CONS IR WETL VIS LAK
   van den Berg H., 2006, Burnout and compassion fatigue in professional nurses: A study in PHC facilities in Free State, with special reference to the antiretroviral treatment programme
   Welsh LW, 2013, ECOL SOC, V18, DOI 10.5751/ES-05484-180207
   Yegbemey RN, 2013, LAND USE POLICY, V34, P168, DOI 10.1016/j.landusepol.2013.03.001
   Zamani G. H., 2009, IRANIAN AGR EXTENSIO, V4, P53
   Ziervogel G, 2010, CLIM DEV, V2, P94, DOI 10.3763/cdev.2010.0036
NR 95
TC 24
Z9 26
U1 5
U2 51
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 APR
PY 2016
VL 18
IS 2
BP 499
EP 525
DI 10.1007/s10668-015-9661-y
PG 27
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 DL1FE
UT WOS:000375377000009
DA 2025-01-10
ER

PT J
AU van Bergeijk, PAG
   Lazzaroni, S
AF van Bergeijk, Peter A. G.
   Lazzaroni, Sara
TI Macroeconomics of Natural Disasters: Strengths and Weaknesses of
   Meta-Analysis Versus Review of Literature
SO RISK ANALYSIS
LA English
DT Article
DE IPCC; macroeconomics; meta-analysis
ID INPUT-OUTPUT MODEL; TORNADO WARNINGS; CLIMATE-CHANGE;
   ECONOMIC-DEVELOPMENT; COPING STRATEGIES; VULNERABILITY; IMPACT; GROWTH;
   EARTHQUAKE; HURRICANES
AB We use the case of the macroeconomic impact of natural disasters to analyze strengths and weaknesses of meta-analysis in an emerging research field. Macroeconomists have published on this issue since 2002 (we identified 60 studies to date). The results of the studies are contradictory and therefore the need to synthesize the available research is evident. Meta-analysis is a useful method in this field. An important aim of our article is to show how one can use the identified methodological characteristics to better understand the robustness and importance of new findings. To provide a comparative perspective, we contrast our meta-analysis and its findings with the major influential research synthesis in the field: the IPCC's 2012 special report Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. We show that the IPCC could have been more confident about the negative economic impact of disasters and more transparent on inclusion and qualification of studies, if it had been complemented by a meta-analysis. Our meta-analysis shows that, controlling for modeling strategies and data set, the impact of disasters is significantly negative. The evidence is strongest for direct costs studies where we see no difference between our larger sample and the studies included in the IPCC report. Direct cost studies and indirect cost studies differ significantly, both in terms of the confidence that can be attached to a negative impact of natural disasters and in terms of the sources of heterogeneity of the findings reported in the primary studies.
C1 [van Bergeijk, Peter A. G.] ISS Erasmus Univ, NL-2581 AX The Hague, Netherlands.
   [Lazzaroni, Sara] Univ Bologna, Dept Econ, I-40126 Bologna, Italy.
C3 University of Bologna
RP van Bergeijk, PAG (corresponding author), ISS Erasmus Univ, Kortenaerkade 12, NL-2581 AX The Hague, Netherlands.
EM bergeijk@iss.nl
RI Lazzaroni, Sara/GLU-8651-2022; Bergeijk, Peter/D-1454-2013
OI Bergeijk, Peter/0000-0002-4098-0483
FU EAERE; Harvard Center for Risk Analysis (HCRA)
FX We thank EAERE and the Harvard Center for Risk Analysis (HCRA) for
   financial support and Lisa A. Robinson and James K. Hammitt and
   participants at the HCRA's October 2013 "Methods for Research Synthesis:
   A Cross-Disciplinary Approach" workshop for their helpful comments.
   Research for this article was conducted when Sara Lazzaroni was a PhD
   student at the Universita Cattolica del Sacro Cuore of Piacenza (Italy);
   financial support from the university is gratefully acknowledged. We
   also would like to thank two anonymous referees, Raymond Florax, and
   professors and participants at the 2013 Belpasso International Summer
   School and the 2013 MAER-Net conference in Greenwich for helpful
   comments. We thank authors of primary studies who kindly replied
   providing the additional data needed for the compilation of the meta
   data set and other valuable insights for our analysis: Jesse
   Anttila-Hughes, Laura Bakkensen, Oscar Becerra, Eduardo Cavallo, Juncal
   Cunado, Tatyana Deryugina, Solomon Hsiang, Matthew Kahn, Carolyn Kousky,
   Norman Loayza, Tom McDermott, Ilan Noy, Roger Pielke Jr., Tobias
   Rasmussen, Bob Reed, Mark Skidmore, Jose Tavares, Dean Yang, Yuki
   Yikeda, and Yanos Zylberberg.
CR Ahlerup P., 2013, U GOTHENBURG WORKING, V553
   Ahmed M., 2009, CARLETON COLL DEP EC, V2009-03
   Albala-Bertrand J., 1993, Political Economy of Large Natural Disasters
   Anbarci N, 2005, J PUBLIC ECON, V89, P1907, DOI 10.1016/j.jpubeco.2004.08.002
   [Anonymous], NAT DIS DIS RISK RED
   [Anonymous], EM DAT OFDA CRED INT
   [Anonymous], CHANGES
   [Anonymous], 2013, DESTRUCTION DI UNPUB
   [Anonymous], 2013, The Global Assessment Report on Disaster Risk Reduction (GAR) 2013
   [Anonymous], 2010, WORLD DIS REP 2010 F
   [Anonymous], 2012, BIS WORKING PAPERS
   [Anonymous], 4952 WORLD BANK
   [Anonymous], 2000, CIT SEAS STORMS MAN
   [Anonymous], 2004, Reducing Disaster Risk: A Challenge for Development
   [Anonymous], 2009, Essentials of Econometrics 4e
   [Anonymous], 2010, NAT HAZ UN NAT DIS E
   [Anonymous], 2010, IDB WORKING PAPER SE
   [Anonymous], 2007, ECON SYST RES, DOI [10.1080/09535310701328435, DOI 10.1080/09535310701328435]
   [Anonymous], 4439 CESIFO
   [Anonymous], 2003, HDB EST SOC ENV EFF
   [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], 43 CID HARV U
   [Anonymous], 2008, NAT HAZARDS
   [Anonymous], WORLD DEV REP 2014 M
   Baker S.R. N. Bloom., 2013, DOES UNCERTAINTY RED
   Benson C., 2004, Understanding the Economic and Financial Impacts of Natural Disasters
   BENSON C, 2000, DISASTER RISK MANAGE, V2
   Benson C., 1998, WORLD BANK TECHNICAL, V401
   Bergholt D, 2012, J PEACE RES, V49, P147, DOI 10.1177/0022343311426167
   Bijmolt THA, 2001, MARKET LETT, V12, P157, DOI 10.1023/A:1011117103381
   Birch EL, 2006, CITY 21ST CENTURY, P1
   Bouwer LM, 2007, SCIENCE, V318, P753, DOI 10.1126/science.1149628
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Burton K., 1993, ENV HAZARD
   Cardona OD, 2010, DISASTERS, V34, P1064, DOI 10.1111/j.1467-7717.2010.01183.x
   Caselli F., 2004, Natural Disasters and Growth: from Thought Experiment to Natural Experiment
   Cashin Paul., 2006, Caribbean: From Vulnerability to Sustained Growth
   Cavallo E, 2013, REV ECON STAT, V95, P1549, DOI 10.1162/REST_a_00413
   Cavallo E, 2010, ECON J, V120, pF298, DOI 10.1111/j.1468-0297.2010.02378.x
   Charveriat C., 2000, Inter-American Development Bank Working Paper 434
   Crowards T., 2000, COMP VULNERABILITY N
   Cummins JD, 2009, CATASTROPHE RISK FINANCING IN DEVELOPING COUNTRIES: PRINCIPLES FOR PUBLIC INTERVENTION, P1, DOI 10.1596/978-0-8213-7736-9
   Cunado J, 2014, LAND ECON, V90, P149, DOI 10.3368/le.90.1.149
   Cuny Fredrick., 1983, DISASTERS DEV
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Czajkowski J, 2011, NAT HAZARDS, V59, P1513, DOI 10.1007/s11069-011-9849-x
   Czajkowski J, 2010, POPUL ENVIRON, V31, P121, DOI 10.1007/s11111-009-0097-x
   Del Ninno C, 2003, WORLD DEV, V31, P1221, DOI 10.1016/S0305-750X(03)00071-8
   Deryugina Tatyana., 2013, SSRN Electronic Journal, DOI DOI 10.2139/SSRN.2314663
   Disdier AC, 2008, REV ECON STAT, V90, P37, DOI 10.1162/rest.90.1.37
   Djankov S, 2002, J ECON LIT, V40, P739, DOI 10.1257/002205102760273788
   Doucouliagos H, 2009, J ECON SURV, V23, P433, DOI 10.1111/j.1467-6419.2008.00568.x
   Escaleras M, 2007, PUBLIC CHOICE, V132, P209, DOI 10.1007/s11127-007-9148-y
   Escaleras M, 2012, PUBLIC CHOICE, V151, P165, DOI 10.1007/s11127-010-9740-4
   Eugenia Ibarraran Maria, 2009, Environment Development and Sustainability, V11, P549, DOI 10.1007/s10668-007-9129-9
   Fankhauser S., 2013, Centre for Climate Change Economics and Policy Working Paper No. 150, Grantham Research Institute on Climate Change and the Environment Working Paper No. 134
   Felbermayr G, 2013, EUR ECON REV, V58, P18, DOI 10.1016/j.euroecorev.2012.11.008
   Ferreira S., 2011, 5725 WORLD BANK
   Fisker P. S., 2012, CREEMA DEV RES WORKI, V01/2012
   FLORAX RJG, 2002, 20020413 TI
   Fomby T, 2013, J APPL ECONOMET, V28, P412, DOI 10.1002/jae.1273
   Ghimire R., 2013, SO AGR EC ASS SAEA A
   Haimes YY, 2005, J INFRASTRUCT SYST, V11, P67, DOI 10.1061/(ASCE)1076-0342(2005)11:2(67)
   Hallegatte S, 2008, RISK ANAL, V28, P779, DOI 10.1111/j.1539-6924.2008.01046.x
   Hallegatte S, 2007, ECOL ECON, V62, P330, DOI 10.1016/j.ecolecon.2006.06.006
   Hallegatte S, 2009, ECOL ECON, V68, P777, DOI 10.1016/j.ecolecon.2008.06.011
   Havránek T, 2010, FINANC UVER, V60, P151
   Hochrainer Stefan., 2009, World Bank Policy Research Working Paper
   Hsiang SM, 2012, CLIM CHANG ECON, V3, DOI 10.1142/S201000781250011X
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Jackson O., 2013, NATURAL DISASTERS FO
   Kahn ME, 2005, REV ECON STAT, V87, P271, DOI 10.1162/0034653053970339
   Keefer P, 2011, WORLD DEV, V39, P1530, DOI 10.1016/j.worlddev.2011.02.010
   Kellenberg DK, 2008, J URBAN ECON, V63, P788, DOI 10.1016/j.jue.2007.05.003
   Kenny C, 2009, Word Bank Policy Research Working Paper, No. 4823.
   Kim C., 2010, MICH J BUS, V41, P15
   Klomp J, 2014, GLOBAL ENVIRON CHANG, V26, P183, DOI 10.1016/j.gloenvcha.2014.02.006
   Lal PN, 2010, PAC ECON BULL, V25, P62
   Loayza NV, 2012, WORLD DEV, V40, P1317, DOI 10.1016/j.worlddev.2012.03.002
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   McDermott T., 2013, OXF EC PAP, P1
   McKenzie E., 2005, EC IMPACT NATURAL DI, V1
   Mebratie AD, 2013, J INT TRADE ECON DEV, V22, P52, DOI 10.1080/09638199.2013.745281
   Mechler Reinhard., 2004, Natural Disaster Risk Management and Financing Disaster Losses in Developing Countries
   Mendelsohn R., 2011, 5562 WORLD BANK
   Meyer KE, 2009, J INT BUS STUD, V40, P1075, DOI 10.1057/jibs.2008.111
   Murlidharan T.L., 2001, P C INT DIS RISK MAN
   Neumayer E, 2014, GLOBAL ENVIRON CHANG, V24, P8, DOI 10.1016/j.gloenvcha.2013.03.011
   Nicholls N, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034499
   Nordhaus WD, 2010, CLIM CHANG ECON, V1, DOI 10.1142/S2010007810000054
   Noy I, 2010, J ASIAN ECON, V21, P345, DOI 10.1016/j.asieco.2010.03.002
   Noy I, 2009, J DEV ECON, V88, P221, DOI 10.1016/j.jdeveco.2008.02.005
   Nualsri, 2007, WORKING PAPERS SANTA
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   Okuyama Y., 2009, 4963 WORLD BANK
   Otero R.C., 1995, Disaster Prevention for Sustainable Development: Economic and Policy Issues, P11
   Owens T, 2003, WORLD DEV, V31, P1239, DOI 10.1016/S0305-750X(03)00068-8
   Patt AG, 2010, P NATL ACAD SCI USA, V107, P1333, DOI 10.1073/pnas.0910253107
   Pelham L., 2011, Natural disasters: what is the role for social safety nets?
   Pelling M.A.z., 2002, Progress in Development Studies, V2, P283, DOI [10.1191/1464993402ps042ra, DOI 10.1191/1464993402PS042RA]
   Pielke RA, 2000, J CLIMATE, V13, P3625, DOI 10.1175/1520-0442(2000)013<3625:PADFTI>2.0.CO;2
   Raddatz C.E., 2009, 5039 WORLD BANK
   Raschky PA, 2008, NAT HAZARD EARTH SYS, V8, P627, DOI 10.5194/nhess-8-627-2008
   Rasmussen T. N., 2004, IMF Working Papers, V04/224
   Rose A, 2005, J REGIONAL SCI, V45, P75, DOI 10.1111/j.0022-4146.2005.00365.x
   Rose A, 1997, J REGIONAL SCI, V37, P437, DOI 10.1111/0022-4146.00063
   Sadowski NC, 2005, SOUTH ECON J, V72, P422, DOI 10.2307/20062119
   Schumacher I, 2011, ECOL ECON, V72, P97, DOI 10.1016/j.ecolecon.2011.09.002
   Simmons KM, 2008, WEATHER FORECAST, V23, P246, DOI 10.1175/2007WAF2006027.1
   Simmons KM, 2009, WEATHER CLIM SOC, V1, P38, DOI 10.1175/2009WCAS1005.1
   Simmons KM, 2005, WEATHER FORECAST, V20, P301, DOI 10.1175/WAF857.1
   Skidmore M, 2002, ECON INQ, V40, P664, DOI 10.1093/ei/40.4.664
   Skoufias E, 2003, WORLD DEV, V31, P1087, DOI 10.1016/S0305-750X(03)00069-X
   Stanley T. D., 2012, Meta-Regression analysis in economics and business
   Strobl E, 2012, J DEV ECON, V97, P130, DOI 10.1016/j.jdeveco.2010.12.002
   Swiss Re, 2010, NATURAL CATASTROPHES
   Tavares J, 2004, J MONETARY ECON, V51, P1039, DOI 10.1016/j.jmoneco.2004.04.009
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tol R., 1999, CLIMATE CHANGE RISK
   Toya H, 2007, ECON LETT, V94, P20, DOI 10.1016/j.econlet.2006.06.020
   Tsuchiya S., 2007, ECON SYST RES, V19, P147, DOI [DOI 10.1080/09535310701328567, 10.1080/09535310701328567]
   UNISDR, 2009, GLOB ASS REP DIS RIS
   Vu T.B., 2010, Asia-Pacific Journal of Social Sciences, P122
   WEST CT, 1994, INT REGIONAL SCI REV, V17, P121, DOI 10.1177/016001769401700201
   Widawsky D.A., 1990, Prioritizing the rice biotechnology research agenda for Eastern India
   Wooster RB, 2010, REV DEV ECON, V14, P640, DOI 10.1111/j.1467-9361.2010.00579.x
   Yamamura E, 2011, 32069 MPRA
   Yamamura E., 2011, EERI RES PAPER SERIE, V10/2011
   Yang D, 2008, BE J ECON ANAL POLI, V8
   [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]
   [No title captured]
NR 149
TC 27
Z9 29
U1 1
U2 32
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
EI 1539-6924
J9 RISK ANAL
JI Risk Anal.
PD JUN
PY 2015
VL 35
IS 6
SI SI
BP 1050
EP 1072
DI 10.1111/risa.12372
PG 23
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA CN0SD
UT WOS:000358122800006
PM 25847486
DA 2025-01-10
ER

PT J
AU Baldos, ULC
   Hertel, TW
AF Baldos, Uris Lantz C.
   Hertel, Thomas W.
TI The role of international trade in managing food security risks from
   climate change
SO FOOD SECURITY
LA English
DT Article
DE Climate change impacts; Food security; Price volatility; International
   trade; Climate change adaptation
ID AGRICULTURAL TRADE; CROP; PRODUCTIVITY; DISTORTIONS; VOLATILITY;
   INSIGHTS; INCREASE; MODEL
AB International trade plays an important role in facilitating global food security in the face of a changing climate. In considering this issue, it is useful to distinguish between two different time scales: inter-annual and inter-decadal. Inter-annual adjustments in international trade can play an important role in shifting supplies from food surplus regions to regions facing food deficits which emerge as a consequence of extreme weather events, civil strife, and/or other disruptions The first section of the paper explores the evidence on increased inter-annual supply side volatility, as well as historical and prospective analyses of adaptation to such volatility and the role international trade can play in mitigating the adverse impacts on food security. In the long run, we expect that the fundamental patterns of comparative advantage will be altered by the changing climate as well as availability of technology and endowments (water for irrigation, labor force, capital stock). In a freely functioning global economy, long run trade patterns will respond to this evolving comparative advantage. However, historical food trade has not been free of obstacles, with both tariff and non-tariff barriers often limiting the adjustment of trade to the changing economic landscape. This section of the paper capitalizes on a newly available library of climate impact results in order to characterize the tails (both optimistic and pessimistic) of this distribution. We then explore the potential for a more freely functioning global trading system to deliver improved long run food security in 2050.
C1 [Baldos, Uris Lantz C.; Hertel, Thomas W.] Purdue Univ, Dept Agr Econ, W Lafayette, IN 47907 USA.
C3 Purdue University System; Purdue University
RP Baldos, ULC (corresponding author), Purdue Univ, Dept Agr Econ, 403 West State St, W Lafayette, IN 47907 USA.
EM ubaldos@purdue.edu
OI Baldos, Uris Lantz C/0000-0003-3893-0839
FU U.S. Department of Energy, Office of Science, Office of Biological and
   Environmental Research, Integrated Assessment Research Program
   [DE-SC005171]; OECD Cooperative Research Programme on Biological
   Resource Management for Sustainable Agricultural Systems
FX The authors acknowledge support for the underlying research into the
   climate-food-energy-land-water nexus from U.S. Department of Energy,
   Office of Science, Office of Biological and Environmental Research,
   Integrated Assessment Research Program, Grant No. DE-SC005171.This paper
   was part of a workshop sponsored by the OECD Cooperative Research
   Programme on Biological Resource Management for Sustainable Agricultural
   Systems.
CR Abbott P.C., 2011, What's Driving Food Prices in 2011? Issue Report
   Ahmed SA, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/034004
   Ahmed SA, 2011, GLOBAL ENVIRON CHANG, V21, P46, DOI 10.1016/j.gloenvcha.2010.10.003
   Anania Giovanni., 2013, Agricultural Export Restrictions and the WTO: What Options Do PolicyMakers Have for Promoting Food Security?
   Anderson K, 2013, J ECON LIT, V51, P423, DOI 10.1257/jel.51.2.423
   Anderson K, 2012, OXFORD REV ECON POL, V28, P235, DOI 10.1093/oxrep/grs001
   [Anonymous], 2013, SSP DAT V 0 93
   [Anonymous], 2014, FAOSTAT
   [Anonymous], 2012, WORLD OIL MARK REP 2
   [Anonymous], 2008, INT EN AG WORLD EN O
   [Anonymous], 2002, CHANGING CLIMATE CHA
   Baldos U. L. C., 2014, Australian Journal of Agricultural and Resource Economics, V58, P554, DOI 10.1111/1467-8489.12048
   Baldos U.L. C., 2013, Environmental Research Letters, V8, P034024, DOI DOI 10.1088/1748-9326/8/3/034024
   Banerjee L, 2007, WORLD DEV, V35, P1989, DOI 10.1016/j.worlddev.2006.11.010
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Burgess R, 2010, AM ECON REV, V100, P449, DOI 10.1257/aer.100.2.449
   Diffenbaugh NS, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030000
   Diffenbaugh NS, 2012, NAT CLIM CHANGE, V2, P514, DOI 10.1038/NCLIMATE1491
   Diffenbaugh NS, 2005, P NATL ACAD SCI USA, V102, P15774, DOI 10.1073/pnas.0506042102
   Disdier AC, 2008, REV ECON STAT, V90, P37, DOI 10.1162/rest.90.1.37
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Elliott J, 2014, P NATL ACAD SCI USA, V111, P3239, DOI 10.1073/pnas.1222474110
   FAO, 2012, FAO FOOD SEC STAT
   FOSTER J, 1984, ECONOMETRICA, V52, P761, DOI 10.2307/1913475
   Fuglie K. O., 2012, Productivity growth in agriculture: an international perspective, DOI [10.1079/9781845939212.0335, 10.1079/9781845939212.0000]
   Hertel TW, 2014, ENERG ECON, V46, P562, DOI 10.1016/j.eneco.2014.04.014
   Hertel TW, 2014, P NATL ACAD SCI USA, V111, P13799, DOI 10.1073/pnas.1403543111
   Hertel TW, 2010, GLOBAL ENVIRON CHANG, V20, P577, DOI 10.1016/j.gloenvcha.2010.07.001
   Hertel TW, 2009, REV DEV ECON, V13, P543, DOI 10.1111/j.1467-9361.2008.00483.x
   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
   Ivanic M, 2008, AGR ECON-BLACKWELL, V39, P405, DOI 10.1111/j.1574-0862.2008.00347.x
   Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005
   Limao N, 2001, WORLD BANK ECON REV, V15, P451, DOI 10.1093/wber/15.3.451
   Lobell DB, 2014, SCIENCE, V344, P516, DOI 10.1126/science.1251423
   Lobell DB, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015012
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Ludena CE, 2007, AGR ECON-BLACKWELL, V37, P1, DOI 10.1111/j.1574-0862.2007.00218.x
   Martin W, 2012, AM J AGR ECON, V94, P422, DOI 10.1093/ajae/aar105
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Müller C, 2014, AGR ECON-BLACKWELL, V45, P37, DOI 10.1111/agec.12088
   Muller C., 2010, CLIAMTE CHANGE IMPAC
   Neiken L., 2003, FAO METHODOLOGY ESTI
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2
   Olmstead AL, 2011, P NATL ACAD SCI USA, V108, P480, DOI 10.1073/pnas.1008279108
   REILLY J, 1994, GLOBAL ENVIRON CHANG, V4, P24, DOI 10.1016/0959-3780(94)90019-1
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   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
   TOBEY J, 1992, J AGR RESOUR ECON, V17, P195
   Verma M, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064028
   Villoria Nelson., 2014, The AgMIP Tool: A GEOSHARE Tool for Aggregating Outputs from the AgMIPs Global Gridded Crop Model Intercomparison Project User's Manual
   WTO General Council, 2014, DEC PUBL STOCKH FOOD
NR 54
TC 88
Z9 96
U1 3
U2 119
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1876-4517
EI 1876-4525
J9 FOOD SECUR
JI Food Secur.
PD APR
PY 2015
VL 7
IS 2
BP 275
EP 290
DI 10.1007/s12571-015-0435-z
PG 16
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Food Science & Technology
GA CF6YG
UT WOS:000352702200010
DA 2025-01-10
ER

PT J
AU Poussin, JK
   Botzen, WJW
   Aerts, JCJH
AF Poussin, Jennifer K.
   Botzen, W. J. Wouter
   Aerts, Jeroen C. J. H.
TI Effectiveness of flood damage mitigation measures: Empirical evidence
   from French flood disasters
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Climate change adaptation; Cost-benefit analysis; Flood damage
   mitigation; Flood preparedness; Survey
ID PRECAUTIONARY MEASURES; STRATEGIES; RESILIENCE; HOUSEHOLDS; INSURANCE
AB Recent destructive flood events and projected increases in flood risks as a result of climate change in many regions around the world demonstrate the importance of improving flood risk management. Flood-proofing of buildings is often advocated as an effective strategy for limiting damage caused by floods. However, few empirical studies have estimated the damage that can be avoided by implementing such flood damage mitigation measures. This study estimates potential damage savings and the cost-effectiveness of specific flood damage mitigation measures that were implemented by households during major flood events in France. For this purpose, data about flood damage experienced and household flood preparedness were collected using a survey of 885 French households in three flood-prone regions that face different flood hazards. Four main conclusions can be drawn from this study. First, using regression analysis results in improved estimates of the effectiveness of mitigation measures than methods used by earlier studies that compare mean damage suffered between households who have, and who have not, taken these measures. Second, this study has provided empirical insights showing that some mitigation measures can substantially reduce damage during floods. Third, the effectiveness of the mitigation measures is very regional dependent, which can be explained by the different characteristics of the flood hazard in our sample areas that experience either slow onset river flooding or more rapid flash and coastal flooding. Fourth, the cost-efficiency of the flood damage mitigation measures depends strongly on the flood probability faced by households. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Poussin, Jennifer K.; Botzen, W. J. Wouter; Aerts, Jeroen C. J. H.] Vrije Univ Amsterdam, Inst Environm Studies IVM, NL-1081 HV Amsterdam, Netherlands.
C3 Vrije Universiteit Amsterdam
RP Poussin, JK (corresponding author), Vrije Univ Amsterdam, Inst Environm Studies IVM, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands.
EM jennifer.poussin@vu.nl; wouter.botzen@vu.nl; jeroen.aerts@vu.nl
RI Aerts, Jeroen/M-8431-2013; Botzen, Wouter/L-3123-2013
OI Botzen, Wouter/0000-0002-8563-4963
FU EU FP7 project ENHANCE
FX This study was partly funded by the EU FP7 project ENHANCE.
CR Aerts JCJH, 2013, ANN NY ACAD SCI, V1294, P1, DOI 10.1111/nyas.12200
   Aerts JCJH, 2014, SCIENCE, V344, P472, DOI 10.1126/science.1248222
   Aerts JCJH, 2011, GLOBAL ENVIRON CHANG, V21, P1045, DOI 10.1016/j.gloenvcha.2011.04.005
   [Anonymous], 2002, NONSTR FLOOD PLAIN M
   [Anonymous], 2010, RAPPORT DETAPE 10620
   [Anonymous], 2003, ASS COST EFF FUT CLA
   [Anonymous], HOM GUID RETR
   [Anonymous], Q4290 WL DELFT HYDR
   Banque de France, 1997, RAPP
   Banque de France, 2005, RAPP ANN BANQ FRANC
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   Botzen WJW, 2009, ENVIRON HAZARDS-UK, V8, P209, DOI 10.3763/ehaz.2009.0023
   Boulet-Desbareau C., 2005, MITIGATION ZONES INO
   Bouwer LM, 2009, NAT HAZARD EARTH SYS, V9, P1995, DOI 10.5194/nhess-9-1995-2009
   Bouwer LM, 2010, GLOBAL ENVIRON CHANG, V20, P463, DOI 10.1016/j.gloenvcha.2010.04.002
   Bryman A., 1994, QUANTITATIVE DATA AN
   Bubeck P, 2012, NAT HAZARD EARTH SYS, V12, P3507, DOI 10.5194/nhess-12-3507-2012
   Dawson RJ, 2011, GLOBAL ENVIRON CHANG, V21, P628, DOI 10.1016/j.gloenvcha.2011.01.013
   de Moel H, 2011, GLOBAL ENVIRON CHANG, V21, P620, DOI 10.1016/j.gloenvcha.2010.12.005
   Defra, 2008, FD2607 DEFR
   Kreibich H, 2005, NAT HAZARD EARTH SYS, V5, P117, DOI 10.5194/nhess-5-117-2005
   Kreibich H, 2012, NAT HAZARD EARTH SYS, V12, P391, DOI 10.5194/nhess-12-391-2012
   Kreibich H, 2011, NAT HAZARD EARTH SYS, V11, P309, DOI 10.5194/nhess-11-309-2011
   Kreibich H, 2009, NAT HAZARDS, V51, P423, DOI 10.1007/s11069-007-9200-8
   Kull D, 2013, DISASTERS, V37, P374, DOI 10.1111/disa.12002
   Linde AHT, 2011, NAT HAZARD EARTH SYS, V11, P459, DOI 10.5194/nhess-11-459-2011
   Olfert A., 2008, Flood Risk Management: Research and Practice
   Poussin JK, 2012, NAT HAZARD EARTH SYS, V12, P3455, DOI 10.5194/nhess-12-3455-2012
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Poussin JK, 2013, ENVIRON HAZARDS-UK, V12, P258, DOI 10.1080/17477891.2013.832650
   SIEGEL S, 1957, AM STAT, V11, P13, DOI 10.2307/2685679
   Ward PJ, 2011, NAT HAZARD EARTH SYS, V11, P3181, DOI 10.5194/nhess-11-3181-2011
   Wind HG, 1999, WATER RESOUR RES, V35, P3459, DOI 10.1029/1999WR900192
   Wooldridge J.M, 2003, INTRO ECONOMETRICS E, V2e, P139
NR 34
TC 108
Z9 117
U1 7
U2 102
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 74
EP 84
DI 10.1016/j.gloenvcha.2014.12.007
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:000355359200008
DA 2025-01-10
ER

PT J
AU Spies, TA
   Giesen, TW
   Swanson, FJ
   Franklin, JF
   Lach, D
   Johnson, KN
AF Spies, Thomas A.
   Giesen, Thomas W.
   Swanson, Frederick J.
   Franklin, Jerry F.
   Lach, Denise
   Johnson, K. Norman
TI Climate change adaptation strategies for federal forests of the Pacific
   Northwest, USA: ecological, policy, and socio-economic perspectives
SO LANDSCAPE ECOLOGY
LA English
DT Article; Proceedings Paper
CT 10th International Congress of Ecology
CY AUG 16-21, 2009
CL Brisbane, AUSTRALIA
DE Landscape management; Disturbances; Regional planning; Adaptive
   management; Environmental laws
ID FIRE; BIODIVERSITY; RESTORATION; RESPONSES; INCREASE; WILDFIRE; MODELS;
   FUTURE
AB Conserving biological diversity in a changing climate poses major challenges for land managers and society. Effective adaptive strategies for dealing with climate change require a socio-ecological systems perspective. We highlight some of the projected ecological responses to climate change in the Pacific Northwest, U.S.A and identify possible adaptive actions that federal forest managers could take. The forest landscape, ownership patterns and recent shift toward ecologically based forest management provide a good starting place for conserving biological diversity under climate change. Nevertheless, undesirable changes in species and ecosystems will occur and a number of adaptive actions could be undertaken to lessen the effects of climate change on forest ecosystems. These include: manipulation of stand and landscape structure to increase ecological resistance and resilience; movement of species and genotypes; and engaging in regional, multi-ownership planning to make adaptive actions more effective. Although the language and goals of environmental laws and policies were developed under the assumption of stable climate and disturbance regimes, they appear to be flexible enough to accommodate many adaptive actions. It is less certain, however, if sufficient social license and economic capacity exist to undertake these actions. Given the history of contentious and litigious debate about federal forest management in this region, it is likely that some of these actions will be seen as double-edge swords, spurring social resistance, especially where actions involve cutting trees. Given uncertainties and complexity, collaborative efforts that promote learning (e.g. adaptive management groups) must be rejuvenated and expanded.
C1 [Spies, Thomas A.; Swanson, Frederick J.] US Forest Serv, Dept Agr, PNW Res Stn, Forestry Sci Lab, Corvallis, OR 97331 USA.
   [Giesen, Thomas W.; Johnson, K. Norman] Oregon State Univ, Coll Forestry, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA.
   [Franklin, Jerry F.] Univ Washington, Sch Forest Resources, Seattle, WA 98195 USA.
   [Lach, Denise] Oregon State Univ, Dept Sociol, Corvallis, OR 97331 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; Oregon State University; University of Washington; University
   of Washington Seattle; Oregon State University
RP Spies, TA (corresponding author), US Forest Serv, Dept Agr, PNW Res Stn, Forestry Sci Lab, Corvallis, OR 97331 USA.
EM tspies@fs.fed.us
RI Lach, Denise/E-1937-2013
CR Agee J., 1993, Fire Ecology of Pacific Northwest Forests
   Aitken SN, 2008, EVOL APPL, V1, P95, DOI 10.1111/j.1752-4571.2007.00013.x
   [Anonymous], 2006, Whitebark pine in peril: A case for restoration
   [Anonymous], PNWRP581 USDA FOR SE
   [Anonymous], 2009, GEN TECHNICAL REPORT
   [Anonymous], THESIS OREGON STATE
   Bangs EE, 1998, WILDLIFE SOC B, V26, P785
   Baron JS, 2009, ENVIRON MANAGE, V44, P1033, DOI 10.1007/s00267-009-9296-6
   CAMPBELL RK, 1979, ECOLOGY, V60, P1036, DOI 10.2307/1936871
   Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x
   Chape S, 2005, PHILOS T R SOC B, V360, P443, DOI 10.1098/rstb.2004.1592
   Cissel JH, 1999, ECOL APPL, V9, P1217, DOI 10.1890/1051-0761(1999)009[1217:LMUHFR]2.0.CO;2
   Craig RK, 2010, HARVARD ENVIRON LAW, V34, P9
   DALY C, 2009, INT J CLIMATOLOGY, DOI DOI 10.1002/JOC.2007
   Finney MA, 2007, INT J WILDLAND FIRE, V16, P712, DOI 10.1071/WF06064
   Franklin J.F., 1988, NATURAL VEGETATION O
   Franklin J.F., 1992, The consequences of the greenhouse effect for biological diversity, P244
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Hays SamuelP., 1989, Beauty, Health, and Permanence: Environmental Politics in the United States, 1955-1985
   Healey SP, 2008, ECOSYSTEMS, V11, P1106, DOI 10.1007/s10021-008-9182-8
   Jackson ST, 2009, SCIENCE, V325, P567, DOI 10.1126/science.1172977
   Johnson K. N., 2009, RESTORATION FEDERAL
   Johnson K.N., 2009, Old growth in a new world: A Pacific northwest icon reexamined, chapter 2, P12
   Johnson KN., 1999, Bioregional Assessments
   Keele DM, 2006, J FOREST, V104, P196
   Keiter RobertB., 2003, KEEPING FAITH NATURE
   Kurz WA, 2008, NATURE, V452, P987, DOI 10.1038/nature06777
   Lint J. B., 2005, PNWGTR648 USDA FOR S
   Littell JS, 2008, ECOL MONOGR, V78, P349, DOI 10.1890/07-0712.1
   LITTELL JS, 2009, WASHINGTON CLIMATE C, pCH7
   Marris E, 2009, NATURE, V459, P906, DOI 10.1038/459906a
   McKenzie D, 2004, CONSERV BIOL, V18, P890, DOI 10.1111/j.1523-1739.2004.00492.x
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Moeur M., 2005, PNWGTR646 USDA FOR S, P142, DOI 10.2737/PNW-GTR-646
   Mote PW, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2003GL017258
   Noss RF, 2006, FRONT ECOL ENVIRON, V4, P481, DOI 10.1890/1540-9295(2006)4[481:MFFITW]2.0.CO;2
   Ohmann JL, 1998, ECOL MONOGR, V68, P151, DOI 10.1890/0012-9615(1998)068[0151:RGAASP]2.0.CO;2
   Olson DH, 2009, FOREST ECOL MANAG, V258, pS117, DOI 10.1016/j.foreco.2009.04.018
   Orr DW, 2009, CONSERV BIOL, V23, P790, DOI 10.1111/j.1523-1739.2009.01273.x
   Phillips NG, 2003, TREE PHYSIOL, V23, P237, DOI 10.1093/treephys/23.4.237
   Randin CF, 2009, GLOBAL CHANGE BIOL, V15, P1557, DOI 10.1111/j.1365-2486.2008.01766.x
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Rieman BE, 2007, T AM FISH SOC, V136, P1552, DOI 10.1577/T07-028.1
   Salathe EP, 2008, J CLIMATE, V21, P5708, DOI 10.1175/2008JCLI2090.1
   SHEPERD, 2009, GEOENGINEERING CLIMA
   Spies TA, 2007, ECOL APPL, V17, P48, DOI 10.1890/1051-0761(2007)017[0048:PEOFPO]2.0.CO;2
   St Clair JB, 2007, GLOBAL CHANGE BIOL, V13, P1441, DOI 10.1111/j.1365-2486.2007.01385.x
   STANKEY GH, 2009, OLD GROWTH NEW WORLD, P201
   Stephens SL, 2005, ECOL APPL, V15, P532, DOI 10.1890/04-0545
   Thomas SC, 1999, ECOL APPL, V9, P864, DOI 10.1890/1051-0761(1999)009[0864:PDIMFU]2.0.CO;2
   van Mantgem PJ, 2009, SCIENCE, V323, P521, DOI 10.1126/science.1165000
   Westerling AL, 2006, SCIENCE, V313, P940, DOI 10.1126/science.1128834
   Wiens JA, 2009, P NATL ACAD SCI USA, V106, P19729, DOI 10.1073/pnas.0901639106
   Zhang XB, 2007, NATURE, V448, P461, DOI 10.1038/nature06025
NR 54
TC 84
Z9 110
U1 4
U2 99
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 OCT
PY 2010
VL 25
IS 8
BP 1185
EP 1199
DI 10.1007/s10980-010-9483-0
PG 15
WC Ecology; Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA 648WS
UT WOS:000281725700005
DA 2025-01-10
ER

PT J
AU Cai, XM
   Wang, DB
   Laurent, R
AF Cai, Ximing
   Wang, Dingbao
   Laurent, Romain
TI Impact of Climate Change on Crop Yield: A Case Study of Rainfed Corn in
   Central Illinois
SO JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
LA English
DT Article
ID WEATHER; WHEAT; AGRICULTURE; VARIABILITY; SIMULATION
AB This paper assesses the effect of climate change on crop yield from a soil water balance perspective. The uncertainties of regional-scale climate models, local-scale climate variability, emissions scenarios, and crop growth models are combined to explore the possible range of climate change effects on rainfed corn yield in central Illinois in 2055. The results show that a drier and warmer summer during the corn growth season and wetter and warmer precrop and postcrop seasons will likely occur. Greater temperature and precipitation variability may lead to more variable soil moisture and crop yield, and larger soil moisture deficit and crop yield reduction are likely to occur more frequently. The increased water stress is likely to be most pronounced during the flowering and yield formation stages. The expected rainfed corn yield in 2055 is likely to decline by 23%-34%, and the probability that the yield may not reach 50% of the potential yield ranges from 32% to 70% if no adaptation measures are instituted. Among the multiple uncertainty sources, the greenhouse gas emissions projection may have the strongest effect on the risk estimate of crop yield reduction. The effects from the various uncertainties can be offset to some degree when the uncertainties are considered jointly. An ensemble of GCMs with an equal weight may overestimate the risk of soil moisture deficits and crop yield reduction in comparison with an ensemble of GCMs with different weight determined by the root-mean-square error minimization method. The risk estimate presented in this paper implies that climate change adaptation is needed to avoid reduced corn yields and the resulting profit losses in central Illinois.
C1 [Cai, Ximing; Wang, Dingbao; Laurent, Romain] Univ Illinois, Dept Civil & Environm Engn, Ven Te Chow Hydrosyst Lab, Urbana, IL 61801 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign
RP Cai, XM (corresponding author), Univ Illinois, Dept Civil & Environm Engn, Ven Te Chow Hydrosyst Lab, 205 N Mathews Ave, Urbana, IL 61801 USA.
EM xmcai@uiuc.edu
RI ; Wang, Dingbao/B-6948-2012
OI Cai, Ximing/0000-0002-7342-4512; Wang, Dingbao/0000-0003-4822-7485
FU U. S. National Science Foundation (NSF) [CMMI-0825654]; Directorate For
   Engineering; Div Of Civil, Mechanical, & Manufact Inn [0825654] Funding
   Source: National Science Foundation
FX The authors are grateful for the comments and suggestions from three
   anonymous reviewers and editorial assistance from Jory Hecht. Financial
   support to this study was provided by U. S. National Science Foundation
   (NSF) Grant CMMI-0825654.
CR ADAMS RM, 1989, AM J AGR ECON, V71, P1272, DOI 10.2307/1243120
   Alexandrov V, 2002, GLOBAL CHANGE BIOL, V8, P372, DOI 10.1046/j.1354-1013.2002.00484.x
   Andronova NG, 2001, J GEOPHYS RES-ATMOS, V106, P22605, DOI 10.1029/2000JD000259
   [Anonymous], CLIM CHANG IMP US PO
   Brumbelow K, 2001, J GEOPHYS RES-ATMOS, V106, P27383, DOI 10.1029/2001JD900034
   Carter T.R., 1999, GUIDELINES USE SCENA
   Changnon SA, 2003, CLIMATIC CHANGE, V58, P109, DOI 10.1023/A:1023411401144
   Dettinger M.D., 2005, San Francisco Estuary and Watershed Science, V3, P1
   *DOE, SCEN GREENH GAS EM A
   ,, 1979, FAO Irrigation and Drainage Paper
   Eitzinger J, 2003, AGR WATER MANAGE, V61, P195, DOI 10.1016/S0378-3774(03)00024-6
   EITZINGER J, 2001, ECOL ECON, V52, P199
   *EPA, 1997, 230F97008M EPA
   Forest CE, 2002, SCIENCE, V295, P113, DOI 10.1126/science.1064419
   Gregory JM, 2002, J CLIMATE, V15, P3117, DOI 10.1175/1520-0442(2002)015<3117:AOBEOT>2.0.CO;2
   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]
   Hu Q, 2003, J APPL METEOROL, V42, P1626, DOI 10.1175/1520-0450(2003)042<1626:CEOCYI>2.0.CO;2
   Huntingford C, 2005, PHILOS T R SOC B, V360, P1999, DOI 10.1098/rstb.2005.1748
   *IL CLIM NETW, ILL STAT WAT SURV
   Jones RN, 2000, CLIMATE RES, V14, P89, DOI 10.3354/cr014089
   Laurent R, 2007, CLIMATIC CHANGE, V82, P411, DOI [10.1007/s10584-006-9197-0, 10.1007/s 10584-006-9197-0]
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   MacQueen J., 1967, P 5 BERK S MATH STAT, V1, P281, DOI DOI 10.1007/S11665-016-2173-6
   MITCHELL J, 2003, CLIMATIC CHANGE, V41, P547
   NEW M., 2000, Integr. Assess, V1, P203, DOI DOI 10.1023/A:1019144202120
   Park W. I., 1993, Review of Agricultural Economics, V15, P483, DOI 10.2307/1349483
   Raper S.C.B., 1996, Sea-Level Rise and Coastal Subsidence, P11, DOI DOI 10.1007/978-94-015-8719-8_2
   Reilly J, 2003, CLIMATIC CHANGE, V57, P43, DOI 10.1023/A:1022103315424
   Richter GM, 2006, SOIL USE MANAGE, V22, P39, DOI 10.1111/j.1475-2743.2006.00018.x
   Richter GM, 2005, AGR SYST, V84, P77, DOI 10.1016/j.agsy.2004.06.011
   Ruosteenoja K., 2003, FINNISH ENV, V644
   Santer B.D., 1990, 47 MAXPL I MET
   Schimel D, 2006, SCIENCE, V312, P1889, DOI 10.1126/science.1129913
   Schlenker W, 2006, REV AGR ECON, V28, P391, DOI 10.1111/j.1467-9353.2006.00304.x
   SEMENOV MA, 1995, AGR FOREST METEOROL, V73, P265, DOI 10.1016/0168-1923(94)05078-K
   Semenov MA, 1997, CLIMATIC CHANGE, V35, P397, DOI 10.1023/A:1005342632279
   Semenov MA, 1998, CLIMATE RES, V10, P95, DOI 10.3354/cr010095
   SEMENOV MA, 1992, NATURE, V357, P293
   Thomas A, 2000, AGR FOREST METEOROL, V102, P71, DOI 10.1016/S0168-1923(00)00126-X
   Tubiello FN, 2002, CLIM RES, V20, P259, DOI 10.3354/cr020259
   van Dam J.C., 1997, THEORY SWAP VERSION
   Wang DB, 2007, ADV WATER RESOUR, V30, P1844, DOI 10.1016/j.advwatres.2007.02.006
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   Webster M, 2003, CLIMATIC CHANGE, V61, P295, DOI 10.1023/B:CLIM.0000004564.09961.9f
   WIGLEY TML, 1987, NATURE, V330, P127, DOI 10.1038/330127a0
   Wilks DS, 1999, PROG PHYS GEOG, V23, P329, DOI 10.1177/030913339902300302
   WILLIAMS A, 2001, SUSTAINING GLOBAL FA, P509
NR 47
TC 30
Z9 38
U1 2
U2 29
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 1558-8424
EI 1558-8432
J9 J APPL METEOROL CLIM
JI J. Appl. Meteorol. Climatol.
PD SEP
PY 2009
VL 48
IS 9
BP 1868
EP 1881
DI 10.1175/2009JAMC1880.1
PG 14
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 496WA
UT WOS:000270009300010
OA hybrid
DA 2025-01-10
ER

PT J
AU Benegas, L
   Jimenez, F
   Locatelli, B
   Faustino, J
   Campos, M
AF Benegas, Laura
   Jimenez, Francisco
   Locatelli, Bruno
   Faustino, Jorge
   Campos, Max
TI A methodological proposal for the evaluation of farmer's adaptation to
   climate variability, mainly due to drought in watersheds in Central
   America
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation; Resilience; Climate variability; Evaluation standard;
   Multi-criteria analysis
AB The current study shows the process and the results of a methodology proposed to contribute with the issue of how to evaluate the adaptation to climate variability and future climate change. The proposed methodology consists of a standard to evaluate farmer's adaptation to climate variability, mainly due to drought in watersheds in Central America; and was created with contributions from experts and professionals around this region. The phases for this process were: (1) literature review about the topic, (2) development of a preliminary standard, (3) expert interviews for the evaluation of this preliminary standard, (4) construction of a standard to evaluate the issue of adaptation to climate variability emphasizing drought through contributions from experts and their preliminary evaluations, (5) applicability test of this standard for the evaluation of climate variability under real conditions and (6) application of this standard through a case study in the Aguas Calientes river sub-watershed in Nicaragua, which permanently undergoes drought problems and climate variability. This standard has five main principles that go from the general, considering regional and national policies and institutionalism, to the specifics at the level of watersheds. In addition to those principles, the standard contains ten criteria, 26 indicators and 51 verifiers distributed among the main five principles. In the process for testing this standard in the Aguas Calientes river watershed in Nicaragua, the score for the general applicability to this standard was middle-level (score of 3 in a scale of 1 to 5), although, for the main principles of this standard, the score was four (high).
C1 [Benegas, Laura; Jimenez, Francisco; Locatelli, Bruno; Faustino, Jorge; Campos, Max] Trop Agr Res & Higher Educ Ctr, Cartago, Costa Rica.
C3 CATIE - Centro Agronomico Tropical de Investigacion y Ensenanza
RP Benegas, L (corresponding author), Trop Agr Res & Higher Educ Ctr, Cartago, Costa Rica.
EM lbenegas@catie.ac.cr; fjimenez@catie.ac.cr; blocatel@catie.ac.cr;
   faustino@catie.ac.cr; ccrh@racsa.co.cr
RI Locatelli, Bruno/C-9957-2009; Jimenez-Otarola, Francisco/J-8295-2015
OI Locatelli, Bruno/0000-0003-2983-1644; Benegas,
   Laura/0000-0002-1890-0213; Jimenez-Otarola,
   Francisco/0000-0002-2639-0583
CR Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   [Anonymous], COMP METH TOOLS EV I
   Burton I, 1996, ADAPTING TO CLIMATE CHANGE: AN INTERNATIONAL PERSPECTIVE, P55
   BURTON I, 2005, SESS WORKSH AD BONN
   Carter TR, 1996, ADAPTING TO CLIMATE CHANGE: AN INTERNATIONAL PERSPECTIVE, P27
   de Loë R, 2001, GLOBAL ENVIRON CHANG, V11, P231, DOI 10.1016/S0959-3780(00)00053-4
   de Loë RC, 2000, CLIMATIC CHANGE, V45, P163, DOI 10.1023/A:1005649219332
   DOLAN H, 2001, 26 U GUELPH
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   *FOND ENR, 2006, DEC METH, P41
   *IPCC, 2001, 101 IPCC OMNPNUMA
   Mendoza G.A, 1999, CRITERIA INDICATORS, V9, P86, DOI [10.17528/citor/000769, DOI 10.17528/CITOR/000769]
   MUSALEM K, 2005, THESIS TURRIALBA CR, P87
   NEGRI LAB, 2006, THESIS TURRIALBA
   NIANGDIOP I, 2004, 8 IPCC
   PRABHU R, 1999, CRITERIA INDICATORS, P186
   Smit B, 1996, CLIMATIC CHANGE, V33, P7, DOI 10.1007/BF00140511
   Smith JB, 1996, CLIMATE RES, V6, P193, DOI 10.3354/cr006193
   *TAV I GHK CONS IR, 2007, EV GUID GUID SOC EC
   *UNCCD, 2005, COM EX APL APL CONV
   *UNDP, 2003, GLOB ENV FAC US GUID, P40
   WESSELINK A, 2005, INTEGRATION INTEREST, P13
   *WFP, 2002, STAND FOOD LIV ASS S, P59
NR 23
TC 4
Z9 5
U1 0
U2 15
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 FEB
PY 2009
VL 14
IS 2
BP 169
EP 183
DI 10.1007/s11027-008-9158-1
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 659EM
UT WOS:000282549800005
DA 2025-01-10
ER

PT J
AU Cañizares, JC
   Copeland, S
   Doorn, N
AF Canizares, Jose Carlos
   Copeland, Samantha
   Doorn, Neelke
TI Embedding Justice Considerations in Climate Resilience
SO ETHICS POLICY & ENVIRONMENT
LA English
DT Article
DE Resilience; climate adaptation; distributive justice; procedural
   justice; justice demands
ID ADAPTATION; POLITICS; METAPHOR; SUSTAINABILITY; RESPONSIBILITY;
   CHALLENGES; FRAMEWORK; DISASTER; ECOLOGY; CITIES
AB This article contributes to recent work on justice in resilience-based projects for climate adaptation. At present, the model commonly used for guiding normative reflection in this domain is the tripartite model of justice, whereby justice is seen as comprising distributive, procedural and recognitional aspects. After discussing some conceptual problems and practical shortcomings of this model, we propose an alternative model with six forms of justice or kinds of justice demands: distributive, procedural, intergenerational, restorative and retributive justice, and justice in system outcomes. We also illustrate some advantages of this model with respect to representative accounts of the tripartite model.
C1 [Canizares, Jose Carlos; Copeland, Samantha; Doorn, Neelke] Delft Univ Technol, Fac Tech Bestuur & Management, Values Technol & Innovat, Delft, Netherlands.
C3 Delft University of Technology
RP Cañizares, JC (corresponding author), Values Technol & Innovat, Gebouw 31,Jaffalaan 5,Postbus 5015, NL-2628 BX Delft, Netherlands.; Cañizares, JC (corresponding author), Delft Univ Technol, NL-2600 GA Delft, Netherlands.
EM J.C.CanizaresGaztelu@tudelft.nl
RI ; Canizares Gaztelu, Jose Carlos/HSG-7898-2023
OI Copeland, Samantha/0000-0002-6946-7165; Canizares Gaztelu, Jose
   Carlos/0000-0003-2572-813X
FU Dutch National Research Council NWO [VI.Vidi.195.119]
FX This work has been supported by a grant from the Dutch National Research
   Council NWO [grant no. VI.Vidi.195.119].
CR Adger WN, 2011, GLOBAL ENVIRON POLIT, V11, P1, DOI 10.1162/GLEP_a_00051
   Ahern J, 2013, LANDSCAPE ECOL, V28, P1203, DOI 10.1007/s10980-012-9799-z
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   [Anonymous], 1987, LIBERTY EQUALITY LAW
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 1996, Engineering Within Ecological Constraints, DOI DOI 10.17226/4919
   ARROW K, 1995, SCIENCE, V268, P520, DOI 10.1126/science.268.5210.520
   Bahadur A, 2014, ENVIRON URBAN, V26, P200, DOI 10.1177/0956247814522154
   Brackel L, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su132313072
   Brown K., 2012, Climate change and the crisis of capitalism: A chance to reclaim self, society and nature, P37, DOI DOI 10.4324/9780203146118
   Brown K.J., 2015, Report of findings: Mercury control studies for the Cache Creek Settling Basin, Yolo County, California, P1, DOI DOI 10.4324/9780203498095
   Brunetta G, 2019, RESILIENT CIT, P1, DOI 10.1007/978-3-319-76944-8
   Bulkeley H, 2014, GLOBAL ENVIRON CHANG, V25, P31, DOI 10.1016/j.gloenvcha.2014.01.009
   Bulkeley H, 2013, ENVIRON POLIT, V22, P136, DOI 10.1080/09644016.2013.755797
   Byskov MF, 2021, J SOC PHILOS, V52, P116, DOI 10.1111/josp.12348
   Byskov MF, 2021, CLIM DEV, V13, P1, DOI 10.1080/17565529.2019.1700774
   Canizares J. C., IN PRESS
   Cañizares JC, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158538
   Caprotti F, 2017, URBAN RES PRACT, V10, P367, DOI 10.1080/17535069.2016.1275618
   Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9
   Coggins S, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0663
   Denton F., 2014, CLIMATE RESILIENT PA, DOI [10.1017/cbo9781107415379.025, DOI 10.1017/CBO9781107415379.025]
   Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003
   Doak J, 2012, INT CRIM LAW REV, V12, P305, DOI 10.1163/157181212X650010
   Dooley K, 2021, NAT CLIM CHANGE, V11, P300, DOI 10.1038/s41558-021-01015-8
   Doorn N., RISK RESPONSIBILITY
   Doorn N, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13073676
   Doorn N, 2017, J RISK RES, V20, P711, DOI 10.1080/13669877.2015.1100662
   Elmqvist T, 2019, NAT SUSTAIN, V2, P267, DOI 10.1038/s41893-019-0250-1
   Fitzgibbons J, 2019, WORLD DEV, V122, P648, DOI 10.1016/j.worlddev.2019.06.021
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Gordon DJ, 2019, EARTH SYST GOV CUP, P21
   Gotham KF, 2012, PERSPECT POLIT, V10, P633, DOI 10.1017/S153759271200165X
   Hansson SO, 2003, ERKENNTNIS, V59, P291, DOI 10.1023/A:1026005915919
   Hodson M, 2009, INT J URBAN REGIONAL, V33, P193, DOI 10.1111/j.1468-2427.2009.00832.x
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Holling C.S., 1978, Adaptive environmental assessment and management
   Hughes S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05929-180448
   IPCC, 2014, AR5 IPCC
   Jagers SC, 2008, ENVIRON POLIT, V17, P576, DOI 10.1080/09644010802193443
   Joseph J, 2013, RESILIENCE, V1, P38, DOI 10.1080/21693293.2013.765741
   Klinsky S., 2009, CLIM POLICY, V6, P112028, DOI [https://doi.org/10.1088/1755-1307/6/1/112028, DOI 10.1088/1755-1307/6/1/112028]
   Kronlid D.O., 2014, Climate change adaptation and human capabilities: Justice and ethics in research and policy
   Meerow S, 2019, LOCAL ENVIRON, V24, P793, DOI 10.1080/13549839.2019.1645103
   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
   Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6
   NOZICK R, 1973, PHILOS PUBLIC AFF, V3, P45
   Nussbaum C. Martha, 2000, Women and Human Development: The Capabilities Approach, DOI DOI 10.1017/CBO9780511841286
   Nussbaum M. C., 2010, QUALITY LIFE STUDY P
   OECD, 2003, EM RISKS 21 CENT
   Okereke C, 2010, WIRES CLIM CHANGE, V1, P462, DOI 10.1002/wcc.52
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola JouniW. Neil Adger., 2002, JUSTICE ADAPTATION C
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Perry Ronen., 2005, Tennessee Law Review, V73, P177
   PETTIT P, 1988, PHILOS QUART, V38, P42, DOI 10.2307/2220266
   Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurbplan.2003.10.035
   PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0
   Posner EA, 2010, CLIMATE CHANGE JUSTICE, P1
   Rawls J., 1993, POLITICAL LIBERALISM, V177
   Rawls J., 1971, THEORY JUSTICE
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Revi A, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P535
   Robeyns I., 2017, WELLBEING FREEDOM SO
   Rockefeller Foundation Arup, 2016, GUIDE
   Scanlon T.M., 1977, Erkenntnis, V11, P81
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   SEN A, 1991, J ECONOMETRICS, V50, P15, DOI 10.1016/0304-4076(91)90087-T
   Sen A., 2003, Readings in Human Development, DOI DOI 10.1007/978-1-349-21136-4_3
   Sen A., 1992, INEQUALITY REEXAMINE
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Simonsen S. H., 2015, APPL RESILIENCE THIN
   Singer P., 1977, ANIMAL LIBERATION, V86
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Stephens GL, 2015, REV GEOPHYS, V53, P141, DOI 10.1002/2014RG000449
   Strunz S, 2012, ECOL ECON, V76, P112, DOI 10.1016/j.ecolecon.2012.02.012
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taiwo Olufe?Ami., 2022, RECONSIDERING REPARA
   Tanner Thomas., 2009, IDS Work. Pap
   Thorén H, 2014, INT STUD PHILOS SCI, V28, P303, DOI 10.1080/02698595.2014.953343
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UNISDR, 2012, MAK CIT RES REP 2012, P93
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Wamsler C, 2013, J CLEAN PROD, V50, P68, DOI 10.1016/j.jclepro.2012.12.008
   Wardekker JA, 2010, TECHNOL FORECAST SOC, V77, P987, DOI 10.1016/j.techfore.2009.11.005
   World Bank, 2008, PIL PROGR CLIM RES C
   World Bank I. F. C. Multilateral Investment Guarantee Agency, 2008, DEV CLIMATE CHANGE S
   World Commission on Environment and Development, 1987, OUR COMMON FUTURE
NR 90
TC 3
Z9 3
U1 1
U2 9
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 2155-0085
EI 2155-0093
J9 ETHICS POLICY ENV
JI Ethics Policy Env.
PD JAN 2
PY 2024
VL 27
IS 1
BP 63
EP 88
DI 10.1080/21550085.2023.2197824
EA APR 2023
PG 26
WC Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA IQ5S1
UT WOS:000972156900001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Storbjörk, S
   Hedrén, J
AF Storbjork, Sofie
   Hedren, Johan
TI Institutional capacity-building for targeting sea-level rise in the
   climate adaptation of Swedish coastal zone management. Lessons from
   Coastby
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
ID ADAPTIVE CAPACITY; VULNERABILITY; ASSESSMENTS; GOVERNANCE; RESPONSES;
   INSIGHTS; SPACES
AB For coastal areas across the world, sea-level rise and problems of coastal erosion and coastal flooding are expected to increase over the next hundred years. At the same time political pressure for continued waterfront planning and development of coastal areas threatens to increase our societal vulnerability, and necessitating climate adaptation in coastal zone management. The institutional dimension has been identified as important for ensuring a more robust adaptation to both current climate variability and future climate change. In this paper, lessons regarding institutional constraints for climate adaptation are drawn from a Swedish case-study on local coastal zone management, illustrating the diverse and complex nature of institutional capacity-building. The aim of the paper is to illustrate critical factors that from an institutional perspective condition the capacity to achieve a more integrated, strategic and proactive climate adaptation and for turning "rules on paper" to working practice, based on case-study experiences from Coastby. Following and expanding a framework for analysing institutional capacity-building we learnt that a selective few key actors had played a critical role in building a strong external networking capacity with a flip-side in terms of a weak internal coordinating capacity and lack of mutual ownership of coastal erosion between sectoral units e.g. risk-management, planning and environment. We also found a weak vertical administrative interplay and lack of formal coherent policy, procedures and regulations for managing coastal erosion between local, regional and national administrations. Further, tensions and trade-offs between policy-agendas, values and political priorities posed a barrier for capacity-building in coastal zone management which calls for processes to mediate conflicting priorities in policy-making, planning and decision-making. The case-study suggests that the ability of the political administrative system to acknowledge and deal with institutional conflicts is a critical condition for ensuring an integrated and proactive climate adaptation in coastal zone management. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Storbjork, Sofie] Linkoping Univ, Ctr Climate Sci & Policy Res CSPR, S-58183 Linkoping, Sweden.
   [Hedren, Johan] Linkoping Univ, Dept Water & Environm Studies DWES, S-58183 Linkoping, Sweden.
C3 Linkoping University; Linkoping University
RP Storbjörk, S (corresponding author), Linkoping Univ, Ctr Climate Sci & Policy Res CSPR, S-58183 Linkoping, Sweden.
EM sofie.storbjork@liu.se; johan.hedren@liu.se
FU Swedish Research Council for Environment, Agricultural Sciences and
   Spatial Planning (FORMAS)
FX To the Swedish Research Council for Environment, Agricultural Sciences
   and Spatial Planning (FORMAS) for funding the research project "Planning
   for climate adaptation - adaptive capacity and conditions for change".
   To the interviewees for openly and generously sharing their perspectives
   and experiences of coastal zone management and institutional
   capacity-building. To Siri Eriksen and Katrina Brown for valuable and
   constructive comments on an early version of the paper, presented at the
   GECHS synthesis-conference Human Security in the Era of Global Change,
   Oslo 22-24th of June 2009. To Eva Lovbrand, Erik Glaas and Karin Andre
   for insightful reflections at a research-seminar at the Centre for
   Science and Policy Research at Linkoping University. To the three
   anonymous reviewers for their helpful suggestions on how to improve the
   paper.
CR Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Allman Lee., 2004, Local Environment, V9, P271, DOI [DOI 10.1080/1354983042000219379, https://doi.org/10.1080/1354983042000219379]
   Anker HT, 2004, OCEAN COAST MANAGE, V47, P495, DOI 10.1016/j.ocecoaman.2004.09.003
   [Anonymous], 2006, I DYNAMICS ENV GOVER
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   BRIASSOULIS H, 2004, J ENVIRON PLANN MAN, V1, P115
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   BROWN K, 2009, GECHS C HUM SEC ER G
   Buitelaar E, 2007, ENVIRON PLANN A, V39, P891, DOI 10.1068/a38191
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Burton I., 2004, Climate Change, P25
   *CAB SKAN, 2008, STIG HAVSN KONS FYS
   Christie P, 2005, OCEAN COAST MANAGE, V48, P208, DOI 10.1016/j.ocecoaman.2005.04.002
   *COASTB MUN, 2008, POL FORV SKYDD KUST
   *COASTB MUN, 2007, ER HAV STAD EVIG KAM
   *COASTB MUN, 2004, ER KUST COASTB KOMM
   *COASTB MUN, 2007, POL FORV SKYDD KUST
   Crabbé P, 2006, CLIMATIC CHANGE, V78, P103, DOI 10.1007/s10584-006-9087-5
   Deboudt P, 2008, OCEAN COAST MANAGE, V51, P212, DOI 10.1016/j.ocecoaman.2007.09.005
   Demeritt D, 2004, GLOBAL ENVIRON CHANG, V14, P325, DOI 10.1016/j.gloenvcha.2004.06.003
   Eakin H, 2010, GLOBAL ENVIRON CHANG, V20, P1, DOI 10.1016/j.gloenvcha.2009.08.002
   *EC, COM2000547 EC
   *ER, SAM MELL KUSTK
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   *ERNST YOUNG, 2007, 4 ERNST YOUNG
   FENECH A, 2004, CLIMATE CHANGE BUILD, P3
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Füssel HM, 2006, CLIMATIC CHANGE, V75, P301, DOI 10.1007/s10584-006-0329-3
   Glaas E, 2010, LOCAL ENVIRON, V15, P525, DOI 10.1080/13549839.2010.487525
   Inderberg TH, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P433
   Ivey JL, 2004, ENVIRON MANAGE, V33, P36, DOI 10.1007/s00267-003-0014-5
   Keskitalo ECH, 2009, MITIG ADAPT STRAT GL, V14, P185, DOI 10.1007/s11027-008-9159-0
   LERMAN P, 2003, 534 SGI
   LIDSKOG R, 2009, GLOBAL UPPVARMNING L, P63
   March J., 1989, Rediscovering institutions: The organizational basis of politics
   Mcfadden L, 2007, COAST MANAGE, V35, P429, DOI 10.1080/08920750701525768
   McKenna J, 2008, MAR POLICY, V32, P941, DOI 10.1016/j.marpol.2008.02.005
   Merriam S.B., 1994, Fallstudien som forskningsmetod
   Moser SC, 2005, GLOBAL ENVIRON CHANG, V15, P353, DOI 10.1016/j.gloenvcha.2005.08.002
   Nicholson-Cole S, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P368
   Nilsson M, 2005, CLIM POLICY, V5, P363
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   Parry M.L., 2007, IPCC Climate Change 2007: Impacts, Adaptation and Vulnerability
   [Parry ML. IPCC IPCC], 2007, Climate change 2007: Impacts, adaptation and vulnerability, P7, DOI DOI 10.2134/JEQ2008.0015BR
   Pelling M, 2008, ENVIRON PLANN A, V40, P867, DOI 10.1068/a39148
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   RANKKA K, 2005, 560 SGI, P2
   Salman A., 2004, Living with coastal erosion in Europe: sediment and space for sustainability. Part I - Major findings and policy recommendations of the EUROSION project
   *SGI, 2003, 529 SGI
   *SGI SRV, 2008, FOR ATG MOT SKRED RA
   Shepherd P, 2006, CLIMATIC CHANGE, V78, P31, DOI 10.1007/s10584-006-9093-7
   Silverman D., 2001, Interpreting qualitative data
   SOU, 2007, SWED FAC CLIM CHANG, V2007, P60
   Stake R. E., 1995, ART CASE STUDY RES
   STORBJORK S, CHANGING EN IN PRESS
   Storbjörk S, 2010, J ENVIRON POL PLAN, V12, P235, DOI 10.1080/1523908X.2010.505414
   Storbjörk S, 2007, LOCAL ENVIRON, V12, P457, DOI 10.1080/13549830701656960
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Wall E, 2006, LOCAL ENVIRON, V11, P373, DOI 10.1080/13549830600785506
   Willems Stephane., 2003, I CAPACITY CLIMATE A
   Wilson E, 2006, LOCAL ENVIRON, V11, P609, DOI 10.1080/13549830600853635
   Winsvold M, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P476
   Young Oran., 2002, The institutional dimension of environmental change: fit, interplay, and scale
   RECOMMENDATION CONCE
NR 66
TC 65
Z9 75
U1 1
U2 47
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 MAR
PY 2011
VL 54
IS 3
BP 265
EP 273
DI 10.1016/j.ocecoaman.2010.12.007
PG 9
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Oceanography; Water Resources
GA 722MO
UT WOS:000287436600008
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Piana, MR
   Hallett, RA
   Johnson, ML
   Sonti, NF
   Brandt, LA
   Aronson, MFJ
   Ashton, M
   Blaustein, M
   Bloniarz, D
   Bowers, AA
   Carr, ME
   D'Amico, V
   Dewald, L
   Dionne, H
   Doroski, DA
   Fahey, RT
   Forgione, H
   Forrest, T
   Hale, J
   Hansen, E
   Hayden, L
   Hines, S
   Hoch, JM
   Ieataka, T
   Lerman, SB
   Murphy, C
   Nagele, E
   Nislow, K
   Parker, D
   Pregitzer, CC
   Rhodes, L
   Schuler, J
   Sherman, A
   Trammell, T
   Wienke, BM
   Witmer, T
   Worthley, T
   Yesilonis, I
AF Piana, Max R.
   Hallett, Richard A.
   Johnson, Michelle L.
   Sonti, Nancy F.
   Brandt, Leslie A.
   Aronson, Myla F. J.
   Ashton, Mark
   Blaustein, Max
   Bloniarz, David
   Bowers, Ashley A.
   Carr, Megan E.
   D'Amico, Vince
   Dewald, Laura
   Dionne, Heather
   Doroski, Danica A.
   Fahey, Robert T.
   Forgione, Helen
   Forrest, Todd
   Hale, Jack
   Hansen, Eric
   Hayden, Lisa
   Hines, Sarah
   Hoch, Jessica M.
   Ieataka, Taro
   Lerman, Susannah B.
   Murphy, Charles
   Nagele, Eliot
   Nislow, Keith
   Parker, Dhan
   Pregitzer, Clara C.
   Rhodes, Luke
   Schuler, Jessica
   Sherman, Alexander
   Trammell, Tara
   Wienke, Brittany M.
   Witmer, Thomas
   Worthley, Thomas
   Yesilonis, Ian
TI Climate Adaptive Silviculture for the City: Practitioners and
   Researchers Co-create a Framework for Studying Urban Oak-Dominated Mixed
   Hardwood Forests
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE urban forests; urban forestry; silviculture; forest restoration; climate
   adaptation; climate vulnerability; resilience
ID RESILIENCE; MANAGEMENT; US
AB Urban forested natural areas are an important component of the forest and tree canopy in northeastern United States urban areas. Although similar to native forests in surrounding regions in structure, composition, and function, these natural areas are threatened by multiple, co-occurring biological and climate stressors that are exacerbated by the urban environment. Furthermore, forests in cities often lack application of formal silvicultural approaches reliant upon evidence-based applied ecological sciences. These include both urban- and climate-adapted silvicultural techniques to increase the resilience and sustainability of native forests in cities. With this in mind, we convened a group of urban forest practitioners and researchers from along a latitudinal gradient in the northeastern United States to participate in a workshop focused on co-developing long-term, replicated ecological studies that will underlie the basis for potential silvicultural applications to urban forests. In this article we review the process and outcomes of the workshop, including an assessment of forest vulnerability, and adaptive capacity across the region, as well as shared management goals and objectives. We discuss the social and ecological challenges of managing urban oak-dominated mixed hardwood forests relative to non-urban forests and identify potential examples of urban- and climate-adapted silviculture strategies created by practitioners and researchers. In doing so, we highlight the challenges and need for basic and long-term applied ecological research relevant to silvicultural applications in cities.
C1 [Piana, Max R.; Bloniarz, David; Lerman, Susannah B.; Nislow, Keith] Forest Serv, USDA, Northern Res Stn, Amherst, NY 59501 USA.
   [Hallett, Richard A.; Johnson, Michelle L.] USDA, Forest Serv, Northern Res Stn, Queens, NY USA.
   [Sonti, Nancy F.; Hines, Sarah; Yesilonis, Ian] USDA, No Res Stn, Forest Serv, Baltimore, MD USA.
   [Brandt, Leslie A.] USDA, Forest Serv, No Res Stn, Northern Inst Appl Climate Sci, St Paul, MN USA.
   [Aronson, Myla F. J.] Rutgers State Univ, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ USA.
   [Ashton, Mark] Yale Univ, Forest Sch, Sch Environm, New Haven, CT USA.
   [Blaustein, Max; Parker, Dhan; Rhodes, Luke; Witmer, Thomas] Dept Pk & Recreat City Philadelphia, Philadelphia, PA USA.
   [Bowers, Ashley A.; Carr, Megan E.; Murphy, Charles] Dept Recreat & Parks City Baltimore, Baltimore, MD USA.
   [D'Amico, Vince] USDA, Northern Res Stn, Forest Serv, Philadelphia, PA USA.
   [Dewald, Laura] Univ Kentucky, Dept Forestry & Nat Resources, Lexington, KY USA.
   [Dionne, Heather; Hale, Jack] Forestry Div City Hartford, Hartford, CT USA.
   [Doroski, Danica A.] Connecticut Dept Energy & Environm, Hartford, CT USA.
   [Fahey, Robert T.; Worthley, Thomas] Univ Connecticut, Dept Nat Resources & Environm, Storrs, CT USA.
   [Fahey, Robert T.; Worthley, Thomas] Univ Connecticut, Ctr Environm Sci & Engn, Storrs, CT USA.
   [Forgione, Helen; Hoch, Jessica M.; Pregitzer, Clara C.; Wienke, Brittany M.] Nat Areas Conservancy, New York, NY USA.
   [Forrest, Todd; Nagele, Eliot] New York Bot Garden, Bronx, NY USA.
   [Hansen, Eric] Ferrucci & Walicki LLC, Middlefield, CT USA.
   [Hayden, Lisa] New England Forestry Fdn, Littleton, MA USA.
   [Ieataka, Taro; Schuler, Jessica] Westcheter Cty Pk, North Salem, NY USA.
   [Sherman, Alexander] City Springfield, Springfield, MA USA.
   [Trammell, Tara] Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service; United States Department of Agriculture (USDA); United
   States Forest Service; United States Department of Agriculture (USDA);
   United States Forest Service; Rutgers University System; Rutgers
   University New Brunswick; Yale University; United States Department of
   Agriculture (USDA); United States Forest Service; University of
   Kentucky; University of Connecticut; University of Connecticut; New York
   Botanical Garden; University of Delaware
RP Piana, MR (corresponding author), Forest Serv, USDA, Northern Res Stn, Amherst, NY 59501 USA.
EM max.r.l.piana@gmail.com
RI Hansen, Eric/JEF-6566-2023
OI Johnson, Michelle/0000-0002-6994-3766; Piana, Max/0000-0002-6802-707X;
   Lerman, Susannah/0000-0002-2331-8439; Trammell, Tara/0000-0002-5215-4947
CR Abrams MD, 2003, BIOSCIENCE, V53, P927, DOI 10.1641/0006-3568(2003)053[0927:WHATWO]2.0.CO;2
   [Anonymous], 2021, TRUST PUBLIC LAND
   Ashton MS., 2018, The Practice Of Silviculture: Applied Forest Ecology
   Bindoff N. L., 2019, IPCC SPECIAL REPORT, P447
   Brandt L, 2016, ENVIRON SCI POLICY, V66, P393, DOI 10.1016/j.envsci.2016.06.005
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Butler-Leopold P.R., 2018, GEN TECH REP NRS 181, V294
   Campbell LK, 2016, ENVIRON MANAGE, V57, P1262, DOI 10.1007/s00267-016-0680-8
   Carreiro MM, 2005, ECOSYSTEMS, V8, P568, DOI 10.1007/s10021-003-0172-6
   Cregg B. M., 2001, Journal of Arboriculture, V27, P8
   D'Amato AW, 2021, CAN J FOREST RES, V51, P172, DOI 10.1139/cjfr-2020-0306
   Dey Daniel C., 2010, Colomb. for., V13, P201
   Dey DC, 2014, FOREST SCI, V60, P926, DOI 10.5849/forsci.13-114
   Frumkin H, 2017, ENVIRON HEALTH PERSP, V125, DOI 10.1289/EHP1663
   Gerlak AK, 2011, J PUBL ADM RES THEOR, V21, P619, DOI 10.1093/jopart/muq089
   Gill SE, 2007, Built Environ, V33, P115, DOI [10.2148/benv.33.1.115, DOI 10.2148/BENV.33.1.115]
   Hallett R., 2021, URBAN FOR URBAN GREE, V57, DOI DOI 10.1016/J.UFUG.2020.126917
   Hammes M C., 2020, Cities and the Environment (CATE), V13, P11
   Hanberry BB, 2016, QUATERNARY SCI REV, V145, P94, DOI 10.1016/j.quascirev.2016.05.037
   Hanle J, 2020, ECOL EVOL, V10, P1193, DOI 10.1002/ece3.5967
   Hansen RA, 2000, ECOLOGY, V81, P1120, DOI 10.1890/0012-9658(2000)081[1120:EOHCAC]2.0.CO;2
   Hellmann JJ, 2010, J GREAT LAKES RES, V36, P74, DOI 10.1016/j.jglr.2009.12.001
   Huff Emily S., 2020, Arboriculture & Urban Forestry, V46, P185
   Iverson L. R., 2019, General Technical Report - Southern Research Station, USDA Forest Service, P35
   Janowiak M.K., 2018, NEW ENGLAND NO NEW Y, DOI DOI 10.2737/NRS-GTR-173
   Janowiak M.K., 2021, US FOR SERV GEN TECH, DOI [10.2737/NRS-GTR-203, DOI 10.2737/NRS-GTR-203]
   Janse Gerben, 2007, Urban Forestry & Urban Greening, V6, P23, DOI 10.1016/j.ufug.2006.09.005
   Johnson LR, 2021, URBAN ECOSYST, V24, P633, DOI 10.1007/s11252-020-00977-5
   Johnson ML, 2019, URBAN ECOSYST, V22, P77, DOI 10.1007/s11252-018-0763-9
   Kern CC, 2017, FORESTRY, V90, P4, DOI 10.1093/forestry/cpw024
   Kirshen P, 2008, CLIMATIC CHANGE, V86, P105, DOI 10.1007/s10584-007-9252-5
   Lawrence A, 2013, URBAN FOR URBAN GREE, V12, P464, DOI 10.1016/j.ufug.2013.05.002
   Loftis D.L., 1992, OAK REGENERATION SER, V84
   Long RP, 2012, CAN J FOREST RES, V42, P698, DOI [10.1139/x2012-025, 10.1139/X2012-025]
   Lugo AE, 2006, BIOSCIENCE, V56, P39, DOI 10.1641/0006-3568(2006)056[0039:LRATUF]2.0.CO;2
   Mexia T, 2018, ENVIRON RES, V160, P469, DOI 10.1016/j.envres.2017.10.023
   Nagel LM, 2017, J FOREST, V115, P167, DOI 10.5849/jof.16-039
   Oldfield EE, 2013, J APPL ECOL, V50, P1169, DOI 10.1111/1365-2664.12124
   Oliver CD., 1996, Forest Stand Dynamics, P41
   Olmsted F.L., 1928, 40 YEARS LANDSCAPE A, V1973, P362
   Ordóñez C, 2014, ENVIRON REV, V22, P311, DOI 10.1139/er-2013-0078
   Oswalt S.N., 2014, GEN TECH REP WO 91, P91, DOI DOI 10.2737/WO-GTR-91
   Pastick J, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13307
   Piana MR, 2021, FRONT ECOL ENVIRON, V19, P526, DOI 10.1002/fee.2389
   Piana MR, 2021, ECOL APPL, V31, DOI 10.1002/eap.2255
   Pinchot G., 1895, GARDEN FOREST, V387, P298
   Pregitzer C.C., 2019, Untapped Common Ground: The Care of Forested Natural Areas in American Cities
   Pregitzer CC, 2021, J FOREST, V119, P141, DOI 10.1093/jofore/fvaa055
   Pregitzer CC, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab2552
   Pregitzer CC, 2019, ECOL APPL, V29, DOI 10.1002/eap.1819
   Prell C, 2010, ECOL SOC, V15
   Raymond P, 2009, J FOREST, V107, P405
   Rist L, 2013, FOREST ECOL MANAG, V310, P416, DOI 10.1016/j.foreco.2013.08.033
   Ruefenacht B, 2008, PHOTOGRAMM ENG REM S, V74, P1379, DOI 10.14358/PERS.74.11.1379
   Schuler J.A., 2008, THAIN FAMILY FOREST
   Sonti NF, 2019, FOREST ECOL MANAG, V453, DOI 10.1016/j.foreco.2019.117626
   Sonti NF, 2021, PHYSIOL PLANTARUM, V172, P1535, DOI 10.1111/ppl.13344
   Stoler AB, 2011, OIKOS, V120, P862, DOI 10.1111/j.1600-0706.2010.18625.x
   Swanston CW., 2016, Forest Adaptation Resources: climate change tools and approaches for land managers, V2nd, DOI DOI 10.2737/NRS-GTR-87-2
   Tallamy DW, 2009, CONSERV BIOL, V23, P941, DOI 10.1111/j.1523-1739.2009.01202.x
   Thoren R., 2014, SCENARIO J SPRING
   Trammell TLE, 2020, J ECOL, V108, P2366, DOI 10.1111/1365-2745.13400
   Trust for Public Land [TPL], 2017, CIT PARK FACTS
   Vogt J., 2020, URBAN FORESTS SOCIAL
   Wikle J, 2019, FOREST ECOL MANAG, V454, DOI 10.1016/j.foreco.2019.117650
NR 65
TC 6
Z9 6
U1 1
U2 15
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD DEC 21
PY 2021
VL 9
AR 750495
DI 10.3389/fevo.2021.750495
PG 8
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA YB7LM
UT WOS:000739189000001
OA gold
DA 2025-01-10
ER

PT J
AU Feng, T
   Wu, P
   Gao, HN
   Kosma, DK
   Jenks, MA
   Lü, SY
AF Feng, Tao
   Wu, Pan
   Gao, Huani
   Kosma, Dylan K.
   Jenks, Matthew A.
   Lu, Shiyou
TI Natural variation in root suberization is associated with local
   environment in <i>Arabidopsis thaliana</i>
SO NEW PHYTOLOGIST
LA English
DT Article
DE Arabidopsis; climate adaptation; GWAS; phenotypic variation; root
   endodermis; suberin monomers; suberization
ID WIDE ASSOCIATION; POPULATION-STRUCTURE; PLANT-GROWTH; ADAPTATION;
   CLIMATE; SUBERIN; CUTIN; WATER; GENE; DIFFERENTIATION
AB Genetic signature of climate adaptation has been widely recognized across the genome of many organisms; however, the eco-physiological basis for linking genomic polymorphisms with local adaptations remains largely unexplored. Using a panel of 218 world-wide Arabidopsis accessions, we characterized the natural variation in root suberization by quantifying 16 suberin monomers. We explored the associations between suberization traits and 126 climate variables. We conducted genome-wide association analysis and integrated previous genotype-environment association (GEA) to identify the genetic bases underlying suberization variation and their involvements in climate adaptation. Root suberin content displays extensive variation across Arabidopsis populations and significantly correlates with local moisture gradients and soil characteristics. Specifically, enhanced suberization is associated with drier environments, higher soil cation-exchange capacity, and lower soil pH; higher proportional levels of very-long-chain suberin is negatively correlated with moisture availability, lower soil gravel content, and higher soil silt fraction. We identified 94 putative causal loci and experimentally proved that GPAT6 is involved in C16 suberin biosynthesis. Highly significant associations between the putative genes and environmental variables were observed. Roots appear highly responsive to environmental heterogeneity via regulation of suberization, especially the suberin composition. The patterns of suberization-environment correlation and the suberin-related GEA fit the expectations of local adaptation for the polygenic suberization trait.
C1 [Feng, Tao; Wu, Pan; Gao, Huani; Lu, Shiyou] Hubei Univ, Sch Life Sci, State Key Lab Biocatalysis & Enzyme Engn, Wuhan 430062, Peoples R China.
   [Feng, Tao; Lu, Shiyou] Hubei Hongshan Lab, Wuhan 430070, Peoples R China.
   [Kosma, Dylan K.] Univ Nevada, Dept Biochem & Mol Biol, Reno, NV 89557 USA.
   [Jenks, Matthew A.] Univ Arizona, Coll Agr & Life Sci, Sch Plant Sci, Tucson, AZ 85721 USA.
   [Feng, Tao] Wageningen Univ & Res, Biosystemat Grp, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Gelderland, Netherlands.
C3 Hubei University; Nevada System of Higher Education (NSHE); University
   of Nevada Reno; University of Arizona; Wageningen University & Research
RP Lü, SY (corresponding author), Hubei Univ, Sch Life Sci, State Key Lab Biocatalysis & Enzyme Engn, Wuhan 430062, Peoples R China.; Lü, SY (corresponding author), Hubei Hongshan Lab, Wuhan 430070, Peoples R China.
EM shiyoulu@hubu.edu.cn
RI Lu, Shiyou/JZD-9170-2024; Kosma, Dylan/AAU-7794-2020
OI Feng, Tao/0000-0002-0489-2021; Kosma, Dylan/0000-0002-6880-7260; Jenks,
   Matthew/0000-0003-1134-3925; Wu, Pan/0000-0002-7039-2113
FU National Natural Science Foundation of China [32070282]; USA National
   Science Foundation [1547713]; Direct For Biological Sciences; Division
   Of Integrative Organismal Systems [1547713] Funding Source: National
   Science Foundation
FX This project was supported by the National Natural Science Foundation of
   China (grant no. 32070282), and the USA National Science Foundation
   (grant no. 1547713).
CR Ågren J, 2012, NEW PHYTOL, V194, P1112, DOI 10.1111/j.1469-8137.2012.04112.x
   Alexa A., 2020, topGO: Enrichment Analysis for Gene Ontology
   Alexander DH, 2009, GENOME RES, V19, P1655, DOI 10.1101/gr.094052.109
   Alonso-Blanco C, 2016, CELL, V166, P481, DOI 10.1016/j.cell.2016.05.063
   Ashburner M, 2000, NAT GENET, V25, P25, DOI 10.1038/75556
   Banta JA, 2012, ECOL LETT, V15, P769, DOI 10.1111/j.1461-0248.2012.01796.x
   Barberon M, 2016, CELL, V164, P447, DOI 10.1016/j.cell.2015.12.021
   BARRS HD, 1962, AUST J BIOL SCI, V15, P413, DOI 10.1071/BI9620413
   Baxter I, 2009, PLOS GENET, V5, DOI 10.1371/journal.pgen.1000492
   Benjamini Y, 2000, J EDUC BEHAV STAT, V25, P60, DOI 10.2307/1165312
   Berhin A, 2019, CELL, V176, P1367, DOI 10.1016/j.cell.2019.01.005
   Blancaflor EB, 2014, PLANT J, V79, P568, DOI 10.1111/tpj.12427
   BOX GEP, 1964, J ROY STAT SOC B, V26, P211, DOI 10.1111/j.2517-6161.1964.tb00553.x
   CROW J F, 1970, P591, DOI 10.1093/bioinformatics/btr330
   Da Silva SB, 2018, R J, V10, P447
   de Silva NDG, 2021, METABOLITES, V11, DOI 10.3390/metabo11110735
   Ellis TJ, 2021, MOL ECOL, V30, P2846, DOI 10.1111/mec.15941
   Exposito-Alonso M, 2019, NATURE, V573, P126, DOI 10.1038/s41586-019-1520-9
   FEDER PI, 1977, TECHNOMETRICS, V19, P515, DOI 10.2307/1267896
   Ferrero-Serrano A, 2019, NAT ECOL EVOL, V3, P274, DOI 10.1038/s41559-018-0754-5
   Flood PJ, 2017, CURR OPIN PLANT BIOL, V36, P88, DOI 10.1016/j.pbi.2017.02.003
   Franke R, 2009, PLANT J, V57, P80, DOI 10.1111/j.1365-313X.2008.03674.x
   Franke R, 2007, CURR OPIN PLANT BIOL, V10, P252, DOI 10.1016/j.pbi.2007.04.004
   Geldner N, 2013, ANNU REV PLANT BIOL, V64, P531, DOI 10.1146/annurev-arplant-050312-120050
   Gosselin T., 2020, ASSIGNER ASSIGNMENT
   HAAS DL, 1975, AM J BOT, V62, P336, DOI 10.2307/2442087
   Hancock AM, 2011, SCIENCE, V334, P83, DOI 10.1126/science.1209244
   Harman-Ware AE, 2021, BIOTECHNOL BIOFUELS, V14, DOI 10.1186/s13068-021-01892-3
   Hoffmann MH, 2002, J BIOGEOGR, V29, P125, DOI 10.1046/j.1365-2699.2002.00647.x
   Kalladan R, 2017, P NATL ACAD SCI USA, V114, P11536, DOI 10.1073/pnas.1705884114
   Kang HM, 2008, GENETICS, V178, P1709, DOI 10.1534/genetics.107.080101
   Kim J, 2013, PLANT PHYSIOL, V162, P567, DOI 10.1104/pp.112.210450
   Kooke R, 2016, PLANT PHYSIOL, V170, P2187, DOI 10.1104/pp.15.00997
   Korte A, 2013, PLANT METHODS, V9, DOI 10.1186/1746-4811-9-29
   Kreszies T, 2018, J PLANT PHYSIOL, V227, P75, DOI 10.1016/j.jplph.2018.02.002
   Krishnamurthy P, 2009, PLANTA, V230, P119, DOI 10.1007/s00425-009-0930-6
   Kruijer W, 2015, GENETICS, V199, P379, DOI 10.1534/genetics.114.167916
   Lashbrooke J, 2016, PLANT CELL, V28, P2097, DOI 10.1105/tpc.16.00490
   Leinonen T, 2013, NAT REV GENET, V14, P179, DOI 10.1038/nrg3395
   Li H, 2009, BIOINFORMATICS, V25, P1094, DOI [10.1093/bioinformatics/btp100, 10.1093/bioinformatics/btp324]
   Li-Beisson Y, 2009, P NATL ACAD SCI USA, V106, P22008, DOI 10.1073/pnas.0909090106
   Líska D, 2016, ANN BOT-LONDON, V118, P667, DOI 10.1093/aob/mcw047
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   NORTH GB, 1994, AM J BOT, V81, P46, DOI 10.2307/2445561
   North GB, 1997, NEW PHYTOL, V135, P21, DOI 10.1046/j.1469-8137.1997.00620.x
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Panikashvili D, 2010, MOL PLANT, V3, P563, DOI 10.1093/mp/ssp103
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pfister A, 2014, ELIFE, V3, DOI 10.7554/eLife.03115
   Pollard M, 2008, TRENDS PLANT SCI, V13, P236, DOI 10.1016/j.tplants.2008.03.003
   Pucker B, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0164321
   Ranathunge K, 2011, PLANT CELL ENVIRON, V34, P1223, DOI 10.1111/j.1365-3040.2011.02318.x
   Ranathunge K, 2011, J EXP BOT, V62, P1961, DOI 10.1093/jxb/erq389
   Rellstab C, 2015, MOL ECOL, V24, P4348, DOI 10.1111/mec.13322
   Ristova D, 2018, PLANT J, V96, P468, DOI 10.1111/tpj.14034
   ROBARDS AW, 1973, PROTOPLASMA, V77, P291, DOI 10.1007/BF01276765
   RStudio Team, 2020, RSTUDIO INT DEV ENV
   Schreiber L, 1999, J EXP BOT, V50, P1267, DOI 10.1093/jexbot/50.337.1267
   Seren Ü, 2012, PLANT CELL, V24, P4793, DOI 10.1105/tpc.112.108068
   Shafer S.H., 2005, ADV GLOB CHANGE RES, P21
   Shiono K, 2014, PLANT J, V80, P40, DOI 10.1111/tpj.12614
   Shukla V, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2101730118
   SMOUSE PE, 1986, SYST ZOOL, V35, P627, DOI 10.2307/2413122
   SPITZE K, 1993, GENETICS, V135, P367
   Stearns FW, 2013, ECOL EVOL, V3, P2241, DOI 10.1002/ece3.622
   Tabas-Madrid D, 2018, PLANT CELL ENVIRON, V41, P1806, DOI 10.1111/pce.13189
   Thomas D, 2010, NAT REV GENET, V11, P259, DOI 10.1038/nrg2764
   Ursache R, 2021, NAT PLANTS, V7, P353, DOI 10.1038/s41477-021-00862-9
   Wang P, 2020, PLANT SOIL, V448, P603, DOI 10.1007/s11104-020-04464-w
   Wang YS, 2006, P NATL ACAD SCI USA, V103, P12197, DOI 10.1073/pnas.0603571103
   WEIR BS, 1984, EVOLUTION, V38, P1358, DOI [10.2307/2408641, 10.1111/j.1558-5646.1984.tb05657.x]
   Wilczek AM, 2014, P NATL ACAD SCI USA, V111, P7906, DOI 10.1073/pnas.1406314111
   Wimmer V, 2012, BIOINFORMATICS, V28, P2086, DOI 10.1093/bioinformatics/bts335
   Yang WL, 2012, PLANT PHYSIOL, V160, P638, DOI 10.1104/pp.112.201996
   Yeats TH, 2014, PLANT J, V77, P667, DOI 10.1111/tpj.12422
   Zeng LY, 2017, SCI BULL, V62, P1628, DOI 10.1016/j.scib.2017.10.007
   Zou YP, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-017-1378-9
NR 77
TC 14
Z9 14
U1 3
U2 26
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 OCT
PY 2022
VL 236
IS 2
BP 385
EP 398
DI 10.1111/nph.18341
EA JUL 2022
PG 14
WC Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Plant Sciences
GA 4W6SA
UT WOS:000823842100001
PM 35751382
DA 2025-01-10
ER

PT J
AU Du, HM
   Triyanti, A
   Hegger, DLT
   Gilissen, HK
   Driessen, PPJ
   van Rijswick, HFMW
AF Du, Haomiao
   Triyanti, Annisa
   Hegger, Dries L. T.
   Gilissen, Herman Kasper
   Driessen, Peter P. J.
   van Rijswick, Helena F. M. W.
TI Enriching the concept of solution space for climate adaptation by
   unfolding legal and governance dimensions
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Solution space; Climate adaptation; Governance; Climate adaptation law;
   Interdisciplinarity
ID FLOOD RISK GOVERNANCE; DECISION-MAKING; LEGITIMACY; WATER; POLICY;
   STRATEGIES; CHALLENGES; MITIGATION; PRINCIPLES; FRAMEWORK
AB Conspicuous interdisciplinary effort has been spent on addressing the consequences of climate change in a forward-looking way. The concept of solution space is a recent contribution to help decision-makers identify feasible and effective adaptation solutions and to provide guidance on when they should be implemented and by whom. Although the current conceptualization of solution space already considers multiple disciplines, it remains dominated by biophysical ones and has not yet fully integrated legal and governance dimensions. This article first reflects on the current solution space framework through the lenses of law and governance and then proposes approaches to enrich legal and governance dimensions in the solution space concept. We argue that the legal and governance dimensions of the current concept of solution space can be improved by taking into account four aspects: 1) understanding the institutional and legal systems in a context-specific way; 2) embracing the dynamics and reflexivity of law and governance in the episteme of path dependency; 3) applying more diverse analytical methods (qualitative, qualitative/ quantitative, value-oriented) and/or assessments on a case-by-case basis; and 4) adding a normative perspective that includes the principles of legitimacy, transparency, accountability, equity, and distributive justice to measure the appropriateness of a certain adaptation strategy. The article concludes with suggestions for future research on how to implement the enriched solution space concept.
C1 [Du, Haomiao; Gilissen, Herman Kasper; van Rijswick, Helena F. M. W.] Univ Utrecht, Utrecht Ctr Water Oceans & Sustainabil Law, Utrecht, Netherlands.
   [Triyanti, Annisa; Hegger, Dries L. T.; Driessen, Peter P. J.] Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Governance, POB 80-115, NL-3584 CB Utrecht, Netherlands.
C3 Utrecht University; Utrecht University
RP Triyanti, A (corresponding author), Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Governance, POB 80-115, NL-3584 CB Utrecht, Netherlands.
EM a.triyanti@uu.nl
RI Du, Haomiao/GXM-8013-2022; Hegger, Dries/S-8727-2016; Hegger,
   Dries/L-9301-2013; Driessen, Peter/M-6751-2013
OI Hegger, Dries/0000-0003-2721-3527; Driessen, Peter/0000-0002-0724-6666;
   Triyanti, Annisa/0000-0001-5524-7551; van Rijswick,
   Helena/0000-0002-0492-1718; Du, Haomiao/0000-0002-0968-9516
FU Water Climate and Future Deltas Hub, Pathways to Sustainability at
   Utrecht University in The Netherlands
FX This work was supported by the Water Climate and Future Deltas Hub,
   Pathways to Sustainability at Utrecht University in The Netherlands.
CR Agrawala S, 2011, INT REV ENVIRON RESO, V5, P245, DOI 10.1561/101.00000043
   Alexander M, 2018, REG ENVIRON CHANGE, V18, P397, DOI 10.1007/s10113-017-1195-4
   Andersen MS, 2012, INT POLIT SOCIOL, V6, P205, DOI 10.1111/j.1749-5687.2012.00159.x
   AR E, 1967, B AM MATH SOC, V73, P663, DOI 10.1090/S0002-9904-1967-11815-9
   Audet R, 2014, ENVIRON INNOV SOC TR, V11, P46, DOI 10.1016/j.eist.2014.02.001
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Berg Kathrin., 2005, WHITE RIVER S AFRICA, P182
   Binder CR, 2012, ECOL ECON, V83, P210, DOI 10.1016/j.ecolecon.2012.06.022
   Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002
   Birnbaum S, 2016, J ENVIRON POL PLAN, V18, P306, DOI 10.1080/1523908X.2015.1077440
   Bodansky D., 2012, LEGITIMACY
   Bodansky D, 2008, BEITR AUSL OFFENTL R, V194, P309
   Bodansky Daniel., 2010, GEORGIA J INT COMP L, V38, P511
   Bodin Ö, 2017, SCIENCE, V357, P659, DOI 10.1126/science.aan1114
   Bordel S, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1000859
   Bosello F, 2010, CLIM CHANG ECON, V1, P71, DOI 10.1142/S201000781000008X
   Boyle A, 2008, FORDHAM ENV LAW REV, V18, P471
   Brockhaus M, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P399
   Bruzzone S, 2016, ENVIRON SCI POLICY, V64, P1, DOI 10.1016/j.envsci.2016.05.014
   Castree N, 2014, NAT CLIM CHANGE, V4, P763, DOI 10.1038/NCLIMATE2339
   Cosens BA, 2013, ECOL SOC, V18, DOI 10.5751/ES-05093-180103
   Dai LP, 2019, POL DEVEL CONTEMP CH, P69, DOI 10.1007/978-3-030-02874-9_6
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   DeCaro DA, 2017, ECOL SOC, V22, DOI 10.5751/ES-09036-220132
   Dow K, 2013, NAT CLIM CHANGE, V3, P305, DOI 10.1038/nclimate1847
   Downing T.E., 2005, Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures, P67
   Driessen PPJ, 2018, WATER-SUI, V10, DOI 10.3390/w10111595
   Driessen PPJ, 2012, ENVIRON POLICY GOV, V22, P143, DOI 10.1002/eet.1580
   Driessen PeterP. J., 2011, Climate Law, V2, P559, DOI [DOI 10.3233/CL-2011-051, 10.3233/CL-2011-051]
   Elasha B.O., 2005, Assessment of impacts and adaptations to climate change (AIACC) Working Paper No 17, P1
   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]
   Fallon RH, 2005, HARVARD LAW REV, V118, P1787
   Garmestani AS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05180-180109
   Giebels D, 2013, J SEA RES, V82, P176, DOI 10.1016/j.seares.2012.11.002
   Gilissen H.K., 2017, CLIMATE RESILIENCE C
   Gilissen H.K., 2015, J WATER LAW, V25, P12
   Green OO, 2014, SUSTAINABILITY-BASEL, V6, P3534, DOI 10.3390/su6063534
   Gunderson L, 2017, ECOL SOC, V22, DOI 10.5751/ES-08879-220131
   Gupta J, 2016, WIRES CLIM CHANGE, V7, P192, DOI 10.1002/wcc.388
   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
   Hajer M, 2015, SUSTAINABILITY-BASEL, V7, P1651, DOI 10.3390/su7021651
   Hegger DLT, 2020, EARTH SYST GOV-NETH, V3, DOI 10.1016/j.esg.2020.100048
   Hegger DLT, 2014, WATER RESOUR MANAG, V28, P4127, DOI 10.1007/s11269-014-0732-x
   Heldeweg MA, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071273
   Henstra D, 2016, CLIM POLICY, V16, P496, DOI 10.1080/14693062.2015.1015946
   Himma K.E., 1999, OXFORD J LEGAL STUD, V19, P71, DOI 10.1093/ojls/19.1.71
   Huutoniemi K., 2017, OXFORD HDB INTERDISC, P1
   Johnson C, 2006, ANNU REV SOCIOL, V32, P53, DOI 10.1146/annurev.soc.32.061604.123101
   Jordan A, 2018, GOVERNING CLIMATE CHANGE: POLYCENTRICITY IN ACTION?, P1, DOI 10.1017/9781108284646
   Klinsky S, 2009, CLIM POLICY, V9, P88, DOI 10.3763/cpol.2007.0468
   Knox JH, 2009, HARVARD ENVIRON LAW, V33, P477
   Kooiman J., 2013, Series, V7, P9, DOI [10.1007/978-94-007-6107-02, DOI 10.1007/978-94-007-6107-02]
   Kooiman J, 2009, PUBLIC ADMIN, V87, P818, DOI 10.1111/j.1467-9299.2009.01780.x
   Koop SHA, 2017, WATER RESOUR MANAG, V31, P3427, DOI 10.1007/s11269-017-1677-7
   Kronik J., 2015, CLIMATE CHANGE ADAPT, P251
   Kundzewicz ZW, 2018, P NATL ACAD SCI USA, V115, P12321, DOI 10.1073/pnas.1818227115
   Lach D, 2014, ENVIRON MANAGE, V53, P88, DOI 10.1007/s00267-013-0115-8
   Langfeldt L, 2001, SOC STUD SCI, V31, P820, DOI 10.1177/030631201031006002
   Laudel G, 2006, RES EVALUAT, V15, P57, DOI 10.3152/147154406781776048
   Lee T, 2020, CLIM POLICY, V20, P341, DOI 10.1080/14693062.2020.1730152
   LiCalzi M, 2012, MANAGE SCI, V58, P1408, DOI 10.1287/mnsc.1110.1495
   Lindegaard LS, 2020, CLIM DEV, V12, P600, DOI 10.1080/17565529.2019.1664973
   Lockwood M, 2010, J ENVIRON MANAGE, V91, P754, DOI 10.1016/j.jenvman.2009.10.005
   Lyons D, 1999, LAW PHILOS, V18, P297
   Mees H, 2019, J ENVIRON PLANN MAN, V62, P671, DOI 10.1080/09640568.2018.1428184
   Mees HLP, 2013, J ENVIRON PLANN MAN, V56, P802, DOI 10.1080/09640568.2012.706600
   Mikulewicz M, 2020, ANN AM ASSOC GEOGR, V110, P1807, DOI 10.1080/24694452.2020.1736981
   Misiedjan D., 2019, Towards a Sustainable Human Right to WaterSupporting Vulnerable People and Protecting Water Resources
   Newell P, 2008, GLOBAL ENVIRON POLIT, V8, P122, DOI 10.1162/glep.2008.8.3.122
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   Ostrom E., 1990, GOVERNING COMMONS EV
   Ostrom E, 2014, ANN ECON FINANC, V15, P97
   Ostrom E, 2011, POLICY STUD J, V39, P7, DOI 10.1111/j.1541-0072.2010.00394.x
   Pettersson M, 2017, WATER INT, V42, P929, DOI 10.1080/02508060.2017.1393716
   Raadgever GT, 2011, ENVIRON SCI POLICY, V14, P64, DOI 10.1016/j.envsci.2010.11.001
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730
   Robinson J, 2004, IEEE T ANTENN PROPAG, V52, P397, DOI 10.1109/TAP.2004.823969
   Ruhl J.B., 2011, N C LAW REV, V89, P1373
   Ruhl J. B., ENVIRON LAW, V40, P363, DOI DOI 10.2139/SSRN.1517374
   Runhaar HAC, 2016, REG ENVIRON CHANGE, V16, P1389, DOI 10.1007/s10113-015-0866-2
   Runhaar H, 2018, REG ENVIRON CHANGE, V18, P1201, DOI 10.1007/s10113-017-1259-5
   Sainz de Murieta E., 2014, IPCC WGII 5 ASSESSME
   Schulz M., 2014, Palgrave encyclopedia of strategic management, P1, DOI DOI 10.1057/978-1-349-94848-2_544-1
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Scoville-Simonds M, 2020, WORLD DEV, V125, DOI 10.1016/j.worlddev.2019.104683
   STILLMAN PG, 1974, POLITY, V7, P32, DOI 10.2307/3234268
   SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788
   Suhardiman D, 2014, WORLD DEV, V57, P91, DOI 10.1016/j.worlddev.2013.11.016
   Suykens C, 2016, ECOL SOC, V21, DOI 10.5751/ES-08592-210401
   Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657
   Termeer Catrien., 2013, Climate Change Governance, Climate Change Management, DOI 10.1007/978-3-642-29831-8_3
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Triyanti A, 2020, WATER-SUI, V12, DOI 10.3390/w12123391
   Triyanti A, 2017, OCEAN COAST MANAGE, V150, P3, DOI 10.1016/j.ocecoaman.2017.10.017
   van Doorn-Hoekveld W.J., 2016, ECOL SOC, V21, DOI [10.5751/ES, DOI 10.5751/ES]
   van Rijswick M, 2014, WATER INT, V39, P725, DOI 10.1080/02508060.2014.951828
   Van Tatenhove J., 2000, Political modernisation and the environment: the renewal of environmental policy arrangements
   Vink MJ, 2013, ECOL SOC, V18, DOI 10.5751/ES-05897-180446
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Waibel G, 2012, ENVIRON SCI ENG, P167, DOI 10.1007/978-94-007-3962-8_6
   Wamsler C, 2018, ENVIRON SCI POLICY, V85, P81, DOI 10.1016/j.envsci.2018.03.021
   Wiek A, 2005, ENVIRON IMPACT ASSES, V25, P589, DOI 10.1016/j.eiar.2004.09.009
   Wiering M.A., 2001, WATER POLICY, V3, P283
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Wuijts S, 2018, WATER RESOUR MANAG, V32, P1245, DOI 10.1007/s11269-017-1867-3
   Zimmermann M, 2013, INT J NUMER METH ENG, V94, P290, DOI 10.1002/nme.4450
NR 109
TC 10
Z9 10
U1 1
U2 7
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 2022
VL 127
BP 253
EP 262
DI 10.1016/j.envsci.2021.10.021
EA NOV 2021
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA XE2UT
UT WOS:000723249900007
OA hybrid, Green Published
DA 2025-01-10
ER

PT C
AU Werners, SE
   West, J
   Leemans, R
   Tàbara, JD
   Dai, XG
   Flachner, Z
   Cots, F
   Neufeldt, H
   McEvoy, D
   Trombi, G
AF Werners, Saskia E.
   West, Jennifer
   Leemans, Rik
   Tabara, J. David
   Dai, Xingang
   Flachner, Zsuzsanna
   Cots, Francesc
   Neufeldt, Henry
   McEvoy, Darryn
   Trombi, Giacomo
BE Filho, WL
TI Opportunities and Constraints for Climate Adaptation in Regional Water
   and Land Use Planning
SO ECONOMIC, SOCIAL AND POLITICAL ELEMENTS OF CLIMATE CHANGE
SE Climate Change Management
LA English
DT Proceedings Paper
CT 2nd Worlds Online Climate Change Conference (Climate 2009)
CY NOV 02-06, 2009
CL ELECTR NETWORK
DE Adaptation assessment; China; Climate adaptation; Europe; Hungary; Land
   use management; Portugal; Regional water and land use planning; Spain;
   Water management
ID INNER-MONGOLIA; RESILIENCE; MANAGEMENT; SCIENCE; RIVER; CHINA
AB Whereas the literature on adaptation is rich in detail on the impacts of, vulnerability to, and constraints of climate adaptation, less is known about the conditions that facilitate adaptation in practice. We examined the constraints and opportunities for adaptation in water and land use planning in three regions: the Guadiana River Basin in Spain and Portugal, the Tisza River Basin in Hungary and western Inner Mongolia in China. We analysed the conditions that either facilitate or constrain adaptation in relation to (1) adaptation actors, (2) adaptation strategies, and (3) adaptation objectives. Many adaptation assessments concentrate on climate impacts and the potential of adaptation strategies. The conditions that enable people to act on adaptation are less studied. Yet these have been identified as particularly important for successfully implementing adaptation. We find that adaptation is enhanced by pilot projects that test and debate new ideas through collaboration between recognized actors from civil society, policy, and science. Promising for adaptation is the integration of (traditional) agro-environmental land use systems that regulate regional climate impacts with new technologies, organizational responsibilities and financial instruments. A key challenge is to create flexible and equitable financial instruments that facilitate benefit and burden sharing, social learning, and that support a diverse set of potentially better adapted new activities rather than compensate for climate impacts on existing activities.
C1 [Werners, Saskia E.; West, Jennifer; Leemans, Rik; Tabara, J. David; Dai, Xingang; Flachner, Zsuzsanna; Cots, Francesc; Neufeldt, Henry; McEvoy, Darryn; Trombi, Giacomo] Univ Wageningen & Res Ctr, Earth Syst Sci Climate Change Grp, NL-6700 AA Wageningen, Netherlands.
C3 Wageningen University & Research
EM werners@mungo.nl; j.j.west@cicero.uio.no; rik.leemans@wur.nl;
   joandavid.tabara@uab.cat; daixg@tea.ac.cn; flachner@rissac.hu;
   francesc.cots@ctfc.es; h.neufeldt@cgiar.org; darryn.mcevoy@rmit.edu.au;
   giacomo.trombi@unifi.it
RI Tàbara, J./K-6771-2019; McEvoy, Darryn/K-8015-2017; Leemans,
   Rik/A-1548-2009
OI werners, saskia/0000-0002-1705-4318; , Francesc/0009-0008-6318-1052;
   Trombi, Giacomo/0000-0002-3775-272X; Leemans, Rik/0000-0002-4001-6301;
   Tabara, J. David/0000-0002-3086-5414
CR ADB, 2005, REG MAST PLAN PREV C
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P75, DOI 10.1016/j.gloenvcha.2005.03.001
   [Anonymous], 2009, INTERDISCIPLINARY AS
   [Anonymous], HORIZONS
   [Anonymous], 2005, ADV CLIM CHANGE RES
   BALOGH P, 2002, BASICS METHOD FLOODP
   BARTA K, 2000, HYDROLOGICAL RISKS I
   Bartholy J., 2007, Applied Ecology and Environmental Research, V5, P1
   Bates B.C., 2008, LINKING CLIMATE CHAN
   Bellon T., 2004, Acta Etnographica Hungarica, V49, P243
   Brogaard S, 2002, AMBIO, V31, P219, DOI 10.1639/0044-7447(2002)031[0219:RRACIL]2.0.CO;2
   China Council Task Force on Forest and Grasslands, 2001, CCICED ANN M 2001 CH
   Commission of the European Communities, 2000, 200660EC COMM EUR CO
   Cots F, 2009, ENV PLANN C IN PRESS
   Csete M, 2007, CEMEPE SECOTOX C SKI
   Dai X, 2008, CLIMATE CHANGE IMPAC
   Dickinson D, 2007, J DEV STUD, V43, P537, DOI 10.1080/00220380701204513
   *ECCE PROJ, 2005, PREL ASS IMP SPAIN D
   FEKETE EG, 2006, EUROPEAN INTEGRATION, V5, P71
   Footitt A., 2007, Climate change and water adaptation issues
   Grothmann T, 2009, CLIMATE CHANGE ADAPT
   Huang W, 2005, INNER MONGOLIA ENV P, V17, P5
   Isoard S, 2008, IMPACTS EUROPES CHAN, V4, P161
   Joffre R, 1999, AGROFOREST SYST, V45, P57, DOI 10.1023/A:1006259402496
   Jones Barry., 1995, EUROPEAN UNION REGIO
   Kajner P, 2008, CHANCE RIVER TISZA B
   LANG I, 2006, PROJECT VAHAVA EXECU
   Linnerooth-Bayer J, 2006, GLOB ISS SER, P181
   McEvoy D, 2007, P INT S TRANSB ENV N
   Moriondo M, 2006, CLIM RES, V31, P85, DOI 10.3354/cr031085
   NDRC, 2006, OUTL 11 5 YEAR PLAN
   Orioli L, 2008, COMBINING CLIMATE CH
   Reynolds JF, 2007, SCIENCE, V316, P847, DOI 10.1126/science.1131634
   Runhong G, 2001, CASE STUDY CONVERSIO
   Santos F.D., 2002, CLIMATE CHANGE PORTU
   Sendzimir J, 2008, ECOL SOC, V13
   Smit B, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, P877
   Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1
   Szl vik L, 2003, PREC FLOOD PROT EUR, P5
   TABARA JD, 2007, EUROPE GLOBAL CLIMAT, P161
   TIMMERMAN JG, 2005, TRANSBOUNDARY RIVER
   Vogel C, 2007, GLOBAL ENVIRON CHANG, V17, P349, DOI 10.1016/j.gloenvcha.2007.05.002
   Weaver PM, 2006, INT J INNOV SUSTAIN, V1, P238, DOI 10.1504/IJISD.2006.012425
   Werners SE, 2009, WATER POLICY ENTREPRENEURS: A RESEARCH COMPANION TO WATER TRANSITIONS AROUND THE GLOBE, P250
   Werners SE, 2009, GLOBAL ENVIRON CHANG, V19, P503, DOI 10.1016/j.gloenvcha.2009.07.003
   West J, 2009, REPORT FIELDWORK BAN
   WWF, 2003, RES OV GUAD RIV BAS
   Xu YL, 2006, CHINESE SCI BULL, V51, P2260, DOI 10.1007/s11434-006-2099-8
   Yan T, 2004, POPUL ENVIRON, V25, P613
   [No title captured]
NR 51
TC 1
Z9 2
U1 0
U2 6
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
SN 1610-2010
BN 978-3-642-14775-3
J9 CLIM CHANG MANAG
PY 2011
BP 669
EP 692
DI 10.1007/978-3-642-14776-0_40
PG 24
WC Environmental Studies
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Environmental Sciences & Ecology
GA BYI54
UT WOS:000298933100040
DA 2025-01-10
ER

PT J
AU Ricart, S
   Gandolfi, C
   Castelletti, A
AF Ricart, Sandra
   Gandolfi, Claudio
   Castelletti, Andrea
TI Targeting farmers' heterogeneity to enrich climate change adaptation
   policy design: findings from northern Italy
SO ENVIRONMENTAL RESEARCH-CLIMATE
LA English
DT Article
DE climate change; farmers; adaptive capacity; policy design; Italy
ID RISK PERCEPTION
AB With its scientifically proven effects and widespread acceptance, climate change stands as one of the most pressing and intricate challenges for society and economies. Farmers are on the frontline of managing climate change. Therefore, how they perceive and respond to climate change shapes their risk assessment and structures future resilience and adaptive capacity. Employing a bottom-up approach, we conducted 460 surveys randomly among farmers throughout the Lombardy region in northern Italy. A triple-loop approach considering climate change awareness, perceived impacts, and adaptation measures and barriers was implemented to characterize the potential heterogeneity of farmer behaviour and explore whether risk attitudes and adaptation actions differ between farmer profiles. We then profiled farmers through a clustering analysis. Four groups emerged, highlighting farmers' adaptation preferences and risk attitudes: (1) cropping-adapted and isolated farmers, (2) cooperation-adapted and insecure farmers, (3) risk insurance-adapted and confident farmers, and (4) climate services-adapted and aware farmers. Although the groups vary in terms of farmers' characterization and farming activities (e.g. young and highly educated vs. old and highly experienced farmers, rainfed vs. irrigated farms), similar patterns were observed regarding climate change awareness and perceived impacts-however, the contrast increased in terms of adaptation measures and barriers. Gaining a more comprehensive understanding of the diverse ways in which farmers assess risks and adapt can promote the transferability of bottom-up findings and inform the co-design of tailored and flexible adaptation instruments, minimizing the risk of maladaptation or ineffective transformation in the face of climate change.
C1 [Ricart, Sandra; Castelletti, Andrea] Politecn Milan, Dept Elect Informat & Bioengn, Environm Intelligence Global Change Lab, Via Ponzio 34-5, I-20133 Milan, Italy.
   [Gandolfi, Claudio] Environm Sci Univ Milan, Dept Agr, Via Celoria 2, Milan, Italy.
C3 Polytechnic University of Milan
RP Ricart, S (corresponding author), Politecn Milan, Dept Elect Informat & Bioengn, Environm Intelligence Global Change Lab, Via Ponzio 34-5, I-20133 Milan, Italy.
EM sandra.ricart@polimi.it; claudio.gandolfi@unimi.it;
   andrea.castelletti@polimi.it
RI Castelletti, Andrea/AAG-7111-2020; Ricart Casadevall, Sandra/H-4222-2016
OI Ricart Casadevall, Sandra/0000-0002-5065-0074; Castelletti,
   Andrea/0000-0002-7923-1498; GANDOLFI, CLAUDIO/0000-0001-7774-1841
FU Horizon 2020 research and innovation program Marie Sklodowska-Curie
   Individual Fellowship [832464]; Italian National Recovery and Resilience
   Plan(PNRR); Marie Curie Actions (MSCA) [832464] Funding Source: Marie
   Curie Actions (MSCA)
FX This work was supported by the Horizon 2020 research and innovation
   program Marie Sklodowska-Curie Individual Fellowship (Grant Agreement
   832464) and the Italian National Recovery and Resilience Plan(PNRR)
   [Missione 4-Componente 2-Investimento 1.2; MUR Young Researchers-bandi
   MSCA].
CR Abazinab H, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e12200
   Abbass K, 2022, ENVIRON SCI POLLUT R, V29, P42539, DOI 10.1007/s11356-022-19718-6
   Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Ado AM, 2020, GEOJOURNAL, V85, P1075, DOI 10.1007/s10708-019-10011-7
   Alotaibi BA, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10070253
   Alvarez S, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0194757
   Amamou H, 2018, CLIM RISK MANAG, V20, P38, DOI 10.1016/j.crm.2018.03.004
   Anderson CC, 2024, RISK ANAL, V44, P304, DOI 10.1111/risa.14161
   Ansari M., 2018, ADV AGR ENV SCI, V1, P85, DOI [10.30881/aaeoa.00015, DOI 10.30881/AAEOA.00015]
   Azadi Y, 2019, J ENVIRON MANAGE, V250, DOI 10.1016/j.jenvman.2019.109456
   Azeem MI, 2023, PLOS ONE, V18, DOI 10.1371/journal.pone.0280838
   Barik SK, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10754-w
   Barnes AP, 2022, CURR RES ENVIRON SUS, V4, DOI 10.1016/j.crsust.2022.100125
   Baronetti A, 2022, CLIMATIC CHANGE, V172, DOI 10.1007/s10584-022-03370-7
   Baronetti A, 2020, INT J CLIMATOL, V40, P4463, DOI [10.1002/joc.6467, 10.1007/978-3-030-50399-4_1]
   Barral S., 2023, REV AGR FOOD ENV STU, V104, P47, DOI [DOI 10.1007/S41130-023-00191-9, 10.1007/s41130-023-00191-9]
   Bartkowski B, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01899-y
   Batung ES, 2023, ENVIRON DEV SUSTAIN, V25, P321, DOI 10.1007/s10668-021-02056-x
   Bednar-Friedl B., 2023, Climate Change 2022Impacts, Adaptation and Vulnerability, P1817, DOI DOI 10.1017/9781009325844.015
   Benitez-Altuna F, 2023, INT J AGR SUSTAIN, V21, DOI 10.1080/14735903.2023.2202538
   Bertana A, 2022, ENVIRON SOCIOL, V8, P448, DOI 10.1080/23251042.2022.2068224
   Bonaldo D, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02004-z
   Braito M, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104876
   Brown C, 2021, LAND USE POLICY, V101, DOI 10.1016/j.landusepol.2020.105136
   Brunner MI, 2021, WIRES WATER, V8, DOI 10.1002/wat2.1520
   Cao H, 2022, J ENVIRON MANAGE, V315, DOI 10.1016/j.jenvman.2022.115179
   Casale F, 2021, J HYDROL-REG STUD, V38, DOI 10.1016/j.ejrh.2021.100973
   Ceci P, 2021, REV DEV ECON, V25, P1991, DOI 10.1111/rode.12815
   Chhetri N, 2019, ENVIRON RES COMMUN, V1, DOI 10.1088/2515-7620/aaf9f9
   Cisternas PC, 2024, RISK ANAL, V44, P333, DOI 10.1111/risa.14151
   Coldiretti, 2022, Clima: 6 mld di danni dalla peggiore siccit da 500 anni
   Cradock-Henry NA, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/ace0ce
   CRED, 2022, The international disaster database
   Cullen AC, 2018, RISK ANAL, V38, P1361, DOI 10.1111/risa.12976
   Datta P., 2022, Environmental Challenges, V7, P100462, DOI DOI 10.1016/J.ENVC.2022.100462
   Daxini A, 2019, RESOUR CONSERV RECY, V146, P280, DOI 10.1016/j.resconrec.2019.03.027
   de Lauwere C, 2022, LAND USE POLICY, V120, DOI 10.1016/j.landusepol.2022.106253
   Maldonado-Méndez MD, 2022, AGRICULTURE-BASEL, V12, DOI 10.3390/agriculture12081079
   Eitzinger A, 2018, CLIMATIC CHANGE, V151, P507, DOI 10.1007/s10584-018-2320-1
   Farhan M, 2022, NAT HAZARDS, V114, P2163, DOI 10.1007/s11069-022-05465-x
   de Jalón SG, 2018, ENVIRON SCI POLICY, V90, P38, DOI 10.1016/j.envsci.2018.09.013
   Gardezi M, 2020, ENVIRON BEHAV, V52, P82, DOI 10.1177/0013916518793482
   Gebrekidan BH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12177114
   Gholamrezai S, 2021, ENVIRON DEV SUSTAIN, V23, P16100, DOI 10.1007/s10668-021-01331-1
   Giuliani M, 2020, HYDROL EARTH SYST SC, V24, P5891, DOI 10.5194/hess-24-5891-2020
   Graskemper V, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105328
   Han G, 2022, ENVIRON BEHAV, V54, P327, DOI 10.1177/00139165211026607
   Hou LL, 2023, AGR WATER MANAGE, V279, DOI 10.1016/j.agwat.2023.108180
   Hyland JJ, 2016, AGR HUM VALUES, V33, P323, DOI 10.1007/s10460-015-9608-9
   Innazent A, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-021-04148-0
   Irham Irham, 2022, ScientificWorldJournal, V2022, P3590769, DOI 10.1155/2022/3590769
   ISTAT, 2022, 7 Censimento Generale Dell'agricoltura: Dati Per Eta Del Capo Azienda-Anno 2020
   Iturriza M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12062168
   Jha CK, 2021, ENVIRON SUSTAIN IND, V10, DOI 10.1016/j.indic.2021.100112
   Johnson D, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15075973
   Karami R, 2024, ENVIRON DEV SUSTAIN, V26, P14743, DOI 10.1007/s10668-023-03215-y
   Koehler J, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14236091
   Lahnamaki-Kivela S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14042265
   Liu XC, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002567
   Loo AMH, 2023, RISK ANAL, V43, P1162, DOI 10.1111/risa.14026
   Luís S, 2018, ENVIRON SCI POLICY, V80, P74, DOI 10.1016/j.envsci.2017.11.015
   Madaki MY, 2023, CLIM POLICY, DOI 10.1080/14693062.2023.2220672
   Mahmood N, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100288
   Malek Z, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102170
   Marescotti ME, 2021, J RURAL STUD, V86, P463, DOI 10.1016/j.jrurstud.2021.07.015
   Margarint MC, 2021, NAT HAZARD EARTH SYS, V21, P3251, DOI 10.5194/nhess-21-3251-2021
   Masi M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13137097
   Meierova T, 2022, J RURAL STUD, V92, P354, DOI 10.1016/j.jrurstud.2022.04.013
   Meuwissen MPM, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102656
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   Montanari A, 2023, SCI ADV, V9, DOI 10.1126/sciadv.adg8304
   Montcho M, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-022-03311-4
   Moure M, 2023, CURR CLIM CHANGE REP, DOI 10.1007/s40641-023-00189-x
   Mustafa G, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13030758
   Torres MAO, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.105031
   Ortiz AMD, 2021, ONE EARTH, V4, P88, DOI 10.1016/j.oneear.2020.12.008
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Paudel B, 2020, CLIMATIC CHANGE, V158, P485, DOI 10.1007/s10584-019-02607-2
   Peltonen-Sainio P, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100205
   Petersen-Rockney M, 2022, CLIMATIC CHANGE, V173, DOI 10.1007/s10584-022-03417-9
   Pickson RB, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211032638
   Ricart S, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-023-02078-3
   Ricart S, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac810f
   Rodríguez-Bustos L, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1009447
   Rodríguez-Cruz LA, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0244512
   Savari M, 2023, FRONT PSYCHOL, V14, DOI 10.3389/fpsyg.2023.1121396
   Schlüter M, 2017, ECOL ECON, V131, P21, DOI 10.1016/j.ecolecon.2016.08.008
   Shah AA, 2023, INT J ENVIRON SCI TE, V20, P1421, DOI 10.1007/s13762-022-04077-z
   Shukla R, 2019, CLIMATIC CHANGE, V152, P103, DOI 10.1007/s10584-018-2314-z
   Singh C, 2022, CLIM DEV, V14, P650, DOI 10.1080/17565529.2021.1964937
   Singh RK, 2017, APPL GEOGR, V86, P41, DOI 10.1016/j.apgeog.2017.06.018
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Sinha A, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.823338
   Skevas T, 2022, CLIMATIC CHANGE, V174, DOI 10.1007/s10584-022-03439-3
   Soltani L, 2023, ENVIRON MANAGE, V71, P74, DOI 10.1007/s00267-022-01604-z
   Spano D., 2020, Analisi del rischio. I cambiamenti climatici in Italia, DOI [10.25424/CMCC/ANALISIDELRISCHIO, DOI 10.25424/CMCC/ANALISIDELRISCHIO]
   Stringer LC, 2020, ENVIRON SCI POLICY, V104, P174, DOI 10.1016/j.envsci.2019.10.007
   Teixeira HM, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124337
   Teshome H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13179622
   Tiet T, 2022, ENVIRON DEV SUSTAIN, V24, P14235, DOI 10.1007/s10668-021-02030-7
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Wheeler SA, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102274
   Williams LJ, 2022, J RURAL STUD, V89, P328, DOI 10.1016/j.jrurstud.2021.12.006
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
   Yegbemey RN, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100253
   Zhang CY, 2020, ENVIRON SCI POLLUT R, V27, P26484, DOI 10.1007/s11356-020-09048-w
   Zhang L, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101408
   Zullo F, 2019, SCI TOTAL ENVIRON, V650, P1740, DOI 10.1016/j.scitotenv.2018.09.331
NR 108
TC 0
Z9 0
U1 2
U2 2
PU IOP Publishing Ltd
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
EI 2752-5295
J9 ENVIRON RES-CLIM
JI Environ. Res. Clim.
PD SEP 1
PY 2024
VL 3
IS 3
AR 031001
DI 10.1088/2752-5295/ad4580
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA G8R4R
UT WOS:001319242100001
OA gold
DA 2025-01-10
ER

PT J
AU Streit, K
   Brang, P
   Frei, ER
AF Streit, Kathrin
   Brang, Peter
   Frei, Esther R.
TI The Swiss common garden network: testing assisted migration of tree
   species in Europe
SO FRONTIERS IN FORESTS AND GLOBAL CHANGE
LA English
DT Article
DE assisted migration; climate change adaptation; common garden;
   experimental plantation; future forest; seed source; tree species
ID CLIMATE-CHANGE IMPACTS; FOREST MANAGEMENT; QUERCUS-PETRAEA; RANGE
   SHIFTS; FUTURE; ADAPTATION; DROUGHT; GROWTH; SILVICULTURE; STRATEGIES
AB A warmer climate with drier summers will affect the suitability of tree species in their current range in most of Europe. To preserve ecosystem services in the future, many European countries are looking for tree species adapted to the expected future climate and are setting up trials to test them in different environments. In collaboration with forest practitioners and federal and regional authorities, we have established a network of 57 common gardens across large environmental gradients in Switzerland. Over a period of 30 to 50 years, the vitality, growth and survival of 18 tree species from 117 seed sources will be monitored to develop tree species recommendations for forest managers. In this article, we outline the considerations, challenges and trade-offs involved in designing this experiment, as well as the participatory process with a variety of stakeholders, from local foresters to the Federal Office for the Environment. Further, we list experiments testing multiple species on multiple sites in Europe and compare experimental designs, tree species and environmental gradients. The Swiss common garden network complements other European experiments and broadens the potential network by extending the covered environmental gradients to colder and moister conditions. Such targeted assisted migration trials are key to promoting tree species that can cope with the future climate and can help us to foster forest ecosystems that can adapt to rapidly changing climates.
C1 [Streit, Kathrin; Brang, Peter; Frei, Esther R.] Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
   [Frei, Esther R.] WSL Inst Snow & Avalanche Res SLF, Davos, Switzerland.
   [Frei, Esther R.] Extremes & Nat Hazards Alpine Reg Res Ctr CERC, Climate Change, Davos, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; Swiss Federal Institute
   for Forest, Snow & Landscape Research; Swiss Federal Institutes of
   Technology Domain; Swiss Federal Institute for Forest, Snow & Landscape
   Research
RP Streit, K (corresponding author), Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
EM kathrin.streit@wsl.ch
RI Brang, Peter/C-8238-2009; Frei, Esther/JKH-7073-2023
OI Frei, Esther R./0000-0003-1910-7900
FU Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)
FX The authors declare that financial support was received for the
   research, authorship and/or publication of this article. Open access
   funding by Swiss Federal Institute for Forest, Snow and Landscape
   Research (WSL).
CR Abegg M., 2020, SCHWEIZERISCHES LAND
   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
   Alizoti P, 2022, FORESTS, V13, DOI 10.3390/f13020273
   Allen CD, 2015, ECOSPHERE, V6, DOI 10.1890/ES15-00203.1
   Anderegg WRL, 2013, NAT CLIM CHANGE, V3, P30, DOI 10.1038/nclimate1635
   Angst JK, 2023, DIVERSITY-BASEL, V15, DOI 10.3390/d15020262
   [Anonymous], 2005, Forest diversity and function: Temperate and boreal systems
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   Bafu, 2019, Nationaler Kataster Der Samenerntebestande Nks
   Bauhus J., 2013, Close-to-nature forest management in Europe: Does it support complexity and adaptability of forest ecosystems? In Managing forests as complex adaptive systems: Building resilience to the challenge of global change
   Bert D, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0234583
   Bertrand R, 2011, NATURE, V479, P517, DOI 10.1038/nature10548
   Binkley D, 2008, FOREST ECOL MANAG, V255, P2022, DOI 10.1016/j.foreco.2008.01.047
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Bottero A, 2021, GLOBAL CHANGE BIOL, V27, P4403, DOI 10.1111/gcb.15737
   Brang P, 2014, FORESTRY, V87, P492, DOI 10.1093/forestry/cpu018
   Brgi A., 1986, Schweiz. Z. Forstwes, V137, P833
   Brndli U.-B., 1998, Die Hufigsten Waldbume Der Schweiz. Egebnisse Aus Dem Landesforstinventar 198385: Verbreitung, Standort Und Hufigkeit Von 30 Baumarten. Berichte Der Eidgenssischen Forschungsanstalt fr Wald
   Brodribb TJ, 2020, SCIENCE, V368, P261, DOI 10.1126/science.aat7631
   Brüllhardt M, 2022, FORESTRY, V95, P201, DOI 10.1093/forestry/cpab041
   Burrows MT, 2014, NATURE, V507, P492, DOI 10.1038/nature12976
   Cailleret M, 2017, GLOBAL CHANGE BIOL, V23, P1675, DOI 10.1111/gcb.13535
   Champagne E, 2021, CURR FOR REP, V7, P305, DOI 10.1007/s40725-021-00148-5
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Choat B, 2018, NATURE, V558, P531, DOI 10.1038/s41586-018-0240-x
   Clark JS, 2016, GLOBAL CHANGE BIOL, V22, P2329, DOI 10.1111/gcb.13160
   Commarmot B., 1997, Schweizerische Zeitschrift fur Forstwesen, V148, P353
   Commarmot B., 1995, ERG 7 IUFR TANN S WP, P59
   Correia AH, 2018, FORESTS, V9, DOI 10.3390/f9100630
   de Rigo D., 2016, European Atlas of Forest Tree Species, P40, DOI DOI 10.2788/038466
   del Río M, 2021, FOREST ECOL MANAG, V479, DOI 10.1016/j.foreco.2020.118587
   Dietz L, 2022, FOREST ECOL MANAG, V503, DOI 10.1016/j.foreco.2021.119758
   Ducatillion Catherine, 2022, Annals of Silvicultural Research, V47, P30, DOI 10.12899/asr-2325
   Dumroese RK, 2015, NEW FOREST, V46, P947, DOI 10.1007/s11056-015-9504-6
   Etzold S, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00307
   Fady B, 2022, NEW FOREST, V53, P603, DOI 10.1007/s11056-022-09908-y
   Fairbridge R. W., 2005, Encyclopedia of world climatology
   FOEN, 2020, Forschungskonzept Umwelt 2021-2024
   Forrester DI, 2022, FORESTRY, V95, P166, DOI 10.1093/forestry/cpab042
   Forzieri G, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-21399-7
   Frank A, 2017, GLOBAL CHANGE BIOL, V23, P5358, DOI 10.1111/gcb.13802
   Frei E. R., 2018, Schweizerische Zeitschrift fur Forstwesen, V169, P347
   Fririon V, 2023, FOREST ECOL MANAG, V531, DOI 10.1016/j.foreco.2022.120754
   Frischbier N, 2019, EUR J FOREST RES, V138, P1015, DOI 10.1007/s10342-019-01222-1
   Glatthorn J, 2024, FOREST ECOL MANAG, V553, DOI 10.1016/j.foreco.2023.121645
   Gordon TR, 2006, PLANT PATHOL, V55, P231, DOI 10.1111/j.1365-3059.2006.01351.x
   Hagerman S, 2021, J ECOL, V109, P2309, DOI 10.1111/1365-2745.13667
   Hof AR, 2017, ECOSPHERE, V8, DOI 10.1002/ecs2.1981
   Illés G, 2022, ANN FOREST SCI, V79, DOI 10.1186/s13595-022-01154-8
   Jump AS, 2005, ECOL LETT, V8, P1010, DOI 10.1111/j.1461-0248.2005.00796.x
   Karger DN, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.122
   Kebli H., 2019, Fort-Entreprise, V249, P24
   Kebli Hedi, 2022, Revue Forestiere Francaise, V73, P523, DOI 10.20870/revforfr.2021.7104
   Klein L, 2022, RESTOR ECOL, V30, DOI 10.1111/rec.13505
   Kristfel F., 2015, Forstzeitung, P34
   Kunz J., 2015, Biodiversitt Und Klima - Vernetzung Der Akteure In Deutschland Xi
   LANGLET O, 1971, Taxon, V20, P653, DOI 10.2307/1218596
   LARSEN JB, 1986, FORSTWISS CENTRALBL, V105, P396, DOI 10.1007/BF02741748
   Ligot G, 2013, FOREST ECOL MANAG, V304, P391, DOI 10.1016/j.foreco.2013.05.050
   Mason WL, 2012, KASTAMONU UNIV J FOR, V12, P15
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McDowell NG, 2020, SCIENCE, V368, P964, DOI 10.1126/science.aaz9463
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   Merlin M, 2018, FOREST ECOL MANAG, V410, P144, DOI 10.1016/j.foreco.2018.01.001
   Mina M, 2018, J ECOL, V106, P1106, DOI 10.1111/1365-2745.12846
   Moos C, 2023, FRONT FOR GLOB CHANG, V6, DOI 10.3389/ffgc.2023.1223934
   Nyssen B., 2016, The history of introduced tree species in Europe in a nutshell in Introduced tree species to European forests: challenges and opportunities, P44
   OECD, 2024, The OECD Scheme for the Certification of Forest Reproductive Material
   ONF, 2022, RenDez-vous Techniques, V74, P1
   Palik BJ, 2022, ECOSPHERE, V13, DOI 10.1002/ecs2.4260
   Paquette A, 2018, NAT ECOL EVOL, V2, P763, DOI 10.1038/s41559-018-0544-0
   Park A, 2023, FOREST ECOL MANAG, V537, DOI 10.1016/j.foreco.2023.120854
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Prieto-Recio C., 2011, J. Agricul. Exten. Rural Develop, V4, P241
   Reynolds Chris, 2021, Quarterly Journal of Forestry, V115, P26
   Rihm Gaspard, 2023, Revue Forestiere Francaise (Nancy), V74, P495, DOI 10.20870/revforfr.2023.7900
   Sáenz-Romero C, 2017, GLOBAL CHANGE BIOL, V23, P2831, DOI 10.1111/gcb.13576
   Saltré F, 2015, GLOBAL CHANGE BIOL, V21, P897, DOI 10.1111/gcb.12771
   Sansilvestri R, 2015, ENVIRON SCI POLICY, V51, P192, DOI 10.1016/j.envsci.2015.04.005
   Schuldt B, 2020, BASIC APPL ECOL, V45, P86, DOI 10.1016/j.baae.2020.04.003
   Schwartz MW, 2012, BIOSCIENCE, V62, P732, DOI 10.1525/bio.2012.62.8.6
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   Senf C, 2021, ONE EARTH, V4, P749, DOI 10.1016/j.oneear.2021.04.008
   Senf C, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19924-1
   Sofletea N, 2015, SUMAR LIST, V139, P47
   Sousa-Silva R, 2018, FOREST POLICY ECON, V90, P22, DOI 10.1016/j.forpol.2018.01.004
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   St Clair JB, 2020, J FOREST, V118, P1, DOI 10.1093/jofore/fvz064
   Stephan BR, 1996, SILVAE GENET, V45, P342
   Turc L., 1961, Annales Agronomiques, V12, P13
   Underwood AJ., 1997, EXPT ECOLOGY, P504, DOI DOI 10.2134/JEQ1998.00472425002700010038X
   Vitasse Y, 2012, J BIOGEOGR, V39, P1439, DOI 10.1111/j.1365-2699.2012.02697.x
   Vitt P, 2010, BIOL CONSERV, V143, P18, DOI 10.1016/j.biocon.2009.08.015
   WEISGERBER H, 1992, SILVAE GENET, V41, P150
   Williams MI, 2013, J FOREST, V111, P287, DOI 10.5849/jof.13-016
   Zhu K, 2012, GLOBAL CHANGE BIOL, V18, P1042, DOI 10.1111/j.1365-2486.2011.02571.x
   Zischg AP, 2021, APPL VEG SCI, V24, DOI 10.1111/avsc.12621
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 99
TC 0
Z9 0
U1 6
U2 6
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 JUN 25
PY 2024
VL 7
AR 1396798
DI 10.3389/ffgc.2024.1396798
PG 15
WC Ecology; Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Forestry
GA YK2D3
UT WOS:001268308200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Mombauer, D
   Link, AC
   van der Geest, K
AF Mombauer, Dennis
   Link, Ann-Christine
   van der Geest, Kees
TI Addressing climate-related human mobility through NDCs and NAPs: State
   of play, good practices, and the ways forward
SO FRONTIERS IN CLIMATE
LA English
DT Article
DE human mobility; climate change; climate change adaptation; Nationally
   Determined Contributions (NDCs); national adaptation plans (NAPs); loss
   and damage; climate mobility; planning and policy
ID MIGRATION
AB Climate change is altering human mobility patterns across the globe, particularly in climate-vulnerable developing countries. With increasing recognition of the complex interlinkages between climate change and human mobility, governments and subnational authorities have begun to address this nexus in planning and policy processes, including Nationally Determined Contributions (NDCs) and National Adaptation Plans (NAPs). To better understand how human mobility is integrated into NDCs and NAPs, we analyzed 171 NDCs and 40 NAPs, and conducted 20 semi-structured interviews and 16 workshops and webinars. We find that human mobility is increasingly featured in NDCs, but only few countries propose concrete interventions to address adverse effects or promote adaptive aspects of human mobility. The study also finds that many countries primarily focus on mobility as a risk, challenge, or problem while some have incorporated positive aspects of mobility (e.g., migration as an adaptation strategy). Through six concise case studies, the paper focuses on good practices from specific NDCs and NAPs that can enhance the integration of human mobility in a range of priority policy sectors for adaptation and loss and damage. To move forward, interviewees and workshop participants emphasized the need for adequate finance, institutional capacities, and data to strengthen the integration of human mobility into NDCs and NAPs. There is a need to identify and better understand potential policy interventions at the local, national, and global level, and to assess their impact and map potential synergies.
C1 [Mombauer, Dennis] SLYCAN Trust, Colombo, Sri Lanka.
   [Link, Ann-Christine; van der Geest, Kees] United Nations Univ Inst Environm & Human Secur UN, Bonn, Germany.
RP Mombauer, D (corresponding author), SLYCAN Trust, Colombo, Sri Lanka.
EM dennis@slycantrust.org
RI Geest, Kees/GWM-4976-2022
CR Afifi T., 2016, Migration and Development, V5, P254, DOI [DOI 10.1080/21632324.2015.1022974, 10.1080/21632324, DOI 10.1080/21632324]
   [Anonymous], 2011, CANC AGR OUTC WORK A
   [Anonymous], 2002, Report of the Conference of the Parties on its Seventh Session
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Boas I., 2019, ENHANCING NDCS GUIDE
   Boas I, 2019, NAT CLIM CHANGE, V9, P901, DOI 10.1038/s41558-019-0633-3
   Lebbe TB, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.740602
   Durand-Delacre D., 2021, Negotiating Climate Change in Crisis, P63, DOI [10.11647/OBP.0265.06, DOI 10.11647/OBP.0265.06]
   Elliott L., 2010, CLIMATE CHANGE DISPL
   Evertsen KF, 2020, CLIM DEV, V12, P12, DOI 10.1080/17565529.2019.1596059
   Farbotko C, 2018, AUST GEOGR, V49, P247, DOI 10.1080/00049182.2017.1385119
   Federal Democratic Republic of Ethiopia, 2019, ETH CLIM RES GREEN E
   Fransen T., 2019, ENHANCING NDCS GUIDE, DOI [10.46830/wrirpt.19.00021, DOI 10.46830/WRIRPT.19.00021]
   Gemenne F, 2017, GEOGR J, V183, P336, DOI 10.1111/geoj.12205
   Government of Guatemala, 2018, PLAN ACC NAC CAMB CL
   Government of Papua New Guinea, 2020, PAP NEW GUIN ENH NAT
   Government of Vanuatu, 2022, VAN REV ENH 1 NAT DE
   Government of Zimbabwe, 2021, ZIMB REV NAT DET CON
   Hoffmann R, 2020, NAT CLIM CHANGE, V10, P904, DOI 10.1038/s41558-020-0898-6
   Internal Displacement Monitoring Center, 2022, Global report on internal displacement 2022
   IOM, 2016, MIGR INT NAT DET CON
   IOM, 2018, MAPP HUM MOB CLIM CH
   IOM UNDP UNEP, 2021, INT MIGR ENV CLIM CH
   Martin MA, 2022, GLOB SUSTAIN, V5, DOI 10.1017/sus.2022.17
   McLeman R., 2018, Routledge Handbook of Environmental Displacement and Migration
   Oakes R, 2022, EARTH SYST GOV CUP, P249
   Republic of Fiji, 2018, REP FIJ NAT AD PLAN
   Rigaud K., 2021, GROUNDSWELL AFRICA D, DOI [10.1596/36446, DOI 10.1596/36446]
   SLYCAN Trust, 2022, Scoping paper: Integrating climate -related human mobility into nationally determined contributions and national adaptation plans. Human mobility in the context of climate change #5
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Thalheimer L, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001958
   UNFCCC, 2015, PAR AGR
   United Nations Framework Convention on Climate Change (UNFCCC), 2012, FCCC/TP/2012/7
   Vinke K, 2020, MIGR STUD, V8, P626, DOI 10.1093/migration/mnaa029
   Warner K., 2012, EVIDENCE FRONTLINES
   Warner K., 2014, Integrating Human Mobility Issues Within National Adaptation Plans" Policy Brief No.9
NR 36
TC 4
Z9 4
U1 3
U2 3
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2624-9553
J9 FRONT CLIM
JI Front. Clim.
PD MAR 14
PY 2023
VL 5
AR 1125936
DI 10.3389/fclim.2023.1125936
PG 14
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA K8ZF3
UT WOS:001019257900001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Proença, SB
   Dal Cin, F
   Monteiro, CV
   Franco, MI
   Silva, MM
   Al Mushayt, NS
AF Proenca, Sergio Barreiros
   Dal Cin, Francesca
   Monteiro, Cristiana Valente
   Franco, Maria Ines
   Silva, Maria Matos
   Al Mushayt, Nawaf Saeed
TI The Urban Public Space between Land and Sea: The Case of Quarteira,
   Portugal
SO LAND
LA English
DT Article
DE Portugal; coastal public space; seashore street; urban adaptation
ID LEVEL RISE; COASTAL INFRASTRUCTURE; ADAPTATION; CITIES; EVOLUTION
AB Among the European coastal territories most vulnerable to the effects of mean sea level rise, such as flooding and erosion phenomena, are the 943 km of the Portuguese coastline where approximately 70 per cent of the population lives (Bigotte et al, 2014), a percentage that rises to around 80 per cent in the summer months, due to tourism (Andrade et al, 2002), especially in the Algarve region (southern Portugal). The case study of this research is the urban public space in the coastal city of Quarteira, which is particularly vulnerable. This space between the land and the sea has been recently framed in the inter-municipal climate change adaptation plan PIAAC-AMAL (Plano Intermunicipal de Adaptacao as Alteracoes Climaticas do Algarve). The aim of the article is to explore the natural and anthropogenic process of formation and transformation of the urban space between the land and sea that occurred over time, up to the definition of the seashore street. Interpretative drawing is used as a methodology to understand the form of the public space. This is considered the first step for designing the public space between the land and the sea that deals both with the effects of climate change and the seasonal cycles of summer tourism. Through this analysis, it is argued that the understanding of the form (morphological characteristics) of this continuous space between land and sea is fundamental for consistent and robust adaptation design.
C1 [Proenca, Sergio Barreiros; Dal Cin, Francesca; Silva, Maria Matos; Al Mushayt, Nawaf Saeed] Univ Lisbon, CIAUD Res Ctr Architecture Urbanism & Design, Lisbon Sch Architecture, P-1349063 Lisbon, Portugal.
   [Monteiro, Cristiana Valente; Franco, Maria Ines] Univ Lisbon, Lisbon Sch Architecture, P-1349063 Lisbon, Portugal.
C3 Universidade de Lisboa; Universidade de Lisboa
RP Proença, SB (corresponding author), Univ Lisbon, CIAUD Res Ctr Architecture Urbanism & Design, Lisbon Sch Architecture, P-1349063 Lisbon, Portugal.
EM sergioproenca@edu.ulisboa.pt
RI Dal Cin, Francesca/ISV-0193-2023; Matos Silva, Maria/J-8217-2016
OI Matos Silva, Maria/0000-0003-4608-3975; Dal Cin,
   Francesca/0000-0001-8413-0838; Al Mushayt, Nawaf/0000-0002-1115-2451;
   Barreiros Proenca, Sergio/0000-0002-4412-1969; Valente Monteiro,
   Cristiana/0000-0002-3839-9737
FU FCT-Fundacao para a Ciencia e a Tecnologia, I.P. [UIDB/04008/2020,
   UIDP/04008/2020]
FX This work is financed by national funds through FCT-Fundacao para a
   Ciencia e a Tecnologia, I.P., under the Strategic Project with the
   references UIDB/04008/2020 and UIDP/04008/2020.
CR Almeida C., 1992, GEOLIS REV SECCAO GE, VVI, P61
   Andrade C., 2002, Climate Change in Portugal. Scenarios, P175
   [Anonymous], 2020, ESTRATEGIA NACL ADAP
   Antunes C, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9050239
   Antunes C, 2019, J MAR SCI ENG, V7, DOI 10.3390/jmse7030061
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Batty M, 2009, ENVIRON PLANN B, V36, P954, DOI 10.1068/b3606ed
   Bigotte JF, 2014, INT REGIONAL SCI REV, V37, P149, DOI 10.1177/0160017614524226
   Braz Teixeira S., 2004, PROJECTO VALORIZACAO
   Carter R.W.G., 1988, COASTAL ENV
   Chapapría VE, 2021, LAND-BASEL, V10, DOI 10.3390/land10121344
   Church JA, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P639
   Correia F., 1994, Gaia (Lisboa), V9, P119
   Correia F., 1995, P 8O CONGRESSO ALGAR, P405
   Dal Cin F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12208559
   Dorrell R., 2010, SEA LEVEL RISE, P363
   Fabbri P., 1990, RECREATIONAL USES CO, V12, P287
   Ferreira O, 2008, J COASTAL RES, V24, P317, DOI 10.2112/07A-0006.1
   Gandelosonas M., 1998, ASSEMBLAGE, V37, P128
   Giovinazzi O, 2010, TEMA, V3, P57
   Griggs G, 2021, WATER-SUI, V13, DOI 10.3390/w13162151
   Hallegatte S, 2011, CLIMATIC CHANGE, V104, P113, DOI 10.1007/s10584-010-9978-3
   Han H, 2022, WATER-SUI, V14, DOI 10.3390/w14071159
   Hanson S, 2011, CLIMATIC CHANGE, V104, P89, DOI 10.1007/s10584-010-9977-4
   Hill K, 2015, FRONT ECOL ENVIRON, V13, P468, DOI 10.1890/150088
   Hurlimann A, 2014, LANDSCAPE URBAN PLAN, V126, P84, DOI 10.1016/j.landurbplan.2013.12.013
   INE-Instituto Nacional de Estatistica (Statistics Portugal), US
   Johnston A, 2014, OCEAN COAST MANAGE, V95, P176, DOI 10.1016/j.ocecoaman.2014.04.016
   Lee Y., 2014, J BUILDING CONSTRUCT, V2, P74, DOI [10.4236/jbcpr.2014.21007, DOI 10.4236/JBCPR.2014.21007]
   Lira CP, 2016, EARTH SYST SCI DATA, V8, P265, DOI 10.5194/essd-8-265-2016
   Lobo S., 2018, ARCHITECTURE LEISURE, P14
   Magnan AK, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-14303-w
   Marques F., 1997, THESIS U LISBOA LISB
   Neumann B, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0118571
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Pereira J.A., FORMACAO OCUPACAO LI
   Petrisor AI, 2020, LAND-BASEL, V9, DOI 10.3390/land9080275
   Plano Intermunicipal de Adaptacao as Alteracoes Climaticas do Algarve, 2019, US
   Pranzini E., 2013, COASTAL EROSION PROT, P427
   Proenca S.B., 2014, THESIS U TECNICA LIS
   Proenca S.B., 2018, HAPPINESS BUILT ENV, V1, P65
   Relvas D., 2010, THESIS U COIMBRA COI
   ROCHA Edgar., 1984, Analise Social, V20, P621
   Sampath D., 2019, P C PLAN GEST ZON CO
   Santos FD, 2014, REG ENVIRON CHANGE, V14, pS1, DOI 10.1007/s10113-013-0551-2
   Small C, 2003, J COASTAL RES, V19, P584
   Taborda R., 2000, THESIS U LISBOA LISB, P366
   Todd PA, 2019, OIKOS, V128, P1215, DOI 10.1111/oik.05946
   Vousdoukas MI, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15665-3
   Xu Y, 2017, LANDSCAPE URBAN PLAN, V167, P212, DOI 10.1016/j.landurbplan.2017.06.018
NR 50
TC 4
Z9 4
U1 1
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAR
PY 2023
VL 12
IS 3
AR 539
DI 10.3390/land12030539
PG 15
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA D4EJ5
UT WOS:000968274900001
OA gold
DA 2025-01-10
ER

PT J
AU Wibawanti, E
   Sartohadi, J
   Ngadisih, N
   Setiawan, MA
   Mardiatno, D
AF Wibawanti, Erny
   Sartohadi, Junun
   Ngadisih, Ngadisih
   Setiawan, Muhammad Anggri
   Mardiatno, Djati
TI The Effectiveness of "ProKlim"in Controlling Landslide by Vegetative
   Method in the Sambak Village, Kajoran, Magelang
SO AGRITECH
LA English
DT Article
DE Effectiveness; disaster; landslide; ProKlim; vegetative
AB Engagement of the community at Sambak Village in climate change adaptation and mitigation has been recognized with the ProKlim Award. Sambak is located in the transition zone of the Sumbing Volcano and Menorah Mountains, making it is prone to erosion, landslides, and drought. Therefore, this study focused on assessment the effectiveness of ProKlim activities in the context of landslide mitigation by using vegetative method. The identification of landslides distribution was carried out through a visual interpretation of aerial photographs followed by a field work which was employed to construct a landslide susceptibility map using the frequency ratio method. Landslide control identification was performed by involving community. The spatial pattern was determined by the nearest neighbor analysis method. The effectiveness analysis emphasized identifying landslide control points through tree planting activities in landslide-prone areas. This study showed that tree planting activities was not conducted in areas at risk of landslides. Based on the results, there were 42 landslides on the slopes of 15-25 & DEG; and 8-15 & DEG;, dry land agricultural cover, shrubs, and open land, the direction of the slope towards southeast and east, curvature profile (+) and (-), the distance by road 100-200 and 200-300 m, and the distance to the river < 150 m. The AUC value of susceptibility model validation was 0.66, while tree planting distribution in the vegetative landslide control was found in mixed garden land cover and secondary dry forests. The landslides and tree planting distribution had a random spatial pattern.
C1 [Wibawanti, Erny] Univ Gadjah Mada, Program Studi Geoinformasi Untuk Manajemen Bencana, Ilmu Lingkungan Sekolah Pascasarjana, Jl Teknika Utara, Yogyakarta 55284, Indonesia.
   [Sartohadi, Junun] Univ Gadjah Mada, Fak Pertanian, Dept Ilmu Tanah, Jl Flora 1, Yogyakarta 55281, Indonesia.
   [Ngadisih, Ngadisih] Univ Gadjah Mada, Fak Teknol Pertanian, Dept Teknik Pertanian & Biosistem, Jl Flora 1, Yogyakarta 55281, Indonesia.
   [Setiawan, Muhammad Anggri; Mardiatno, Djati] Univ Gadjah Mada, Fak Geografi, Dept Geografi & Ilmu Lingkungan, Jl Kaliurang Sekip Utara, Yogyakarta 55281, Indonesia.
C3 Gadjah Mada University; Gadjah Mada University; Gadjah Mada University;
   Gadjah Mada University
RP Ngadisih, N (corresponding author), Univ Gadjah Mada, Fak Teknol Pertanian, Dept Teknik Pertanian & Biosistem, Jl Flora 1, Yogyakarta 55281, Indonesia.
EM ngadisih@ugm.ac.id
RI Ngadisih, Ngadisih/GQZ-0097-2022; Sartohadi, Junun/GQI-1617-2022;
   Mardiatno, Djati/AFA-5829-2022
CR [ BBLSLP] Balai Besar Litbang Sumberdaya Lahan Pertanian, 2019, PET TEKN TEKN PENG L
   [ BPBD] Badan Penanggulangan Bencana Daerah Kabupaten Magelang, 2021, TAB KEJ BENC KAB MAG
   Çevik E, 2003, ENVIRON GEOL, V44, P949, DOI 10.1007/s00254-003-0838-6
   Chauhan S, 2010, INT J APPL EARTH OBS, V12, P340, DOI 10.1016/j.jag.2010.04.006
   Das I, 2010, GEOMORPHOLOGY, V114, P627, DOI 10.1016/j.geomorph.2009.09.023
   Dickie Amy., 2014, Strategies for Mitigating Climate Change in Agriculture: Abridged Report
   Eisenhauer D. C., 2020, INT ENCY HUMAN GEOGR, V2
   Hardiyatmo H. C., 2012, TANAH LONGSOR DAN ER
   Hong HY, 2017, GEOCARTO INT, V32, P139, DOI 10.1080/10106049.2015.1130086
   IPCC, 2007, Climate Change 2007: The Physical Science Basis
   Islam MA, 2020, GEOTECH SP, P106
   Javier DN, 2019, INT ARCH PHOTOGRAMM, V42-3, P173, DOI 10.5194/isprs-archives-XLII-3-W8-173-2019
   Karnawati D., 2005, Bencana Alam Gerakan Massa Tanah di Indonesia dan Upaya Penanggulangannya: Yogyakarta, Jurusan Teknik Geologi
   Kementerian Lingkungan Hidup dan Kehutanan, 2015, PER DIR JEND PLAN KE
   Lin W, 2021, NAT HAZARDS, V106, P679, DOI 10.1007/s11069-020-04483-x
   Masruroh H., 2016, MAJALAH GEOGRAFI IND, V9, P169, DOI 10.22146/mgi.15640
   Meiarti R., 2018, JURNAL GEOGRAFI EDUK, V2
   Naseer S, 2021, NAT HAZARDS, V106, P965, DOI 10.1007/s11069-021-04502-5
   Ngadisih, 2014, GEORISK, V8, P29, DOI 10.1080/17499518.2013.826030
   Noviyanto A., 2020, THESIS U GADJAH MADA
   Pulungan N. A., 2018, Journal of Environments, V5, P1, DOI [10.20448/journal.505.2018.51.1.7, DOI 10.20448/JOURNAL.505.2018.51.1.7, https://doi.org/10.20448/journal.505.2018.51.1.7]
   Purwaningsih R, 2020, LAND-BASEL, V9, DOI 10.3390/land9090327
   Rabby YW, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12172718
   Saha AK, 2002, INT J REMOTE SENS, V23, P357, DOI 10.1080/01431160010014260
   Salganik MJ, 2004, SOCIOL METHODOL, V34, P193, DOI 10.1111/j.0081-1750.2004.00152.x
   Samodra G, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6475-2
   Spiekermann RI, 2021, J ENVIRON MANAGE, V286, DOI 10.1016/j.jenvman.2021.112194
   Wubalem A, 2021, GEOENVIRONMENTAL DIS, V8, DOI 10.1186/s40677-020-00170-y
   Yalcin A, 2008, CATENA, V72, P1, DOI 10.1016/j.catena.2007.01.003
NR 29
TC 0
Z9 0
U1 0
U2 1
PU UNIV GADJAH MADA, FAC AGRICULTURAL TECHNOLOGY
PI Yogyakarta
PA Jl Flora no 1 Bulaksumur, Yogyakarta, 55281, INDONESIA
SN 0216-0455
EI 2527-3825
J9 AGRITECH
JI Agritech
PY 2023
VL 43
IS 2
BP 105
EP 115
DI 10.22146/agritech.72009
PG 11
WC Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA K6IE4
UT WOS:001017448800001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Kilwenge, R
   Adewopo, J
   Sun, ZL
   Schut, M
AF Kilwenge, Regina
   Adewopo, Julius
   Sun, Zhanli
   Schut, Marc
TI UAV-Based Mapping of Banana Land Area for Village-Level Decision-Support
   in Rwanda
SO REMOTE SENSING
LA English
DT Article
DE Rwanda; banana; machine learning; UAV; remote sensing; land cover
   mapping; precision agriculture; food security; BXW
ID VEGETATION; OPPORTUNITIES; CHALLENGES; ACCURACY
AB Crop monitoring is crucial to understand crop production changes, agronomic practice decision-support, pests/diseases mitigation, and developing climate change adaptation strategies. Banana, an important staple food and cash crop in East Africa, is threatened by Banana Xanthomonas Wilt (BXW) disease. Yet, there is no up-to-date information about the spatial distribution and extent of banana lands, especially in Rwanda, where banana plays a key role in food security and livelihood. Therefore, delineation of banana-cultivated lands is important to prioritize resource allocation for optimal productivity. We mapped the spatial extent of smallholder banana farmlands by acquiring and processing high-resolution (25 cm/px) multispectral unmanned aerial vehicles (UAV) imageries, across four villages in Rwanda. Georeferenced ground-truth data on different land cover classes were combined with reflectance data and vegetation indices (NDVI, GNDVI, and EVI2) and compared using pixel-based supervised multi-classifiers (support vector models-SVM, classification and regression trees-CART, and random forest-RF), based on varying ground-truth data richness. Results show that RF consistently outperformed other classifiers regardless of data richness, with overall accuracy above 95%, producer's/user's accuracies above 92%, and kappa coefficient above 0.94. Estimated banana farmland areal coverage provides concrete baseline for extension-delivery efforts in terms of targeting banana farmers relative to their scale of production, and highlights opportunity to combine UAV-derived data with machine-learning methods for rapid landcover classification.
C1 [Kilwenge, Regina; Adewopo, Julius; Schut, Marc] Int Inst Trop Agr IITA, KG 563 ST,POB 1269, Kigali, Rwanda.
   [Sun, Zhanli] Leibniz Inst Agr Dev Transit Econ IAMO, D-06120 Halle, Saale, Germany.
   [Schut, Marc] Wageningen Univ, Knowledge Technol & Innovat Grp, POB 8130, NL-6700 EW Wageningen, Netherlands.
C3 Leibniz Association; Leibniz Institut fur Agrarentwicklung in
   Transformationsokonomien (IAMO); Wageningen University & Research
RP Adewopo, J (corresponding author), Int Inst Trop Agr IITA, KG 563 ST,POB 1269, Kigali, Rwanda.
EM reginakil-wenge@gmail.com; j.adewopo@cgiar.org; sun@iamo.de;
   m.schut@cgiar.org
RI Sun, Zhanli/AAM-7015-2020; Schut, Marc/F-5488-2012
OI Sun, Zhanli/0000-0001-6204-4533; Schut, Marc/0000-0002-3361-4581;
   Kilwenge, Regina Kavive/0000-0002-8197-6018; Adewopo,
   Julius/0000-0003-4831-2823
FU German Federal Ministry for Economic Cooperation and Development (BMZ);
   Deutsche Gesellschaft fuer Internationale Zusammenarbeit (GIZ) Fund for
   International Agricultural Research (FIA) [81219434]
FX This work received financial support from the German Federal Ministry
   for Economic Cooperation and Development (BMZ) commissioned and
   administered through the Deutsche Gesellschaft fuer Internationale
   Zusammenarbeit (GIZ) Fund for International Agricultural Research (FIA),
   grant number 81219434.
CR Adewopo J, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10121934
   Ali D.A., 2018, EVIDENCE RWANDA LAND, V94, P343, DOI [10.1596/1813-9450-6770, DOI 10.1596/1813-9450-6770]
   Awokuse T.O., 2019, AGR APPL EC ASS P 20, V63
   Bannari A., 1995, Remote Sensing Reviews, V13, P95, DOI [10.1080/02757259509532298, DOI 10.1080/02757259509532298]
   Breiman L, 2001, MACH LEARN, V45, P5, DOI 10.1023/A:1010933404324
   Chen YL, 2018, INT J APPL EARTH OBS, V69, P133, DOI 10.1016/j.jag.2018.03.005
   Chew R, 2020, DRONES-BASEL, V4, DOI 10.3390/drones4010007
   Cihlar J, 2000, INT J REMOTE SENS, V21, P1093, DOI 10.1080/014311600210092
   Clevers JGPW, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9050405
   Eitelberg DA, 2015, GLOBAL CHANGE BIOL, V21, P1236, DOI 10.1111/gcb.12733
   FAO, 2018, STAT FOOD SEC NUTR W, P820
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Foody GM, 2004, REMOTE SENS ENVIRON, V93, P107, DOI 10.1016/j.rse.2004.06.017
   Foody GM, 2002, REMOTE SENS ENVIRON, V80, P185, DOI 10.1016/S0034-4257(01)00295-4
   Gitelson AA, 1996, REMOTE SENS ENVIRON, V58, P289, DOI 10.1016/S0034-4257(96)00072-7
   Gumma MK, 2011, J APPL REMOTE SENS, V5, DOI 10.1117/1.3619838
   Guo W, 2013, COMPUT ELECTRON AGR, V96, P58, DOI 10.1016/j.compag.2013.04.010
   Hall O, 2018, DRONES-BASEL, V2, DOI 10.3390/drones2030022
   Hegarty-Craver M, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12121984
   Hsu C.-W., 2003, PRACTICAL GUIDE SUPP
   Huang C, 2002, INT J REMOTE SENS, V23, P725, DOI 10.1080/01431160110040323
   Jiang ZY, 2008, REMOTE SENS ENVIRON, V112, P3833, DOI 10.1016/j.rse.2008.06.006
   Löw F, 2013, ISPRS J PHOTOGRAMM, V85, P102, DOI 10.1016/j.isprsjprs.2013.08.007
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Lu D, 2007, INT J REMOTE SENS, V28, P823, DOI 10.1080/01431160600746456
   Castillejo-González IL, 2009, COMPUT ELECTRON AGR, V68, P207, DOI 10.1016/j.compag.2009.06.004
   McCampbell M, 2018, NJAS-WAGEN J LIFE SC, V86-87, P89, DOI 10.1016/j.njas.2018.03.002
   Mondal P, 2011, ECOL INDIC, V11, P918, DOI 10.1016/j.ecolind.2010.10.006
   Monfreda C, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002947
   Neupane B, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223906
   Noi PT, 2018, SENSORS-BASEL, V18, DOI 10.3390/s18010018
   PRAAGMAN J, 1985, EUR J OPER RES, V19, P144, DOI 10.1016/0377-2217(85)90321-2
   Quinlan J. R., 1986, Machine Learning, V1, P81, DOI 10.1023/A:1022643204877
   Raeva PL, 2019, EUR J REMOTE SENS, V52, P192, DOI 10.1080/22797254.2018.1527661
   Rodriguez-Galiano VF, 2012, ISPRS J PHOTOGRAMM, V67, P93, DOI 10.1016/j.isprsjprs.2011.11.002
   Rogan J, 2008, REMOTE SENS ENVIRON, V112, P2272, DOI 10.1016/j.rse.2007.10.004
   Salami A., 2010, 105 AFR DEV BANK
   Svotwa E., 2013, INT SCHOLARLY RES NO, V2013, P1, DOI [10.1155/2013/941873, DOI 10.1155/2013/941873]
   Talukdar S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12071135
   Tittonell P, 2005, AGR ECOSYST ENVIRON, V105, P213, DOI 10.1016/j.agee.2004.04.002
   Tripathi L, 2009, AFR J BIOTECHNOL, V8, P5343
   Tripicchio P, 2015, 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS IE 2015, P140, DOI 10.1109/IE.2015.29
   Tsouros DC, 2019, INFORMATION, V10, DOI 10.3390/info10110349
   TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0
   Tuyishime C., 2020, RWANDA FOOD AGR POLI
   Useya J, 2019, IEEE ACCESS, V7, P53603, DOI 10.1109/ACCESS.2019.2912807
   Weersink A, 2018, ANNU REV RESOUR ECON, V10, P19, DOI 10.1146/annurev-resource-100516-053654
   Zhao LC, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11243012
NR 48
TC 7
Z9 7
U1 0
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
J9 REMOTE SENS-BASEL
JI Remote Sens.
PD DEC
PY 2021
VL 13
IS 24
AR 4985
DI 10.3390/rs13244985
PG 15
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 XZ1KO
UT WOS:000737419500001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Mitchell, D
   Barth, B
   Ho, S
   Sait, MS
   McEvoy, D
AF Mitchell, David
   Barth, Bernhard
   Ho, Serene
   Sait, M. Siraj
   McEvoy, Darryn
TI The Benefits of Fit-for-Purpose Land Administration for Urban Community
   Resilience in a Time of Climate Change and COVID-19 Pandemic
SO LAND
LA English
DT Article
DE fit-for-purpose land administration; rapid urbanization; climate change;
   pandemic; urban resilience
ID SETTLEMENTS; STRATEGIES; LANDSCAPES
AB The major global pressures of rapid urbanization and urban growth are being compounded by climate impacts, resulting in increased vulnerability for urban dwellers, with these vulnerabilities exacerbated during the COVID-19 pandemic. Much of this is concentrated in urban and peri-urban areas where urban development spreads into hazard-prone areas. Often, this development is dominated by poor-quality homes in informal settlements or slums with poor tenure security. Lessons from a resilience-building project in the Pacific shows that a fit-for-purpose (FFP) approach to land administration can provide solutions by increasing the number of households with security of tenure, and consequently, improving resilience outcomes as informal settlements grow. This paper specifically discusses the influence of FFP land administration on reducing vulnerabilities to external shocks, such as climate change and COVID-19. It proposes ways to be better manage urban growth through the responsible governance of land tenure rights and more effective land-use planning to improve resilience to multiple shocks and stresses, hence, delivering improved access to safe land and shelter. Land administration systems can contribute to enhanced resilience to the shocks of climate extremes and pandemics by improving tenure security and enhancing land-use planning controls. It is argued that climate change adaptation and disaster risk reduction need to be better mainstreamed into two major elements of land governance: (i) securing and safeguarding of land rights, and (ii) planning and control of land use.
C1 [Mitchell, David; Ho, Serene] RMIT Univ, Sch Sci, Geospatial Sci, Melbourne, Vic 3000, Australia.
   [Barth, Bernhard] Reg Off Asia & Pacific, UH Habitat, Fukuoka 8100001, Japan.
   [Sait, M. Siraj] Univ East London, Noon Ctr Equal & Divers, London E16 2RD, England.
   [McEvoy, Darryn] RMIT Univ, Sch Engn, Melbourne, Vic 3000, Australia.
C3 Royal Melbourne Institute of Technology (RMIT); University of East
   London; Royal Melbourne Institute of Technology (RMIT)
RP Mitchell, D (corresponding author), RMIT Univ, Sch Sci, Geospatial Sci, Melbourne, Vic 3000, Australia.
EM david.mitchell@rmit.edu.au; bernhard.barth@un.org;
   serene.ho2@rmit.edu.au; s.sait@uel.ac.uk; darryn.mcevoy@rmit.edu.au
RI McEvoy, Darryn/K-8015-2017; Mitchell, David/N-4148-2016
OI McEvoy, Darryn/0000-0003-4144-4137; Mitchell, David/0000-0002-8782-6440;
   Ho, Serene/0000-0002-0652-6279
FU UNFCCC Adaptation Fund; School of Land Administration Studies,
   University of Twente; Kadaster International. the Netherlands
FX The Climate Resilient Honiara is funded by the UNFCCC Adaptation Fund
   and administered by UN-Habitat. Funding of the publication costs for
   this article has kindly been provided by the School of Land
   Administration Studies, University of Twente, in combination with
   Kadaster International. the Netherlands.
CR Acuto M, 2020, ONE EARTH, V2, P317, DOI 10.1016/j.oneear.2020.04.004
   ADB, 2014, PAC EC MON JUL 2014
   Andrew NL, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223249
   [Anonymous], 2021, LANCET PLANET HEALTH, V5, pE1, DOI 10.1016/S2542-5196(20)30305-3
   [Anonymous], 2018, Instability in the Pacific Islands: A Status Report'
   APAN, 2013, APAN REP AD CHALL PA
   Chigbu UE, 2021, TOWN PLAN REV, V92, P115, DOI 10.3828/tpr.2020.74
   Chin A, 2020, ANTHROPOCENE, V30, DOI 10.1016/j.ancene.2020.100247
   Cooper DH, 2022, INT J SOCIOL SOC POL, V42, P332, DOI 10.1108/IJSSP-07-2020-0360
   Corburn J, 2020, J URBAN HEALTH, V97, P348, DOI 10.1007/s11524-020-00438-6
   Di Marco M, 2020, P NATL ACAD SCI USA, V117, P3888, DOI 10.1073/pnas.2001655117
   Dodman David., 2013, Human Settlements Discussion Paper Series Climate Change and Cities, V4
   El Hamichi S, 2020, GRAEF ARCH CLIN EXP, V258, P2597, DOI 10.1007/s00417-020-04947-7
   Enemark S., 2016, Fit-For-Purpose land administration guiding principles for country implementation. pdf
   FAO, 2022, Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security, DOI [10.4060/i2801, DOI 10.4060/I2801]
   Farha L., 2021, HOUSING FRONT LINE D
   Foukona J, 2015, J PAC HIST, V50, P504, DOI 10.1080/00223344.2015.1110328
   Huchzermeyer Marie., 2006, Informal Settlements: A Perpetual Challenge?, P1
   International Institute for Rural Reconstruction (IIRR), 2012, HANDL LAND INN TOOLS
   Jones P, 2012, URBAN POLICY RES, V30, P145, DOI 10.1080/08111146.2012.664930
   Kiddle GL, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9101878
   Lengoiboni M, 2021, LAND-BASEL, V10, DOI 10.3390/land10040414
   McEvoy D., 2020, URBANISATION RISK PA, P53
   McEvoy D, 2020, CLIM DEV, V12, P1, DOI 10.1080/17565529.2019.1594666
   Mitchell D., 2019, LAND TENURE CLIMATE
   Mitchell D, 2015, LAND USE POLICY, V48, P190, DOI 10.1016/j.landusepol.2015.05.026
   Moraci F, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187743
   Murray KA, 2013, CURR OPIN VIROL, V3, P79, DOI 10.1016/j.coviro.2013.01.006
   National Statistics Office, 2020, PROV COUNT 2019 NAT
   Nicola M, 2020, INT J SURG, V78, P185, DOI 10.1016/j.ijsu.2020.04.018
   Oliver-Smith A., 2014, FORCED MIGRATION REV, V45
   PACCSAP, 2014, CLIM VAR EXTR CHANG
   Patz JA, 2004, ENVIRON HEALTH PERSP, V112, P1092, DOI 10.1289/ehp.6877
   Penrose K, 2010, PLOS NEGLECT TROP D, V4, DOI 10.1371/journal.pntd.0000631
   Plowright RK, 2021, LANCET PLANET HEALTH, V5, pE237, DOI 10.1016/S2542-5196(21)00031-0
   Sait M.S., 2021, SHOULD MONROVIAN COM, P339
   Terraube J, 2020, CURR OPIN ENV SUST, V46, P35, DOI 10.1016/j.cosust.2020.08.014
   Trundle A., 2017, HONIARA URBAN RESILI
   UN Habitat, 2021, CIT PAND MOR JUST GR
   UN-Habitat, 2020, RAP ASS COV 19 INF S
   UN-Habitat, 2020, Climate Change Vulnerability and Risk-A Guide for Community Assessments, Action Planning and Implementation
   Unger E., 2019, P 2019 WORLD BANK C
   Unger EM, 2017, SURV REV, V49, P437, DOI 10.1080/00396265.2016.1212160
   USAID, 2020, IMP COVID 19 WOMENS
   Wilkinson A, 2020, ENVIRON URBAN, V32, P503, DOI 10.1177/0956247820922843
   Wilson C, 2020, DEMANDING FUTURE NAV
   Yohe GW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P811
NR 47
TC 17
Z9 17
U1 6
U2 46
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD JUN
PY 2021
VL 10
IS 6
AR 563
DI 10.3390/land10060563
PG 19
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA SY6NP
UT WOS:000666002600001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Montiel-González, C
   Montiel, C
   Ortega, A
   Pacheco, A
   Bautista, F
AF Montiel-Gonzalez, Cristina
   Montiel, Carlos
   Ortega, Alba
   Pacheco, Aristeo
   Bautista, Francisco
TI Development and validation of climatic hazard indicators for roselle
   (<i>Hibiscus sabdariffa</i> L.) crop in dryland agriculture
SO ECOLOGICAL INDICATORS
LA English
DT Article
DE Meteorological conditions; Extreme events; Climate change adaptation;
   Field crops; Artificial intelligence; Climatic hazard equation
ID TEMPERATURE; DROUGHT; YIELDS
AB Two of the major challenges in achieving food security in the future are: (1) the increase in demand for food due to constant high population growth and (2) the increase in adverse climatic conditions, due to global climate change, that will affect crops. Currently, no universal indicators are available to identify the effect of extreme climate events on specific crops of nutritional and commercial importance, as they need to be developed according to each species' physiology. Likewise, it is necessary to develop production qualifiers that allow us to identify whether the agricultural year presents high or low climatic hazards for a specific crop. In this study of roselle (Hibiscus sabdariffa L.) grown in dryland agricultural conditions in the Bajo Balsas, Michoacan, Mexico, we aimed to 1) generate and validate climatic hazard indicators and 2) propose an equation to calculate annual climatic hazards, considering the different phenological crop stages.
   We present both phenological and climatic information that is used for the development of 13 agmclimatic hazard indicators that have been proposed for the mselle crop in La Huacana a municipality in Michoacan. Artificial intelligence and neural networks were used for both weight variable identification in the equation and to validate the annual classification, which is derived from the proposed equation. Our proposed equation for the quick assessment of agmclimatic hazards for the mselle crop is a new tool that helps in planning and decision-making in the face of the growing presence of extreme climate events.
C1 [Montiel-Gonzalez, Cristina; Montiel, Carlos; Ortega, Alba; Bautista, Francisco] Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Antigua Carretera Patzcuaro, Morelia 58190, Michoacan, Mexico.
   [Pacheco, Aristeo] S RL CV, Skiu Acts Sci, Morelia, Michoacan, Mexico.
C3 Universidad Nacional Autonoma de Mexico
RP Bautista, F (corresponding author), Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Antigua Carretera Patzcuaro, Morelia 58190, Michoacan, Mexico.
EM leptosol@ciga.unam.mx
RI Montiel, Cristina/AAC-5271-2022; Montiel Gonzalez,
   Cristina/JYP-4921-2024; Bautista, Francisco/L-8689-2018
OI Bautista, Francisco/0000-0001-9128-5803; Montiel-Gonzalez,
   Cristina/0000-0002-5832-8215
FU CONACYT-SEMARNAT funds [0263006]
FX This work was supported by the CONACYT-SEMARNAT funds for the project
   "Prospeccion territorial ante escenarios de cambio climatico en cuencas
   de alta vulnerabilidad: bases para el manejo de informaciOn y la
   integracion intersectorial" [grant number 0263006].
CR Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   [Anonymous], 2018, AV SIEMBR COS RES ES
   [Anonymous], 2010, TEMPORAL DATA MINING
   Ariza-Flores R, 2014, REV FITOTEC MEX, V37, P181
   Arora R., 2012, Int. J. Comput. Appl., V54
   Arriaga L., 2000, Regiones terrestres prioritarias de Mexico
   Bautista F., 2019, CLIMATE CHANGE INDIC
   Cerda J, 2008, REV CHIL PEDIATR-CHI, V79, P54
   Chmielewski FM, 2003, TASK VEG SC, V39, P505
   CLICOM, 2018, DAT CLIM DIAR CLIC S
   Coello CAC., 2007, Genetic and Evolutionary Computation Series
   Contreras G.J.A., 2009, TECNOLOGIA CULTIVO J, P48
   Elagib NA, 2014, ECOL INDIC, V43, P114, DOI 10.1016/j.ecolind.2014.02.033
   FAO, 2017, pathways to 2050, DOI 10.4161/chan.4.6.12871
   FAO, 2018, ESC HIB SABD L
   Fisher C.W., 2009, J. Data Inf. Qual, V1, P161, DOI [DOI 10.1145/1659225.1659229, 10.1145/1659225.1659229]
   Hatfield J.L., 2018, AGROCLIMATOLOGY LINK
   Hidalgo S.H.v., 2013, MANUAL TECNICO CULTI, P34
   Jin YC, 2002, IEEE T EVOLUT COMPUT, V6, P481, DOI 10.1109/TEVC.2002.800884
   Kramer O., 2017, Genetic Algorithm Essentials, V679, DOI [10.1007/978-3-319-52156-5, DOI 10.1007/978-3-319-52156-5, 10.1007/978-3-319-52156-5.]
   Legrand G., 2005, DATA PREPROCESSING K, P176
   Lipiec J, 2013, INT AGROPHYS, V27, P463, DOI 10.2478/intag-2013-0017
   Mahdi J.S., 2018, INT J ADV RES BIOL S, V5, P12
   Meza C.P., 2012, GUIA FLOR JAMAICA HI, P25
   Mittler R, 2006, TRENDS PLANT SCI, V11, P15, DOI 10.1016/j.tplants.2005.11.002
   Montiel-Gonzalez C., 2018, ECOSISTEMA RECURSOS, V6, P307
   Neset TS, 2019, ECOL INDIC, V105, P571, DOI 10.1016/j.ecolind.2018.05.042
   Ortega G., 2019, CLIMATIC HAZARD INDI
   Pech C.A.J., 2014, EVALUACION FECHAS SI, P38
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Perez-Gonzalez A., 2009, Asian Journal of Plant Sciences, V8, P92, DOI 10.3923/ajps.2009.92.101
   Peterson T.C., 2005, World Meteorological Organization Bulletin, V54, P83
   Prasad P.V.V., 2008, Resp. Crops Limited Water Understanding Modeling Water Stress Effects Plant Growth Proc, V1, P301, DOI DOI 10.2134/ADVAGRICSYSTMODEL1.C11
   Ruiz C.J.A., 2013, REQUERIMIENTOS AGRO
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   SMN, 2019, IND EST PREC SPI
   SMN, 2018, EST MET MEX
   Svoboda M., 2012, WMO-No. 1090
   Whitley D, 2001, INFORM SOFTWARE TECH, V43, P817, DOI 10.1016/S0950-5849(01)00188-4
   WMO, 2018, GUID CLIM PRACT
   Zhang X., 2020, ETCCDI CRD CLIM CHAN
NR 41
TC 5
Z9 5
U1 3
U2 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
J9 ECOL INDIC
JI Ecol. Indic.
PD FEB
PY 2021
VL 121
AR 107140
DI 10.1016/j.ecolind.2020.107140
PG 11
WC Biodiversity Conservation; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA PO0SZ
UT WOS:000604883100003
OA gold
DA 2025-01-10
ER

PT J
AU Badouin, H
   Gouzy, J
   Grassa, CJ
   Murat, F
   Staton, SE
   Cottret, L
   Lelandais-Briere, C
   Owens, GL
   Carrère, S
   Mayjonade, B
   Legrand, L
   Gill, N
   Kane, NC
   Bowers, JE
   Hubner, S
   Bellec, A
   Bérard, A
   Bergès, H
   Blanchet, N
   Boniface, MC
   Brunel, D
   Catrice, O
   Chaidir, N
   Claudel, C
   Donnadieu, C
   Faraut, T
   Fievet, G
   Helmstetter, N
   King, M
   Knapp, SJ
   Lai, Z
   Le Paslier, MC
   Lippi, Y
   Lorenzon, L
   Mandel, JR
   Marage, G
   Marchand, G
   Marquand, E
   Bret-Mestries, E
   Morien, E
   Nambeesan, S
   Nguyen, T
   Pegot-Espagnet, P
   Pouilly, N
   Raftis, F
   Sallet, E
   Schiex, T
   Thomas, J
   Vandecasteele, C
   Varès, D
   Vear, F
   Vautrin, S
   Crespi, M
   Mangin, B
   Burke, JM
   Salse, J
   Muños, S
   Vincourt, P
   Rieseberg, LH
   Langlade, NB
AF Badouin, Helene
   Gouzy, Jerome
   Grassa, Christopher J.
   Murat, Florent
   Staton, S. Evan
   Cottret, Ludovic
   Lelandais-Briere, Christine
   Owens, Gregory L.
   Carrere, Sebastien
   Mayjonade, Baptiste
   Legrand, Ludovic
   Gill, Navdeep
   Kane, Nolan C.
   Bowers, John E.
   Hubner, Sariel
   Bellec, Arnaud
   Berard, Aurelie
   Berges, Helene
   Blanchet, Nicolas
   Boniface, Marie-Claude
   Brunel, Dominique
   Catrice, Olivier
   Chaidir, Nadia
   Claudel, Clotilde
   Donnadieu, Cecile
   Faraut, Thomas
   Fievet, Ghislain
   Helmstetter, Nicolas
   King, Matthew
   Knapp, Steven J.
   Lai, Zhao
   Le Paslier, Marie-Christine
   Lippi, Yannick
   Lorenzon, Lolita
   Mandel, Jennifer R.
   Marage, Gwenola
   Marchand, Gwenaelle
   Marquand, Elodie
   Bret-Mestries, Emmanuelle
   Morien, Evan
   Nambeesan, Savithri
   Thuy Nguyen
   Pegot-Espagnet, Prune
   Pouilly, Nicolas
   Raftis, Frances
   Sallet, Erika
   Schiex, Thomas
   Thomas, Justine
   Vandecasteele, Celine
   Vares, Didier
   Vear, Felicity
   Vautrin, Sonia
   Crespi, Martin
   Mangin, Brigitte
   Burke, John M.
   Salse, Jerome
   Munos, Stehane
   Vincourt, Patrick
   Rieseberg, Loren H.
   Langlade, Nicolas B.
TI The sunflower genome provides insights into oil metabolism, flowering
   and Asterid evolution
SO NATURE
LA English
DT Article
ID HELIANTHUS-ANNUUS; PHOSPHATIDATE PHOSPHATASE; CULTIVATED SUNFLOWER;
   ANNOTATION; SEQUENCE; GENES; WILD; ACID; DOMESTICATION; ASTERACEAE
AB The domesticated sunflower, Helianthus annuus L., is a global oil crop that has promise for climate change adaptation, because it can maintain stable yields across a wide variety of environmental conditions, including drought(1). Even greater resilience is achievable through the mining of resistance alleles from compatible wild sunflower relatives(2,3), including numerous extremophile species(4). Here we report a high-quality reference for the sunflower genome (3.6 gigabases), together with extensive transcriptomic data from vegetative and floral organs. The genome mostly consists of highly similar, related sequences(5) and required single-molecule real-time sequencing technologies for successful assembly. Genome analyses enabled the reconstruction of the evolutionary history of the Asterids, further establishing the existence of a whole-genome triplication at the base of the Asterids II clade(6) and a sunflower-specific whole-genome duplication around 29 million years ago(7). An integrative approach combining quantitative genetics, expression and diversity data permitted development of comprehensive gene networks for two major breeding traits, flowering time and oil metabolism, and revealed new candidate genes in these networks. We found that the genomic architecture of flowering time has been shaped by the most recent whole-genome duplication, which suggests that ancient paralogues can remain in the same regulatory networks for dozens of millions of years. This genome represents a cornerstone for future research programs aiming to exploit genetic diversity to improve biotic and abiotic stress resistance and oil production, while also considering agricultural constraints and human nutritional needs(8,9).
C1 [Badouin, Helene; Gouzy, Jerome; Grassa, Christopher J.; Cottret, Ludovic; Carrere, Sebastien; Mayjonade, Baptiste; Legrand, Ludovic; Blanchet, Nicolas; Boniface, Marie-Claude; Catrice, Olivier; Fievet, Ghislain; Lippi, Yannick; Lorenzon, Lolita; Marage, Gwenola; Marchand, Gwenaelle; Pegot-Espagnet, Prune; Pouilly, Nicolas; Sallet, Erika; Thomas, Justine; Vares, Didier; Mangin, Brigitte; Munos, Stehane; Vincourt, Patrick; Langlade, Nicolas B.] Univ Toulouse, INRA, CNRS, LIPM, Castanet Tolosan, France.
   [Grassa, Christopher J.; Staton, S. Evan; Owens, Gregory L.; Gill, Navdeep; Kane, Nolan C.; Hubner, Sariel; Chaidir, Nadia; King, Matthew; Morien, Evan; Thuy Nguyen; Raftis, Frances; Rieseberg, Loren H.] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
   [Grassa, Christopher J.; Staton, S. Evan; Owens, Gregory L.; Gill, Navdeep; Kane, Nolan C.; Hubner, Sariel; Chaidir, Nadia; King, Matthew; Morien, Evan; Thuy Nguyen; Raftis, Frances; Rieseberg, Loren H.] Univ British Columbia, Biodivers Res Ctr, Vancouver, BC, Canada.
   [Murat, Florent; Vear, Felicity; Salse, Jerome] INRA, UBP UMR GDEC 1095, F-63100 Clermont Ferrand, France.
   [Lelandais-Briere, Christine; Crespi, Martin] Univ Paris Saclay, CNRS, Inst Plant Sci Paris Saclay IPS2, INRA, F-91405 Orsay, France.
   [Lelandais-Briere, Christine; Crespi, Martin] Univ Paris Diderot, Inst Plant Sci Paris Saclay IPS2, CNRS, Sorbonne Paris Cite,INRA, F-91405 Orsay, France.
   [Kane, Nolan C.] Univ Colorado, Dept Ecol & Evolutionary Biol, Boulder, CO 80309 USA.
   [Bowers, John E.; Burke, John M.] Univ Georgia, Miller Plant Sci, Dept Plant Biol, Athens, GA 30602 USA.
   [Hubner, Sariel] Tel Hai Acad Coll, Dept Biotechnol, IL-12210 Upper Galilee, Israel.
   [Hubner, Sariel] MIGAL Galilee Res Inst, POB 831, IL-11016 Kiryat Shmona, Israel.
   [Bellec, Arnaud; Berges, Helene; Helmstetter, Nicolas; Vautrin, Sonia] INRA, Ctr Natl Ressources Genom Vegetales, F-31326 Castanet Tolosan, France.
   [Berard, Aurelie; Brunel, Dominique; Le Paslier, Marie-Christine; Marquand, Elodie] INRA, US EPGV CEA CNG 1279, Evry, France.
   [Chaidir, Nadia] Dow AgroSci LLC, Indianapolis, IN 46268 USA.
   [Claudel, Clotilde] Biogemma, F-31700 Mondonville, France.
   [Donnadieu, Cecile; Vandecasteele, Celine] INRA, GeT PlaGe, Genotoul, Castanet Tolosan, France.
   [Faraut, Thomas] INRA, Genet Physiol & Syst Elevage UMR1388, F-F31326 Castanet Tolosan, France.
   [King, Matthew] DuPont Pioneer, Johnston, IA 50131 USA.
   [Knapp, Steven J.] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Lai, Zhao; Rieseberg, Loren H.] Indiana Univ, Dept Biol, Bloomington, IN 47405 USA.
   [Lai, Zhao] Indiana Univ, Ctr Genom & Bioinformat, Bloomington, IN 47405 USA.
   [Mandel, Jennifer R.] Univ Memphis, Dept Biol Sci, Memphis, TN 38512 USA.
   [Bret-Mestries, Emmanuelle] TERRES INOVIA, UMR Arche INRA ENSAT, F-F31320 Castanet Tolosan, France.
   [Nambeesan, Savithri] Univ Georgia, Dept Hort, Athens, GA 30602 USA.
   [Thuy Nguyen] Wellcome Trust Sanger Inst, Hinxton CB10 1SA, England.
   [Schiex, Thomas] Univ Toulouse, INRA, MIAT, Castanet Tolosan, France.
C3 INRAE; Universite de Toulouse; Universite Federale Toulouse
   Midi-Pyrenees (ComUE); Universite Toulouse III - Paul Sabatier; Institut
   National des Sciences Appliquees de Toulouse; Centre National de la
   Recherche Scientifique (CNRS); University of British Columbia;
   University of British Columbia; INRAE; Universite Clermont Auvergne
   (UCA); INRAE; Universite Paris Saclay; Universite Paris Cite; Centre
   National de la Recherche Scientifique (CNRS); INRAE; Universite Paris
   Cite; Universite Paris Saclay; Centre National de la Recherche
   Scientifique (CNRS); University of Colorado System; University of
   Colorado Boulder; University System of Georgia; University of Georgia;
   Tel Hai Academic College; INRAE; INRAE; Universite Paris Saclay; Dow
   Chemical Company; INRAE; INRAE; DuPont; Pioneer Hi-Bred International,
   Inc.; University of California System; University of California Davis;
   Indiana University System; Indiana University Bloomington; Indiana
   University System; Indiana University Bloomington; University of
   Memphis; INRAE; University System of Georgia; University of Georgia;
   Wellcome Trust Sanger Institute; Universite de Toulouse; INRAE
RP Langlade, NB (corresponding author), Univ Toulouse, INRA, CNRS, LIPM, Castanet Tolosan, France.
EM nicolas.langlade@inra.fr
RI li, yiwen/ISB-4836-2023; Crespi, Martin/AAB-1424-2020; Owens,
   Gregory/AEW-0509-2022; lippi, yannick/AAG-2774-2019; THOMAS,
   JUSTINE/JLK-9946-2023; MUNOS, STEPHANE/ABE-6062-2020; Cottret,
   Ludovic/AAD-2293-2020; Gouzy, Jerome/AAH-4977-2020; VINCOURT,
   Patrick/HJY-2663-2023; Bowers, John/AAD-7601-2019; Burke,
   John/A-3502-2013; Langlade, Nicolas/C-6191-2008; KANE,
   NOLAN/B-7652-2016; Rieseberg, Loren/B-3591-2013
OI Bellec, Arnaud/0000-0002-7608-9537; Cottret,
   Ludovic/0000-0001-7418-7750; Badouin, Helene/0000-0002-2456-5968;
   Bowers, John/0000-0001-5693-2796; Burke, John/0000-0002-1412-5539;
   Gouzy, Jerome/0000-0001-5695-4557; Helmstetter,
   Nicolas/0000-0003-0260-023X; Grassa, Christopher/0000-0002-2705-4872;
   Staton, Spencer/0000-0002-5681-6047; Langlade,
   Nicolas/0000-0002-5651-1446; Catrice, Olivier/0000-0001-6640-8517;
   Munos, Stephane/0000-0003-0261-2759; Owens, Gregory/0000-0002-4019-5215;
   Sallet, Erika/0000-0003-4637-473X; Mandel, Jennifer/0000-0003-3539-2991;
   KANE, NOLAN/0000-0001-9133-6543; Morien, Evan/0000-0001-9821-7002;
   Lippi, Yannick/0000-0003-4717-078X; Legrand,
   Ludovic/0000-0001-9634-709X; Murat, Florent/0000-0003-2116-2511;
   Rieseberg, Loren/0000-0002-2712-2417
FU French National Research Agency [SUNYFUEL/ANR-07-GPLA-0022,
   SUNRISE/ANR-11-BTBR-0005]; Midi-Pyrenees Region; European Fund for
   Regional Development; French Fund for Competitiveness Clusters (FUI);
   Genoscope SystemSun project; Genome Canada; Genome BC's Applied Genomics
   Research in Bioproducts or Crops (ABC) Competition; NSF Plant Genome
   Program [DBI-0820451]; International Consortium for Sunflower Genomics
   Resources; Direct For Biological Sciences; Division Of Integrative
   Organismal Systems [1444522] Funding Source: National Science Foundation
FX We thank G. Kuhn for sharing his expertise in PacBio sequencing and H.
   Witsenboer for his help with the production of the Fingerprint-based
   physical map; the Genotoul bioinformatics platform Toulouse
   Midi-Pyrenees for providing help and computing resources, the common
   services of the LIPM for their support, and Genome Quebec Innovation
   Centre and Canada's Michael Smith Genome Science Centre for 454 and
   Illumina sequencing; M. Scascitelli, M. Stewart, D. Ebert, J. Roeder, H.
   Shaffer, E. Gudger, B. Hsieh, S. Jackson, S. Rounsley, C. Feuillet, B.
   Barbazuk and M. Barker for their help and advice during the Genome
   Canada/Genome BC project; and D. Swanevelder for contributing to the
   sequencing of the sunflower association mapping populations; members of
   the International Consortium for Sunflower Genomics resources
   (2012-2015): Advanta, BASF, Biogemma, Dow, KWS, Pioneer and Syngenta
   companies and their sunflower project leaders; F. Bonnafous for the
   development of the statistical pipeline for GWAS and P. Castellanet, C.
   Henry, M. Laporte, J. Piquemal, M. Coque and T. Andre for the
   coordination of flowering time phenotyping on the sunflower hybrid panel
   (GWAS). This project was funded by the French National Research Agency
   (SUNYFUEL/ANR-07-GPLA-0022 and SUNRISE/ANR-11-BTBR-0005 projects), by
   the Midi-Pyrenees Region, the European Fund for Regional Development,
   the French Fund for Competitiveness Clusters (FUI), the Genoscope
   SystemSun project, Genome Canada and Genome BC's Applied Genomics
   Research in Bioproducts or Crops (ABC) Competition, the NSF Plant Genome
   Program (DBI-0820451) and the International Consortium for Sunflower
   Genomics Resources.
CR Axtell MJ, 2013, RNA, V19, P740, DOI 10.1261/rna.035279.112
   Barker MS, 2008, MOL BIOL EVOL, V25, P2445, DOI 10.1093/molbev/msn187
   Barker MS, 2016, AM J BOT, V103, P1203, DOI 10.3732/ajb.1600113
   Baute GJ, 2015, NEW PHYTOL, V206, P830, DOI 10.1111/nph.13255
   Berlin K, 2015, NAT BIOTECHNOL, V33, P623, DOI 10.1038/nbt.3238
   Blackman BK, 2011, GENETICS, V187, P271, DOI 10.1534/genetics.110.121327
   Bolger ME, 2014, CURR OPIN BIOTECH, V26, P31, DOI 10.1016/j.copbio.2013.08.019
   Bouché F, 2016, NUCLEIC ACIDS RES, V44, pD1167, DOI 10.1093/nar/gkv1054
   Carman GM, 2006, TRENDS BIOCHEM SCI, V31, P694, DOI 10.1016/j.tibs.2006.10.003
   Challinor AJ, 2009, J EXP BOT, V60, P2775, DOI 10.1093/jxb/erp062
   Chapman MA, 2012, THEOR APPL GENET, V125, P897, DOI 10.1007/s00122-012-1881-z
   Chin CS, 2013, NAT METHODS, V10, P563, DOI [10.1038/nmeth.2474, 10.1038/NMETH.2474]
   Curtin SJ, 2017, PLANT PHYSIOL, V173, P921, DOI 10.1104/pp.16.01923
   De Mita S, 2012, BMC GENET, V13, DOI 10.1186/1471-2156-13-27
   Deng XD, 2013, J ZHEJIANG UNIV-SC B, V14, P1121, DOI 10.1631/jzus.B1300180
   Denoeud F, 2014, SCIENCE, V345, P1181, DOI 10.1126/science.1255274
   Ebrahimi A, 2008, GENOME, V51, P599, DOI 10.1139/G08-038
   Ellinghaus D, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-18
   Fernández-Martínez J, 2000, CROP SCI, V40, P550, DOI 10.2135/cropsci2000.402550x
   Foissac S, 2008, CURR BIOINFORM, V3, P87, DOI 10.2174/157489308784340702
   Formey D, 2014, GENOME BIOL, V15, DOI 10.1186/s13059-014-0457-4
   Gremme G, 2013, IEEE ACM T COMPUT BI, V10, P645, DOI 10.1109/TCBB.2013.68
   Haddadi P, 2012, MOL BREEDING, V29, P717, DOI 10.1007/s11032-011-9585-7
   HUDSON RR, 1992, GENETICS, V132, P583
   Jaillon O, 2007, NATURE, V449, P463, DOI 10.1038/nature06148
   Kane NC, 2011, BOTANY, V89, P429, DOI [10.1139/B11-032, 10.1139/b11-032]
   Kane NC, 2007, GENETICS, V175, P1823, DOI 10.1534/genetics.106.067728
   Kang YJ, 2016, PLANT BIOTECHNOL J, V14, P1057, DOI 10.1111/pbi.12449
   Karp Peter D, 2002, Bioinformatics, V18 Suppl 1, pS225
   Koboldt DC, 2009, BIOINFORMATICS, V25, P2283, DOI 10.1093/bioinformatics/btp373
   Kozomara A, 2014, NUCLEIC ACIDS RES, V42, pD68, DOI 10.1093/nar/gkt1181
   Lamesch P, 2012, NUCLEIC ACIDS RES, V40, pD1202, DOI 10.1093/nar/gkr1090
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Mayjonade B, 2016, BIOTECHNIQUES, V61, P203, DOI 10.2144/000114460
   Merah O, 2012, THEOR APPL GENET, V125, P1589, DOI 10.1007/s00122-012-1937-0
   Pérez-Vich B, 2016, MOL BREEDING, V36, DOI 10.1007/s11032-016-0462-2
   Premnath A, 2016, MOL BREEDING, V36, DOI 10.1007/s11032-016-0527-2
   Pritchard JK, 2000, GENETICS, V155, P945
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   RIESEBERG LH, 1995, NATURE, V375, P313, DOI 10.1038/375313a0
   Robinson MD, 2010, BIOINFORMATICS, V26, P139, DOI 10.1093/bioinformatics/btp616
   Salse J, 2016, CURR OPIN PLANT BIOL, V30, P134, DOI 10.1016/j.pbi.2016.02.005
   Salse J, 2009, BRIEF BIOINFORM, V10, P619, DOI 10.1093/bib/bbp037
   Scaglione D, 2016, SCI REP-UK, V6, DOI 10.1038/srep19427
   Seiler GJ, 2007, IND CROP PROD, V25, P95, DOI 10.1016/j.indcrop.2006.07.007
   Simao FA, 2015, BIOINFORMATICS, V31, P3210, DOI 10.1093/bioinformatics/btv351
   Staton SE, 2012, PLANT J, V72, P142, DOI 10.1111/j.1365-313X.2012.05072.x
   Steinbiss S, 2009, NUCLEIC ACIDS RES, V37, P7002, DOI 10.1093/nar/gkp759
   Strasburg JL, 2008, EVOLUTION, V62, P1936, DOI 10.1111/j.1558-5646.2008.00415.x
   Tähtiharju S, 2012, MOL BIOL EVOL, V29, P1155, DOI 10.1093/molbev/msr283
   Truco MJ, 2013, G3-GENES GENOM GENET, V3, P617, DOI 10.1534/g3.112.004929
   Vandenbrink JP, 2014, PLANT SCI, V224, P20, DOI 10.1016/j.plantsci.2014.04.006
   Vitte C, 2006, P NATL ACAD SCI USA, V103, P17638, DOI 10.1073/pnas.0605618103
   Yanai I, 2005, BIOINFORMATICS, V21, P650, DOI 10.1093/bioinformatics/bti042
   Yang ZH, 2007, MOL BIOL EVOL, V24, P1586, DOI 10.1093/molbev/msm088
   Zamir D, 2001, NAT REV GENET, V2, P983, DOI 10.1038/35103590
NR 56
TC 506
Z9 572
U1 27
U2 385
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 0028-0836
EI 1476-4687
J9 NATURE
JI Nature
PD JUN 1
PY 2017
VL 546
IS 7656
BP 148
EP +
DI 10.1038/nature22380
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA EW3CR
UT WOS:000402372800046
PM 28538728
OA Green Published, hybrid
HC Y
HP N
DA 2025-01-10
ER

PT S
AU Feilberg, M
   Mark, O
AF Feilberg, Miriam
   Mark, Ole
BE Younos, T
   Parece, TE
TI Integrated Urban Water Management: Improve Efficient Water Management
   and Climate Change Resilience in Cities
SO SUSTAINABLE WATER MANAGEMENT IN URBAN ENVIRONMENTS
SE Handbook of Environmental Chemistry Series
LA English
DT Article; Book Chapter
DE Integrated urban water management; Real-time control and monitoring;
   Stakeholder integration; Urban climate change adaptation; Urban flooding
AB Today, more than half of the world's population is living in cities that are often centres of production, prosperity and development, but when it comes to handling water in urban areas, a number of challenges exist related to providing safe and efficient solutions to urban water issues. Challenges urban water managers face include flooding and extreme weather events, which will increase in severity because of climate change. Cities located in coastal and delta areas already face the risk of increased flooding and other extreme events, which climate change will further aggravate. In Denmark, the Ministry of the Environment envisages that a sea level rise of 0.7 m on average will lead to increased flooding similar to a 400-year event taking place every 1-2 years; thus, cities must do their utmost to improve climate change resilience. Introducing integrated urban water management (IUWM) as a concept for planning to improve water management by linking different elements such as spatial planning, stormwater management and urban environment provides a more holistic input to planning. In this chapter, we examine definitions of IUWM and global experiences. Furthermore, we look at experienced barriers to moving towards more integrated water management and a number of solutions in order to overcome the barriers to integrated approaches. Finally, we describe how solutions based on innovative and integrated approaches are efficient and contribute to improved water management even though not every single element of urban water management can be a part of integrated solutions.
C1 [Feilberg, Miriam; Mark, Ole] DHI, Horsholm, Denmark.
C3 Danish Hydraulic Institute (DHI)
RP Mark, O (corresponding author), DHI, Horsholm, Denmark.
EM Ole.Mark@dhigroup.com
CR Closas A, 2012, WORLD BANK STUDY INT
   International Water Association (IWA), CIT FUT WAT SEC CIT
NR 2
TC 4
Z9 5
U1 0
U2 13
PU SPRINGER INTERNATIONAL PUBLISHING AG
PI CHAM
PA GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
SN 1433-6863
BN 978-3-319-29337-0; 978-3-319-29335-6
J9 HANDB ENVIRON CHEM
JI Handb. Environ. Chem.
PY 2016
VL 47
BP 1
EP 32
DI 10.1007/978-3-319-29337-0_1
D2 10.1007/978-3-319-29337-0
PG 32
WC Environmental Sciences; Environmental Studies; Urban Studies; Water
   Resources
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Urban Studies; Water Resources
GA BK0MB
UT WOS:000430721400003
DA 2025-01-10
ER

PT J
AU Catford, JA
   Naiman, RJ
   Chambers, LE
   Roberts, J
   Douglas, M
   Davies, P
AF Catford, Jane A.
   Naiman, Robert J.
   Chambers, Lynda E.
   Roberts, Jane
   Douglas, Michael
   Davies, Peter
TI Predicting Novel Riparian Ecosystems in a Changing Climate
SO ECOSYSTEMS
LA English
DT Article
DE non-indigenous species invasions; community composition; environmental
   planning; functional traits; emerging ecosystems; process models
ID PLANT INVASIONS; SALTWATER INTRUSION; NORTHERN-TERRITORY; FOOD-WEB;
   RIVER; AUSTRALIA; VEGETATION; MANAGEMENT; BIODIVERSITY; RESTORATION
AB Rapid changes in global climate are likely to alter species assemblages and environmental characteristics resulting in novel ecosystems. The ability to predict characteristics of future ecosystems is crucial for environmental planning and the development of effective climate change adaptation strategies. This paper presents an approach for envisioning novel ecosystems in future climates. Focusing on riparian ecosystems, we use qualitative process models to predict likely abiotic and biotic changes in four case study systems: tropical coastal floodplains, temperate streams, high mountain streams and urban riparian zones. We concentrate on functional groups rather than individual species and consider dispersal constraints and the capacity for genetic adaptation. Our scenarios suggest that climatic changes will reduce indigenous diversity, facilitate non-indigenous invasion (especially C4 graminoids), increase fragmentation and result in simplified and less distinctive riparian ecosystems. Compared to models based on biota-environment correlations, process models built on mechanistic understanding (like Bayesian belief networks) are more likely to remain valid under novel climatic conditions. We posit that predictions based on species' functional traits will facilitate regional comparisons and can highlight effects of climate change on ecosystem structure and function. Ecosystems that have experienced similar modification to that expected under climate change (for example, altered flow regimes of regulated rivers) can be used to help inform and evaluate predictions. By manipulating attributes of these system models (for example, magnitude of climatic changes or adaptation strategies used), implications of various scenarios can be assessed and optimal management strategies identified.
C1 [Catford, Jane A.] Univ Melbourne, Sch Bot, Melbourne, Vic 3010, Australia.
   [Naiman, Robert J.] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA.
   [Naiman, Robert J.; Davies, Peter] Univ Western Australia, Ctr Excellence Nat Resource Management, Albany, WA 6330, Australia.
   [Chambers, Lynda E.] Bur Meteorol, Ctr Australian Weather & Climate Res, Melbourne, Vic 3001, Australia.
   [Roberts, Jane] Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW 2640, Australia.
   [Douglas, Michael] Charles Darwin Univ, Res Inst Environm & Livelihoods, Darwin, NT 0909, Australia.
C3 University of Melbourne; University of Washington; University of
   Washington Seattle; University of Western Australia; Bureau of
   Meteorology - Australia; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Charles Sturt University; Charles Darwin
   University
RP Catford, JA (corresponding author), Univ Melbourne, Sch Bot, Melbourne, Vic 3010, Australia.
EM catfordj@unimelb.edu.au
RI Douglas, Michael/I-3149-2012; Naiman, Robert/K-3113-2012; Catford,
   Jane/B-9578-2012
OI Douglas, Michael/0000-0003-3650-3374; Catford, Jane/0000-0003-0582-5960
FU NERP North Australian Hub; ARC Centre of Excellence for Environmental
   Decisions
FX Ideas for this paper were conceived at a "Riparian Ecosystems under
   Climate Change" workshop hosted by the National Climate Change
   Adaptation Research Facility-Water Resources and Freshwater Biodiversity
   Network and Terrestrial Biodiversity Network. Thanks to other workshop
   participants, especially Ugo Arbieu, for comments in the early stages of
   this paper. Thanks also to Brendan Wintle for insightful comments on a
   draft manuscript, Chris Walsh for reviewing the Melbourne scenario and
   an anonymous reviewer for constructive feedback. PD and MD acknowledge
   the Tropical Rivers and Coastal Knowledge (TRaCK) research consortium
   and MD also acknowledges support from the NERP North Australian Hub; JAC
   was partially supported by the ARC Centre of Excellence for
   Environmental Decisions.
CR [Anonymous], 2008, DROUGHT CREEPING DIS
   [Anonymous], 2010, CLIMATE CHANGE IMPAC
   [Anonymous], 2011, AQUATIC BIODIVERSITY
   [Anonymous], 2007, SALTWATER INTRUSION
   [Anonymous], 2009, MANAGEMENT PROGRAM M
   [Anonymous], 2010, REV PIEZOMETER MONIT
   [Anonymous], 2011, CLIMATE CHANGE SCI S
   [Anonymous], 2007, Climate change in Australia
   [Anonymous], 2021, CONC DES REP AP BAY
   [Anonymous], KAKADU NATL PARK LAN
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], REG POP GROWTH
   [Anonymous], 2005, Yarra: A Diverting History of Melbourne's Murky River
   [Anonymous], 2009, CAUSALITY
   [Anonymous], 2010, WORLD URB PROSP 2009
   [Anonymous], 1954, ECOSYSTEMS MONARO RE
   BAYLISS P, 1990, AUST WILDLIFE RES, V17, P15
   Bolton Geoffrey., 1972, FINE COUNTRY STARVE
   BUNN SE, 1992, HYDROBIOLOGIA, V248, P143, DOI 10.1007/BF00006082
   Bunn SE, 1997, MAR FRESHWATER RES, V48, P173, DOI 10.1071/MF96055
   BUNN SE, 1990, HYDROBIOLOGIA, V194, P169, DOI 10.1007/BF00028418
   Bunn SE, 1999, FRESHWATER BIOL, V41, P333, DOI 10.1046/j.1365-2427.1999.00434.x
   Canning-Clode J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0029657
   Catford JA, 2012, PERSPECT PLANT ECOL, V14, P231, DOI 10.1016/j.ppees.2011.12.002
   Catford JA, 2011, J APPL ECOL, V48, P432, DOI 10.1111/j.1365-2664.2010.01945.x
   Chambers LE, 2005, EMU, V105, P1, DOI 10.1071/MU04033
   Davey CM, 2012, GLOBAL ECOL BIOGEOGR, V21, P568, DOI 10.1111/j.1466-8238.2011.00693.x
   Davidson AM, 2011, ECOL LETT, V14, P419, DOI 10.1111/j.1461-0248.2011.01596.x
   Davies PM, 2010, RESTOR ECOL, V18, P261, DOI 10.1111/j.1526-100X.2009.00648.x
   De Deckker P., 1986, Limnology in Australia, P487
   Douglas Michael M., 2004, Ecological Management & Restoration, V5, P143, DOI 10.1111/j.1442-8903.2004.201-7.x
   Douglas MM, 2005, MAR FRESHWATER RES, V56, P329, DOI 10.1071/MF04084
   Douglas MM, 2003, FRESHWATER BIOL, V48, P962, DOI 10.1046/j.1365-2427.2003.01072.x
   Dukes JS, 2011, ECOL APPL, V21, P1887, DOI 10.1890/11-0111.1
   Elith J, 2010, METHODS ECOL EVOL, V1, P330, DOI 10.1111/j.2041-210X.2010.00036.x
   Ferrier S, 2006, J APPL ECOL, V43, P393, DOI 10.1111/j.1365-2664.2006.01149.x
   Finlayson CM, 2006, AQUAT SCI, V68, P374, DOI 10.1007/s00027-006-0852-3
   Fukami T, 2005, ECOL LETT, V8, P1283, DOI 10.1111/j.1461-0248.2005.00829.x
   Good R, 2010, TERRA AUSTRALIS, V32, P353
   Green K, 2009, ARCT ANTARCT ALP RES, V41, P212, DOI 10.1657/1938-4246-41.2.212
   Groffman PM, 2003, FRONT ECOL ENVIRON, V1, P315, DOI 10.1890/1540-9295(2003)001[0315:DBTRUR]2.0.CO;2
   Hamilton SK, 2010, HYDROBIOLOGIA, V657, P19, DOI 10.1007/s10750-009-0086-1
   Harrison ET, 2008, HYDROBIOLOGIA, V600, P49, DOI 10.1007/s10750-007-9175-1
   Hijmans RJ, 2006, GLOBAL CHANGE BIOL, V12, P2272, DOI 10.1111/j.1365-2486.2006.01256.x
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hobbs RJ, 2006, GLOBAL ECOL BIOGEOGR, V15, P1, DOI 10.1111/j.1466-822x.2006.00212.x
   Horton R, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2007GL032486
   Horwitz P., 2008, J Royal Soc West Aust, V91, P1
   Hulme PE, 2005, J APPL ECOL, V42, P784, DOI 10.1111/j.1365-2664.2005.01082.x
   Hulme PE, 2009, SCIENCE, V324, P40, DOI 10.1126/science.1171111
   Jardine TD, 2012, OECOLOGIA, V168, P829, DOI 10.1007/s00442-011-2148-0
   Kearney MR, 2010, CONSERV LETT, V3, P203, DOI 10.1111/j.1755-263X.2010.00097.x
   Keith DA, 2007, J ECOL, V95, P1324, DOI 10.1111/j.1365-2745.2007.01302.x
   Koca D, 2006, CLIMATIC CHANGE, V78, P381, DOI 10.1007/s10584-005-9030-1
   Leahy PJ, 2005, RIVER RES APPL, V21, P131, DOI 10.1002/rra.837
   Lu PL, 2006, AGR FOREST METEOROL, V138, P120, DOI 10.1016/j.agrformet.2006.04.002
   Lucas C., 2007, BUSHFIRE WEATHER SE, DOI DOI 10.25919/5-31C82EE0A4C
   McCann RK, 2006, CAN J FOREST RES, V36, P3053, DOI 10.1139/X06-238
   McDougall K L., 2002, Cunninghamia, V7, P601
   McDougall KL, 2007, AUST J BOT, V55, P42, DOI 10.1071/BT06096
   McDougall KL, 2011, DIVERS DISTRIB, V17, P103, DOI 10.1111/j.1472-4642.2010.00713.x
   McDougall KL, 2005, PERSPECT PLANT ECOL, V7, P159, DOI 10.1016/j.ppees.2005.09.001
   Merritt DM, 2010, FRESHWATER BIOL, V55, P206, DOI 10.1111/j.1365-2427.2009.02206.x
   Meyer JL, 2005, J N AM BENTHOL SOC, V24, P602, DOI 10.1899/04-021.1
   Morin X, 2009, ECOLOGY, V90, P1301, DOI 10.1890/08-0134.1
   Mulrennan ME, 1998, J ENVIRON MANAGE, V54, P169, DOI 10.1006/jema.1998.0229
   Murray JV, 2012, GLOBAL CHANGE BIOL, V18, P1738, DOI 10.1111/j.1365-2486.2011.02621.x
   Myers Norman, 2000, Nature (London), V403, P853, DOI 10.1038/35002501
   Naiman R.J., 2005, RIPARIA ECOLOGY CONS
   Naiman RJ, 1997, ANNU REV ECOL SYST, V28, P621, DOI 10.1146/annurev.ecolsys.28.1.621
   Nakicenovic N., 2000, IPCC Special Report on Emissions Scenarios (SRES)
   Neilson RP, 2005, BIOSCIENCE, V55, P749, DOI 10.1641/0006-3568(2005)055[0749:FRTGPM]2.0.CO;2
   O'Donnell J, 2012, GLOBAL CHANGE BIOL, V18, P617, DOI 10.1111/j.1365-2486.2011.02537.x
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Pettit NE, 2001, REGUL RIVER, V17, P201, DOI 10.1002/rrr.624
   Petty AM, 2007, ECOL MONOGR, V77, P441, DOI 10.1890/06-1599.1
   Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   Richardson DM, 2007, DIVERS DISTRIB, V13, P126, DOI 10.1111/j.1366-9516.2006.00314.x
   Rumpff L, 2011, BIOL CONSERV, V144, P1224, DOI 10.1016/j.biocon.2010.10.026
   Sandel B, 2012, GLOBAL CHANGE BIOL, V18, P277, DOI 10.1111/j.1365-2486.2011.02480.x
   Seastedt TR, 2008, FRONT ECOL ENVIRON, V6, P547, DOI 10.1890/070046
   Seavy N. E., 2009, Ecological Restoration, V27, P330, DOI 10.3368/er.27.3.330
   Stohlgren TJ, 2011, BIOL INVASIONS, V13, P1931, DOI 10.1007/s10530-011-0024-9
   Traill LW, 2010, ECOGRAPHY, V33, P818, DOI 10.1111/j.1600-0587.2009.06205.x
   Trowbridge WB, 2007, ECOL APPL, V17, P1312, DOI 10.1890/06-1242.1
   Villéger S, 2011, P NATL ACAD SCI USA, V108, P18003, DOI 10.1073/pnas.1107614108
   Violle C, 2007, OIKOS, V116, P882, DOI 10.1111/j.2007.0030-1299.15559.x
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Walsh CJ, 2007, FRESHWATER BIOL, V52, P574, DOI 10.1111/j.1365-2427.2006.01706.x
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Walsh CJ, 2001, FRESHWATER BIOL, V46, P535, DOI 10.1046/j.1365-2427.2001.00690.x
   Walther GR, 2009, TRENDS ECOL EVOL, V24, P686, DOI 10.1016/j.tree.2009.06.008
   Westoby M, 1998, PLANT SOIL, V199, P213, DOI 10.1023/A:1004327224729
   Williams DG., 2000, Biol Invasions, V2, P123, DOI [10.1023/A:1010040524588, DOI 10.1023/A:1010040524588]
   Williams NSG, 2008, ECOL APPL, V18, P347, DOI 10.1890/07-0868.1
   Winn KO, 2006, J COASTAL RES, V22, P137, DOI 10.2112/05A-0011.1
NR 97
TC 74
Z9 83
U1 1
U2 239
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 APR
PY 2013
VL 16
IS 3
BP 382
EP 400
DI 10.1007/s10021-012-9566-7
PG 19
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 145FA
UT WOS:000318999000002
DA 2025-01-10
ER

PT J
AU Wu, J
   Drappier, J
   Hilbert, G
   Guillaumie, S
   Dai, ZW
   Geny, L
   Delrot, S
   Darriet, P
   Thibon, C
   Pieri, P
AF Wu, Jing
   Drappier, Julie
   Hilbert, Ghislaine
   Guillaumie, Sabine
   Dai, Zhanwu
   Geny, Laurence
   Delrot, Serge
   Darriet, Philippe
   Thibon, Cecile
   Pieri, Philippe
TI The effects of a moderate grape temperature increase on berry secondary
   metabolites
SO OENO ONE
LA English
DT Article; Proceedings Paper
CT 21st GIESCO International Meeting
CY JUN 23-28, 2019
CL Thessaloniki, GREECE
SP GIESCO
DE grapevine; climate change; secondary metabolism; polyphenols; aromas
ID CV SAUVIGNON BLANC; CABERNET-SAUVIGNON; CLIMATE-CHANGE;
   ELEVATED-TEMPERATURE; AMINO-ACID; WINE; IMPACT; PRECURSORS;
   2-METHOXY-3-ISOBUTYLPYRAZINE; BIOSYNTHESIS
AB Context and purpose of the study: Like in other wine producing regions around the world, Bordeaux vineyards already experience the effects of climate change. Recent trends as well as model outputs for the future strongly support an increase of average and extreme temperatures. For the maturation period, this increase will by far exceed mean atmospheric temperature increase, as the ripening period will occur earlier in hotter climatic conditions. Therefore, a detrimental secondary metabolism response is expected in grape berries, and of particular concern are the impacts on phenolics and aromas and aroma precursors. The effects of high temperatures on secondary metabolism control have been partly characterized for phenolics, however mostly in artificial growing conditions, while little is known with respect to aromas. A better understanding of how high temperatures influence grape berry secondary metabolites could help vineyard growers to adapt to climate change and maintain wine quality.
   Material and methods: A two-year field study was carried out in 2015 and 2016 in a vineyard in Bordeaux, France. Two treatments, heated (H) and control (C), were applied to two varieties, Cabernet-Sauvignon and Sauvignon blanc, from fruit-set to maturity. Field heating was achieved by a very local greenhouse effect applied to the bottom of the rows, by enclosing most of the underlying soil surface by polycarbonate shields. As the training system was vertically trellised, the heated volume surrounded most of the bunches but did not disturb most of the leaves in the canopy. This simple and robust setup allowed an increase of berry temperature by about +1.5 degrees C in mean value, up to +5 degrees C at times during clear sky days. This moderate increase of temperature was indicative of the predicted future climatic conditions for the mid-21st century. Berry samples were collected at 4 time points from bunch closure to maturity for each cultivar and treatment. Primary and secondary metabolites were measured in whole berries or skins.
   Results and conclusions: With this moderate temperature increase, primary metabolite content in berries did not change significantly. In H samples, anthocyanins were reduced and tannins increased before veraison, and both decreased thereafter. H samples also exhibited lower concentrations of some amino acids, especially alanine, serine and phenylalanine. IBMP (2-methoxy-3-isobutylpyrazine) concentrations were also reduced in H samples of Cabernet-Sauvignon, in both seasons, especially at bunch closure stage, but the differences diminished at full maturity. For thiol 3-sulfanyl hexanol precursors, H samples again exhibited much lower concentrations for both varieties, with weak differences at early stages that increased at later stages (up to -70% decline at maturity in 2015 for Sauvignon blanc). These results demonstrate the potential negative impact of elevated temperature on polyphenols and aroma quality of grape berries.
   Significance and impact of the study: For viticulture to adapt to new climatic conditions, the negative impacts of high temperature on secondary metabolites and aromas, and therefore on wine quality, need to be contemplated. Thus, already established or new vineyard plantings must prepare and consider practices able to mitigate these impacts, for instance practices that increase bunch shading.
C1 [Wu, Jing; Hilbert, Ghislaine; Guillaumie, Sabine; Dai, Zhanwu; Delrot, Serge; Pieri, Philippe] Univ Bordeaux, INRA, ISVV, UMR EGFV,BSA, F-33140 Villenave Dornon, France.
   [Drappier, Julie; Geny, Laurence; Darriet, Philippe; Thibon, Cecile] Univ Bordeaux, UR CEnol, F-33140 Villenave Dornon, France.
C3 Universite de Bordeaux; INRAE; Universite de Bordeaux
RP Pieri, P (corresponding author), Univ Bordeaux, INRA, ISVV, UMR EGFV,BSA, F-33140 Villenave Dornon, France.
EM Philippe.Pieri@inra.fr
RI Darriet, Philippe/AAC-9989-2022; Dai, Zhanwu/F-7355-2019
OI Dai, Zhanwu/0000-0002-7625-8337; DARRIET, Philippe/0000-0002-7202-8710;
   thibon, cecile/0000-0001-9259-5176; HILBERT,
   Ghislaine/0000-0003-0279-6703
FU CIVB; Aquitaine Region; INRA
FX This study was part of the "HeatBerry" and " LACCAVE 2" projects, with
   financial support from CIVB, Aquitaine Region and INRA. The authors
   gratefully acknowledge the help of A. Destrac and C. van Leeuwen for the
   field site and C. Renaud and E. Brouard for analysis.
CR Allen M. S., 1993, Wein-Wissenschaft, V48, P211
   ALLEN MS, 1991, AM J ENOL VITICULT, V42, P109
   [Anonymous], 1984, Elements de physiologie de la vigne et de viticulture en general
   [Anonymous], CHANGEMENT CLIMATIQU
   Azuma A, 2012, PLANTA, V236, P1067, DOI 10.1007/s00425-012-1650-x
   Bergqvist J, 2001, AM J ENOL VITICULT, V52, P1
   Bonada M, 2015, AUST J GRAPE WINE R, V21, P240, DOI 10.1111/ajgw.12142
   Carbonell-Bejerano P, 2013, PLANT CELL PHYSIOL, V54, P1200, DOI 10.1093/pcp/pct071
   Cholet C, 2014, J AGR FOOD CHEM, V62, P2925, DOI 10.1021/jf404804d
   Cohen SD, 2008, ANAL CHIM ACTA, V621, P57, DOI 10.1016/j.aca.2007.11.029
   Conde C., 2007, FOOD, V1, P1
   COOMBE BG, 1992, AM J ENOL VITICULT, V43, P101
   Darriet P, 2012, BIOCHEMISTRY OF THE GRAPE BERRY, P111
   de Boubée DR, 2000, J AGR FOOD CHEM, V48, P4830, DOI 10.1021/jf000181o
   Deluc LG, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-429
   Duchêne E, 2005, AGRON SUSTAIN DEV, V25, P93, DOI 10.1051/agro:2004057
   Duchene E., 2014, Journal International des Sciences de la Vigne et du Vin, P59
   Falcao LD, 2007, J AGR FOOD CHEM, V55, P3605, DOI 10.1021/jf070185u
   Friedel M, 2015, VITIS, V54, P107
   Guan L, 2017, FOOD RES INT, V98, P2, DOI 10.1016/j.foodres.2017.01.008
   Guillaumie S, 2013, PLANT PHYSIOL, V162, P604, DOI 10.1104/pp.113.218313
   Hannah L, 2013, P NATL ACAD SCI USA, V110, P6907, DOI 10.1073/pnas.1210127110
   Jeandet P, 2010, BIOFACTORS, V36, P331, DOI 10.1002/biof.108
   Jones GV, 2000, AM J ENOL VITICULT, V51, P249
   Jones GV, 2005, CLIMATIC CHANGE, V73, P319, DOI 10.1007/s10584-005-4704-2
   Jouzel J, 2014, CLIM REUN
   Kaplan F, 2004, PLANT PHYSIOL, V136, P4159, DOI 10.1104/pp.104.052142
   Keller M, 2010, AUST J GRAPE WINE R, V16, P56, DOI 10.1111/j.1755-0238.2009.00077.x
   LACEY MJ, 1991, AM J ENOL VITICULT, V42, P103
   Lecourieux F, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00053
   Marais J., 1999, South African Journal for Enology and Viticulture, V20, P19
   MARCY JE, 1981, J FOOD SCI, V46, P543, DOI 10.1111/j.1365-2621.1981.tb04906.x
   Moreira N, 2002, ANAL CHIM ACTA, V458, P157, DOI 10.1016/S0003-2670(01)01618-X
   Mori K, 2007, J EXP BOT, V58, P1935, DOI 10.1093/jxb/erm055
   Parker AK, 2011, AUST J GRAPE WINE R, V17, P206, DOI 10.1111/j.1755-0238.2011.00140.x
   Pastore C, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.00929
   Peña-Gallego A, 2012, FOOD CHEM, V131, P1, DOI 10.1016/j.foodchem.2011.07.079
   Pieri P, 2016, OENO ONE, V50, P145, DOI 10.20870/oeno-one.2016.50.3.52
   Sadras VO, 2012, AUST J GRAPE WINE R, V18, P115, DOI 10.1111/j.1755-0238.2012.00180.x
   Sadras VO, 2009, EUR J AGRON, V31, P250, DOI 10.1016/j.eja.2009.09.004
   Sivilotti P, 2017, J AGR FOOD CHEM, V65, P8426, DOI 10.1021/acs.jafc.7b03508
   Soubeyrand E, 2014, PHYTOCHEMISTRY, V103, P38, DOI 10.1016/j.phytochem.2014.03.024
   Sweetman C, 2014, J EXP BOT, V65, P5975, DOI 10.1093/jxb/eru343
   Thibon C, 2016, FOOD CHEM, V199, P711, DOI 10.1016/j.foodchem.2015.12.069
   Tomasi D, 2011, AM J ENOL VITICULT, V62, P329, DOI 10.5344/ajev.2011.10108
   Tominaga T, 1998, J AGR FOOD CHEM, V46, P5215, DOI 10.1021/jf980481u
   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, 2013, P NATL ACAD SCI USA, V110, pE3051, DOI 10.1073/pnas.1307927110
   Yamakawa H, 2010, PLANT CELL PHYSIOL, V51, P795, DOI 10.1093/pcp/pcq034
NR 50
TC 26
Z9 28
U1 2
U2 35
PU VIGNE ET VIN PUBLICATIONS INT
PI VILLENAVE D ORNON
PA 210 CHEMIN DE LEYSOTTE CS 50008, 33882 VILLENAVE D ORNON, FRANCE
EI 2494-1271
J9 OENO ONE
JI OENE One
PY 2019
VL 53
IS 2
BP 321
EP 333
DI 10.20870/oeno-one.2019.53.2.2434
PG 13
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Food Science & Technology
GA IU0KV
UT WOS:000483268000016
OA Green Published, gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Yeaman, S
   Hodgins, KA
   Lotterhos, KE
   Suren, H
   Nadeau, S
   Degner, JC
   Nurkowski, KA
   Smets, P
   Wang, TL
   Gray, LK
   Liepe, KJ
   Hamann, A
   Holliday, JA
   Whitlock, MC
   Rieseberg, LH
   Aitken, SN
AF Yeaman, Sam
   Hodgins, Kathryn A.
   Lotterhos, Katie E.
   Suren, Haktan
   Nadeau, Simon
   Degner, Jon C.
   Nurkowski, Kristin A.
   Smets, Pia
   Wang, Tongli
   Gray, Laura K.
   Liepe, Katharina J.
   Hamann, Andreas
   Holliday, Jason A.
   Whitlock, Michael C.
   Rieseberg, Loren H.
   Aitken, Sally N.
TI Convergent local adaptation to climate in distantly related conifers
SO SCIENCE
LA English
DT Article
ID INTERIOR SPRUCE; LODGEPOLE PINE; GENE FLOW; EVOLUTION; DIVERGENCE;
   PARALLELISM; ALLELES
AB When confronted with an adaptive challenge, such as extreme temperature, closely related species frequently evolve similar phenotypes using the same genes. Although such repeated evolution is thought to be less likely in highly polygenic traits and distantly related species, this has not been tested at the genome scale. We performed a population genomic study of convergent local adaptation among two distantly related species, lodgepole pine and interior spruce. We identified a suite of 47 genes, enriched for duplicated genes, with variants associated with spatial variation in temperature or cold hardiness in both species, providing evidence of convergent local adaptation despite 140 million years of separate evolution. These results show that adaptation to climate can be genetically constrained, with certain key genes playing nonredundant roles.
C1 [Yeaman, Sam] Univ Calgary, Dept Biol Sci, Calgary, AB, Canada.
   [Yeaman, Sam; Nadeau, Simon; Degner, Jon C.; Smets, Pia; Wang, Tongli; Aitken, Sally N.] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC, Canada.
   [Hodgins, Kathryn A.; Nurkowski, Kristin A.] Monash Univ, Sch Biol Sci, Melbourne, Vic, Australia.
   [Lotterhos, Katie E.] Northeastern Univ, Dept Marine & Environm Sci, Nahant, MA USA.
   [Suren, Haktan; Holliday, Jason A.] Virginia Polytech Inst & State Univ, Dept Forest Resources & Environm Conservat, Blacksburg, VA 24061 USA.
   [Gray, Laura K.; Liepe, Katharina J.; Hamann, Andreas] Univ Alberta, Dept Renewable Resources, Edmonton, AB, Canada.
   [Whitlock, Michael C.] Univ British Columbia, Dept Zool, Vancouver, BC, Canada.
   [Rieseberg, Loren H.] Univ British Columbia, Dept Bot, Vancouver, BC, Canada.
C3 University of Calgary; University of British Columbia; Monash
   University; Northeastern University; Virginia Polytechnic Institute &
   State University; University of Alberta; University of British Columbia;
   University of British Columbia
RP Aitken, SN (corresponding author), Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC, Canada.
EM sally.aitken@ubc.ca
RI Whitlock, Michael/G-1900-2012; Yeaman, Sam/C-7778-2011; Nadeau,
   Simon/A-9303-2016; Wang, Tongli/AAC-8644-2020; Rieseberg,
   Loren/B-3591-2013
OI Wang, Tongli/0000-0002-9967-6769; Liepe, Katharina/0000-0003-0511-4325;
   Lotterhos, Kathleen/0000-0001-7529-2771; Whitlock,
   Michael/0000-0002-0782-1843; Hodgins, Kathryn/0000-0003-2795-5213;
   Rieseberg, Loren/0000-0002-2712-2417
FU Genome Canada; Genome BC; Genome Alberta; Alberta Innovates
   BioSolutions; Forest Genetics Council of British Columbia; Virginia
   Tech; University of British Columbia; NSF Plant Genome Research Program
   [IOS: 1054444]; USDA National Institute of Food and Agriculture;
   McIntire Stennis Project [10005394]; British Columbia Ministry of
   Forests, Lands and Natural Resource Operations; Division Of Integrative
   Organismal Systems; Direct For Biological Sciences [1054444] Funding
   Source: National Science Foundation
FX We thank D. Bachelet, E. Buckler, G. Howe, O. Savolainen, P. Ingvarsson,
   J. Mee, T. Parchman, R. Barrett, and D. Schluter for comments, and R.
   Baranowski for support on Westgrid. Seeds were kindly provided by 63
   forest companies and agencies in British Columbia and Alberta (listed at
   adaptree.sites.olt.ubc.ca/seed contributors), facilitated by the BC Tree
   Seed Centre and the Alberta Tree Improvement and Seed Centre. D. Neale
   and J. Bohlmann generously provided access to loblolly pine and white
   spruce draft genomes prior to their release. This research was part of
   the AdapTree Project (S.N.A. and A.H., co-project leaders) funded by
   Genome Canada, Genome BC, Genome Alberta, Alberta Innovates
   BioSolutions, the Forest Genetics Council of British Columbia, Virginia
   Tech, the University of British Columbia, NSF Plant Genome Research
   Program grant IOS: 1054444 (J.A.H.), USDA National Institute of Food and
   Agriculture, McIntire Stennis Project grant 10005394 (J. A.H.), and the
   British Columbia Ministry of Forests, Lands and Natural Resource
   Operations. Sequence data are deposited in the Short Read Archive
   (SRP071805; PRJNA251573) and data and analysis scripts are deposited in
   Dryad (doi: 10.5061/dryad.0t407). The authors declare no conflicts of
   interest.
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Colosimo PF, 2005, SCIENCE, V307, P1928, DOI 10.1126/science.1107239
   Conte GL, 2012, P ROY SOC B-BIOL SCI, V279, P5039, DOI 10.1098/rspb.2012.2146
   Hodgins KA, 2016, MOL BIOL EVOL, V33, P1502, DOI 10.1093/molbev/msw032
   Holliday JA, 2016, NEW PHYTOL, V209, P1240, DOI 10.1111/nph.13643
   Hornoy B, 2015, GENOME BIOL EVOL, V7, P3269, DOI 10.1093/gbe/evv218
   Liepe KJ, 2016, EVOL APPL, V9, P409, DOI 10.1111/eva.12345
   Lotterhos KE, 2015, MOL ECOL, V24, P1031, DOI 10.1111/mec.13100
   Ma Y, 2009, SCIENCE, V324, P1064, DOI 10.1126/science.1172408
   Manceau M, 2010, PHILOS T R SOC B, V365, P2439, DOI 10.1098/rstb.2010.0104
   Martin A, 2013, EVOLUTION, V67, P1235, DOI 10.1111/evo.12081
   Nakamichi N, 2012, P NATL ACAD SCI USA, V109, P17123, DOI 10.1073/pnas.1205156109
   Ohno S., 1970, P1
   Parchman TL, 2012, MOL ECOL, V21, P2991, DOI 10.1111/j.1365-294X.2012.05513.x
   Rockman MV, 2012, EVOLUTION, V66, P1, DOI 10.1111/j.1558-5646.2011.01486.x
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Simpson GG, 2003, CELL, V113, P777, DOI 10.1016/S0092-8674(03)00425-2
   Soria-Carrasco V, 2014, SCIENCE, V344, P738, DOI 10.1126/science.1252136
   Stern DL, 2013, NAT REV GENET, V14, P751, DOI 10.1038/nrg3483
   Wang XQ, 2000, MOL BIOL EVOL, V17, P773, DOI 10.1093/oxfordjournals.molbev.a026356
   Yanchukov A, 2012, EVOLUTION, V66, P1543, DOI 10.1111/j.1558-5646.2011.01551.x
   Yeaman S, 2015, AM NAT, V186, pS74, DOI 10.1086/682405
   Yeaman S, 2014, NEW PHYTOL, V203, P578, DOI 10.1111/nph.12819
   Yeaman S, 2013, P NATL ACAD SCI USA, V110, pE1743, DOI 10.1073/pnas.1219381110
NR 24
TC 226
Z9 248
U1 8
U2 192
PU AMER ASSOC ADVANCEMENT SCIENCE
PI WASHINGTON
PA 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA
SN 0036-8075
EI 1095-9203
J9 SCIENCE
JI Science
PD SEP 23
PY 2016
VL 353
IS 6306
BP 1431
EP 1433
DI 10.1126/science.aaf7812
PG 3
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA DW5TB
UT WOS:000383708700043
PM 27708038
HC Y
HP N
DA 2025-01-10
ER

PT J
AU Lee, CC
   Wang, CW
   Thinh, BT
   Xu, ZT
AF Lee, Chien-Chiang
   Wang, Chih-Wei
   Bui Tien Thinh
   Xu, Zhi-Ting
TI Climate risk and bank liquidity creation: International evidence
SO INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
LA English
DT Article
DE Climate sensitivity; Climate exposure; Climate adaptive capability; Bank
   liquidity creation
ID FINANCIAL STABILITY; DEPOSIT INSURANCE; GREEN ECONOMY; CARBON;
   COMPETITION; GROWTH
AB This study examines the impact of climate risk on bank liquidity creation in 56 countries over the period 1995-2012. Specifically, it investigates whether the relationship between climate risk and bank liquidity creation varies by bank and country characteristics. The results reveal that climate sensitivity and exposure have negative impacts on overall liquidity creation, whereas climate adaptation has positive effects. These effects are more pronounced for larger banks with lower capital, banks located in lower-GDP and developing countries, and those in Asia. The results suggest that policymakers should exercise caution when formulating and implementing climate-related strategies, as these can influence liquidity creation, which in turn can affect macroeconomic stability.
C1 [Lee, Chien-Chiang] Nanchang Univ, Sch Econ & Management, Nanchang, Jiangxi, Peoples R China.
   [Wang, Chih-Wei; Bui Tien Thinh; Xu, Zhi-Ting] Natl Cent Univ, Dept Finance, Taoyuan, Taiwan.
C3 Nanchang University; National Central University
RP Wang, CW; Thinh, BT (corresponding author), Natl Cent Univ, Dept Finance, Taoyuan, Taiwan.
EM redrum3690@gmail.com; buitienthinh.k11401@gmail.com
RI Lee, Chien-Chiang/AAZ-9983-2020
OI Wang, Chih-Wei/0000-0002-6482-6616
CR Baker E, 2008, ENERG ECON, V30, P465, DOI 10.1016/j.eneco.2006.10.003
   Baker SR, 2016, Q J ECON, V131, P1593, DOI 10.1093/qje/qjw024
   Batten S., 2020, ECOLOGICAL SOC TECHN, P13
   Begenau J, 2020, J FINANC ECON, V136, P355, DOI 10.1016/j.jfineco.2019.10.004
   Berger A.M., 2017, Status of the Pacific Hake (whiting) stock in U.S. and Canadian waters in 2017, P1, DOI 10.1016/j. jpowsour.2017.03.016
   Berger AN, 2022, J FINANC INTERMED, V49, DOI 10.1016/j.jfi.2020.100893
   Berger AN, 2019, J FINANC STABIL, V44, DOI 10.1016/j.jfs.2019.100692
   Berger AN, 2017, J BANK FINANC, V81, P1, DOI 10.1016/j.jbankfin.2017.04.005
   Berger AN, 2016, J FINANC INTERMED, V26, P115, DOI 10.1016/j.jfi.2016.01.001
   Berger AN, 2009, REV FINANC STUD, V22, P3779, DOI 10.1093/rfs/hhn104
   Bos JWB, 2022, ECON MODEL, V108, DOI 10.1016/j.econmod.2022.105760
   Bose S, 2021, J CORP FINANC, V70, DOI 10.1016/j.jcorpfin.2021.102058
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Calvin K, 2012, ENERG ECON, V34, pS251, DOI 10.1016/j.eneco.2012.09.003
   Carraro C, 2012, ENERG ECON, V34, pS15, DOI 10.1016/j.eneco.2012.08.036
   Carroll CD, 2001, J ECON PERSPECT, V15, P23, DOI 10.1257/jep.15.3.23
   Chen SY, 2014, ENERG ECON, V44, P89, DOI 10.1016/j.eneco.2014.04.002
   Chen Y, 2021, ENERG ECON, V102, DOI 10.1016/j.eneco.2021.105492
   Cheung YL, 2020, J BANK FINANC, V118, DOI 10.1016/j.jbankfin.2020.105810
   Cohen MA, 2012, ENERG ECON, V34, pS53, DOI 10.1016/j.eneco.2012.08.032
   Cornett MM, 2021, J BANK FINANC, V133, DOI 10.1016/j.jbankfin.2021.106272
   Corté KR, 2017, J FINANC ECON, V125, P182, DOI 10.1016/j.jfineco.2017.04.011
   Dafermos Y, 2018, ECOL ECON, V152, P219, DOI 10.1016/j.ecolecon.2018.05.011
   DIAMOND DW, 1983, J POLIT ECON, V91, P401, DOI 10.1086/261155
   Diaz-Rainey I, 2021, INT REV FINANC ANAL, V76, DOI 10.1016/j.irfa.2021.101746
   Duan Y, 2020, N AM J ECON FINANC, V54, DOI 10.1016/j.najef.2020.101250
   EHLERS T, 2021, J BANK FINANC
   El Ghoul S, 2011, J BANK FINANC, V35, P2388, DOI 10.1016/j.jbankfin.2011.02.007
   Fankhauser S, 2005, RESOUR ENERGY ECON, V27, P1, DOI 10.1016/j.reseneeco.2004.03.003
   Fidrmuc J., 2015, SSRN ELECT J, DOI DOI 10.2139/SSRN.2565350
   Gatev E, 2006, J FINANC, V61, P867, DOI 10.1111/j.1540-6261.2006.00857.x
   Gupta J, 2020, PAC-BASIN FINANC J, V64, DOI 10.1016/j.pacfin.2020.101439
   Horvath R, 2016, ECON MODEL, V52, P155, DOI 10.1016/j.econmod.2014.11.032
   Hsieh MF, 2020, ECON SYST, V44, DOI 10.1016/j.ecosys.2020.100791
   Hsieh MF, 2020, ASIA-PAC J FINANC ST, V49, P368
   Hu GQ, 2021, ENERG ECON, V98, DOI 10.1016/j.eneco.2021.105134
   Huang HH, 2018, J INT BUS STUD, V49, P633, DOI 10.1057/s41267-017-0125-5
   Huynh TD, 2020, J CORP FINANC, V65, DOI 10.1016/j.jcorpfin.2020.101750
   Javadi S, 2021, J CORP FINANC, V69, DOI 10.1016/j.jcorpfin.2021.102019
   Jiang LL, 2019, J FINANC QUANT ANAL, V54, P513, DOI 10.1017/S0022109018000820
   Jung J, 2018, J BUS ETHICS, V150, P1151, DOI 10.1007/s10551-016-3207-6
   Kahn ME, 2021, ENERG ECON, V104, DOI 10.1016/j.eneco.2021.105624
   Kanga D, 2020, J BANK FINANC, V114, DOI 10.1016/j.jbankfin.2020.105814
   Kashyap AK, 2002, J FINANC, V57, P33, DOI 10.1111/1540-6261.00415
   Koetter M, 2020, J FINANC INTERMED, V43, DOI 10.1016/j.jfi.2019.01.003
   Lee C. C., 2022, EMERG MARK FINANC TR, P1
   Lee CC, 2022, ENERG ECON, V107, DOI 10.1016/j.eneco.2022.105863
   Lee CC, 2022, ECON ANAL POLICY, V74, P122, DOI 10.1016/j.eap.2022.01.015
   Liu M, 2021, ENERG ECON, V103, DOI 10.1016/j.eneco.2021.105622
   Liu ZH, 2021, INT REV ECON FINANC, V76, P1379, DOI 10.1016/j.iref.2019.11.019
   Loiseau E, 2016, J CLEAN PROD, V139, P361, DOI 10.1016/j.jclepro.2016.08.024
   Matraeva L, 2019, ENERG POLICY, V125, P478, DOI 10.1016/j.enpol.2018.10.049
   Mealy P, 2022, RES POLICY, V51, DOI 10.1016/j.respol.2020.103948
   Nguyen JH, 2020, J CORP FINANC, V64, DOI 10.1016/j.jcorpfin.2020.101713
   Pechan A, 2014, ENERG ECON, V43, P63, DOI 10.1016/j.eneco.2014.02.006
   Pennacchi G, 2006, J MONETARY ECON, V53, P1, DOI 10.1016/j.jmoneco.2005.10.007
   Phan D.H.B., 2021, FINANC RES LETT
   Rezai A, 2018, ECOL ECON, V146, P164, DOI 10.1016/j.ecolecon.2017.10.020
   Shen JHN, 2022, STRUCT CHANGE ECON D, V60, P365, DOI 10.1016/j.strueco.2021.12.012
   de Souza SRS, 2016, J FINANC STABIL, V25, P179, DOI 10.1016/j.jfs.2015.10.001
   Stroebel J, 2021, J FINANC ECON, V142, P487, DOI 10.1016/j.jfineco.2021.08.004
   Tamazian A, 2010, ENERG ECON, V32, P137, DOI 10.1016/j.eneco.2009.04.004
   Tan XC, 2021, J CLEAN PROD, V289, DOI 10.1016/j.jclepro.2020.125669
   Tang Y, 2021, PAC-BASIN FINANC J, V67, DOI 10.1016/j.pacfin.2021.101523
   Thakor AV, 2005, J MONEY CREDIT BANK, V37, P1067, DOI 10.1353/mcb.2006.0009
   Tran VT, 2016, INT REV FINANC ANAL, V48, P98, DOI 10.1016/j.irfa.2016.09.010
   Wang CW, 2022, PAC-BASIN FINANC J, V71, DOI 10.1016/j.pacfin.2022.101708
   Wang XJ, 2022, J BANK FINANC, V134, DOI 10.1016/j.jbankfin.2021.106354
   Wen HW, 2023, ENERG J, V44, P79, DOI 10.5547/01956574.44.2.hwen
   Williams B, 2022, PAC-BASIN FINANC J, V71, DOI 10.1016/j.pacfin.2021.101693
   Wu MW, 2013, J BANK FINANC, V37, P3529, DOI 10.1016/j.jbankfin.2013.04.023
   Wu WM, 2021, FINANC INNOV, V7, DOI 10.1186/s40854-021-00240-6
   Yao SY, 2021, ENERG ECON, V101, DOI 10.1016/j.eneco.2021.105415
   Zhang DY, 2022, ECON ANAL POLICY, V74, P220, DOI 10.1016/j.eap.2022.02.003
   Zhang XM, 2022, ENERG ECON, V106, DOI 10.1016/j.eneco.2021.105787
   Zhang XM, 2021, J FINANC STABIL, V53, DOI 10.1016/j.jfs.2021.100844
   Zheng C, 2019, J BANK FINANC, V108, DOI 10.1016/j.jbankfin.2019.105651
   Zhou FX, 2022, TELECOMMUN POLICY, V46, DOI 10.1016/j.telpol.2022.102347
NR 78
TC 45
Z9 45
U1 23
U2 115
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1057-5219
EI 1873-8079
J9 INT REV FINANC ANAL
JI Int. Rev. Financ. Anal.
PD JUL
PY 2022
VL 82
AR 102198
DI 10.1016/j.irfa.2022.102198
EA MAY 2022
PG 20
WC Business, Finance
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA 4O8SO
UT WOS:000854963600003
DA 2025-01-10
ER

PT J
AU Melbourne-Thomas, J
   Lin, BB
   Hopkins, M
   Hill, R
   Dunlop, M
   MacGregor, N
   Vertigan, C
   Donegan, L
   Sheppard, M
   Meyers, J
   Thomas, L
   Visschers, L
   McNeair, B
   Syme, L
   Grant, C
   Pedrocchi, N
   Oakley, P
   Stevens, A
   Rose, D
   Rose, E
   Gould, J
   Locke, J
   Maybanks, L
   Ireland, T
AF Melbourne-Thomas, Jess
   Lin, Brenda B.
   Hopkins, Mandy
   Hill, Rosemary
   Dunlop, Michael
   MacGregor, Nicholas
   Vertigan, Caitlin
   Donegan, Luke
   Sheppard, Marian
   Meyers, Jacqui
   Thomas, Linda
   Visschers, Lola
   McNeair, Bianca
   Syme, Lance
   Grant, Chrissy
   Pedrocchi, Nicholas
   Oakley, Patricia
   Stevens, Amy
   Rose, Denis
   Rose, Erin
   Gould, Jade
   Locke, John
   Maybanks, Lynda
   Ireland, Tracy
TI Building capacity for climate adaptation planning in protected area
   management: Options and challenges for World Heritage
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Indigenous; Protected areas; Ramsar; World Heritage; Climate change;
   Vulnerability; Adaptation; Indigenous pathways; Cultural heritage;
   Natural heritage; Outstanding Universal Value
ID INDIGENOUS KNOWLEDGE; VULNERABILITY; CONSERVATION; PATHWAYS; PEOPLES;
   SCIENCE; VALUES
AB Response and adaptation to the impacts of climate change is a vital and increasing requirement for protected area management. On the ground managers of cultural and natural values in protected places have requested practical guidance on how to undertake climate change impact analysis, vulnerability assessment, and adaptation planning together with enhanced capacity for planning with partners, rightsholders and stakeholders. In this paper we explore how co-development and subsequent testing among World Heritage site managers, Indigenous experts and researchers, produced guidance for assessing, responding to and planning for the impacts of climate change on the diverse values of World Heritage sites in Australia. We draw on the diversity of cultural and natural heritage values associated with the terrestrial, coastal and marine environments in Australian World Heritage sites, and the broad range of institutional contexts in these sites, to highlight considerations of relevance to other protected areas (including other World Heritage sites around the world, Ramsar wetlands and marine protected areas). Our paper highlights that, for climate adaptation planning to become a normal part of management, there is a need for ongoing capacity building, including around the use of climate information to inform adaptation planning and implementation, as well as integrating Indigenous perspectives. Building capacity may involve trial and error, negotiation, sharing, sourcing and interpreting new information, and changes in expectations. It will require novel and more dynamic relationships between partners and stakeholders. Managers should include capacity building for climate adaptation planning and implementation as a specific climate adaptation task in their planning.
C1 [Melbourne-Thomas, Jess; Thomas, Linda] CSIRO Environm, Hobart, Australia.
   [Melbourne-Thomas, Jess] Univ Tasmania, Ctr Marine Socioecol, Hobart, Australia.
   [Lin, Brenda B.] CSIRO Environm, Brisbane, Australia.
   [Hopkins, Mandy] Univ Southern Queensland, Ctr Appl Climate Sci, Toowoomba, Australia.
   [Hill, Rosemary] James Cook Univ, Coll Sci & Engn, Cairns, Australia.
   [Dunlop, Michael; Meyers, Jacqui] CSIRO Environm, Canberra, Australia.
   [MacGregor, Nicholas] Pk Australia, Canberra, Australia.
   [Vertigan, Caitlin] Port Arthur Hist Site Management Author, Port Arthur, Australia.
   [Donegan, Luke] Fremantle Prison, Fremantle, Australia.
   [Sheppard, Marian] CSIRO Environm, Aspendale, Australia.
   [Visschers, Lola] Univ East Anglia, Sch Environm Sci, Norwich, England.
   [McNeair, Bianca] Australian Inst Marine Sci, Crawley, Australia.
   [Syme, Lance] Kayandel Archaeol Serv, Sydney, Australia.
   [Grant, Chrissy; Gould, Jade] Univ Sunshine Coast, Sunshine Coast, Australia.
   [Stevens, Amy] Murujuga Aboriginal Corp, Dampier, Australia.
   [Rose, Denis; Rose, Erin] Gunditj Mirring Tradit Owners Aboriginal Corp, Melbourne, Australia.
   [Locke, John] BioCultural Consulting, Maroochydore, Qld, Australia.
   [Maybanks, Lynda] Wirrinyah First Nations Conservat Serv, Ipswich, Australia.
   [Ireland, Tracy] Univ Canberra, Fac Arts & Design, Canberra, Australia.
   [MacGregor, Nicholas] Univ Kent, Durrell Inst Conservat & Ecol DICE, Sch Anthropol & Conservat, Canterbury, England.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Tasmania; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); University of Southern Queensland; James Cook
   University; Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); Commonwealth Scientific & Industrial Research Organisation
   (CSIRO); University of East Anglia; Australian Institute of Marine
   Science; University of the Sunshine Coast; University of Canberra;
   University of Kent
RP Melbourne-Thomas, J (corresponding author), CSIRO Environm, Hobart, Australia.
RI Dunlop, Michael/D-5361-2011; Hill, Rosemary/A-6954-2011; Lin,
   Brenda/A-8834-2011; Melbourne-Thomas, Jess/N-2437-2019; Ireland,
   Tracy/AAO-9197-2021
OI Melbourne-Thomas, Jess/0000-0001-6585-876X; Dunlop,
   Michael/0000-0001-8032-9196; Lin, Brenda/0000-0002-6011-9172; Sheppard,
   Marian/0000-0003-1628-889X
FU Australian Commonwealth Department of Climate Change, Energy, the
   Environment and Water
FX This work was supported by the Australian Commonwealth Department of
   Climate Change, Energy, the Environment and Water. We would like to
   thank the Australian World Heritage property managers and other
   stakeholders who provided their valuable time and knowledge through
   numerous discussions supporting the development of this work. Particular
   thanks to the Willandra Lakes Region World Heritage Advisory Committee
   and also to the anonymous reviewers whose suggestions were very helpful
   in improving the manuscript.
CR [Anonymous], 2021, Operational Guidelines for the Implementation of the World Heritage Convention
   [Anonymous], 2013, THE BURR CHART
   Aspden L., 2013, Natural England Research Reports
   Bamzai-Dodson A, 2021, WEATHER CLIM SOC, V13, P1027, DOI 10.1175/WCAS-D-21-0046.1
   Bruno JF, 2018, NAT CLIM CHANGE, V8, P499, DOI 10.1038/s41558-018-0149-2
   Carmichael B, 2020, CLIMATE, V8, DOI 10.3390/cli8080088
   Carmichael B, 2018, MITIG ADAPT STRAT GL, V23, P231, DOI 10.1007/s11027-016-9734-8
   Cross MS, 2022, ENVIRON MANAGE, V70, P881, DOI 10.1007/s00267-022-01718-4
   CSIRO, 2018, Climate Compass: A Climate Risk Management Framework for Commonwealth Agencies
   CSIRO WHPM IRG, 2022, The Implications of Climate Change for World Heritage Properties in Australia: Assessment of Impacts and Vulnerabilities
   CVI, 2023, Climate Vulnerability Index
   David-Chavez DM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaf300
   De Lange HJ, 2010, SCI TOTAL ENVIRON, V408, P3871, DOI 10.1016/j.scitotenv.2009.11.009
   Dilling L, 2015, WIRES CLIM CHANGE, V6, P413, DOI 10.1002/wcc.341
   Disko S., 2014, World Heritage sites and indigenous peoples' rights (Document 129)
   Dunlop M., 2016, Climate-Ready Biodiversity Management: A Tool to Help Design Biodiversity Projects in the Face of Climate Change
   Dunlop M., 2019, Methodology for Analysing the Vulnerability to Climate Change of Ramsar Wetlands Sites, DOI [10.25919/5f5fbdb711fab, DOI 10.25919/5F5FBDB711FAB]
   Fazey I, 2016, CLIM DEV, V8, P26, DOI 10.1080/17565529.2014.989192
   Fischer M, 2022, REV FISH BIOL FISHER, V32, P271, DOI 10.1007/s11160-021-09679-3
   Fleming A, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100364
   Gorddard R, 2016, ENVIRON SCI POLICY, V57, P60, DOI 10.1016/j.envsci.2015.12.004
   Gray CL, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12306
   Gross JohnE., 2016, ADAPTING CLIMATE CHA
   Hill R, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102161
   Hill R, 2020, CURR OPIN ENV SUST, V43, P8, DOI 10.1016/j.cosust.2019.12.006
   Hill R, 2011, INT J HERIT STUD, V17, P571, DOI 10.1080/13527258.2011.618252
   Ireland T, 2020, INT J HERIT STUD, V26, P826, DOI 10.1080/13527258.2020.1755882
   Janke T., 2021, AUSTR STATE ENV 2021, DOI [10.26194/3JDV-NH67, DOI 10.26194/3JDV-NH67]
   Johnston A, 2013, NAT CLIM CHANGE, V3, P1055, DOI 10.1038/NCLIMATE2035
   Jones KR, 2018, SCIENCE, V360, P788, DOI 10.1126/science.aap9565
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Lee H., 2023, CLIMATE CHANGE 2023, DOI DOI 10.59327/IPCC/AR6-9789291691647
   Lemieux CJ, 2011, LAND USE POLICY, V28, P928, DOI 10.1016/j.landusepol.2011.03.008
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lin BB, 2023, NAT SUSTAIN, V6, P1157, DOI 10.1038/s41893-023-01153-1
   Lynch AJ, 2022, BIOSCIENCE, V72, P45, DOI 10.1093/biosci/biab091
   Lyons I, 2020, GEOGR RES-AUST, V58, DOI 10.1111/1745-5871.12385
   Macgregor NA, 2014, ENVIRON MANAGE, V54, P700, DOI 10.1007/s00267-014-0254-6
   Mahmoud M, 2009, ENVIRON MODELL SOFTW, V24, P798, DOI 10.1016/j.envsoft.2008.11.010
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mason C., 2023, Climate adaptation calendar 2024: climate adaptation interventions for Australia's biodiversity
   Mason C, 2021, CONSERV SCI PRACT, V3, DOI 10.1111/csp2.434
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Melbourne-Thomas J., 2022, Climate Change Toolkit for World Heritage Properties in Australia: Handbook and Workbook
   Miller BW, 2022, CONSERV SCI PRACT, V4, DOI 10.1111/csp2.12633
   Morecroft MD, 2012, J APPL ECOL, V49, P547, DOI [10.1111/j.1365-2664.2012.02136.x, 10.1111/j.1365-2664.2012.02147.x]
   Morgan-Bulled D., 2021, National First Peoples Gathering on Climate Change: Workshop Report
   National Park Service (NPS), 2021, Planning for a changing climate: climate-smart planning and management in the National Park Service
   NE-RSPB, 2019, Climate Change Adaptation Manual - Evidence to Support Nature Conservation in a Changing Climate, V2nd
   Orlove B, 2023, AMBIO, V52, P1431, DOI 10.1007/s13280-023-01857-w
   Osipova E., 2020, IUCN WORLD HERITAGE
   Parry M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P1
   Perry J., 2014, Climate Change Adaptation for Natural World Heritage Sites: A Practical Guide, V37
   Perry J, 2015, LANDSCAPE URBAN PLAN, V133, P1, DOI 10.1016/j.landurbplan.2014.08.013
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Rannow S., 2014, Advances in Global Change Research, V58
   Rannow S, 2014, ENVIRON MANAGE, V54, P732, DOI 10.1007/s00267-014-0271-5
   Seekamp E, 2020, CLIMATIC CHANGE, V162, P41, DOI 10.1007/s10584-020-02812-4
   Serrao-Neumann S, 2021, NAT CLIM CHANGE, V11, P1006, DOI 10.1038/s41558-021-01221-4
   Sesana E, 2018, GEOSCIENCES, V8, DOI 10.3390/geosciences8080305
   Shaw A, 2009, GLOBAL ENVIRON CHANG, V19, P447, DOI 10.1016/j.gloenvcha.2009.04.002
   Smith A, 2019, ARCHAEOLOGIES, V15, P285, DOI 10.1007/s11759-019-09368-5
   Smith MS, 2011, PHILOS T R SOC A, V369, P196, DOI 10.1098/rsta.2010.0277
   Speakman L., 2013, Natural England Research Reports
   St-Laurent GP, 2022, ENVIRON SCI POLICY, V127, P87, DOI 10.1016/j.envsci.2021.10.019
   St-Laurent GP, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01556-2
   Townsend J, 2020, FACETS, V5, P551, DOI 10.1139/facets-2019-0058
   Tulloch AIT, 2020, GLOBAL CHANGE BIOL, V26, P5816, DOI 10.1111/gcb.15272
   UNESCO, 2018, World Heritage and wetlands - World Heritage review no89 on wetlands
   van Kerkhoff L, 2019, AMBIO, V48, P699, DOI 10.1007/s13280-018-1121-0
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   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
   Wise RM, 2022, NAT CLIM CHANGE, V12, P881, DOI 10.1038/s41558-022-01468-5
   Woodward E., 2020, Best Practice Guidelines from Australian Experiences
NR 76
TC 1
Z9 1
U1 9
U2 20
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0006-3207
EI 1873-2917
J9 BIOL CONSERV
JI Biol. Conserv.
PD FEB
PY 2024
VL 290
AR 110459
DI 10.1016/j.biocon.2024.110459
EA FEB 2024
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA KS5M6
UT WOS:001181968300001
DA 2025-01-10
ER

PT J
AU Clifford, KR
   Henderson, J
   McAlear, Z
   Dilling, L
   Duncan, B
   Ehert, S
   Arens, S
   Page, R
   Rick, U
AF Clifford, K. R.
   Henderson, J.
   McAlear, Z.
   Dilling, L.
   Duncan, B.
   Ehert, S.
   Arens, S.
   Page, R.
   Rick, U.
TI The "Nuts and Bolts" of Doing Coproduction Exploring Implementation
   Decisions in Climate Adaptation Research with Stakeholders
SO BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
LA English
DT Article
DE Adaptation; Decision support; Planning; Resilience; Societal impacts
ID LOCAL KNOWLEDGE; SCIENCE; COMMUNITIES; INFORMATION; USABILITY; OUTCOMES;
   POLICY
AB Developing local climate adaptation strategies that respond to weather and climate extremes is increasingly salient. Coproducing knowledge and climate adaptation strategies can be an important approach to ensuring that they are context specific, meet community needs, and are deemed usable by local decision-makers. Most of the guidance for coproduction has focused on important, overarching themes and ethical considerations like trust, iteration, and flexibility; these are incredibly valuable, but little attention has been focused on specific, highly consequential research decisions that researchers must make that shape project outcomes. Here, we reflect on our experience in a pilot project coproducing climate adaptation knowledge and strategies in six rural communities. We identify eight questions that researchers coproducing science with commu-nities will need to grapple with when designing and conducting research and discuss some of the related trade-offs of each. Topics include community recruitment, champion selection, participant makeup, geography, clarifying expectations, timing, prioritization, and next steps. The questions are broadly applicable to knowledge coproduction and important especially as greater attention is being given to the ethics of doing this work, the power relations, and the potential risk associ-ated with it. We hope that these questions can guide a dialogue for others and motivate explicit discussions of trade-offs involved in planning research that is coproduced with communities. We call for more of this type of self-reflection and sharing across our research community to deepen our knowledge and hopefully lead to a more rapid improvement in outcomes across the many efforts underway today to cocreate climate knowledge for adaptation.
C1 [Clifford, K. R.; Dilling, L.; Duncan, B.; Arens, S.; Rick, U.] Univ Colorado, Western Water Assessment, Boulder, CO 80309 USA.
   [Henderson, J.] Texas Tech Univ, Geog Dept, Lubbock, TX USA.
   [McAlear, Z.] MIT, Dept Urban Studies & Planning, Cambridge, MA USA.
   [Dilling, L.] Univ Colorado, Environm Studies Program, Boulder, CO USA.
   [Dilling, L.] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA.
   [Ehert, S.] Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland.
   [Page, R.] Puget Sound Partnership, Seattle, WA USA.
C3 University of Colorado System; University of Colorado Boulder; Texas
   Tech University System; Texas Tech University; Massachusetts Institute
   of Technology (MIT); University of Colorado System; University of
   Colorado Boulder; University of Colorado System; University of Colorado
   Boulder; University of Bern
RP Clifford, KR (corresponding author), Univ Colorado, Western Water Assessment, Boulder, CO 80309 USA.
EM katie.clifford@colorado.edu
RI Dilling, Lisa/I-2889-2012
OI Henderson, Jennifer/0000-0002-6394-336X; Clifford,
   Katherine/0000-0002-1385-8765
FU Western Water Assessment [NOAA-funded Regional Integrated Sciences and
   Assessment (RISA)] [NA15OAR4310144]
FX We would like to thank the editorial team and the three anonymous
   reviewers who provided insightful feedback and productive questions that
   strengthened the manuscript. We thank all of our community champions and
   participants in rural communities across Colorado and Wyoming for
   engaging in the coproduction projects we shared here and teaching us
   along the way. Thanks to Aparna Bamzai-Dodson and Laura Nash for their
   helpful feedback on early drafts and Ami Nacu-Schmidt for graphic
   design. Support for this project was provided by the Western Water
   Assessment [a NOAA-funded Regional Integrated Sciences and Assessment
   (RISA) Grant NA15OAR4310144] .
CR Arnott JC, 2016, ENVIRON SCI POLICY, V66, P383, DOI 10.1016/j.envsci.2016.06.017
   Ashwood L, 2016, J RURAL STUD, V47, P271, DOI 10.1016/j.jrurstud.2016.06.017
   Bamzai-Dodson A, 2021, WEATHER CLIM SOC, V13, P1027, DOI 10.1175/WCAS-D-21-0046.1
   Beier P, 2017, CONSERV LETT, V10, P288, DOI 10.1111/conl.12300
   Boillat S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05894-180421
   Carolan M, 2020, RURAL SOCIOL, V85, P22, DOI 10.1111/ruso.12278
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Chambers JM, 2021, NAT SUSTAIN, V4, P983, DOI 10.1038/s41893-021-00755-x
   Clifford KR, 2020, CLIM SERV, V18, DOI 10.1016/j.cliser.2020.100155
   Colavito MM, 2019, WEATHER CLIM SOC, V11, P917, DOI 10.1175/WCAS-D-19-0009.1
   Cvitanovic C, 2019, ENVIRON SCI POLICY, V94, P20, DOI 10.1016/j.envsci.2018.12.028
   Daly M, 2019, CLIMATIC CHANGE, V157, P61, DOI 10.1007/s10584-019-02510-w
   Dilling L, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102404
   Dilling L, 2011, GLOBAL ENVIRON CHANG, V21, P680, DOI 10.1016/j.gloenvcha.2010.11.006
   Durose C., 2021, The Palgrave handbook of co -production of public services and outcomes, P669
   Ferguson DB, 2022, ENVIRON MANAGE, V69, P227, DOI 10.1007/s00267-021-01585-5
   Forsyth T., 2011, Knowing Nature: Conversations at the Intersection of Political Ecology and Science Studies, P31
   Grecni Z., 2019, LEARNING SUCCESS CLI
   Groot B, 2022, CRIT PUBLIC HEALTH, V32, P230, DOI 10.1080/09581596.2020.1770694
   Gurney GG, 2017, P NATL ACAD SCI USA, V114, P10077, DOI 10.1073/pnas.1712125114
   Harrington C, 2008, J ENVIRON POL PLAN, V10, P199, DOI 10.1080/15239080801928469
   Jagannathan K, 2020, CURR OPIN ENV SUST, V42, P22, DOI 10.1016/j.cosust.2019.11.010
   Kalafatis SE, 2015, GLOBAL ENVIRON CHANG, V32, P30, DOI 10.1016/j.gloenvcha.2015.02.007
   Kettle NP, 2014, CLIM RISK MANAG, V4-5, P17, DOI 10.1016/j.crm.2014.07.001
   King L., 2018, The Palgrave Handbook of Critical Physical Geography, P67, DOI [DOI 10.1007/978-3-319-71461-5_4, 10.1007/978-3-319-71461-5_4]
   Kirchhoff CJ, 2015, CLIM RISK MANAG, V9, P77, DOI 10.1016/j.crm.2015.05.002
   Klenk N, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.475
   Lemos MC, 2018, NAT SUSTAIN, V1, P722, DOI 10.1038/s41893-018-0191-0
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Maclean K, 2022, SUSTAIN SCI, V17, P333, DOI 10.1007/s11625-021-00973-4
   McAlear Z. L., 2020, BUILDING COMMUNITY R
   McNie EC, 2007, ENVIRON SCI POLICY, V10, P17, DOI 10.1016/j.envsci.2006.10.004
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Morss RE, 2011, ANNU REV ENV RESOUR, V36, P1, DOI 10.1146/annurev-environ-060809-100145
   Moser SusanneC., 2011, Journal for Environmental Studies and Sciences, V1, P63, DOI [10.1007/s13412-011-0012-5, DOI 10.1007/S13412-011-0012-5]
   Naess LO, 2013, WIRES CLIM CHANGE, V4, P99, DOI 10.1002/wcc.204
   Nalau J, 2015, ENVIRON SCI POLICY, V48, P89, DOI 10.1016/j.envsci.2014.12.011
   Orr K, 2009, QUAL RES ORGAN MANAG, V4, P85, DOI 10.1108/17465640910951462
   Owen G, 2020, GLOBAL ENVIRON CHANG, V62, DOI 10.1016/j.gloenvcha.2020.102071
   Owen G, 2019, CLIMATIC CHANGE, V157, P151, DOI 10.1007/s10584-019-02466-x
   Phillips L, 2021, QUAL HEALTH RES, V31, P1290, DOI 10.1177/10497323211003863
   Plank C, 2021, ENVIRON POLICY GOV, V31, P387, DOI 10.1002/eet.1938
   Tuler SP, 2020, ENVIRON SCI POLICY, V114, P275, DOI 10.1016/j.envsci.2020.09.003
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   Wall TU, 2017, FRONT ECOL ENVIRON, V15, P551, DOI 10.1002/fee.1735
   Webler T, 2016, LOCAL ENVIRON, V21, P166, DOI 10.1080/13549839.2014.930425
   Wilmer H, 2021, ENVIRON MANAGE, V68, P453, DOI 10.1007/s00267-021-01508-4
NR 47
TC 1
Z9 1
U1 0
U2 3
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 0003-0007
EI 1520-0477
J9 B AM METEOROL SOC
JI Bull. Amer. Meteorol. Soc.
PD APR
PY 2023
VL 104
IS 4
BP E872
EP E883
DI 10.1175/BAMS-D-21-0292.1
PG 12
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA G9SR0
UT WOS:000992472600001
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Shen, JC
   Copertaro, B
   Zhang, XX
   Koke, J
   Kaufmann, P
   Krause, S
AF Shen, Jingchun
   Copertaro, Benedetta
   Zhang, Xingxing
   Koke, Johannes
   Kaufmann, Peter
   Krause, Stefan
TI Exploring the Potential of Climate-Adaptive Container Building Design
   under Future Climates Scenarios in Three Different Climate Zones
SO SUSTAINABILITY
LA English
DT Article
DE upcycling container house; future climate scenario; energy-efficient
   operated living module; empty containers repositioning
ID PCM; CONTEXT
AB The deployment of containers as building modules has grown in popularity over the past years due to their inherent strength, modular construction, and relatively low cost. The upcycled container architecture is being accepted since it is more eco-friendly than using the traditional building materials with intensive carbon footprint. Moreover, owing to the unquestionable urgency of climate change, existing climate-adaptive design strategies may no longer respond effectively as they are supposed to work in the previous passive design. Therefore, this paper explores the conceptual design for an upcycled shipping container building, which is designed as a carbon-smart modular living solution to a single family house under three design scenarios, related to cold, temperate, and hot-humid climatic zones, respectively. The extra feature of future climate adaption has been added by assessing the projected future climate data with the ASHRAE Standard 55 and Current Handbook of Fundamentals Comfort Model. Compared with the conventional design, Rome would gradually face more failures in conventional climate-adaptive design measures in the coming 60 years, as the growing trends in both cooling and dehumidification demand. Consequently, the appropriate utilization of internal heat gains are proposed to be the most promising measure, followed by the measure of windows sun shading and passive solar direct gain by using low mass, in the upcoming future in Rome. Future climate projection further shows different results in Berlin and Stockholm, where the special attention is around the occasional overheating risk towards the design goal of future thermal comfort.
C1 [Shen, Jingchun; Copertaro, Benedetta; Zhang, Xingxing] Dalarna Univ, Dept Energy & Built Environm, S-79188 Falun, Sweden.
   [Koke, Johannes] Hsch Osnabruck, Inst Duale Studiengange, D-49809 Lingen, Germany.
   [Kaufmann, Peter; Krause, Stefan] Inst Strukturleichtbau & Energieeffizienz gGmbH, D-09113 Chemnitz, Germany.
C3 Dalarna University
RP Zhang, XX (corresponding author), Dalarna Univ, Dept Energy & Built Environm, S-79188 Falun, Sweden.
EM jih@du.se; bcp@du.se; xza@du.se; J.Koke@hs-osnabrueck.de;
   p.kaufmann@institut-se.de; s.krause@institut-se.de
RI Krause, Stefan/C-4351-2008; Zhang, Xingxing/D-1021-2018
OI SHEN, Jingchun/0000-0003-0239-9214; Zhang, Xingxing/0000-0002-2369-0169
FU European and Dalarna Regional Development Fund through the project
   'Energiinnovation' in Sweden; Sweden: 'Product and process development
   for the preparing and realization of complete buildings of various types
   of use using energy-efficient, partially energy independent lightweight
   construction solutions, ENSECO'; Germany: 'Product and process
   development for the preparing and realization of complete buildings of
   various types of use using energy-efficient, partially energy
   independent lightweight construction solutions, ENSECO'
FX The authors would like to acknowledge the financial support from the
   joint project of Sweden and Germany: 'Product and process development
   for the preparing and realization of complete buildings of various types
   of use using energy-efficient, partially energy independent lightweight
   construction solutions, ENSECO'. The authors would also like to thank
   the financial support from European and Dalarna Regional Development
   Fund through the project 'Energiinnovation' in Sweden.
CR Aktan I., 2017, REUSING SHIPPING CON
   [Anonymous], 2011, 552010 ANSIASHRAE
   [Anonymous], ASHRAE FUND 2017
   Broome B., 2005, ARCHIT REC, P109
   Container Container, 2019, SHIPP CONT DIM
   Copertaro B, 2016, APPL THERM ENG, V102, P873, DOI 10.1016/j.applthermaleng.2016.04.050
   Dara C, 2019, BUILD ENVIRON, V163, DOI 10.1016/j.buildenv.2019.106332
   European insulation Manufacturers Association, 2007, U VAL BETT EN PERF B
   Eurostat, Eurostat data
   Fioretti R, 2016, ENERG CONVERS MANAGE, V122, P131, DOI 10.1016/j.enconman.2016.05.071
   Gharehgozli H.A., 2012, THESIS
   Giriunas K, 2012, ENG STRUCT, V43, P48, DOI 10.1016/j.engstruct.2012.05.001
   Hands On Chengdu Charity, 2009, WORLD ARCHIT REV, V24, P84
   Hong Y, 2017, FRONT ARCHIT RES, V6, P374, DOI 10.1016/j.foar.2017.04.005
   International Maritime Organization, 1996, INT CONV SAF CONT
   International Organization for Standardization, 1990, 104 ISOTC
   International Organization for Standardization, 1997, 104 ISOTC
   International Organization for Standardization, 1972, 104 ISOTC
   International Organization for Standardization, 2018, 69462018 ISO
   International Organization for Standardization, 1999, 104 ISOTC
   International Organization for Standardization, 1995, 104 ISOTC
   International Organization for Standardization (ISO), 2007, 104562007 ISO
   Islam H, 2016, ENERG BUILDINGS, V128, P673, DOI 10.1016/j.enbuild.2016.07.002
   Kaituo L., 2014, THESIS
   Kotnil J., 2013, NEW CONTAINER ARCHIT
   Kuzmicz KA, 2019, OMEGA-INT J MANAGE S, V85, P194, DOI 10.1016/j.omega.2018.06.004
   Modular Building Institute, 2017, US SAF US COMPL MOD
   National Centers for Environmental Information, DAT ACC
   Olivares P., 2010, THESIS, P215
   Pasupathy A, 2008, RENEW SUST ENERG REV, V12, P39, DOI 10.1016/j.rser.2006.05.010
   PEIPPO K, 1991, ENERG BUILDINGS, V17, P259, DOI 10.1016/0378-7788(91)90009-R
   PVGIS Group European Commission Joint Research Centre, 2017, PHOT GEOGR INF SYST
   Ruting Z., 2017, THESIS
   Sharma S., 2015, MAERSK LINE WHAT HAP
   Shen J, 2020, J BUILD ENG, V27, DOI 10.1016/j.jobe.2019.100972
   Tukiainen M., GAISMA SUNRISE SUNSE
   University of Southampton, 2017, CCWORLDWEATHERGEN 1
   Weinan W., 2011, THESIS
   Zou D., 2018, CONTAINER BUILDING D
NR 39
TC 19
Z9 21
U1 2
U2 42
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN
PY 2020
VL 12
IS 1
AR 108
DI 10.3390/su12010108
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 KX5YC
UT WOS:000521955600108
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Lezak, S
   Rock, G
AF Lezak, Stephen
   Rock, Genevieve
TI On Micropolitics: Climate adaptation and Indigenous governance in
   Western Alaska
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate adaptation; Vulnerability; Governance; Indigenous; Climate
   change; Justice; Alaska
ID SHISHMAREF; RELOCATION; HISTORY
AB Climate adaptation for Indigenous communities is not as simple as making good policy; it is equally about how policy is implemented and how collaboration unfolds between settler governments and Indigenous stakeholders. Rural Alaska Native villages are among the most environmentally threatened communities in the United States. Their ability to effectively manage environmental change and preserve sovereignty depends upon successful collaboration with a range of stakeholders, especially federal agencies. For more than two decades, academics and government agencies have documented a consistent pattern of failures, particularly by federal actors, to effectively manage adaptation challenges. These obstacles are sometimes misrepresented as policy failures. While poor policy is certainly involved in these poor outcomes, this paper highlights a set of barriers to successful collaboration that are not policy issues, per se, but rather micropolitical issues; that is, they pertain to the conduct of government in the context of Tribal relationships. Unaddressed, these micropolitical issues have created obstacles to Alaska Native communities' self-determination as they adapt to a changing landscape. These barriers are explored in a case study drawn from Typhoon Merbok, which struck Western Alaska in 2022, and empirically grounded in a series of interviews and participant observation with experts, elders, elected officials, and Tribal staff. This article concludes with several concrete recommendations to improve the practice of domestic diplomacy between Indigenous communities and colonial governments.
C1 [Lezak, Stephen] Univ Cambridge, Scott Polar Res Inst, Lensfield Rd, Cambridge CB2 1ER, England.
   [Lezak, Stephen] Univ Oxford, Sch Geog & Environm, S Parks Rd, Oxford OX1 3QY, England.
   [Rock, Genevieve] Native Village Shaktoolik, Shaktoolik, AK USA.
C3 University of Cambridge; University of Oxford
RP Lezak, S (corresponding author), Univ Cambridge, Scott Polar Res Inst, Lensfield Rd, Cambridge CB2 1ER, England.; Lezak, S (corresponding author), Univ Oxford, Sch Geog & Environm, S Parks Rd, Oxford OX1 3QY, England.
FU Gates Cambridge Trust; Native Village of Shaktoolik, Elizabeth Marino
FX We are grateful to several friends and colleagues for their
   participation, support, and review. This includes the Native Village of
   Shaktoolik, Elizabeth Marino, Julie Raymond-Yakoubian, Kevin
   Illingworth, and Richard Powell.
CR Abrams P., 1988, J HIST SOCIOL, V1, P58, DOI DOI 10.1111/J.1467-6443.1988.TB00004.X
   Agrawal A, 2005, CURR ANTHROPOL, V46, P161, DOI 10.1086/427122
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   [Anonymous], 2003, Alaska Native villages-most are affected by flooding and erosion, but few qualify for federal assistance
   [Anonymous], 2021, The Bipartisan Infrastructure Law Advances Environmental Justice
   [Anonymous], 2009, GAO-09-551)
   [Anonymous], 2020, Technical assistance and funding for Alaska native communities to respond to environmental threats
   [Anonymous], 2023, FEMA Region 10
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   Bennett MM, 2020, ANN AM ASSOC GEOGR, V111, P921, DOI 10.1080/24694452.2020.1835457
   Berardi G, 1999, ETHNOHISTORY, V46, P329
   Berger ThomasR., 1985, VILLAGE JOURNEY REPO
   Bergstrom R, 2022, J GREAT LAKES RES, V48, P1329, DOI 10.1016/j.jglr.2022.02.010
   Bradshaw K., 2019, Brigh. Young Univ. Law Rev, V2019, P655
   Bronen R, 2013, P NATL ACAD SCI USA, V110, P9320, DOI 10.1073/pnas.1210508110
   Case DavidS., 2002, ALASKA NATIVES AM LA
   Clement Viviane, 2021, Groundswell Part 2: Acting on Internal Climate Migration
   Coleman KJ, 2021, J FOREST, V119, P1, DOI 10.1093/jofore/fvaa041
   Consultation and Coordination With Indian Tribal Governments, 2020, Exec Order 13175
   Cornell S, 2003, KSG Fac Res Working Papers Ser RWP03-42, DOI [10.2139/ssrn.464980, DOI 10.2139/SSRN.464980]
   Coulthard G.S., 2014, RED SKIN WHITE MASKS
   Council on Environmental Quality, 2022, Guidance for Federal Departments and Agencies on Indigenous Knowledge
   Curley A., 2020, Handbook on the Changing Geographies of the State, P251, DOI [10.4337/9781788978057.00035, DOI 10.4337/9781788978057.00035]
   Deur D, 2018, Respect the Land-It's Like Part of Us: A Traditional Use Study of Inland Dena'ina Ties to the Chulitna River & Sixmile Lake Basins, Lake Clark National Park and Preserve
   Elk L. B., 2016, Rangelands, V38, P3
   Falzon Mark-Anthony., 2009, Multi-Sited Ethnography: Theory, Praxis and Locality in Contemporary Research, P1, DOI DOI 10.1007/S10230-009-0066-8
   Herrmann VS, 2019, ANN AM ASSOC GEOGR, V109, P857, DOI 10.1080/24694452.2018.1525272
   Hirshberg D., 2008, Journal of American Indian Education, V47, P5
   Ingold T, 2017, HAU-J ETHNOGR THEORY, V7, P21, DOI 10.14318/hau7.1.005
   Ingold T, 2014, HAU-J ETHNOGR THEORY, V4, P383, DOI 10.14318/hau4.1.021
   Jantarasami L.C., 2018, Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, VII
   Jensen K, 2022, Relocation, Managed Retreat, and Protect-in-Place Issues in Alaska Listening Session Report
   Johnson N, 2021, NOAA Arctic Report Card 2021: the impact of COVID-19 on Food Access for Alaska Natives in 2020, DOI [10.25923/5CB7-6H06, DOI 10.25923/5CB7-6H06]
   Johnson Terry., 2014, Shaktoolik, Alaska: Climate Change, Adaptation for an At-Risk Community Adaptation Plan
   Kaktovik A, In This Place: A Guide for Those Who Would Work in The Country of The Kaktovikmiut
   Kashwan P, 2021, CURR HIST, V120, P326
   Law J., 2004, AFTER METHOD
   Loewi P, 2022, The Nome Nugget
   MARCUS GE, 1995, ANNU REV ANTHROPOL, V24, P95, DOI 10.1146/annurev.an.24.100195.000523
   Marino E, 2015, FIERCE CLIMATE SACRED GROUND: AN ETHNOGRAPHY OF CLIMATE CHANGE IN SHISHMAREF, ALASKA, P1
   Marino E, 2022, HUM ORGAN, V81, P348, DOI 10.17730/1938-3525-81.4.348
   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
   Marks-Marino D., 2021, Status of Tribes and Climate Change Report
   Marter-Kenyon J, 2020, ANTHROPOCENE REV, V7, P159, DOI 10.1177/2053019620915633
   Mcleod E, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00289
   Minnes S, 2017, CAN WATER RESOUR J, V42, P163, DOI 10.1080/07011784.2016.1256232
   Pacific Coastal and Marine Science Center, 2022, USGS aids storm response to Extratropical Typhoon Merbok in Alaska
   Pennington JE., 2023, Sovereign disasters: how Alaskas Tribes participate in Government- To-Government relations in a post-disaster environment
   Raymond-Yakoubian J, 2017, MAR POLICY, V78, P132, DOI 10.1016/j.marpol.2016.12.024
   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
   Rivkin I, 2013, INT J CIRCUMPOL HEAL, V72, P409, DOI 10.3402/ijch.v72i0.20958
   Rock G, 2023, AL TRIB C ENV MAN AN
   Sakakibara C, 2008, GEOGR REV, V98, P456, DOI 10.1111/j.1931-0846.2008.tb00312.x
   Schwing E, 2023, High Country News
   Schwing E, 2023, January 9 FEMA sent 'unintelligible' disaster relief information to Alaska Native people impacted by Typhoon Merbok
   Scott James C., 1998, Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed
   Shearer C, 2012, J POLIT ECOL, V19, P174, DOI 10.2458/v19i1.21725
   Skewes MC, 2016, INT J CIRCUMPOL HEAL, V75, DOI 10.3402/ijch.v75.30476
   Ulibarri N, 2022, CLIM POLICY, V22, P77, DOI 10.1080/14693062.2021.2002251
   United States Government Accountability Office, 2020, CLIMATE CHANGE CLIMA
   US Army Corps of Engineers Alaska District, 2006, Alaska Village Erosion Technical Assistance Program
   US DOT, 2023, Notice of funding opportunity for fiscal years 2022 and 2023 promoting resilient operations for transformative, efficient, and cost-saving transportation (PROTECT) program
   US Environmental Protection Agency, 2022, Indian Environmental General Assistance Program (GAP): Guidance on Financial Assistance Agreements (No. 160B22003)
   US Government Accountability Office, 2022, Federal agencies could enhance support for native Village efforts to address environmental threats (GAO-22-104241; Alaska native issues)
   Whyte K, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.603
   Whyte KP, 2018, ENVIRON PLAN E-NAT, V1, P224, DOI 10.1177/2514848618777621
   Whyte KP, 2017, ROUTL LIT COMPAN, P206
   Wilby RL, 2012, PROG PHYS GEOG, V36, P348, DOI 10.1177/0309133312438908
NR 70
TC 0
Z9 0
U1 3
U2 3
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 2024
VL 177
IS 9
AR 135
DI 10.1007/s10584-024-03769-4
PG 20
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA D1C6C
UT WOS:001293637400002
OA hybrid
DA 2025-01-10
ER

PT J
AU Pagliarino, A
AF Pagliarino, Amanda
TI Climate Change, Climate Action and Cultural Heritage Collections in
   Australia
SO STUDIES IN CONSERVATION
LA English
DT Article
DE Climate change; collection environment; environmental guidelines;
   temperature; relative humidity
AB The Australian Institute for the Conservation of Cultural Material has published a range of resources that promote environmentally aware collection care and management practices including climate-specific Environmental Guidelines, the Sustainable Collections wiki and the Climate Adaptation resource. The Climate Adaptation resource provides access to 180 maps illustrating potential future climate scenarios for Australia in 2030 and 2090, using the two Representative Concentration Pathways RCP4.5 and RCP8.5. These maps were produced as part of research undertaken in 2019-2020 by Pagliarino and Meredith and supplement those published in volume 41 (issue 1) of the AICCM Bulletin. The release of updated climate change projections in the Sixth Assessment Report from the Intergovernmental Panel on Climate Change (IPCC) - Climate Change 2021: The Physical Science Basis - precipitated a review of the Climate Adaptation resource to confirm the continued veracity of the maps. This paper provides the results of that assessment, which confirmed the resource's ongoing accuracy and currency. In addition, the paper includes discussion of the new IPCC future climate scenarios of Shared Socioeconomic Pathways, which supersede RCP, and a summary of the state of the climate in Australia with warming, humidity, fire, weather and sea level rise investigated in more detail.
C1 [Pagliarino, Amanda] Gallery Modern Art, Queensland Art Gallery, Stanley Pl, Brisbane, Qld 4101, Australia.
RP Pagliarino, A (corresponding author), Gallery Modern Art, Queensland Art Gallery, Stanley Pl, Brisbane, Qld 4101, Australia.
EM amanda.pagliarino@qagoma.gld.gov.au
CR Abram NJ, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-020-00065-8
   ACT Gov, 2019, CLIM CHANG GREENH GA
   ACT Gov. 2021, EMISSION REDUCTION T
   AICCM, SUST COLL
   AICCM, 2019, ENV GUID
   AICCM, 2021, CLIM AD
   Australian Academy of Science, 2021, RISKS AUSTR 3C WARM
   Australian Government, 2015, AUSTR 2030 EM RED TA
   BOM, 2022, CLIMATE DATA
   CEC, 2020, W AUSTR PLANN FUT BU
   Climate Council, 2020, HOTT HOT EXTR HEAT A
   Fleming S., 2021, 7 RENEWABLE ENERGY L
   Gergis J, 2020, CLIM DYNAM, V55, P843, DOI 10.1007/s00382-020-05298-z
   Gutwein Peter, 2020, PREMIER TASMANIA CON
   Hausfather Z., 2019, CARBON BRIEF CLEAR C
   HAUSFATHER Z., 2018, CARBON BRIEF CLEAR C
   Hirsch AL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0377
   McGreevy M., 2021, CONVERSATION
   Meinshausen M., 2021, CLIMATE RESOURCE
   NSW Gov, 2020, NSW CLIM CHANG POL F
   NT Gov, 2020, NO TERR CLIM CHANG R
   Pagliarino A., 2021, CLIMATE ADAPTATION A
   Pagliarino A., 2020, AICCM BULLETIN, V41, P3, DOI [10.1080/10344233.2020.1788881, DOI 10.1080/10344233.2020.1788881]
   Perkins-Kirkpatrick SE, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16970-7
   QLD Gov. 2021, QUEENSL 2019 GREENH
   SA Gov, 2020, CLIM SMART S AUSTR
   Schwalm CR, 2020, P NATL ACAD SCI USA, V117, P19656, DOI 10.1073/pnas.2007117117
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   TAS Gov, 2021, TASM NET ZER 2030 EM
   TAS Gov, 2021, REN CLIM FUT IND TAS
   Trancoso R, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140521
   UNEP, 2021, COP26 ENDS AGR FALLS
   UNEP, 2021, Addendum to the Emissions Gap Report 2021: A preliminary assessment of the impact of new or updated nationally determined contributions, other 2030 pledges and net-zero emissions pledges announced or submitted since the cut-off dates of the Emissions Gap Report 2021
   United Nations, 2015, FCCCCP2015L9 UN
   VIC Gov, 2021, VICT GREENH GAS EM T
   VIC Gov, 2020, VICT REN EN ACT PLAN
   WA Gov, GREENHOUSE GAS EMISS
   Wikipedia, 2022, RAD FORC
   Zhao L, 2021, NAT CLIM CHANGE, V11, DOI 10.1038/s41558-020-00958-8
NR 39
TC 1
Z9 1
U1 5
U2 37
PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0039-3630
EI 2047-0584
J9 STUD CONSERV
JI Stud. Conserv.
PD AUG 10
PY 2022
VL 67
SU 1
SI SI
BP 209
EP 218
DI 10.1080/00393630.2022.2059991
EA APR 2022
PG 10
WC Archaeology; Art; Chemistry, Applied; Chemistry, Analytical;
   Spectroscopy
WE Science Citation Index Expanded (SCI-EXPANDED); Arts &amp; Humanities Citation Index (A&amp;HCI)
SC Archaeology; Art; Chemistry; Spectroscopy
GA 4E2ML
UT WOS:000782690200001
DA 2025-01-10
ER

PT J
AU Taylor, BM
   McAllister, RRJ
AF Taylor, Bruce M.
   McAllister, Ryan R. J.
TI Bringing it all together: researcher dialogue to improve synthesis in
   regional climate adaptation in South-East Queensland, Australia
SO REGIONAL ENVIRONMENTAL CHANGE
LA English
DT Article
DE Regional planning; Multi-sector; Policy integration; Research synthesis;
   Institutions; Dialogue
ID CHANGE IMPACTS; POLICY; ENERGY; PERSPECTIVES; GOVERNANCE; CITIES
AB The effectiveness of climate adaptation policies in one sector can be compromised or aided by policies developed in another sector. When the focus of adaptation is a single geographical region, this potential for interaction between sectoral policies is heightened due to spatial, political and functional proximities. This paper analyses interactions within three suites of climate adaptation options developed for Australia's 'South-East Queensland' region relating to: (1) wetland migration, coastal infrastructure and planned retreat; (2) urban water security and energy demand; and (3) terrestrial biodiversity and agricultural viability. Using the concept of 'institutional interplay' to structure a process of dialogue amongst researchers, we identify a number of critical implementation requirements for successful regional-scale adaptation. There is a need for greater focus on neighbourhood or sub-regional scales of policy design and intervention, particularly for the coordination of adapted infrastructure and services to households. Policy-makers must also be more explicit in considering broader drivers of land-use change and economic adjustment likely to impact on proposed adaptations. In considering these issues, our paper also demonstrates a process for conducting cross-sectoral syntheses that can be employed in other regional-scale adaptation studies.
C1 [Taylor, Bruce M.; McAllister, Ryan R. J.] CSIRO Ecosyst Sci, Brisbane, Qld 4001, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO)
RP Taylor, BM (corresponding author), CSIRO Ecosyst Sci, POB 2583, Brisbane, Qld 4001, Australia.
EM bruce.taylor@csiro.au
RI Taylor, Bruce/C-5771-2011; Mcallister, Ryan/A-4866-2008
OI Mcallister, Ryan/0000-0003-0080-7528; Taylor, Bruce/0000-0002-7740-2898
CR Agrawal A, 2012, GLOBAL ENVIRON CHANG, V22, P329, DOI 10.1016/j.gloenvcha.2012.02.003
   [Anonymous], 2008, ROLE LOCAL I ADAPTAT
   [Anonymous], 1990, INTEGRATED WATER MAN
   [Anonymous], 1999, 9 IHDP
   [Anonymous], 1989, PLANNING FACE POWER
   [Anonymous], 2011, Risk Assessment of Climate Adaptation Strategies for Extreme Wind Events in Queensland
   [Anonymous], 2002, The Institutional Dimensions of Environmental Change, DOI DOI 10.7551/MITPRESS/3807.001.0001
   [Anonymous], 2003, DELIBERATIVE POLICY
   Bai XM, 2010, CURR OPIN ENV SUST, V2, P129, DOI 10.1016/j.cosust.2010.05.008
   Begbie DK, 2011, SCI FORUM STAKEHOLDE
   Biswas AK, 2010, INT J WATER RESOUR D, V26, P129, DOI 10.1080/07900627.2010.488853
   Bohensky EL, 2014, REG ENVIRON CHANGE, V14, P475, DOI 10.1007/s10113-013-0438-2
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Derkzen P, 2009, J ENVIRON POL PLAN, V11, P143, DOI 10.1080/15239080902920126
   Fischer F., 2003, Reframing Public Policy: Discursive Politics and Deliberative Practices
   Gunningham Neil., 1997, LAW POLICY, V19, P363, DOI DOI 10.1111/1467-9930.T01-1-00033
   Hanger S, 2013, REG ENVIRON CHANGE, V13, P91, DOI 10.1007/s10113-012-0317-2
   Harman B, 2011, J ENVIRON PLANN MAN, V54, P617, DOI 10.1080/09640568.2010.526405
   Hill MJ, 2013, REG ENVIRON CHANGE, V13, P311, DOI 10.1007/s10113-012-0339-9
   Holman IP, 2005, CLIMATIC CHANGE, V71, P43, DOI 10.1007/s10584-005-5956-6
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Keys N, 2014, REG ENVIRON CHANGE, V14, P501, DOI 10.1007/s10113-012-0394-2
   Kirshen P, 2008, CLIMATIC CHANGE, V86, P105, DOI 10.1007/s10584-007-9252-5
   Lane M, 2009, CONTESTED COUNTRY: LOCAL AND REGIONAL NATURAL RESOURCES MANAGEMENT IN AUSTRALIA, P1
   Leitch Anne., 2010, Adaptation to climate change: Law and Policy
   Lovell H, 2009, ENVIRON PLANN C, V27, P90, DOI 10.1068/c0797j
   Low N, 2008, URBAN POLICY RES, V26, P141, DOI 10.1080/08111140802054299
   Mather A, 2011, LOCAL SUSTAIN, V1, P543, DOI 10.1007/978-94-007-0785-6_53
   McAllister RRJ, 2014, REG ENVIRON CHANGE, V14, P527, DOI 10.1007/s10113-013-0489-4
   Moffet V, 2011, LOCAL SUSTAIN, V1, P213, DOI 10.1007/978-94-007-0785-6_22
   Morrison TH, 2007, SPACE POLITY, V11, P227, DOI 10.1080/13562570701811551
   Owens S., 1999, Journal of Environmental Policy & Planning, V24, P7, DOI DOI 10.1080/714852804
   Ozowa C.P., 2005, ADAPTIVE GOVERNANCE, P185
   Quezada G, 2014, REG ENVIRON CHANGE, V14, P463, DOI 10.1007/s10113-013-0480-0
   Rambaldi AN, 2013, URBAN STUD, V50, P1889, DOI 10.1177/0042098012465904
   Reyer C, 2012, REG ENVIRON CHANGE, V12, P523, DOI 10.1007/s10113-011-0269-y
   Roiko A, 2013, REG ENV CHANG UNPUB
   Rydin Y., 2003, CONFLICT CONSENSUS R
   Schmidt A, 2014, REG ENVIRON CHANGE, V14, P2105, DOI 10.1007/s10113-012-0338-x
   Scholz J.T., 2005, Resources for the Future
   Seo S, 2013, BUILD ENVIRON, V59, P408, DOI 10.1016/j.buildenv.2012.09.006
   Serrao-Neumann S, 2014, REG ENVIRON CHANGE, V14, P489, DOI 10.1007/s10113-013-0442-6
   Shoo LP, 2014, REG ENVIRON CHANGE, V14, P435, DOI 10.1007/s10113-012-0385-3
   Shoo LP, 2013, RESTOR ECOL, V21, P481, DOI 10.1111/j.1526-100X.2012.00916.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
   Traill LW, 2011, DIVERS DISTRIB, V17, P1225, DOI 10.1111/j.1472-4642.2011.00807.x
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   van Buuren A, 2014, REG ENVIRON CHANGE, V14, P1021, DOI 10.1007/s10113-013-0448-0
   Wang X, 2010, COASTAL INUNDATION C
NR 50
TC 6
Z9 7
U1 0
U2 30
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 APR
PY 2014
VL 14
IS 2
SI SI
BP 513
EP 526
DI 10.1007/s10113-013-0517-4
PG 14
WC Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA AD5BY
UT WOS:000333267700008
OA hybrid
DA 2025-01-10
ER

PT C
AU Alabsi, AAN
   De, XS
   HunterGarfield, W
AF Alabsi, Akram Ahmed Noman
   De XuanSong
   HunterGarfield, Wayne
BE Wong, NH
   Jusuf, SK
TI Sustainable Adaptation Climate of Traditional Buildings Technologies in
   the Hot Dry Regions
SO FOURTH INTERNATIONAL CONFERENCE ON COUNTERMEASURES TO URBAN HEAT ISLAND,
   (UHI 2016)
SE Procedia Engineering
LA English
DT Proceedings Paper
CT 4th International Conference on Countermeasures to Urban Heat Island
   (UHI)
CY MAY 30-JUN 01, 2016
CL Singapore, SINGAPORE
SP Natl Univ Singapore, Dept Bldg
DE Sustainability; adaptation climate; traditional architecture; compact
   urban fabric; hot dry regions
AB Traditional architecture has been successful in achieving harmony between housing and the environment, which is one of the most important conditions for sustainability. The research tried to study and analyze the traditional architecture to diagnose its importance and ability to solve contemporary problems. In order to achieve this aim, we conduct an empirical study of five regions of the hot dry climate, focusing on the urban fabric and dwelling projects. Analytic studies were performed using computer simulations by Ecotect software. The research concludes the effective indicators in the traditional urban fabric and employed it in many of housing clusters in hot dry regions. (C) 2016 The Authors. Published by Elvsevier Ltd.
C1 [Alabsi, Akram Ahmed Noman; De XuanSong; HunterGarfield, Wayne] Tongji Univ, 1239 Siping Rd, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Alabsi, AAN (corresponding author), Tongji Univ, 1239 Siping Rd, Shanghai 200092, Peoples R China.
EM alabsiakram@tongji.edu.cn
RI Alabsi, Akram/N-7806-2019
OI Alabsi, Akram ahmed Noman/0000-0002-3267-2608; Hunter, Garfield
   Wayne/0000-0001-5181-925X
CR Al-homoud M, 2000, ANAL PHYS SOCIAL PAT, V1, P127
   Fathi H, 1988, NATURAL ENERGIES TRA
   Golan G, 1983, DESIGN ARID REGIONS, V1, P121
   Mofidi S. M, 2007, 2 PALENC C 28 AIVC C, V2, P647
   Shaheen B, 2009, J FACULTY ENG BAGHDA, V1, P584
   Steemer K, 2003, ENV SCI, V1, P39
NR 6
TC 3
Z9 3
U1 0
U2 10
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1877-7058
J9 PROCEDIA ENGINEER
PY 2016
VL 169
BP 150
EP 157
DI 10.1016/j.proeng.2016.10.018
PG 8
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Engineering
GA BG7QB
UT WOS:000391608100018
OA gold
DA 2025-01-10
ER

PT J
AU Li, JW
   Zhang, CZ
   Huang, QZ
   Ding, MY
   He, YX
   Liu, ML
   Yang, CC
AF Li, Jiawen
   Zhang, Changzheng
   Huang, Qiaozhi
   Ding, Mengyao
   He, Yuxin
   Liu, Mulan
   Yang, Chuchu
TI Water Infrastructure Impacts of Agricultural Industry in China Under
   Extreme Weather: A System Dynamics Model of a Multi-Level, Climate
   Resilience Perspective
SO SYSTEMS
LA English
DT Article
DE extreme weather; water infrastructure; agricultural industry;
   resilience; system dynamics scenario analysis
ID RURAL-AREAS
AB China is the world's largest agricultural country and is also deeply affected by extreme weather. Water infrastructure is a crucial solution to improve the climate adaptability of the agricultural industry. This study aimed to explore the above adaptive processes of the agricultural industry from a resilience perspective. This study builds a multi-level system dynamics (SD) model to assess the development of the agricultural industry and water infrastructure, predict the future resilience development trend, identify the key influencing factors, and simulate the effectiveness of different water infrastructure measures. The results show that (1) water infrastructure involving various climate adaptation measures significantly promotes the development of the agricultural industry. (2) Agricultural output, water infrastructure investment, and other fixed asset investments strongly improve the resilience, and the impact of the crop planting area is limited. (3) The resilience level is higher under the eco-friendly water conservation scenario than in the water supply security scenario and flood disaster prevention scenario. Such information will promote the sustainable development of the agricultural industry and future climate adaptation policy-making.
C1 [Li, Jiawen; Zhang, Changzheng; Huang, Qiaozhi; Ding, Mengyao; He, Yuxin; Yang, Chuchu] Hohai Univ, Business Sch, Nanjing 211100, Peoples R China.
   [Li, Jiawen; Zhang, Changzheng; Huang, Qiaozhi; Ding, Mengyao; He, Yuxin] Hohai Univ, Ind Econ Inst, Nanjing 211100, Peoples R China.
   [Zhang, Changzheng] Hohai Univ, World Water Valley & Water Ecol Civilizat Collabor, Nanjing 211100, Peoples R China.
   [Liu, Mulan] Liaoning Univ, Business Sch, Shenyang 110036, Peoples R China.
RP Li, JW (corresponding author), Hohai Univ, Business Sch, Nanjing 211100, Peoples R China.; Li, JW (corresponding author), Hohai Univ, Ind Econ Inst, Nanjing 211100, Peoples R China.
EM 210413120005@hhu.edu.cn; zcz@hhu.edu.cn; georgeyellow@foxmail.com;
   220213120008@hhu.edu.cn; hyx2000hhu@163.com; 4751933998@163.com;
   18758791786@163.com
FU Industrial Economics Institute of Business School of Hohai University
   and the "World Water Valley" and Water Ecological Civilization
   Collaborative Innovation Center of Jiangsu Province; Industrial
   Economics Institute of Business School of Hohai University [22YJA630117,
   KYCX23_0653]; Water Ecological Civilization Collaborative Innovation
   Center of Jiangsu Province
FX The authors are thankful to the the Industrial Economics Institute of
   Business School of Hohai University and the "World Water Valley" and
   Water Ecological Civilization Collaborative Innovation Center of Jiangsu
   Province. This research was funded by [Changzheng Zhang] grant number
   [22YJA630117] and [Jiawen Li] grant number [KYCX23_0653]. And the APC
   also funded by the above funds.
CR Arouri M, 2015, WORLD DEV, V70, P59, DOI 10.1016/j.worlddev.2014.12.017
   Birkenholtz T, 2016, GEOFORUM, V69, P94, DOI 10.1016/j.geoforum.2015.12.014
   Birthal PS, 2019, AGR SYST, V173, P345, DOI 10.1016/j.agsy.2019.03.005
   Bozza A, 2015, NAT HAZARDS, V78, P1729, DOI 10.1007/s11069-015-1798-3
   Campbell L, 2023, PROG HUM GEOG, V47, P753, DOI 10.1177/03091325231195984
   Carrieri F, 2004, MANAGE SCI, V50, P207, DOI 10.1287/mnsc.1030.0184
   [陈志端 Chen Zhiduan], 2021, [城市发展研究, Urban Studies], V28, P1
   Chester MV, 2019, J IND ECOL, V23, P1006, DOI 10.1111/jiec.12848
   China Meteorological Administration, China Climate Bulletin by China Meteorological Administration
   Dardonville M, 2021, J CLEAN PROD, V286, DOI 10.1016/j.jclepro.2020.125456
   Fekete A, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1370
   Feofilovs M, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102328
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gohar AA, 2015, J HYDROL, V520, P85, DOI 10.1016/j.jhydrol.2014.11.036
   Grillitsch M, 2019, EUR PLAN STUD, V27, P2163, DOI 10.1080/09654313.2019.1648385
   Higgins D, 2021, AGR WATER MANAGE, V243, DOI 10.1016/j.agwat.2020.106437
   Holland J. H., 2006, Journal of Systems Science and Complexity, V19, P1, DOI 10.1007/s11424-006-0001-z
   Huang HR, 2021, J CLEAN PROD, V309, DOI 10.1016/j.jclepro.2021.127455
   Jiang GH, 2017, J CLEAN PROD, V159, P207, DOI 10.1016/j.jclepro.2017.04.152
   Khan SU, 2021, SCI TOTAL ENVIRON, V783, DOI 10.1016/j.scitotenv.2021.146959
   Kong F, 2021, WATER-SUI, V13, DOI 10.3390/w13131762
   Li F, 2017, J CLEAN PROD, V163, pS1, DOI 10.1016/j.jclepro.2016.11.151
   Li SA, 2023, ENVIRON IMPACT ASSES, V99, DOI 10.1016/j.eiar.2022.107019
   Li YT, 2023, AGR ECOSYST ENVIRON, V352, DOI 10.1016/j.agee.2023.108504
   Li YH, 2023, CHINA AGR ECON REV, V15, P66, DOI 10.1108/CAER-03-2022-0048
   Li YH, 2019, J RURAL STUD, V68, P135, DOI 10.1016/j.jrurstud.2019.03.003
   [马历 Ma Li], 2020, [经济地理, Economic Geography], V40, P1
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   Matthews JC, 2016, J STRUCT ENG, V142, DOI 10.1061/(ASCE)ST.1943-541X.0001341
   McGregor GR, 2005, EXTREME WEATHER EVENTS AND PUBLIC HEALTH RESPONSES, P13, DOI 10.1007/3-540-28862-7_2
   Nguyen MT, 2019, ECOL SOC, V24, DOI 10.5751/ES-11186-240419
   Ning X, 2013, FRONT ENV SCI ENG, V7, P658, DOI 10.1007/s11783-013-0546-8
   Ntounis N, 2022, CURR ISSUES TOUR, V25, P46, DOI 10.1080/13683500.2021.1883556
   O'Regan SM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.711085
   Peterson CA, 2018, AGR SYST, V162, P19, DOI 10.1016/j.agsy.2018.01.011
   Qudrat-Ullah H, 2010, ENERG POLICY, V38, P2216, DOI 10.1016/j.enpol.2009.12.009
   Rana IA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101839
   Rich KM, 2018, AGR SYST, V160, P110, DOI 10.1016/j.agsy.2016.09.022
   Ridha T, 2022, INT J DISAST RISK RE, V73, DOI 10.1016/j.ijdrr.2022.102883
   Shi J, 2020, ENVIRON RES, V185, DOI 10.1016/j.envres.2020.109406
   [孙阳 Sun Yang], 2017, [中国人口·资源与环境, China Population Resources and Environment], V27, P151
   Tao TM, 2023, SCI TOTAL ENVIRON, V881, DOI 10.1016/j.scitotenv.2023.163411
   Thieken AH, 2007, HYDROLOG SCI J, V52, P1016, DOI 10.1623/hysj.52.5.1016
   Wang J, 2020, J DESTIN MARK MANAGE, V15, DOI 10.1016/j.jdmm.2019.100383
   Wang JY, 2023, HABITAT INT, V137, DOI 10.1016/j.habitatint.2023.102833
   Wang MY, 2021, J ENVIRON MANAGE, V297, DOI 10.1016/j.jenvman.2021.113282
   Wang R, 2021, J DESTIN MARK MANAGE, V20, DOI 10.1016/j.jdmm.2021.100612
   Wang Y., 2011, J. Tsinghua Univ. (Philos. Soc. Sci.), V26, P99
   Wang ZX, 2021, REG STUD, V55, P1228, DOI 10.1080/00343404.2021.1872779
   World Economic Forum, Global Risk Report by World Economic Forum
   Xu WP, 2021, WATER-SUI, V13, DOI 10.3390/w13121619
   Yang HH, 2021, J CLEAN PROD, V320, DOI 10.1016/j.jclepro.2021.128811
   Yang M, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912294
   Yao RK, 2024, AGRICULTURE-BASEL, V14, DOI 10.3390/agriculture14030337
   Zang YZ, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104531
   Zhang C., 2022, Resour. Sci, V44, P169, DOI [10.18402/resci.2022.01.13, DOI 10.18402/RESCI.2022.01.13]
   Zhang H, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13071436
   Zhang HR, 2022, J CLEAN PROD, V341, DOI 10.1016/j.jclepro.2022.130818
   Zhang J, 2021, NAT HAZARDS, V107, P447, DOI 10.1007/s11069-021-04590-3
   Zhang YZ, 2017, J CLEAN PROD, V168, P1262, DOI 10.1016/j.jclepro.2017.09.102
   Zheng YX, 2022, LAND-BASEL, V11, DOI 10.3390/land11081334
   Zhou J, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13091813
   Zhu CM, 2021, ECOL INDIC, V127, DOI 10.1016/j.ecolind.2021.107733
   Zhu JM, 2013, J ENVIRON MANAGE, V122, P65, DOI 10.1016/j.jenvman.2013.02.052
NR 64
TC 0
Z9 0
U1 0
U2 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2079-8954
J9 SYSTEMS-BASEL
JI Systems-Basel
PD DEC
PY 2024
VL 12
IS 12
AR 562
DI 10.3390/systems12120562
PG 21
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA Q8F2D
UT WOS:001386959300001
OA gold
DA 2025-01-10
ER

PT J
AU Lawlor, P
AF Lawlor, Paul
TI The role of the community and voluntary sector in identifying
   vulnerabilities to climate change in coastal areas and implementing
   climate adaptation responses
SO ADMINISTRATION
LA English
DT Article
DE Mainstreaming climate adaptation; community and voluntary sector;
   coastal areas
ID ZONE
AB The National Adaptation Framework aims to reduce Ireland's vulnerability to climate change by establishing climate adaptation considerations as a priority at local, regional and national level. With coastal areas and habitats particularly susceptible to negative climate change effects, it is necessary to build resilience in these areas by devising coastal adaptation responses in collaboration with coastal communities. Policies and structures have also been put in place to create an enabling environment which facilitates community participation. However, the extent of community engagement and its current role in formulating and implementing coastal adaptation responses are unclear. This paper assesses the effectiveness of the enabling environment in encouraging community-led coastal adaptation solutions by identifying community and voluntary groups who are actively engaging with stakeholders at all levels of governance in key adaptation tasks. The findings reveal that the policies and structures for enhanced local participation in coastal adaptation responses are in place, but as only a small number of communities are actively engaging in coastal adaptation solutions, further progress in their implementation is needed.
C1 [Lawlor, Paul] Technol Univ Dublin, Sch Transport Engn Environm & Planning, Dublin, Ireland.
RP Lawlor, P (corresponding author), Technol Univ Dublin, Sch Transport Engn Environm & Planning, Dublin, Ireland.
CR Adger WN, 2005, ECOL SOC, V10
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Central Statistics Office, 2016, CENS POP 2016 PROF 2
   Coastwatch, 2020, COASTW AUT 2019 SURV
   Cooper JAG, 2014, OCEAN COAST MANAGE, V94, P90, DOI 10.1016/j.ocecoaman.2013.09.006
   Cooper JAG, 2009, J COASTAL RES, V25, P533, DOI 10.2112/09A-0001.1
   Cronin A., 2017, LOCAL AUTHORITY COAS
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Daniell KA, 2020, MAR POLICY, V112, DOI 10.1016/j.marpol.2019.103704
   Department of Communications Climate Action and Environment, 2019, CLIM ACT PLAN TACKL
   Department of Communications Climate Action and Environment, 2018, LOC AUTH AD STRAT DE
   Department of Communications Climate Action and Environment, 2018, NAT AD FRAM PLANN CL
   Department of Housing Planning and Local Government, 2018, NAT PLANN FRAM
   Department of Rural and Community Development, 2019, SUST INCL EMP COMM 5
   Department of the Taoiseach, 2019, NAT RISK ASS 2019 OV
   Devoy RJN, 2008, J COASTAL RES, V24, P325, DOI 10.2112/07A-0007.1
   Duxbury J, 2007, ECOL ECON, V63, P319, DOI 10.1016/j.ecolecon.2007.01.016
   Environmental Protection Agency, 2013, CLIM CHANG RES PROGR, V28
   European Commission, 2013, 32013 EEA EUR COMM
   European Environment Agency, 2015, WHAT IS GREEN INFR W
   Falaleeva M, 2011, MAR POLICY, V35, P784, DOI 10.1016/j.marpol.2011.01.005
   Flannery W, 2015, LAND USE POLICY, V43, P161, DOI 10.1016/j.landusepol.2014.11.001
   Fritz M, 2017, THEOR PRACT URB SUST, P1, DOI 10.1007/978-3-319-56091-5_1
   Gibbs MT, 2015, OCEAN COAST MANAGE, V103, P9, DOI 10.1016/j.ocecoaman.2014.10.018
   Government of Ireland, 2019, BIOD CLIM CHANG SECT
   Government of Ireland, 2019, BUILT ARCH HER CLIM
   Harley CDG, 2006, ECOL LETT, V9, P228, DOI 10.1111/j.1461-0248.2005.00871.x
   Kelly R., 2019, DELIVERING BENEFITS
   McKenna John, 2009, Journal of Coastal Conservation, V13, P165, DOI 10.1007/s11852-008-0040-9
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   O'Hagan AM, 2002, J COASTAL RES, P544
   O'Hagan AM, 2010, OCEAN COAST MANAGE, V53, P750, DOI 10.1016/j.ocecoaman.2010.10.014
   Olsson P, 2007, ECOL SOC, V12
NR 33
TC 0
Z9 0
U1 0
U2 7
PU SCIENDO
PI WARSAW
PA BOGUMILA ZUGA 32A, WARSAW, MAZOVIA, POLAND
SN 0001-8325
EI 2449-9471
J9 ADMINSTRATION
JI Administration
PD DEC 1
PY 2021
VL 69
IS 4
BP 83
EP 108
DI 10.2478/admin-2021-0029
PG 26
WC Public Administration
WE Emerging Sources Citation Index (ESCI)
SC Public Administration
GA XY3NZ
UT WOS:000736884800005
OA gold
DA 2025-01-10
ER

PT J
AU Mungai, LM
   Messina, JP
   Zulu, LC
   Chikowo, R
   Snapp, SS
AF Mungai, Leah M.
   Messina, Joseph P.
   Zulu, Leo C.
   Chikowo, Regis
   Snapp, Sieglinde S.
TI The role of agricultural extension services in promoting agricultural
   sustainability: a Central Malawi case study
SO COGENT FOOD & AGRICULTURE
LA English
DT Article
DE Agriculture; extension; advisory; delivery; Malawi; Africa
ID SCALING-UP; TECHNOLOGIES; INSTITUTIONS; INNOVATION; FARMER
AB This study examines the experiences of personnel in the agricultural extension system, aiming to understand the multifaceted nature, challenges, and opportunities of extension service delivery from their perspective. Using a snowball sampling approach, we conducted semi-structured interviews with 19 purposively selected extension staff from four Extension Planning Areas (EPAs) sites in central Malawi. Thematic analysis was utilized to identify key themes, including agricultural practices, land and water management, and livestock production, as well as extension training approaches and information sources. Findings revealed a diverse extension service provided by various actors, including government agencies, non-government organizations, farmer groups, and the private sector. All participants mentioned using the Guide to Agricultural Production booklet, the official manual for agricultural information, along with printed leaflets (79%) containing specific technologies from crop specialists. Advisory topics covered were crop and soil management, land, and climate-smart practices, primarily disseminated through the lead farmer system (84%) and farmer field schools (47%). Additionally, recent mobile technologies such as WhatsApp and traditional radio, which offer the widest geographic coverage, were identified by some participants as key channels for information communication. This study identified potential new areas for enhancing extension services. These include: (a) fostering multidirectional engagement through partnerships among public, private, and non-governmental extension services, alongside farmer-group participation platforms (b) expanding the scope of extension advisory service and training to address urgent issues such as climate change adaptation and value addition, and (c) integrating mobile phone and media innovations to address the low extensionist-farmer ratio problem and bridge information and service gaps.
C1 [Mungai, Leah M.; Messina, Joseph P.] Univ Alabama, Dept Geog & Environm, Tuscaloosa, AL 35487 USA.
   [Zulu, Leo C.] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI USA.
   [Chikowo, Regis; Snapp, Sieglinde S.] Michigan State Univ, Dept Plant Soil & Microbial Sci, E Lansing, MI USA.
   [Chikowo, Regis] Univ Zimbabwe, Dept Plant Prod Sci & Technol, Harare, Zimbabwe.
   [Snapp, Sieglinde S.] Int Maize & Wheat Improvement Ctr CIMMYT, Sustainable Agrifood Syst Program SAS, Texcoco, Mexico.
C3 University of Alabama System; University of Alabama Tuscaloosa; Michigan
   State University; Michigan State University; University of Zimbabwe;
   CGIAR; International Maize & Wheat Improvement Center (CIMMYT)
RP Mungai, LM (corresponding author), Univ Alabama, Dept Geog & Environm, Tuscaloosa, AL 35487 USA.
EM lmmungai@ua.edu
FU American People through the Feed the Future Innovation Lab for
   Sustainable Intensification through the United States Agency for
   International Development (USAID) [AID-OAA-L-14-00006]
FX This study was funded by The American People through the Feed the Future
   Innovation Lab for Sustainable Intensification through the United States
   Agency for International Development (USAID) under Cooperative Agreement
   No. AID-OAA-L-14-00006. The contents are the sole responsibility of the
   authors and do not necessarily reflect the views of USAID or the United
   States Government.
CR Abate GT, 2023, FOOD POLICY, V116, DOI 10.1016/j.foodpol.2023.102439
   AfranaaKwapong N., 2015, Journal of Agricultural Extension and Rural Development, V7, P122
   Agunga R., 2014, Journal of Development and Communication Studies, V3, P1
   Aker JC, 2011, AGR ECON-BLACKWELL, V42, P631, DOI 10.1111/j.1574-0862.2011.00545.x
   Alvarez-Mingote C, 2020, J AGRIC EDUC EXT, V26, P75, DOI 10.1080/1389224X.2019.1674169
   Amadu FO, 2022, CLIM POLICY, V22, P1097, DOI 10.1080/14693062.2022.2066060
   Ayisi Nyarko Daniel, 2021, Journal of the Saudi Society of Agricultural Sciences, V20, P164, DOI 10.1016/j.jssas.2021.01.002
   Berhane G., 2018, Intl Food Policy Res Inst
   Birner R, 2021, APPL ECON PERSPECT P, V43, P1260, DOI 10.1002/aepp.13145
   Braun V, 2012, APA HDB RES METHODS, V2, P57
   Cai T, 2019, LAND DEGRAD DEV, V30, P1336, DOI 10.1002/ldr.3318
   Cammack D, 2011, IDS BULL-I DEV STUD, V42, P88, DOI 10.1111/j.1759-5436.2011.00214.x
   Chikowo R, 2020, ROLE OF ECOSYSTEM SERVICES IN SUSTAINABLE FOOD SYSTEMS, P171, DOI 10.1016/B978-0-12-816436-5.00009-3
   Chimonyo VGP, 2019, CROP SCI, V59, P1222, DOI 10.2135/cropsci2018.09.0532
   Chiwasaab H., 2018, 13 EUR INT FARM SYST, P1
   Chowa C, 2013, J AGRIC EDUC EXT, V19, P147, DOI 10.1080/1389224X.2012.735620
   Coggins S, 2022, GLOB FOOD SECUR-AGR, V32, DOI 10.1016/j.gfs.2021.100577
   Creswell J.W., 2021, A concise introduction to mixed methods research
   Davis K. E., 2021, Working Paper Series, V118
   de Janvry A, 2020, WORLD DEV, V133, DOI 10.1016/j.worlddev.2020.105003
   Dorward A, 2004, J MOD AFR STUD, V42, P343, DOI 10.1017/S0022278X04000229
   FAO, 2022, Sub-Regional Coordinator for Southern Africa commends partner efforts to enhance Malawi's agricultural extension service delivery
   Government of Malawi, 2017, Understanding the District agricultural extension services system
   Jones EO, 2023, ENVIRON SUSTAIN IND, V19, DOI 10.1016/j.indic.2023.100274
   Kakhobwe CM, 2016, J AGRIC EXT, V20, P153, DOI 10.4314/jae.v20i1.13
   Kerr R. B., 2022, InCritical Adult Education in Food Movements, P29, DOI [10.1007/978-3-031-19400-93, DOI 10.1007/978-3-031-19400-93]
   Kerr RB, 2019, AGR ECOSYST ENVIRON, V279, P109, DOI 10.1016/j.agee.2019.04.004
   Kundhlande G., 2014, Farmer-to-Farmer Extension Approach in Malawi: A Survey of Organizations
   Kwatani Emily Kang'ombe, 2017, 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), P1, DOI 10.1109/ICTER.2017.8257813
   Lamm Kevan W., 2019, Journal of International Agricultural and Extension Education, V26, P58, DOI 10.5191/jiaee.2019.26304
   Maertens A, 2021, AM J AGR ECON, V103, P569, DOI 10.1111/ajae.12135
   Manyise T, 2021, ECOSYST SERV, V49, DOI 10.1016/j.ecoser.2021.101279
   Masangano C. M., 2017, Journal of Agricultural Extension and Rural Development, V9, P185, DOI 10.5897/jaerd2017.0875
   Masangano C. M., 2016, Journal of Agricultural Extension and Rural Development, V8, P240
   Masangano Charles., 2012, Pluralistic Extension System in Malawi
   Mikwamba K, 2021, J AGRIC EDUC EXT, V27, P255, DOI 10.1080/1389224X.2020.1844767
   Ministry of Agriculture Irrigation and Water Development. MoAIWD, 2016, Lilongwe Agriculture Development Division Guide Profile
   Msuya C. P., 2017, International Journal of Agricultural Extension, V5, P51
   Mungai LM, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01720
   Muyanga M, 2008, J AGRIC EDUC EXT, V14, P111, DOI 10.1080/13892240802019063
   Nord A, 2022, INT J AGR SUSTAIN, V20, P576, DOI 10.1080/14735903.2021.1961416
   Okori P, 2022, AGR FOOD SECUR, V11, DOI 10.1186/s40066-022-00375-4
   Olayemi S.S., 2021, International Journal of Agricultural Extension and Rural Development Studies, V8, P29
   Parkinson S, 2009, J AGRIC EDUC EXT, V15, P417, DOI 10.1080/13892240903309678
   Ragasa C., 2017, MaSSP Reports 2017
   Ragasa C., 2013, Quality matters and not quantity: Evidence on productivity impacts of extension service provision in Ethiopia, DOI [10.22004/ag.econ.150487, DOI 10.22004/AG.ECON.150487]
   Ragasa C, 2021, J DEV EFFECT, V13, P204, DOI 10.1080/19439342.2020.1853793
   Ragasa C, 2018, WORLD DEV, V105, P25, DOI 10.1016/j.worlddev.2017.12.004
   Scognamillo A, 2021, WORLD DEV, V146, DOI 10.1016/j.worlddev.2021.105618
   Snapp S, 2002, EXP AGR, V38, P411, DOI 10.1017/S0014479702000443
   Steinke J, 2021, INT J AGR SUSTAIN, V19, P549, DOI 10.1080/14735903.2020.1738754
   Tefera T., 2021, Innovations for Food and Livelihood Security, P233
   Van Vugt D, 2017, EXP AGR, V53, P396, DOI 10.1017/S0014479716000430
   Wellard K, 2013, J AGRIC EDUC EXT, V19, P21, DOI 10.1080/1389224X.2012.714712
   World Bank, 2015, Future of food: Shaping a climate-smart global food system
   Zabronsky H., 2021, Climate Change Adaptation and National Extension Approaches in Malawi: A Stakeholder Assessment
   Zulu L., 2017, Existing Research and Knowledge on Impacts of Climate Variability and Change on Agriculture and Communities in Malawi
   Zulu LC, 2023, ENVIRON DEV SUSTAIN, V25, P13909, DOI 10.1007/s10668-022-02632-9
   Zulu LC, 2021, J RURAL STUD, V82, P196, DOI 10.1016/j.jrurstud.2021.01.023
   Zulu LC, 2018, FOOD POLICY, V79, P141, DOI 10.1016/j.foodpol.2018.06.007
NR 60
TC 0
Z9 0
U1 3
U2 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 2331-1932
J9 COGENT FOOD AGR
JI Cogent Food Agr.
PD DEC 31
PY 2024
VL 10
IS 1
AR 2423249
DI 10.1080/23311932.2024.2423249
PG 16
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA L3V9T
UT WOS:001350044500001
OA gold
DA 2025-01-10
ER

PT J
AU Su, X
   Chen, MP
AF Su, Xun
   Chen, Minpeng
TI Maize migration mitigates the negative impact of climate change on
   China's maize yield
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change; maize; spatial distribution; migration; adaptation
ID TEMPERATURE
AB Crop migration as an adaptation to modulate climate change's impact on crop yields presents both benefits and risks. We explored how maize migration in China modulates yield responses to climate change and quantified the potential economic benefits of maize migration as an adaptation strategy. We employed a panel data model to identify and measure the factors driving the relocation of maize area, linear regression to quantify the effects of maize migration on climate exposure and irrigated area, and an econometric model to estimate the effects of maize migration on yield. The results show that rise in temperature has a significant negative effect on maize area and that precipitation has a significant positive effect. The migration of maize area is driven by socio-economic factors including agricultural gross domestic product, power of farming machines, and fertilizer input. Moreover, expanded irrigation reduces the adverse effects of high temperatures on maize yield, thereby influencing adaptive crop migrations. The beneficial effects of maize migration are primarily achieved by reducing the adverse effects of extreme heat and strengthening the positive effects of irrigation. However, the extent of this adaptation is jointly affected by agricultural policies, irrigation infrastructure, and economic factors. Current market-oriented agricultural policies may be effective in guiding spatial shifts in maize distribution to align with climate-driven changes, potentially decreasing the vulnerability of China's maize yield to the impact of climate change. China's food security policies need to consider climate-driven spatial shifts in crop cultivation and enhance food subsidy policies to highlight the benefits of investment in climate change adaptation, such as adjusting cropping acreage and irrigation to farmers in North China.
C1 [Su, Xun; Chen, Minpeng] Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China.
C3 Renmin University of China
RP Chen, MP (corresponding author), Renmin Univ China, Sch Agr Econ & Rural Dev, Beijing, Peoples R China.
EM minpeng.chen@ruc.edu.cn
RI Xu, Shichen/GOJ-9121-2022
FU National Key R&D Program of China [2023YFF0805904]
FX This study was funded by the National Key R&D Program of China (Grant
   No. 2023YFF0805904).
CR Chen SA, 2016, J ENVIRON ECON MANAG, V76, P105, DOI 10.1016/j.jeem.2015.01.005
   Costinot A, 2016, J POLIT ECON, V124, P205, DOI 10.1086/684719
   Cressie N.A.C., 1993, STAT SPATIAL DATA WI
   Cui XM, 2024, J DEV ECON, V167, DOI 10.1016/j.jdeveco.2023.103245
   Cui XM, 2020, J ENVIRON ECON MANAG, V101, DOI 10.1016/j.jeem.2020.102306
   Ewert F, 2015, ENVIRON MODELL SOFTW, V72, P287, DOI 10.1016/j.envsoft.2014.12.003
   Fan LL, 2020, AGR SYST, V185, DOI 10.1016/j.agsy.2020.102933
   Fan LL, 2018, J GEOGR SCI, V28, P1672, DOI 10.1007/s11442-018-1536-3
   Han XR, 2022, FOOD SECUR, V14, P147, DOI 10.1007/s12571-021-01212-5
   Hou P, 2021, RESOUR CONSERV RECY, V174, DOI 10.1016/j.resconrec.2021.105811
   Hu LX, 2019, J INTEGR AGR, V18, P2898, DOI 10.1016/S2095-3119(19)62732-2
   Hu YN, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafa55
   Huang JK, 2017, GLOB FOOD SECUR-AGR, V12, P119, DOI 10.1016/j.gfs.2016.10.002
   Jia Xy, 2019, SCI TOTAL ENVIRON, V672, P551, DOI 10.1016/j.scitotenv.2019.03.457
   Kang SZ, 2017, AGR WATER MANAGE, V179, P5, DOI 10.1016/j.agwat.2016.05.007
   Leng GY, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01599-2
   Li ZG, 2015, ENVIRON SCI TECHNOL, V49, P2032, DOI 10.1021/es505624x
   Liu Xunhao., 1993, CHINESE CROPPING SYS
   Luo YC, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab80f0
   Ma WL, 2022, APPL ECON LETT, V29, P526, DOI 10.1080/13504851.2021.1875113
   National Bureau of Statistics of China (NBSC), 2022, National database
   Peng QY, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02573-6
   Pickson RB, 2022, ENVIRON SCI POLLUT R, V29, P70242, DOI 10.1007/s11356-022-20722-z
   Qian L, 2022, LAND USE POLICY, V115, DOI 10.1016/j.landusepol.2022.106008
   Rezaei EE, 2023, NAT REV EARTH ENV, V4, P831, DOI 10.1038/s43017-023-00491-0
   Rising J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18725-w
   Roberts MJ, 2013, AM ECON REV, V103, P2265, DOI 10.1257/aer.103.6.2265
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Sloat LL, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-15076-4
   Song G, 2022, LAND USE POLICY, V123, DOI 10.1016/j.landusepol.2022.106421
   Wang D, 2024, J DEV ECON, V166, DOI 10.1016/j.jdeveco.2023.103196
   Wang JH, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac84f1
   Wang JY, 2018, LAND USE POLICY, V74, P204, DOI 10.1016/j.landusepol.2017.11.037
   Wu JZ, 2021, J INTEGR AGR, V20, P289, DOI 10.1016/S2095-3119(20)63244-0
   Wu Q., 2016, CARD Agric. Policy Rev., V3, P7
   Zaveri E, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12183-9
   Zhang C, 2022, SCI DATA, V9, DOI 10.1038/s41597-022-01522-z
   Zhang P, 2017, J ENVIRON ECON MANAG, V83, P8, DOI 10.1016/j.jeem.2016.12.001
   Zhao J, 2016, CLIMATIC CHANGE, V137, P29, DOI 10.1007/s10584-016-1652-y
   Zhou L, 2014, CHINA ECON REV, V28, P72, DOI 10.1016/j.chieco.2014.01.001
NR 40
TC 0
Z9 0
U1 27
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 JUL 1
PY 2024
VL 19
IS 7
AR 074058
DI 10.1088/1748-9326/ad5bf3
PG 9
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA XO7F6
UT WOS:001262683400001
OA gold
DA 2025-01-10
ER

PT C
AU Van, PV
   Thuan, ND
   Loan, DT
AF Pham Van Van
   Nguyen Duc Thuan
   Do Thi Loan
GP IOP
TI Development of Soil Quality Databases and Land Potential Assessment
   Using GIS: A Case Study of Lao Cai Province, Vietnam
SO NATIONAL CONFERENCE ON GIS APPLICATION
SE IOP Conference Series-Earth and Environmental Science
LA English
DT Proceedings Paper
CT National Conference on GIS Application
CY NOV 11-12, 2023
CL Vietnam Natl Univ Agr, Hanoi, VIETNAM
HO Vietnam Natl Univ Agr
DE GIS; Lao Cai Province; Soil quality; Land potential
AB The utilization of Geographic Information Systems (GIS), particularly the Mapinfo software, is indispensable in the establishment of a land quality and land potential database encompassing each land parcel within Lao Cai province. Through a multifaceted approach involving data collection techniques, field surveys, data analysis, and the creation of both spatial and attribute databases, the GIS application in Lao Cai province has successfully compiled a comprehensive dataset. This dataset encompasses a range of layers, including boundaries, administrative demarcations, land use statuses, survey points, soil types, slope characteristics, soil depth, irrigation patterns, climatic conditions, soil fertility data, and transportation and hydrological information. The amalgamation of this spatial data with attribute data yields a comprehensive repository featuring information on 405 units of agricultural land quality and potential, in addition to 65 aggregated non-agricultural land parcels. This combined dataset functions as the foundational land quality and potential database for Lao Cai province. Assessment outcomes for land quality and land potential throughout the entire province reveal that 51.42% of the land exhibits low quality, 35.06% demonstrates moderate quality, and 13.52% boasts high quality. In terms of land potential, 29.15% is categorized as having low potential, 44.88% as having moderate potential, and 25.97% as having high potential. Furthermore, the precise delineation of land quality and potential for each land parcel within the database effectively caters to the information retrieval needs of land administrators and stakeholders. This research also seeks to contribute to the standardization of land databases at both the provincial and national levels, thereby bolstering land management efforts within the context of globalization, development, and climate change adaptation.
C1 [Pham Van Van; Nguyen Duc Thuan; Do Thi Loan] Viet Nam Natl Univ Agr, Fac Nat Resources & Environm, Hanoi, Vietnam.
C3 Vietnam National University Hanoi (VNU Hanoi) System; Vietnam National
   University of Agriculture (VNUA)
RP Van, PV (corresponding author), Viet Nam Natl Univ Agr, Fac Nat Resources & Environm, Hanoi, Vietnam.
EM phamvan@vnua.edu.vn
CR [Anonymous], 1990, Report 28
   FAO, 1992, Land Evaluation for Farming System Analysis and for Land Use Planning, P6
   Gelb E., 2006, ICT in Agriculture: Perspectives of Technological Innovation
   Harini N., 2004, land cover change, V101, P111
   Institute of Agrochemical Soils, 2017, Results of assessing agricultural land quality for crop restructuring in 3 districts of Chuong My, Gia Lam and Thanh Oai, Hanoi city
   Lao Cai Department of Natural Resources and Environment, 2016, Products of Soil Degradation Survey at the Beginning of Lao Cai Province
   Lao Cai Department of Natural Resources and Environment, 2021, Land Survey and Inventory Results for 2021 in Lao Cai Province
   Minh Vo Quang, 2004, Journal of Soil Science
   Nguyen Quang Tuan, 2021, Research and application of remote sensing and GIS to build a database of soil and construction land resources to serve sustainable socio-economic development planning, pilot application in Thua Thien Hue province
   People's Committee of Lao Cai Province, 2020, Soil Quality and Potential Assessment in Lao Cai Province
   Schoorl P., 2000, Three-dimensional landscape process modelling: The effect of DEM resolution
   Sumbagan B., 2002, Environmental Management, V29, P647
   Tran Minh Tien, 2020, Building an online database on rice land quality for intensive farming, crop restructuring, minimizing greenhouse gas emissions and improving rice land use efficiency in Bac Ninh province
   U.S. Department of Agriculture (USDA), 2001, Natural Resources Conservation Center-Soil Quality Institute. Soil Quality Assessment Guide for Conservation Planning
   Van Pham Van, 2016, Journal of Soil Science, P55
NR 15
TC 0
Z9 0
U1 1
U2 1
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 2024
VL 1345
AR 012024
DI 10.1088/1755-1315/1345/1/012024
PG 14
WC Remote Sensing
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Remote Sensing
GA BX1GB
UT WOS:001244088400024
OA gold
DA 2025-01-10
ER

PT J
AU Niroula, S
   Cai, XM
   Mcisaac, G
AF Niroula, Sundar
   Cai, Ximing
   Mcisaac, Gregory
TI Sustaining crop yield and water quality under climate change in
   intensively managed agricultural watersheds-the need for both adaptive
   and conservation measures
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate change; agricultural adaptation; water quality; tile drains;
   fertilizer management; cover crops; switchgrass
ID DISSOLVED REACTIVE PHOSPHORUS; CHANGE ADAPTATION; ATMOSPHERIC CO2;
   NITROGEN LOSSES; CHANGE BELIEFS; SWAT MODEL; IMPACTS; VARIABILITY;
   MIDWEST; 21ST-CENTURY
AB The projected near-future climate (2031-2059) of wetter springs and drier summers may negatively affect agricultural production in the US Midwest, mostly through reduced aeration of the root zone due to excess soil water and frequent loss of nutrients such as nitrate (NO3-N) and total phosphorus. Several agricultural adaptations-such as adding tile drains and increasing fertilizer rates-may be deployed to mitigate potential reductions in crop yield. However, these adaptations (generally driven by economic benefits) may have a severe impact on water quality, which is already under stress due to excess nutrient runoff from agricultural fields causing hypoxia in inland and coastal waters. Here, we evaluate the crop yield and water quality consequences of such adaptations under future climate with the Soil and Water Assessment Tool in a testbed watershed located in central Illinois. We show that additional tile drains and increased fertilizers can help achieve baseline (2003-2018) corn yields but with a nearly two-fold increase in riverine NO3-N yield affecting a major drinking water supply source. However, a shift to spring-only fertilizer application may not require additional fertilizer and reduces the increase in NO3-N loss to 1.25 times above the baseline. We also show that water quality may improve (better than baseline) with conservation measures such as cover crops and switchgrass. Our findings highlight the need to develop efficient climate change adaptation and conservation strategies for sustainable agriculture and water quality.
C1 [Niroula, Sundar; Cai, Ximing] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA.
   [Mcisaac, Gregory] Univ Illinois, Dept Nat Resources & Environm Sci, Urbana, IL 61801 USA.
C3 University of Illinois System; University of Illinois Urbana-Champaign;
   University of Illinois System; University of Illinois Urbana-Champaign
RP Cai, XM (corresponding author), Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA.
EM xmcai@illinois.edu
OI Niroula, Sundar/0000-0002-7386-7305; Cai, Ximing/0000-0002-7342-4512;
   McIsaac, Gregory/0000-0001-7761-6231
FU This work was funded by the US National Science Foundation (INFEWS/T1
   award number 1739788). The authors would like to thank Rabin Bhattarai
   for providing helpful suggestions to improve the quality of the
   manuscript. [INFEWS/T1, 1739788]; US National Science Foundation
FX This work was funded by the US National Science Foundation (INFEWS/T1
   award number 1739788). The authors would like to thank Rabin Bhattarai
   for providing helpful suggestions to improve the quality of the
   manuscript.
CR Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Bassu S, 2014, GLOBAL CHANGE BIOL, V20, P2301, DOI 10.1111/gcb.12520
   Bauwe A, 2019, ECOHYDROL HYDROBIOL, V19, P198, DOI 10.1016/j.ecohyd.2019.03.003
   Boles C M W., 2013, Open Access Theses 23
   Boryan C, 2011, GEOCARTO INT, V26, P341, DOI 10.1080/10106049.2011.562309
   Brandes E, 2018, GCB BIOENERGY, V10, P199, DOI 10.1111/gcbb.12481
   Brekke L., 2013, Downscaled CMIP3 and CMIP5 Climate and Hydrology Projections: Release of Downscaled CMIP5 Climate Projections, Comparison with Preceding Information, and Summary of User Needs
   Butcher JB, 2014, J HYDROL, V513, P322, DOI 10.1016/j.jhydrol.2014.03.073
   Chen Y, 2019, AGR WATER MANAGE, V221, P13, DOI 10.1016/j.agwat.2019.04.021
   Cousino LK, 2015, J HYDROL-REG STUD, V4, P762, DOI 10.1016/j.ejrh.2015.06.017
   Culbertson AM, 2016, J GREAT LAKES RES, V42, P1332, DOI 10.1016/j.jglr.2016.08.008
   Davidson DJ, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aafa30
   Demaria EMC, 2016, J CLIMATE, V29, P6527, DOI 10.1175/JCLI-D-15-0632.1
   Demissie M., 1996, Watershed monitoring and land use evaluation for the Lake Decatur Watershed ISWS
   Dewitz J., 2021, NATL LAND COVER DATA
   EDF, 2022, How climate change will impact US corn, soybean and wheat yields
   FAO (Food and Agriculture Organization), 2009, Global agriculture towards 2050, P1
   Fezzi C, 2015, NAT CLIM CHANGE, V5, P255, DOI [10.1038/nclimate2525, 10.1038/NCLIMATE2525]
   Franks PJ, 2013, NEW PHYTOL, V197, P1077, DOI 10.1111/nph.12104
   Gentry LE, 2014, J ENVIRON QUAL, V43, P1467, DOI 10.2134/jeq2013.12.0499
   Gupta R, 2023, J ENVIRON MANAGE, V339, DOI 10.1016/j.jenvman.2023.117946
   Hatfield JL, 2018, CLIMATIC CHANGE, V146, P263, DOI 10.1007/s10584-017-1997-x
   Hatfield JL, 2011, AGRON J, V103, P351, DOI 10.2134/agronj2010.0303
   Hausfather Z, 2020, P NATL ACAD SCI USA, V117, P27791, DOI 10.1073/pnas.2017124117
   IEPA and IDOA, 2015, Illinois nutrient loss reduction strategy Illinois Environmental Protection Agency and Illinois Department of Agriculture
   Ilampooranan I, 2019, WATER RESOUR RES, V55, P3941, DOI [10.1029/2018WR023815, 10.1029/2018wr023815]
   Ishtiaque A, 2023, ENVIRON RES-CLIM, V2, DOI 10.1088/2752-5295/accb03
   Kalcic MM, 2019, ENVIRON SCI TECHNOL, V53, P7543, DOI 10.1021/acs.est.9b01274
   Keefer L., 2010, Hydrologic and nutrient monitoring of the Lake Decatur Watershed: final report 1992-2008, P82
   Kimball BA, 2002, ADV AGRON, V77, P293, DOI 10.1016/S0065-2113(02)77017-X
   Laurent A, 2018, J GEOPHYS RES-OCEANS, V123, P3408, DOI 10.1002/2017JC013583
   Lawrence NC, 2021, P NATL ACAD SCI USA, V118, DOI [10.1073/pnas.2112108118j1of8, 10.1073/pnas.2112108118]
   Lee S, 2017, T ASABE, V60, P1939, DOI 10.13031/trans.12390
   Li SB, 2023, ENVIRON SCI TECHNOL, V57, P9194, DOI 10.1021/acs.est.3c02055
   Li SB, 2022, ENVIRON MODELL SOFTW, V148, DOI 10.1016/j.envsoft.2021.105269
   Li SB, 2021, ENVIRON MODELL SOFTW, V143, DOI 10.1016/j.envsoft.2021.105083
   Loecke TD, 2017, BIOGEOCHEMISTRY, V133, P7, DOI 10.1007/s10533-017-0315-z
   Lu SL, 2016, AGR WATER MANAGE, V175, P78, DOI 10.1016/j.agwat.2015.12.008
   Ma ZW, 2023, WATER RES, V229, DOI 10.1016/j.watres.2022.119468
   Malone R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12187630
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Mcisaac GF, 2004, BIOGEOCHEMISTRY, V70, P251, DOI 10.1023/B:BIOG.0000049342.08183.90
   Michalak AM, 2013, P NATL ACAD SCI USA, V110, P6448, DOI 10.1073/pnas.1216006110
   Muenich RL, 2016, ENVIRON SCI TECHNOL, V50, P8146, DOI 10.1021/acs.est.6b01421
   Neitsch S, 2011, SOIL WATER ASSESSMEN
   Niroula S, 2023, J AM WATER RESOUR AS, DOI 10.1111/1752-1688.13097
   Rabalais N. N., 2019, Limnol Oceanogr Bull, V28, P117, DOI [DOI 10.1002/LOB.10351, 10.1002/lob.10351open]
   Randall GW, 2003, J ENVIRON QUAL, V32, P1764, DOI 10.2134/jeq2003.1764
   Ray DK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0066428
   Reidmiller D. R., 2017, Impacts, risks, and adaptation in the United States, VII
   Ren DY, 2022, WATER RES, V217, DOI 10.1016/j.watres.2022.118353
   Roesch-McNally GE, 2018, RENEW AGR FOOD SYST, V33, P322, DOI [10.1017/S1742170517000096, 10.1017/s1742170517000096]
   Sinha E, 2017, SCIENCE, V357, P405, DOI 10.1126/science.aan2409
   Skevas T, 2022, CLIMATIC CHANGE, V174, DOI 10.1007/s10584-022-03439-3
   Smith CM, 2013, J ENVIRON QUAL, V42, P219, DOI 10.2134/jeq2012.0210
   Sun WG, 2023, SCI TOTAL ENVIRON, V878, DOI 10.1016/j.scitotenv.2023.162960
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Travis WR, 2013, CLIMATIC CHANGE, V121, P209, DOI 10.1007/s10584-013-0876-3
   Tulbure MG, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045903
   Urban DW, 2015, CLIMATIC CHANGE, V130, P247, DOI 10.1007/s10584-015-1362-x
   Van Meter KJ, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035014
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Wallington K, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR033283
   Wang RY, 2016, AGR FOREST METEOROL, V216, P141, DOI 10.1016/j.agrformet.2015.10.001
   Wang S, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00646-4
   Wang ZZ, 2015, CLIMATIC CHANGE, V129, P323, DOI 10.1007/s10584-015-1342-1
   Wuebbles D., 2021, The Nature Conservancy in Illinois, DOI DOI 10.13012/B2IDB-1260194_V1
   Xu GL, 2016, J PLANT PHYSIOL, V205, P20, DOI 10.1016/j.jplph.2016.08.003
   Yoder L, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2020.105268
   Yuan YP, 2022, J ENVIRON MANAGE, V302, DOI 10.1016/j.jenvman.2021.114000
NR 71
TC 1
Z9 1
U1 12
U2 23
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 DEC 1
PY 2023
VL 18
IS 12
AR 124029
DI 10.1088/1748-9326/ad085f
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA X9UD4
UT WOS:001101816000001
OA gold
DA 2025-01-10
ER

PT J
AU Lathouwers, E
   Segers, Y
   Verstraeten, G
AF Lathouwers, Eline
   Segers, Yves
   Verstraeten, Gert
TI Reconstructing valley landscapes. GIS-analyses of past land use changes
   in three Flemish river valleys since the late 18th century
SO LAND USE POLICY
LA English
DT Article
DE Land use/ land cover changes (LULCC); Floodplain management; Historical
   maps; Rural history
ID HISTORICAL MAPS; COVER CHANGES; LONG-TERM; WETLAND; FLOODPLAINS; DRIVERS
AB The restoration of riverine ecosystem services and floodplain landscapes has become an important tool in climate mitigation, however, it is often unclear what landscape a restoration is (or should be) referring to. Little is known moreover, about long-term transitions in historic valley land use or how they echo in contemporary perceptions of floodplain landscapes. Also in densely populated Flanders (in the north of Belgium), where floodplains are quickly losing their natural functions, policymakers are actively in pursuit of climate change adaptation strategies and sustainable valley management. We present the results of a GIS-based reconstruction of historical land use in three Flemish river valleys from 1771 to 2002 and compare them to changes in regional land use. We find that while grasslands initially and to a vast extent covered our selected floodplains, the latter were by the mid19th century cultivated for agricultural production, in line with a global expansion of arable land and regional demographic growth. Also forest cover in the studied river valleys grew exponentially from the late 19th century, unmatched by regional forest cover. After the Second World War, a denser road network, more area that is builtup and forest plantations visually contributed to valley compartmentalisation and the perception of a closed landscape. Varying soil textures and drainage levels or the (in)ability to manage them properly accounted for different(ly) (timed) land use changes between the studied floodplain areas. Regional changes in historic land use were of lesser importance.
C1 [Lathouwers, Eline; Segers, Yves] Katholieke Univ Leuven, Interfac Ctr Agrarian Hist, Naamsestr 63, B-3000 Leuven, Belgium.
   [Verstraeten, Gert] Katholieke Univ Leuven, Div Geog & Tourism, Celestijnenlaan 200E, B-3001 Leuven, Belgium.
C3 KU Leuven; KU Leuven
RP Lathouwers, E (corresponding author), Katholieke Univ Leuven, Interfac Ctr Agrarian Hist, Naamsestr 63, B-3000 Leuven, Belgium.
EM eline.lathouwers@kuleuven.be
RI Segers, Yves/LYO-9527-2024; Verstraeten, Gert/K-3305-2012
OI Lathouwers, Eline/0009-0000-7099-5507; Verstraeten,
   Gert/0000-0002-6529-7381
CR Antrop M, 2017, LANDSC SER, V23, P1, DOI 10.1007/978-94-024-1183-6
   Baeten J, 2020, HIST METHOD, V53, P182, DOI 10.1080/01615440.2020.1748151
   Belgian Chamber of Representatives, 1966, Parliamentary interpellation
   Bracke W., 2009, De Grote Atlas van de Ferraris
   Bürgi M, 2015, LANDSCAPE ECOL, V30, P1321, DOI 10.1007/s10980-015-0189-1
   Claeys D, 2019, APPL GEOGR, V111, DOI 10.1016/j.apgeog.2019.102063
   Cooke SJ, 2022, FRESHW SCI, V41, P183, DOI 10.1086/719958
   Coordinatiecommissie Integraal Waterbeleid, About Blue Deal
   Cousins SAO, 2001, LANDSCAPE ECOL, V16, P41, DOI 10.1023/A:1008108704358
   Davidson NC, 2014, MAR FRESHWATER RES, V65, P934, DOI 10.1071/MF14173
   De Coene K, 2012, CARTOGR J, V49, P30, DOI 10.1179/1743277411Y.0000000013
   De Maeyer P., 2004, De Spiegel Van De Wereld: Fundamenten Van De Cartografie
   Decleer K, 2016, ECOL SOC, V21, DOI 10.5751/ES-08964-210446
   Dejongh G, 2000, REV BELGE PHILOL HIS, V78, P471, DOI 10.3406/rbph.2000.4455
   Dejongh G., 1999, De ontginningspolitiek van de overheid in de Zuidelijke Nederlanden
   Dejongh G., 2002, Van. Klein Land. Tot Vlaam. Land.: vijfenzestig Jaar werking Op. het Vlaam, P1935
   Deneef R., 1984, Monumenten en Landschappen, V3, P6
   Expertenpanel hoogwaterbeveiliging, 2022, Weerbaar Waterland: ons voorbereiden op wat al gebeurd
   Fairclough G, 2016, LANDSCAPE RES, V41, P186, DOI 10.1080/01426397.2015.1135318
   FOD Economie, 2021, Kerncijfers landbouw
   Fryirs K, 2021, EARTH SURF PROC LAND, V46, P3004, DOI 10.1002/esp.5279
   Fuchs R, 2015, APPL GEOGR, V59, P43, DOI 10.1016/j.apgeog.2015.02.013
   Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
   Gimmi U, 2011, LANDSCAPE ECOL, V26, P1071, DOI 10.1007/s10980-011-9633-z
   Godet L, 2013, APPL GEOGR, V42, P133, DOI 10.1016/j.apgeog.2013.05.011
   Haase D, 2007, LAND USE POLICY, V24, P248, DOI 10.1016/j.landusepol.2005.09.003
   Hamre LN, 2007, LANDSCAPE ECOL, V22, P1563, DOI 10.1007/s10980-007-9154-y
   Nguyen HH, 2017, LAND USE POLICY, V64, P101, DOI 10.1016/j.landusepol.2017.02.019
   Hohensinner Severin, 2013, Water Hist, V5, P121
   Jacobsson Oscar, 2020, Water History, V12, P477, DOI 10.1007/s12685-020-00265-1
   Kanianska R, 2014, LAND USE POLICY, V36, P554, DOI 10.1016/j.landusepol.2013.09.018
   Karel Erwin, 2015, STRUGGLING ENV LAND, P261, DOI [10.1484/M.res-eB.5.108040, DOI 10.1484/M.RES-EB.5.108040]
   Lathouwers E, 2024, ENVIRON HIST-UK, V30, P315, DOI 10.3197/096734023X16702350656951
   McAllister LS, 2008, ENVIRON MANAGE, V42, P412, DOI 10.1007/s00267-008-9127-1
   Munteanu C, 2014, LAND USE POLICY, V38, P685, DOI 10.1016/j.landusepol.2014.01.012
   Newson M, 2022, EARTH SURF PROC LAND, V47, P409, DOI 10.1002/esp.5256
   Notebaert B, 2010, CATENA, V82, P169, DOI 10.1016/j.catena.2010.06.003
   Pedroli G.B. M., 2007, Europe's Living Landscapes: Essays Exploring Our Identity in the Countryside
   Petit CC, 2002, LANDSCAPE ECOL, V17, P117, DOI 10.1023/A:1016599627798
   Rajib A, 2023, SCI DATA, V10, DOI 10.1038/s41597-023-02382-x
   Rheinisch -Westfalischen Technischen Hochschule Aachen, 2006, PhD thesis
   Schaich H, 2011, EUR COUNTRYS, V3, P241, DOI 10.2478/v10091-012-0007-6
   Segers Y., 2004, Leven Van. Het Land, P1750
   Sigmaplan, Upper Dyle
   Sigmaplan, The Demer Valley
   Smeyers K., 2015, Spitsregio: Het Arrondiss, P1965
   Stabel A., 2002, Referentietoestand van waterlopen van het Vlaamse gewest op basis van historische gegevens: macrofyten, vissen, diatomeeen, fysische structuur
   Statuto D, 2017, LAND-BASEL, V6, DOI 10.3390/land6030065
   Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104
   Van Hecke E., 2010, Atlas van Belgie: Landschappen, platteland en landbouw
   Verheyden B., 2021, MA thesis
   Verstraeten G, 2018, WOR GEOMORPHOL LANDS, P269, DOI 10.1007/978-3-319-58239-9_16
   Vliebergh E., 1921, Het Hageland: Zijne Plattelandsche Bevolking in De XIXe Eeuw: Bijdrage Tot De Studie Der Economische En Sociale Geschiedenis
   Vrielinck S., 2000, De territoriale indeling van Belgi (17951963): bestuursgeografisch en statistisch repertorium van de gemeenten en de supracommunale eenheden (administratief en gerechtelijk)
   Wolf S, 2021, ENVIRON SCI EUR, V33, DOI 10.1186/s12302-021-00460-8
   Yang YY, 2014, J GEOGR SCI, V24, P746, DOI 10.1007/s11442-014-1117-z
NR 56
TC 2
Z9 2
U1 4
U2 12
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 DEC
PY 2023
VL 135
AR 106960
DI 10.1016/j.landusepol.2023.106960
EA NOV 2023
PG 20
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA Z3SQ2
UT WOS:001111309900001
DA 2025-01-10
ER

PT J
AU Segovia-Martin, J
   Creutzig, F
   Winters, J
AF Segovia-Martin, Jose
   Creutzig, Felix
   Winters, James
TI Efficiency traps beyond the climate crisis: exploration-exploitation
   trade-offs and rebound effects
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE climate change; reinforcement learning; environmental economics;
   indirect rebound effect; consumption; economic growth
ID ENERGY EFFICIENCY; ECONOMIC-GROWTH; US HOUSEHOLDS; CO2 EMISSIONS;
   CONSUMPTION; CONSERVATION; RECYCLE
AB Higher levels of economic activity are often accompanied by higher energy use and consumption of natural resources. As fossil fuels still account for 80% of the global energy mix, energy consumption remains closely linked to greenhouse gas (GHG) emissions and thus to climate change. Under the assumption of sufficiently elastic demand, this reality of global economic development based on permanent growth of economic activity, brings into play the Jevons Paradox, which hypothesises that increases in the efficiency of resource use leads to increases in resource consumption. Previous research on the rebound effects has limitations, including a lack of studies on the connection between reinforcement learning and environmental consequences. This paper develops a mathematical model and computer simulator to study the effects of micro-level exploration-exploitation strategies on efficiency, consumption and sustainability, considering different levels of direct and indirect rebound effects. Our model shows how optimal exploration-exploitation strategies for increasing efficiency can lead to unsustainable development patterns if they are not accompanied by demand reduction measures, which are essential for mitigating climate change. Moreover, our paper speaks to the broader issue of efficiency traps by highlighting how indirect rebound effects not only affect primary energy (PE) consumption and GHG emissions, but also resource consumption in other domains. By linking these issues together, our study sheds light on the complexities and interdependencies involved in achieving sustainable development goals.This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
C1 [Segovia-Martin, Jose; Winters, James] M6 Polytech Univ SCI UM6P, Sch Collect Intelligence, Rabat 11103, Morocco.
   [Segovia-Martin, Jose] Complex Syst Inst Paris Ile de France ISCPIF CNRS, F-75013 Paris, France.
   [Creutzig, Felix] Mercator Res Inst Global Commons & Climate Change, D-10829 Berlin, Germany.
   [Creutzig, Felix] Tech Univ Berlin, D-10623 Berlin, Germany.
   [Winters, James] Brunel Univ London, Dept Psychol, Ctr Culture & Evolut, Uxbridge UB8 3PH, England.
C3 Technical University of Berlin; Brunel University
RP Segovia-Martin, J (corresponding author), M6 Polytech Univ SCI UM6P, Sch Collect Intelligence, Rabat 11103, Morocco.; Segovia-Martin, J (corresponding author), Complex Syst Inst Paris Ile de France ISCPIF CNRS, F-75013 Paris, France.
EM jsegoviamartin@protonmail.ch
RI Winters, James/S-2005-2019; Creutzig, Felix/B-8691-2016
OI Segovia-Martin, Jose/0000-0002-2303-3193; Winters,
   James/0000-0003-2982-2991
FU J.S.-M. and J.W. acknowledge the support from the School of Collective
   Intelligence and the University Mohammed VI Polytechnic (UM6P). We thank
   our colleagues from Mercator Research Institute on Global Commons and
   Climate Change for insightful conversation; School of Collective
   Intelligence; University Mohammed VI Polytechnic
FX J.S.-M. and J.W. acknowledge the support from the School of Collective
   Intelligence and the University Mohammed VI Polytechnic (UM6P). We thank
   our colleagues from Mercator Research Institute on Global Commons and
   Climate Change for insightful conversations during this research
   project.
CR Abas N, 2015, FUTURES, V69, P31, DOI 10.1016/j.futures.2015.03.003
   Alfredsson EC, 2004, ENERGY, V29, P513, DOI 10.1016/j.energy.2003.10.013
   Azevedo IML, 2014, ANNU REV ENV RESOUR, V39, P393, DOI 10.1146/annurev-environ-021913-153558
   Bajzelj B, 2014, NAT CLIM CHANGE, V4, P924, DOI [10.1038/nclimate2353, 10.1038/NCLIMATE2353]
   Berger-Tal O, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095693
   Binswanger M, 2001, ECOL ECON, V36, P119, DOI 10.1016/S0921-8009(00)00214-7
   Blanken I, 2015, PERS SOC PSYCHOL B, V41, P540, DOI 10.1177/0146167215572134
   Brännlund R, 2007, ENERG ECON, V29, P1, DOI 10.1016/j.eneco.2005.09.003
   Bringezu S, 2004, ECOL ECON, V51, P97, DOI 10.1016/j.ecolecon.2004.04.010
   Buhl J., 2016, Rethinking Climate and Energy Policies, P37, DOI [DOI 10.1007/978-3-319-38807-6_3, 10.1007/978-3-319-38807-63, DOI 10.1007/978-3-319-38807-63, 10.1007/978-3-319-38807-6_3]
   Catlin JR, 2013, J CONSUM PSYCHOL, V23, P122, DOI 10.1016/j.jcps.2012.04.001
   Chitnis M, 2014, ECOL ECON, V106, P12, DOI 10.1016/j.ecolecon.2014.07.003
   Chitnis M, 2013, ENERG POLICY, V55, P234, DOI 10.1016/j.enpol.2012.12.008
   Creutzig F., 2021, PREPRINT, DOI [10.1002/essoar.10506825.1, DOI 10.1002/ESSOAR.10506825.1]
   Creutzig F, 2022, NAT CLIM CHANGE, V12, P36, DOI 10.1038/s41558-021-01219-y
   Creutzig F, 2017, NAT ENERGY, V2, DOI 10.1038/nenergy.2017.140
   Dalamagkidis K, 2007, BUILD ENVIRON, V42, P2686, DOI 10.1016/j.buildenv.2006.07.010
   Druckman A, 2011, ENERG POLICY, V39, P3572, DOI 10.1016/j.enpol.2011.03.058
   Energy Study Institute (EESI) E. A., 2021, FOSS FUELS EESI FOSS
   Frankenhuis WE, 2019, BEHAV PROCESS, V161, P94, DOI 10.1016/j.beproc.2018.01.008
   Galeotti M, 2006, ECOL ECON, V57, P152, DOI 10.1016/j.ecolecon.2005.03.031
   Guerra AI, 2010, ENERG POLICY, V38, P6684, DOI 10.1016/j.enpol.2010.06.038
   Haberl H, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab842a
   Hickel J, 2020, NEW POLIT ECON, V25, P469, DOI 10.1080/13563467.2019.1598964
   Hills TT, 2015, TRENDS COGN SCI, V19, P46, DOI 10.1016/j.tics.2014.10.004
   Holechek JL, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14084792
   Höök M, 2010, MAR PETROL GEOL, V27, P1995, DOI 10.1016/j.marpetgeo.2010.06.005
   Jevons William Stanley, 1866, "VII". The Coal Question, V2nd
   Kais S, 2016, RENEW SUST ENERG REV, V59, P1101, DOI 10.1016/j.rser.2016.01.054
   Katz K, 2015, BEHAV ECOL, V26, P1045, DOI 10.1093/beheco/arv045
   Kratena K., 2010, WIFO WORKING PAPERS
   Lamb WF, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abee4e
   Le Quéré C, 2019, NAT CLIM CHANGE, V9, P213, DOI 10.1038/s41558-019-0419-7
   Lenzen M, 2002, ENERG ECON, V24, P377, DOI 10.1016/S0140-9883(02)00007-5
   Lenzen M, 2022, NAT FOOD, V3, P308, DOI 10.1038/s43016-022-00516-9
   Ma BL, 2019, J CLEAN PROD, V206, P870, DOI 10.1016/j.jclepro.2018.09.063
   Mao HZ, 2016, PROCEEDINGS OF THE 15TH ACM WORKSHOP ON HOT TOPICS IN NETWORKS (HOTNETS '16), P50, DOI 10.1145/3005745.3005750
   Mason K, 2019, COMPUT ELECTR ENG, V78, P300, DOI 10.1016/j.compeleceng.2019.07.019
   Miller DT, 2010, ADV EXP SOC PSYCHOL, V43, P115, DOI 10.1016/S0065-2601(10)43003-8
   Mizobuchi K, 2008, ENERG ECON, V30, P2486, DOI 10.1016/j.eneco.2008.01.001
   Monin B, 2001, J PERS SOC PSYCHOL, V81, P33, DOI 10.1037//0022-3514.81.1.33
   Mundaca L, 2019, ENERG EFFIC, V12, P343, DOI 10.1007/s12053-018-9722-9
   Murray CK, 2013, ENERG POLICY, V54, P240, DOI 10.1016/j.enpol.2012.11.025
   Noblet CL, 2018, ENVIRON BEHAV, V50, P839, DOI 10.1177/0013916517718022
   Ockwell DG, 2008, ENERG POLICY, V36, P4600, DOI 10.1016/j.enpol.2008.09.005
   Reimers H, 2021, CLEAN RESPONS CONSUM, V3, DOI 10.1016/j.clrc.2021.100032
   Sadraoui T., 2019, International Journal of Econometrics and Financial Management, V7, P20, DOI [DOI 10.12691/IJEFM-7-1-3, 10.12691/ijefm-7-1-3]
   Santarius T, 2018, ECOL ECON, V146, P414, DOI 10.1016/j.ecolecon.2017.12.009
   Seebauer S, 2018, ENERGY RES SOC SCI, V46, P311, DOI 10.1016/j.erss.2018.08.006
   Segovia-Martin J., 2023, SCH OF COLLECTIVE IN
   Segovia-Martin J., 2023, DRYAD DIGITAL REPOSI, DOI [10.5061/dryad.qjq2bvqnk, DOI 10.5061/DRYAD.QJQ2BVQNK]
   Segovia-Martin J., 2023, DATA EFFICIENCY TRAP, DOI [10.5061/dryad.bnzs7h4h4, DOI 10.5061/DRYAD.BNZS7H4H4]
   Segovia-Martin J., 2023, SIMULATION TOOL CAN
   Sorrell S., 2007, The rebound effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency
   Stern D.I., 2004, Encyclopedia of Energy, V2, P35, DOI DOI 10.1016/B0-12-176480-X/00147-9
   Thomas BA, 2013, ECOL ECON, V86, P199, DOI 10.1016/j.ecolecon.2012.12.003
   Thomas BA, 2013, ECOL ECON, V86, P188, DOI 10.1016/j.ecolecon.2012.12.002
   Tiefenbeck V, 2013, ENERG POLICY, V57, P160, DOI 10.1016/j.enpol.2013.01.021
   Toyokawa W, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095789
   Truelove HB, 2016, J ENVIRON PSYCHOL, V46, P55, DOI 10.1016/j.jenvp.2016.03.004
   Uchiyama K., 2016, Environmental kuznets curve hypothesis, V1, P11, DOI [10.1007/978-4-431-55921-4_2, DOI 10.1007/978-4-431-55921-4_2]
   United Nations, 2011, DEC NAT RES US ENV I
   United Nations, 2015, No.A/RES/70/1.
   Yasin I, 2021, ENVIRON DEV SUSTAIN, V23, P6698, DOI 10.1007/s10668-020-00885-w
   Yogeswaran M, 2012, OPSEARCH, V49, P223, DOI 10.1007/s12597-012-0077-2
NR 65
TC 5
Z9 5
U1 3
U2 19
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 NOV 6
PY 2023
VL 378
IS 1889
AR 20220405
DI 10.1098/rstb.2022.0405
PG 11
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA S0SY8
UT WOS:001068365900004
PM 37718604
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Karami, H
   Sayahnia, R
   Barghjelveh, S
AF Karami, Hossein
   Sayahnia, Romina
   Barghjelveh, Shahindokht
TI Integrating climate change adaptation policies in spatial development
   planning in hyperarid regions of Kerman province, Iran
SO HELIYON
LA English
DT Article
DE Climate change scenarios; Human development; Land cover; Supply and
   demand
ID LAND-USE CHANGE; SCENARIOS
AB In recent years, lifestyle changes and urbanization of societies, as well as macro-environmental changes, i.e. climate changes (CCs), have caused changes in the land spatial structure and the transfer of resources between different economic sectors of the land. The development of longterm spatial development plans (SDPs) needs to be compatible with CCs, especially in hyperarid areas with low supplies and high demands. In this research, machine learning methods; including Cellular Automata (CA), Random Forest (RF) and regression models through PLUS model were used to simulate the amount of supplies and demands based on land cover (LC) maps during the years 2000, 2010 and 2020 in the hyperarid areas of Kerman, Iran. Then, the best predicted model (Kappa = 0.94, overall accuracy = 0.98) was used to simulate changes in LC classes under climate change scenarios (CCSs) for 2050. The results showed the efficiency of machine learning in simulating land cover changes (LCCs) under CCSs. Findings revealed that SDPs of these areas are not compatible under any possible consideration of CCSs. The modeling results showed that spatial development plans under CCSs is not environmentally efficient and there is no compatibility between supplies, based on agricultural lands, and demands, based on increased population, by 2050. Overall, under the scenario of RCP 8.5, man-made, agriculture and natural LC classes with 106.9, 2.9, and 18.6% changes, respectively, showed the greatest changes compared to 2020. Population control, adjustment of infrastructures, and changes in LC plans can reduce socio-economical and socio-environmental problems in the future of hyperarid areas to some extent.
C1 [Karami, Hossein; Sayahnia, Romina; Barghjelveh, Shahindokht] Shahid Beheshti Univ, Environm Sci Res Inst, Dept Environm Planning & Design, Tehran 1983969411, Iran.
C3 Shahid Beheshti University
RP Sayahnia, R (corresponding author), Shahid Beheshti Univ, Environm Sci Res Inst, Dept Environm Planning & Design, Tehran 1983969411, Iran.
EM r_sayahnia@sbu.ac.ir
RI Karami, Hossein/S-4064-2018
CR Amiri M. J., 2010, Journal of Environmental Science and Technology, V3, P208
   Andaryani S, 2021, ECOL INFORM, V64, DOI 10.1016/j.ecoinf.2021.101332
   [Anonymous], 2019, Climate change and land
   Beroho M, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15041162
   Chao Q., 2018, GLOBAL ENERGY INTER, V1, P420, DOI [10.14171/j.2096-5117.gei.2018.04.002, DOI 10.14171/J.2096-5117.GEI.2018.04.002]
   Cobbinah PB, 2021, LAND USE POLICY, V100, DOI 10.1016/j.landusepol.2020.104948
   Davis DE, 2016, INT J URBAN SCI, V20, P1, DOI 10.1080/12265934.2016.1143784
   Doelman JC, 2018, GLOBAL ENVIRON CHANG, V48, P119, DOI 10.1016/j.gloenvcha.2017.11.014
   Ebrahimi E, 2022, ECOL COMPLEX, V50, DOI 10.1016/j.ecocom.2022.100997
   Gaur S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15020903
   Ghiami-Shamami F, 2019, THEOR APPL CLIMATOL, V136, P875, DOI 10.1007/s00704-018-2523-4
   Hersperger AM, 2018, GLOBAL ENVIRON CHANG, V51, P32, DOI 10.1016/j.gloenvcha.2018.05.001
   Howell EL., 2018, Politics and the Life Sciences, V37, P250, DOI [DOI 10.1017/PLS.2018.12, 10.1017/pls.2018.12]
   Isik S, 2013, J HYDROL, V485, P103, DOI 10.1016/j.jhydrol.2012.08.032
   Jalota S.K., 2018, Understanding Climate Change Impacts on Crop Productivity and Water Balance, P223
   Karandish F, 2018, THEOR APPL CLIMATOL, V131, P777, DOI 10.1007/s00704-016-2008-2
   Karimi A, 2020, J AGR FOOD CHEM, V68, P9940, DOI 10.1021/acs.jafc.0c03681
   Lenssen NJL, 2019, J GEOPHYS RES-ATMOS, V124, P6307, DOI 10.1029/2018JD029522
   Liu XP, 2017, LANDSCAPE URBAN PLAN, V168, P94, DOI 10.1016/j.landurbplan.2017.09.019
   Mallick SK, 2021, GEOGR SUSTAIN, V2, P127, DOI 10.1016/j.geosus.2021.06.002
   Mansouri Daneshvar MR., 2019, Environ. Syst. Res., V8, P1, DOI [10.1186/s40068-019-0135-3, DOI 10.1186/S40068-019-0135-3]
   Msofe NK, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11020505
   Nadin V, 2021, REG STUD, V55, P791, DOI 10.1080/00343404.2020.1817363
   Nath N, 2023, LAND-BASEL, V12, DOI 10.3390/land12010151
   Ngoy KI, 2021, EARTH-BASEL, V2, P845, DOI 10.3390/earth2040050
   Pachauri RK., 2015, CLIMATE CHANGE 2014, P151
   Pecl GT, 2017, SCIENCE, V355, DOI 10.1126/science.aai9214
   Polhill JG, 2008, JASSS-J ARTIF SOC S, V11
   Sarkodie SA, 2019, SCI TOTAL ENVIRON, V656, P150, DOI 10.1016/j.scitotenv.2018.11.349
   Shen HY, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093314
   Surya B, 2020, LAND-BASEL, V9, DOI 10.3390/land9030095
   Talukdar S, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12071135
   Tao Y, 2023, FRONT ECOL EVOL, V11, DOI 10.3389/fevo.2023.1102015
   Thoidou E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084456
   Tol RSJ, 2018, REV ENV ECON POLICY, V12, P4, DOI 10.1093/reep/rex027
   Vinayak B, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13020471
   Wang JY, 2022, SCI TOTAL ENVIRON, V822, DOI 10.1016/j.scitotenv.2022.153559
   Wang QZ, 2023, J ENVIRON MANAGE, V335, DOI 10.1016/j.jenvman.2023.117543
   Wang SH, 2018, LANDSCAPE URBAN PLAN, V169, P22, DOI 10.1016/j.landurbplan.2017.08.001
   Wang ZY, 2022, ECOL INDIC, V134, DOI 10.1016/j.ecolind.2021.108499
   Weng QH, 2019, GISCI REMOTE SENS, V56, P576, DOI 10.1080/15481603.2018.1548080
   Wenner F, 2020, URBAN SCI, V4, DOI 10.3390/urbansci4010002
   Xu LF, 2022, LAND-BASEL, V11, DOI 10.3390/land11050652
   Zarandian A, 2023, ENVIRON MONIT ASSESS, V195, DOI 10.1007/s10661-022-10740-2
   Zhang F, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9050724
NR 45
TC 1
Z9 1
U1 0
U2 1
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD SEP
PY 2023
VL 9
IS 9
AR e19785
DI 10.1016/j.heliyon.2023.e19785
PG 14
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA ER2Q1
UT WOS:001140588600001
PM 37809853
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Fan, XD
   Zhang, XJ
   Yu, AL
   Speitel, M
   Yu, X
AF Fan, Xudong
   Zhang, Xijin
   Yu, Allen
   Speitel, Matthew
   Yu, Xiong
TI Assessment of the impacts of climat change on water supply system pipe
   failures
SO SCIENTIFIC REPORTS
LA English
DT Article
ID WEATHER CONDITIONS; CORROSION
AB Climate change is projected to have profound impacts on the resilience and sustainability of built infrastructure. This study aims to understand the impacts of climate change on water supply systems and to facilitate adaptive actions. A premium database maintained by the Cleveland Water Division, Cleveland, Ohio, USA is analyzed. It contains 29,621 pipe failure records of 51,832 pipes over the past 30 years, representing one of the largest dataset in current literature. From the database, pipe failure rate models have been developed for water pipes made of different types of materials at different ages. The influence of climate (temperature and precipitation) on fragility of water pipes are obtained. Based on the developed climate-fragility failure rate models, the impacts of climate change on the water systems located in different geographic regions are evaluated by predicting the failure rate and number of failures in the water systems in the next 80 years (2020 to 2100). Climate models are used to predict weather under different climate change scenarios. The results demonstrate that the impacts of climate change on water supply system are likely complicated and are dependent upon factors such as the geographic location, pipe material, pipe age, and maintenance strategies. Water pipes in the cold regions may experience fewer number breaks due to the warmer weather and less severe winter, whereas those located in the hot regions may experience more failures associated with more corrosion. Different pipe replacement strategies are compared, which demonstrate the importance of considering the aging of water supply system in future maintenance decisions. This study enriches current understandings on the impacts of climate change on the water systems. The results will help water utilities to design climate change adaptation strategies.
C1 [Fan, Xudong] Case Western Reserve Univ, Dept Civil & Environm Engn, 2104 Adelbert Rd,Bingham 248, Cleveland Hts, OH 44106 USA.
   [Zhang, Xijin; Speitel, Matthew] Case Western Reserve Univ, Dept Civil & Environm Engn, 2104 Adelbert Rd,Bingham 249C, Cleveland Hts, OH 44106 USA.
   [Yu, Allen] Beachwood High Sch, Beachwood, OH 44122 USA.
   [Speitel, Matthew] Case Western Reserve Univ, Dept Civil & Environm Engn, 2104 Adelbert Rd,Bingham 235, Cleveland Hts, OH 44106 USA.
   [Yu, Xiong] Case Western Reserve Univ, Opal J & Richard A Vanderhoof Prof & Chair, Dept Civil & Environm Engn, 2104 Adelbert Rd,Bingham 206, Cleveland Hts, OH 44106 USA.
C3 University System of Ohio; Case Western Reserve University; University
   System of Ohio; Case Western Reserve University; University System of
   Ohio; Case Western Reserve University; University System of Ohio; Case
   Western Reserve University
RP Yu, X (corresponding author), Case Western Reserve Univ, Opal J & Richard A Vanderhoof Prof & Chair, Dept Civil & Environm Engn, 2104 Adelbert Rd,Bingham 206, Cleveland Hts, OH 44106 USA.
EM xxy21@case.edu
RI Fan, Xudong/AFC-3477-2022
FU US National Science Foundation [1638320]
FX The authors acknowledge the help provided by the Cleveland Water
   Department during the course of this study. The assistance of Mr. Alex
   Margevicius, the commissioner of CWD, is highly appreciated. The study
   is partially supported by the US National Science Foundation (No.
   1638320).
CR Almazroui M, 2021, EARTH SYST ENVIRON, V5, P1, DOI 10.1007/s41748-021-00199-5
   Almheiri Z, 2021, WATER RES, V205, DOI 10.1016/j.watres.2021.117680
   Almheiri Z, 2020, INT J GEOSYNTH GROUN, V6, DOI 10.1007/s40891-020-00237-8
   [Anonymous], 2022, CLIM DAT ONL
   ASCE, 2021, Rep. MSR-TR-2017-16
   Barton NA, 2019, WATER RES, V164, DOI 10.1016/j.watres.2019.114926
   Bruaset S, 2018, WATER-SUI, V10, DOI 10.3390/w10040411
   CLARK CM, 1971, J AM WATER WORKS ASS, V63, P424
   CRESSIE N, 1986, J AM STAT ASSOC, V81, P625, DOI 10.2307/2288990
   Danabasoglu G, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001916
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Fan XD, 2022, RELIAB ENG SYST SAFE, V219, DOI 10.1016/j.ress.2021.108185
   Fant C, 2020, ENERGY, V195, DOI 10.1016/j.energy.2020.116899
   Farewell T. S., 2012, SOIL CLIMATIC CAUSES
   Ghobadi F, 2021, WATER-SUI, V13, DOI 10.3390/w13050605
   Isaaks EH, 1989, INTRO APPL GEOSTATIS, P561
   Kakoudakis K, 2018, J HYDROINFORM, V20, P1191, DOI 10.2166/hydro.2018.152
   Khalkhali M, 2021, WATER RES, V207, DOI 10.1016/j.watres.2021.117830
   Khatri KB., 2020, Climate Change, Water Resources, and Potential Adaptation Strategies in Utah
   Kleijnen JPC, 2017, EUR J OPER RES, V256, P1, DOI 10.1016/j.ejor.2016.06.041
   Kleijnen JPC, 2009, EUR J OPER RES, V192, P707, DOI 10.1016/j.ejor.2007.10.013
   Laucelli D, 2014, J HYDROINFORM, V16, P743, DOI 10.2166/hydro.2013.082
   Ma XB, 2020, TRANSPORT RES A-POL, V141, P248, DOI 10.1016/j.tra.2020.09.011
   Murphy B. S., AGU FALL M ABSTR, pH51K
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Oliver MA, 2014, CATENA, V113, P56, DOI 10.1016/j.catena.2013.09.006
   Pietrucha-Urbanik K, 2015, ENG FAIL ANAL, V57, P137, DOI 10.1016/j.engfailanal.2015.07.036
   Pritchard O., 2013, SOIL CORROSIVITY UK
   Rajani B, 2003, J AM WATER WORKS ASS, V95, P110
   Rajani B, 2012, URBAN WATER J, V9, P67, DOI 10.1080/1573062X.2011.630093
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Robles-Velasco A, 2020, RELIAB ENG SYST SAFE, V196, DOI 10.1016/j.ress.2019.106754
   Ruchti Jr. G. F., 2017, AM SOC CIVIL ENG ASC
   Sadiq R, 2004, RELIAB ENG SYST SAFE, V86, P1, DOI 10.1016/j.ress.2003.12.007
   Scheidegger A, 2015, WATER RES, V83, P237, DOI 10.1016/j.watres.2015.06.027
   Singh A, 2013, BUILT ENVIRON PROJ A, V3, P105, DOI 10.1108/BEPAM-11-2011-0027
   Studzinski A., 2019, EKONOMIA SRODOWISKO
   Swart NC, 2019, GEOSCI MODEL DEV, V12, P4823, DOI 10.5194/gmd-12-4823-2019
   Tatebe H, 2019, GEOSCI MODEL DEV, V12, P2727, DOI 10.5194/gmd-12-2727-2019
   Theodossiou N, 2006, ENVIRON MODELL SOFTW, V21, P991, DOI 10.1016/j.envsoft.2005.05.001
   Tonkin MJ, 2002, GROUND WATER, V40, P185, DOI 10.1111/j.1745-6584.2002.tb02503.x
   Valis D, 2017, IN C IND ENG ENG MAN, P924, DOI 10.1109/IEEM.2017.8290027
   van Beers WCM, 2003, J OPER RES SOC, V54, P255, DOI 10.1057/palgrave.jors.2601492
   Wackernagel H., 2003, Ordinary kriging, Multivariate geostatistics: an introduction with applications
   Wasim M, 2018, ENVIRON CHEM LETT, V16, P861, DOI 10.1007/s10311-018-0731-x
   Wols B., 2016, EUR J TRANSP INFRAST, V16
   Wols BA, 2019, WATER SUPPLY, V19, P404, DOI 10.2166/ws.2018.085
   Wols BA, 2014, J WATER SUPPLY RES T, V63, P212, DOI 10.2166/aqua.2013.088
   Wols BA, 2014, COMPUT GEOTECH, V55, P240, DOI 10.1016/j.compgeo.2013.09.003
   Zhang XJ, 2021, J CLEAN PROD, V320, DOI 10.1016/j.jclepro.2021.128729
   Zuvala R, 2016, OPEN GEOSCI, V8, P275, DOI 10.1515/geo-2016-0023
   Zywiec J, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10090089
   Zywiec J, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11246886
NR 53
TC 5
Z9 5
U1 10
U2 28
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD MAY 5
PY 2023
VL 13
IS 1
AR 7349
DI 10.1038/s41598-023-33548-7
PG 21
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA L7QV1
UT WOS:001025177700001
PM 37147310
OA gold, Green Submitted, Green Published
DA 2025-01-10
ER

PT J
AU Huluka, AT
AF Huluka, Admassu Tesso
TI Is there any gender difference in environmental concern? Evidence from
   the smallholder farmers in Oromia regional state of Ethiopia
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE adaptation strategy; climate change; gender difference; vulnerability;
   work load
ID CLIMATE-CHANGE; COMMUNITIES; VULNERABILITIES
AB Understanding and closing the gender gap in environmental concern is the only way to identify and implement the best policies for the environment and sustainable development. This paper examines the gender difference in environmental concern in the case of Ethiopia, Oromia regional state. For this, 140 individuals are sampled from the study areas. The result reveals that women play triple role in their communities: reproductive role, productive role, and community roles. The result also shows that women are more likely to depend on natural resources and hence more likely vulnerable to climate change effects. However, there is no statistically significant difference between women and men in terms of climate change awareness and choice of climate change adaptation strategies. The estimated logit model predicts that women are 31.25 times more likely to participate in environmental conservation than men. Increase in the daily work load by 1 hour is more likely to reduce the individual participation in environmental conservation by 0.237 times. The result also shows that increase in livestock possession decreases individual participation in environmental conservations. A number of policy implications are drawn. There is a need to increase the incentive and distribution of improved cooking stoves and biogas so as to decrease the women work loads. There is also a need to engage civil society organizations, government institutions, and relevant women's networks to ensure inclusive approaches to the implementation of gender-responsive forest policies. Finally, the regional government is advised to organize gender-awareness seminars and workshops for forestry officials, including decision-makers and policy committee members.
C1 [Huluka, Admassu Tesso] Ethiopian Civil Serv Univ, Dev Studies, Addis Ababa, Ethiopia.
RP Huluka, AT (corresponding author), Ethiopian Civil Serv Univ, Dev Studies, Addis Ababa, Ethiopia.
EM admassutesso@gmail.com
OI Huluka, Admassu Tesso/0000-0002-1946-0977
CR Abbasi SS, 2019, ENVIRON DEV, V31, P34, DOI 10.1016/j.envdev.2018.12.005
   Akrofi Mark M, 2021, SN Soc Sci, V1, P198, DOI 10.1007/s43545-021-00207-5
   Ampaire EL, 2020, CLIMATIC CHANGE, V158, P43, DOI 10.1007/s10584-019-02447-0
   [Anonymous], 2004, Research Methodology
   Burke S., 2019, GENDER CLIMATE CHANG, P17
   Dhenge SA, 2022, ENVIRON DEV SUSTAIN, V24, P13841, DOI 10.1007/s10668-021-02015-6
   Djoudi H, 2011, INT FOREST REV, V13, P123, DOI 10.1505/146554811797406606
   Duchelle AE, 2014, WORLD DEV, V64, pS149, DOI 10.1016/j.worlddev.2014.03.001
   Ferdous J, 2019, ENVIRON DEV, V31, P88, DOI 10.1016/j.envdev.2018.10.003
   Gokmen A., 2021, J PEDAGOGICAL RES, V5, P243, DOI [https://doi.org/10.33902/JPR.2021167799, DOI 10.33902/JPR.2021167799]
   Goodrich CG, 2019, ENVIRON DEV, V31, P1, DOI 10.1016/j.envdev.2019.01.001
   Huluka AT, 2019, COGENT FOOD AGR, V5, DOI 10.1080/23311932.2019.1690829
   INGRAM V., 2016, GENDER FORESTS CLIMA
   Khandekar N, 2019, ENVIRON DEV, V31, P97, DOI 10.1016/j.envdev.2019.02.001
   Mazurana D, 2013, DISASTERS, V37, pS68, DOI 10.1111/disa.12013
   McCright AM, 2014, SOC NATUR RESOUR, V27, P1109, DOI 10.1080/08941920.2014.918235
   Mulugeta G, 2021, COGENT ECON FINANC, V9, DOI 10.1080/23322039.2021.1892927
   OECD, 2021, GENDER ENV BUILDING, DOI [10.1787/3d32ca39-en, DOI 10.1787/3D32CA39-EN]
   Perez C, 2015, GLOBAL ENVIRON CHANG, V34, P95, DOI 10.1016/j.gloenvcha.2015.06.003
   Raimi M., 2019, ECOLOGY CONSERVATION, V1, DOI DOI 10.19080/ECOA.2019.01.555558
   Sithole M, 2021, COGENT SOC SCI, V7, DOI 10.1080/23311886.2021.1909792
   Strapko N, 2016, SOC NATUR RESOUR, V29, P1015, DOI 10.1080/08941920.2016.1138563
   Sundström A, 2014, ENVIRON POLIT, V23, P1082, DOI 10.1080/09644016.2014.921462
   Supriya Akerkar A., 2022, GENDER OLDER PEOPLE
   Sweetman C., 2017, Gender and Development, V25, P353, DOI [10.1080/13552074.2017.1395138, DOI 10.1080/13552074.2017.1395138]
   Tesfaye S.S., 2017, J NATURAL SCI RES, V7, P8
   Tesso G., 2014, Asian Journal of Agricultural Extension, Economics and Sociology, V3, P690, DOI 10.9734/AJAEES/2014/9716
   Tibesigwa B., 2015, ENV DEP, V15, P1
   UN, 2019, DIFF IMP CLIM CHANG
   UN, 2021, AN DOC GEND ENV PREL
   Verbeek M., 2008, GUIDE MODERN ECONOME
   Villamor GB, 2014, MITIG ADAPT STRAT GL, V19, P733, DOI 10.1007/s11027-013-9478-7
   Xiao CY, 2015, ENVIRON BEHAV, V47, P17, DOI 10.1177/0013916513491571
NR 33
TC 2
Z9 2
U1 0
U2 11
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 31
PY 2022
VL 8
IS 1
AR 2103284
DI 10.1080/23311886.2022.2103284
PG 19
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA 3C8PT
UT WOS:000828880300001
OA gold
DA 2025-01-10
ER

PT J
AU Mugiyo, H
   Chimonyo, VGP
   Kunz, R
   Sibanda, M
   Nhamo, L
   Masemola, CR
   Modi, AT
   Mabhaudhi, T
AF Mugiyo, H.
   Chimonyo, V. G. P.
   Kunz, R.
   Sibanda, M.
   Nhamo, L.
   Masemola, C. Ramakgahlele
   Modi, A. T.
   Mabhaudhi, T.
TI Mapping the spatial distribution of underutilised crop species under
   climate change using the MaxEnt model: A case of KwaZulu-Natal, South
   Africa
SO CLIMATE SERVICES
LA English
DT Article
DE Food and nutrition security; Land suitability analysis; Machine-learning
   algorithms; Neglected and underutilised crop species
ID AQUACROP MODEL; FOOD SECURITY; WATER-USE; SORGHUM; DROUGHT; IRRIGATION;
   ADAPTATION; VALIDATION; IMPACTS; SYSTEM
AB Knowing the spatial and temporal suitability of neglected and underutilised crop species (NUS) is important for fitting them into marginal production areas and cropping systems under climate change. The current study used climate change scenarios to map the future distribution of selected NUS, namely, sorghum (Sorghum bicolor), cowpea (Vigna unguiculata), amaranth (Amaranthus) and taro (Colocasia esculenta) in the KwaZulu-Natal (KZN) province, South Africa. The future distribution of NUS was simulated using a maximum entropy (MaxEnt) model using regional circulation models (RCMs) from the CORDEX archive, each driven by a different global circulation model (GCM), for the years 2030 to 2070. The study showed an increase of 0.1-11.8% under highly suitable (S1), moderately suitable (S2), and marginally suitable (S3) for sorghum, cowpea, and amaranth growing areas from 2030 to 2070 across all RCPs. In contrast, the total highly suitable area for taro production is projected to decrease by 0.3-9.78% across all RCPs. The jack-knife tests of the MaxEnt model performed efficiently, with areas under the curve being more significant than 0.8. The study identified annual precipitation, length of the growing period, and minimum and maximum temperature as variables contributing significantly to model predictions. The developed maps indicate possible changes in the future suitability of NUS within the KZN province. Understanding the future distribution of NUS is useful for developing transformative climate change adaptation strategies that consider future crop distribution. It is recommended to develop regionally differen-tiated climate-smart agriculture production guidelines matched to spatial and temporal variability in crop suitability.
C1 [Mugiyo, H.; Chimonyo, V. G. P.; Nhamo, L.; Masemola, C. Ramakgahlele; Modi, A. T.; Mabhaudhi, T.] Univ KwaZulu Natal, Ctr Transformat Agr & Food Syst, Sch Agr Earth & Environm Sci, P Bag X01, ZA-3209 Pietermaritzburg, South Africa.
   [Chimonyo, V. G. P.] Int Maize & Wheat Improvement Ctr CIMMYT Zimbabwe, POB MP 163, Harare, Zimbabwe.
   [Kunz, R.] Univ KwaZulu Natal, Ctr Water Resources Res, Sch Agr Earth & Environm Sci, P Bag X01, Scottsville, South Africa.
   [Sibanda, M.] Univ Western Cape, Fac Arts, Dept Geog Environm Studies & Tourism, Bellville, South Africa.
   [Nhamo, L.] Water Res Commiss South Africa, 4 Daventry St, ZA-0081 Pretoria, South Africa.
   [Masemola, C. Ramakgahlele] CSIR, Precis Agr Grp, Pretoria, South Africa.
   [Mabhaudhi, T.] Int Water Management Inst IWMI GH, West Africa Reg Off, Accra, Ghana.
C3 University of Kwazulu Natal; University of Kwazulu Natal; University of
   the Western Cape; Council for Scientific & Industrial Research (CSIR) -
   South Africa
RP Mugiyo, H (corresponding author), Univ KwaZulu Natal, Ctr Transformat Agr & Food Syst, Sch Agr Earth & Environm Sci, P Bag X01, ZA-3209 Pietermaritzburg, South Africa.
EM mugiyoh@gmail.com; v.chimonyo@cgiar.org; kunzr@ukzn.ac.za;
   msibanda@uwc.ac.za; luxonn@wrc.org.za; modiat@ukzn.ac.za;
   mabhaudhi@ukzn.ac.za
RI chimonyo, vimbayi/AAM-6951-2020; Sibanda, Mxolisi/H-8151-2019;
   Mabhaudhi, Tafadzwanashe/AAF-2418-2019
OI Chimonyo, Vimbayi/0000-0001-9912-9848; Mabhaudhi,
   Tafadzwanashe/0000-0002-9323-8127; Masemola, Dr.
   Cecilia/0000-0003-2205-0634; Mugiyo, Hillary/0000-0002-2121-357X
FU Water Research Commission of South Africa [K5/2717//4]; Welcome Trust's
   Our Planet, Our Health Programme [205200/Z/16/Z]; SHEFS; URP
FX The authors would like to thank the Water Research Commission of South
   Africa for funding through WRC Project No. K5/2717//4 on "Developing a
   guideline for rainfed production of underutilised indig-enous crops and
   estimating green water use of indigenous crops based on available models
   within selected bio-climatic regions of South Af-rica", the uMngeni
   Resilience Project (URP, funded by the Adaptation Fund) and the
   Sustainable and Healthy Food Systems (SHEFS) Pro-gramme, supported
   through the Welcome Trust's Our Planet, Our Health Programme [grant
   number: 205200/Z/16/Z]. The SHEFS and URP support TM and ATM.
CR Akinola R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12083493
   Akpoti K, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136165
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   [Anonymous], 2011, PACKAGE KENDALL R PA
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Atoyebi JO., 2017, AM J FOOD NUTR, V5, P83, DOI [10.12691/ajfn-5-3-1, DOI 10.12691/AJFN-5-3-1]
   Austin M, 2007, ECOL MODEL, V200, P1, DOI 10.1016/j.ecolmodel.2006.07.005
   Bello ZA, 2017, AGR FOREST METEOROL, V247, P300, DOI 10.1016/j.agrformet.2017.08.003
   Bunn C, 2019, CLIM SERV, V16, DOI 10.1016/j.cliser.2019.100123
   Chapman S, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9daf
   Chemura A, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0229881
   Chersich MF, 2019, GLOBALIZATION HEALTH, V15, DOI 10.1186/s12992-019-0466-x
   Chibarabada TP, 2020, AGR FOREST METEOROL, V281, DOI 10.1016/j.agrformet.2019.107850
   Chimonyo VGP, 2016, AGR WATER MANAGE, V177, P317, DOI 10.1016/j.agwat.2016.08.021
   Chimonyo VGP, 2016, WATER SA, V42, P316
   Chivenge P, 2015, INT J ENV RES PUB HE, V12, P5685, DOI 10.3390/ijerph120605685
   Ciarlo JM, 2021, CLIM DYNAM, V57, P1403, DOI 10.1007/s00382-020-05400-5
   Coppola E., 2020, NEW SPATIALLY DISTRI, P4
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Dosio A, 2019, CLIM DYNAM, V53, P5833, DOI 10.1007/s00382-019-04900-3
   Du LT, 2013, INT J APPL EARTH OBS, V23, P245, DOI 10.1016/j.jag.2012.09.010
   Gao Y, 2021, LAND-BASEL, V10, DOI 10.3390/land10030295
   Ghile YB, 2008, WATER SA, V34, P315
   Gopichandran R., 2016, INTEGRATED APPROACH, P127
   Hadebe ST, 2017, J AGRON CROP SCI, V203, P177, DOI 10.1111/jac.12191
   Haile GG, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001502
   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]
   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
   Jiménez-Valverde A, 2012, GLOBAL ECOL BIOGEOGR, V21, P498, DOI 10.1111/j.1466-8238.2011.00683.x
   Kattsov V., 2013, REP INTERGOV PANEL C, DOI [10.1017/CBO9781107415324.020, DOI 10.1017/CBO9781107415324.020]
   Kogo BK, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9110727
   Kramer-Schadt S, 2013, DIVERS DISTRIB, V19, P1366, DOI 10.1111/ddi.12096
   Kruger AC, 2017, WATER SA, V43, P285, DOI 10.4314/wsa.v43i2.12
   Lawrence DM, 2012, J CLIMATE, V25, P2240, DOI 10.1175/JCLI-D-11-00103.1
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Mabhaudhi T, 2019, PLANTA, V250, P695, DOI 10.1007/s00425-019-03129-y
   Mabhaudhi T, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02143
   Mabhaudhi T, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091569
   Mabhaudhi T, 2014, AGR FOREST METEOROL, V192, P132, DOI 10.1016/j.agrformet.2014.03.013
   Macauley H., 2015, FEED AFRICA ACTION P
   Martynov A, 2013, CLIM DYNAM, V41, P2973, DOI 10.1007/s00382-013-1778-9
   Massawe F, 2016, TRENDS PLANT SCI, V21, P365, DOI 10.1016/j.tplants.2016.02.006
   Merow C, 2013, ECOGRAPHY, V36, P1058, DOI 10.1111/j.1600-0587.2013.07872.x
   Musie M, 2020, J HYDROL-REG STUD, V31, DOI 10.1016/j.ejrh.2020.100721
   Neely CB, 2018, AGRON J, V110, P1363, DOI 10.2134/agronj2017.05.0293
   Nissan H, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.579
   NPC, 2013, REGIONAL AGR POLICY
   Nyathi MK, 2018, AGR WATER MANAGE, V208, P107, DOI 10.1016/j.agwat.2018.06.012
   Pecchi M, 2019, ECOL MODEL, V411, DOI 10.1016/j.ecolmodel.2019.108817
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Reddy M., 2015, ASSESSING CLIMATE SU
   Rodrigues MA, 2015, J INSECT PHYSIOL, V81, P69, DOI 10.1016/j.jinsphys.2015.07.002
   Schulze R.E., 2008, WATER RES COMM PRETO, P276
   Senay SD, 2019, INSECTS, V10, DOI 10.3390/insects10030065
   Shabani F, 2016, J AGR SCI-CAMBRIDGE, V154, P175, DOI 10.1017/S0021859615000398
   Somodi I, 2017, ECOL EVOL, V7, P863, DOI 10.1002/ece3.2654
   Su P, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031580
   Taylor J.R. N., 2003, Enhancing Nutritional and Functional Properties for Africa Proceedings of a Workshop on the Proteins of Sorghum and Millet, P1
   Teichmann C, 2021, CLIM DYNAM, V57, P1269, DOI 10.1007/s00382-020-05494-x
   Thrasher B, 2012, HYDROL EARTH SYST SC, V16, P3309, DOI 10.5194/hess-16-3309-2012
   Tibesigwa B, 2017, ENVIRON DEV SUSTAIN, V19, P607, DOI 10.1007/s10668-015-9755-6
   Tom A., 2018, AFRICA EUROPE AGENDA
   van Proosdij ASJ, 2016, ECOGRAPHY, V39, P542, DOI 10.1111/ecog.01509
   Vautard R, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2019JD032344
   Verheye W., 2007, LAND USE LAND COVER, VII, P1
   Vinet L, 2011, J PHYS A-MATH THEOR, V44, DOI 10.1088/1751-8113/44/8/085201
   Walker NJ, 2006, PHYS CHEM EARTH, V31, P995, DOI 10.1016/j.pce.2006.08.012
   Wei B, 2018, GLOB ECOL CONSERV, V16, DOI 10.1016/j.gecco.2018.e00477
   Zhao Y, 2005, CLIM RES, V28, P109, DOI 10.3354/cr028109
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 71
TC 7
Z9 7
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 DEC
PY 2022
VL 28
AR 100330
DI 10.1016/j.cliser.2022.100330
EA OCT 2022
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 6Z9TG
UT WOS:000898109500006
DA 2025-01-10
ER

PT J
AU Lauffenburger, ZH
   Maneta, MP
   Cobourn, KM
   Jencso, K
   Chaffin, B
   Crockett, A
   Maxwell, B
   Kimball, JS
AF Lauffenburger, Zachary H.
   Maneta, Marco P.
   Cobourn, Kelly M.
   Jencso, Kelsey
   Chaffin, Brian
   Crockett, Anna
   Maxwell, Bruce
   Kimball, John S.
TI A hydro-economic analysis of end-of-century climate projections on
   agricultural land and water use, production, and revenues in the U.S.
   Northern Rockies and Great Plains
SO JOURNAL OF HYDROLOGY-REGIONAL STUDIES
LA English
DT Article
DE Water management; Irrigated agriculture; Rainfed agriculture; Climate
   variability; -Economic variability; Remote Sensing
ID WESTERN UNITED-STATES; PRIOR APPROPRIATION; CHANGE IMPACTS; SPRING
   WHEAT; RIVER-BASIN; IRRIGATION; DROUGHT; VARIABILITY; MODELS;
   REQUIREMENTS
AB Study region,Montana, U.S.A. Study focus Creating adaptation plans for projected imbalances in the western U.S. agricultural water demand-supply system are difficult given uncertainty in climate projections. It is critical to understand the uncertainties and vulnerabilities of the regional agricultural system and hydrologic impacts of climate change adaptation. We applied a stochastic, integrated hydro-economic model that simulates land and water allocations to analyse Montana farmer adaptations to a range of projected climate conditions and the response of the hydrologic system to those adaptations. Satellite observations of crop types, productivity, water use, and land allocation were used for model calibration. A suite of climate models was employed to quantify end-of-century impacts on streamflows, water and land use, production, and net revenues.New hydrological insights for the region Simulations showed summer streamflows were influenced by a state-wide 18.2% increase in agricultural water use. Decreased summer water availability with increased demand could have far reaching impacts downstream. Land use for irrigated crops increased 1.6%, while rainfed crops decreased 6.5%, implying state-level decrease in planted area. Even with increased land and water use for irrigated crops, production decreased 0.5%, while rainfed production decreased 2.7%. Corresponding losses in net revenues totaled 1.5% and 7.2% for irrigated and rainfed crops, respectively.Results highlight vulnerabilities of semi-arid agricultural regions and can aid water managers in sustaining agriculture in these regions.
C1 [Lauffenburger, Zachary H.; Maneta, Marco P.] Univ Montana, Dept Geosci, Missoula, MT 59812 USA.
   [Cobourn, Kelly M.] Virginia Tech, Dept Forest Resources & Environm Conservat, Blacksburg, VA USA.
   [Maneta, Marco P.; Jencso, Kelsey; Chaffin, Brian; Crockett, Anna; Kimball, John S.] Univ Montana, WA Franke Coll Forestry & Conservat, Missoula, MT USA.
   [Maxwell, Bruce] Montana State Univ, Land Resources & Environm Sci, Bozeman, MT USA.
C3 University of Montana System; University of Montana; Virginia
   Polytechnic Institute & State University; University of Montana System;
   University of Montana; Montana State University System; Montana State
   University Bozeman
RP Lauffenburger, ZH (corresponding author), Univ Montana, Dept Geosci, Missoula, MT 59812 USA.
EM zachary1.lauffenburger@umontana.edu; marco.maneta@mso.umt.edu;
   kellyc13@vt.edu; kelsey.jencso@umontana.edu; brian.chaffin@umontana.edu;
   anna.crockett@umconnect.umt.edu; bmax@montana.edu;
   john.kimball@umontana.edu
RI Maneta, Marco/A-3123-2009; Kimball, John/B-9234-2011; Jencso,
   Kelsey/G-3443-2011
OI Kimball, John S./0000-0002-5493-5878; Jencso, Kelsey/0000-0002-1772-2240
FU NASA EPSCoR [USDA-NIFA [2016 -67026-25067]]; MITRE Cropland Climate
   [80NSSC18M0025]; University of Montana BRIDGES program through funding
   from the National Science Foundation [1160380]; Montana Water Center
   through funding from the USGS 104b Water Resources Research program
   [DGE-1633831, OIA-1920938, OIA-1738857]
FX This work was conducted at the University of Montana with support from
   the following grants: USDA-NIFA [2016 -67026-25067] , NASA EPSCoR
   [80NSSC18M0025] , and MITRE Cropland Climate [1160380] . Zachary H.
   Lauffenburger acknowledges support from the University of Montana
   BRIDGES program through funding from the National Science Foundation
   [DGE-1633831, OIA-1920938 and OIA-1738857] ; and the Montana Water
   Center through funding from the USGS 104b Water Resources Research
   program.
CR Abatzoglou JT, 2013, INT J CLIMATOL, V33, P121, DOI 10.1002/joc.3413
   Anderson B., 2016, Heat Effects on Alfalfa
   Anderson MB, 2018, J ENVIRON POL PLAN, V20, P198, DOI 10.1080/1523908X.2017.1348286
   [Anonymous], 2017, CENS AGR
   [Anonymous], 2014, Montana State water plan 2015-a watershed approach, P84
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Averyt K, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035046
   Bales RC, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004387
   Bergstrom S., 2002, MATH MODELING WATERS, V7, P270, DOI [10.1061/(ASCE)1084-0699(2002)7:4(270), DOI 10.1061/(ASCE)1084-0699(2002)7:4(270)]
   Bergstrom S., 1973, NORD HYDROL, V4, P147, DOI DOI 10.2166/NH.1973.0012
   Brouwer C., 1989, IRRIGATION WATER MAN
   Brouwer R, 2008, ECOL ECON, V66, P16, DOI 10.1016/j.ecolecon.2008.02.009
   Brown TC, 2013, WATER RESOUR RES, V49, P1259, DOI 10.1002/wrcr.20076
   Chipanshi AC, 2003, CLIMATIC CHANGE, V61, P339, DOI 10.1023/B:CLIM.0000004551.55871.eb
   Colligan T., 2021, ARXIV PREPR ARXIV2 1
   Connell-Buck CR, 2011, CLIMATIC CHANGE, V109, P133, DOI 10.1007/s10584-011-0302-7
   Cross W.F., 2017, WATER CLIMATE CHANGE, P79, DOI [10.15788/M2WW8W, DOI 10.15788/M2WW8W]
   Cunge J. A., 1969, J HYDRAUL RES, V7, P205, DOI [DOI 10.1080/00221686909500264, 10.1080/00221686909500264]
   Das T, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049660
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   Edwards EC, 2018, J ECON HIST, V78, P1103, DOI 10.1017/S0022050718000608
   Esteve P, 2015, ECOL ECON, V120, P49, DOI 10.1016/j.ecolecon.2015.09.017
   Falloon P, 2010, SCI TOTAL ENVIRON, V408, P5667, DOI 10.1016/j.scitotenv.2009.05.002
   Ficklin DL, 2017, J GEOPHYS RES-ATMOS, V122, P2061, DOI 10.1002/2016JD025855
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Fischer G, 2007, TECHNOL FORECAST SOC, V74, P1083, DOI 10.1016/j.techfore.2006.05.021
   Fu Q, 2014, J GEOPHYS RES-ATMOS, V119, DOI 10.1002/2014JD021608
   Garnache C, 2017, EUR REV AGRIC ECON, V44, P363, DOI 10.1093/erae/jbx005
   Ghosh S, 2014, WATER RESOUR RES, V50, P6927, DOI 10.1002/2014WR015572
   Grantham TE, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/8/084012
   Greve P, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab5046
   Groves DG, 2008, WATER RESOUR RES, V44, DOI 10.1029/2008WR006964
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Gutzler DS, 2011, CLIM DYNAM, V37, P835, DOI 10.1007/s00382-010-0838-7
   Hanjra MA, 2009, AGR WATER MANAGE, V96, P1062, DOI 10.1016/j.agwat.2009.03.001
   Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037
   Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
   Hausfather Z, 2020, NATURE, V577, P618, DOI 10.1038/d41586-020-00177-3
   He MZ, 2019, REMOTE SENS ENVIRON, V230, DOI 10.1016/j.rse.2019.05.020
   He MZ, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10030372
   HOWITT RE, 1995, AM J AGR ECON, V77, P329, DOI 10.2307/1243543
   Howitt RE, 2012, ENVIRON MODELL SOFTW, V38, P244, DOI 10.1016/j.envsoft.2012.06.013
   Jukanti AK, 2016, FOOD SECUR, V8, P307, DOI 10.1007/s12571-016-0557-y
   Ketchum D, 2020, REMOTE SENS-BASEL, V12, DOI 10.3390/rs12142328
   Kim Y, 2014, AGR FOREST METEOROL, V194, P132, DOI 10.1016/j.agrformet.2014.04.001
   Lanning SP, 2010, CROP SCI, V50, P835, DOI 10.2135/cropsci2009.06.0314
   Lauffenburger ZH, 2018, AGR WATER MANAGE, V204, P69, DOI 10.1016/j.agwat.2018.03.022
   Li DY, 2017, GEOPHYS RES LETT, V44, P6163, DOI 10.1002/2017GL073551
   Lindstrom G, 1997, J HYDROL, V201, P272, DOI 10.1016/S0022-1694(97)00041-3
   Maneta MP, 2020, ENVIRON MODELL SOFTW, V134, DOI 10.1016/j.envsoft.2020.104836
   Maneta MP, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007534
   María MBM, 2020, WATER-SUI, V12, DOI 10.3390/w12071879
   Maxwell B., 2017, AGR CLIMATE CHANGE M, P197, DOI [10.15788/M2WW8W, DOI 10.15788/M2WW8W]
   McCabe GJ, 2005, J HYDROMETEOROL, V6, P476, DOI 10.1175/JHM428.1
   Medellín-Azuara J, 2011, CLIMATIC CHANGE, V109, P387, DOI 10.1007/s10584-011-0314-3
   Mérel P, 2011, AM J AGR ECON, V93, P936, DOI 10.1093/ajae/aar029
   MT DNRC Montana Department of Natural Resources and Conservation, 2017, WAT RES DIV MONT WAT
   Mu QZ, 2011, REMOTE SENS ENVIRON, V115, P1781, DOI 10.1016/j.rse.2011.02.019
   Paltasingh K.R., 2012, Indian Agricultural Economics Research Review, V25, P205
   Pathak TB, 2018, AGRONOMY-BASEL, V8, DOI 10.3390/agronomy8030025
   Pederson GT, 2011, J CLIMATE, V24, P1666, DOI 10.1175/2010JCLI3729.1
   Rauscher SA, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL034424
   Regonda SK, 2005, J CLIMATE, V18, P372, DOI 10.1175/JCLI-3272.1
   Roderick ML, 2015, WATER RESOUR RES, V51, P5450, DOI 10.1002/2015WR017031
   ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
   Rupp DE, 2013, J GEOPHYS RES-ATMOS, V118, P10884, DOI 10.1002/jgrd.50843
   Schaible GD, 2010, CAN J AGR ECON, V58, P433, DOI 10.1111/j.1744-7976.2010.01199.x
   Schauberger B, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms13931
   Scheff J, 2015, J CLIMATE, V28, P5583, DOI 10.1175/JCLI-D-14-00480.1
   Service S.C., 1972, National Engineering Handbook, Section 4: Hydrology
   Sherwood S, 2014, SCIENCE, V343, P737, DOI 10.1126/science.1247620
   Siderius C, 2016, ENVIRON SCI POLICY, V61, P14, DOI 10.1016/j.envsci.2016.03.007
   Silungwe FR, 2018, WATER-SUI, V10, DOI 10.3390/w10040356
   Silverman N., 2017, CLIMATE CHANGE MONTA, P9, DOI [10.15788/M2WW8W, DOI 10.15788/M2WW8W]
   Slaughter RA, 2010, WATER POLICY, V12, P305, DOI 10.2166/wp.2009.152
   Soil Survey Staff Natural Resources Conservation Service United States Department of Agriculture, SOIL SURV GEOGR SSUR
   Tack J, 2011, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8d27
   Tanaka SK, 2006, CLIMATIC CHANGE, V76, P361, DOI 10.1007/s10584-006-9079-5
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P322, DOI [10.1038/nclimate1744, 10.1038/NCLIMATE1744]
   Torres MD, 2012, ENVIRON DEV ECON, V17, P227, DOI 10.1017/S1355770X11000362
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104
   U.S. Bureau of Reclamation, 2016, AGR CROP COEFF
   Udall B, 2017, WATER RESOUR RES, V53, P2404, DOI 10.1002/2016WR019638
   [USDA NASS] U.S. Department of Agriculture National Agricultural Statistics Service, 2015, CROPL DAT LAYER PUBL
   USDA NASS] U.S. Department of Agriculture National Agricultural Statistics Service, 2010, AGR HDB, V628
   USGS, 1996, **DATA OBJECT**, DOI 10.5066/F7DF6PQS
   [USGS] U.S. Geological Survey, 2018, WAT US MONT
   Wallner M, 2013, J HYDROL, V494, P59, DOI 10.1016/j.jhydrol.2013.04.022
   Walter I., 2001, Watershed Mangagement Oper. Manag, V2000, P1, DOI 10.1061/40499(2000)126
   Ward FA, 2006, J WATER RES PL-ASCE, V132, P488, DOI 10.1061/(ASCE)0733-9496(2006)132:6(488)
   WARRICK AW, 1983, WATER RESOUR RES, V19, P181, DOI 10.1029/WR019i001p00181
   Wuebbles D. J., 2017, CLIMATE SCI SPECIAL, VI, DOI DOI 10.7930/J0J964J6
   Wurster P, 2020, AGR FOREST METEOROL, V280, DOI 10.1016/j.agrformet.2019.107778
   Xiao GJ, 2005, AGR WATER MANAGE, V74, P243, DOI 10.1016/j.agwat.2004.11.006
NR 95
TC 8
Z9 9
U1 3
U2 12
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 AUG
PY 2022
VL 42
AR 101127
DI 10.1016/j.ejrh.2022.101127
EA JUN 2022
PG 29
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA 2T6QR
UT WOS:000822597200001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Bedaso, Z
   Wu, SY
AF Bedaso, Zelalem
   Wu, Shuang-Ye
TI Linking precipitation and groundwater isotopes in Ethiopia -
   Implications from local meteoric water lines and isoscapes
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Isotope; D-excess; Isoscape; Groundwater; Recharge; Ethiopia
ID STABLE-ISOTOPES; SURFACE-WATER; AQUIFER SYSTEM; RIVER-BASIN; RECHARGE;
   HYDROGEN; SUMMER; AREA; VARIABILITY; DELTA-O-18
AB Sustainable water resource management requires a clear understanding of the spatial variation and seasonal recharge of groundwater and their links to local precipitation. A combined spatial analysis of the stable isotope composition of groundwater, surface water, and precipitation could help to understand groundwater sources and recharge processes. In this study, we collected 297 groundwater and stream water samples across Ethiopia and analyzed them for the oxygen and hydrogen isotope ratios. The isotope data were then interpolated into isoscapes for the entire country using the Cokriging method based on their spatial autocorrelation and covariance with elevation, annual mean precipitation, and temperature. These are the first groundwater and stream isoscapes for Ethiopia. By comparing the spatial isotopic distribution of the two water resources with local precipitation, we showed distinct groundwater recharge patterns in different regions in terms of their water sources, timing, seasonality, and the degree of surface and groundwater interaction. We found that the groundwater recharge was generally biased towards the main rainy season. However, in the relatively dry southeastern Ethiopia, groundwater could receive significant input from infrequent high-intensity rainfalls associated with tropical cyclones, but additional precipitation and groundwater isotope data are needed to further test our hypothesis in this data-poor region. Overall, this study has largely expanded the spatial coverage of water stable isotope data and filled significant data gaps in Ethiopia, which could be used to provide vital information in the arid and semi-arid parts of the country where water resources are critical in climate change adaptation strategies.
C1 [Bedaso, Zelalem; Wu, Shuang-Ye] Univ Dayton, Dept Geol, 300 Coll Pk, Dayton, OH 45469 USA.
C3 University System of Ohio; University of Dayton
RP Bedaso, Z (corresponding author), Univ Dayton, Dept Geol, 300 Coll Pk, Dayton, OH 45469 USA.
EM zbedaso1@udayton.edu
RI Bedaso, Zelalem/AAA-1716-2019
OI Bedaso, Zelalem/0000-0002-7844-3288
FU University of Dayton Research Council [IGRU02]
FX This project was partly supported by the University of Dayton Research
   Council Seed Grant #IGRU02. We would like to thank M. Yadeta for helping
   us during sample collection and sample export to the US. We also would
   like to thank C. Johnstone for helping with sample preparation and
   isotope analysis at the University of Dayton water isotope lab.
CR Abbott MD, 2000, J HYDROL, V228, P101, DOI 10.1016/S0022-1694(00)00149-9
   Abiye TA, 2015, S AFR J GEOL, V118, P109, DOI 10.2113/gssajg.118.2.109
   Adomako D, 2010, HYDROLOG SCI J, V55, P1405, DOI 10.1080/02626667.2010.527847
   Alemayehu T, 2017, ENVIRON EARTH SCI, V76, DOI 10.1007/s12665-017-6773-8
   Alemayehu T, 2011, CHEM ERDE-GEOCHEM, V71, P177, DOI 10.1016/j.chemer.2011.02.007
   Ayenew T, 2008, HYDROL PROCESS, V22, P1548, DOI 10.1002/hyp.6716
   Ayenew T, 2008, J AFR EARTH SCI, V52, P97, DOI 10.1016/j.jafrearsci.2008.06.006
   Bedaso Z, 2020, SCI TOTAL ENVIRON, V713, DOI 10.1016/j.scitotenv.2020.136631
   Bedaso ZK, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2019.124364
   Bedaso ZK, 2019, HYDROLOG SCI J, V64, P798, DOI 10.1080/02626667.2019.1606429
   Boretti A, 2019, NPJ CLEAN WATER, V2, DOI 10.1038/s41545-019-0039-9
   Bretzler A, 2011, J HYDROL, V402, P274, DOI 10.1016/j.jhydrol.2011.03.022
   Brown ME, 2017, CLIMATIC CHANGE, V142, P169, DOI 10.1007/s10584-017-1948-6
   Clark I.D., 1997, ENV ISOTOPES HYDROGE, P328
   CRAIG H, 1961, SCIENCE, V133, P1702, DOI 10.1126/science.133.3465.1702
   Craig H., 1963, NUCL GEOLOGY GEOTHER, P17
   DANSGAARD W, 1964, TELLUS, V16, P436
   de Wet Ruan F., 2020, SCI REP, V10
   Degefu W., 1987, SOME ASPECTS METEORO, P23
   Demlie M, 2008, J HYDROL, V353, P175, DOI 10.1016/j.jhydrol.2008.02.009
   Diro GT, 2009, INT J CLIMATOL, V29, P67, DOI 10.1002/joc.1699
   Döll P, 2012, J GEODYN, V59-60, P143, DOI 10.1016/j.jog.2011.05.001
   Fraser I, 2006, RAPID COMMUN MASS SP, V20, P1109, DOI 10.1002/rcm.2424
   Guan HD, 2013, J GEOPHYS RES-ATMOS, V118, P1123, DOI 10.1002/jgrd.50137
   Hamed Y, 2018, EURO-MEDITERR J ENVI, V3, DOI 10.1007/s41207-018-0067-8
   Hobson K.A., 2012, PLoS ONE, V7
   Hollins SE, 2018, SCI TOTAL ENVIRON, V645, P630, DOI 10.1016/j.scitotenv.2018.07.082
   Holman IP, 2012, HYDROGEOL J, V20, P1, DOI 10.1007/s10040-011-0805-3
   Jasechko S, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124015
   Jasechko S, 2014, WATER RESOUR RES, V50, P8845, DOI 10.1002/2014WR015809
   Jones IC, 2000, WATER RESOUR RES, V36, P1289, DOI 10.1029/1999WR900358
   Kebede S, 2013, GROUNDWATER ETHIOPIA
   Kebede S, 2008, HYDROGEOL J, V16, P55, DOI 10.1007/s10040-007-0210-0
   Kebede S, 2012, QUATERN INT, V257, P4, DOI 10.1016/j.quaint.2011.09.032
   Kelly JF, 2002, OECOLOGIA, V130, P216, DOI 10.1007/s004420100789
   Kendall C, 2001, HYDROL PROCESS, V15, P1363, DOI 10.1002/hyp.217
   Lawrence JR, 1996, GEOPHYS RES LETT, V23, P527, DOI 10.1029/96GL00425
   Lemma B, 2020, ISOT ENVIRON HEALT S, V56, P122, DOI [10.1080/10256016.2020.1717487, 10.1080/10256016.2020.1717487CrossMarkLogo]
   Levin NE, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD012166
   Li J, 2018, J GEOPHYS RES-ATMOS, V123, P6259, DOI 10.1029/2018JD028413
   Liu YP, 2014, J HYDROL, V519, P833, DOI 10.1016/j.jhydrol.2014.08.017
   MacDonald AM, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab282f
   Nicholson SE, 2018, B AM METEOROL SOC, V99, P337, DOI [10.1175/BAMS-D-16-0287.1, 10.1175/bams-d-16-0287.1]
   Nicholson SE, 2017, REV GEOPHYS, V55, P590, DOI 10.1002/2016RG000544
   Ross S.M., 2014, INTRODUCTION TO PROB
   ROZANSKI K, 1993, CLIMATE CHANGE CONTI
   Sharp Z., 2017, PRINCIPLES STABLE IS
   Sharp ZD, 2003, J ARCHAEOL SCI, V30, P1709, DOI 10.1016/S0305-4403(03)00071-2
   SKLASH MG, 1991, J HYDROL, V128, P257, DOI 10.1016/0022-1694(91)90141-4
   Stahl MO, 2020, HYDROL PROCESS, V34, P3506, DOI 10.1002/hyp.13832
   Tashie AM, 2016, WATER RESOUR RES, V52, P21, DOI 10.1002/2015WR017876
   Taylor RG, 2013, NAT CLIM CHANGE, V3, P374, DOI [10.1038/nclimate1731, 10.1038/NCLIMATE1731]
   Tekleab S, 2014, HYDROL EARTH SYST SC, V18, P2415, DOI 10.5194/hess-18-2415-2014
   Viste E, 2013, INT J CLIMATOL, V33, P3106, DOI 10.1002/joc.3566
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562
   Wassenaar LI, 2009, J GEOCHEM EXPLOR, V102, P123, DOI 10.1016/j.gexplo.2009.01.001
   West AG, 2014, J GEOCHEM EXPLOR, V145, P213, DOI 10.1016/j.gexplo.2014.06.009
   West JB, 2010, ISOSCAPES: UNDERSTANDING MOVEMENT, PATTERN, AND PROCESS ON EARTH THROUGH ISOTOPE MAPPING, P1, DOI 10.1007/978-90-481-3354-3
   White JWC, 1997, J GEOPHYS RES-OCEANS, V102, P26425, DOI 10.1029/97JC00162
   Williams AP, 2012, CLIM DYNAM, V39, P2307, DOI 10.1007/s00382-011-1222-y
   Winograd IJ, 1998, HYDROGEOL J, V6, P77, DOI 10.1007/s100400050135
   Woldemariyam F, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5777-0
   Wynn JG, 2010, J HUM EVOL, V59, P133, DOI 10.1016/j.jhevol.2010.01.002
   Yang WC, 2015, J CLIMATE, V28, P2385, DOI 10.1175/JCLI-D-14-00484.1
NR 65
TC 24
Z9 26
U1 12
U2 62
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD MAY
PY 2021
VL 596
AR 126074
DI 10.1016/j.jhydrol.2021.126074
EA FEB 2021
PG 13
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 RQ3PQ
UT WOS:000642334400049
DA 2025-01-10
ER

PT J
AU Huck, A
   Monstadt, J
   Driessen, P
AF Huck, Andreas
   Monstadt, Jochen
   Driessen, Peter
TI Mainstreaming resilience in urban policy making? Insights from
   Christchurch and Rotterdam
SO GEOFORUM
LA English
DT Article
DE Urban resilience; Mainstreaming; Christchurch; Rotterdam; 100RC
ID CLIMATE-CHANGE-ADAPTATION; GOVERNANCE; IMPLEMENTATION; PARTICIPATION;
   MULTILEVEL; CHALLENGE; LESSONS; ECOLOGY; RISK
AB Despite the burgeoning popularity of resilience as an urban policy narrative, we know little about how policymakers and planners approach the challenge of operationalising urban resilience or what problems they face. Although their ultimate goal is presumably to integrate resilience goals into sectoral policy and decision-making as well as to dissolve policy silos, the concept of mainstreaming has received relatively little attention in urban resilience literature so far. To address this void, we use the concept of mainstreaming to analyse the two cities of Christchurch and Rotterdam, both participants in the Rockefeller Foundation's 100 Resilient Cities Programme. We identify three main challenges that are apparent in both cities despite their contextual differences. The first is to make resilience a top priority for policymaking and planning because it competes with other urban development agendas for political commitment. Secondly, institutionalising cross-sector governance constitutes a challenge because participation in 100 Resilient Cities brings few incentives for institutional reforms. The third challenge - to actively engage decision-makers from public and private sectors - arises because urban policymakers and planners are not sufficiently equipped to convince them to invest additional resources in terms of personnel, time and money and to dissolve conflicts of interest between them. In the light of these challenges, we argue that participating in 100 Resilient Cities is a relevant but not sufficient first step towards mainstreaming urban resilience in Christchurch and Rotterdam. In addition to developing a resilience strategy and appointing a Chief Resilience Officer, formal changes (for instance in procedural law and national policymaking) are required, to address the challenges identified.
C1 [Huck, Andreas] Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
   [Huck, Andreas; Monstadt, Jochen] Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
   [Driessen, Peter] Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands.
C3 Technical University of Darmstadt; Utrecht University; Utrecht
   University
RP Huck, A (corresponding author), Tech Univ Darmstadt, Res Training Grp KRITIS, Dolivostr 15, D-64293 Darmstadt, Germany.
EM huck@kritis.tu-darmstadt.de; j.monstadt@uu.nl; p.driessen@uu.nl
RI Monstadt, Jochen/AAE-5440-2022; Driessen, Peter/M-6751-2013
OI Driessen, Peter/0000-0002-0724-6666; Monstadt,
   Jochen/0000-0001-9146-1571
FU German Research Foundation (DFG) within the Research Training Group
   KRITIS at TU Darmstadt [GRK 2222]
FX This work was supported by the German Research Foundation (DFG) within
   the Research Training Group KRITIS at TU Darmstadt [grant number GRK
   2222].
CR 100RC, 2016, RES ACT EARL INS CIT
   100RC, 2019, HOM 100 RES CIT
   Adelle C, 2013, ENVIRON POLICY GOV, V23, P1, DOI 10.1002/eet.1601
   Amin M., 2002, J INFRASTRUCTURE SYS, V8, P67, DOI DOI 10.1061/(ASCE)1076-0342(2002)8:3(67)
   Amir S, 2018, RISK ANAL, V38, P8, DOI 10.1111/risa.12816
   [Anonymous], 2007, GREAT CHRISTCH URB D
   [Anonymous], 2007, CRITICAL THINKING MO
   [Anonymous], 2017, REG ENVIRON CHANGE
   [Anonymous], 2012, RISK INTERDEPENDENCI
   [Anonymous], 2016, RES GREAT CHRISTCH H
   Arup and RF, 2015, CIT RES IND UND MEAS
   Baggio JA, 2015, ECOL SOC, V20, DOI 10.5751/ES-07484-200202
   Bauer A, 2014, GEOFORUM, V51, P121, DOI 10.1016/j.geoforum.2013.10.006
   Béné C, 2018, CLIM DEV, V10, P116, DOI 10.1080/17565529.2017.1301868
   Bennett B., 2014, Once in a lifetime: city building after disaster in Christchurch
   Berkowitz M., 2015, WHAT CHIEF RESILIENC
   Borger Guus J., 1998, Journal of Coastal Conservation, V4, P109, DOI 10.1007/BF02806502
   Bourgon J., 2009, Public Policy and Administration, V24, P309, DOI DOI 10.1177/0952076709103813
   Boyd E, 2015, URBAN STUD, V52, P1234, DOI 10.1177/0042098014527483
   Britton N.R., 2000, NAT HAZARDS REV, V1, P145
   Brouwer S, 2013, ENVIRON PLANN C, V31, P134, DOI 10.1068/c11134
   Brunetta G, 2019, RESILIENT CIT, P27, DOI 10.1007/978-3-319-76944-8_3
   Chandler David., 2017, The Routledge Handbook of International Resilience
   Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780
   Coaffee J, 2009, TERRORISM, RISK AND THE GLOBAL CITY: TOWARDS URBAN RESILIENCE, P1
   Coaffee J., 2016, URBAN RESILIENCE PLA
   Coaffee J, 2018, J CONTING CRISIS MAN, V26, P403, DOI 10.1111/1468-5973.12233
   Davoudi S., 2017, RESILIENCE MACHINE
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Bruijne M., 2007, J CONTINGENCIES CRIS, V15, P18, DOI [DOI 10.1111/J.1468-5973.2007.00501.X,ARXIV:HTTPS://ONLINELIBRARY.WILEY.COM/DOI/PDF/10.1111/J.1468-5973, 10.1111/j.1468-5973.2007.00501.x, DOI 10.1111/J.1468-5973.2007.00501.X]
   Dewulf A, 2015, J WATER CLIM CHANGE, V6, P1, DOI 10.2166/wcc.2014.000
   Dunn G, 2017, ENVIRON SCI POLICY, V73, P71, DOI 10.1016/j.envsci.2017.04.013
   Dunn-Cavelty M, 2009, INT J CRIT INFR PROT, V2, P179, DOI 10.1016/j.ijcip.2009.08.006
   Ernstson H, 2010, ECOL SOC, V15
   Evans JP, 2011, T I BRIT GEOGR, V36, P223, DOI 10.1111/j.1475-5661.2010.00420.x
   Fastenrath S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11030693
   Frazier TG, 2010, APPL GEOGR, V30, P506, DOI 10.1016/j.apgeog.2010.05.007
   Friend R, 2014, URBAN CLIM, V7, P6, DOI 10.1016/j.uclim.2013.08.001
   Fünfgeld H, 2012, PLAN THEORY PRACT, V13, P324
   Glaser J., 2013, Forum Qualitative Sozialforschung, V14, P1, DOI [10.17169/fqs-14.2.1886, DOI 10.17169/FQS-14.2.1886]
   Hassink R, 2010, CAMB J REG ECON SOC, V3, P45, DOI 10.1093/cjres/rsp033
   Hennink M., 2011, Qualitative research methods
   Hommels A., 2018, The Sociotechnical Constitution of Resilience: A New Perspective on Governing Risk and Disaster, P265, DOI [10.1007/978-981-10-8509-3_12, DOI 10.1007/978-981-10-8509-3_12]
   Huck A, 2019, ENVIRON SCI POLICY, V100, P211, DOI 10.1016/j.envsci.2019.05.008
   Huq S, 2004, IDS BULL-I DEV STUD, V35, P15, DOI 10.1111/j.1759-5436.2004.tb00129.x
   Hutter G, 2013, NAT HAZARDS, V67, P1, DOI 10.1007/s11069-011-9901-x
   Johnson C, 2014, ENVIRON URBAN, V26, P29, DOI 10.1177/0956247813518684
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Lebel L, 2006, ECOL SOC, V11
   Leitner H, 2018, URBAN GEOGR, V39, P1276, DOI 10.1080/02723638.2018.1446870
   Marana P, 2018, SAFETY SCI, V110, P39, DOI 10.1016/j.ssci.2017.12.011
   Massey E, 2013, REG ENVIRON CHANGE, V13, P341, DOI 10.1007/s10113-012-0341-2
   McConnell A., 2006, Journal of Contingencies and Crisis Management, V14, P59, DOI DOI 10.1111/J.1468-5973.2006.00482.X
   Meerow S, 2019, URBAN GEOGR, V40, P309, DOI 10.1080/02723638.2016.1206395
   Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011
   Mikulewicz M, 2019, GEOFORUM, V104, P267, DOI 10.1016/j.geoforum.2019.05.010
   Ministry of Infrastructure and the Environment, 2016, NAT AD STRAT
   Ministry of Infrastructure and Water Management, 2018, DELT PROGR 2019 CONT
   Monstadt J, 2019, URBAN STUD, V56, P2353, DOI 10.1177/0042098018808483
   Municipality of Rotterdam, 2016, Rotterdam resilience strategy: ready for the 21st century
   Normandin JM, 2019, RESILIENT CIT, P9, DOI 10.1007/978-3-319-76944-8_2
   NZ Government, 2019, NAT DIS RES STRAT RA
   Oels A, 2013, GEOFORUM, V45, P17, DOI 10.1016/j.geoforum.2011.09.007
   Pearce L, 2003, NAT HAZARDS, V28, P211, DOI 10.1023/A:1022917721797
   Prior T, 2014, J RISK RES, V17, P281, DOI 10.1080/13669877.2013.808686
   Rauken T., 2013, LOCAL ENVIRON, V20, P408
   Restemeyer B, 2017, J ENVIRON PLANN MAN, V60, P920, DOI 10.1080/09640568.2016.1189403
   Rotterdam Climate Initiative, 2013, ROTT CLIM CHANG AD S
   Saito N, 2013, MITIG ADAPT STRAT GL, V18, P825, DOI 10.1007/s11027-012-9392-4
   Sanchez AX, 2018, PALGR COMMUN, V4, DOI 10.1057/s41599-018-0074-z
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Spaans M, 2017, CITIES, V61, P109, DOI 10.1016/j.cities.2016.05.011
   Tschakert P, 2010, ECOL SOC, V15
   Uittenbroek C., 2014, How mainstream is mainstreaming?: The integration of climate adaptation into urban policy
   Uittenbroek C.J., 2015, J ENV PLANN POLICY M, V18, P161
   Uittenbroek CJ, 2014, ENVIRON POLIT, V23, P1043, DOI 10.1080/09644016.2014.920563
   Urban Institute, 2018, I URB RES MIDT MON E
   Valdes HM., 2013, INT J DISASTER RESIL, V4, P5, DOI [10.1108/17595901311299035, DOI 10.1108/17595901311299035]
   Vallance S, 2015, NAT HAZARDS, V75, P1287, DOI 10.1007/s11069-014-1361-7
   Vasileiadou E, 2013, ENVIRON POLIT, V22, P475, DOI 10.1080/09644016.2012.717376
   Vedeld T, 2016, NAT HAZARDS, V82, pS173, DOI 10.1007/s11069-015-1875-7
   Wakefield S, 2019, GEOFORUM, V107, P34, DOI 10.1016/j.geoforum.2019.10.016
   Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Watts RH, 2011, CHRISTCHURCH WATERWA
   Wejs A, 2014, ENVIRON POLIT, V23, P490, DOI 10.1080/09644016.2013.854967
   White I, 2014, ENVIRON PLANN C, V32, P934, DOI 10.1068/c12117
   Woodruff SC, 2022, J PLAN EDUC RES, V42, P64, DOI 10.1177/0739456X18801057
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
NR 89
TC 8
Z9 10
U1 3
U2 33
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0016-7185
EI 1872-9398
J9 GEOFORUM
JI Geoforum
PD DEC
PY 2020
VL 117
BP 194
EP 205
DI 10.1016/j.geoforum.2020.10.001
PG 12
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA OW5FL
UT WOS:000592912200021
OA Green Published
DA 2025-01-10
ER

PT J
AU Peng, LC
   Lien, WY
   Lin, YP
AF Peng, Li-Chun
   Lien, Wan-Yu
   Lin, Yu-Pin
TI How Experts' Opinions and Knowledge Affect Their Willingness to Pay for
   and Ranking of Hydrological Ecosystem Services
SO SUSTAINABILITY
LA English
DT Article
DE ecosystem services; willingness to pay; expert knowledge; prioritization
AB To ensure that ecosystem services are included in decision-making processes, many studies have relied on expert opinions and knowledge to identify, rank, and assess willingness to pay. In this study, expert opinions according to their expertise in hydrology, ecology, and sociology were surveyed and compared in terms of (1) recognition and ranking of hydrological ecosystem services (HESs) and (2) willingness to pay for HESs. The decision-making process was also investigated, specifically the rankings of factors in experts' plans for climate change adaptation. The experts' recognition of and opinions concerning HESs were positively correlated at various levels with intention to pay (i.e., whether respondents were willing to pay for HESs). Most experts recognized the importance of HESs and allocated high average scores of 9.15, 8.17, and 8.41 to water yield, sediment export, and nutrient export, respectively, using a scale from 1 (least important) to 10 (most important). The percentage of sociologists (100%) exhibited greater intention to pay than those of hydrologists (70%) and ecologists (93%), respectively. Experts prioritized environmental impact over economic cost in policy decision-making, and they differed significantly by field in terms of their rankings of the functional, economic, environmental, and social considerations of decision-making. The results revealed significant differences among experts in their decision-making preferences according to their fields of knowledge. The experts of a specific study field may be more willing to pay for that than for another. Greater intellectual exchange and analysis among experts should be implemented and diverse expert opinions should be solicited in policy decision-making.
C1 [Peng, Li-Chun; Lien, Wan-Yu; Lin, Yu-Pin] Natl Taiwan Univ, Dept Bioenvironm Syst Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
C3 National Taiwan University
RP Lin, YP (corresponding author), Natl Taiwan Univ, Dept Bioenvironm Syst Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
EM d03622004@ntu.edu.tw; wanyulien@gmail.com; yplin@ntu.edu.tw
OI Lin, Yu-Pin/0000-0003-1954-334X
FU Ministry of Science and Technology of Taiwan ROC [MOST
   103-2410-H-002-161-MY3, MOST 105-2621-M-002-003-MY3, MOST
   108-2621-M-002-013, MOST 109-2621-M-002-008-MY3]
FX This research was financially supported by the Ministry of Science and
   Technology of Taiwan ROC under Grant Nos. MOST 103-2410-H-002-161-MY3,
   MOST 105-2621-M-002-003-MY3, MOST 108-2621-M-002-013 and MOST
   109-2621-M-002-008-MY3.
CR Abell Robin., 2017, Beyond the source: The environmental, economic and community benefits of source water protection
   Ali MAS, 2020, SCI TOTAL ENVIRON, V734, DOI 10.1016/j.scitotenv.2020.139447
   Alvarez-Farizo B, 2002, ENERG POLICY, V30, P107, DOI 10.1016/S0301-4215(01)00063-5
   Armatas CA, 2018, ECOSYST SERV, V33, P1, DOI 10.1016/j.ecoser.2018.07.007
   Barbosa CCD, 2015, ECOL INDIC, V52, P430, DOI 10.1016/j.ecolind.2015.01.007
   Bhandari P, 2016, APPL GEOGR, V69, P25, DOI 10.1016/j.apgeog.2016.02.003
   Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758
   Burch C, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12030819
   Campagne CS, 2017, ECOL INDIC, V79, P63, DOI 10.1016/j.ecolind.2017.03.043
   Casado-Arzuaga I, 2013, J ENVIRON MANAGE, V129, P33, DOI 10.1016/j.jenvman.2013.05.059
   Castro AJ, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000671
   Chang H.H., 2010, J TOUR TRAVEL RES, V5, P57
   Chen YC, 2019, WASTE MANAGE RES, V37, P365, DOI 10.1177/0734242X19826327
   Chien Y.L., 2014, EC VALUE TAIWANS WET
   Chien YL, 2005, J ENVIRON ECON MANAG, V50, P362, DOI 10.1016/j.jeem.2005.01.002
   Chiueh Y.W., 2005, J REG STUD HUMANIT S, V8, P105
   Chu X, 2020, J ENVIRON MANAGE, V255, DOI 10.1016/j.jenvman.2019.109925
   Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002
   da Motta RS, 2018, ECOL ECON, V147, P333, DOI 10.1016/j.ecolecon.2018.01.032
   DAVIS RK, 1963, NAT RESOUR J, V3, P239
   Dou YH, 2017, ECOSYST SERV, V24, P79, DOI 10.1016/j.ecoser.2017.02.011
   Fan Zi-juan, 2017, Yingyong Shengtai Xuebao, V28, P500, DOI 10.13287/j.1001-9332.201702.002
   Friedman M, 1937, J AM STAT ASSOC, V32, P675, DOI 10.2307/2279372
   García-Llorente M, 2012, ENVIRON SCI POLICY, V19-20, P136, DOI 10.1016/j.envsci.2012.01.006
   Gilbert Milton, 1949, ECONOMETRICA, V17, P255, DOI DOI 10.2307/1907313
   Grilli G, 2020, FOREST POLICY ECON, V111, DOI 10.1016/j.forpol.2019.102039
   Grizzetti B, 2016, ENVIRON SCI POLICY, V61, P194, DOI 10.1016/j.envsci.2016.04.008
   Haab TC, 2013, APPL ECON PERSPECT P, V35, P593, DOI 10.1093/aepp/ppt029
   HANEMANN WM, 1991, AM ECON REV, V81, P635
   Harrison PA, 2018, ECOSYST SERV, V29, P481, DOI 10.1016/j.ecoser.2017.09.016
   Hökby S, 2003, ENVIRON RESOUR ECON, V26, P361, DOI 10.1023/B:EARE.0000003581.97411.75
   HOLMES JC, 1973, URBAN STUD, V10, P101, DOI 10.1080/00420987320080091
   HOLMES JC, 1972, URBAN STUD, V9, P179, DOI 10.1080/00420987220080211
   Hoshide AK, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5090098
   Hou Y, 2013, J ENVIRON MANAGE, V127, pS117, DOI 10.1016/j.jenvman.2012.12.002
   Hsieh C.M., 2015, J OUTDOOR RECREAT ST, V28, P63
   Hu MM, 2020, J ENVIRON MANAGE, V271, DOI 10.1016/j.jenvman.2020.110917
   Hynes S, 2020, ENVIRON SCI POLICY, V110, P60, DOI 10.1016/j.envsci.2020.05.006
   Jacobs S, 2015, ECOL MODEL, V295, P21, DOI 10.1016/j.ecolmodel.2014.08.024
   Jaligot R, 2019, ENVIRONMENTS, V6, DOI 10.3390/environments6080088
   Joo R.J., 2011, Public willingness to pay for ecosystem services: Water quality in the Triangle region, North Carolina
   Kenter JO, 2016, ECOSYST SERV, V21, P270, DOI 10.1016/j.ecoser.2016.06.006
   Khan I, 2019, SCI TOTAL ENVIRON, V646, P821, DOI 10.1016/j.scitotenv.2018.07.339
   Kowalska-Pyzalska A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051310
   Kuznets S, 1949, ECONOMETRICA, V17, P205, DOI 10.2307/1907310
   Lamarque P, 2011, REG ENVIRON CHANGE, V11, P791, DOI 10.1007/s10113-011-0214-0
   Lankia T, 2014, J FOREST ECON, V20, P141, DOI 10.1016/j.jfe.2014.04.001
   Markantonis Vassilis, 2010, Environment Development and Sustainability, V12, P807, DOI 10.1007/s10668-009-9225-0
   Martín-López B, 2007, BIOL CONSERV, V139, P67, DOI 10.1016/j.biocon.2007.06.005
   Mengist W, 2020, SCI TOTAL ENVIRON, V702, DOI 10.1016/j.scitotenv.2019.134581
   O'Hagan A, 2019, AM STAT, V73, P69, DOI 10.1080/00031305.2018.1518265
   Obeng EA, 2018, J ENVIRON MANAGE, V206, P458, DOI 10.1016/j.jenvman.2017.10.059
   Olsen SB, 2020, ENVIRON RESOUR ECON, V75, P351, DOI 10.1007/s10640-019-00370-7
   Pan Y, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12031217
   Pan Y, 2016, ECOSYST SERV, V21, P1, DOI 10.1016/j.ecoser.2016.07.011
   Peng L.C., 2017, J TAIWAN AGR ENG, V63, P22
   Peng LC, 2019, WATER-SUI, V11, DOI 10.3390/w11040867
   Qu M, 2017, LAND USE POLICY, V69, P204, DOI 10.1016/j.landusepol.2017.09.021
   Roche PK, 2019, ECOL INDIC, V106, DOI 10.1016/j.ecolind.2019.05.052
   Rockström J, 2009, NATURE, V461, P472, DOI 10.1038/461472a
   Rode J, 2017, ECOL ECON, V141, P213, DOI 10.1016/j.ecolecon.2017.05.028
   Roe B, 2001, ENERG POLICY, V29, P917, DOI 10.1016/S0301-4215(01)00006-4
   Rosenberger RS, 2012, J FOREST ECON, V18, P271, DOI 10.1016/j.jfe.2012.06.003
   Rothlisberger JD, 2012, ECOSYSTEMS, V15, P462, DOI 10.1007/s10021-012-9522-6
   Schaich E., 1984, Verteilungsfreie statistische Prufverfahren
   Schnettler B, 2008, J FOOD PROD MARK, V14, P76, DOI 10.1080/10454440801986389
   Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x
   Shaw D. G. Shaw D. G., 1999, Environmental Economics and Policy Studies, V2, P97
   Shen ZH, 2015, OCEAN COAST MANAGE, V103, P1, DOI 10.1016/j.ocecoaman.2014.10.016
   Stevens TH, 2000, ECOL ECON, V32, P63, DOI 10.1016/S0921-8009(99)00071-3
   Teng J. Y., 2012, Multiple criteria decision making: Methods and applications
   Tian YQ, 2020, J ENVIRON MANAGE, V260, DOI 10.1016/j.jenvman.2020.110140
   Turkelboom F, 2018, ECOSYST SERV, V29, P566, DOI 10.1016/j.ecoser.2017.10.011
   Turpie JK, 2003, ECOL ECON, V46, P199, DOI 10.1016/S0921-8009(03)00122-8
   Vardon M, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.101004
   Venkatachalam L, 2016, REV DEV CHANGE, V21, P89, DOI [10.1177/0972266120160105, DOI 10.1177/0972266120160105]
   Vihervaara Petteri, 2012, International Journal of Biodiversity Science Ecosystem Services & Management, V8, P169, DOI 10.1080/21513732.2012.686120
   Wakita K, 2019, ECOSYST SERV, V35, P130, DOI 10.1016/j.ecoser.2018.12.003
   Wang C.Y., 2007, EVALUATING VALUE INF
   Waylen KA, 2018, ECOSYST SERV, V29, P23, DOI 10.1016/j.ecoser.2017.11.007
   [杨开忠 Yang Kaizhong], 2002, [地球科学进展, Advance in Earth Sciences], V17, P420
   Zander KK, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064411
   [张志强 Zhang Zhiqiang], 2002, [生态学报, Acta Ecologica Sinica], V22, P885
   ZIMMERMAN DW, 1993, J EXP EDUC, V62, P75, DOI 10.1080/00220973.1993.9943832
   Zinia NJ, 2018, LANDSCAPE URBAN PLAN, V173, P23, DOI 10.1016/j.landurbplan.2018.01.008
NR 85
TC 0
Z9 0
U1 0
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2020
VL 12
IS 23
AR 10055
DI 10.3390/su122310055
PG 18
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 PD1LZ
UT WOS:000597456600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Seebauer, S
   Babcicky, P
AF Seebauer, Sebastian
   Babcicky, Philipp
TI (Almost) all Quiet Over One and a Half Years: A Longitudinal Study on
   Causality Between Key Determinants of Private Flood Mitigation
SO RISK ANALYSIS
LA English
DT Article
DE causality; climate change adaptation; private flood preparedness;
   protection motivation theory; risk awareness
ID RISK PERCEPTION; NUCLEAR-POWER; BEHAVIOR; MOTIVATION; PREPAREDNESS;
   HURRICANES; NECESSITY; ACCIDENT; PEOPLE; SAMPLE
AB Previous studies do not agree on the strengths and directions of the effects between risk appraisal, nonprotective, and protective responses in private flood mitigation. This may be due to the widespread use of cross-sectional survey designs, which infer causality from theoretical considerations alone. The present longitudinal study, in contrast, builds on the logic that cause precedes effect to confirm the direction of effects. Drawing on two-wave survey data from 554 flood-prone households in Austria, cross-lagged autoregressive models analyze pairwise combinations between risk perception, fear, five nonprotective responses (fatalism, denial, wishful thinking, reliance on social support, reliance on public protection), and seven specific protective responses (ranging from coordination with neighbors to structural modifications of the building). These factors show substantial temporal stability, in particular for nonprotective responses and fear. Only in very few instances can effects over time be confirmed statistically. Nonprotective responses emerge as the major drivers; foremost, denial, and reliance on public protection limit private flood mitigation. This overall null finding on causality may trace back to the 1.5 years' time span and the absence of any policy intervention or flood disaster between survey waves, and the high stability of protection motivation theory components. This finding puts into question the theoretically assumed causal relationships and the effects found in cross-sectional studies. The high trait-like stability requires perseverance in risk management efforts to change attitudes and capabilities. Finding nonprotective responses as key determinants in an overall picture of stability suggests that this factor merits a stronger role in future risk research.
C1 [Seebauer, Sebastian; Babcicky, Philipp] Joanneum Res Forsch Gesell mbh, LIFE, Inst Climate Energy & Soc, Waagner Biro Str 100, A-8020 Graz, Styria, Austria.
RP Seebauer, S (corresponding author), Joanneum Res Forsch Gesell mbh, LIFE, Inst Climate Energy & Soc, Waagner Biro Str 100, A-8020 Graz, Styria, Austria.
EM sebastian.seebauer@joanneum.at
OI Babcicky, Philipp/0000-0002-5616-4958
FU Austrian Climate and Energy Fund [B286284, B368603, B670283]
FX We thank area editor Michael Siegrist and an anonymous reviewer for
   valuable comments on an earlier version of the article. This research
   received financial support from the Austrian Climate and Energy Fund and
   was carried out within the ACRP program (project number: B286284,
   B368603, B670283).
CR [Anonymous], 2009, Amos 18 users guide
   [Anonymous], 2005, THESIS
   [Anonymous], 1997, HDB HLTH BEHAV RES 1
   Babcicky P, 2019, J RISK RES, V22, P1503, DOI 10.1080/13669877.2018.1485175
   Babcicky P, 2017, J RISK RES, V20, P1017, DOI 10.1080/13669877.2016.1147489
   Baker J, 2009, J RISK RES, V12, P59, DOI 10.1080/13669870802452798
   Bamberg S, 2017, J ENVIRON PSYCHOL, V54, P116, DOI 10.1016/j.jenvp.2017.08.001
   Becker G, 2014, J FLOOD RISK MANAG, V7, P16, DOI 10.1111/jfr3.12025
   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
   Bubeck P, 2020, RISK ANAL, V40, P2340, DOI 10.1111/risa.13548
   Bubeck P, 2018, RISK ANAL, V38, P1239, DOI 10.1111/risa.12938
   Bubeck P, 2013, RISK ANAL, V33, P760, DOI 10.1111/risa.12028
   BYRNE BM, 1989, PSYCHOL BULL, V105, P456, DOI 10.1037/0033-2909.105.3.456
   Byrne B, 2010, INTERNATIONAL HANDBOOK OF PSYCHOLOGY IN EDUCATION, P3
   Cross J.A., 1990, INT J MASS EMERGENCI, V8, P31
   Finkel S., 1995, SAGE U PAPER SERIES
   Grothmann T, 2006, NAT HAZARDS, V38, P101, DOI 10.1007/s11069-005-8604-6
   Hudson P, 2020, J RISK RES, V23, P642, DOI 10.1080/13669877.2019.1617339
   Hung LS, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0221217
   Kellens W, 2013, RISK ANAL, V33, P24, DOI 10.1111/j.1539-6924.2012.01844.x
   Kievik M, 2011, NAT HAZARDS, V59, P1475, DOI 10.1007/s11069-011-9845-1
   Kline R.B., 2012, HDB STRUCTURAL EQUAT, V111, P125
   LINDELL MK, 1990, RISK ANAL, V10, P393, DOI 10.1111/j.1539-6924.1990.tb00522.x
   Loewenstein GF, 2001, PSYCHOL BULL, V127, P267, DOI 10.1037//0033-2909.127.2.267
   MCDANIELS TL, 1988, RISK ANAL, V8, P457, DOI 10.1111/j.1539-6924.1988.tb00509.x
   Miceli R, 2008, J ENVIRON PSYCHOL, V28, P164, DOI 10.1016/j.jenvp.2007.10.006
   Milne S, 2000, J APPL SOC PSYCHOL, V30, P106, DOI 10.1111/j.1559-1816.2000.tb02308.x
   Nakayachi K, 2015, J RISK RES, V18, P156, DOI 10.1080/13669877.2013.875936
   Osberghaus D, 2021, RISK ANAL, V41, P944, DOI 10.1111/risa.13601
   Perlaviciute G, 2017, ENERGY RES SOC SCI, V29, P1, DOI 10.1016/j.erss.2017.04.012
   Poussin JK, 2014, ENVIRON SCI POLICY, V40, P69, DOI 10.1016/j.envsci.2014.01.013
   Richert C, 2017, ECOL ECON, V131, P342, DOI 10.1016/j.ecolecon.2016.09.014
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Seebauer S, 2017, ENVIRON BEHAV, V49, P603, DOI 10.1177/0013916516663796
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   Siegrist M, 2014, RISK ANAL, V34, P1376, DOI 10.1111/risa.12249
   Siegrist M, 2013, RISK ANAL, V33, P50, DOI 10.1111/j.1539-6924.2012.01941.x
   Steenkamp JBEM, 1998, J CONSUM RES, V25, P78, DOI 10.1086/209528
   Terpstra T, 2011, RISK ANAL, V31, P1658, DOI 10.1111/j.1539-6924.2011.01616.x
   Trumbo C, 2014, RISK ANAL, V34, P1013, DOI 10.1111/risa.12149
   Visschers VHM, 2013, RISK ANAL, V33, P333, DOI 10.1111/j.1539-6924.2012.01861.x
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Zaalberg R, 2009, RISK ANAL, V29, P1759, DOI 10.1111/j.1539-6924.2009.01316.x
NR 45
TC 19
Z9 19
U1 1
U2 17
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0272-4332
EI 1539-6924
J9 RISK ANAL
JI Risk Anal.
PD JUN
PY 2021
VL 41
IS 6
BP 958
EP 975
DI 10.1111/risa.13598
EA OCT 2020
PG 18
WC Public, Environmental & Occupational Health; Mathematics,
   Interdisciplinary Applications; Social Sciences, Mathematical Methods
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health; Mathematics; Mathematical
   Methods In Social Sciences
GA SY3ZT
UT WOS:000576539800001
PM 33037833
DA 2025-01-10
ER

PT J
AU Nagy, GJ
   Leal, W
   Azeiteiro, UM
   Heimfarth, J
   Verocai, JE
   Li, CL
AF Nagy, Gustavo J.
   Leal Filho, Walter
   Azeiteiro, Ulisses M.
   Heimfarth, Johanna
   Verocai, Jose E.
   Li, Chunlan
TI An Assessment of the Relationships between Extreme Weather Events,
   Vulnerability, and the Impacts on Human Wellbeing in Latin America
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE climate disasters; wellbeing; environmental health; climate change;
   vulnerability; climate change adaptation; socioeconomic determinants;
   geographical determinants; sustainable development; online survey
ID DISASTER RISK REDUCTION; CLIMATE-CHANGE; HEALTH VULNERABILITY; SENDAI
   FRAMEWORK; ADAPTATION; URUGUAY; CARE
AB Climate change and variability are known to have an influence on human wellbeing in a variety of ways. In Latin America, such forces are especially conspicuous, particularly in respect of extreme climatological, hydrological, and weather events (EWEs) and climate-sensitive disasters (CSDs). Consistent with the need to study further such connections, this paper presents an analysis of some of the vulnerabilities of environmental health issues and climate-related impacts that are focusing on EWEs and CSDs in Latin American countries. The research includes an analysis of the (i) human and socio-economic development; (ii) geographical and socio-economic determinants of vulnerability and adaptability of environmental health issues (exposure, sensitivity, and adaptive capacity); (iii) occurrence of CSDs from 1988 to 2017 and their direct impacts on human wellbeing (Total death and Affected people); (iv) an online survey on the perceptions of the effects of EWEs on human wellbeing in a sample of countries in the region; and (v) discussion of possible solutions. The socio-economic and development indices, and the International Disaster Database (EM-DAT) and Climate-Risk Index (CRI) disaster statistics suggest that the impacts of CSDs are primarily related to socio-economic determinants of human wellbeing and health inequalities. Also, >80% respondents to the survey say that the leading causes of climate-related human impacts are the lack of (i) public awareness; (ii) investment and (iii) preparedness. The paper concludes by adding some suggestions that show how countries in Latin America may better cope with the impacts of Climate-sensitive Disasters.
C1 [Nagy, Gustavo J.; Verocai, Jose E.] Univ Republica, Fac Ciencias, IECA, Montevideo 11400, Uruguay.
   [Leal Filho, Walter] Manchester Metropolitan Univ, Sch Sci & Environm, Chester St, Manchester M1 5GD, Lancs, England.
   [Leal Filho, Walter; Heimfarth, Johanna; Li, Chunlan] Hamburg Univ Appl Sci HAW, Fac Life Sci, Res & Transfer Ctr FTZ NK, Sustainable Dev & Climate Change Management FTZ N, Ulmenliet 20, D-21033 Hamburg, Germany.
   [Azeiteiro, Ulisses M.] Univ Aveiro, Dept Biol, P-3810193 Aveiro, Portugal.
   [Azeiteiro, Ulisses M.] Univ Aveiro, CESAM Ctr Environm & Marine Studies, P-3810193 Aveiro, Portugal.
   [Li, Chunlan] East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China.
C3 Universidad de la Republica, Uruguay; Manchester Metropolitan
   University; Universidade de Aveiro; Universidade de Aveiro; East China
   Normal University
RP Leal, W (corresponding author), Manchester Metropolitan Univ, Sch Sci & Environm, Chester St, Manchester M1 5GD, Lancs, England.; Leal, W (corresponding author), Hamburg Univ Appl Sci HAW, Fac Life Sci, Res & Transfer Ctr FTZ NK, Sustainable Dev & Climate Change Management FTZ N, Ulmenliet 20, D-21033 Hamburg, Germany.
EM gnagy@fcien.edu.uy; walter.leal2@haw-hamburg.de; ulisses@ua.pt;
   Johanna.Heimfarth@haw-hamburg.de; otolito@fcien.edu.uy; ulisses@ua.pt
RI Leal, Walter/ACX-9082-2022; li, chunlan/IUP-7784-2023; Azeiteiro,
   Ulisses/C-5933-2008; nagy, gustavo/G-8097-2017
OI Azeiteiro, Ulisses/0000-0002-5252-1700; Leal Filho,
   Walter/0000-0002-1241-5225; nagy, gustavo/0000-0002-8296-4465
CR Adebowale BA, 2014, AFR J SCI TECHNOL IN, V6, pV, DOI 10.1080/20421338.2015.1010774
   Aitsi-Selmi A, 2016, PREHOSP DISASTER MED, V31, P74, DOI 10.1017/S1049023X15005531
   Aitsi-Selmi A, 2015, B WORLD HEALTH ORGAN, V93, P362, DOI 10.2471/BLT.15.157362
   [Anonymous], 2016, LANCET GLOB HEALTH, V4, pE427, DOI 10.1016/S2214-109X(16)30109-7
   [Anonymous], 2008, Combler le fosse en une generation: instaurer l'equite en sante en agissant sur les determinants sociaux de la sante: rapport final de la Commission des Determinants sociaux de la Sante
   [Anonymous], 2017, LEGATUM PROSPERITY I
   [Anonymous], ND GAIN COUNTR IND
   [Anonymous], 2012, MANAGING RISKS EXTRE
   [Anonymous], 2009, COSTS DEV COUNTR AD
   [Anonymous], DES US COMP IND ASS
   [Anonymous], 2017, CLIM CHANG HLTH
   Aparicio-Effen M, 2018, CLIM CHANG MANAG, P241, DOI 10.1007/978-3-319-56946-8_15
   Banwell N, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040793
   Braveman PA, 2003, J HEALTH POPUL NUTR, V21, P181
   Butler CD, 2010, POSTGRAD MED J, V86, P230, DOI 10.1136/pgmj.2009.082727
   Cai WJ, 2014, NAT CLIM CHANGE, V4, P111, DOI [10.1038/nclimate2100, 10.1038/NCLIMATE2100]
   Climate-data.org, 2017, CLIM DAT CIT WORLDW
   Comision Economica para America Latina y el Caribe (CEPAL), 2017, PAN SOC AM LAT, P203
   Coral C, 2017, SYSTEMS-BASEL, V5, DOI 10.3390/systems5010020
   Coronel G., 2015, HDB CLIMATE CHANGE A, P1091, DOI DOI 10.1007/978-3-642-40455-9_113-1.2015
   Corvalan C., 2005, ECOSYSTEMS HUMAN WEL
   Davis CE, 2013, NEW ENGL J MED, V369, P94, DOI [10.1056/NEJMra1109341, 10.1056/NEJMc1305749]
   Department of Health and Human Services (USDHHS), 2018, HLTH PEOPL 2020
   Du YD, 2013, ADV CLIM CHANG RES, V4, P208, DOI 10.3724/SP.J.1248.2013.208
   Ebi KL, 2006, ENVIRON HEALTH PERSP, V114, P1930, DOI 10.1289/ehp.8430
   Ebi KL, 2016, WEATHER CLIM EXTREME, V11, P95, DOI 10.1016/j.wace.2015.10.001
   Eckstein D., 2018, GLOBAL CLIMATE INDEX
   Economic Commission for Latin America and the Caribbean (ECLAC), 2018, LCSES374 ECLAC
   Field C.B., 2014, Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change, P1132
   Filho WL, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14121600
   Franchini M, 2015, EUR J INTERN MED, V26, P1, DOI 10.1016/j.ejim.2014.12.008
   Garlati A., 2013, IDBTN490 DEP RES
   Guha-Sapir D., 2018, INT DIS DAT
   Haines A, 2006, PUBLIC HEALTH, V120, P585, DOI 10.1016/j.puhe.2006.01.002
   Hulme M, 2014, PROG PHYS GEOG, V38, P499, DOI 10.1177/0309133314538644
   Institute of Medicine, 2008, GLOB CLIM CHANG EXTR, DOI [10.17226/12435, DOI 10.17226/12435]
   Kawachi I, 2002, J EPIDEMIOL COMMUN H, V56, P647, DOI 10.1136/jech.56.9.647
   Leal W, 2018, ENVIRON SCI POLICY, V86, P29, DOI 10.1016/j.envsci.2018.05.004
   Leal W, 2018, MITIG ADAPT STRAT GL, V23, P579, DOI 10.1007/s11027-017-9750-3
   Leal W, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15020331
   Leal W, 2018, J CLEAN PROD, V177, P589, DOI 10.1016/j.jclepro.2017.12.144
   Leal W, 2018, J CLEAN PROD, V170, P269, DOI 10.1016/j.jclepro.2017.09.105
   Leal W, 2016, CLIM CHANG MANAG, pV
   Leal W, 2016, CLIM CHANG MANAG, P1, DOI 10.1007/978-3-319-24660-4_1
   Magrin GO, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1499
   Makoka D., 2005, Poverty and Vulnerability: An Interdisciplinary Approach
   McBreen J., 2016, REGIONAL ASSESSMENT
   Nagy GJ, 2016, CLIM CHANG MANAG, P475, DOI 10.1007/978-3-319-24660-4_27
   Nagy GJ., 2006, Report prepared for the Stern Review on the Economics of Climate Change
   National Environmental Health Association (NEHA), 2018, ENV HLTH DEF
   Neller A.H., 2009, ENCY LIFE SUPPORT SY, VII, P1
   Nisbet MC, 2009, ENVIRONMENT, V51, P12, DOI 10.3200/ENVT.51.2.12-23
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   Olausson U, 2011, ENVIRON COMMUN, V5, P281, DOI 10.1080/17524032.2011.585026
   Paavola J, 2017, ENVIRON HEALTH-GLOB, V16, P61, DOI 10.1186/s12940-017-0328-z
   PAHO/WHO, 2017, HLTH AM 2017
   Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709
   Thomas F, 2014, ENVIRON SCI POLICY, V44, P271, DOI 10.1016/j.envsci.2014.08.011
   United Nations, 2015, TRANSF OUR WORLD 203, P41
   Villamizar A, 2017, CLIM DEV, V9, P364, DOI 10.1080/17565529.2016.1146120
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   World Bank, 2018, GNI PPP INT
   Worldometers, 2017, COUNTR WORLD POP
   Yamamoto L, 2018, INT J CLIM CHANG STR, V10, P65, DOI 10.1108/IJCCSM-03-2017-0069
   Yuan XC, 2017, J CLEAN PROD, V166, P1169, DOI 10.1016/j.jclepro.2017.07.209
   Zhao XQ, 2011, J COMMUN, V61, P713, DOI 10.1111/j.1460-2466.2011.01563.x
NR 66
TC 33
Z9 39
U1 1
U2 33
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 SEP
PY 2018
VL 15
IS 9
AR 1802
DI 10.3390/ijerph15091802
PG 25
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 GV0PX
UT WOS:000445765600011
PM 30134614
OA Green Accepted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Chen, C
   Hellmann, J
   Berrang-Ford, L
   Noble, I
   Regan, P
AF Chen, Chen
   Hellmann, Jessica
   Berrang-Ford, Lea
   Noble, Ian
   Regan, Patrick
TI A global assessment of adaptation investment from the perspectives of
   equity and efficiency
SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE
LA English
DT Article
DE Adaptation Investment; Assessment; Climate change; Readiness;
   vulnerability
ID CLIMATE-CHANGE IMPACTS; FOREIGN DIRECT-INVESTMENT; DISASTER RISK
   REDUCTION; ADAPTIVE CAPACITY; NATIONAL-LEVEL; ABSORPTIVE-CAPACITY;
   WATER-RESOURCES; FOOD SECURITY; VULNERABILITY; INDICATORS
AB Equity and efficiency should be considered when allocating resources for climate change adaptation. More than a decade after the Least Developed Countries Fund approved adaptation funds for 18 countries in 2003, it is possible to take the stock of investment data and to test empirically whether equity and efficiency have been factored into adaptation investment decision-making. To evaluate equity, one must determine if resources were distributed to areas of greatest need. Vulnerability assessments provide information on the global distribution of the need for adaptation. To evaluate efficiency, one must compare cost and benefit of an investment. Although it is difficult to assess ex-ante the cost and benefit of investment strategies, it is possible to measure efficient use of expenditures with readiness assessment, as a metric of capacity to deploy adaptation resources. We used vulnerability and readiness measures of the Notre Dame Global Adaptation Initiative (ND-GAIN) Country Index as proxies of equity and efficiency. This article quantitatively interrogates-through the lens of public fund allocation-the roles of vulnerability and readiness in shaping adaptation investment decisions. Our findings suggest that countries facing increasing impacts from climate change have received more adaptation investments from international sources than countries with less vulnerability. Further, international investments also preferentially flow to countries that are more ready to deploy adaptation resources. Since the most vulnerable countries are likely to be less ready for investment, our findings support the efforts to improve the investment potential of the most vulnerable countries by investing first to enhance their readiness, in order to unlock adaptation solutions.
C1 [Chen, Chen; Regan, Patrick] Univ Notre Dame, Notre Dame Global Adaptat Initiat, Notre Dame, IN 46556 USA.
   [Chen, Chen] Univ Notre Dame, Notre Dame Initiat Global Dev, Notre Dame, IN 46556 USA.
   [Chen, Chen] 1400 East Angela Blvd, South Bend, IN 46617 USA.
   [Hellmann, Jessica] Univ Minnesota, Inst Environm, Minneapolis, MN USA.
   [Berrang-Ford, Lea] McGill Univ, Dept Geog, Montreal, PQ, Canada.
   [Noble, Ian] Australian Natl Univ, Climate Change Inst, Canberra, ACT, Australia.
   [Regan, Patrick] Univ Notre Dame, Dept Polit Sci, Notre Dame, IN 46556 USA.
C3 University of Notre Dame; University of Notre Dame; University of
   Minnesota System; University of Minnesota Twin Cities; McGill
   University; Australian National University; University of Notre Dame
RP Chen, C (corresponding author), Univ Notre Dame, Notre Dame Global Adaptat Initiat, Notre Dame, IN 46556 USA.; Chen, C (corresponding author), Univ Notre Dame, Notre Dame Initiat Global Dev, Notre Dame, IN 46556 USA.; Chen, C (corresponding author), 1400 East Angela Blvd, South Bend, IN 46617 USA.
EM cchen8@nd.edu
RI Ford, Lea/H-5965-2013
CR Aakre S, 2010, ENVIRON POLICY GOV, V20, P159, DOI 10.1002/eet.538
   Addison T., 2003, The new global determinants of FDI flows to developing countries: The importance of ICT and democratization
   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 WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   AF, 2014, READ PROGR AD FIN
   Agrawala S, 2004, IDS BULL-I DEV STUD, V35, P50, DOI 10.1111/j.1759-5436.2004.tb00134.x
   Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x
   [Anonymous], 2008, CLIMATE CHANGE HUMAN
   [Anonymous], 2011, CLIM CHANG TERR EFF
   [Anonymous], COUNTR LEND GROUPS D
   [Anonymous], 7663 WPS WORLD BANK
   [Anonymous], SHAP CLIM RES DEV FR
   [Anonymous], 1991, Handbook on Methods for Climate Impact Assessment and Adaptation Strategies
   Aversano-Dearborn M, 2011, REGIONAL CHALLENGES
   Balica SF, 2012, NAT HAZARDS, V64, P73, DOI 10.1007/s11069-012-0234-1
   Barr R, 2010, MITIG ADAPT STRAT GL, V15, P843, DOI 10.1007/s11027-010-9242-1
   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
   Bird NM, 2011, ODI BACKGROUND NOTE
   Blomstrom M, 2003, EC FOREIGRN DIRECT I
   Borensztein E, 1998, J INT ECON, V45, P115, DOI 10.1016/S0022-1996(97)00033-0
   Brenkert AL, 2005, CLIMATIC CHANGE, V72, P57, DOI 10.1007/s10584-005-5930-3
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Brooks N., 2005, ADAPTATION POLICY FR, P165
   Buchanan BG, 2012, INT REV FINANC ANAL, V21, P81, DOI 10.1016/j.irfa.2011.10.001
   Butt TA, 2005, CLIMATIC CHANGE, V68, P355, DOI 10.1007/s10584-005-6014-0
   Chen C., 2015, Country Index Technical Report
   CIF, 2015, PPCR PROGR PHAS 1 LE
   Cinner JE, 2012, GLOBAL ENVIRON CHANG, V22, P12, DOI 10.1016/j.gloenvcha.2011.09.018
   COP13, 2007, BAL ACT PLAN
   COP21, 2015, AD PAR AGR
   Cruce T.L., 2009, Adaptation planning - What U.S. states and localities are doing
   Cutter S.L., 2012, Hazards vulnerability and environmental justice
   DARA and the Climate Vulnerable Forum, 2012, CLIM VULN MON GUID C
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Djankov S., 2004, Doing business in 2004: Understanding regulation
   Donner SD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054006
   Engle NL, 2011, GLOBAL ENVIRON CHANG, V21, P647, DOI 10.1016/j.gloenvcha.2011.01.019
   European Commission, 2006, INV READ
   Farole T., 2012, Foreign firm characteristics, absorption capacity and the institutional framework: The role of mediating factors for foreign direct investment spillovers in low and middle-income countries
   Flamini V., 2009, The Determinants of Commercial Bank Profitability in Sub-Saharan Africa
   Fussel H-M, 2005, U CAL INT AREA STUD
   GCF, 2015, READ PROGR OV
   Girma S, 2005, OXFORD B ECON STAT, V67, P281, DOI 10.1111/j.1468-0084.2005.00120.x
   GIZ, 2013, READ CLIM FIN GIZS A
   Grasso M, 2010, GLOBAL ENVIRON CHANG, V20, P74, DOI 10.1016/j.gloenvcha.2009.10.006
   Hajat S, 2014, J EPIDEMIOL COMMUN H, V68, P641, DOI 10.1136/jech-2013-202449
   Halpern BS, 2012, NATURE, V488, P615, DOI 10.1038/nature11397
   Hay J., 2012, DISASTER RISK REDUCT
   Heritage Foundation, 2016, 2016 IND EC FREED ME
   IDA, 2007, IDAS PERF BAS ALL SY
   Inderberg T.H. kon., 2015, CLIMATE CHANGE ADAPT
   International Telecommunication Union, 2013, MEAS INF SOC REP
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kaufmann D, 2011, HAGUE J RULE LAW, V3, P220, DOI 10.1017/S1876404511200046
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   Klapper L., 2010, The impact of business environment reforms on new firm registration
   Klein RJT, 2010, CLIM DEV, V2, P203, DOI 10.3763/cdev.2010.0049
   Kreft S., 2015, GLOBAL CLIMATE RISK
   Krishnamurthy PK, 2014, GLOBAL ENVIRON CHANG, V25, P121, DOI 10.1016/j.gloenvcha.2013.11.004
   Lesk C, 2016, NATURE, V529, P84, DOI 10.1038/nature16467
   Lesnikowski AC, 2013, GLOBAL ENVIRON CHANG, V23, P1153, DOI 10.1016/j.gloenvcha.2013.04.008
   Lesnikowski A, 2016, NAT CLIM CHANGE, V6, P261, DOI [10.1038/NCLIMATE2863, 10.1038/nclimate2863]
   Lesnikowski AC, 2015, MITIG ADAPT STRAT GL, V20, P277, DOI 10.1007/s11027-013-9491-x
   Lindgren E, 2012, SCIENCE, V336, P418, DOI 10.1126/science.1215735
   Lindner M, 2010, FOREST ECOL MANAG, V259, P698, DOI 10.1016/j.foreco.2009.09.023
   Lobell DB, 2010, AGR FOREST METEOROL, V150, P1443, DOI 10.1016/j.agrformet.2010.07.008
   Margulis S, 2011, EC CLIM CHANG BRAZ C
   Mendelsohn R, 2000, CLIMATIC CHANGE, V45, P583, DOI 10.1023/A:1005507810350
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Metzger M. J, 2005, THESIS
   Meza FJ, 2008, AGR SYST, V98, P21, DOI 10.1016/j.agsy.2008.03.005
   Mina W, 2007, J MULTINATL FINANC M, V17, P336, DOI 10.1016/j.mulfin.2007.02.002
   Mostafa M, 2016, B ATOM SCI, V72, P396, DOI 10.1080/00963402.2016.1240480
   Munene M., 2023, Transboundary Climate and Adaptation Risks Governance
   Mutekwa V. T., 2009, Journal of Sustainable Development in Africa, V11, P237
   Naylor RL, 2007, P NATL ACAD SCI USA, V104, P7752, DOI 10.1073/pnas.0701825104
   ND-GAIN, 2015, MATR ND GAIN IND
   Nogués-Bravo D, 2007, GLOBAL ENVIRON CHANG, V17, P420, DOI 10.1016/j.gloenvcha.2006.11.007
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   Oregon Department of Transportation, 2014, CLIM CHANG VULN ASS
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Pant L.P., 2012, ICTS CLIM CHANGE DEV, P116
   Persson A, 2014, CLIM POLICY, V14, P488, DOI 10.1080/14693062.2013.879514
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Preston B., 2009, FRAMING VULNERABILIT
   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]
   Remling E, 2015, CLIM DEV, V7, P16, DOI 10.1080/17565529.2014.886992
   Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110
   Schipper Lisa., 2007, CLIMATE CHANGE ADAPT
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   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
   Stocker TF, 2013, CLIMATE CHANGE 2013
   Stockholm Environment Institute, 2008, FIN AD CLIM CHANG
   Suk JE, 2014, INT J ENV RES PUB HE, V11, P2218, DOI 10.3390/ijerph110202218
   Sullivan C, 2005, WATER SCI TECHNOL, V51, P69, DOI 10.2166/wst.2005.0111
   Surminski S, 2013, NAT CLIM CHANGE, V3, P943, DOI 10.1038/nclimate2040
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tol RSJ, 2007, GLOBAL ENVIRON CHANG, V17, P218, DOI 10.1016/j.gloenvcha.2006.08.001
   Tol RSJ, 2004, GLOBAL ENVIRON CHANG, V14, P259, DOI 10.1016/j.gloenvcha.2004.04.007
   Tubiello F.N., 2008, Integ. Assess. J, V8, P165
   Twomlow S, 2008, PHYS CHEM EARTH, V33, P780, DOI 10.1016/j.pce.2008.06.048
   UN FCCC, 2004, UN FRAM CONV CLIM CH
   UNEP, CLIM CHANG AD EC CLI
   United Nations, 2015, No.A/RES/70/1.
   Vandeweerd V., 2012, Readiness for climate finance: A framework for understanding what it means to be ready to use climate finance
   Vörösmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284
   Wheeler D., 2011, QUANTIFYING VULNERAB
   Wheeler T, 2013, SCIENCE, V341, P508, DOI 10.1126/science.1239402
   White L. L., 2014, CLIMATE CHANGE 2014
   WHO, 2014, CLIMATE CHANGE 2014
   YOHE G, 2006, INTEGRATED ASSESSMEN, V0006
   Yohe G, 2002, GLOBAL ENVIRON CHANG, V12, P25, DOI 10.1016/S0959-3780(01)00026-7
   Young B E., 2015, Guidelines for Using the NatureServe Climate Change Vulnerability Index
   Zahra SA, 2002, ACAD MANAGE REV, V27, P185, DOI 10.2307/4134351
NR 118
TC 37
Z9 38
U1 0
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 JAN
PY 2018
VL 23
IS 1
BP 101
EP 122
DI 10.1007/s11027-016-9731-y
PG 22
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA FS0PY
UT WOS:000419477400005
DA 2025-01-10
ER

PT J
AU Roco, L
   Poblete, D
   Meza, F
   Kerrigan, G
AF Roco, Lisandro
   Poblete, David
   Meza, Francisco
   Kerrigan, George
TI Farmers' Options to Address Water Scarcity in a Changing Climate: Case
   Studies from two Basins in Mediterranean Chile
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Agricultural production; Chile; Drought; Multinomial logit; Stressors;
   Water scarcity
ID SMALL-SCALE FARMERS; ADAPTATION STRATEGIES; ENVIRONMENTAL-CHANGE; LEVEL
   ADAPTATION; DROUGHT; VARIABILITY; ADOPTION; CONSERVATION; VULNERABILITY;
   AGRICULTURE
AB Irrigated agriculture in Mediterranean areas faces tremendous challenges because of its exposure to hydroclimatic variability, increasing competition for water from different sectors, and the possibility of a climatic change. In this context, efficient management of water resources emerges as a critical issue. This requires the adoption of technological innovations, investment in infrastructure, adequate institutional arrangements, and informed decision makers. To understand farmers' perceptions and their implementation of climate change adaptation strategies with regards to water management, primary information was captured in the Limari and Maule river basins in Chile. Farmers identified stressors for agriculture; climate change, droughts, and lack of water appeared as the most relevant stressors compared to others productive, economic, and institutional factors; revealing a rising relevance of climate related factors. While most producers perceived climate changes in recent years (92.9 %), a significant proportion (61.1 %) claim to have experienced drought, whereas only a fraction (31.9 %) have implemented a strategy to deal with this situation. Identified actions were classified in four groups: investments for water accumulation, modernization of irrigation systems, rationalization of water use, and partnership activities. Using a multinomial logit model these strategies were related to socioeconomic and productive characteristics. Results show that gender and farm size are relevant for investments, implementation and improvement of irrigation systems. For all the strategies described, access to weather information was a relevant element. The study provides empirical evidence of a recent increase in the importance assigned to climate factors by producers and adaptation options that can be supported by agricultural policy.
C1 [Roco, Lisandro] Univ Catolica Maule, Fac Agr & Forestry, Dept Forestry, POB 617,Ave San Miguel 3605, Talca, Chile.
   [Poblete, David] Univ Valparaiso, Sch Civil Engn, Valparaiso, Chile.
   [Meza, Francisco] Pontificia Univ Catolica Chile, Fac Agron & Ingn Forestal, Dept Ecosistemas & Medioambiente, Ctr Interdisciplinario Cambio Global, Santiago, Chile.
C3 Universidad Catolica del Maule; Universidad de Valparaiso; Pontificia
   Universidad Catolica de Chile
RP Roco, L (corresponding author), Univ Catolica Maule, Fac Agr & Forestry, Dept Forestry, POB 617,Ave San Miguel 3605, Talca, Chile.
EM lroco@ucm.cl
RI Roco, Lisandro/ABE-7011-2020; Poblete, David/GQY-9675-2022; Meza,
   Francisco/F-9297-2014
OI poblete, david/0000-0003-4465-5108; Meza, Francisco/0000-0002-9853-227X;
   Roco, Lisandro/0000-0002-6267-8461
FU project "Support system for decision making to reduce vulnerability in
   irrigated agriculture facing climate change and variability" [D10i1051]
FX This work was developed under the project "Support system for decision
   making to reduce vulnerability in irrigated agriculture facing climate
   change and variability", code No D10i1051, founded by FONDEF Chile and
   implemented by Centro Interdisciplinario de Cambio Global UC. The
   authors thank the farmers who answered the survey. The authors also
   thank the feedback obtained from Mrs. Melanie Oertel, The LACEEP 10+
   Workshop (Mexico, July 2015) and The Workshop on Water Scarcity of
   Exceed-Swindon Program (Argentine, September 2015).
CR ACEITUNO P, 1988, MON WEATHER REV, V116, P505, DOI 10.1175/1520-0493(1988)116<0505:OTFOTS>2.0.CO;2
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Alam K, 2015, AGR WATER MANAGE, V148, P196, DOI 10.1016/j.agwat.2014.10.011
   Ancapichún S, 2015, CIENC MAR, V41, P1
   [Anonymous], 2013, Climate-smart Agriculture: Sourcebook, P557
   Basu M., 2015, Water Resources and Rural Development, V5, P47, DOI DOI 10.1016/J.WRR.2015.07.001
   Berger T, 2014, J AGR ECON, V65, P323, DOI 10.1111/1477-9552.12045
   Bhattarai B, 2015, WORLD DEV, V70, P122, DOI 10.1016/j.worlddev.2015.01.003
   Bojovic D, 2015, J ENVIRON MANAGE, V157, P8, DOI 10.1016/j.jenvman.2015.04.001
   Bréchet T, 2013, ENVIRON RESOUR ECON, V55, P217, DOI 10.1007/s10640-012-9623-x
   Chilean Ministry of Public Works, 2012, ESTR NAC REC HIDR 20
   Clarvis MH, 2014, ENVIRON SCI POLICY, V43, P78, DOI 10.1016/j.envsci.2013.10.014
   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
   Davis George W., 1996, SCOPE, V55, P151
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   DGA, 2004, DIAGN CLAS CURS CUER, P145
   DGA, 2004, DIAGN CLAS CURS CUER
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   FAO, 2012, MARC ESTR MED PLAZ C
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finan TJ, 2001, CLIMATE RES, V19, P97, DOI 10.3354/cr019097
   de Jalón SG, 2014, REG ENVIRON CHANGE, V14, P1229, DOI 10.1007/s10113-013-0569-5
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gebrehiwot T, 2015, ENVIRON MANAGE, V55, P588, DOI 10.1007/s00267-014-0415-7
   Gebrehiwot T, 2013, ENVIRON MANAGE, V52, P29, DOI 10.1007/s00267-013-0039-3
   Giuliani E, 2013, RES POLICY, V42, P1406, DOI 10.1016/j.respol.2013.04.002
   Greene W., 2008, Econometric analysis
   Habiba U, 2012, INT J DISAST RISK RE, V1, P72, DOI 10.1016/j.ijdrr.2012.05.004
   Hageback J, 2005, CLIMATIC CHANGE, V72, P189, DOI 10.1007/s10584-005-5384-7
   INE, 2010, CIFRAS CENSO 2007
   Jara-Rojas R, 2012, AGR SYST, V110, P54, DOI 10.1016/j.agsy.2012.03.008
   Kiparsky M, 2012, ANNU REV ENV RESOUR, V37, P163, DOI 10.1146/annurev-environ-050311-093931
   Knowler D, 2007, FOOD POLICY, V32, P25, DOI 10.1016/j.foodpol.2006.01.003
   Lindoso DP, 2014, CLIMATIC CHANGE, V127, P93, DOI 10.1007/s10584-014-1116-1
   Arumí JL, 2013, P I CIVIL ENG-WAT M, V166, P231, DOI 10.1680/wama.12.00064
   Maddala G.S., 1987, Econometric Society Monographs
   Manandhar S, 2011, REG ENVIRON CHANGE, V11, P335, DOI 10.1007/s10113-010-0137-1
   Maraseni TN, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034006
   Mata L. J., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P799, DOI 10.1007/s11027-007-9100-y
   Miller A., 1976, WORLD SURVEY CLIMATO, P107
   Misra AK, 2013, MITIG ADAPT STRAT GL, V18, P673, DOI 10.1007/s11027-012-9381-7
   Mussetta P, 2015, REV FAC CIENC AGRAR, V47, P145
   Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348
   OECD, 2014, OECD RUR POL REV CHI, P210
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Pereira LS, 2009, AGR WATER MANAGE, V96, P723, DOI 10.1016/j.agwat.2008.10.013
   Pereira LS, 2012, AGR WATER MANAGE, V108, P39, DOI 10.1016/j.agwat.2011.08.022
   RAHM MR, 1984, AM J AGR ECON, V66, P405, DOI 10.2307/1240918
   Regional Government of Coquimbo, 2013, DIAGN PLAN MAESTR GE
   Reyes A, 2011, J DEV STUD, V47, P1851, DOI 10.1080/00220388.2011.579111
   Roco L, 2015, REG ENVIRON CHANGE, V15, P867, DOI 10.1007/s10113-014-0669-x
   Roco L, 2014, ENVIRON SCI POLICY, V44, P86, DOI 10.1016/j.envsci.2014.07.008
   Sidibé A, 2005, AGR WATER MANAGE, V71, P211, DOI 10.1016/j.agwat.2004.09.002
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   Sofoluwe NA, 2011, AFR J AGR RES, V6, P4789
   Tambo JA, 2012, MITIG ADAPT STRAT GL, V17, P277, DOI 10.1007/s11027-011-9325-7
   Teshome A, 2016, ENVIRON MANAGE, V57, P620, DOI 10.1007/s00267-015-0635-5
   Toledo R, 2011, CHIL J AGR RES, V71, P114, DOI 10.4067/S0718-58392011000100014
   Torres R, 2015, GEOFORUM, V60, P107, DOI 10.1016/j.geoforum.2014.12.013
   Urrutia RB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009562
   Valdés-Pineda R, 2014, J HYDROL, V519, P2538, DOI 10.1016/j.jhydrol.2014.04.016
   Vicuna S, 2014, WATER INT, V39, P620, DOI 10.1080/02508060.2014.945068
   Vicuña S, 2011, CLIMATIC CHANGE, V105, P469, DOI 10.1007/s10584-010-9888-4
   Wang XJ, 2016, MITIG ADAPT STRAT GL, V21, P81, DOI 10.1007/s11027-014-9571-6
   Zilberman D, 2012, ANNU REV RESOUR ECON, V4, P27, DOI 10.1146/annurev-resource-083110-115954
   Zorom M, 2013, AGR SYST, V116, P7, DOI 10.1016/j.agsy.2012.11.004
   ,, 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 69
TC 27
Z9 31
U1 6
U2 97
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 2016
VL 58
IS 6
BP 958
EP 971
DI 10.1007/s00267-016-0759-2
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EB3MQ
UT WOS:000387269300003
PM 27665616
DA 2025-01-10
ER

PT J
AU Jim, CY
AF Jim, C. Y.
TI Greenwall classification and critical design-management assessments
SO ECOLOGICAL ENGINEERING
LA English
DT Article
DE greenwall classification; greenwall design; greenwall management;
   Climber greenwall; Herb-shrub greenwall; Training system
ID PLANT-COVERED WALLS; THERMAL PERFORMANCE; ENERGY PERFORMANCE;
   HEAT-ISLAND; LIVING WALLS; TEMPERATURE; BUILDINGS; FACADES; SYSTEMS;
   IMPACT
AB greenwall research can promote wider applications in cities to contribute to climate-change adaptation and ameliorate the urban heat island effect. The accumulated knowledge and experience can be organized and assessed to foster further research and better practise. Two greenwall types provide the analytic framework based on plant growth form as the overarching criterion, namely the mechanically-dependent climber (CGW) and mechanically-independent herb-shrub (HGW). The intrinsic and extrinsic wall factors, subsumed under structural, surface, dimension, geometry, location, and ambience, determine the vertical-habitat foundation to receive vegetation. The comprehensive greenwall design factors provide a structured assessment. CGW has four design factors, including climbing, air gap, substrate, and vegetation. The more elaborate HGW has five design factors, including substrate, container, air gap, water-nutrient, and vegetation. With justifications related to existing state of classification and terminology, a triple-criteria greenwall classification scheme is proposed. Adopting the key criteria of training-system and wall toe substrate, CGW are split into 16 subtypes. For HGW, the substrate-system and elevated-substrate criteria identify 8 subtypes. The representative CGW and HGW subtypes are depicted in concise diagrams. The systematic classification can inform greenwall designers to determine and plan for the preferred subtype. The pros and cons of CGW and HGW are compared based on 35 key designs and management issues to optimize matching greenwall choice with expectation, preference, and site potentials and limitations. The findings provide practical hints to enhance greenwall management. The greenwall nomenclature package is recommended to facilitate scientific communication. (C) 2015 Elsevier B.V. All rights reserved.
C1 Univ Hong Kong, Dept Geog, Hong Kong, Hong Kong, Peoples R China.
C3 University of Hong Kong
RP Jim, CY (corresponding author), Univ Hong Kong, Dept Geog, Pokfulam Rd, Hong Kong, Hong Kong, Peoples R China.
EM hragjcy@hku.hk
RI Jim, CY/O-1025-2019
OI Jim, C.Y./0000-0003-4052-8363
FU Dr. Stanley Ho Alumni Challenge Fund; Matching Fund of the University
   Grants Committee
FX The research grant supports kindly provided by the Dr. Stanley Ho Alumni
   Challenge Fund and the Matching Fund of the University Grants Committee
   are gratefully acknowledged.
CR Akbari H, 2005, ENERG POLICY, V33, P721, DOI 10.1016/j.enpol.2003.10.001
   Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   Ojembarrena JA, 2013, J ARCHIT ENG, V19, P256, DOI 10.1061/(ASCE)AE.1943-5568.0000059
   [Anonymous], 2014, LANDSC URBAN PLAN
   [Anonymous], 2004, WALLS PAVEMENTS
   [Anonymous], 2002, GROWING MEDIA ORNAME
   Bass Brad., 2007, Green roofs and green walls
   Baumann R., 1986, ANTHOS, V1, P22
   Berghage R.D, 2009, PUBLICATION NO600 R
   Bolton C, 2014, BUILD ENVIRON, V80, P32, DOI 10.1016/j.buildenv.2014.05.020
   Brenneisen Stephan, 2006, Urban Habitats, V4, P27
   Burés S, 2013, ACTA HORTIC, V1013, P109
   Burras J.K., 1994, MANUAL CLIMBERS WALL
   Bussell WT, 2004, NEW ZEAL J CROP HORT, V32, P29, DOI 10.1080/01140671.2004.9514277
   Cameron RWF, 2014, BUILD ENVIRON, V73, P198, DOI 10.1016/j.buildenv.2013.12.005
   Castleton HF, 2010, ENERG BUILDINGS, V42, P1582, DOI 10.1016/j.enbuild.2010.05.004
   Catita C, 2014, COMPUT GEOSCI-UK, V66, P1, DOI 10.1016/j.cageo.2014.01.002
   Chen Q., 2013, INT J ENV SUSTAIN, V9, P67
   Day AR., 1999, Building Services Engineering Research and Technology, V20, P173
   Eumorfopoulo EA, 2009, BUILD ENVIRON, V44, P1024, DOI 10.1016/j.buildenv.2008.07.004
   Eumorfopoulou E, 1998, ENERG BUILDINGS, V27, P29, DOI 10.1016/S0378-7788(97)00023-6
   Fell D., 2011, VERTICAL GARDENING
   Florides GA, 2002, APPL ENERG, V73, P299, DOI 10.1016/S0306-2619(02)00119-8
   Francis RA, 2011, J ENVIRON MANAGE, V92, P1429, DOI 10.1016/j.jenvman.2011.01.012
   Franz-Vasdeki J., 2011, NATURE CLIMATE CHANG
   Gentry AH, 1991, BIOL VINES, P3, DOI DOI 10.1017/CBO9780511897658.003
   Haggag M, 2014, ENERG BUILDINGS, V82, P668, DOI 10.1016/j.enbuild.2014.07.087
   Hall JM, 2012, LANDSCAPE URBAN PLAN, V104, P410, DOI 10.1016/j.landurbplan.2011.11.015
   Hendry A. W., 2001, MASONRY WALL CONSERV
   Hergaty EE, 1991, BIOL VINES, P357, DOI DOI 10.1017/CBO9780511897658.015
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Ihara T, 2008, APPL ENERG, V85, P12, DOI 10.1016/j.apenergy.2007.06.012
   Jaafar B, 2013, PROCD SOC BEHV, V105, P558, DOI 10.1016/j.sbspro.2013.11.059
   Jaffal I, 2012, RENEW ENERG, V43, P157, DOI 10.1016/j.renene.2011.12.004
   Jim CY, 2014, URBAN ECOSYST, V17, P405, DOI 10.1007/s11252-013-0322-3
   Jim CY, 2013, ECOL ENG, V57, P324, DOI 10.1016/j.ecoleng.2013.04.039
   Jim CY, 2012, ECOL ENG, V47, P9, DOI 10.1016/j.ecoleng.2012.06.020
   Jim CY, 2011, ECOL ENG, V37, P1112, DOI 10.1016/j.ecoleng.2011.02.005
   Jones HP, 2012, NAT CLIM CHANGE, V2, P504, DOI 10.1038/NCLIMATE1463
   Knepper C.A., 2000, J PROPERTY MANAGE, V65, P36
   Koehler Manfred, 2008, Urban Ecosystems, V11, P423, DOI 10.1007/s11252-008-0063-x
   Kohler M., 2004, INT GREEN ROOF C
   Koyama T, 2014, ECOL ENG, V70, P217, DOI 10.1016/j.ecoleng.2014.05.026
   Kunzig R., 2011, NATL GEOGR, V219, P32
   Li CB, 2014, APPL ENERG, V117, P149, DOI 10.1016/j.apenergy.2013.11.057
   Maher M, 2008, SOILLESS CULTURE: THEORY AND PRACTICE, P459, DOI 10.1016/B978-044452975-6.50013-7
   Malys L, 2014, BUILD ENVIRON, V73, P187, DOI 10.1016/j.buildenv.2013.12.012
   Mathey J, 2011, LOCAL SUSTAIN, V1, P479, DOI 10.1007/978-94-007-0785-6_47
   Mazzali U, 2013, BUILD ENVIRON, V64, P57, DOI 10.1016/j.buildenv.2013.03.005
   Millward AA, 2014, ENVIRON MANAGE, V53, P1043, DOI 10.1007/s00267-014-0260-8
   Nadia S, 2013, ENRGY PROCED, V36, P995, DOI 10.1016/j.egypro.2013.07.113
   Olivieri F, 2014, BUILD ENVIRON, V77, P61, DOI 10.1016/j.buildenv.2014.03.019
   Olivieri F., 2012, PLEA 2012 28 C OPP L
   Papadopoulos AP, 2008, SOILLESS CULTURE: THEORY AND PRACTICE, P505, DOI 10.1016/B978-044452975-6.50014-9
   Parsons K., 2003, EFFECTS HOT MODERATE, V2nd
   Peng LLH, 2013, ENERGIES, V6, P598, DOI 10.3390/en6020598
   Pérez G, 2014, RENEW SUST ENERG REV, V39, P139, DOI 10.1016/j.rser.2014.07.055
   Pérez G, 2011, APPL ENERG, V88, P4854, DOI 10.1016/j.apenergy.2011.06.032
   Perini K., 2013, BUILD ENVIRON, V46, P2287
   Putz FE, 1991, BIOL VINES
   Raviv M, 2008, SOILLESS CULTURE: THEORY AND PRACTICE, P1
   Rowe NP, 2006, ECOLOGY AND BIOMECHANICS, P35
   Salas MC, 2010, ACTA HORTIC, V881, P421
   Salas MC, 2012, ACTA HORTIC, V937, P1153
   Santamouris M, 2014, SOL ENERGY, V103, P682, DOI 10.1016/j.solener.2012.07.003
   Scarpa M, 2014, ENERG BUILDINGS, V79, P155, DOI 10.1016/j.enbuild.2014.04.014
   Simmons Mark T., 2008, Urban Ecosystems, V11, P339, DOI 10.1007/s11252-008-0069-4
   Sitta V., 1983, LANDSCAPE AUSTR, V4, P277
   Skinner C. L., 2006, URBAN POLICY RES, V24, P355, DOI DOI 10.1080/08111140600876976
   Smith C, 2008, ENERG POLICY, V36, P4558, DOI 10.1016/j.enpol.2008.09.011
   STAV Y., 2012, The Sustainable City VII : Urban Regeneration and Sustainability, P489, DOI DOI 10.2495/SC120411
   Sunakorn P, 2011, PROCEDIA ENGINEER, V21, P34, DOI 10.1016/j.proeng.2011.11.1984
   Svendsen E., 2012, Cities Environ, V5, P1, DOI [DOI 10.15365/CATE.5132012, 10.15365/cate.5132012]
   Teemusk A, 2010, ECOL ENG, V36, P91, DOI 10.1016/j.ecoleng.2009.09.009
   Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001
   Urrestarazu M, 2012, J FOOD AGRIC ENVIRON, V10, P792
   Verba Volant Ltd, 2007, VERT GARD
   Villiger J., 1986, ANTHOS, V1, P1
   White, US Patent, Patent No. 2113523
   Witter G., 1986, ANTHOS, V1, P29
   Wong NH, 2010, BUILD ENVIRON, V45, P663, DOI 10.1016/j.buildenv.2009.08.005
   Wong NH, 2009, ENERG BUILDINGS, V41, P1401, DOI 10.1016/j.enbuild.2009.08.010
NR 82
TC 51
Z9 54
U1 1
U2 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-8574
EI 1872-6992
J9 ECOL ENG
JI Ecol. Eng.
PD APR
PY 2015
VL 77
BP 348
EP 362
DI 10.1016/j.ecoleng.2015.01.021
PG 15
WC Ecology; Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Engineering
GA CE3DL
UT WOS:000351705100040
DA 2025-01-10
ER

PT J
AU Ma, WJ
   Wang, LJ
   Lin, HL
   Liu, T
   Zhang, YH
   Rutherford, S
   Luo, Y
   Zeng, WL
   Zhang, YW
   Wang, XF
   Gu, X
   Chu, C
   Xiao, JP
   Zhou, MG
AF Ma, Wenjun
   Wang, Lijun
   Lin, Hualiang
   Liu, Tao
   Zhang, Yonghui
   Rutherford, Shannon
   Luo, Yuan
   Zeng, Weilin
   Zhang, Yewu
   Wang, Xiaofeng
   Gu, Xin
   Chu, Cordia
   Xiao, Jianpeng
   Zhou, Maigeng
TI The temperature-mortality relationship in China: An analysis from 66
   Chinese communities
SO ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Distributed lag non-linear model; Multivariate meta-analysis; Extreme
   temperature; Mortality
ID ISCHEMIC-HEART-DISEASE; CLIMATE-CHANGE; TIME-SERIES; CITIES; COLD; RISK;
   GUANGZHOU; EXTREMES; INCREASE; WEATHER
AB Background: Previous studies examining temperature-mortality associations in China focused on a single city or a small number of cities. A multi-city study covering different climatic zones is necessary to better understand regional differences in temperature risk on mortality in China.
   Methods: Sixty-six communities from 7 regions across China were included in this study. We first used a Distributed Lag Non-linear Model (DLNM) to estimate community-specific effects of temperature on non-accidental mortality during 2006-2011. A multivariate meta-analysis was then applied to pool the estimates of community-specific effects.
   Results: A U-shaped curve was observed between temperature and mortality at the national level in China, indicating both low and high temperatures were associated with increased mortality risk. The overall threshold was at about the 75th percentile of the pooled temperature distribution. The relative risk was 1.61 (95% CI: 1.48-1.74) for extremely cold temperature (1st percentile of temperature), and 1.21 (95% CI: 1.10-1.34) for extreme hot temperature (99th percentile of temperature) at lag 0-21 days. The temperature-mortality relationship is different for different regions. Compared with north China, south China had a higher minimum mortality temperature (MMT), and there was a larger cold effect in the more southern parts of China and a more pronounced hot effect in more northern parts.
   Conclusions: Both cold and hot temperatures increase mortality risk in China, and the relationship varies geographically. Our findings suggest that public health policies for climate change adaptation should be tailored to the local climate conditions. (C) 2014 Elsevier Inc. All rights reserved.
C1 [Ma, Wenjun; Lin, Hualiang; Liu, Tao; Luo, Yuan; Zeng, Weilin; Xiao, Jianpeng] Guangdong Prov Ctr Dis Control & Prevent, Guangdong Prov Inst Publ Hlth, Guangzhou 511430, Guangdong, Peoples R China.
   [Wang, Lijun; Zhou, Maigeng] Natl Ctr Chron & Noncommunicable Dis Control & Pr, Beijing 100050, Peoples R China.
   [Zhang, Yonghui] Guangdong Prov Ctr Dis Control & Prevent, Guangzhou 511430, Guangdong, Peoples R China.
   [Ma, Wenjun; Rutherford, Shannon; Chu, Cordia] Griffith Univ, Ctr Environm & Populat Hlth, Brisbane, Qld 4111, Australia.
   [Zhang, Yewu; Wang, Xiaofeng; Gu, Xin] Chinese Ctr Dis Control & Prevent, Beijing 102206, Peoples R China.
C3 Chinese Center for Disease Control & Prevention; Guangdong Provincial
   Center for Disease Control & Prevention; Chinese Center for Disease
   Control & Prevention; National Center for Chronic & Noncommunicable
   Disease Control & Prevention, Chinese Center for Disease Control &
   Prevention; Chinese Center for Disease Control & Prevention; Guangdong
   Provincial Center for Disease Control & Prevention; Griffith University;
   Chinese Center for Disease Control & Prevention
RP Xiao, JP (corresponding author), Guangdong Prov Ctr Dis Control & Prevent, Guangdong Prov Inst Publ Hlth, 160 Qunxian Rd, Guangzhou 511430, Guangdong, Peoples R China.
EM jpengx@163.com; maigengzhou@126.com
RI Liu, Tao/LVS-2751-2024; Zhou, Maigeng/HCH-7703-2022; 马,
   文军/GQQ-7852-2022; Xiao, Jianpeng/GRY-5231-2022; Luo, Yuan/HTT-4112-2023;
   Wang, Lijun/HPE-0990-2023
OI Chu, Cordia/0000-0002-3683-5638; Rutherford, Shannon/0000-0002-5851-2987
FU Natural Science Foundation of Guangdong Province [S2013010014670];
   National Basic Research Program of China ("973Program") [2012CB955500]
FX This study was supported by Natural Science Foundation of Guangdong
   Province (No. S2013010014670) and National Basic Research Program of
   China ("973Program") (No. 2012CB955500).
CR Analitis A, 2008, AM J EPIDEMIOL, V168, P1397, DOI 10.1093/aje/kwn266
   Anderson BG, 2009, EPIDEMIOLOGY, V20, P205, DOI 10.1097/EDE.0b013e318190ee08
   Armstrong BG, 2011, J EPIDEMIOL COMMUN H, V65, P340, DOI 10.1136/jech.2009.093161
   Basu R, 2009, ENVIRON HEALTH-GLOB, V8, DOI 10.1186/1476-069X-8-40
   Chen RJ, 2013, NEUROLOGY, V81, P1064, DOI 10.1212/WNL.0b013e3182a4a43c
   Chung JY, 2009, SCI TOTAL ENVIRON, V408, P390, DOI 10.1016/j.scitotenv.2009.09.009
   Curriero FC, 2002, AM J EPIDEMIOL, V155, P80, DOI 10.1093/aje/155.1.80
   Gasparrini A, 2012, STAT MED, V31, P3821, DOI 10.1002/sim.5471
   Gasparrini A, 2013, BMC MED RES METHODOL, V13, DOI 10.1186/1471-2288-13-1
   Guo YM, 2013, HEART, V99, P195, DOI 10.1136/heartjnl-2012-302518
   Guo YM, 2011, ENVIRON HEALTH PERSP, V119, P1719, DOI 10.1289/ehp.1103598
   Iñiguez C, 2010, INT J ENV RES PUB HE, V7, P3196, DOI 10.3390/ijerph7083196
   Jiang Y., 2010, DIS SURVEILL, V25, P239
   Kan HD, 2011, ENVIRON HEALTH PERSP, V119, pA60, DOI 10.1289/ehp.1003354
   Keatinge WR, 1997, LANCET, V349, P1341, DOI 10.1016/S0140-6736(96)12338-2
   Lan L, 2012, ECOHEALTH, V9, P310, DOI 10.1007/s10393-012-0790-6
   Leone M, 2013, ENVIRON HEALTH-GLOB, V12, DOI 10.1186/1476-069X-12-55
   Lin HL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068417
   Lin YK, 2011, ENVIRON RES, V111, P1156, DOI 10.1016/j.envres.2011.06.008
   Liu T, 2013, ATMOS ENVIRON, V76, P59, DOI 10.1016/j.atmosenv.2012.07.011
   Martin SL, 2012, INT J BIOMETEOROL, V56, P605, DOI 10.1007/s00484-011-0449-y
   Medina-Ramón M, 2007, OCCUP ENVIRON MED, V64, P827, DOI 10.1136/oem.2007.033175
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Son JY, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034027
   Wang CC, 2014, SCI TOTAL ENVIRON, V466, P985, DOI 10.1016/j.scitotenv.2013.08.011
   Wu W, 2013, SCI TOTAL ENVIRON, V449, P355, DOI 10.1016/j.scitotenv.2013.01.090
   Xiao J., 2014, INT J BIOMETEOROL
   Xie HY, 2013, ENVIRON HEALTH PERSP, V121, P210, DOI 10.1289/ehp.1104541
   Yang Gonghuan, 2005, Popul Health Metr, V3, P3, DOI 10.1186/1478-7954-3-3
   Yang GH, 2013, LANCET, V381, P1987, DOI 10.1016/S0140-6736(13)61097-1
   Yang J, 2013, ENVIRON POLLUT, V175, P131, DOI 10.1016/j.envpol.2012.12.021
NR 31
TC 108
Z9 136
U1 5
U2 75
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 FEB
PY 2015
VL 137
BP 72
EP 77
DI 10.1016/j.envres.2014.11.016
PG 6
WC Environmental Sciences; Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
GA CF1TO
UT WOS:000352331000009
PM 25490245
DA 2025-01-10
ER

PT J
AU Huggel, C
   Raissig, A
   Rohrer, M
   Romero, G
   Diaz, A
   Salzmann, N
AF Huggel, C.
   Raissig, A.
   Rohrer, M.
   Romero, G.
   Diaz, A.
   Salzmann, N.
TI How useful and reliable are disaster databases in the context of climate
   and global change? A comparative case study analysis in Peru
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID NATURAL HAZARDS; VULNERABILITY; LOSSES; TREND; MODEL
AB Damage caused by weather-and climate-related disasters have increased over the past decades, and growing exposure and wealth have been identified as main drivers of this increase. Disaster databases are a primary tool for the analysis of disaster characteristics and trends at global or national scales, and they support disaster risk reduction and climate change adaptation. However, the quality, consistency and completeness of different disaster databases are highly variable. Even though such variation critically influences the outcome of any study, comparative analyses of different databases are still rare to date. Furthermore, there is an unequal geographic distribution of current disaster trend studies, with developing countries being underrepresented.
   Here, we analyze three different disaster databases in the developing-country context of Peru: a global database (Emergency Events Database: EM-DAT), a multinational Latin American database (DesInventar) and a national database (Peruvian National Information System for the Prevention of Disasters: SINPAD). The analysis is performed across three dimensions: (1) spatial scales, from local to regional (provincial) and national scale; (2) timescales, from single events to decadal trends; and (3) disaster categories and metrics, including the number of single disaster event occurrence, or people killed and affected.
   Results show limited changes in disaster occurrence in the Cusco and Apurimac regions in southern Peru over the past four decades but strong positive trends in people affected at the national scale. We furthermore found large variations of the disaster metrics studied over different spatial and temporal scales, depending on the disaster database analyzed. We conclude and recommend that the type, method and source of documentation should be carefully evaluated for any analysis of disaster databases; reporting criteria should be improved and documentation efforts strengthened.
C1 [Huggel, C.; Raissig, A.; Salzmann, N.] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.
   [Raissig, A.] Geotest AG, CH-3052 Zollikofen, Switzerland.
   [Rohrer, M.] Meteodat, CH-8005 Zurich, Switzerland.
   [Romero, G.; Diaz, A.] PREDES Ctr Estudios & Prevenc Desastres, Lima, Peru.
C3 University of Zurich
RP Huggel, C (corresponding author), Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland.
EM christian.huggel@geo.uzh.ch
RI Salzmann, Nadine/AAE-4752-2021
OI Rohrer, Mario/0000-0002-5311-383X; Huggel,
   Christian/0000-0001-9299-2665; Salzmann, Nadine/0000-0001-5876-7624
FU Swiss Agency for Development and Cooperation (SDC); Swiss Federal Office
   for the Environment; World Bank; Andean Community of Nations
FX This study was conducted within the Peruvian-Swiss Programme on Climate
   Change Adaptation (PACC), funded by the Swiss Agency for Development and
   Cooperation (SDC). We appreciate collaboration with several colleagues
   from the PACC, including Helvetas Swiss Intercooperation, as well as
   fruitful discussions with Yamina Silva, Pierluigi Calanca, Walter
   Silverio, Christine Jurt, Massimiliano Zappa, Norina Andres, Nadine
   Hilker and Thomas Konzelmann. We also acknowledge support of Daniela
   Lorenzi for one figure. Collaboration with, and data from, SENAMHI Peru
   is greatly appreciated. We also acknowledge input in the context of
   AndesPlus/Adaptation to the Impact of Rapid Glacier Retreat in the
   Tropical Andes Project (PRAA), funded by the Swiss Federal Office for
   the Environment, the World Bank and the Andean Community of Nations.
   Finally, we thank Olga Petrucci and the anonymous reviewers for helpful
   and detailed comments that improved the manuscript.
CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], DESINVENTAR DESINVEN
   [Anonymous], 2009, Global assessment report on disaster risk reduction
   Barredo JI, 2010, NAT HAZARD EARTH SYS, V10, P97, DOI 10.5194/nhess-10-97-2010
   Barredo JI, 2009, NAT HAZARD EARTH SYS, V9, P97, DOI 10.5194/nhess-9-97-2009
   Barthel F, 2012, CLIMATIC CHANGE, V113, P215, DOI 10.1007/s10584-011-0331-2
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Bouwer LM, 2011, B AM METEOROL SOC, V92, P39, DOI 10.1175/2010BAMS3092.1
   Centre for Research on the Epidemiology of Disasters (CRED), 2012, EM DAT DAT
   Cutter SL, 2008, P NATL ACAD SCI USA, V105, P2301, DOI 10.1073/pnas.0710375105
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Gall M, 2009, B AM METEOROL SOC, V90, P799, DOI 10.1175/2008BAMS2721.1
   Golnaraghi M., 2009, RISK WISE, P137
   Guha-Sapir Debby., 2002, The Quality and Accuracy of Disaster Data: A Comparative Analyses of Three Global Data Sets
   Hardoy J, 2009, ENVIRON URBAN, V21, P203, DOI 10.1177/0956247809103019
   Huggel C, 2013, NAT CLIM CHANGE, V3, P694, DOI 10.1038/nclimate1961
   INDECI, 2012, EV IMP SOC TEMP LLUV
   INDECI, SINPAD SIST INF NAC
   IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation, 2012, IPCC MANAGING RISKS
   Kron W, 2012, NAT HAZARD EARTH SYS, V12, P535, DOI 10.5194/nhess-12-535-2012
   Marulanda MC, 2010, DISASTERS, V34, P552, DOI 10.1111/j.1467-7717.2009.01143.x
   Neumayer E., 2011, GLOBAL ENVIRON CHANG, V21, P13
   Peduzzi P, 2005, NAT HAZARDS, V35, P265, DOI 10.1007/s11069-004-5703-8
   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
   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)]
   Schmidt S, 2010, REG ENVIRON CHANGE, V10, P13, DOI 10.1007/s10113-008-0082-4
   Schwarb M, 2011, ADV SCI RES, V6, P219, DOI 10.5194/asr-6-219-2011
   Swiss Re, 2014, SIGM INS RES
   Tapia M., 1997, SISTEMAS PRODUCCION, P131
   Trenberth KE, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P235
   UNISDR, 2013, RIR FRAG URB FEN NIN
   United Nations Development Programme (UNDP), 2013, COMP REV COUNTR LEV
   Wisner B., 2004, AT RISK, V2nd
   WMO, 2013, WMO DIS RISK RED PRO
NR 37
TC 47
Z9 48
U1 1
U2 31
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PY 2015
VL 15
IS 3
BP 475
EP 485
DI 10.5194/nhess-15-475-2015
PG 11
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 CE9JT
UT WOS:000352160900009
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Overland, JE
   Wang, MY
   Walsh, JE
   Stroeve, JC
AF Overland, James E.
   Wang, Muyin
   Walsh, John E.
   Stroeve, Julienne C.
TI Future Arctic climate changes: Adaptation and mitigation time scales
SO EARTHS FUTURE
LA English
DT Article
DE Arctic; Climate Change; Mitigation; Sea ice
ID SEA-ICE; PROJECTIONS; AMPLIFICATION; MODEL
AB The climate in the Arctic is changing faster than in midlatitudes. This is shown by increased temperatures, loss of summer sea ice, earlier snow melt, impacts on ecosystems, and increased economic access. Arctic sea ice volume has decreased by 75% since the 1980s. Long-lasting global anthropogenic forcing from carbon dioxide has increased over the previous decades and is anticipated to increase over the next decades. Temperature increases in response to greenhouse gases are amplified in the Arctic through feedback processes associated with shifts in albedo, ocean and land heat storage, and near-surface longwave radiation fluxes. Thus, for the next few decades out to 2040, continuing environmental changes in the Arctic are very likely, and the appropriate response is to plan for adaptation to these changes. For example, it is very likely that the Arctic Ocean will become seasonally nearly sea ice free before 2050 and possibly within a decade or two, which in turn will further increase Arctic temperatures, economic access, and ecological shifts. Mitigation becomes an important option to reduce potential Arctic impacts in the second half of the 21st century. Using the most recent set of climate model projections (CMIP5), multimodel mean temperature projections show an Arctic-wide end of century increase of +13 degrees C in late fall and +5 degrees C in late spring for a business-as-usual emission scenario (RCP8.5) in contrast to +7 degrees C in late fall and +3 degrees C in late spring if civilization follows a mitigation scenario (RCP4.5). Such temperature increases demonstrate the heightened sensitivity of the Arctic to greenhouse gas forcing.
C1 [Overland, James E.] NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USA.
   [Wang, Muyin] Univ Washington, JISAO, Seattle, WA 98195 USA.
   [Walsh, John E.] Univ Alaska, Int Arct Res Ctr, Fairbanks, AK 99701 USA.
   [Stroeve, Julienne C.] Univ Colorado, Natl Snow & Ice Data Ctr, Boulder, CO 80309 USA.
C3 National Oceanic Atmospheric Admin (NOAA) - USA; University of
   Washington; University of Washington Seattle; University of Alaska
   System; University of Alaska Fairbanks; University of Colorado System;
   University of Colorado Boulder
RP Overland, JE (corresponding author), NOAA, Pacific Marine Environm Lab, 7600 Sand Point Way Ne, Seattle, WA 98115 USA.
EM james.e.overland@noaa.gov
RI Stroeve, Julienne/ABE-7227-2020; Wang, Muyin/K-4006-2014
OI Walsh, John/0000-0001-9541-5927; Wang, Muyin/0000-0001-5233-4588
FU NOAA Arctic Research Project of the Climate Program Office; Office of
   Naval Research [322]; Joint Institute for the Study of the Atmosphere
   and Ocean (JISAO) under NOAA Cooperative Agreement [NA10OAR4320148,
   2156, 4052]; NSF [ARC-1023131]; Directorate For Geosciences; Office of
   Polar Programs (OPP) [1023131] Funding Source: National Science
   Foundation
FX The work is supported by NOAA Arctic Research Project of the Climate
   Program Office and by the Office of Naval Research, Code 322. This
   publication is partially funded by the Joint Institute for the Study of
   the Atmosphere and Ocean (JISAO) under NOAA Cooperative Agreement
   NA10OAR4320148, contribution 2156, PMEL contribution 4052. JW is
   supported by NSF grant ARC-1023131.
CR Bintanja R, 2013, SCI REP-UK, V3, DOI 10.1038/srep01556
   Bitz CM, 2012, ATMOS OCEAN SCI LIB, V43, P405, DOI 10.1007/978-94-007-2027-5_11
   Bracegirdle TJ, 2013, J CLIMATE, V26, P669, DOI 10.1175/JCLI-D-12-00537.1
   Derksen C, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053387
   Deser C, 2010, J CLIMATE, V23, P333, DOI 10.1175/2009JCLI3053.1
   Duarte CM, 2012, NAT CLIM CHANGE, V2, P60, DOI 10.1038/nclimate1386
   Ghatak D, 2013, J GEOPHYS RES-ATMOS, V118, P7569, DOI 10.1002/jgrd.50578
   Hodson DLR, 2013, CLIM DYNAM, V40, P2849, DOI 10.1007/s00382-012-1512-z
   Holland MM, 2003, CLIM DYNAM, V21, P221, DOI 10.1007/s00382-003-0332-6
   Jeffries MO, 2013, PHYS TODAY, V66, P35, DOI 10.1063/PT.3.2147
   Karlsson J, 2013, GEOPHYS RES LETT, V40, P4374, DOI 10.1002/grl.50768
   Koenigk T, 2013, CLIM DYNAM, V40, P2719, DOI 10.1007/s00382-012-1505-y
   Liu JP, 2013, P NATL ACAD SCI USA, V110, P12571, DOI 10.1073/pnas.1219716110
   Mahlstein I, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2011JD016709
   MANABE S, 1980, J GEOPHYS RES-OCEANS, V85, P5529, DOI 10.1029/JC085iC10p05529
   Massonnet F, 2012, CRYOSPHERE, V6, P1383, DOI 10.5194/tc-6-1383-2012
   Monastersky R, 2013, NATURE, V497, P13, DOI 10.1038/497013a
   Overland JE, 2013, GEOPHYS RES LETT, V40, P2097, DOI 10.1002/grl.50316
   Overland JE, 2011, J CLIMATE, V24, P1583, DOI 10.1175/2010JCLI3462.1
   Post E, 2013, SCIENCE, V341, P519, DOI 10.1126/science.1235225
   Schweiger A, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2011JC007084
   Screen JA, 2010, NATURE, V464, P1334, DOI 10.1038/nature09051
   Serreze MC, 2009, CRYOSPHERE, V3, P11, DOI 10.5194/tc-3-11-2009
   Serreze MC, 2011, GLOBAL PLANET CHANGE, V77, P85, DOI 10.1016/j.gloplacha.2011.03.004
   Stroeve JC, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052676
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Vavrus SJ, 2012, J CLIMATE, V25, P2696, DOI 10.1175/JCLI-D-11-00220.1
   Wang MH, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052204
NR 29
TC 198
Z9 233
U1 0
U2 112
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 2328-4277
J9 EARTHS FUTURE
JI Earth Future
PD FEB
PY 2014
VL 2
IS 2
BP 68
EP 74
DI 10.1002/2013EF000162
PG 7
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA CN0TC
UT WOS:000358125500004
OA gold
DA 2025-01-10
ER

PT J
AU Galatowitsch, S
   Frelich, L
   Phillips-Mao, L
AF Galatowitsch, Susan
   Frelich, Lee
   Phillips-Mao, Laura
TI Regional climate change adaptation strategies for biodiversity
   conservation in a midcontinental region of North America
SO BIOLOGICAL CONSERVATION
LA English
DT Article
DE Conservation planning; Reserve design; Scenario planning; Climate
   models; Minnesota
ID GRASSLAND PLANTS; VEGETATION; RESPONSES; FOREST; VULNERABILITY;
   MANAGEMENT; DISPERSAL; MIGRATION; SEEDLINGS; WETLANDS
AB Scenario planning should be an effective tool for developing responses to climate change but will depend on ecological assessments of broad enough scope to support decision-making. Using climate projections from an ensemble of 16 models, we conducted an assessment of a midcontinental area of North America (Minnesota) based on a resistance, resilience, and facilitation framework. We assessed likely impacts and proposed options for eight landscape regions within the planning area. Climate change projections suggest that by 2069, average annual temperatures will increase 3 degrees C with a slight increase in precipitation (6%). Analogous climate locales currently prevail 400-500 km SSW. Although the effects of climate change may be resisted through intensive management of invasive species, herbivores, and disturbance regimes, conservation practices need to shift to facilitation and resilience. Key resilience actions include providing buffers for small reserves, expanding reserves that lack adequate environmental heterogeneity, prioritizing protection of likely climate refuges, and managing forests for multi-species and multi-aged stands. Modifying restoration practices to rely on seeding (not plants), enlarge seed zones, and include common species from nearby southerly or drier locales is a logical low-risk facilitation strategy. Monitoring "trailing edge" populations of rare species should be a high conservation priority to support decision-making related to assisted colonization. Ecological assessments that consider resistance, resilience, and facilitation actions during scenario planning is a productive first step towards effective climate change planning for biodiversity with broad applicability to many regions of the world. (C) 2009 Elsevier Ltd. All rights reserved.
C1 [Galatowitsch, Susan; Phillips-Mao, Laura] Univ Minnesota, Conservat Biol Program, St Paul, MN 55108 USA.
   [Frelich, Lee] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities
RP Galatowitsch, S (corresponding author), Univ Minnesota, Conservat Biol Program, 305 Alderman Hall, St Paul, MN 55108 USA.
EM galat001@umn.edu; freli001@umn.edu; phil0308@umn.edu
OI Frelich, Lee/0000-0002-9052-7070
FU University of Minnesota Center for Urban and Regional Affairs
FX Many people assisted us in our search for regionally-relevant climate
   projections, and we thank them all for their time and contributions. In
   particular, we would like to thank the following: Dr. David Mladenoff
   (Dept. of Forest Ecology & Management, Univ. of Wisconsin) for
   introducing us to the Statistically Downscaled WCRP CMIP3 Climate
   Projections website: Dr. Peter Snyder (Dept. of Soil, Water, and Climate
   and Dept. of Forest Resources at the Univ. of Minnesota) for his
   assistance with using the downscaled climate model website and for
   producing the 2030-2039 and 2060-2069 difference maps; and Joel Nelson
   (Dept. of Soil, Water, and Climate, Univ. of MN) for creating the
   natural areas map and converting the climate change projections to GIS
   maps. Financial support for this project was provided by the University
   of Minnesota Center for Urban and Regional Affairs, through the
   Fesler-Lampert Endowment.
CR Aaseng N.E., 2003, Field guide to the native plant communities of Minnesota: the Laurentian Mixed Forest Province
   Anderson WL, 1996, LIMNOL OCEANOGR, V41, P815, DOI 10.4319/lo.1996.41.5.0815
   Bischoff A, 2002, BIOL CONSERV, V104, P25, DOI 10.1016/S0006-3207(01)00151-3
   Bohlen PJ, 2004, FRONT ECOL ENVIRON, V2, P427, DOI 10.2307/3868431
   Brooke C, 2008, CONSERV BIOL, V22, P1471, DOI 10.1111/j.1523-1739.2008.01031.x
   Camill P, 2000, ECOSYSTEMS, V3, P534, DOI 10.1007/s100210000047
   Côté SD, 2004, ANNU REV ECOL EVOL S, V35, P113, DOI 10.1146/annurev.ecolsys.35.021103.105725
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   Davis MA, 1998, J ECOL, V86, P652, DOI 10.1046/j.1365-2745.1998.00087.x
   Davis MB, 2005, ECOLOGY, V86, P1704, DOI 10.1890/03-0788
   FERRIS R, 2006, RES PRIORITIES CLIMA
   Foster DR, 2006, ECOLOGY, V87, P2959, DOI 10.1890/0012-9658(2006)87[2959:ACDFAM]2.0.CO;2
   Frelich Lee E., 1999, P499, DOI 10.1017/CBO9780511613029.017
   Friedman SK, 2005, ECOL APPL, V15, P726, DOI 10.1890/04-0748
   Galatowitsch SM, 1999, WETLANDS, V19, P733, DOI 10.1007/BF03161781
   GRACE JB, 1976, ARCH HYDROBIOL, V77, P475
   GRANT MARTIN L., 1955, PROC IOWA ACAD SCI, V62, P197
   HAAG RW, 1983, CAN J BOT, V61, P148, DOI 10.1139/b83-014
   Halpin PN, 1997, ECOL APPL, V7, P828
   Hannah L, 2005, BIOSCIENCE, V55, P231, DOI 10.1641/0006-3568(2005)055[0231:TVFTCE]2.0.CO;2
   Heinselman Miron., 1996, The Boundary Waters Wilderness Ecosystem
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   *HIGH PLAINS REG C, 2008, NORM MAPS
   Hunter ML, 2007, CONSERV BIOL, V21, P1356, DOI 10.1111/j.1523-1739.2007.00780.x
   HUNTER ML, 1988, CONSERV BIOL, V2, P375, DOI 10.1111/j.1523-1739.1988.tb00202.x
   *IPCC, 2001, GLOSS TERMS US IPCC
   IPCC C.W. T., 2007, CLIMATE CHANGE 2007
   [ IPCC] Intergovernmental Panel on Climate Change, 2002, 5 IPCC
   Johnson WC, 2005, BIOSCIENCE, V55, P863, DOI 10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2
   Kiviniemi K, 1999, OIKOS, V86, P241, DOI 10.2307/3546442
   KLING GW, 2003, CONFRONTING CLIMATE
   Lockwood JL, 2005, TRENDS ECOL EVOL, V20, P223, DOI 10.1016/j.tree.2005.02.004
   Logan JA, 2003, FRONT ECOL ENVIRON, V1, P130, DOI 10.2307/3867985
   LOGAN JA, 2007, NRSP10 USDA FOR SERV, P8
   Magnuson JJ, 1997, HYDROL PROCESS, V11, P825
   Maurer EP, 2002, J CLIMATE, V15, P3237, DOI 10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2
   McLachlan JS, 2007, CONSERV BIOL, V21, P297, DOI 10.1111/j.1523-1739.2007.00676.x
   *MFRC, 2008, DEL REG LANDSC
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   *MN DNR, 1997, MINN WETL CONS PLAN
   Nassauer JI, 2004, LANDSCAPE ECOL, V19, P343, DOI 10.1023/B:LAND.0000030666.55372.ae
   OWENBY J, 1992, CLIMATOGRAPHY US 3
   PAULY WR, 1997, TALLGRASS RESTORATIO, P3
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   *PEW CTR GLOB CLIM, 2007, AD WHAT STAT LOC DOI
   Prasad A., 2008, CLIMATE CHANGE TREE
   Price M.F., 2003, A User's Manual for Building Resistance and Resilience to Climate Change in Natural Systems, P73
   *QCCCE, 2008, SOL QUEENSL CHANG CL
   *RECL SANT CLAR U, 2008, STAT DOWNSC WCRP CMI
   Rich RL, 2007, J ECOL, V95, P1261, DOI 10.1111/j.1365-2745.2007.01301.x
   Ruhren S, 2003, J TORREY BOT SOC, V130, P34, DOI 10.2307/3557524
   RYAN KC, 1991, ENVIRON INT, V17, P169, DOI 10.1016/0160-4120(91)90099-C
   Schwartz MW, 2006, ECOLOGY, V87, P1611, DOI 10.1890/0012-9658(2006)87[1611:PEAARO]2.0.CO;2
   SHEVIAK CJ, 1986, RHODORA, V88, P267
   SIEGEL DI, 2006, GEOL SOC AM ABSTR, V38, P328
   Soons MB, 2005, J ECOL, V93, P1214, DOI 10.1111/j.1365-2745.2005.01064.x
   Spittlehouse D. L., 2003, BC Journal of Ecosystems and Management, V4, P7
   Spotswood Ercia, 2002, BMC Ecol, V2, P2, DOI 10.1186/1472-6785-2-2
   Trapp RJ, 2007, P NATL ACAD SCI USA, V104, P19719, DOI 10.1073/pnas.0705494104
   vanDorp D, 1997, LANDSCAPE ECOL, V12, P39, DOI 10.1007/BF02698206
   VonMaltitz G.P., 2006, 35 AIACC
   Weltzin JF, 2000, ECOLOGY, V81, P3464, DOI 10.1890/0012-9658(2000)081[3464:ROBAFP]2.0.CO;2
   Williams JW, 2007, P NATL ACAD SCI USA, V104, P5738, DOI 10.1073/pnas.0606292104
   Winter TC, 2000, J AM WATER RESOUR AS, V36, P305, DOI 10.1111/j.1752-1688.2000.tb04269.x
   YOUNG T, 2007, ANN M EC SOC AM SAN
   [No title captured]
NR 66
TC 85
Z9 123
U1 0
U2 116
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 OCT
PY 2009
VL 142
IS 10
BP 2012
EP 2022
DI 10.1016/j.biocon.2009.03.030
PG 11
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 493IR
UT WOS:000269730500005
DA 2025-01-10
ER

PT J
AU Gerbrandt, EM
   Bors, RH
   Chibbar, RN
   Baumann, TE
AF Gerbrandt, Eric M.
   Bors, Robert H.
   Chibbar, Ravindra N.
   Baumann, Thomas E.
TI Spring phenological adaptation of improved blue honeysuckle (<i>Lonicera
   caerulea</i> L.) germplasm to a temperate climate
SO EUPHYTICA
LA English
DT Article
DE Bloom; Bud break; Genetic resources; Harvest; Haskap; Honeyberry
AB The blue honeysuckle (Lonicera caerulea L.) has outstanding features as a novel fruit crop, including extreme winter hardiness, resistance of flowers to severe frosts and early season phenology. Its northern climatic adaptation also limits its range of production. Therefore, crop enhancement requires development of germplasm with adaptation to temperate climatic regions suited to large-scale horticulture. In a cold continental climate, the University of Saskatchewan fruit breeding program utilizes a widecross breeding strategy to produce improved germplasm groups from foundation groups from Russia, Japan and the Kuril Islands. A key objective is to evaluate temperate climate adaptation in these improved groups compared to their parental foundation genotypes. In a temperate climate in the Fraser Valley, British Columbia, Canada, evaluation of spring phenology in 2012 and 2013 compared blue honeysuckle to blueberry, raspberry and strawberry. By determining the range of variation within improved groups and the general mode of gene action controlling phenological traits, the current study characterized methods to enhance temperate climate adaptation through breeding. The improved groups generated from wide crosses exhibited hybrid vigour for numerous traits, presenting opportunities for broadening the crop's range of production. Selection for enhanced adaptation will be possible due to prevalence of intermediate types between the phenological extremes seen in the Russian and Kuril groups, moderation of these extremes by the Japanese group's intermediate phenology through dominant and overdominant gene action and high broad-sense heritability. Long-term genetic gains are most feasible for combinations of Japanese and Kuril groups, especially in bloom phenology.
C1 [Gerbrandt, Eric M.; Bors, Robert H.; Chibbar, Ravindra N.] Univ Saskatchewan, Dept Plant Sci, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada.
   [Baumann, Thomas E.] Univ Fraser Valley, Dept Agr Technol, 45300 Vimy Ave, Chilliwack, BC V2R 5X6, Canada.
C3 University of Saskatchewan
RP Gerbrandt, EM (corresponding author), Univ Saskatchewan, Dept Plant Sci, 51 Campus Dr, Saskatoon, SK S7N 5A8, Canada.
EM emg690@mail.usask.ca
RI Chibbar, Ravindra/A-4787-2008
FU Natural Science and Engineering Research Council of Canada's Alexander
   Graham Bell Canada Graduate; Vanier Canada Graduate Scholarships; Robert
   P. Knowles Plant Breeding Scholarship
FX The authors thank Maxine Thompson (Oregon State University), Maria
   Plekhanova (Vavilov Institute) and Jim Gilbert (One Green World Nursery)
   for providing the foundation blue honeysuckle germplasm used in this
   study. EMG was a grateful recipient of the Natural Science and
   Engineering Research Council of Canada's Alexander Graham Bell Canada
   Graduate and Vanier Canada Graduate Scholarships and the Robert P.
   Knowles Plant Breeding Scholarship (Grants M.Sc. Scholarship and Ph.D.
   Scholarship).
CR [Anonymous], P 1 VIRT INT SCI C L
   [Anonymous], SMALL FRUIT GROWING
   [Anonymous], P 1 VIRT INT SCI C L
   [Anonymous], P 1 VIRT INT SCI C L
   [Anonymous], 2012, SASKATCHEWAN AGR REG
   [Anonymous], P 1 VIRT INT SCI C L
   [Anonymous], P 1 VIRT INT SCI C L
   [Anonymous], 1986, PLANT NAT RESOUR
   [Anonymous], EDIBLE WILD PLANTS E
   [Anonymous], FLORA OF THE USSR
   [Anonymous], SPECIES BLUE FRUITED
   [Anonymous], HIST WEATH BRIT COL
   Auguie B., 2017, Miscellaneous Functions for "Grid"Graphics
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Graves S., 2015, MULTCOMPVIEW VISUALI
   Mucina L, 1997, FOLIA GEOBOT PHYTOTX, V32, P117, DOI 10.1007/BF02803738
   Peel MC, 2007, HYDROL EARTH SYST SC, V11, P1633, DOI 10.5194/hess-11-1633-2007
   Plekhanova M. N., 1994, Botanicheskii Zhurnal (St. Petersburg), V79, P45
   Plekhanova MN, 2000, ACTA HORTIC, P159, DOI 10.17660/ActaHortic.2000.538.25
   RUDENBERG L, 1969, J ARNOLD ARBORETUM, V50, P449
   Sheyko VV, 2009, P 1 VIRT INT SCI C L, P75
   SKVORTSOV A K, 1986, Acta Universitatis Upsaliensis Symbolae Botanicae Upsalienses, V27, P95
   Thompson MM, 2007, J AM POMOL SOC, V61, P25
   Thompson M.-M., 2006, Pome. New, V31, P65
NR 24
TC 14
Z9 16
U1 1
U2 46
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0014-2336
EI 1573-5060
J9 EUPHYTICA
JI Euphytica
PD AUG
PY 2017
VL 213
IS 8
AR 172
DI 10.1007/s10681-017-1958-5
PG 17
WC Agronomy; Plant Sciences; Horticulture
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA FA4VG
UT WOS:000405440700011
DA 2025-01-10
ER

PT J
AU Dysarz, T
   Marcinkowski, P
   Wicher-Dysarz, J
   Piniewski, M
   Miroslaw-Swiatek, D
   Kundzewicz, ZW
AF Dysarz, Tomasz
   Marcinkowski, Pawel
   Wicher-Dysarz, Joanna
   Piniewski, Mikolaj
   Miroslaw-Swiatek, Dorota
   Kundzewicz, Zbigniew W.
TI Assessment of Climate Change Impact on Flood Hazard Zones
SO WATER RESOURCES MANAGEMENT
LA English
DT Article; Early Access
DE SWAT; Flood Hazard Zones; Climate Change; HEC-RAS; EU Floods Directive
ID ODRA BASINS; RIVER-BASIN; PROJECTIONS; RISK; PRECIPITATION; VISTULA;
   STATION; EUROPE; POLAND
AB There have been many destructive pluvial and fluvial floods in Poland and the projection of increasing flood hazards in the future is a reason of considerable concern. The maps of river hazard zones are changing over time, and understanding these changes is of primary importance for flood risk reduction and climate change adaptation. This article aims to assess the impact of climate change on the spatial extent and depth classes of flood hazard zones for a selected reach of the River Warta in the western part of Poland. To this end, we integrated the Soil & Water Assessment Tool (SWAT) hydrological model of the Warta River Basin with the 1D hydraulic model HEC-RAS of the selected reach. The climate change effect was quantified based on the coupled model simulations forced with bias-corrected projections from the EURO-CORDEX project. Flood hazard maps were developed for two townships along the River Warta (Oborniki and Wronki), three greenhouse gas concentration scenarios (one for the baseline scenario in the reference period, 1971-2000; one for RCP 4.5 and one for RCP 8.5, for the time horizon 2021-2050) and for three return periods (10-, 100- and 500-year floods). Based on the ensemble mean, the increase in the flooded area projected in the future is more pronounced for RCP8.5 than for RCP4.5. This unique combination of software and data enabled the transformation of climate change impact into the land surface part of the hydrological cycle and assessment of changes in flood hazard and opens the way to assess the potential increases in the economic losses in the future.
C1 [Dysarz, Tomasz; Wicher-Dysarz, Joanna; Kundzewicz, Zbigniew W.] Poznan Univ Life Sci, Dept Environm Engn & Mech Engn, Poznan, Poland.
   [Marcinkowski, Pawel; Piniewski, Mikolaj; Miroslaw-Swiatek, Dorota] Warsaw Univ Life Sci SGGW, Inst Environm Engn, Warsaw, Poland.
C3 Poznan University of Life Sciences; Warsaw University of Life Sciences
RP Marcinkowski, P (corresponding author), Warsaw Univ Life Sci SGGW, Inst Environm Engn, Warsaw, Poland.
EM pawel_marcinkowski@sggw.edu.pl
RI Dysarz, Tomasz/AAL-6835-2020; Marcinkowski, Paweł/AAE-2343-2022;
   Wicher-Dysarz, Joanna/AAP-6315-2020
OI Marcinkowski, Pawel/0000-0002-6000-9758
CR Aich V, 2016, SCI TOTAL ENVIRON, V562, P666, DOI 10.1016/j.scitotenv.2016.04.021
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Baran-Zglobicka B, 2021, RESOURCES-BASEL, V10, DOI 10.3390/resources10020014
   Barman D., 2023, India. Arab J Geosci, V16, P526, DOI [10.1007/s12517-023-11620-w, DOI 10.1007/S12517-023-11620-W]
   Biedro I., 2012, GOSPOD WODNA, V4, P147
   Brunner GaryW., 2016, HECRAS River Analysis System: Hydraulic reference manual, P547
   Cameron T., 2012, HEC GEORAS GIS TOOLS
   Condon LE, 2015, HYDROL EARTH SYST SC, V19, P159, DOI 10.5194/hess-19-159-2015
   de Moel H, 2009, NAT HAZARD EARTH SYS, V9, P289, DOI 10.5194/nhess-9-289-2009
   Di Sante F, 2021, INT J CLIMATOL, V41, P3203, DOI 10.1002/joc.7014
   Doroszkiewicz J, 2019, WATER-SUI, V11, DOI 10.3390/w11010049
   Douville H., 2021, Water cycle changes
   Dysarz T, 2020, J FLOOD RISK MANAG, V13, DOI 10.1111/jfr3.12654
   Dysarz T, 2019, ACTA GEOPHYS, V67, P661, DOI 10.1007/s11600-019-00264-8
   Dysarz T, 2018, WATER-SUI, V10, DOI 10.3390/w10091266
   European Union, 2007, Official Journal of the European Union, Luxembourg
   Foundation PS, 2019, Python Standard Library, Python 3.6. 8 documentation
   Goodell C., 2014, Breaking the HEC-RAS Code: A User's Guide to Automating HED-RAS
   Gu XH, 2017, J HYDROL, V547, P718, DOI 10.1016/j.jhydrol.2017.02.041
   Gudmundsson L, 2012, HYDROL EARTH SYST SC, V16, P3383, DOI 10.5194/hess-16-3383-2012
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hayat H, 2021, WATER-SUI, V13, DOI 10.3390/w13202806
   Kalbarczyk R, 2024, WATER-SUI, V16, DOI 10.3390/w16121705
   Kimura Y, 2023, HYDROL EARTH SYST SC, V27, P1627, DOI [10.5194/hess-27-1627-2023, 10.5194/hess-27-1627-2023,2023]
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Kundzewicz ZW, 2017, HYDROLOG SCI J, V62, P1, DOI 10.1080/02626667.2016.1241398
   Kundzewicz ZW, 2022, WATER-SUI, V14, DOI 10.3390/w14172612
   KZGW, 2017, Aktualizacja metodyki obliczania przeplywow i opadow maksymalnych o okreslonym prawdopodobienstwie przewyzszenia dla zlewni kontrolowanych i niekontrolowanych oraz identyfikacji modeli transformacji opadu w odplyw
   Lastrada E, 2020, WATER-SUI, V12, DOI 10.3390/w12041114
   Law M., 2018, GETTING KNOW ARCGIS, V5th ed.
   Liu M, 2024, NAT HAZARDS, DOI 10.1007/s11069-024-06797-6
   Mezghani A, 2017, EARTH SYST SCI DATA, V9, P905, DOI 10.5194/essd-9-905-2017
   Mohleji S, 2014, NAT HAZARDS REV, V15, DOI 10.1061/(ASCE)NH.1527-6996.0000141
   Nones M, 2015, WATER ENVIRON J, V29, P412, DOI 10.1111/wej.12129
   Osuch M, 2017, STOCH ENV RES RISK A, V31, P2435, DOI 10.1007/s00477-016-1296-5
   Oubennaceur K, 2021, CLIMATE, V9, DOI 10.3390/cli9080125
   Piniewski M, 2017, HYDROLOG SCI J, V62, P1266, DOI 10.1080/02626667.2017.1321842
   Piniewski M, 2017, DATA, V2, DOI 10.3390/data2020014
   Piniewski M, 2017, HYDROL PROCESS, V31, P2210, DOI 10.1002/hyp.11176
   Piskwar I., 2021, Climate Change in Poland: Past, Present, Future, P529, DOI 10.1007/978-3-030-70328-8_22
   Robi MA, 2019, APPL GEOMAT, V11, P147, DOI 10.1007/s12518-018-0249-8
   Seneviratne S. I., 2021, Climate Change 2021-The Physical Science Basis, P1513, DOI [DOI 10.1017/9781009157896.013, 10.1017/9781009157896.013]
   Sharma S, 2021, J HYDROMETEOROL, V22, P2259, DOI 10.1175/JHM-D-20-0238.1
   Toosi AS, 2020, ECOL ENG, V147, DOI 10.1016/j.ecoleng.2020.105765
   Wilhelm B, 2022, NAT GEOSCI, V15, P118, DOI 10.1038/s41561-021-00878-y
   Winsemius HC, 2018, ENVIRON DEV ECON, V23, P328, DOI 10.1017/S1355770X17000444
   Yannopoulos S, 2015, ENVIRON PROCESS, V2, pS191, DOI 10.1007/s40710-015-0094-2
NR 47
TC 0
Z9 0
U1 4
U2 4
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 2024 OCT 14
PY 2024
DI 10.1007/s11269-024-04002-8
EA OCT 2024
PG 15
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA I6A7L
UT WOS:001331072400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Bozzolan, E
   Holcombe, E
   Pianosi, F
   Wagener, T
AF Bozzolan, Elisa
   Holcombe, Elizabeth
   Pianosi, Francesca
   Wagener, Thorsten
TI Synthetic libraries of urban landslide simulations to identify slope
   failure hotspots and drivers across spatial scales and landscapes
SO LANDSLIDES
LA English
DT Article; Early Access
DE Synthetic simulations; Urban landslides; Mechanistic-based modelling;
   Uncertainty; Developing countries; Effective mitigation
ID RISK REDUCTION; CLIMATE-CHANGE; STABILITY; HAZARD; UNCERTAINTIES; MODEL;
   VULNERABILITY; SETTLEMENTS; THRESHOLDS; PARAMETERS
AB Rainfall-triggered landslides are most deadly in developing countries, and future urban sprawl and climate change could intensify existing risks. In these regions, enhancing efforts in urban landslide risk mitigation and climate change adaptation is crucial. Current landslide probability assessment methodologies struggle to support effective mitigation because they fail to represent local anthropogenic factors (e.g. informal housing) across space and time scales. To meet this challenge, we demonstrated in previous work that hillslope-scale mechanistic models representing such localised changes can be used to create synthetic libraries of urban landslides that account for both data and future scenario uncertainty. Here, we show how these libraries can become an explorative tool for researchers and stakeholders, allowing them to investigate slope stability variations across spatial scales and landscapes. Results highlight, for example, how the main slope instability drivers change according to the location (e.g., upper vs lower catchment), the landcover (e.g. forest vs urban) and the spatial scale analysed (e.g. at hillslope scale slope stability was mostly controlled by water table height, whereas at regional scale by slope geometry). Ultimately, we demonstrate that stochastic analyses can lead to a greater understanding of the system interactions and they can support the identification of mitigation strategies that perform well across spatial scales and uncertain scenarios. These strategies should be prioritised even if future conditions are unknown. This reasoning is shown on a data-scarce region with expanding informal housing. However, the same methodology can be applied to any urban context and with any mechanistic-based model.
C1 [Bozzolan, Elisa] Univ Padua, Dept Geosci, Padua, Italy.
   [Bozzolan, Elisa; Holcombe, Elizabeth; Pianosi, Francesca] Univ Bristol, Sch Civil Aerosp & Design Engn, Bristol BS8 1SS, England.
   [Holcombe, Elizabeth; Pianosi, Francesca] Univ Bristol, Cabot Inst, Bristol, England.
   [Wagener, Thorsten] Univ Potsdam, Inst Environm Sci & Geog, Potsdam, Germany.
C3 University of Padua; University of Bristol; University of Bristol;
   University of Potsdam
RP Bozzolan, E (corresponding author), Univ Padua, Dept Geosci, Padua, Italy.; Bozzolan, E (corresponding author), Univ Bristol, Sch Civil Aerosp & Design Engn, Bristol BS8 1SS, England.
EM elisa.bozzolan@bristol.ac.uk
RI Pianosi, Francesca/JBJ-6425-2023; Holcombe, Elizabeth/A-9102-2010;
   Pianosi, Francesca/L-3154-2018
OI Bozzolan, Elisa/0000-0001-5353-8099; Holcombe,
   Elizabeth/0000-0002-8517-6130; Pianosi, Francesca/0000-0002-1516-2163
FU EPSRC DTP studentship [EP/N509619/1]; Alexander von Humboldt Foundation
FX The first author was supported by an EPSRC DTP studentship (grant no.
   EP/N509619/1).Funding for TW was provided by the Alexander von Humboldt
   Foundation in the framework of the Alexander von Humboldt Professorship
   endowed by the German Federal Ministry of Education and Research.
CR Alberti S, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33798-5
   Almeida S, 2017, NAT HAZARD EARTH SYS, V17, P225, DOI 10.5194/nhess-17-225-2017
   Alvioli M, 2018, SCI TOTAL ENVIRON, V630, P1528, DOI 10.1016/j.scitotenv.2018.02.315
   Anderson M. G., 1985, Final Tech. Report
   Anderson M.G., 1990, FEASIBILITY STUDY MA
   Anderson M, 2008, NAT HAZARDS, V47, P297, DOI 10.1007/s11069-008-9220-z
   Anderson MG, 2007, J ENVIRON MANAGE, V85, P101, DOI 10.1016/j.jenvman.2006.08.005
   Anderson MG, 2011, APPL GEOGR, V31, P590, DOI 10.1016/j.apgeog.2010.11.001
   Anderson MG, 2013, COMMUNITY-BASED LANDSLIDE RISK REDUCTION: MANAGING DISASTERS IN SMALL STEPS, P1, DOI 10.1596/978-0-8213-9456-4
   ANDERSON MG, 1991, P I CIVIL ENG PT 2, V91, P705, DOI 10.1680/iicep.1991.17486
   Arnone E., 2016, Accounting for Soil Parameter Uncertainty in a Physically Based and Distributed Approach for Rainfall-Triggered Landslides, V944, P927, DOI [10.1002/hyp.10609, DOI 10.1002/HYP.10609]
   Bar N, 2020, INT J MIN SCI TECHNO, V30, P651, DOI 10.1016/j.ijmst.2020.05.013
   Bello AA., 2015, Reliability Assessment of Reddish Brown Tropical Soil as a Liner Material Reliability Assessment of Reddish Brown Tropical Soil as a Liner Material, DOI [10.1007/s10706-012-9558-6, DOI 10.1007/S10706-012-9558-6]
   Beven KJ, 2018, NAT HAZARD EARTH SYS, V18, P2741, DOI 10.5194/nhess-18-2741-2018
   Bishop AW., 1955, GEOTECHNIQUE, V5, P7, DOI DOI 10.1680/GEOT.1955.5.1.7
   Bozzolan E, 2021, Phys. Geogr, V62
   Bozzolan Elisa, 2022, data.bris, DOI 10.5523/BRIS.2FY9L5XD3F112SF9E6NT8CV8N
   Bozzolan E, 2023, SCI TOTAL ENVIRON, V858, DOI 10.1016/j.scitotenv.2022.159412
   Bozzolan E, 2020, NAT HAZARD EARTH SYS, V20, P3161, DOI 10.5194/nhess-20-3161-2020
   Brand E. W., 1984, IV International Symposium on Landslides [Canadian Geotechnical Society]., P377
   Bull-Kamanga L, 2003, ENVIRON URBAN, V15, P193, DOI 10.1177/095624780301500109
   Cendrero A, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001305
   Cheng PFK, 2009, Special Project Report (SPR) 4/2009, P6
   Choudhuri K, 2021, FRONT BUILT ENVIRON, V7, DOI 10.3389/fbuil.2021.628016
   Corominas J, 2014, B ENG GEOL ENVIRON, V73, P209, DOI 10.1007/s10064-013-0538-8
   Darcy H., 1856, Recherche, P647, DOI [10.2516/ogst, DOI 10.2516/OGST]
   Diaz V.J., 1992, Environment and Urbanization, V4, P80
   El Kechebour B, 2015, PROCEDIA ENGINEER, V114, P824, DOI 10.1016/j.proeng.2015.08.034
   Fowler HJ, 2021, NAT REV EARTH ENV, V2, P107, DOI 10.1038/s43017-020-00128-6
   Frattini P, 2013, EARTH PLANET SC LETT, V361, P310, DOI 10.1016/j.epsl.2012.10.029
   Froude MJ, 2018, NAT HAZARD EARTH SYS, V18, P2161, DOI 10.5194/nhess-18-2161-2018
   GEO, 1988, Geotech Eng Off. 177
   Greenwood JR, 2004, P I CIVIL ENG-GEOTEC, V157, P199, DOI 10.1680/geng.2004.157.4.199
   Griffiths DV., 2002, Bearing Capacity of Rough Rigid Strip Footing on Cohesive Soil : Probabilistic Study, V128, P743
   Groves DG, 2007, GLOBAL ENVIRON CHANG, V17, P73, DOI 10.1016/j.gloenvcha.2006.11.006
   Guzzetti F, 2007, METEOROL ATMOS PHYS, V98, P239, DOI 10.1007/s00703-007-0262-7
   Guzzetti F., 2006, Estimating the Quality of Landslide Susceptibility Models, V81, P166, DOI [10.1016/j.geomorph.2006.04.007, DOI 10.1016/J.GEOMORPH.2006.04.007]
   Hamm NAS., 2006, Variance-Based Sensitivity Analysis of the Probability of Hydrologically Induced Slope Instability, V32, P803, DOI [10.1016/j.cageo.2005.10.007, DOI 10.1016/J.CAGEO.2005.10.007]
   Heimsath AM, 1997, NATURE, V388, P358, DOI 10.1038/41056
   Hemmati M, 2022, NPJ URBAN SUSTAIN, V2, DOI 10.1038/s42949-022-00058-w
   Hodnett MG, 2002, GEODERMA, V108, P155, DOI 10.1016/S0016-7061(02)00105-2
   Holcombe EA, 2006, PhD thesis
   Holcombe E, 2012, NAT HAZARDS, V61, P351, DOI 10.1007/s11069-011-9920-7
   Holcombe EA, 2016, P I CIVIL ENG-CIV EN, V169, P137, DOI 10.1680/jcien.15.00044
   HORNBERGER GM, 1981, J ENVIRON MANAGE, V12, P7
   Hürlimann M, 2022, LANDSLIDES, V19, P99, DOI 10.1007/s10346-021-01775-6
   Janbu N., 1954, Proceedings, European Conference on Stability of Earth Slopes, Stockholm, V3, P43
   Jeandet L, 2019, GEOPHYS RES LETT, V46, P4258, DOI 10.1029/2019GL082351
   Jetten V, 2016, CHaRIM Project Saint Lucia national flood hazard map methodology and validation report, P1
   Klohn-Crippen, 1995, Roseau Dam and ancillary works. Tropical storm Debbie. Geogr Ann Ser A Phys Geogr
   Kumar S, 2023, MODEL EARTH SYST ENV, V9, P1445, DOI 10.1007/s40808-022-01597-y
   LARSEN MC, 1993, GEOGR ANN A, V75, P13, DOI 10.2307/521049
   Laws MJ, 2001, Impacts of poor urban land development on slope instability
   Lizrraga JJ., 2019, Spatially Distributed Modeling of Rainfall-Induced Landslides in Shallow Layered Slopes, V16, P253, DOI [10.1007/s10346-018-1088-8, DOI 10.1007/S10346-018-1088-8]
   Lloyd DM., 2001, En, V144, P129, DOI [10.1680/cien.2001.144.3.129, DOI 10.1680/CIEN.2001.144.3.129]
   Lumb Peter., 1975, Quarterly Journal of Engineering Geology, V8, P21, DOI DOI 10.1144/GSL.QJEG.1975.008.01.02
   MacDonald Mott, 2013, Reconstr. Final Feasibility Rep., V258
   Maes J, 2017, PROG PHYS GEOG, V41, P191, DOI 10.1177/0309133316689344
   Marchesini I, 2014, NAT HAZARD EARTH SYS, V14, P2215, DOI 10.5194/nhess-14-2215-2014
   Melchiorre C, 2012, CLIMATIC CHANGE, V113, P413, DOI 10.1007/s10584-011-0325-0
   Mendes RM, 2018, GEOTECH GEOL ENG, V36, P599, DOI 10.1007/s10706-017-0303-z
   MILLINGTON RJ, 1959, NATURE, V183, P387, DOI 10.1038/183387a0
   O'Hare G, 2005, GEOGR J, V171, P239, DOI 10.1111/j.1475-4959.2005.00163.x
   Ozturk U, 2022, NATURE, V608, P262, DOI 10.1038/d41586-022-02141-9
   Parker RN, 2016, SCI REP-UK, V6, DOI 10.1038/srep34438
   Patton NR, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05743-y
   Castro CP, 2015, INT J DISAST RISK RE, V13, P109, DOI 10.1016/j.ijdrr.2015.05.001
   Pianosi F, 2016, ENVIRON MODELL SOFTW, V79, P214, DOI 10.1016/j.envsoft.2016.02.008
   Pianosi F, 2015, ENVIRON MODELL SOFTW, V70, P80, DOI 10.1016/j.envsoft.2015.04.009
   Reichenbach P, 2018, EARTH-SCI REV, V180, P60, DOI 10.1016/j.earscirev.2018.03.001
   Reichstein M, 2019, NATURE, V566, P195, DOI 10.1038/s41586-019-0912-1
   Richards LA, 1931, PHYSICS-J GEN APPL P, V1, P318, DOI 10.1063/1.1745010
   Salciarini D, 2006, LANDSLIDES, V3, P181, DOI 10.1007/s10346-006-0037-0
   Saltelli A., 2008, Global Sensitivity analysis: the Primer
   Samia J, 2018, Implementing landslide path dependency in landslide susceptibility modelling, P2129, DOI [10.1007/s10346-018-1024-y, DOI 10.1007/S10346-018-1024-Y]
   Sarailidis G, 2023, COMPUT GEOSCI-UK, V170, DOI 10.1016/j.cageo.2022.105248
   Satterthwaite D, 2020, ONE EARTH, V2, P143, DOI 10.1016/j.oneear.2020.02.002
   Shepheard CJ, 2019, B ENG GEOL ENVIRON, V78, P4851, DOI 10.1007/s10064-018-01451-5
   Sidle RC, 2006, FOREST ECOL MANAG, V224, P199, DOI 10.1016/j.foreco.2005.12.019
   Sidle RC, 2012, NAT GEOSCI, V5, P437, DOI 10.1038/ngeo1512
   Singh R, 2014, WATER RESOUR RES, V50, P3409, DOI 10.1002/2013WR014988
   Smith H, 2020, ECOL SOC, V25, DOI 10.5751/ES-11337-250119
   Smyth CG, 2000, APPL GEOGR, V20, P95, DOI 10.1016/S0143-6228(00)00004-7
   Stein L, 2024, EarthArxiv, DOI [10.31223/X5D687, DOI 10.31223/X5D687]
   Tibshirani, 1994, INTRO BOOTSTRAP, DOI DOI 10.1201/9780429246593
   UN, 2019, ST/ESA/SER.A/420, P197, DOI [10.4054/demres.2005.12.9, DOI 10.4054/DEMRES.2005.12.9]
   van Westen CJ, 2006, B ENG GEOL ENVIRON, V65, P167, DOI 10.1007/s10064-005-0023-0
   Van Westen C.J., 2016, Caribbean Handbook on Risk Information Management
   Wagener T, 2019, EARTH-SCI REV, V194, P1, DOI 10.1016/j.earscirev.2019.04.006
   Wamsler C, 2006, DISASTERS, V30, P151, DOI 10.1111/j.0361-3666.2006.00313.x
   Wilby RL., 2010, Robust Adaptation to Climate Change, V65, P180, DOI [10.1002/wea.504, DOI 10.1002/WEA.504]
   Wilkinson PL, 2002, ENVIRON MODELL SOFTW, V17, P333, DOI 10.1016/S1364-8152(01)00078-0
   Wilkinson PL, 2002, EARTH SURF PROC LAND, V27, P1285, DOI 10.1002/esp.409
NR 93
TC 1
Z9 1
U1 6
U2 6
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
J9 LANDSLIDES
JI Landslides
PD 2024 SEP 13
PY 2024
DI 10.1007/s10346-024-02327-4
EA SEP 2024
PG 18
WC Engineering, Geological; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology
GA F9Y5X
UT WOS:001313292900001
OA hybrid
DA 2025-01-10
ER

PT J
AU Rahman, MS
   Zulfiqar, F
   Ullah, H
   Himanshu, SK
   Rahman, M
   Datta, A
AF Rahman, Md. Sadique
   Zulfiqar, Farhad
   Ullah, Hayat
   Himanshu, Sushil Kumar
   Rahman, Mofasser
   Datta, Avishek
TI Does the adoption of homestead gardening increase dietary diversity in
   climate-vulnerable coastal areas? Evidence from Bangladesh
SO ASIA-PACIFIC JOURNAL OF REGIONAL SCIENCE
LA English
DT Article
DE Adoption; Climate change adaptation; Endogenous switching regression;
   Food security; Home garden
ID ADAPTATION DECISIONS; VEGETABLE PRODUCTION; FARMERS ADAPTATION;
   DROUGHT-PRONE; FOOD SECURITY; HOME GARDEN; PRODUCTIVITY; IMPACTS;
   TECHNOLOGIES; CONSUMPTION
AB Coastal areas are not conducive to cultivating a variety of crops due to the occurrence of natural disasters. Therefore, homestead gardening has the potential to increase food production and consumption in coastal households, thereby enhancing climate resilience. Adopting homestead gardening as an adaptation measure for climate change can improve food security in climate-vulnerable areas. This study identified factors associated with the adoption of homestead gardening and their impacts on dietary diversity in coastal areas of Bangladesh. A total of 750 coastal households were surveyed. To analyze the data, descriptive statistics, household dietary diversity score, endogenous switching regression model, and propensity score matching method were applied. According to the results, only 14.26% of coastal households adopted homestead gardening. The likelihood of adoption was increased by factors, such as age, spousal education, own cultivable land size, salinity perception, and mobile phone ownership. Results of the endogenous switching regression model indicated that the adopters of homestead gardens had a 13-point greater mean probability of a higher household dietary diversity score than the non-adopters. Results of the propensity score matching also showed a nearly identical finding. A strong extension service that uses modern information technology is required to disseminate homestead gardening technology in coastal areas. Climate change awareness initiatives are recommended to raise households cognizance on the negative effects of climate change, which in turn helps increase the adoption of homestead gardening as an adaptation measure.
C1 [Rahman, Md. Sadique; Ullah, Hayat; Himanshu, Sushil Kumar; Datta, Avishek] Asian Inst Technol Klong Luang, Agr Syst & Engn, Dept Food Agr & Bioresources, Sch Environm Resources & Dev, Klongluang 12120, Pathum Thani, Thailand.
   [Rahman, Md. Sadique] Sher E Ebangla Agr Univ, Dept Management & Finance, Dhaka 1207, Bangladesh.
   [Zulfiqar, Farhad; Rahman, Mofasser] Asian Inst Technol, Sch Environm Resources & Dev, Dept Food Agr & Bioresources, Agribusiness Management, Klongluang 12120, Pathum Thani, Thailand.
   [Zulfiqar, Farhad] Sultan Qaboos Univ, Coll Agr & Marine Sci, Dept Nat Resource Econ, Al Khoud 123, Muscat, Oman.
   [Rahman, Mofasser] Sher E Bangla Agr Univ, Dept Agribusiness & Mkt, Dhaka 1207, Bangladesh.
C3 Asian Institute of Technology; Asian Institute of Technology; Sultan
   Qaboos University; Sher-e-Bangla Agricultural University (SAU)
RP Datta, A (corresponding author), Asian Inst Technol Klong Luang, Agr Syst & Engn, Dept Food Agr & Bioresources, Sch Environm Resources & Dev, Klongluang 12120, Pathum Thani, Thailand.
EM datta@ait.ac.th
RI Rahman, Sadique/AAP-2118-2020; Himanshu, Sushil/J-9642-2019; Zulfiqar,
   Farhad/J-8719-2017
OI Datta, Avishek/0000-0002-5575-2766
FU The Islamic Development Bank and the World Academy of Sciences
   (IsDB-TWAS)
FX The authors would like to express their gratitude to the farmers and
   enumerators for their cooperation and support.
CR Abdulai A, 2014, LAND ECON, V90, P26, DOI 10.3368/le.90.1.26
   Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Ainembabazi JH, 2014, J DEV STUD, V50, P666, DOI 10.1080/00220388.2013.874556
   Akter Asma, 2021, Journal of Applied Horticulture (Lucknow), V23, P59, DOI 10.37855/jah.2021.v23i01.12
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alam GMM, 2017, ENVIRON MANAGE, V59, P777, DOI 10.1007/s00267-017-0826-3
   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
   Alene AD, 2007, EMPIR ECON, V32, P141, DOI 10.1007/s00181-006-0076-3
   Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   Anik AR, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102562
   [Anonymous], 2012, APN Science Bulletin, DOI [DOI 10.30852/SB.2012.22, 10.30852/sb.2012.22]
   Aryal JP, 2020, ENVIRON MANAGE, V66, P105, DOI 10.1007/s00267-020-01291-8
   Bahta YT, 2019, OUTLOOK AGR, V48, P246, DOI 10.1177/0030727019852107
   Bellows AL, 2020, FOOD NUTR BULL, V41, P50, DOI 10.1177/0379572119892405
   Burnham M, 2016, CLIM DEV, V8, P289, DOI 10.1080/17565529.2015.1067180
   Bushamuka Victor N., 2005, Food and Nutrition Bulletin, V26, P17
   Castañeda-Navarrete J, 2021, FOOD SECUR, V13, P669, DOI 10.1007/s12571-021-01148-w
   Chen J, 2018, ECOL INDIC, V93, P411, DOI 10.1016/j.ecolind.2018.05.017
   Clarke Mysha., 2019, People Place Policy, V12, P241, DOI [DOI 10.3351/PPP.2019.3396732665, 10.3351/ppp.2019]
   Dastagir MR, 2015, WEATHER CLIM EXTREME, V7, P49, DOI 10.1016/j.wace.2014.10.003
   Depenbusch L, 2022, FOOD SECUR, V14, P865, DOI 10.1007/s12571-021-01235-y
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Dilruba Khatun Dilruba Khatun, 2016, Agricultural Economics Research Review, V29, P183
   Dong FX, 2012, AGRIC FINANCE REV, V72, P402, DOI 10.1108/00021461211277259
   Endiris A, 2021, COGENT FOOD AGR, V7, DOI 10.1080/23311932.2021.1879425
   Fan LX, 2019, J RURAL STUD, V67, P12, DOI 10.1016/j.jrurstud.2019.02.007
   Ferdous Z, 2016, NJAS-WAGEN J LIFE SC, V78, P103, DOI 10.1016/j.njas.2016.05.006
   Fongar A, 2019, PUBLIC HEALTH NUTR, V22, P391, DOI [10.1017/S1368980018002756, 10.1017/s1368980018002756]
   Galhena DH., 2013, Agriculture and Food Security, V2, P8, DOI [10.1186/2048-7010-2-8, DOI 10.1186/2048-7010-2-8]
   Gopalakrishnan T, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11247200
   Goyari P., 2018, AGR FOOD ECON, V6, P7, DOI DOI 10.1186/S40100-018-0101-9
   Greene W.H., 2000, Econometric analysis, V4th edn
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hoddinott J., 1999, Choosing Outcome Indicators of Household Food Security
   Islam F., 2021, CLIMATE VULNERABILIT, DOI [10.1007/978-3-030-77259-89, DOI 10.1007/978-3-030-77259-89]
   Jha CK, 2021, ENVIRON SUSTAIN IND, V10, DOI 10.1016/j.indic.2021.100112
   Jordan JC, 2015, CLIM DEV, V7, P110, DOI 10.1080/17565529.2014.934771
   Kabir KA., 2020, FISH202003, P60
   Kabir MR, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e08755
   Kanyenji GM, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03226
   Karim MR, 2017, CLIM RISK MANAG, V17, P92, DOI 10.1016/j.crm.2017.06.002
   Kassie M, 2015, LAND USE POLICY, V42, P400, DOI 10.1016/j.landusepol.2014.08.016
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kumar N, 2011, J DEV EFFECT, V3, P193, DOI 10.1080/19439342.2011.570452
   Lal R, 2020, FOOD SECUR, V12, P871, DOI 10.1007/s12571-020-01058-3
   Li XP, 2022, CLIM DEV, V14, P523, DOI 10.1080/17565529.2021.1949572
   Lokshin M, 2004, STATA J, V4, P282, DOI 10.1177/1536867X0400400306
   Masha M, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100866
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Minja EG, 2021, J AGR FOOD RES, V5, DOI 10.1016/j.jafr.2021.100171
   Mitra S, 2019, AQUACULT ECON MANAG, V23, P410, DOI 10.1080/13657305.2019.1641571
   Morseth MS, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4527-x
   Mustafa NM, 2023, J AGR FOOD RES, V14, DOI 10.1016/j.jafr.2023.100674
   Ojo TO, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2019.04.007
   Olney DK, 2013, FOOD NUTR BULL, V34, P169, DOI 10.1177/156482651303400206
   Osei A, 2017, FOOD NUTR BULL, V38, P49, DOI 10.1177/0379572116676427
   Rahman MS, 2023, CLIM POLICY, V23, P1257, DOI 10.1080/14693062.2023.2212638
   Rahman MS, 2023, INT J SUST DEV WORLD, V30, P81, DOI 10.1080/13504509.2022.2123409
   Rahman MS, 2021, AQUACULT REP, V21, DOI 10.1016/j.aqrep.2021.100895
   Rammohan A, 2019, BMC PUBLIC HEALTH, V19, DOI 10.1186/s12889-019-7440-7
   Rayhan SJ, 2024, AGR ECON-CZECH, V70, P49, DOI 10.17221/341/2023-AGRICECON
   ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41
   Rahman MS, 2022, INT J PEST MANAGE, V68, P158, DOI 10.1080/09670874.2020.1807653
   Schreinemachers P, 2018, ACTA HORTIC, V1205, P305, DOI 10.17660/ActaHortic.2018.1205.36
   Schreinemachers P, 2016, J DEV EFFECT, V8, P473, DOI 10.1080/19439342.2016.1231704
   Schreinemachers P, 2015, FOOD SECUR, V7, P97, DOI 10.1007/s12571-014-0408-7
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Tega M., 2023, Intern. J. Forestry Res., DOI [10.1155/2023/5439171, DOI 10.1155/2023/5439171]
   Tesfamariam BY, 2018, FOOD SECUR, V10, P95, DOI 10.1007/s12571-017-0756-1
   Thapa S, 2021, CLIM DEV, V13, P713, DOI 10.1080/17565529.2020.1855099
   Uddin M.T., 2013, Progress. Agric, V24, P251, DOI [10.3329/pa.v24i1-2.19177, DOI 10.3329/PA.V24I1-2.19177, https://doi.org/10.3329/pa.v24i1-2.19177]
NR 73
TC 1
Z9 1
U1 0
U2 0
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2509-7946
EI 2509-7954
J9 ASIA-PAC J REG SCI
JI Asia-Pac. J. Reg. Sci.
PD SEP
PY 2024
VL 8
IS 3
BP 859
EP 878
DI 10.1007/s41685-024-00347-5
EA JUL 2024
PG 20
WC Economics; Environmental Studies; Regional & Urban Planning
WE Emerging Sources Citation Index (ESCI)
SC Business & Economics; Environmental Sciences & Ecology; Public
   Administration
GA E4B1J
UT WOS:001270247500001
DA 2025-01-10
ER

PT J
AU Adebayo, WG
AF Adebayo, Waidi Gbenro
TI Resilience in the face of ecological challenges: Strategies for
   integrating environmental considerations into social policy planning in
   Africa
SO SUSTAINABLE DEVELOPMENT
LA English
DT Article; Early Access
DE adaptive social policies; Africa; climate change mitigation; ecological
   crises; policy analysis; resilience; stakeholder engagement; sustainable
   development
ID CLIMATE-CHANGE; ADAPTATION; URBANIZATION; CONSTRAINTS; RESOURCES;
   IMPACTS; SYSTEMS
AB Africa faces severe ecological crises, such as climate change, resource depletion, and biodiversity loss, undermining sustainable development efforts and exacerbating poverty and hunger. Integrating environmental concerns into social policy planning could help build community resilience and support sustainable development. This study employed policy analysis and stakeholder engagement to identify key environmental issues, policy gaps, and strategies for integrating environmental considerations into social policies across various sectors in Africa. The study found a significant lack of integration of environmental concerns into social policy across areas like disaster management, agriculture, urban planning, healthcare access, and infrastructure development policies. As a percentage of respondents, the top environmental issues were flooding (32%), drought/desertification (13%), and food security/agriculture (11%), with farmers (35.4%) and women (21.7%) being the most vulnerable to climate change. Most community stakeholders (87.5%) emphasized the importance of integrating environmental considerations into social policy, with 56.25% rating it a high priority. They underscored the need for more locally driven planning, ecological monitoring, land restoration, diversified livelihoods, and climate change adaptation support through social policies to enhance environmental sustainability. This study's novelty lies in its comprehensive approach to understanding and addressing the complex interplay between environmental challenges and social policy planning in Africa. The findings emphasize the urgent need for policymakers to develop cross-sectoral national and local policies that use participatory processes to prioritize environmental sustainability, adaptation, community empowerment, and alignment with sustainable development goals while being responsive to continuing environmental uncertainty and change.
C1 [Adebayo, Waidi Gbenro] Witten Herdecke Univ, Dept Philosophy Polit & Econ, Witten, Germany.
   [Adebayo, Waidi Gbenro] DEPECOS Inst & Dev Res Ctr DIaDeRC, Ota, Nigeria.
   [Adebayo, Waidi Gbenro] Covenant Univ, Ctr Econ Policy & Dev Res CEPDeR, Ota, Nigeria.
C3 Covenant University
RP Adebayo, WG (corresponding author), Witten Herdecke Univ, Dept Philosophy Polit & Econ, Witten, Germany.
EM adebayo4peace@gmail.com
RI Adebayo, Waidi Gbenro/ACT-7488-2022
OI Adebayo, Waidi Gbenro/0000-0002-3235-8790
FU African Scholars Mentorship Network (ASMN) Series organized by DePECOS
   Institutions and Development Research Centre (DIaDeRC), Nigeria
FX The paper benefited from the insights from the African Scholars
   Mentorship Network (ASMN) Series organized by DePECOS Institutions and
   Development Research Centre (DIaDeRC), Nigeria.
CR Abdullahi M., 2024, Desert swallows livelihoods as climate shocks continue in Northeast Nigeria
   AbouAli H., 2023, Keys to climate action: How developing countries could drive global success and local prosperity
   ACPC, 2013, Policy brief 12: Climate change and health in Africa: Issues and options. ClimDev Africa
   Adenle AA, 2017, ECOL ECON, V141, P190, DOI 10.1016/j.ecolecon.2017.06.004
   Adhikari U, 2015, FOOD ENERGY SECUR, V4, P110, DOI 10.1002/fes3.61
   Adla K., 2022, One Health, P281, DOI DOI 10.1016/C2019-0-04850-9
   AfDB, 2022, African economic outlook 2022: Supporting climate resilience
   AfDB, 2023, Climate change and green growth strategic framework: Operationalising Africa's voiceAction plan 20212025
   AfDB & GCA, 2022, Africa adaptation acceleration program. A joint initiative of the African Development Bank (AfDB) and the Global Center on Adaptation (GCA)
   African Union, 2022, African union climate change and resilient development strategy and action plan (2022-2032)
   Aldunce P, 2016, ENVIRON HAZARDS-UK, V15, P58, DOI 10.1080/17477891.2015.1134427
   Aldunce P, 2014, DISASTER PREV MANAG, V23, P252, DOI 10.1108/DPM-07-2013-0130
   Andrade C, 2021, INDIAN J PSYCHOL MED, V43, P86, DOI 10.1177/0253717620977000
   [Anonymous], 2017, The future of food and agriculture:Trends and challenges
   [Anonymous], 2019, This is what its all about: Boosting Renewable Energy in Africa
   [Anonymous], 2005, Ecosystems and human wellbeing: synthesis
   [Anonymous], 2022, Global land outlook: Land Restoration for Recovery and Resilience (Second Edition), VSecond
   Azhoni A, 2017, GLOBAL ENVIRON CHANG, V44, P144, DOI 10.1016/j.gloenvcha.2017.04.005
   Baarsch F, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104699
   Baptista D., 2022, Climate change and chronic food insecurity in sub-saharan Africa
   Benton T. G., 2021, Food system impacts on biodiversity loss. Three levers for food system transformation in support of nature, P02
   Berretta A., 2022, Environmental and climate policy in Africa: Regional cohesion and national challenges
   Birkmann J., 2022, CLIMATE CHANGE 2022
   Boko M., 2008, Africa climate change 2007: Impacts, adaptation and vulnerability: Contribution of working group II to the fourth assessment report of the intergovernmental pan
   Bonvin JM, 2022, SOC POLICY SOC, V21, P484, DOI 10.1017/S1474746421000798
   Boyle R., 2024, The devastating impact of deforestation on watershed managementWatershed management is crucial for preserving our delicate ecological balance
   Burr EM, 2022, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.751660
   Butu HM., 2022, Africa's Climate Agenda, 2021 APRI Annual report
   Truffino JC, 2010, REV PSIQUIATR SALUD, V3, P145, DOI 10.1016/j.rpsm.2010.09.003
   Cervigni R., 2015, Enhancing resilience in African drylands: Toward a shared development agenda
   Challinor A, 2007, CLIMATIC CHANGE, V83, P381, DOI 10.1007/s10584-007-9249-0
   Chevallier R, 2023, S AFR J INT AFF, V30, P595, DOI 10.1080/10220461.2024.2318712
   Chirisa I, 2016, DEV SO AFR, V33, P113, DOI 10.1080/0376835X.2015.1113122
   Colding J, 2019, ECOL SOC, V24, DOI 10.5751/ES-10598-240102
   Coninck H.d., 2018, IPCC Special Report: Global Warming of 1.5 ?C (Chapter 4). Intergovernmental Panel on Climate Change
   Connolly-Boutin L, 2016, REG ENVIRON CHANGE, V16, P385, DOI 10.1007/s10113-015-0761-x
   Conway D, 2015, NAT CLIM CHANGE, V5, P837, DOI [10.1038/nclimate2735, 10.1038/NCLIMATE2735]
   Conway D, 2014, NAT CLIM CHANGE, V4, P339, DOI 10.1038/NCLIMATE2199
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   CRED, 2022, Disasters in numbers
   CRED, 2024, CRED crunch 74Disaster year in review 2023 (2024)
   Creswell J. W., 2018, Research design: qualitative, quantitative, and mixed methods approaches
   Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
   Dessalegn Obsi Gemeda Dessalegn Obsi Gemeda, 2015, Journal of Ecology and the Natural Environment, V7, P256
   Dhaliwal B., 2023, How deforestation affects the water cycle
   Dobson S, 2017, INT J DISAST RISK RE, V26, P78, DOI 10.1016/j.ijdrr.2017.09.028
   Dunham AE, 2018, REGIONAL ASSESSMENT
   Duntoye S., 2023, Nigerians look to government, private sector, developed countries for action to limit climate
   Easterling DavidR., 2021, FAO
   Falkner R, 2016, INT AFF, V92, P1107, DOI 10.1111/1468-2346.12708
   Fang C., 2022, Centering equity in climate resilience planning and action: A practitioner's guide, V3, DOI [10.25923/765q-zp33, DOI 10.25923/765Q-ZP33]
   FAO, 2024, Water and poverty
   FGN, 2021, Climate change act 2021
   FGN, 2021, 2050 longterm vision for Nigeria (LTV2050)
   FGN, 2021, Updated nationally determined contribution (NDC) to the UN framework convention on climate change
   Folke C, 2002, AMBIO, V31, P437, DOI 10.1639/0044-7447(2002)031[0437:RASDBA]2.0.CO;2
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Friesen J, 2017, SCI TOTAL ENVIRON, V581, P906, DOI 10.1016/j.scitotenv.2016.12.051
   Gali N. M., 2023, The intersectionality of climate change adaptation and agricultural policies for smallholder farmers in Ghana
   Giles J, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.439881
   Government of Kenya, 2016, Climate change actNo11 of 2016
   Government of Kenya, 2016, Green economy strategy and implementation plan 20162030
   Guarte JM, 2006, COMMUN STAT-SIMUL C, V35, P277, DOI 10.1080/03610910600591610
   Hallegatte S., 2016, SHOCK WAVES MANAGING, DOI [DOI 10.1596/978-1-4648-0673-5, 10.1596/978-1-4648-0673-5_fm]
   Howlett M, 2014, GLOBAL ENVIRON CHANG, V29, P395, DOI 10.1016/j.gloenvcha.2013.12.009
   Ifejika SperanzaC., 2010, RESILIENT ADAPTATION
   Independnant power producer office, 2021, Renewable energy independent power producer procurement programme (REIPPPP) bid window 5
   Ingrao C, 2023, HELIYON, V9, DOI 10.1016/j.heliyon.2023.e18507
   Isbell F, 2017, NATURE, V546, P65, DOI 10.1038/nature22899
   Jamal A. M., 2021, Environmental Challenges, V5, P10
   Jarvis A, 2012, TROP PLANT BIOL, V5, P9, DOI 10.1007/s12042-012-9096-7
   Kareem K., 2023, How effective are climate change policies in Nigeria?
   Keskitalo ECH, 2011, REG ENVIRON CHANGE, V11, P579, DOI 10.1007/s10113-010-0182-9
   Kiunsi R, 2013, ENVIRON URBAN, V25, P321, DOI 10.1177/0956247813489617
   Konapala G, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-16757-w
   Kumar P, 2024, SUSTAIN DEV, V32, P795, DOI 10.1002/sd.2644
   Lam VWY, 2020, NAT REV EARTH ENV, V1, P440, DOI 10.1038/s43017-020-0071-9
   Laprie J.-C., 2008, DEPENDABILITY RESILI
   Leal W, 2022, SCI TOTAL ENVIRON, V806, DOI 10.1016/j.scitotenv.2021.150420
   Logan C., 2022, As Africa climate week begins, Africans want action, research findsAnalysis
   Lukey P., 2020, The south African national climate change response policy: An evidencebased policymaking case study, V1, P2
   Mack N., 2005, QUALITATIVE RES METH
   Magis K, 2010, SOC NATUR RESOUR, V23, P401, DOI 10.1080/08941920903305674
   Mahamat M. F., 2022, African Union climate change and resilience development strategies and action plan 20222032, P4
   Masih I, 2014, HYDROL EARTH SYST SC, V18, P3635, DOI 10.5194/hess-18-3635-2014
   Masud S, 2024, ENVIRON POLICY GOV, V34, P42, DOI 10.1002/eet.2054
   Moreno AI, 2022, INT REV FINANC ANAL, V83, DOI 10.1016/j.irfa.2022.102307
   Morton J.F., 2017, MAKING CLIMATE COMPA, P87, DOI DOI 10.4324/9781315621579
   Myers SS, 2013, P NATL ACAD SCI USA, V110, P18753, DOI 10.1073/pnas.1218656110
   Naderifar M., 2017, Strides in Development of Medical Education, V14, DOI [DOI 10.5812/SDME.67670, 10.5812/SDME.67670]
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nthambi M, 2021, ECOL ECON, V179, DOI 10.1016/j.ecolecon.2020.106831
   Obioha Emeka E., 2008, Journal of Human Ecology, V23, P311
   Ochieng O., 2023, Three big financial challenges that could stop Kenya from meeting its climate change goals
   Ogunseitan OA, 2003, GLOBAL ENVIRON CHANG, V13, P101, DOI 10.1016/S0959-3780(03)00004-9
   Opoku SK, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18094672
   Pal L.A., 2014, POLICY ANAL PUBLIC I
   Parnell S, 2011, GLOBAL ENVIRON CHANG, V21, pS12, DOI 10.1016/j.gloenvcha.2011.09.014
   Project 90 by 2030, 2017, Energy sector transformation in South Africa
   Prüss-Ustün A, 2019, INT J HYG ENVIR HEAL, V222, P765, DOI 10.1016/j.ijheh.2019.05.004
   Renner J, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072799
   Republic of South Africa, 2018, Government Gazette, Republic of South Africa Vol. 636, No. 41689. Climate change bill
   Republic of South Africa, 2019, National climate change adaptation strategy
   Rhyddhi Chakraborty Rhyddhi Chakraborty, 2017, Ethics in Science and Environmental Politics (ESEP), V17, P41
   Salih AAM, 2020, NAT CLIM CHANGE, V10, P584, DOI 10.1038/s41558-020-0835-8
   Schaeffer M., 2013, Climatechange impacts, adaptation challenges and costs for Africa
   Scholes R., 2018, Report of the African Ministerial Summit on Biodiversity. Conference of the parties to the convention on biological diversity Fourteenth meeting Sharm ElSheikh, Egypt
   Scott A, 2022, PEOPLE NAT, V4, P201, DOI 10.1002/pan3.10276
   Serdeczny O, 2017, REG ENVIRON CHANGE, V17, P1585, DOI 10.1007/s10113-015-0910-2
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Sibiya NP, 2023, CLIMATE, V11, DOI 10.3390/cli11070145
   Soanes M., 2021, Principles for locallyled adaptation
   Suckall N, 2015, APPL GEOGR, V63, P244, DOI 10.1016/j.apgeog.2015.07.004
   Sultan B, 2016, FRONT PLANT SCI, V7, DOI 10.3389/fpls.2016.01262
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Talib R, 2016, INT J ADV COMPUT SC, V7, P414
   Tangney P, 2022, FRONT CLIM, V4, DOI 10.3389/fclim.2022.929313
   The Arab Republic of Egypt, 2024, International conventions on climate change
   The Arab Republic of Egypt, 2019, Prime Minister's decision no. 1129 of 2019
   The Arab Republic of Egypt, 2022, Egypt National Climate Change Strategy (NCCS) 2050
   Trisos CH., 2022, Climate Change 2022: Impacts, P1285, DOI [DOI 10.1017/9781009325844.011, 10.1017/9781009325844.011]
   UNCCD, 1994, Convention text
   UNEP, 2023, Africa environment outlook for business: Our environment our wealth, DOI [10.59117/20.500.11822/43127, DOI 10.59117/20.500.11822/43127]
   UNEP, 2016, GEO- 6 Regional Assessment for Africa
   UNEP-CBD, 2018, UNEP/CBD/COP/14/INF/50, P1
   UNEPWCMC, 2016, The state of biodiversity in Africa: A midterm review of progress towards the Aichi biodiversity targets
   UNESCO and UNWater, 2020, Water and climate change. The United Nations world water development report 2020
   United Nations Climate Change, 2020, Climate change is an increasing threat to Africa
   UNWater, 2019, UNwater policy brief on climate change and waterPolicy and analytical briefs
   van Wesenbeeck CFA, 2016, APPL GEOGR, V66, P81, DOI 10.1016/j.apgeog.2015.11.001
   Vlek PLG., 2017, LAND DEGRADATION SUS
   Weimer D.L.ViningA. R., 2017, Policy analysis: Concepts and Practice, V6th
   Wellstead A, 2017, CRIT POLICY STUD, V11, P391, DOI 10.1080/19460171.2016.1166972
   Wojcik LA, 2021, ECOL EVOL, V11, P15639, DOI 10.1002/ece3.8214
   World Bank, 2019, Kenya offgrid solar access project
   World Bank, 2020, The locust crisis: The World Bank's responseFactsheet July 1, 2020
   World Bank, 2017, UNCHARTED WATERS NEW
   World Bank Group, 2023, Republic of Congo country climate and development reportDiversifying Congo's economy: Making the most of climate change. CCDR series
   World Meteorological Organization, 2023, State of the Climate in Africa 2022. WMONo. 1330
   Zeufack A., 2022, Foreward. Angola country climate and development report
   Ziervogel G, 2022, S AFR J SCI, V118, DOI 10.17159/sajs.2022/14492
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
NR 142
TC 1
Z9 1
U1 11
U2 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0968-0802
EI 1099-1719
J9 SUSTAIN DEV
JI Sustain. Dev.
PD 2024 JUL 8
PY 2024
DI 10.1002/sd.3113
EA JUL 2024
PG 18
WC Development Studies; Green & Sustainable Science & Technology; Regional
   & Urban Planning
WE Social Science Citation Index (SSCI)
SC Development Studies; Science & Technology - Other Topics; Public
   Administration
GA XU8A3
UT WOS:001264269800001
OA hybrid
DA 2025-01-10
ER

PT J
AU Katapally, TR
   Bhawra, J
AF Katapally, Tarun R.
   Bhawra, Jasmin
TI Inverting social innovation to transform health system responses to
   climate change adaptation and mitigation in the global south
SO FRONTIERS IN PUBLIC HEALTH
LA English
DT Article
DE big data; citizen science; climate change; digital health; digital
   transformations; global health; global south; health systems
AB Systems thinking is aimed at understanding and solving complex problems that cut across sectors, an approach that requires accurate, timely, and multisectoral data. Citizen-driven big data can advance systems thinking, considering the widespread use of digital devices. Using digital platforms, data from these devices can transform health systems to predict and prevent global health crises and respond rapidly to emerging crises by providing citizens with real-time support. For example, citizens can obtain real-time support to help with public health risks via a digital app, which can predict evolving risks. These big data can be aggregated and visualized on digital dashboards, which can provide decision-makers with advanced data analytics to facilitate jurisdiction-level rapid responses to evolving climate change impacts (e.g., direct public health crisis communication). In the context of climate change, digital platforms can strengthen rapid responses by integrating information across systems (e.g., food, health, and social services) via citizen big data. More importantly, these big data can be used for rapid decision-making,a paradigm-changing approach that can invert social innovation, which we define as co-conceptualizing societal solutions with vulnerable communities to improve economic development with a focus on community wellbeing. However, to foster equitable and inclusive digital partnerships that invert social innovation, it is critical to avoid top-down approaches that sometimes result when researchers in the Global North and South collaborate. Equitable Global South-North partnerships can be built by combining digital citizen science and community-based participatory research to ethically leverage citizen-driven big data for rapid responses across international jurisdictions.
C1 [Katapally, Tarun R.] Western Univ, Fac Hlth Sci, DEPtH Lab, London, ON, Canada.
   [Katapally, Tarun R.; Bhawra, Jasmin] Hirabai Cowasji Jehangir Med Res Inst HCJMRI, Pune, India.
   [Katapally, Tarun R.] Western Univ, Schulich Sch Med & Dent, Dept Epidemiol & Biostat, London, ON, Canada.
   [Katapally, Tarun R.] Lawson Hlth Res Inst, London, ON, Canada.
   [Bhawra, Jasmin] Toronto Metropolitan Univ, Sch Occupat & Publ Hlth, CHANGE Res Lab, Toronto, ON, Canada.
C3 Western University (University of Western Ontario); Western University
   (University of Western Ontario); Western University (University of
   Western Ontario); Toronto Metropolitan University
RP Katapally, TR (corresponding author), Western Univ, Fac Hlth Sci, DEPtH Lab, London, ON, Canada.; Katapally, TR (corresponding author), Hirabai Cowasji Jehangir Med Res Inst HCJMRI, Pune, India.; Katapally, TR (corresponding author), Western Univ, Schulich Sch Med & Dent, Dept Epidemiol & Biostat, London, ON, Canada.; Katapally, TR (corresponding author), Lawson Hlth Res Inst, London, ON, Canada.
EM Tarun.katapally@uwo.ca
FU Canada Research Chairs Program; Canada Foundation for Innovation
FX The author(s) declare that financial support was received for the
   research, authorship, and/or publication of this article. The authors
   acknowledge the support of the Canada Research Chairs Program and the
   Canada Foundation for Innovation. Funders did not have a role in the
   development of the approach described in the manuscript.
CR Acild, Home
   afterpicu, ABOUT US
   [Anonymous], 2023, BBC NEWS
   [Anonymous], 2021, BBC NEWS
   [Anonymous], Mobile Internet usage worldwide
   [Anonymous], 2021, Climate change impacts
   [Anonymous], 2023, Smartphone owners are now the global majority, new GSMA report reveals
   [Anonymous], The-State-of-Mobile-Internet-Connectivity-Report-2022
   [Anonymous], 2007, Summary for policymakers: Climate change 2007: The physical science basis. IPCC working group 1: fourth assessment report
   Armeni K, 2021, SCI PUBL POLICY, V48, P605, DOI 10.1093/scipol/scab039
   Bednar-Friedl B, 2022, WIRES CLIM CHANGE, V13, DOI 10.1002/wcc.758
   Berry HL, 2018, NAT CLIM CHANGE, V8, P282, DOI 10.1038/s41558-018-0102-4
   Besançon L, 2021, BMC MED RES METHODOL, V21, DOI 10.1186/s12874-021-01304-y
   Bhawra J, 2022, SOCIETIES, V12, DOI 10.3390/soc12020071
   Bhawra J, 2021, JMIR RES PROTOC, V10, DOI 10.2196/31389
   Biorn-Hansen A, 2017, WEBIST: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, P344, DOI 10.5220/0006353703440351
   BMJ Innovations, Digital health innovations for non-communicable disease management during the COVID-19 pandemic: a rapid scoping review
   BMJ Open, Climate change, climate-related disasters and mental disorder in lowand middle-income countries: a scoping review
   Borghi J., 2022, Harvard Data Science Review, DOI [10.1162/99608f92.9497f68, DOI 10.1162/99608F92.9497F68]
   Canada H, 2018, Who is most impacted by climate change
   Canada PS, 2023, The First Public Report of the National Risk Profile
   CGHE. GACD, Home page
   Chen Rong, 2021, Policy Research Working Papers, DOI [10.1596/ 1813- 9450-9590, 10.1596/1813-9450-9590, DOI 10.1596/1813-9450-9590]
   Clark S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14031883
   Cormacain R, 2020, THEORY PRACT LEGIS, V8, P245, DOI 10.1080/20508840.2020.1786272
   Damschroder LJ, 2022, IMPLEMENT SCI, V17, DOI 10.1186/s13012-022-01245-0
   Damschroder LJ, 2009, IMPLEMENT SCI, V4, DOI 10.1186/1748-5908-4-50
   Ebi KL, 2021, ANNU REV PUBL HEALTH, V42, P293, DOI 10.1146/annurev-publhealth-012420-105026
   ec.europa, Consequences of climate change
   Forbes Vetter D., 2023, forbesJuly
   Ford JD, 2012, AM J PUBLIC HEALTH, V102, P1260, DOI 10.2105/AJPH.2012.300752
   Frongillo EA, 2023, J NUTR, V153, P922, DOI 10.1016/j.tjnut.2023.02.024
   Furgal C, 2006, ENVIRON HEALTH PERSP, V114, P1964, DOI 10.1289/ehp.8433
   Globalnews.ca, Climate change is already affecting food security. How can Canadians prepare?-National
   Herbert N, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acddf9
   Ignacio JT., 2023, Ubiquitous Learn Int J, V16, P1, DOI [10.18848/1835-9795/CGP/v16i02/1-16, DOI 10.18848/1835-9795/CGP/V16I02/1-16]
   iopscience, Community-based monitoring of Indigenous food security in a changing climate: global trends and future directions-IOPscience, DOI [10.1088/1748-9326/ab13e4, DOI 10.1088/1748-9326/AB13E4]
   Jia P, 2023, ANNU REV PUBL HEALTH, V44, P55, DOI 10.1146/annurev-publhealth-051920-093141
   Kapwata T, 2022, ENVIRON HEALTH-GLOB, V21, DOI 10.1186/s12940-022-00921-4
   Katapally, 2024, Front. Digit. Health, V6, DOI [10.3389/fdgth.2024.1399992, DOI 10.3389/FDGTH.2024.1399992]
   Katapally Tarun, Digital citizen science observatory
   Katapally TR, 2020, J MED INTERNET RES, V22, DOI 10.2196/19357
   Katapally TR, 2023, JMIR RES PROTOC, V12, DOI 10.2196/46810
   Katapally TR, 2020, JMIR PEDIATR PARENT, V3, DOI 10.2196/21155
   Katapally TR, 2019, JMIR MHEALTH UHEALTH, V7, DOI 10.2196/14056
   Khine Myo Myo, 2023, Int J Environ Res Public Health, V20, DOI 10.3390/ijerph20043425
   Kipp A, 2019, INT J CIRCUMPOL HEAL, V78, DOI 10.1080/22423982.2018.1517581
   Kumar M, 2022, LANCET, V400, P145, DOI 10.1016/S0140-6736(22)00888-1
   Kyaw KT, 2022, INNOV AGING, V6, P257
   Landry S., Fixing the global digital divide and digital access gap
   Mojahed N, 2022, IRAN J PUBLIC HEALTH, V51, P2664, DOI 10.18502/ijph.v51i12.11457
   Myette E, 2021, EXTRACT IND SOC, V8, DOI 10.1016/j.exis.2021.100901
   O'Hara S, 2021, ECOL ECON, V180, DOI 10.1016/j.ecolecon.2020.106859
   OECD, SOCIAL INNOVATION
   Opoku SK, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18094672
   PLOS Digital Health, Making data for good better, DOI [10.1371/journal.pdig.0000010, DOI 10.1371/JOURNAL.PDIG.0000010]
   PLOS Global Public Health, Striving towards true equity in global health: A checklist for bilateral research partnerships, DOI [10.1371/journal.pgph.0001418, DOI 10.1371/JOURNAL.PGPH.0001418]
   Pocock NS, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0231154
   Pollock RM, 2005, LOCAL ENVIRON, V10, P211, DOI 10.1080/13549830500075438
   researchgate, The YUVAAN cohort: an innovative multi-generational platform for health systems and population health interventions to minimize intergenerational transmission of non-communicable diseases in India
   Routledge & CRC Press, ExtrACTION: Impacts, Engagements, and Alternative Futures
   Sarker Iqbal H, 2021, SN Comput Sci, V2, P377, DOI 10.1007/s42979-021-00765-8
   Schippers MC, 2021, FRONT PSYCHOL, V12, DOI 10.3389/fpsyg.2021.650525
   Schnitter R, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16142531
   sciencedirect, Accessibility and sustainable mobility transitions in Africa: Insights from Freetown
   Secretariat TB of C, 2022, Canada's Digital Ambition 2022
   Sestino A, 2020, TECHNOVATION, V98, DOI 10.1016/j.technovation.2020.102173
   Stacker, 2023, These countries have the most mobile phone users
   Tarun Katapally, Smart India
   Thompson A., 2023, Is hottest month ever recorded on earth
   Tiwari I, 2022, HELIYON, V8, DOI 10.1016/j.heliyon.2022.e10811
   Turin TC, 2021, BMJ GLOB HEALTH, V6, DOI 10.1136/bmjgh-2021-007602
   Turner NJ, 2013, HUM ECOL, V41, P563, DOI 10.1007/s10745-013-9591-y
   UN Press, With Climate Crisis Generating Growing Threats to Global Peace, Security Council Must Ramp Up Efforts, Lessen Risk of Conflicts, Speakers Stress in Open Debate
   US EPA O, 2022, Climate Change and the Health of Socially Vulnerable People
   van Olmen Josefien, 2020, Wellcome Open Res, V5, P7, DOI 10.12688/wellcomeopenres.15581.1
   Dintrans PV, 2019, GLOB HEALTH RES POL, V4, DOI 10.1186/s41256-019-0115-1
   wellesleyinstitute, about us
   World Meteorological Organization, July 2023 is set to be the hottest month on record
NR 79
TC 1
Z9 1
U1 5
U2 6
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-2565
J9 FRONT PUBLIC HEALTH
JI Front. Public Health
PD MAY 13
PY 2024
VL 12
AR 1333163
DI 10.3389/fpubh.2024.1333163
PG 6
WC Public, Environmental & Occupational Health
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Public, Environmental & Occupational Health
GA SG4L1
UT WOS:001233289200001
PM 38803808
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Bhusal, A
   Thakur, B
   Kalra, A
   Benjankar, R
   Shrestha, A
AF Bhusal, Amrit
   Thakur, Balbhadra
   Kalra, Ajay
   Benjankar, Rohan
   Shrestha, Aruna
TI Evaluating the Effectiveness of Best Management Practices in Adapting
   the Impacts of Climate Change-Induced Urban Flooding
SO ATMOSPHERE
LA English
DT Article
DE flood; climate change; best management practice; PCSWMM; NARCCAP;
   climate change adaptation; green roof
ID RISK; PROJECTIONS; RUNOFF; ADAPTATION; MITIGATION; REDUCTION; SYSTEM;
   WATER; CITY
AB Floods are amongst the most destructive and costly natural disasters impacting communities around the globe. The severity and reoccurrence of flooding events have been more common in recent years as a result of the changing climate and urbanization. Best Management Practices (BMPs) are commonly used flood management techniques that aim to alleviate flooding and its impacts by capturing surface runoff and promoting infiltration. Recent studies have examined the effectiveness of BMPs in countering the effects of flooding; however, the performance of such strategies still needs to be analyzed for possible future climate change. In this context, this research employs climate model-driven datasets from the North American Regional Climate Change Assessment Program to evaluate the effects of climate change on urban hydrology within a study region by calculating historical and projected 6 h 100-year storm depths. Finally, the climate-induced design storms are simulated in the PCSWMM model, and the three BMP options (i.e., porous pavement, infiltration trench, and green roof) are evaluated to alleviate the impact of flooding events. This study quantifies the impact of changing climate on flood severity based on future climate models. The results indicate that peak discharge and peak volume are projected to increase by a range of 5% to 43% and 8% to 94%, respectively. In addition, the results demonstrated that green roofs, Permeable Pavement, and infiltration trenches help to reduce peak discharge by up to 7%, 14%, and 15% and reduce flood volume by up to 19%, 24%, and 29%, respectively, thereby presenting a promising solution to address the challenges posed by climate change-induced flooding events.
C1 [Bhusal, Amrit] Arcadis US Inc, 7575 Huntington Pk Dr,Suite 130, Columbus, OH 43235 USA.
   [Thakur, Balbhadra] FTN Associates Ltd, 3 Innwood Cir 220, Little Rock, AR 72211 USA.
   [Kalra, Ajay] Southern Illinois Univ Carbondale, Sch Civil Environm & Infrastruct Engn, 1230 Lincoln Dr, Carbondale, IL 62901 USA.
   [Benjankar, Rohan] Southern Illinois Univ Edwardsville, Dept Civil Engn, 61 Circle Dr, Edwardsville, IL 62026 USA.
   [Shrestha, Aruna] AECOM Tech Serv Inc, 1350 Deming Way, Suite 100, Middleton, WI 53562 USA.
C3 Arcadis; Arcadis U.S. Inc.; Southern Illinois University System;
   Southern Illinois University; Southern Illinois University System;
   Southern Illinois University Edwardsville
RP Kalra, A (corresponding author), Southern Illinois Univ Carbondale, Sch Civil Environm & Infrastruct Engn, 1230 Lincoln Dr, Carbondale, IL 62901 USA.
EM amrit.bhusal@arcadis-us.com; bbt@ftn-assoc.com; kalraa@siu.edu;
   rbenjan@siue.edu; aruna.shrestha@aecom.com
RI Thakur, PhD, Balbhadra/IUO-8959-2023; Kalra, Ajay/H-5652-2019; Bhusal,
   Amrit/AFC-0988-2022
OI Bhusal, Amrit/0000-0002-4788-3299; Kalra, Ajay/0000-0003-3878-2346;
   Benjankar, Rohan/0000-0002-6018-8186
FU University of Illinois System;  [107688]
FX The authors thank the editor and three anonymous reviewers for their
   insights to enhance the clarity of the manuscript. The authors thank
   Computational Hydraulics International for providing free academic
   access to PCSWMM for conducting the current research. The authors would
   like to thank the University of Illinois System (Award #107688) for
   providing research support for the current study.
CR Ab Azis SS, 2021, URBAN FOR URBAN GREE, V57, DOI 10.1016/j.ufug.2020.126876
   Acharya B, 2020, METEOROL HYDROL WATE, V8, P46, DOI 10.26491/mhwm/131092
   Ahiablame L. M., 2012, Environment and Pollution, V1, P1
   Ahiablame L, 2016, J ENVIRON MANAGE, V171, P81, DOI 10.1016/j.jenvman.2016.01.036
   Alfieri L, 2017, EARTHS FUTURE, V5, P171, DOI 10.1002/2016EF000485
   [Anonymous], Billion-Dollar Weather/Climate Disasters
   [Anonymous], CNN
   Arnell NW, 2016, CLIMATIC CHANGE, V134, P387, DOI 10.1007/s10584-014-1084-5
   Arora M, 2023, WATER-SUI, V15, DOI 10.3390/w15030562
   Baek SS, 2020, J HYDROL, V586, DOI 10.1016/j.jhydrol.2020.124886
   Banjara M, 2024, GEOSCIENCES, V14, DOI 10.3390/geosciences14020040
   Bhusal A, 2023, MODEL EARTH SYST ENV, V9, P4251, DOI 10.1007/s40808-023-01741-2
   de Macedo MB, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109266
   Diaz-Nieto J, 2005, CLIMATIC CHANGE, V69, P245, DOI 10.1007/s10584-005-1157-6
   Dudula J, 2016, J HYDROL, V541, P703, DOI 10.1016/j.jhydrol.2016.07.020
   Eckart K, 2017, SCI TOTAL ENVIRON, V607, P413, DOI 10.1016/j.scitotenv.2017.06.254
   Ercolani G, 2018, J HYDROL, V566, P830, DOI 10.1016/j.jhydrol.2018.09.050
   Flood List, Brazil-80 Killed in Floods and Landslides in North East
   FloodList, India-Heavy Rain and Floods in Gujarat Affect over 1 Million
   Giri S, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124311
   He L, 2022, ENVIRON RES, V206, DOI 10.1016/j.envres.2021.112630
   Hettiarachchi S, 2018, HYDROL EARTH SYST SC, V22, P2041, DOI 10.5194/hess-22-2041-2018
   Hu MC, 2018, WATER-SUI, V10, DOI 10.3390/w10020172
   Hua P, 2020, J CLEAN PROD, V242, DOI 10.1016/j.jclepro.2019.118515
   Ionno A, 2024, J HYDROL, V630, DOI 10.1016/j.jhydrol.2024.130688
   Iqbal A, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14094970
   Jamali B, 2020, WATER RES, V171, DOI 10.1016/j.watres.2019.115372
   Khazaei MR, 2012, INT J CLIMATOL, V32, P1997, DOI 10.1002/joc.2416
   Klein C, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac26f1
   Koop SHA, 2017, ENVIRON DEV SUSTAIN, V19, P385, DOI 10.1007/s10668-016-9760-4
   Kourtis IM, 2020, J ENVIRON MANAGE, V269, DOI 10.1016/j.jenvman.2020.110822
   Kousky C, 2010, NAT HAZARDS REV, V11, P162, DOI 10.1061/(ASCE)NH.1527-6996.0000021
   Kumar S, 2022, J HYDROL, V606, DOI 10.1016/j.jhydrol.2022.127455
   Lewellyn C, 2016, J HYDROL ENG, V21, DOI 10.1061/(ASCE)HE.1943-5584.0001257
   Liu L, 2020, WATER-SUI, V12, DOI 10.3390/w12082082
   Liu W, 2014, ECOL MODEL, V291, P6, DOI 10.1016/j.ecolmodel.2014.07.012
   Liu YZ, 2017, SCI TOTAL ENVIRON, V601, P580, DOI 10.1016/j.scitotenv.2017.05.212
   Mackenzie A.A., insurance journal
   Mahmood MI, 2017, SCI TOTAL ENVIRON, V601, P1031, DOI 10.1016/j.scitotenv.2017.05.260
   Mahmoud SH, 2018, SCI TOTAL ENVIRON, V636, P152, DOI 10.1016/j.scitotenv.2018.04.282
   Mailhot A, 2007, J HYDROL, V347, P197, DOI 10.1016/j.jhydrol.2007.09.019
   Masseroni D, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5377-z
   Mearns LO, 2015, CURR CLIM CHANGE REP, V1, P1, DOI 10.1007/s40641-015-0004-8
   Mearns LO, 2013, CLIMATIC CHANGE, V120, P965, DOI 10.1007/s10584-013-0831-3
   Meena YR, 2018, SPAT INF RES, V26, P527, DOI 10.1007/s41324-018-0195-x
   Mesinger F, 2006, B AM METEOROL SOC, V87, P343, DOI 10.1175/BAMS-87-3-343
   Nyaupane N, 2018, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2018: WATERSHED MANAGEMENT, IRRIGATION AND DRAINAGE, AND WATER RESOURCES PLANNING AND MANAGEMENT, P352
   Nyaupane N, 2017, WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: WATER, WASTEWATER, AND STORMWATER; URBAN WATERSHED MANAGEMENT; AND MUNICIPAL WATER INFRASTRUCTURE, P485
   Oberascher M, 2021, ENVIRON MODELL SOFTW, V139, DOI 10.1016/j.envsoft.2021.105028
   Pal SC, 2022, J ENVIRON MANAGE, V305, DOI 10.1016/j.jenvman.2021.114317
   Petit-Boix A, 2015, ECOL ENG, V84, P194, DOI 10.1016/j.ecoleng.2015.09.010
   Qiu JL, 2020, ECOL ENG, V143, DOI 10.1016/j.ecoleng.2019.105700
   Ranasinghe R., 2023, Intergovernmental Panel on Climate Change Climate Change 2021The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, V1st ed.
   Ristianti Novia Sari, 2022, IOP Conference Series: Earth and Environmental Science, DOI 10.1088/1755-1315/1082/1/012029
   Rodríguez-Rojas MI, 2018, J ENVIRON MANAGE, V205, P151, DOI 10.1016/j.jenvman.2017.09.075
   Swain DL, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001778
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Tamagnone P, 2020, J HYDROL, V586, DOI 10.1016/j.jhydrol.2020.124880
   Thakali R., 2018, OPEN WATER, V5, P1
   Thakali R, 2016, HYDROLOGY-BASEL, V3, DOI 10.3390/hydrology3040034
   Wu XS, 2017, J HYDROL, V547, P428, DOI 10.1016/j.jhydrol.2017.02.020
   Yang WY, 2022, J CLEAN PROD, V347, DOI 10.1016/j.jclepro.2022.131320
   Zhang LY, 2019, LANDSC ECOL ENG, V15, P421, DOI 10.1007/s11355-019-00391-w
   Zhu JT, 2012, J WATER CLIM CHANGE, V3, P185, DOI 10.2166/wcc.2012.045
NR 64
TC 1
Z9 1
U1 4
U2 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD MAR
PY 2024
VL 15
IS 3
AR 281
DI 10.3390/atmos15030281
PG 18
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA MD0U1
UT WOS:001191579000001
OA gold
DA 2025-01-10
ER

PT J
AU Baidya, A
   Saha, AK
AF Baidya, Arup
   Saha, Ashis Kumar
TI Exploring the research trends in climate change and sustainable
   development: A bibliometric study
SO CLEANER ENGINEERING AND TECHNOLOGY
LA English
DT Article
DE Climate change; Sustainable development; SDG; Bibliometric analysis;
   VOSviewer; PRISMA framework
ID ADAPTATION; MITIGATION; MANAGEMENT; LINKAGES; EQUITY; CITIES; RISKS;
   NEXUS; TOOL
AB Climate change and sustainable development are interconnected and pressing global challenges requiring urgent attention. Researching the trends in climate change and sustainable development through a bibliometric study is essential for addressing urgent global challenges, identifying gaps in knowledge, informing policy decisions, and promoting collaboration within the academic and research community. This study aims to conduct a bibliometric analysis to investigate the research trends, collaboration network, and thematic evaluation of publications on climate change and sustainable development. 1696 papers from 1992 to 2022 were selected using the PRISMA framework from the Scopus database. We employ Bibliometric R and VOSviewer software to conduct bibliometric analysis. The study found that literature and citations on climate change and sustainable development have grown significantly. The Chinese Academy of Sciences leads in productivity, while the USA, China, and India are the most productive countries. Surprisingly, 44 papers received over 100 citations, while 50% received less than five. Trending topics include COVID-19, urbanisation, attitude, climate change mitigation and adaptation, etc. The evaluation of research themes reveals a shift towards climate change to mitigation, adaptation, and sustainable development goals. The findings serve as a valuable resource for researchers, policymakers, and practitioners, facilitating a deeper understanding of the evolving knowledge of change and sustainable development research and identifying emerging research areas. The shift from a general emphasis on climate change to more specialised themes underscores the necessity for focused examinations within distinct domains, including but not limited to climate change adaptation, mitigation, and the pursuit of sustainable development goals.
C1 [Baidya, Arup; Saha, Ashis Kumar] Univ Delhi, Delhi Sch Econ, Dept Geog, Delhi 11007, India.
C3 Delhi School of Economics; University of Delhi
RP Baidya, A (corresponding author), Univ Delhi, Delhi Sch Econ, Dept Geog, Delhi 11007, India.
EM abaidya@geography.du.ac.in
RI Saha, Ashis/AAL-3445-2021; SAHA, ASHIS KUMAR/H-2298-2011
OI Baidya, Arup/0000-0003-3146-8493; SAHA, ASHIS KUMAR/0000-0002-8184-0495
CR Afuye GA, 2022, ENVIRON SCI POLLUT R, V29, P18578, DOI 10.1007/s11356-021-16319-7
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Banerjee N, 1998, ENERG POLICY, V26, P989, DOI 10.1016/S0301-4215(98)00044-5
   Banuri T, 2009, NAT RESOUR FORUM, V33, P257, DOI 10.1111/j.1477-8947.2009.01270.x
   Beg N, 2002, CLIM POLICY, V2, P129, DOI 10.1016/S1469-3062(02)00028-1
   Bornmann L, 2007, J AM SOC INF SCI TEC, V58, P1381, DOI 10.1002/asi.20609
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Byrne J, 1998, ENERG POLICY, V26, P335, DOI 10.1016/S0301-4215(97)00174-2
   CALLON M, 1983, SOC SCI INFORM, V22, P191, DOI 10.1177/053901883022002003
   CALLON M, 1991, SCIENTOMETRICS, V22, P155, DOI 10.1007/BF02019280
   Charlesworth SM, 2010, J WATER CLIM CHANGE, V1, P165, DOI 10.2166/wcc.2010.035
   Chen J, 2022, ENVIRON SCI POLLUT R, V29, P81183, DOI 10.1007/s11356-022-23449-z
   Childers DL, 2015, SUSTAINABILITY-BASEL, V7, P3774, DOI 10.3390/su7043774
   Cobo MJ, 2011, J INFORMETR, V5, P146, DOI 10.1016/j.joi.2010.10.002
   Cohen S, 1998, GLOBAL ENVIRON CHANG, V8, P341, DOI 10.1016/S0959-3780(98)00017-X
   Cramer W, 2018, NAT CLIM CHANGE, V8, P972, DOI 10.1038/s41558-018-0299-2
   Damtoft JS, 2008, CEMENT CONCRETE RES, V38, P115, DOI 10.1016/j.cemconres.2007.09.008
   Eakin HC, 2014, GLOBAL ENVIRON CHANG, V27, P1, DOI 10.1016/j.gloenvcha.2014.04.013
   Ejaz H, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912407
   Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060
   Fleming A, 2011, SUSTAINABLE AGRICULTURE, VOL 2, P283, DOI 10.1007/978-94-007-0394-0_15
   Ford CR, 2011, ECOL APPL, V21, P2049, DOI 10.1890/10-2246.1
   Fu HZ, 2022, CLIMATIC CHANGE, V170, DOI 10.1007/s10584-022-03324-z
   George G, 2021, ENTREP THEORY PRACT, V45, P999, DOI 10.1177/1042258719899425
   Gough I, 2015, CAMB J ECON, V39, P1191, DOI 10.1093/cje/bev039
   Hasana U, 2022, REG SUSTAIN, V3, P27, DOI 10.1016/j.regsus.2022.03.001
   Hassan SU, 2014, SCIENTOMETRICS, V99, P549, DOI 10.1007/s11192-013-1193-3
   Haunschild R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0160393
   He Q, 1999, LIBR TRENDS, V48, P133
   Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102
   Ikeme J, 2003, GLOBAL ENVIRON CHANG, V13, P195, DOI 10.1016/S0959-3780(03)00047-5
   Jones JAA, 1999, HYDROLOG SCI J, V44, P541, DOI 10.1080/02626669909492251
   Kim H, 2022, INT J HOSP MANAG, V100, DOI 10.1016/j.ijhm.2021.103082
   Ribeiro MPL, 2021, CLEAN ENG TECHNOL, V3, DOI 10.1016/j.clet.2021.100095
   Li JF, 2011, GLOBAL PLANET CHANGE, V77, P13, DOI 10.1016/j.gloplacha.2011.02.005
   Lu YL, 2018, ENVIRON POLLUT, V239, P670, DOI 10.1016/j.envpol.2018.04.016
   Maimaitiyiming M, 2014, ISPRS J PHOTOGRAMM, V89, P59, DOI 10.1016/j.isprsjprs.2013.12.010
   Markandya A., 2021, Climate Change and Sustainable Development: Prospects for Developing Countries, DOI [10.4324/9781003210795, DOI 10.4324/9781003210795]
   Marques AC, 2022, J HYDROL, V608, DOI 10.1016/j.jhydrol.2022.127690
   Mbow C, 2014, CURR OPIN ENV SUST, V6, P8, DOI 10.1016/j.cosust.2013.09.002
   Menon D, 2022, J HOSP LEIS SPORT TO, V30, DOI 10.1016/j.jhlste.2021.100360
   Meschede C, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12114461
   Metz B, 2002, CLIM POLICY, V2, P211, DOI 10.1016/S1469-3062(02)00037-2
   Mikulcic H, 2022, CLEAN ENG TECHNOL, V7, DOI 10.1016/j.clet.2022.100445
   Mkhongi FA, 2022, GEOGR SUSTAIN, V3, P325, DOI 10.1016/j.geosus.2022.10.003
   Nardone A, 2010, LIVEST SCI, V130, P57, DOI 10.1016/j.livsci.2010.02.011
   Niñerola A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11051377
   Nobre CA, 2016, P NATL ACAD SCI USA, V113, P10759, DOI 10.1073/pnas.1605516113
   Owusu PA, 2016, COGENT ENG, V3, DOI 10.1080/23311916.2016.1167990
   Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1136/bmj.n71, 10.1136/bmj.n160, 10.1016/j.ijsu.2021.105906]
   Pandey R, 2017, ECOL INDIC, V79, P338, DOI 10.1016/j.ecolind.2017.03.047
   Pinkse J, 2012, BUS SOC, V51, P176, DOI 10.1177/0007650311427426
   Ragazou K, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141811295
   Resurrección BP, 2013, WOMEN STUD INT FORUM, V40, P33, DOI 10.1016/j.wsif.2013.03.011
   Sharafuddin MA, 2024, GLOB BUS REV, V25, P533, DOI 10.1177/0972150920966885
   Sharifi A, 2021, SUSTAIN SCI, V16, P1079, DOI 10.1007/s11625-020-00853-3
   Smith P, 2013, P NUTR SOC, V72, P21, DOI 10.1017/S0029665112002832
   Swart R, 2003, CLIM POLICY, V3, pS19, DOI 10.1016/j.clipol.2003.10.010
   UNFCCC, 1992, United Nations Framework Convention on Climate Change, FCCC/INFORMAL/84, GE.05-62220 (E) 200705
   Vatananan-Thesenvitz R, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11205783
   Woolf D, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1053
NR 61
TC 8
Z9 8
U1 14
U2 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2666-7908
J9 CLEAN ENG TECHNOL
JI Cleaner Eng. Technol.
PD FEB
PY 2024
VL 18
AR 100720
DI 10.1016/j.clet.2023.100720
EA JAN 2024
PG 14
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA GX5E6
UT WOS:001155977500001
OA gold
DA 2025-01-10
ER

PT J
AU Yu, E
   Liu, DW
   Yang, JJ
   Sun, JQ
   Yu, LX
   King, MP
AF Yu, Enato
   Liu, Dongwei
   Yang, Jianjun
   Sun, Jianqi
   Yu, Lingxue
   King, Martin Peter
TI Future climate change for major agricultural zones in China as projected
   by CORDEX-EA-II, CMIP5 and CMIP6 ensembles
SO ATMOSPHERIC RESEARCH
LA English
DT Article
DE CORDEX-EA-II; Climate change projection; Agricultural zones; Model
   ensembles
ID EARTH SYSTEM MODEL; PRECIPITATION EXTREMES; RIVER-BASINS; PART I;
   TEMPERATURE; SIMULATION; RESOLUTION; REGCM4; 21ST-CENTURY; PRODUCTIVITY
AB Understanding future climate change is crucial for securing and managing water supplies necessary for agricultural activities in China, particularly in rainfed agriculture regions. This paper evaluates the projected climate change for nine major agricultural zones in China, using ensembles of regional climate models (RCMs) simulated under the Coordinated Regional Downscaling Experiment-East Asia second phase (CORDEX-EA-II) framework. The simulations were conducted for two climate scenarios (RCP2.6 and RCP8.5) at a 25 km grid spacing, with three RCMs (RegCM4, REMO, and WRF) driven by multiple CMIP5 global climate models (GCMs). The study compares the RCM simulations to the driving CMIP5 and the recent CMIP6 ensembles, focusing on surface temperature, precipitation, and surface relative humidity for the present day (1981-2010), mid-future (2036-2065), and far future (2070-2099) periods. The model evaluations indicate that the GCM and RCM simulations are consistent with observations, with RCMs showing better performance than the driving GCMs. The results show that both GCMs and RCMs project increased temperature and precipitation in most agricultural zones of China in the future, with the CMIP6 ensembles projecting the largest temperature increase and the CORDEX-EA-II ensemble showing the finest spatial details. Relative humidity is projected to decrease over major rice-producing areas of South China in the CORDEX-EA-II, CMIP5, and CMIP6 ensembles. This study provides valuable information to support climate change adaptation and mitigation efforts in China, particularly in the agricultural sectors.
C1 [Yu, Enato; Sun, Jianqi] Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China.
   [Yu, Enato] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Nanjing, Peoples R China.
   [Liu, Dongwei] Inner Mongolia Univ, Sch Ecol & Environm, Hohhot 010021, Peoples R China.
   [Yang, Jianjun] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China.
   [Yang, Jianjun] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China.
   [Yu, Lingxue] Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China.
   [King, Martin Peter] Bjerknes Ctr Climate Res, NORCE Norwegian Res Ctr, Bergen, Norway.
C3 Chinese Academy of Sciences; Institute of Atmospheric Physics, CAS;
   Nanjing University of Information Science & Technology; Inner Mongolia
   University; Xinjiang University; Xinjiang University; Chinese Academy of
   Sciences; Northeast Institute of Geography & Agroecology, CAS; Bjerknes
   Centre for Climate Research; Norwegian Research Centre (NORCE)
RP Yu, E (corresponding author), Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China.
EM yuet@mail.iap.ac.cn
RI Liu, Dongwei/AAB-9976-2021
OI Liu, Dongwei/0000-0002-1213-6795; King, Martin/0000-0002-8152-0897
FU National Natural Science Foundation of China [42075168, 42088101]
FX ~National Natural Science Foundation of China, Grant No. 42088101 and
   42075168.~
CR Ai YW, 2022, INT J CLIMATOL, V42, P4601, DOI 10.1002/joc.7492
   Andrews MB, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001995
   Azam MF, 2018, J GLACIOL, V64, P61, DOI 10.1017/jog.2017.86
   Bao JW, 2015, J GEOPHYS RES-ATMOS, V120, P8227, DOI 10.1002/2015JD023275
   Bentsen M, 2013, GEOSCI MODEL DEV, V6, P687, DOI 10.5194/gmd-6-687-2013
   Bichet A, 2020, CLIMATIC CHANGE, V162, P583, DOI 10.1007/s10584-020-02833-z
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chokkavarapu N, 2019, SN APPL SCI, V1, DOI 10.1007/s42452-019-1764-x
   Committee China Agricultural Zoning, 1981, INT AGR ZON CHIN
   Coppola E, 2021, CLIM DYNAM, V57, P1293, DOI 10.1007/s00382-021-05640-z
   Coppola E, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2019JD032356
   Fischer G, 2005, PHILOS T R SOC B, V360, P2067, DOI 10.1098/rstb.2005.1744
   Gao XJ, 2018, ATMOS OCEAN SCI LETT, V11, P291, DOI 10.1080/16742834.2018.1471578
   Gao XJ, 2016, ATMOS OCEAN SCI LETT, V9, P246, DOI 10.1080/16742834.2016.1172938
   Gao XJ, 2013, ATMOS OCEAN SCI LETT, V6, P381, DOI 10.3878/j.issn.1674-2834.13.0029
   Gao XJ, 2017, ADV ATMOS SCI, V34, P441, DOI 10.1007/s00376-016-6179-7
   Gao XJ, 2011, SCI CHINA EARTH SCI, V54, P462, DOI 10.1007/s11430-010-4035-7
   Gao YH, 2022, SCI CHINA EARTH SCI, V65, P2237, DOI 10.1007/s11430-022-9968-4
   Gao YH, 2015, J CLIMATE, V28, P2823, DOI 10.1175/JCLI-D-14-00300.1
   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, 2022, B AM METEOROL SOC, V103, pE293, DOI 10.1175/BAMS-D-21-0119.1
   Giorgi F, 2019, J GEOPHYS RES-ATMOS, V124, P5696, DOI 10.1029/2018JD030094
   Gornall J, 2010, PHILOS T R SOC B, V365, P2973, DOI 10.1098/rstb.2010.0158
   Gu L, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL097726
   Gutowski WJ, 2016, GEOSCI MODEL DEV, V9, P4087, DOI 10.5194/gmd-9-4087-2016
   Han J, 2011, WEATHER FORECAST, V26, P520, DOI 10.1175/WAF-D-10-05038.1
   Hausfather Z, 2022, NATURE, V605, P26, DOI 10.1038/d41586-022-01192-2
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   Huang JH, 2022, J HYDROMETEOROL, V23, P1563, DOI 10.1175/JHM-D-22-0036.1
   Im ES, 2021, CLIM DYNAM, V57, P1629, DOI 10.1007/s00382-020-05398-w
   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
   Ito R, 2020, GEOSCI MODEL DEV, V13, P859, DOI 10.5194/gmd-13-859-2020
   Jones CD, 2011, GEOSCI MODEL DEV, V4, P543, DOI 10.5194/gmd-4-543-2011
   Kataoka T, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002035
   Liang XZ, 2019, CLIM DYNAM, V52, P2159, DOI 10.1007/s00382-018-4257-5
   Liu Z, 2022, ATMOS RES, V278, DOI 10.1016/j.atmosres.2022.106364
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Mauritsen T, 2019, J ADV MODEL EARTH SY, V11, P998, DOI 10.1029/2018MS001400
   Morrison H, 2015, J ATMOS SCI, V72, P287, DOI 10.1175/JAS-D-14-0065.1
   Müller WA, 2018, J ADV MODEL EARTH SY, V10, P1383, DOI 10.1029/2017MS001217
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Ou TH, 2020, CLIM DYNAM, V54, P3525, DOI 10.1007/s00382-020-05181-x
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Pleim JE, 2007, J APPL METEOROL CLIM, V46, P1383, DOI 10.1175/JAM2539.1
   Qin PH, 2016, J GEOPHYS RES-ATMOS, V121, P6802, DOI 10.1002/2016JD024776
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Rummukainen M, 2016, WIRES CLIM CHANGE, V7, P145, DOI 10.1002/wcc.378
   Schwingshackl C, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4949
   Seland O, 2020, GEOSCI MODEL DEV, V13, P6165, DOI 10.5194/gmd-13-6165-2020
   Seneviratne SI, 2020, EARTHS FUTURE, V8, DOI 10.1029/2019EF001474
   Shi Y, 2018, CLIM DYNAM, V51, P2375, DOI 10.1007/s00382-017-4018-x
   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]
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tang JP, 2022, INT J CLIMATOL, V42, P6332, DOI 10.1002/joc.7592
   Teichmann C, 2021, CLIM DYNAM, V57, P1269, DOI 10.1007/s00382-020-05494-x
   Trnka M, 2011, GLOBAL CHANGE BIOL, V17, P2298, DOI 10.1111/j.1365-2486.2011.02396.x
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Wang HJ, 2012, METEOROL Z, V21, P279, DOI 10.1127/0941-2948/2012/0330
   Wang XJ, 2021, CLIM DYNAM, V56, P2749, DOI 10.1007/s00382-020-05617-4
   Wang ZQ, 2020, ATMOS OCEAN SCI LETT, V13, P71, DOI 10.1080/16742834.2020.1697615
   Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1
   Wu J, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2019JD031057
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Yao TD, 2012, NAT CLIM CHANGE, V2, P663, DOI [10.1038/nclimate1580, 10.1038/NCLIMATE1580]
   You LZ, 2009, AGR FOREST METEOROL, V149, P1009, DOI 10.1016/j.agrformet.2008.12.004
   You QL, 2021, CLIM DYNAM, V57, P17, DOI 10.1007/s00382-021-05691-2
   You QL, 2020, EARTH-SCI REV, V201, DOI 10.1016/j.earscirev.2019.103043
   Yu ET, 2022, WEATHER FORECAST, V37, P1703, DOI 10.1175/WAF-D-21-0188.1
   Yu ET, 2019, ASIA-PAC J ATMOS SCI, V55, P53, DOI 10.1007/s13143-018-0072-5
   Yu ET, 2015, CLIM DYNAM, V45, P2013, DOI 10.1007/s00382-014-2452-6
   Zhou BT, 2016, INT J CLIMATOL, V36, P1051, DOI 10.1002/joc.4400
   Zhou BT, 2014, J CLIMATE, V27, P6591, DOI 10.1175/JCLI-D-13-00761.1
   Zhou TJ, 2006, J CLIMATE, V19, P5843, DOI 10.1175/JCLI3952.1
   Zou LW, 2022, CLIM DYNAM, V58, P1015, DOI 10.1007/s00382-021-05947-x
NR 76
TC 16
Z9 17
U1 13
U2 39
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 JUN
PY 2023
VL 288
AR 106731
DI 10.1016/j.atmosres.2023.106731
EA MAR 2023
PG 19
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA Q0SW3
UT WOS:001054710500001
DA 2025-01-10
ER

PT J
AU Judd, M
   Horne, AC
   Bond, N
AF Judd, Meegan
   Horne, Avril C.
   Bond, Nick
TI Perhaps, perhaps, perhaps: Navigating uncertainty in environmental flow
   management
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE environmental flow; uncertainty; decision making; climate change;
   adaptation
ID ROBUST DECISION-MAKING; ADAPTIVE POLICY PATHWAYS; WATER GOVERNANCE;
   CONSERVATION; ADAPTATION; SCIENCE; BIODIVERSITY; INFORMATION; VIEWS
AB Uncertainty can be an impediment to decision making and result in decision paralysis. In environmental flow management, system complexity and natural variability increase uncertainty. Climate change provides further uncertainty and can hinder decision making altogether. Environmental flow managers express reluctance to include climate change adaptation in planning due to large knowledge gaps in hydro-ecological relationships. We applied a hybrid method of hypothetical scenarios and closed ended questions within a survey to investigate ecological trade off decision making behaviours and cognitive processes of environmental flow managers. The scenarios provided were both similar to participants' past experiences, and others were entirely unprecedented and hence unfamiliar. We found managers were more confident making decisions in situations they are familiar with, and most managers show low levels of confidence in making trade off decisions under uncertain circumstances. When given a choice, the most common response to uncertainty was to gather additional information, however information is often unavailable or inaccessible-either it does not exist, or uncertainties are so great that decisions are deferred. Given future rainfall is likely to be different from the past, environmental flow managers must work to adopt robust decision making frameworks that will increase confidence in decision making by acknowledging uncertainties. This can be done through tools developed to address decision making under deep uncertainty. Adapting these tools and methods to environmental flow management will ensure managers can begin to consider likely, necessary future trade-offs in a more informed, transparent and robust manner and increase confidence in decision making under uncertainty.
C1 [Judd, Meegan; Bond, Nick] La Trobe Univ, Ctr Freshwater Ecosyst, Wodonga, Vic, Australia.
   [Horne, Avril C.] Univ Melbourne, Dept Engn, Melbourne, Vic, Australia.
C3 La Trobe University; University of Melbourne
RP Judd, M (corresponding author), La Trobe Univ, Ctr Freshwater Ecosyst, Wodonga, Vic, Australia.
EM meegan.judd@latrobe.edu.au
RI Bond, Nick/A-1129-2016
OI Horne, Avril/0000-0001-6615-9987
FU Department of Environment, Land, Water and Planning, Victoria,
   Australia; Goulburn Broken Catchment Management Authority; ARC DECRA
   award [DE180100550]
FX MJ was funded through an industry PhD position with funding from the
   Department of Environment, Land, Water and Planning, Victoria, Australia
   and Goulburn Broken Catchment Management Authority. AH was funded
   through an ARC DECRA award (DE180100550).
CR Abunnasr Y, 2015, J ENVIRON PLANN MAN, V58, P135, DOI 10.1080/09640568.2013.849233
   Allan C, 2008, J AM WATER RESOUR AS, V44, P166, DOI 10.1111/j.1752-1688.2007.00145.x
   Arthington AH, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00045
   Ausden M., 2020, CONSERVATION RES POL
   Azhoni A, 2018, J HYDROL, V559, P736, DOI 10.1016/j.jhydrol.2018.02.047
   Bartholomew E, 2020, ENVIRON MODELL SOFTW, V127, DOI 10.1016/j.envsoft.2020.104699
   Ben-Haim Y., 2006, Academic, DOI DOI 10.1016/B978-0-12-373552-2.X5000-0
   Bosomworth K, 2017, ENVIRON SCI POLICY, V76, P23, DOI 10.1016/j.envsci.2017.06.007
   Brugnach M, 2008, ECOL SOC, V13
   Bryman A., 2016, Social Research Methods, V5th
   Campbell CJ, 2022, MAR FRESHWATER RES, V73, P1212, DOI 10.1071/MF20338
   Capon SJ, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00080
   Citroen CL, 2011, INT J INFORM MANAGE, V31, P493, DOI 10.1016/j.ijinfomgt.2011.02.005
   Clifford KR, 2022, BIOSCIENCE, V72, P57, DOI 10.1093/biosci/biab086
   Clifford KR, 2020, ENVIRON MANAGE, V66, P614, DOI 10.1007/s00267-020-01336-y
   Cook CN, 2013, CONSERV BIOL, V27, P669, DOI 10.1111/cobi.12050
   Cook CN, 2010, FRONT ECOL ENVIRON, V8, P181, DOI 10.1890/090020
   Courtney H, 1997, HARVARD BUS REV, V75, P66
   DEPI, 2013, FLOWS METH DET ENV W
   Dewulf A, 2018, POLICY SOC, V37, P441, DOI 10.1080/14494035.2018.1504484
   Dietz T, 2013, P NATL ACAD SCI USA, V110, P14081, DOI 10.1073/pnas.1212740110
   Dilling L, 2015, WEATHER CLIM SOC, V7, P5, DOI 10.1175/WCAS-D-14-00001.1
   Doolan J. M., 2017, WATER ENV POLICY SCI
   DORNER D, 1990, PHILOS T ROY SOC B, V327, P463, DOI 10.1098/rstb.1990.0089
   Fletcher SM, 2017, J WATER RES PLAN MAN, V143, DOI [10.1061/(asce)wr.1943-5452.0000823, 10.1061/(ASCE)WR.1943-5452.0000823]
   Gideon L., 2012, HDB SURVEY METHODOLO, DOI DOI 10.1007/978-1-4614-3876-2
   Giehl ELH, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0169917
   Gray S, 2020, MAR POLICY, V111, DOI 10.1016/j.marpol.2016.04.031
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Hagerman SM, 2014, ECOL APPL, V24, P548, DOI 10.1890/13-0400.1
   Hallegatte S., 2012, Policy Research Working Paper - World Bank
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Helmrich AM, 2022, SUSTAIN RESIL INFRAS, V7, P83, DOI 10.1080/23789689.2019.1708179
   Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338
   Höllermann B, 2017, ENVIRON SCI POLICY, V71, P9, DOI 10.1016/j.envsci.2017.02.003
   Horne A, 2016, ENVIRON MODELL SOFTW, V84, P326, DOI 10.1016/j.envsoft.2016.06.028
   Horne AC, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.808943
   Horne AC, 2017, WATER FOR THE ENVIRONMENT: FROM POLICY AND SCIENCE TO IMPLEMENTATION AND MANAGEMENT, P361, DOI 10.1016/B978-0-12-803907-6.00017-6
   Jensen O, 2016, POLICY SOC, V35, P115, DOI 10.1016/j.polsoc.2016.07.002
   John A, 2020, J WATER CLIM CHANGE, V11, P327, DOI 10.2166/wcc.2020.263
   Judd Meegan, 2023, Ecology and Society, V28, DOI 10.5751/ES-13883-280121
   Judd M, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.714877
   Kiem AS, 2016, J WATER CLIM CHANGE, V7, P263, DOI 10.2166/wcc.2015.040
   Kong R, 2021, LAND USE POLICY, V105, DOI 10.1016/j.landusepol.2021.105404
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Kwakkel Jan H., 2010, International Journal of Technology, Policy and Management, V10, P299, DOI 10.1504/IJTPM.2010.036918
   Kwakkel JH, 2016, ENVIRON MODELL SOFTW, V86, P168, DOI 10.1016/j.envsoft.2016.09.017
   Lawrence J, 2018, ENVIRON SCI POLICY, V82, P100, DOI 10.1016/j.envsci.2018.01.012
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lempert RJ, 2010, TECHNOL FORECAST SOC, V77, P960, DOI 10.1016/j.techfore.2010.04.007
   Lipshitz R, 1997, ORGAN BEHAV HUM DEC, V69, P149, DOI 10.1006/obhd.1997.2679
   Maani K., 2013, DECISION MAKING CLIM
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Matrosov ES, 2013, J HYDROL, V494, P43, DOI 10.1016/j.jhydrol.2013.03.006
   McLoughlin CA, 2020, RIVER RES APPL, V36, P681, DOI 10.1002/rra.3607
   Moallemi EA, 2020, ENVIRON MODELL SOFTW, V123, DOI 10.1016/j.envsoft.2019.104551
   Mukherjee N, 2018, METHODS ECOL EVOL, V9, P54, DOI 10.1111/2041-210X.12940
   O'Brien KL, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P164
   Oberlack C, 2018, J I ECON, V14, P527, DOI 10.1017/S1744137417000509
   Page R, 2020, CLIMATIC CHANGE, V161, P499, DOI 10.1007/s10584-020-02712-7
   Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009
   Pasquini L., 2019, PSYCHOL DECISION MAK
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Poff NL., 2017, Water for the Environment: from Policy and Science to Implementation and Management
   Polasky S, 2011, TRENDS ECOL EVOL, V26, P398, DOI 10.1016/j.tree.2011.04.007
   Radke N, 2017, ANN FOREST SCI, V74, DOI 10.1007/s13595-017-0641-2
   Regan HM, 2002, ECOL APPL, V12, P618, DOI 10.2307/3060967
   Retief F, 2013, IMPACT ASSESS PROJ A, V31, P13, DOI 10.1080/14615517.2013.768007
   Ryder DS, 2010, MAR FRESHWATER RES, V61, P821, DOI 10.1071/MF10113
   Saft M, 2016, WATER RESOUR RES, V52, P9290, DOI 10.1002/2016WR019525
   Serrao-Neumann S, 2019, ECOSYST SERV, V38, DOI 10.1016/j.ecoser.2019.100967
   Shepherd TG, 2018, CLIMATIC CHANGE, V151, P555, DOI 10.1007/s10584-018-2317-9
   Shi R, 2019, CLIMATIC CHANGE, V157, P611, DOI 10.1007/s10584-019-02579-3
   Siders AR, 2021, CURR OPIN ENV SUST, V52, P1, DOI 10.1016/j.cosust.2021.03.017
   Singh AS, 2020, CLIMATIC CHANGE, V162, P1047, DOI 10.1007/s10584-020-02860-w
   Singh R, 2015, ECOL SOC, V20, DOI 10.5751/ES-07687-200312
   St-Laurent GP, 2021, COMMUN BIOL, V4, DOI 10.1038/s42003-020-01556-2
   Stein BA, 2013, FRONT ECOL ENVIRON, V11, P502, DOI 10.1890/120277
   Stults M, 2020, J PLAN EDUC RES, V40, P416, DOI 10.1177/0739456X18769134
   Tharme RE, 2003, RIVER RES APPL, V19, P397, DOI 10.1002/rra.736
   Thompson LM, 2021, FISHERIES, V46, P8, DOI 10.1002/fsh.10506
   Thompson RM, 2019, RIVER RES APPL, V35, P466, DOI 10.1002/rra.3242
   Tonkin Z., 2020, VICTORIAN ENV FLOWS
   Urban MC, 2016, SCIENCE, V353, P1113, DOI 10.1126/science.aad8466
   Walliman N., 2015, Social research methods: The essentials
   Walter M., 2019, SOCIAL RES METHODS D
   Watts RJ, 2020, RIVER RES APPL, V36, P668, DOI 10.1002/rra.3620
   Weber ElkeU., 2001, Conflict and Tradeoffs in Decision Making
   Wodak J, 2015, FUTURES, V73, P176, DOI 10.1016/j.futures.2015.09.002
NR 89
TC 2
Z9 2
U1 0
U2 15
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD FEB 21
PY 2023
VL 11
AR 1074896
DI 10.3389/fenvs.2023.1074896
PG 13
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 9P1IJ
UT WOS:000944043500001
OA gold
DA 2025-01-10
ER

PT J
AU Birthwright, AT
AF Birthwright, Anne-Teresa
TI Negotiating politics and power: Perspectives on environmental justice
   from Jamaica's specialty coffee industry
SO GEOGRAPHICAL JOURNAL
LA English
DT Article
DE adaptation; coffee; environmental justice; Jamaica; power; smallholders
ID CLIMATE; VULNERABILITY; POLICY
AB The Jamaican specialty coffee industry operates in an ecologically sensitive landscape that is institutionally, politically and socio-economically complex. Birthed under colonial rule, the industry has undergone a confluence of events that have shaped its contemporary organisation and exacerbated deeply rooted institutional and structural conditions. Through the lens of environmental justice, the paper sheds light on the plural claims to justice under changing climatic conditions and reveals the politics of adaptation within the context of market capitalism. Using stakeholder interviews, the paper captures the articulations and manifestations of injustice by exploring the local perceptions of procedural justice and justice as recognition. Through an examination of power and politics, the paper begins by contextualising the pre-existing conditions that shape the disabling environment in which smallholders operate. This includes the neoliberal restructuring of the industry, smallholders' access to low farm gate prices, expensive farm inputs, low-value chain participation, and limited support services. As these conditions are exacerbated by climate change impacts, the paper then discusses the disparity in justice claims between farmers and industry stakeholders surrounding the deployment of suitable climate change adaptation response. This is an area of contestation, as even though smallholders face multiple stressors, industry leaders have continued to operate the island's major coffee-producing spaces as areas where profits can be mined and privileges reinforced. Effectively, the smallholder livelihoods embedded within Jamaica's coffee-producing landscapes have been subjected to asymmetrical structures of power which legitimise whose voices are heard and which adaptation pathway takes precedence, thus generating injustices, nurturing vulnerabilities and stifling agency.
C1 [Birthwright, Anne-Teresa] Interamer Inst Global Change Res IAI, Montevideo, Uruguay.
RP Birthwright, AT (corresponding author), Interamer Inst Global Change Res IAI, Montevideo, Uruguay.
EM annetbirthwright@yahoo.com
OI Birthwright, Anne-Teresa/0000-0001-6334-8790
CR Ahmed S, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.708013
   Amiri M, 2020, J ENVIRON STUD SCI, V10, P210, DOI 10.1007/s13412-019-00575-8
   [Anonymous], 2011, An assessment of the economic impact of climate change on the agriculture sector in Jamaica
   Avelino J, 2005, J SCI FOOD AGR, V85, P1869, DOI 10.1002/jsfa.2188
   Barker D., 2012, Caribbean Studies, V40, P41, DOI [DOI 10.1353/CRB.2012.0027, DOI 10.1353/crb.2012.0027]
   Bell K, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/125017
   Beretta I., 2012, CES, V17, DOI DOI 10.4000/ECES.1135
   Birthwright A.-T., 2021, SOCIAL EC STUDIES J, V70, P102
   Birthwright Anne-Teresa., 2015, Caribbean Geography, V20, P41
   Bote AD, 2017, NJAS-WAGEN J LIFE SC, V83, P39, DOI 10.1016/j.njas.2017.09.002
   Bryant B., 1995, Environmental Justice: Issues, Policies, and Solutions
   BULLARD RD, 1983, SOCIOL INQ, V53, P273, DOI 10.1111/j.1475-682X.1983.tb00037.x
   Caswell Hal, 2001, pi
   Cheng B, 2016, TRENDS FOOD SCI TECH, V57, P20, DOI 10.1016/j.tifs.2016.09.003
   Cornwall Andrea., 2007, Spaces for Change? The Politics of Participation in New Democratic Arenas
   CUTTER SL, 1995, PROG HUM GEOG, V19, P111, DOI 10.1177/030913259501900111
   Dallas M., 2017, 92 COP BUS SCH
   Daly J., 2018, JAMAICA ARABICA COFF
   Dawson N, 2018, ROU STUD ECOSYS SERV, P22
   Faber D., 2018, Capitalism Nature Socialism, V29, P8, DOI [https://doi.org/10.1080/10455752.2018.1464250, DOI 10.1080/10455752.2018.1464250]
   Gaventa J, 2006, IDS BULL-I DEV STUD, V37, P23, DOI 10.1111/j.1759-5436.2006.tb00320.x
   Guido Z, 2020, WORLD DEV, V132, DOI 10.1016/j.worlddev.2020.104979
   Guido Z, 2018, CLIMATIC CHANGE, V147, P253, DOI 10.1007/s10584-017-2125-7
   Holifield R., 2018, REV AGR FOOD ENV STU, V99, P303, DOI DOI 10.1007/S41130-018-0078-5
   Hoy HE, 1938, ECON GEOGR, V14, P409, DOI 10.2307/141534
   ICO, 2020, COFF MARK REP
   Isgren E, 2021, J ENVIRON DEV, V30, P68, DOI 10.1177/1070496520974407
   Jones O, 2008, MATERIAL AGENCY:TOWARDS A NON-ANTHROPOCENTRIC APPROACH, P79, DOI 10.1007/978-0-387-74711-8_5
   Kelman I., 2009, ECOL ENVIRON ANTHROP, V5
   Klak T, 2011, PROG DEV STUD, V11, P33, DOI 10.1177/146499341001100103
   Knappett C, 2008, MATERIAL AGENCY:TOWARDS A NON-ANTHROPOCENTRIC APPROACH, pIX
   Lau JD, 2021, GLOBAL ENVIRON CHANG, V66, DOI 10.1016/j.gloenvcha.2020.102208
   Lavelle Marianne., 1992, NATL LAW J, V15, pS1
   Martin A, 2016, BIOL CONSERV, V197, P254, DOI 10.1016/j.biocon.2016.03.021
   Masson-Delmotte V., 2021, CLIMATE CHANGE 2014, DOI [10.1016/S0925-7721(01)00003-7, DOI 10.1016/S0925-7721(01)00003-7]
   MAXWELL JA, 1992, HARVARD EDUC REV, V62, P279, DOI 10.17763/haer.62.3.8323320856251826
   Mighty M, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11020121
   Mighty MA, 2015, APPL GEOGR, V58, P84, DOI 10.1016/j.apgeog.2015.01.010
   Mikulewicz M, 2018, CLIM DEV, V10, P18, DOI 10.1080/17565529.2017.1304887
   Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613
   Oxfam, 2014, QUICK GUID POW AN
   Pellow DN, 2016, J RURAL STUD, V47, P381, DOI 10.1016/j.jrurstud.2016.06.018
   PIOJ (Planning Institute of Jamaica), 2021, EC SOC SOC SURV JAM
   Rhiney K, 2018, SMALL AXE, V22, P68, DOI 10.1215/07990537-7249150
   Rhiney K, 2018, REG ENVIRON CHANGE, V18, P2313, DOI 10.1007/s10113-018-1409-4
   Rhiney K, 2015, GEOGR COMPASS, V9, P97, DOI 10.1111/gec3.12199
   Schlosberg D, 2014, WIRES CLIM CHANGE, V5, P359, DOI 10.1002/wcc.275
   Smith RAJ, 2016, GEOFORUM, V73, P22, DOI 10.1016/j.geoforum.2015.11.008
   Statista, 2020, Global digital population as of October 2020
   Sultana F, 2022, GEOGR J, V188, P118, DOI 10.1111/geoj.12417
   Sze J, 2009, ENVIRON JUSTICE, V2, P179, DOI 10.1089/env.2009.0028
   Taylor M, 2013, CLIM DEV, V5, P318, DOI 10.1080/17565529.2013.830954
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Ward C.J., 1893, WORLDS FAIR JAMAICA
NR 54
TC 4
Z9 4
U1 1
U2 13
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0016-7398
EI 1475-4959
J9 GEOGR J
JI Geogr. J.
PD DEC
PY 2023
VL 189
IS 4
BP 653
EP 665
DI 10.1111/geoj.12465
EA JUL 2022
PG 13
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA Y4YI9
UT WOS:000822353700001
OA Bronze
DA 2025-01-10
ER

PT J
AU Hayles, CS
   Huddleston, M
   Chinowsky, P
   Helman, J
AF Hayles, Carolyn S.
   Huddleston, Matt
   Chinowsky, Paul
   Helman, Jacob
TI Summertime impacts of climate change on dwellings in Wales, UK
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Adaptations; Climate change; Climate modelling; Overheating; Damp;
   Vulnerabilities
ID FUTURE WEATHER DATA; INDOOR AIR-QUALITY; MOLD GROWTH; ENERGY
   PERFORMANCE; RELATIVE-HUMIDITY; TEMPERATURE; ENVIRONMENT; BUILDINGS;
   DEMAND; HEALTH
AB Wales's climate is predicted to be warmer and wetter, and 'hot' summers are expected to become more commonplace by the middle of this century. Whilst the focus of climate change adaptation in Wales has been wintertime decarbonisation through the introduction of energy efficiency measures, Welsh Government now want to understand the summertime impacts of climate change on the occupants of Welsh housing. The aim of this project was to test the hypothesis that summertime indoor housing conditions in Wales will diminish as a consequence of climate change. A six-week period from 22nd July-31st August was modelled using UK 2018 local climate projections, baseline, 2030 and 2070 respectively. The results reveal increased incidences of summertime overheating in a majority of dwellings. The poorest performing dwellings were post 1990 dwellings, flats and properties with internal wall insulation. The results show that cooling strategies to reduce indoor air temperature will increasingly be required. The other indoor vulnerability modelled was that of moisture. Results demonstrate the potential for poorer indoor environmental quality due to increased relative humidity. Every location will experience increases in relative humidity regardless of dwelling typology. Relative humidity will be highest in pre-1919 dwellings and dwellings with solid stone walls. The results show that ventilation strategies to improve the extraction of moisture-laden air, whilst diluting the concentration of pollutants that are present indoors, are required if these dwellings are to avoid increased incidences of condensation, damp, and mould growth, and adverse impacts from other allergens, particles and pollutants.
C1 [Hayles, Carolyn S.] Cardiff Metropolitan Univ, Cardiff Sch Art & Design, Western Ave, Cardiff CF5 2YB, Wales.
   [Huddleston, Matt; Helman, Jacob] Resilient Analyt, 814 Trail Ridge Dr, Louisville, CO 80027 USA.
   [Chinowsky, Paul] Univ Colorado, Program Environm Design, 314 UCB 1060 18th St, Boulder, CO 80309 USA.
C3 Cardiff Metropolitan University; University of Colorado System;
   University of Colorado Boulder
RP Hayles, CS (corresponding author), Cardiff Metropolitan Univ, Cardiff Sch Art & Design, Western Ave, Cardiff CF5 2YB, Wales.
EM cshayles@cardiffmet.ac.uk; mhuddleston@resilient-analytics.com;
   Paul.Chinowsky@colorado.edu; jhelman@resilient-analytics.com
OI Hayles, Carolyn/0000-0002-0811-0816
FU Welsh Government - Environmental Evidence Programme
FX This work was supported by Welsh Government through a climate embedded
   research fellowship funded by the Environmental Evidence Programme.
CR Abuku M, 2009, ENERG BUILDINGS, V41, P101, DOI 10.1016/j.enbuild.2008.07.011
   Aguiar R., 2002, Building Services Engineering Research and Technology, V234, P223, DOI [DOI 10.1191/0143624402BT0450A, DOI 10.1191/0143624402BT045OA, 10.1191/0143624402bt045oa]
   ARUNDEL AV, 1986, ENVIRON HEALTH PERSP, V65, P351, DOI 10.2307/3430203
   Asimakopoulos DA, 2012, ENERG BUILDINGS, V49, P488, DOI 10.1016/j.enbuild.2012.02.043
   Baborska-Narozny M, 2017, ENRGY PROCED, V111, P578, DOI 10.1016/j.egypro.2017.03.219
   Beizaee A, 2013, BUILD ENVIRON, V65, P1, DOI 10.1016/j.buildenv.2013.03.011
   Carmichael L, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2020.137146
   Cartalis C, 2001, ENERG CONVERS MANAGE, V42, P1647, DOI 10.1016/S0196-8904(00)00156-4
   CIBSE, 2017, CHART I BUILD SERV E, P1
   Coley D, 2012, BUILD ENVIRON, V55, P159, DOI 10.1016/j.buildenv.2011.12.011
   Committee on Climate Change, 2019, UK housing: Fit for the future?
   D'Ippoliti D, 2010, ENVIRON HEALTH-GLOB, V9, DOI 10.1186/1476-069X-9-37
   European Commission, 2014, ADAPTATION CLIMATE C
   Guide A, 2015, Environmental Design
   Gupta R, 2013, BUILD RES INF, V41, P281, DOI 10.1080/09613218.2013.772043
   Hosseini M, 2018, J BUILD ENG, V17, P107, DOI 10.1016/j.jobe.2018.02.001
   Isaksson T, 2010, BUILD ENVIRON, V45, P1712, DOI 10.1016/j.buildenv.2010.01.023
   Johansson P, 2021, J BUILD ENG, V40, DOI 10.1016/j.jobe.2021.102301
   Johansson P, 2014, BUILD ENVIRON, V81, P404, DOI 10.1016/j.buildenv.2014.07.002
   Johansson S, 2010, BUILD ENVIRON, V45, P1153, DOI 10.1016/j.buildenv.2009.10.022
   King C., 2016, SOLID WALL HEAT LOSS
   Lankester P, 2012, SCI TOTAL ENVIRON, V417, P248, DOI 10.1016/j.scitotenv.2011.12.026
   Li DHW, 2012, ENERGY, V42, P103, DOI 10.1016/j.energy.2012.03.044
   Mavrogianni A, 2010, OPEN HOUSE INT, V35, P49
   Mavrogianni A, 2012, BUILD ENVIRON, V55, P117, DOI 10.1016/j.buildenv.2011.12.003
   McGill G, 2016, ARCHIT SCI REV, V59, P159, DOI 10.1080/00038628.2015.1078222
   Mirasgedis S, 2007, ENERG CONVERS MANAGE, V48, P1737, DOI 10.1016/j.enconman.2006.10.022
   Moazami A, 2019, APPL ENERG, V238, P696, DOI 10.1016/j.apenergy.2019.01.085
   Moreau-Guigon E, 2016, ATMOS ENVIRON, V147, P423, DOI 10.1016/j.atmosenv.2016.10.006
   Mulville M, 2016, BUILD RES INF, V44, P520, DOI 10.1080/09613218.2016.1153355
   Nguyen JL, 2016, INT J BIOMETEOROL, V60, P221, DOI 10.1007/s00484-015-1019-5
   Pegas PN, 2011, ENVIRON GEOCHEM HLTH, V33, P455, DOI 10.1007/s10653-010-9345-3
   Pilli-Sihvola K, 2010, ENERG POLICY, V38, P2409, DOI 10.1016/j.enpol.2009.12.033
   Sedlbauer K., 2002, J BUILD PHYS, V25, P321, DOI DOI 10.1177/0075424202025004093
   Tamerius JD, 2013, WEATHER CLIM SOC, V5, P168, DOI 10.1175/WCAS-D-12-00030.1
   UK Government, 2008, CLIM CHANG ACT 2008
   Wang XM, 2010, BUILD ENVIRON, V45, P1663, DOI 10.1016/j.buildenv.2010.01.022
   Wang Y, 2017, RENEW SUST ENERG REV, V72, P1303, DOI 10.1016/j.rser.2016.10.039
   Welsh Government, 2015, WELL BEING FUT GEN W
   Welsh Government, 2020, STAT WELSH HOUS COND
   WHO, 2009, Guidelines for Indoor Air Quality: Dampness and Mould
NR 41
TC 4
Z9 5
U1 0
U2 17
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 JUL 1
PY 2022
VL 219
AR 109185
DI 10.1016/j.buildenv.2022.109185
EA MAY 2022
PG 17
WC Construction & Building Technology; Engineering, Environmental;
   Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Construction & Building Technology; Engineering
GA 1Y9NW
UT WOS:000808464300001
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Kapwata, T
   Wright, CY
   du Preez, DJ
   Kunene, Z
   Mathee, A
   Ikeda, T
   Landman, W
   Maharaj, R
   Sweijd, N
   Minakawa, N
   Blesic, S
AF Kapwata, Thandi
   Wright, Caradee Y.
   du Preez, David Jean
   Kunene, Zamantimande
   Mathee, Angela
   Ikeda, Takayoshi
   Landman, Willem
   Maharaj, Rajendra
   Sweijd, Neville
   Minakawa, Noboru
   Blesic, Suzana
TI Exploring rural hospital admissions for diarrhoeal disease, malaria,
   pneumonia, and asthma in relation to temperature, rainfall and air
   pollution using wavelet transform analysis
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Climate change; Environmental health; Infectious disease; Respiratory
   disease
ID TIME-SERIES; DISTRIBUTION MODEL; CLIMATE-CHANGE; SOUTH-AFRICA;
   MORTALITY; TRANSMISSION; SEASONALITY; ASSOCIATION; HUMIDITY; SPECTRA
AB Background: Climate variables impact human health and in an era of climate change, there is a pressing need to understand these relationships to best inform how such impacts are likely to change.
   Objectives: This study sought to investigate time series of daily admissions from two public hospitals in Limpopo province in South Africa with climate variability and air quality.
   Methods: We used wavelet transform cross-correlation analysis to monitor coincidences in changes of meteorological (temperature and rainfall) and air quality (concentrations of PM2.5 and NO2) variables with admissions to hospitals for gastrointestinal illnesses including diarrhoea, pneumonia-related diagnosis, malaria and asthma cases. We were interested to disentangle meteorological or environmental variables that might be associated with underlying temporal variations of disease prevalence measured through visits to hospitals.
   Results: We found preconditioning of prevalence of pneumonia by changes in air quality and showed that malaria in South Africa is a multivariate event, initiated by co-occurrence of heat and rainfall. We provided new statistical estimates of time delays between the change of weather or air pollution and increase of hospital admissions for pneumonia and malaria that are addition to already known seasonal variations. We found that increase of prevalence of pneumonia follows changes in air quality after a time period of 10 to 15 days, while the increase of incidence of malaria follows the co-occurrence of high temperature and rainfall after a 30-day interval.
   Discussion: Our findings have relevance for early warning system development and climate change adaptation planning to protect human health and well-being. (C) 2021 Elsevier B.V. All rights reserved.
C1 [Kapwata, Thandi; Kunene, Zamantimande; Mathee, Angela] South African Med Res Council, Environm & Hlth Res Unit, Johannesburg, South Africa.
   [Kapwata, Thandi; Mathee, Angela] Univ Johannesburg, Dept Environm Hlth, Fac Hlth Sci, Johannesburg, South Africa.
   [Wright, Caradee Y.] South African Med Res Council, Environm & Hlth Res Unit, Pretoria, South Africa.
   [Wright, Caradee Y.; du Preez, David Jean; Landman, Willem] Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa.
   [du Preez, David Jean] Univ La Reunion, MeteoFrance, UMR CNRS 8105, Lab Atmosphere & Cyclones, F-97744 St Denis De La Reunion, France.
   [Mathee, Angela] Univ Witwatersrand, Sch Publ Hlth, ZA-2028 Johannesburg, South Africa.
   [Mathee, Angela] Nelson Mandela Univ, Dept Environm Hlth, Fac Hlth Sci, Port Elizabeth, South Africa.
   [Ikeda, Takayoshi] Blue Earth Secur Co Ltd, Chiyoda Ku, Tokyo, Japan.
   [Landman, Willem] Columbia Univ, Earth Inst, Int Res Inst Climate & Soc, New York, NY 10964 USA.
   [Maharaj, Rajendra] South African Med Res Council, Off Malaria Res, Durban, South Africa.
   [Sweijd, Neville] Natl Res Fdn, Appl Ctr Climate & Earth Syst Sci, Cape Town, South Africa.
   [Minakawa, Noboru] Nagasaki Univ, Inst Trop Med, Nagasaki, Japan.
   [Blesic, Suzana] Univ Belgrade, Inst Med Res, Belgrade, Serbia.
   [Blesic, Suzana] Ctr Participatory Sci, Belgrade, Serbia.
C3 South African Medical Research Council; University of Johannesburg;
   South African Medical Research Council; University of Pretoria;
   University of La Reunion; Meteo France; University of Witwatersrand;
   Nelson Mandela University; Columbia University; South African Medical
   Research Council; National Research Foundation - South Africa; Nagasaki
   University; University of Belgrade
RP Wright, CY (corresponding author), South African Med Res Council, 1 Soutpansberg Rd, ZA-0001 Pretoria, South Africa.
EM Caradee.Wright@mrc.ac.za
RI Sweijd, Neville/JXY-8210-2024; Landman, Willem/JVN-5114-2024; Blesic,
   Suzana/H-4439-2019
OI Sweijd, Neville/0000-0002-6713-0171; , Noboru/0000-0003-3664-9605
FU SAMRC; SATREPS (Science and Technology Research Partnership for
   Sustainable Development) Program of JICA (JAPAN International
   Cooperation Agency)/AMED (Japan Agency for Medical Research and
   Development) in Japan; ACCESS (Alliance for Collaboration on Climate and
   Earth Systems Science) program of NRF (National Research Foundation);
   DST (Department of Science and Technology in South Africa); Serbian
   Scientific Research Fund [451-03-9/2021-14/200015]
FX The authors would like to acknowledge the Copernicus Atmosphere
   Monitoring Service (CAMS) Atmosphere Data Store (ADS). CYW, TK, ZK and
   AM receive research funding from the SAMRC. This research was carried
   out for the iDEWS (infectious Diseases Early-Warning System) project
   supported by SATREPS (Science and Technology Research Partnership for
   Sustainable Development) Program of JICA (JAPAN International
   Cooperation Agency)/AMED (Japan Agency for Medical Research and
   Development) in Japan and the ACCESS (Alliance for Collaboration on
   Climate and Earth Systems Science) program of NRF (National Research
   Foundation) and DST (Department of Science and Technology in South
   Africa). SB received funding from the Serbian Scientific Research Fund
   grant no. 451-03-9/2021-14/200015.
CR Adam M, 2015, EUR RESPIR J, V45, P38, DOI 10.1183/09031936.00130014
   Addison P.S., 2002, The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science
   Addison PS, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0258
   Adegboye OA, 2020, J EXPO SCI ENV EPID, V30, P448, DOI 10.1038/s41370-019-0176-8
   Aguiar-Conraria L, 2014, J ECON SURV, V28, P344, DOI 10.1111/joes.12012
   Akompab DA, 2013, INT J ENV RES PUB HE, V10, P1, DOI 10.3390/ijerph10010001
   Astafeva NM, 1996, USP FIZ NAUK+, V166, P1145, DOI 10.1070/PU1996v039n11ABEH000177
   Blesic S, 2019, J CLIMATE, V32, P349, DOI 10.1175/JCLI-D-17-0823.1
   Bohnenstengel SI, 2015, B AM METEOROL SOC, V96, P779, DOI 10.1175/BAMS-D-12-00245.1
   Bunde A, 2012, ACTA GEOPHYS, V60, P562, DOI 10.2478/s11600-012-0034-8
   CDC, 2020, Acinetobacter in Healthcare Settings
   Chen CH, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51307-5
   Chowdhury FR, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0199579
   Christiansen T., 2010, EpiData-Comprehensive Data Management and Basic Statistical Analysis System
   Christophe Y., 2017, VALIDATION REPORT CA
   Cilloniz C, 2017, RESPIROLOGY, V22, P778, DOI 10.1111/resp.12978
   Climate Dialogue, 2014, EXT SUMM CLIM DIAL L
   CPC, 2001, CLIM PRED CTR CPC RA
   Craig MH, 1999, PARASITOL TODAY, V15, P105, DOI 10.1016/S0169-4758(99)01396-4
   Croft DP, 2019, ANN AM THORAC SOC, V16, P321, DOI 10.1513/AnnalsATS.201810-691OC
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Davison AC, 2003, STAT SCI, V18, P141
   Domingo JL, 2020, ENVIRON RES, V187, DOI 10.1016/j.envres.2020.109650
   Donges JF, 2016, EUR PHYS J-SPEC TOP, V225, P471, DOI 10.1140/epjst/e2015-50233-y
   Ebi K.L., 2003, Climate Change and Health: Risks and Responses
   Eccles R, 2002, ACTA OTO-LARYNGOL, V122, P183, DOI 10.1080/00016480252814207
   ECMWF, 2021, CAMS REAN DAT DOC
   Fares A, 2013, INT J PREVENTIVE MED, V4, P128
   FARGE M, 1992, ANNU REV FLUID MECH, V24, P395, DOI 10.1146/annurev.fl.24.010192.002143
   Fouillet A, 2006, INT ARCH OCC ENV HEA, V80, P16, DOI 10.1007/s00420-006-0089-4
   Franchini M, 2015, EUR J INTERN MED, V26, P1, DOI 10.1016/j.ejim.2014.12.008
   Frick P, 2001, MON NOT R ASTRON SOC, V327, P1145, DOI 10.1046/j.1365-8711.2001.04812.x
   Gerritsen AAM, 2008, MALARIA J, V7, DOI 10.1186/1475-2875-7-162
   Godsmark CN, 2019, ENVIRON INT, V122, P31, DOI 10.1016/j.envint.2018.11.035
   GOUPILLAUD P, 1984, GEOEXPLORATION, V23, P85, DOI 10.1016/0016-7142(84)90025-5
   GROSSMANN A, 1984, SIAM J MATH ANAL, V15, P723, DOI 10.1137/0515056
   Grossmann A., 1987, Adv. Electron. Electron. Phys., V19, P298
   Grover-Kopec EK, 2006, MALARIA J, V5, DOI 10.1186/1475-2875-5-38
   Gruzieva O, 2013, EPIDEMIOLOGY, V24, P54, DOI 10.1097/EDE.0b013e318276c1ea
   Hales S., 2003, Climate Change and Human Health: Risks and Responses, P79
   Hanna AF, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-49
   Hay SI, 2000, ADV PARASIT, V47, P173, DOI 10.1016/S0065-308X(00)47009-0
   Hirabayashi Y, 2013, NAT CLIM CHANGE, V3, P816, DOI [10.1038/nclimate1911, 10.1038/NCLIMATE1911]
   Ikeda T, 2019, ATMOSPHERE-BASEL, V10, DOI 10.3390/atmos10090522
   Ikeda T, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02680-6
   Inness A, 2019, ATMOS CHEM PHYS, V19, P3515, DOI 10.5194/acp-19-3515-2019
   Jhun I, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084009
   Kinney PL, 2008, AM J PREV MED, V35, P459, DOI 10.1016/j.amepre.2008.08.025
   Koscielny-Bunde E, 2006, J HYDROL, V322, P120, DOI 10.1016/j.jhydrol.2005.03.004
   Kumar KR, 2014, ATMOS ENVIRON, V95, P400, DOI 10.1016/j.atmosenv.2014.07.001
   Kwon SO, 2020, RESP RES, V21, DOI 10.1186/s12931-020-01514-w
   Lancaster G, 2018, PHYS REP, V748, P1, DOI 10.1016/j.physrep.2018.06.001
   Lin HC, 2009, CHRONOBIOL INT, V26, P1647, DOI 10.3109/07420520903520673
   Lokotola CL, 2020, ENVIRON SCI POLLUT R, V27, P16677, DOI 10.1007/s11356-020-07938-7
   Lowen AC, 2007, PLOS PATHOG, V3, P1470, DOI 10.1371/journal.ppat.0030151
   Mäkinen TM, 2009, RESP MED, V103, P456, DOI 10.1016/j.rmed.2008.09.011
   Morlet J., 1983, NATO ASI SER, VI, P233, DOI DOI 10.1007/978-3-642-82002-1_12
   Musa MI, 2012, GEOSPATIAL HEALTH, V7, P27, DOI 10.4081/gh.2012.102
   Nitschke M, 2011, ENVIRON HEALTH-GLOB, V10, DOI 10.1186/1476-069X-10-42
   Papanastasiou DK, 2015, ATMOS RES, V152, P4, DOI 10.1016/j.atmosres.2014.06.002
   PERRIER V, 1995, J MATH PHYS, V36, P1506, DOI 10.1063/1.531340
   Raymond C, 2020, NAT CLIM CHANGE, V10, P611, DOI 10.1038/s41558-020-0790-4
   Rhif M, 2019, APPL SCI-BASEL, V9, DOI 10.3390/app9071345
   Rodríguez-Murillo JC, 2020, HYDROLOGY-BASEL, V7, DOI 10.3390/hydrology7040082
   Rust HW, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD009919
   SCHWARTZ J, 1991, ENVIRON RES, V56, P1, DOI 10.1017/CBO9780511563980.002
   Scovronick N, 2018, ENVIRON RES, V161, P229, DOI 10.1016/j.envres.2017.11.001
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Singh P, 2017, P ROY SOC A-MATH PHY, V473, DOI 10.1098/rspa.2016.0871
   Singh Virendra, 2014, Indian J Chest Dis Allied Sci, V56, P21
   Stratimirovic D, 2001, PHYSICA A, V291, P13, DOI 10.1016/S0378-4371(00)00495-7
   Stratimirovic D, 2007, PHYSICA A, V374, P699, DOI 10.1016/j.physa.2006.08.075
   Stratimirovic D, 2018, COMMUN NONLINEAR SCI, V54, P21, DOI 10.1016/j.cnsns.2017.05.009
   Sun XM, 2014, ENVIRON HEALTH-GLOB, V13, DOI 10.1186/1476-069X-13-76
   Thomson MC., 2019, CLIMATE INFORM PUBLI, V1
   Tian DD, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0173409
   Torrence C, 1998, B AM METEOROL SOC, V79, P61, DOI 10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
   Vanos JK, 2015, AIR QUAL ATMOS HLTH, V8, P307, DOI 10.1007/s11869-014-0266-7
   Vanos JK, 2014, ENVIRON POLLUT, V185, P322, DOI 10.1016/j.envpol.2013.11.007
   Wichmann J, 2017, SCI TOTAL ENVIRON, V587, P266, DOI 10.1016/j.scitotenv.2017.02.135
   WMO, 2013, 1119 WMO
   World Health Organization, 2006, WHO Air Quality Guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide: global update 2005
   Wu X, 2020, MANAGEMENT TRANSFORMATION OF HUAWEI, P1, DOI 10.1017/9781108550987
   Xu ZW, 2014, ENVIRON RES, V132, P334, DOI 10.1016/j.envres.2014.04.021
   Ziervogel G, 2014, WIRES CLIM CHANGE, V5, P605, DOI 10.1002/wcc.295
   Zscheischler J, 2020, NAT REV EARTH ENV, V1, P333, DOI 10.1038/s43017-020-0060-z
NR 86
TC 18
Z9 20
U1 0
U2 31
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 15
PY 2021
VL 791
AR 148307
DI 10.1016/j.scitotenv.2021.148307
EA JUN 2021
PG 15
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA UB7GL
UT WOS:000686010000003
PM 34139502
OA Green Submitted, Bronze
DA 2025-01-10
ER

PT J
AU Lee, S
AF Lee, Suyeon
TI In the Era of Climate Change: Moving Beyond Conventional Agriculture in
   Thailand
SO ASIAN JOURNAL OF AGRICULTURE AND DEVELOPMENT
LA English
DT Article
DE Thailand; organic agriculture; climate change adaptation; agricultural
   cooperatives; sustainable development
ID CONSUMER PERCEPTIONS; FOODS
AB Thailand is ranked among the top 10 countries most vulnerable to climate change, and its farmers have faced the risk of natural disasters almost every year for nearly 30 years. However, those affected by climate change have also been the largest contributors to climate change, increasing the risks they will face in the near future. The intensive use of chemical pesticides in conventional agriculture has harmed not only the environment and biodiversity but health of both users and consumers. Responding to these problems, several policies have been put in place over the past decades to reduce pesticide usage as well as to encourage farmers to switch to low-carbon and low-pesticide agriculture, namely, organic agriculture.
   This study reviews policies related to the development of organic agriculture in Thailand and examines whether organic agriculture is an effective adaptation and mitigation strategy to climate change that can also generate enough food. This study finds that the organic sector has been largely driven by the private sector, particularly the agricultural cooperatives and non-governmental organizations (NGOs), which have provided various support ranging from technology transfer, production, financing, distribution, to marketing of organic products. Their role is vital in encouraging farmers to switch to organic farming and growing market opportunities for organic goods. Nevertheless, constraints including inconsistent policies and limited support from the government remain, which, to some extent, weakens the efforts to build sustainable agriculture and climate resilience. To improve organic farming, there is a need for the government agencies to work together with all relevant stakeholders in the organic sector, namely agricultural cooperatives, NGOs, and consumers.
C1 [Lee, Suyeon] Seoul Natl Univ, Asia Dev Inst, Seoul, South Korea.
C3 Seoul National University (SNU)
RP Lee, S (corresponding author), Seoul Natl Univ, Asia Dev Inst, Seoul, South Korea.
EM lee.suyeon@snu.ac.kr
RI Lee, Su/ABC-6038-2020
CR ADB, 2010, CLIM CHANG SE AS FOC
   [Anonymous], 2003, Organic agriculture: Sustainability, markets, and policies
   [Anonymous], 2018, Thailand economic monitor - June 2016: Aging society and economy
   [Anonymous], 2006, WORLD ORGANIC AGR ST
   [Anonymous], 2012, HLTH IND SUST AGR FO
   [Anonymous], 2017, OECD-FAO Agricultural Outlook 2017-2026
   [Anonymous], 2018, BANGKOK POST
   Bavec M, 2015, BIODIVERSITY IN ECOSYSTEMS - LINKING STRUCTURE AND FUNCTION, P185, DOI 10.5772/58974
   Bertramsen S.K., 2002, Economics Commentator, Paper 417
   Brinton Will, 2004, J BIODYNAMICS, V2, P16
   Brumfield R. G., 2000, HortTechnology, V10, P785
   Bureau of Budget, 2013, ORG AGR BUDG 2005 2 ORG AGR BUDG 2005 2
   Burlingame B, 2012, SUST DIETS BIOD DIR
   Carambas Maria Christina DM, 2005, EC ANAL ECOLABELING EC ANAL ECOLABELING
   Chainuvati Chavalvut, 2000, CROP DIVERSIFICAITON
   Chinvarasopak P., 2015, Thai J Public Adm, V13, P105, DOI [10.14456/pa.2015.9, DOI 10.14456/PA.2015.9]
   CLT (Cooperative League of Thailand), 2020, COOP INF COOP INF
   Cooperative Promotion Department, 2018, ANN STAT COOP AGR GR ANN STAT COOP AGR GR
   Eckstein David., 2018, GLOBAL CLIMATE RISK
   Ellis W., 2006, Strengthening the export capacity of Thailand's organic agriculture
   EU Gateway, 2019, ORG FOOD BEV THAIL M ORG FOOD BEV THAIL M
   European Commission, EDGAR - Emissions Database for Global Atmospheric Research
   Eyhorn Frank., 2007, Organic Farming for Sustainable Livelihoods in Developing Countries?: The Case of Cotton in India. vdf Hochschulverlag AG
   FFTC (Food and Fertilizer Technology Center), 2017, NEWSLETTER, V197
   Frohlich Thomas C., 2019, 247 WALL ST 0605 247 WALL ST 0605
   Gillman J., 2008, The truth about organic gardening: Benefits, drawbacks, and the bottom line
   Global Organic Trade Guide, ORG PACK FOOD BEV DA ORG PACK FOOD BEV DA
   Government Public Relations Department The, 2014, NEW STRAT DEV THAIL NEW STRAT DEV THAIL
   Green Net, 2016, ORGANIC FARMING
   Green Net Cooperative, 2020, GREENN GREENN
   Haas R, 2010, LOOKING EAST, LOOKING WEST: ORGANIC AND QUALITY FOOD MARKETING IN ASIA AND EUROPE, P1, DOI 10.3921/978-90-8686-703-5
   Hanson J, 2003, ORGANIC AGRICULTURE: SUSTAINABILITY, MARKETS AND POLICIES, P153, DOI 10.1079/9780851997407.0153
   Hoegh-Guldberg Ove, 2018, GLOBAL WARMING 1 5 I GLOBAL WARMING 1 5 I
   IEA (International Energy Agency), 2020, PUTT PRIC CARB EFF W PUTT PRIC CARB EFF W
   IPCC, 2007, CLIM CHANG 2007 MIT
   IPCC (Intergovernmental Panel on Climate, 2015, CLIMATE CHANGE 2014
   Kerdnoi T., 2014, Environment and Natural Resources Journal, V12, P95
   Knoema, 2019, WORLD DAT ATL
   Land Development Department, 2019, DRAFT ORG AGR ACT PL DRAFT ORG AGR ACT PL
   Makita Rie, 2017, FAIR TRADE ORGANIC I, V1st, DOI [10.4324/9781315622941, DOI 10.4324/9781315622941]
   Mekongcommons.org, 2016, ORG RIC NE THAIL IMP ORG RIC NE THAIL IMP
   Mingcha C., 2008, 46 KAS U ANN C KAS U 46 KAS U ANN C KAS U
   NAMA Facility, 2020, BETT RIC BETT RIC
   NCOAD (National Committee on Organic Agriculture Development), 2017, NAT ORG AGR STR 2017 NAT ORG AGR STR 2017
   NESDB (National Economic and Social Development Board), 2008, 1 NAT STRAT PLAN ORG 1 NAT STRAT PLAN ORG
   Nieberg H, 2003, ORGANIC AGRICULTURE: SUSTAINABILITY, MARKETS AND POLICIES, P141, DOI 10.1079/9780851997407.0141
   OAE (Office of Agricultural Economics), 2013, DRAFT 2 NAT STRAT PL DRAFT 2 NAT STRAT PL
   Office of Agricultural Economics (OAE), 2020, ORG AGR ACT PLAN 201
   ONEP (Office of Natural Resources and Environmental Policy and Planning), 2018, 2 BIENN UPD REP SBUR 2 BIENN UPD REP SBUR
   Pacini C, 2003, AGR ECOSYST ENVIRON, V95, P273, DOI 10.1016/S0167-8809(02)00091-9
   Panpluem N, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11246974
   Panyakul Vitoon, 2003, PRODUCTION EXPORT OR
   Pariona A., 2017, WORLDATLAS
   Pimentel D, 2005, BIOSCIENCE, V55, P573, DOI 10.1641/0006-3568(2005)055[0573:EEAECO]2.0.CO;2
   Pongsrihadulchai Apichart, 2020, FFTC AGR POLICY PLAT
   Rahmann G, 2011, LANDBAUFORSCHUNG-GER, V61, P189
   Rayfuse R, 2012, CHALLENGE OF FOOD SECURITY: INTERNATIONAL POLICY AND REGULATORY FRAMEWORKS, P1, DOI 10.4337/9780857939388
   Roitner-Schobesberger B, 2008, FOOD POLICY, V33, P112, DOI 10.1016/j.foodpol.2007.09.004
   Rundlf M., 2016, Encyclopedia of Life Sciences, DOI [10.1002/9780470015902.a0026342, DOI 10.1002/9780470015902.A0026342]
   Sanitsuda Ekachai, 2016, BANGKOK POST OPINION BANGKOK POST OPINION
   SCB Economic Intelligence Center, 2017, BANGKOK POST
   Setboonsarng S., 2006, Contract farming and poverty reduction: the case of organic rice contract farming in Thailand
   Statista Research Department, 2018, STATISTA 1022 STATISTA 1022
   Tanrattanaphong Borworn, 2015, FOOD FERTILIZER TECH
   Tawatsin A., 2015, Med Res Arch, V3, DOI [10.18103/mra.v0i3.176, DOI 10.18103/MRA.V0I3.176]
   UNDP (United Nations Development Programme), 2016, HUMAN DEV REPORT 201, DOI [10.18356/ea1-f3b1-en, DOI 10.18356/EA1-F3B1-EN]
   UNEP, 2019, Emissions Gap Report 2019
   USDA FAS (United States Department of Agriculture Foreign Agricultural Service), 2019, THAIL IMP THAIL FTAS THAIL IMP THAIL FTAS
   Wheeler SA, 2008, ECOL ECON, V65, P145, DOI 10.1016/j.ecolecon.2007.05.014
   Win H.E., 2017, FOOD FERT TECHN POL FOOD FERT TECHN POL
   Yiridoe EK, 2005, RENEW AGR FOOD SYST, V20, P193, DOI 10.1079/RAF2005113
NR 71
TC 5
Z9 6
U1 3
U2 19
PU SOUTHEAST ASIAN REGIONAL CENTER GRADUATE STUDY & RESEARCH AGRICULTURE
PI LAGUNA
PA UPLB CAMPUS, LOS BANOS, LAGUNA, 00000, PHILIPPINES
SN 1656-4383
J9 ASIAN J AGRIC DEV
JI Asian J. Agric. Dev.
PD JUN
PY 2021
VL 18
IS 1
BP 1
EP 14
DI 10.37801/ajad2021.18.1.1
PG 14
WC Agronomy
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA TV3DM
UT WOS:000681603900001
DA 2025-01-10
ER

PT J
AU Jafino, BA
   Kwakkel, JH
   Klijn, F
   Dung, NV
   van Delden, H
   Haasnoot, M
   Sutanudjaja, EH
AF Jafino, Bramka Arga
   Kwakkel, Jan H.
   Klijn, Frans
   Nguyen Viet Dung
   van Delden, Hedwig
   Haasnoot, Marjolijn
   Sutanudjaja, Edwin H.
TI Accounting for Multisectoral Dynamics in Supporting Equitable Adaptation
   Planning: A Case Study on the Rice Agriculture in the Vietnam Mekong
   Delta
SO EARTHS FUTURE
LA English
DT Article
DE adaptation; agriculture; equity; multisectoral dynamics; Vietnam Mekong
   Delta
ID INTEGRATED ASSESSMENT MODELS; CLIMATE-CHANGE IMPACTS; LONG-TERM CLIMATE;
   LAND-USE; DEEP UNCERTAINTY; FLOOD MANAGEMENT; GIANG PROVINCE; FUTURE;
   VULNERABILITY; VALIDATION
AB The need for explicitly considering equity in climate change adaptation planning is increasingly being recognized. However, evaluations of adaptation often adopt an aggregated perspective, while disaggregation of results is important to learn about who benefits when and where. A typical example is adaptation of rice agriculture in the Vietnam Mekong Delta (VMD). Efforts focused on flood protection have mainly benefitted large-scale farmers while harming small-scale farmers. To investigate the distributional consequences of adaptation policies in the VMD, we assess both aggregate total output and equity indicators, as well as disaggregated impacts in terms of district-level farming profitability. Doing so requires an adequate representation of the multisectoral dynamics between the human and biophysical systems which influence farming profitability. We develop a spatially explicit integrated assessment model that couples inundation, sedimentation, soil fertility and nutrient dynamics, and behavioral land-use change and farming profitability calculation. We find that inter-district inequality responds in a non-linear way to climatic and socio-economic changes and choices of adaptation policies. The patterns of who wins and who loses could change substantially when a different policy is implemented or if a slightly different uncertain future materializes. We also find that there is no simple ranking of alternative adaptation policies, so one should make trade-offs based on agreed preferences. Accounting for equity implies exploring the distribution of outcomes over different groups over a range of uncertain futures. Only by accounting for multisectoral dynamics can planners anticipate the equity consequences of adaptation and prepare additional measures to aid the worse-off actors.
C1 [Jafino, Bramka Arga; Kwakkel, Jan H.; Klijn, Frans] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
   [Klijn, Frans; Haasnoot, Marjolijn] Deltares, Delft, Netherlands.
   [Nguyen Viet Dung] GFZ German Res Ctr Geosci, Sect Hydrol, Potsdam, Germany.
   [van Delden, Hedwig] Res Inst Knowledge Syst, Maastricht, Netherlands.
   [Haasnoot, Marjolijn; Sutanudjaja, Edwin H.] Univ Utrecht, Fac Geosci, Utrecht, Netherlands.
C3 Delft University of Technology; Deltares; Helmholtz Association;
   Helmholtz-Center Potsdam GFZ German Research Center for Geosciences;
   Maastricht University; Maastricht University Medical Centre (MUMC);
   Utrecht University
RP Jafino, BA (corresponding author), Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands.
EM B.A.Jafino@tudelft.nl
RI Kwakkel, Jan/D-9680-2013; van Delden, Hedwig/B-4276-2010; Haasnoot,
   Marjolijn/H-4827-2012
OI van Delden, Hedwig/0000-0001-6976-4832; Jafino, Bramka
   Arga/0000-0001-6872-517X; Sutanudjaja, Edwin/0000-0002-3426-4069; Nguyen
   Viet, Dung/0000-0002-2649-2520; Haasnoot, Marjolijn/0000-0002-9062-4698
FU NWO Top Sector Water Call: Adaptation Pathways for socially inclusive
   development of urbanizing deltas [OND1362814]
FX This work was funded by NWO Top Sector Water Call: Adaptation Pathways
   for socially inclusive development of urbanizing deltas (research number
   OND1362814).
CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Aerts JCJH, 2018, NAT CLIM CHANGE, V8, P193, DOI 10.1038/s41558-018-0085-1
   Ahmed G. A., 2017, J WATER RESOURCE PRO, V9, P663, DOI [10.4236/jwarp.2017.96045, DOI 10.4236/JWARP.2017.96045]
   [Anonymous], 2013, VIEW SYST GLOB AGR E
   ANSCOMBE FJ, 1973, AM STAT, V27, P17, DOI 10.2307/2682899
   Atteridge A, 2018, WIRES CLIM CHANGE, V9, DOI 10.1002/wcc.500
   Audsley E, 2008, CLIMATIC CHANGE, V90, P57, DOI 10.1007/s10584-008-9450-9
   Begg C, 2015, ENVIRON PLANN C, V33, P685, DOI 10.1068/c12216
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Bosmans JHC, 2017, HYDROL EARTH SYST SC, V21, P5603, DOI 10.5194/hess-21-5603-2017
   Brown DG, 2005, INT J GEOGR INF SCI, V19, P153, DOI 10.1080/13658810410001713399
   Yen BT, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0223884
   Call MA, 2017, GLOBAL ENVIRON CHANG, V46, P157, DOI 10.1016/j.gloenvcha.2017.08.008
   Campos I, 2016, PLAN THEORY PRACT, V17, P537, DOI 10.1080/14649357.2016.1215511
   Chapman A, 2016, SCI TOTAL ENVIRON, V559, P326, DOI 10.1016/j.scitotenv.2016.02.162
   Chapman AD, 2016, CLIMATIC CHANGE, V137, P593, DOI 10.1007/s10584-016-1684-3
   Chen J, 2018, NAT CLIM CHANGE, V8, P981, DOI 10.1038/s41558-018-0313-8
   Ciullo A, 2020, RISK ANAL, V40, P1844, DOI 10.1111/risa.13527
   Dang ATN, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229608
   Davis P.K., 2003, MOTIVATED METAMODELS
   Davis P.K. J.H. Bigelow., 1998, Experiments in multiresolution modeling MRM
   Davis PK, 2007, PROCEEDINGS OF THE 2007 WINTER SIMULATION CONFERENCE, VOLS 1-5, P838
   de Graaf IEM, 2017, ADV WATER RESOUR, V102, P53, DOI 10.1016/j.advwatres.2017.01.011
   Dobermann A, 2004, INCREASING PRODUCTIVITY OF INTENSIVE RICE SYSTEMS THROUGH SITE-SPECIFIC NUTRIENT MANAGEMENT, P3
   Doorn N, 2018, ETHICS POLICY ENV, V21, P96, DOI 10.1080/21550085.2018.1448041
   Tran DD, 2021, AGR WATER MANAGE, V243, DOI 10.1016/j.agwat.2020.106495
   Tran DD, 2019, AGR WATER MANAGE, V223, DOI 10.1016/j.agwat.2019.105703
   Tran DD, 2018, AGR WATER MANAGE, V206, P187, DOI 10.1016/j.agwat.2018.04.039
   Tran DD, 2018, J ENVIRON MANAGE, V217, P429, DOI 10.1016/j.jenvman.2018.03.116
   Dung NV, 2011, HYDROL EARTH SYST SC, V15, P1339, DOI 10.5194/hess-15-1339-2011
   Dunn FE, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab304e
   Eslami S, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55018-9
   Füssel HM, 2010, GLOBAL ENVIRON CHANG, V20, P597, DOI 10.1016/j.gloenvcha.2010.07.009
   Garschagen M, 2012, ENVIRON SCI ENG, P83, DOI 10.1007/978-94-007-3962-8_4
   Giosan L, 2014, NATURE, V516, P31, DOI 10.1038/516031a
   Gramelsberger G, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS001720
   GSO (General Statistics Office of Vietnam), 2018, STAT YB VIETN 2018
   Gugliotta M, 2017, CONT SHELF RES, V147, P7, DOI 10.1016/j.csr.2017.03.001
   Haasnoot M, 2014, ENVIRON MODELL SOFTW, V60, P99, DOI 10.1016/j.envsoft.2014.05.020
   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
   Hadjimichael A, 2020, EARTHS FUTURE, V8, DOI 10.1029/2020EF001503
   Hamilton SH, 2015, ENVIRON MODELL SOFTW, V64, P215, DOI 10.1016/j.envsoft.2014.12.005
   Harrison PA, 2016, NAT CLIM CHANGE, V6, P885, DOI [10.1038/NCLIMATE3039, 10.1038/nclimate3039]
   Hausfather Z, 2020, P NATL ACAD SCI USA, V117, P27791, DOI 10.1073/pnas.2017124117
   Hecht JS, 2019, J HYDROL, V568, P285, DOI 10.1016/j.jhydrol.2018.10.045
   Hoang LP, 2019, SCI TOTAL ENVIRON, V649, P601, DOI 10.1016/j.scitotenv.2018.08.160
   Hong SY, 2013, SIMUL-T SOC MOD SIM, V89, P28, DOI 10.1177/0037549712450361
   Huong HTL, 2013, HYDROL EARTH SYST SC, V17, P379, DOI 10.5194/hess-17-379-2013
   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
   Jafino B.A., 2019, Socio Environ. Syst. Model., V1, P16126, DOI [DOI 10.18174/SESMO.2019A16126, 10.18174/sesmo.2019a16126]
   Juhola S, 2016, ENVIRON SCI POLICY, V55, P135, DOI 10.1016/j.envsci.2015.09.014
   Käkönen M, 2008, AMBIO, V37, P205, DOI 10.1579/0044-7447(2008)37[205:MDATCM]2.0.CO;2
   Duc KN, 2019, J ENVIRON MANAGE, V231, P524, DOI 10.1016/j.jenvman.2018.10.011
   Kind J, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.446
   Kolstad C, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P207
   Kuenzer C, 2012, ENVIRON SCI ENG, P7, DOI 10.1007/978-94-007-3962-8_2
   Lauri H, 2012, HYDROL EARTH SYST SC, V16, P4603, DOI 10.5194/hess-16-4603-2012
   Ngan LT, 2018, LAND USE POLICY, V73, P269, DOI 10.1016/j.landusepol.2018.01.030
   Lee SK, 2018, ACTA GEOPHYS, V66, P1081, DOI 10.1007/s11600-018-0176-4
   Lempert R., 2003, Shaping the next one hundred years: New methods for quantitative, long-term policy analysis (MR-1626-CR)
   Lin JY, 2020, ENVIRON MODELL SOFTW, V129, DOI 10.1016/j.envsoft.2020.104719
   Ba LT, 2016, LAND DEGRAD DEV, V27, P973, DOI 10.1002/ldr.2321
   Maier HR, 2016, ENVIRON MODELL SOFTW, V81, P154, DOI 10.1016/j.envsoft.2016.03.014
   Malek Z, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102170
   Manh NV, 2014, HYDROL EARTH SYST SC, V18, P3033, DOI 10.5194/hess-18-3033-2014
   Mekong Delta Plan (MDP), 2013, LONG TERM VIS STRAT
   Minderhoud PSJ, 2020, ENVIRON RES COMMUN, V2, DOI 10.1088/2515-7620/ab5e21
   Minderhoud PSJ, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-11602-1
   Minderhoud PSJ, 2018, SCI TOTAL ENVIRON, V634, P715, DOI 10.1016/j.scitotenv.2018.03.372
   Moser SC, 2012, ANNU REV ENV RESOUR, V37, P51, DOI 10.1146/annurev-environ-021611-135158
   Nguyen QH, 2020, SUSTAIN DEV, V28, P448, DOI 10.1002/sd.2036
   Triet NVK, 2020, SCI TOTAL ENVIRON, V742, DOI 10.1016/j.scitotenv.2020.140596
   Triet NVK, 2018, NAT HAZARD EARTH SYS, V18, P2859, DOI 10.5194/nhess-18-2859-2018
   Triet NVK, 2017, HYDROL EARTH SYST SC, V21, P3991, DOI 10.5194/hess-21-3991-2017
   Manh NV, 2015, GLOBAL PLANET CHANGE, V127, P22, DOI 10.1016/j.gloplacha.2015.01.001
   Dung NV, 2015, J HYDROL, V527, P704, DOI 10.1016/j.jhydrol.2015.05.033
   Son NT, 2014, REMOTE SENS-BASEL, V6, P135, DOI 10.3390/rs6010135
   ORESKES N, 1994, SCIENCE, V263, P641, DOI 10.1126/science.263.5147.641
   Oreskes N, 1998, ENVIRON HEALTH PERSP, V106, P1453, DOI 10.1289/ehp.98106s61453
   Page E.A., 2007, CLIMATE CHANGE JUSTI
   Radhakrishnan M, 2018, CLIMATIC CHANGE, V149, P29, DOI 10.1007/s10584-017-1999-8
   Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5
   Razavi S, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011527
   Renaud FG, 2013, CURR OPIN ENV SUST, V5, P644, DOI 10.1016/j.cosust.2013.11.007
   Ritchie J, 2017, ENERGY, V140, P1276, DOI 10.1016/j.energy.2017.08.083
   Sakamoto T, 2009, JARQ-JPN AGR RES Q, V43, P173, DOI 10.6090/jarq.43.173
   Sakamoto T, 2009, LANDSCAPE URBAN PLAN, V92, P34, DOI 10.1016/j.landurbplan.2009.02.002
   Sattari SZ, 2014, FIELD CROP RES, V157, P35, DOI 10.1016/j.fcr.2013.12.005
   Sayers P, 2018, REG ENVIRON CHANGE, V18, P339, DOI 10.1007/s10113-017-1252-z
   Schwanitz VJ, 2013, ENVIRON MODELL SOFTW, V50, P120, DOI 10.1016/j.envsoft.2013.09.005
   Smajgl A, 2015, NAT CLIM CHANGE, V5, P167, DOI [10.1038/NCLIMATE2469, 10.1038/nclimate2469]
   Stanton EA, 2009, CLIM DEV, V1, P166, DOI 10.3763/cdev.2009.0015
   Steinmann P, 2020, TECHNOL FORECAST SOC, V156, DOI 10.1016/j.techfore.2020.120052
   Stuart AM, 2018, FIELD CROP RES, V229, P103, DOI 10.1016/j.fcr.2018.10.001
   Suckall N, 2018, SCI TOTAL ENVIRON, V633, P946, DOI 10.1016/j.scitotenv.2018.03.234
   Sutanudjaja EH, 2018, GEOSCI MODEL DEV, V11, P2429, DOI 10.5194/gmd-11-2429-2018
   Syvitski JPM, 2009, NAT GEOSCI, V2, P681, DOI 10.1038/NGEO629
   Tan PS, 2004, INCREASING PRODUCTIVITY OF INTENSIVE RICE SYSTEMS THROUGH SITE-SPECIFIC NUTRIENT MANAGEMENT, P193
   Dang TD, 2016, HYDROL PROCESS, V30, P3824, DOI 10.1002/hyp.10894
   Pham TTH, 2021, SINGAPORE J TROP GEO, V42, P241, DOI 10.1111/sjtg.12335
   Thomas K, 2019, WIRES CLIM CHANGE, V10, DOI 10.1002/wcc.565
   Tran TA, 2019, GLOBAL ENVIRON CHANG, V55, P84, DOI 10.1016/j.gloenvcha.2019.02.004
   Thong P. L., 2011, J SCI CTU A, V18, P267
   Toan T.Q., 2014, chapter 9 in Coastal Disasters and Climate Change in Vietnam: Engineering and Planning Perspectives, DOI DOI 10.1016/B978-0-12-800007-6.00009-5
   Unverricht D, 2013, GLOBAL PLANET CHANGE, V110, P223, DOI 10.1016/j.gloplacha.2012.12.009
   van de Poel I, 2021, ETHICS INF TECHNOL, V23, P27, DOI 10.1007/s10676-018-9461-9
   van Delden H, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P127
   van Delden H, 2010, ECOL MODEL, V221, P2153, DOI 10.1016/j.ecolmodel.2010.03.023
   Van PDT, 2012, HYDROL EARTH SYST SC, V16, P4637, DOI 10.5194/hess-16-4637-2012
   van Ruijven BJ, 2015, ENERG ECON, V51, P530, DOI 10.1016/j.eneco.2015.08.017
   van Vliet J, 2013, COMPUT ENVIRON URBAN, V41, P55, DOI 10.1016/j.compenvurbsys.2013.03.006
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Viet Van Hoang Viet Van Hoang, 2019, AGRIS On-line Papers in Economics and Informatics, V11, P35, DOI 10.7160/aol.2019.110104
   Tri VK, 2012, ENVIRON SCI ENG, P49, DOI 10.1007/978-94-007-3962-8_3
   Wagner PD, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2017.06.023
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Ward PJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044019
   Ward PJ., 2020, Water Security, V11, P100070, DOI [10.1016/j.wasec.2020.100070, DOI 10.1016/J.WASEC.2020.100070]
   White R, 1997, ENVIRON PLANN B, V24, P323, DOI 10.1068/b240323
   Whitehead PG, 2019, SCI TOTAL ENVIRON, V673, P218, DOI 10.1016/j.scitotenv.2019.03.315
   Wild TB, 2019, J WATER RES PLAN MAN, V145, DOI [10.1061/(ASCE)WR.1943-5452.0001036, 10.1061/(asce)wr.1943-5452.0001036]
   Winsemius HC, 2013, HYDROL EARTH SYST SC, V17, P1871, DOI 10.5194/hess-17-1871-2013
   Witt C, 1999, FIELD CROP RES, V63, P113, DOI 10.1016/S0378-4290(99)00031-3
   Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361
   Tong YD, 2017, ECOL ECON, V132, P205, DOI 10.1016/j.ecolecon.2016.10.013
NR 126
TC 16
Z9 17
U1 1
U2 22
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
EI 2328-4277
J9 EARTHS FUTURE
JI Earth Future
PD MAY
PY 2021
VL 9
IS 5
AR e2020EF001939
DI 10.1029/2020EF001939
PG 20
WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology &
   Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric
   Sciences
GA SL5PA
UT WOS:000656968900007
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Babaeian, F
   Delavar, M
   Morid, S
   Srinivasan, R
AF Babaeian, Fariba
   Delavar, Majid
   Morid, Saeed
   Srinivasan, Raghavan
TI Robust climate change adaptation pathways in agricultural water
   management
SO AGRICULTURAL WATER MANAGEMENT
LA English
DT Article
DE Climate change; Deep uncertainty; Water management; Decision making;
   Adaptation pathways
ID DEFICIT IRRIGATION STRATEGIES; RIVER-BASIN; LAKE URMIA; MODEL;
   PRODUCTIVITY; UNCERTAINTY; LESSONS; YIELD; FULL; PART
AB Analysis of climate change impacts as well as conscious decision-making and long-term planning in complex water resources systems require use of innovative approaches under conditions of deep climate uncertainty. This research aims to design and evaluate robust adaptable plans under deep climate uncertainties in the agricultural sector. For this purpose, a combination of the Adaptation Pathways (AP) approach in conjunction with the Soil and Water Assessment Tool (SWAT) model is used to evaluate the robustness of adaptation actions and to design robust adaptation pathways under future climate uncertainties in the Hablehroud River Basin, Iran. Deep climate uncertainties are specified as plausible climate scenario combinations according to the average precipitation and temperature changes in Representative Concentration Pathways (RCPs) 4.5 and 8.5, 2020-2080. According to the results, changes in cropping patterns represent the most robust adaptation action across various combinations of climate scenarios. Other adaptation actions, including deficit irrigation, changes in crop planting dates, and improving irrigation efficiency, are fairly robust in the specific time period from 2020 to 2080. Sequencing of these adaptation actions based on their robustness and expiry date results in designing adaptation pathway maps under RCPs 4.5 and 8.5. Finally, different preferred pathways are identified based on the expiry date of each robust adaptation action. Changes in cropping patterns can be selected as the most robust adaptation pathway (robustness greater than 80) under deep climate uncertainty among these different pathways. Suggesting other preferred pathways can be helpful to select reasonable pathways for implementation.
C1 [Babaeian, Fariba; Delavar, Majid; Morid, Saeed] Tarbiat Modares Univ, Dept Water Engn & Management, Tehran, Iran.
   [Srinivasan, Raghavan] Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX 77843 USA.
   [Srinivasan, Raghavan] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA.
C3 Tarbiat Modares University; Texas A&M University System; Texas A&M
   University College Station; Texas A&M University System; Texas A&M
   University College Station
RP Delavar, M (corresponding author), Tarbiat Modares Univ, Dept Water Engn & Management, Tehran, Iran.
EM m.delavar@modares.ac.ir
RI Babaeian, Fariba/KVC-2023-2024; Delavar, Majid/AFP-1708-2022
OI Babaeian, Fariba/0009-0001-7038-1334
CR Abbasi H, 2020, STOCH ENV RES RISK A, V34, P755, DOI 10.1007/s00477-020-01782-4
   Akinnagbe O. M., 2014, Bangladesh Journal of Agricultural Research, V39, P407
   Alcamo J, 2003, HYDROLOG SCI J, V48, P339, DOI 10.1623/hysj.48.3.339.45278
   Ali MH, 2007, AGR WATER MANAGE, V92, P151, DOI 10.1016/j.agwat.2007.05.010
   Alizadeh A., 2007, CROP WATER REQUIREME, P227
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Ashrafzadeh A, 2019, SHAHID CHAMRAN U AHV, V5, P27, DOI 10.22055/jhs.2019.27816.1090
   Ates S, 2013, AGR WATER MANAGE, V119, P135, DOI 10.1016/j.agwat.2012.12.017
   Baghbanan P., 2020, CLIM CHANG RES
   Baker TJ, 2013, J HYDROL, V486, P100, DOI 10.1016/j.jhydrol.2013.01.041
   Beh EHY, 2015, WATER RESOUR RES, V51, P1529, DOI 10.1002/2014WR016254
   Ben-Haim Y, 2001, MECH SYST SIGNAL PR, V15, P457, DOI 10.1006/mssp.2000.1377
   Ben-Haim Y., 2006, Academic, DOI DOI 10.1016/B978-0-12-373552-2.X5000-0
   BenHaim Y, 2010, INFO-GAP ECONOMICS: AN OPERATIONAL INTRODUCTION, P1, DOI 10.1057/9780230277328
   BenTal A, 2009, PRINC SER APPL MATH, P1
   Bhave AG, 2018, WATER RESOUR RES, V54, P708, DOI 10.1002/2017WR020970
   Bloemen P, 2018, MITIG ADAPT STRAT GL, V23, P1083, DOI 10.1007/s11027-017-9773-9
   Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212
   Buurman J, 2016, POLICY SOC, V35, P137, DOI 10.1016/j.polsoc.2016.05.002
   Chen Y, 2019, AGRON J, V111, P1266, DOI 10.2134/agronj2018.09.0556
   De Janvry A., 2010, J AFR ECON, V19, pSII7
   Delavar M, 2020, J HYDROL, V585, DOI 10.1016/j.jhydrol.2020.124762
   Dizaj AA, 2019, IRRIG DRAIN, V68, P191, DOI 10.1002/ird.2294
   Domínguez A, 2012, AGR WATER MANAGE, V110, P67, DOI 10.1016/j.agwat.2012.04.002
   Droogers P, 2005, PHYS CHEM EARTH, V30, P339, DOI 10.1016/J.PCE.2005.06.015
   Fereres E, 2007, J EXP BOT, V58, P147, DOI 10.1093/jxb/erl165
   Gassman P.W., 2010, P 21 CENTURY WATERSH, P1
   Gassman P.W., 2015, SOIL WATER ASSESSMEN
   Geerts S, 2009, AGR WATER MANAGE, V96, P1275, DOI 10.1016/j.agwat.2009.04.009
   Groves D., 2013, AGU FALL M
   Groves DG, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000471
   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
   Hoekstra Arjen Y., 2011, Setting the Global Standard. Earthscan
   Jha MK, 2015, REG ENVIRON CHANGE, V15, P449, DOI 10.1007/s10113-013-0539-y
   Kipkorir E. C., 2001, Irrigation and Drainage Systems, V15, P247, DOI 10.1023/A:1012731718882
   Krysanova V., 2015, ASSESSMENT CLIMATE L
   Kwakkel JH, 2010, EUR J TRANSP INFRAST, V10, P249
   Lawrence J., 2012, Developing adaptive risk management for our changing climate
   Lawrence J, 2017, ENVIRON SCI POLICY, V68, P47, DOI 10.1016/j.envsci.2016.12.003
   Lin BB, 2017, COAST MANAGE, V45, P384, DOI 10.1080/08920753.2017.1349564
   Marek GW, 2017, T ASABE, V60, P837, DOI 10.13031/trans.12048
   Matrosov ES, 2013, J HYDROL, V494, P43, DOI 10.1016/j.jhydrol.2013.03.006
   MOE (Ministry of Energy), 2012, STUDIES WATER WITHDR
   Montoya F, 2019, J AGR SCI-CAMBRIDGE, V157, P578, DOI 10.1017/S002185961900090X
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   Mosavi SH, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106332
   Ngigi S.N., 2009, CLIMATE CHANGE ADAPT
   Pellicer-Martínez F, 2016, SCI TOTAL ENVIRON, V571, P561, DOI 10.1016/j.scitotenv.2016.07.022
   Perry C., 2017, Does Improved Irrigation Technology Save Water? A Review of the Evidence, P42
   Raeisi LG, 2019, AGR WATER MANAGE, V223, DOI 10.1016/j.agwat.2019.105685
   Roach T, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000660
   Rosenzweig C, 2014, GLOBAL ENVIRON CHANG, V28, P395, DOI 10.1016/j.gloenvcha.2014.05.003
   Rosenzweig C, 2011, CLIMATIC CHANGE, V106, P93, DOI 10.1007/s10584-010-0002-8
   Sabbaghi MA, 2020, AGR WATER MANAGE, V241, DOI 10.1016/j.agwat.2020.106323
   Salehpoor J., 2019, WATERSHED ENG MANAG, V11, P1140
   Semenov M.A., 2002, LARS-WG Weather Generator
   Singh PK, 2021, J CLEAN PROD, V284, DOI 10.1016/j.jclepro.2020.124744
   SMLWR (Sustainable Management of Land Water Resources), 2014, SUMMARY MONITORING E
   Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Woodward M, 2014, RISK ANAL, V34, P75, DOI 10.1111/risa.12088
   Zaman MR, 2016, AGR SYST, V147, P98, DOI 10.1016/j.agsy.2016.06.001
   Zandvoort M, 2017, ENVIRON SCI POLICY, V78, P18, DOI 10.1016/j.envsci.2017.08.017
NR 64
TC 23
Z9 23
U1 7
U2 39
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 30
PY 2021
VL 252
AR 106904
DI 10.1016/j.agwat.2021.106904
EA APR 2021
PG 14
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Water Resources
GA SU7PP
UT WOS:000663324800005
DA 2025-01-10
ER

PT J
AU Thakare, LM
   Shitole, TA
AF Thakare, Lalit M.
   Shitole, Tushar A.
TI Vulnerability Assessment of the Ratnagiri Coast (Maharashtra, West Coast
   of India)
SO JOURNAL OF COASTAL RESEARCH
LA English
DT Article
DE Coastal vulnerability index (CVI); sea-level rise shoreline evolution;
   coastal inundation; DSAS
ID SHORELINE CHANGES; CLIMATE-CHANGE; STATE
AB The Ratnagiri coast, situated in Maharashtra state, West Coast of India, is potentially vulnerable to the erosional hazards, frequent rehabilitation of land, and accelerated sea-level rise. In recent years, the evidence shows erosional threats and gradual submergence along the creeks and lowlands of Ratnagiri. To deliberate the vulnerability of these hazards, vulnerability ranking was assigned using a coastal vulnerability index (CVI) using six geophysical parameters. The datasets were obtained from the satellite data of Landsat series from the years 1973, 2015, and 2019 to derive geomorphology of the coast and coastal landforms. Shoreline change along Kelshi, Kachave-Undi-Waravde region, and Mirya bay and beach have been evaluated using the Digital Shoreline Analysis System by demarcating the baseline and shorelines from the series of Landsat data. Data obtained is re-improvised with Google data for updating the recent change in the study area. Elevation data is extracted from Advanced Spaceborne Thermal Emission and Reflection Radiometer data of 30 m spatial resolution, the susceptibility of coastal inundation was derived using General Bathymetric Chart of the Oceans data, and this has indicated northerly submergence of the coast, prone to become vulnerable. The tidal variations along two major gauging stations were extracted from Windows Unix program for Tides 32 software for Rajapur and Mormugao stations. The CVI results in the categorization of areas with a high-risk vulnerability along the beaches, creeks, and estuaries of Kelshi, Jaigad, Rajapur, and Kajali, while low-risk areas like cliffs and shoals are geologically confronted. The findings from the CVI suggest the need for identifying and mapping such vulnerable areas and is an initial step to emphasize coastal regions for climate change adaptations.
C1 [Thakare, Lalit M.] Sir Parashurambhau Coll, Dept Geog, Pune, Maharashtra, India.
   [Shitole, Tushar A.] Prof Ramkrishna More Arts Commerce & Sci Coll, Dept Geog, Pune, Maharashtra, India.
RP Thakare, LM (corresponding author), Sir Parashurambhau Coll, Dept Geog, Pune, Maharashtra, India.
EM lmthakare@gmail.com
RI Thakare, Lalit/JYU-1898-2024
CR Aboobacker VM, 2013, COAST ENG J, V55, DOI 10.1142/S0578563413500010
   AGRAWAL DP, 1967, CURR SCI INDIA, V36, P566
   [Anonymous], WORK GROUP 1 PHYS SC
   [Anonymous], 2006, INDICATIVE MAPPING T
   Basak P.A., 2005, BHARATIYA JAIN SANGH, P10
   Black K.P., 2017, SUSTAINABLE COASTAL, V1
   Chenthamil Selvan S., 2014, INDIAN J MAR SCI, V43, P1
   Church JA, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P639
   Cruz R.V.H., 2007, CLIMATE CHANGE 2007, P475
   Dasgupta S., 2007, WORLD BANK POL RES W, V4136, P1
   DAVIES WTR, 2012, THESIS
   Deshpande Sunil, 2015, INT J ADV ENG TECHNO, V7, P1874, DOI DOI 10.17485/IJST/2016/V9I7/85604
   Doukakis E., 2005, European Water, V11/12, P3
   EMERY KO, 1989, J COASTAL RES, V5, P489
   Gaur AS, 2007, CURR SCI INDIA, V92, P103
   Gazetteer of the Bombay Presidency (Ratnagiri District Gazetteer), 1962, PHYS FEAT NAT RES, P2
   Gornitz V., 1994, NASA PUBLICATION, V4590
   Guzder S. J., 1980, THESIS
   Hammar-Klose E.S, 1999, US GEOLOGICAL SURVEY
   Hanamgond PT, 2008, J COASTAL RES, V24, P672, DOI 10.2112/06-0692.1
   Indian Tide Table, 2014, NONM PORTS MAH STAT, P76
   Kale V.S., 1985, B DECCAN COLL RES IN, V44, P153
   Karlekar S.N., 2017, 9 INT C GEOM INT ASS
   Karlekar S.N., 2000, COASTAL GEOMORPHOLOG
   Karlekar S.N., 2010, COASTAL PROCESSES LA
   khanna Praveen, 2014, RES J MAR SCI, V2, P1
   Kumar TS, 2010, J COASTAL RES, V26, P523, DOI 10.2112/09-1186.1
   Markad S, 2014, FISH TECHNOL, V51, P229
   Mehra P, 2015, OCEAN SCI, V11, P159, DOI 10.5194/os-11-159-2015
   Merh S., 1992, Proceedings of the Indian National Science Academy, P461
   Natesan Usha, 2010, Journal of Coastal Conservation, V14, P207, DOI 10.1007/s11852-010-0103-6
   Nicholls RJ., 1995, J Coast Res, P2643
   Parry M.L., 2009, CLIMATE CHANGE 2007, P13
   Pendleton ElizabethA. E., 2005, COASTAL VULNERABILIT
   Pramanik MK, 2016, ENVIRON DEV SUSTAIN, V18, P1635, DOI 10.1007/s10668-015-9708-0
   Ramasamy SM, 2010, J INDIAN SOC REMOTE, V38, P640, DOI 10.1007/s12524-011-0067-5
   Samiksha SV, 2014, INDIAN J GEO-MAR SCI, V43, P481
   Sapkale J.B., 2016, INDIAN J SCI TECHNOL, V9
   Sathaye J, 2006, CURR SCI INDIA, V90, P314
   SHETYE SR, 1990, CURR SCI INDIA, V59, P152
   Shitole T., 2008, THESIS
   Sterr H, 2003, FEEM SER ECON ENVIR, P245
   Thieler E R, 2000, National assessment of coastal vulnerability to sea-level rise: Preliminary results for the US Pacific Coast, DOI [10.3133/ofr00178, DOI 10.3133/OFR00178]
   Unnikrishnan AS, 2007, GLOBAL PLANET CHANGE, V57, P301, DOI 10.1016/j.gloplacha.2006.11.029
NR 44
TC 3
Z9 3
U1 2
U2 7
PU COASTAL EDUCATION & RESEARCH FOUNDATION
PI COCONUT CREEK
PA 5130 NW 54TH STREET, COCONUT CREEK, FL 33073 USA
SN 0749-0208
EI 1551-5036
J9 J COASTAL RES
JI J. Coast. Res.
PD MAR
PY 2021
VL 37
IS 2
BP 421
EP 432
DI 10.2112/JCOASTRES-D-19-00190.1
PG 12
WC Environmental Sciences; Geography, Physical; Geosciences,
   Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Physical Geography; Geology
GA QT3JR
UT WOS:000626486600007
DA 2025-01-10
ER

PT J
AU Kiers, AH
   de la Peña, D
   Napawan, NC
AF Kiers, A. Haven
   de la Pena, David
   Napawan, N. Claire
TI Future Directions-Engaged Scholarship and the Climate Crisis
SO LAND
LA English
DT Article
DE experiential learning; climate change; engaged scholarship
ID YOUTH; DIVERSITY; LESSONS
AB Climate change has the potential to disrupt ecosystem services and further exacerbate the effects of human activities on natural resources. This has significant implications for educational institutions and the populations they serve. As the current crop of landscape architecture students struggles to define its role within the climate crisis and its related social and political underpinnings, a core mission of colleges and universities moving forward should be to provide students with applied knowledge about how climate change affects the landscape. This goes beyond coursework in climate science or policy; for landscape architecture students to be leaders in the response to climate change, they need applied, practical skills. An ever-growing body of the literature focuses on landscape design strategies for climate change adaptation; however, few frameworks integrate these strategies with the hands-on experience students will need to face real-world challenges after graduation. Educational institutions have the potential to utilize their campuses as demonstration sites for applied ecosystem research programs and actively engage students with the design, implementation, politics, and ongoing stewardship of these landscapes. This paper uses a case study methodology to understand how experiential and public-engaged learning pedagogies contribute to student preparedness to address climate change. It examines three cases of engaged learning at the University of California, Davis campus and attributes their impact to intentional connections with research, to the delegation of responsibility; to the openness of spaces for experimentation, and to self-reflection that connects climate with everyday behavior. By promoting experiential learning programs that require students to actively use their heads and their hands to construct and sustainably manage their own campus landscapes, service-learning studios and internships can provide opportunities for students to address the real scenarios of climate crisis and resilience.
C1 [Kiers, A. Haven; de la Pena, David; Napawan, N. Claire] Univ Calif Davis, Dept Human Ecol, Davis, CA 95616 USA.
C3 University of California System; University of California Davis
RP Kiers, AH (corresponding author), Univ Calif Davis, Dept Human Ecol, Davis, CA 95616 USA.
EM ahkiers@ucdavis.edu; dsdelapena@ucdavis.edu; ncnapawan@ucdavis.edu
OI KIERS, HAVEN/0000-0002-9812-9018
CR Adam C., 2015, WILEY INTERDISCIPLIN, V6, P523
   Alexander LV, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P3
   ALONSO W, 1986, PUBLIC INTEREST, P58
   [Anonymous], 2009, CASE STUDY RES DESIG
   [Anonymous], 2014, NARRATIVE WORKSHOPS
   Arnold HE, 2009, J ENVIRON EDUC, V40, P27, DOI 10.3200/JOEE.40.3.27-36
   ASLA, 2020, CLIM ACT NOW AN OP L
   Baldwin C, 2017, J PLAN EDUC RES, V37, P43, DOI 10.1177/0739456X16634864
   Bangay C, 2010, INT J EDUC DEV, V30, P359, DOI 10.1016/j.ijedudev.2009.11.011
   Barnett R, 2000, HIGH EDUC, V40, P409, DOI 10.1023/A:1004159513741
   Beringer A, 2008, ENVIRON EDUC RES, V14, P607, DOI 10.1080/13504620802464866
   Bovill C, 2014, INNOV EDUC TEACH INT, V51, P15, DOI 10.1080/14703297.2013.770264
   Boyer E.L., 1996, J PUBLIC OUTREACH, V1, P11, DOI DOI 10.2307/3824459
   Childers DL, 2015, SUSTAINABILITY-BASEL, V7, P3774, DOI 10.3390/su7043774
   CLARK G, 1998, SMALL GROUP TEACHING
   Creswell J. W., 2016, Qualitative inquiry and research design: Choosing among five approaches
   David B., 2016, J COOP EDUC, V17, P21
   de Vreede C, 2014, J ENVIRON EDUC, V45, P37, DOI 10.1080/00958964.2013.805710
   Dollinger M, 2020, J HIGH EDUC POLICY M, V42, P532, DOI 10.1080/1360080X.2019.1663681
   Francis M., 2001, Landscape Journal, V20, P15, DOI [DOI 10.3368/LJ.20.1.15, 10.3368/lj.20.1, DOI 10.3368/LJ.20.1, 10.3368/lj.20.1.15]
   Franck Karen A, 2007, Loose space: Possibility and diversity in public life
   Gascó M, 2017, GOV INFORM Q, V34, P90, DOI 10.1016/j.giq.2016.09.003
   Gray FE, 2019, COMMUN RES PRACT, V5, P1, DOI 10.1080/22041451.2019.1561393
   Guzowski Mary., 2010, ZERO ENERGY ARCHITEC
   Hannah R., 2007, COMMUNITY BASED ADAP
   Hayden M., 2011, Journal for Activism in Science & Technology Education, V3, P119
   Hickman G.M., 2012, THESIS
   Hoffman JS, 2017, SCIENCE, V355, P276, DOI 10.1126/science.aai8464
   IPBES, 2019, SUMMARY POLICYMAKERS, DOI [DOI 10.5281/ZENODO.3553579, DOI 10.5281/ZENODO.6417333]
   Jackson D, 2016, HIGH EDUC RES DEV, V35, P925, DOI 10.1080/07294360.2016.1139551
   James M, 2015, ASIA PAC PUBLIC RELA, V16, P1
   Joshua C., 2016, PRACTICE LANDSC J, V35, P37, DOI [10.3368/lj.35.1.37, DOI 10.3368/LJ.35.1.37]
   Kent M, 1997, J GEOGR HIGHER EDUC, V21, P313, DOI 10.1080/03098269708725439
   Kliskey A, 2017, SUSTAIN SCI, V12, P293, DOI 10.1007/s11625-016-0391-3
   König A, 2013, REGENERATIVE SUSTAINABLE DEVELOPMENT OF UNIVERSITIES AND CITIES: THE ROLE OF LIVING LABORATORIES, P1
   Kolb AY, 2005, ACAD MANAG LEARN EDU, V4, P193, DOI 10.5465/AMLE.2005.17268566
   Kotval Z, 2003, J GEOGR HIGHER EDUC, V27, P297, DOI 10.1080/0309826032000145061
   Kuh G.D., 2008, Excerpt from "High-Impact Educational Practices: What They Are, Who Has Access to Them, and Why They Matter
   Landscape Architectural Accreditation Board, 2016, ACCR STAND 1 PROF PR
   Lenzholzer S, 2013, J CLEAN PROD, V61, P89, DOI 10.1016/j.jclepro.2012.12.038
   Livingstone D., 1998, STUD HIGH ED, V25, P325
   MERCERMAPSTONE L, 2018, J ED INNOVATION PART, V4, P1, DOI DOI 10.21100/JEIPC.V4I1.741
   Michelsen G., 2008, SUSTAINABLE U SUSTAI
   Morrow D., 2002, European Management Journal, V20, P159, DOI [10.1016/S0263-2373(02)00026-9, DOI 10.1016/S0263-2373(02)00026-9]
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P1, DOI 10.1017/CBO9780511535871
   Myers B.E., 2004, NACTA J, V48, P27
   Napawan NC, 2017, URBAN PLAN, V2, P51, DOI 10.17645/up.v2i4.1010
   Office of Undergraduate Education, 2020, U CAL DAV UC DAV 1 Y
   Percy-Smith B, 2013, LOCAL ENVIRON, V18, P323, DOI 10.1080/13549839.2012.729565
   Pickett STA, 2008, J ECOL, V96, P8, DOI 10.1111/j.1365-2745.2007.01310.x
   Porter SR, 2006, RES HIGH EDUC, V47, P521, DOI 10.1007/s11162-005-9006-z
   Public Scholarship and Engagement University of California, 2019, DAV PUBL SCHOL ENG
   Reardon KM, 2006, PLAN PRACT RES, V21, P95, DOI 10.1080/02697450600901566
   Reid H., 2009, Participatory Learning and Action, V60, P11
   Rios M, 2018, LANDSC J, V37, P1
   Robinson J, 2013, REGENERATIVE SUSTAINABLE DEVELOPMENT OF UNIVERSITIES AND CITIES: THE ROLE OF LIVING LABORATORIES, P27
   Ross H, 2014, SOC NATUR RESOUR, V27, P787, DOI 10.1080/08941920.2014.905668
   Schnell C.A., 2003, J COLL STUD RETENT-R, V4, P377
   Schreiner C., 2005, Studies in Science Education, V41, P3, DOI [10.1080/03057260508560213, DOI 10.1080/03057260508560213]
   Sheppard SRJ, 2015, LANDSCAPE URBAN PLAN, V142, P95, DOI 10.1016/j.landurbplan.2015.07.006
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Students for the Sustainable Research Area, 1989, POSITION PAPER
   Tran TT, 2015, J EDUC WORK, V28, P207, DOI 10.1080/13639080.2014.900167
   Vale L.J., 2005, RESILIENT CITY MODER
   van der Linden S., 2014, UNDERSTANDING GOVERN, P243
   Wheeler Alfred G. Jr., 2008, American Entomologist, V54, P18
   White R., 1998, CHILDRENS OUTDOOR PL
   WMO, 2019, WMO STAT STAT GLOB C
NR 68
TC 6
Z9 6
U1 3
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD SEP
PY 2020
VL 9
IS 9
AR 304
DI 10.3390/land9090304
PG 17
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA OD7CE
UT WOS:000580006400001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Weng, YH
   Charrette, P
   Lu, PX
AF Weng, Yuhui
   Charrette, Paul
   Lu, Pengxin
TI Re-examining breeding zones of white spruce in northwestern Ontario,
   Canada
SO NEW FORESTS
LA English
DT Article
DE Tree improvement; Climate change; Progeny test; Genotype x environment
   interaction; Type-B genetic correlation; Picea glauca
ID GENETIC-VARIATION; DOUGLAS-FIR; ENVIRONMENT INTERACTION; INTERIOR
   SPRUCE; GROWTH; HERITABILITY; POPULATIONS; IMPROVEMENT; GENECOLOGY;
   SURVIVAL
AB Under a changing climate, tree improvement programs should revise breeding zones to improve climate change adaptation and program efficiency once information about adaptive capacity of breeding populations and genotype x environment (G x E) interaction becomes available. In this study, we evaluated the adaptation and growth, as well as G x E interactions, shown by white spruce (Picea glauca (Moench) Voss) open-pollinated (OP) families across two adjacent breeding zones (i.e., the BZ3300 and BZ4300, respectively) in northwestern Ontario using progeny test data, including 80 OP families (40 from each) that were cross-tested between the breeding zones. Results showed that the OP families from the southerly BZ4300 breeding zone averaged higher survival and significantly greater mean tree height growth than the local OP families in the more northern BZ3300 breeding zone at tree age of 14 years, with no notable difference in frost damage. Estimates of type-B genetic correlation from pairwise tests or combined-test analyses were almost all greater than 0.7, suggesting weak G x E interactions. Greater variation among families and higher heritability estimates in tree height were observed for families from the BZ3300 breeding zone or when families from the two breeding zones were combined. The weak G x E interactions, in addition to better survival and growth of the southerly families in the more northern breeding zone, suggested benefits from deploying seed from current seed orchard in the BZ4300 breeding zone to the BZ3300 breeding zone and merging the two breeding zones when starting the second generation breeding to increase tree improvement efficiency and likely higher genetic gain under future climate.
C1 [Weng, Yuhui] Stephen F Austin State Univ, Arthur Temple Coll Forestry & Agr, 419 East Coll St, Nacogdoches, TX 75962 USA.
   [Charrette, Paul] Lakehead Univ, Fac Nat Resources Management, Super Woods Tree Improvement Assoc, 955 Oliver Rd, Thunder Bay, ON P7B 5E1, Canada.
   [Lu, Pengxin] Ontario Minist Nat Resources & Forestry, Ontario Forest Res Inst, 1235 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada.
C3 Lakehead University; Ministry of Natural Resources & Forestry
RP Lu, PX (corresponding author), Ontario Minist Nat Resources & Forestry, Ontario Forest Res Inst, 1235 Queen St East, Sault Ste Marie, ON P6A 2E5, Canada.
EM pengxin.lu@ontario.ca
OI Lu, Pengxin/0000-0002-6101-0988
FU Ontario Living Legacy Trust (OLLT); Ontario Forestry Futures Trust
   (OFFT)
FX We thank Janet Lane with the Domtar for assistance with trial
   establishment; and Holly Aggas with the Domtar, Karen Carpenter with the
   Dryden Forest Management Co. Ltd and Robert Partridge with the Red Lake
   Forest Management Co. for assistance with trial maintenance and
   measurement. The Ontario Living Legacy Trust (OLLT) funded trial
   establishment and the Ontario Forestry Futures Trust (OFFT) funded trial
   measurements.
CR [Anonymous], 2017, AN RED LAK 3300 WHIT
   [Anonymous], 1987, TREE IMPROVEMENT MAS, P81
   [Anonymous], 2016, AN DRYD 4300 WHIT SP
   [Anonymous], 2006, STAT FOR REP 2006, P153
   BURDON RD, 1977, SILVAE GENET, V26, P168
   CAMPBELL RK, 1979, ECOLOGY, V60, P1036, DOI 10.2307/1936871
   Chen ZQ, 2017, TREE GENET GENOMES, V13, DOI 10.1007/s11295-017-1103-6
   CORNELIUS J, 1994, CAN J FOREST RES, V24, P372, DOI 10.1139/x94-050
   FINLAY KW, 1963, AUST J AGR RES, V14, P742, DOI 10.1071/AR9630742
   Gilmoure A, 2015, ASREML USER GUIDE RE
   Gray LK, 2016, TREE GENET GENOMES, V12, DOI 10.1007/s11295-016-0983-1
   HILLS G. A., 1960, FOREST CHRON, V36, P401
   Johnson G. R., 2004, Native Plants Journal, V5, P131, DOI 10.2979/NPJ.2004.5.2.131
   Johnson GR, 1997, SILVAE GENET, V46, P280
   JOHNSON R, 1998, PNWGTR411 USDA FOR S
   KISS G, 1988, CAN J FOREST RES, V18, P158, DOI 10.1139/x88-025
   LI P, 1993, SILVAE GENET, V42, P52
   Li P, 1997, CAN J FOREST RES, V27, P189, DOI 10.1139/cjfr-27-2-189
   Lu PX, 2014, ECOL EVOL, V4, P2360, DOI 10.1002/ece3.1100
   Lu PX, 2008, CAN J FOREST RES, V38, P2994, DOI 10.1139/X08-133
   Lu PengXin Lu PengXin, 2004, Forest Genetics, V11, P29
   McKenney DW, 2011, GLOBAL CHANGE BIOL, V17, P2720, DOI 10.1111/j.1365-2486.2011.02413.x
   NIENSTAEDT H, 1985, SILVAE GENET, V34, P34
   O'Neill GA, 2004, CAN J FOREST RES, V34, P695, DOI 10.1139/X03-227
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   REHFELDT GE, 1995, FOREST ECOL MANAG, V78, P21, DOI 10.1016/0378-1127(95)03602-4
   ROWE J. STAN, 1962, FOREST CHRON, V38, P420
   Rweyongeza DM, 2007, SILVAE GENET, V56, P117, DOI 10.1515/sg-2007-0018
   Saxton A.M., 2004, GENETIC ANAL COMPLEX
   Shelbourne C.J.A., 1972, Proceedings IUFRO Genetics-SABRAO, Joint Symposium, VB-1, P1
   St Clair JB, 2005, ANN BOT-LONDON, V96, P1199, DOI 10.1093/aob/mci278
   Stonecypher RW, 1996, FOREST SCI, V42, P1
   Thomson AM, 2010, CAN J FOREST RES, V40, P1576, DOI 10.1139/X10-112
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   Weng YH, 2007, SILVAE GENET, V56, P242, DOI 10.1515/sg-2007-0035
   White T. L., 2007, Forest Genetics
   Xie CY, 2003, CAN J FOREST RES, V33, P1635, DOI [10.1139/x03-082, 10.1139/X03-082]
   YEH FC, 1985, CAN J GENET CYTOL, V27, P729, DOI 10.1139/g85-109
NR 38
TC 2
Z9 2
U1 0
U2 4
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 2019
VL 50
IS 5
BP 845
EP 858
DI 10.1007/s11056-018-9692-y
PG 14
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA IQ1BZ
UT WOS:000480486100009
DA 2025-01-10
ER

PT J
AU Wang, C
   Wang, L
   Dai, SF
AF Wang, Chen
   Wang, Lu
   Dai, Shufen
TI An indicator approach to industrial sustainability assessment: The case
   of China's Capital Economic Circle
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Industrial sector; Sustainable development; Indicator-based assessment
   framework; Global principal component analysis; Multi-attribute decision
   making analysis
ID INDEX; BENCHMARKING; CONSTRUCTION; SYSTEM; MODEL
AB While industrial sector has long been the economic engine of China's Capital Economic Circle (CEC) including Beijing, Tianjin, and Hebei province, the consequences of its rapid expansion such as environmental degradation and social concerns are attracting exceptional attention. In recent years, policies and measures are largely applied to industrial sector of the CEC to find out a sustainable pathway. However, the sustainable development performance is lacking in scientific evaluation. To comprehensively understand the status quo of industrial performance under the pressure of climate change adaptation and mitigation, this study establishes an evaluation framework of sustainable performance for industrial sector of the CEC, synthesizing the economic, environmental and social pillars. Particularly, we use global principal component analysis (GPCA), a dynamic multi-criteria decision making model, to assess the progress of industrial performance in each region from a time series perspective. We find that industrial sectors in all three regions show good trends of sustainable development during 2009-2015. Among them, the industrial sector of Tianjin performed the best and maintained the best improving status because of its positive performance on innovation, employees' benefits, and economic structure. The industrial sector in Beijing had medium performance but it had outstanding advantages on social dimension for its high proportion of R&D employment with high income level. Hebei's industrial sector performed the worst for its relatively lower energy efficiency and heavy industry-based economic structure. The innovation-driven development mode in Beijing and Tianjin provides a direction for Hebei's industrial sectors. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Wang, Chen; Dai, Shufen] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China.
   [Wang, Lu] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
C3 University of Science & Technology Beijing; Beijing Institute of
   Technology
RP Wang, L (corresponding author), Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China.
EM luwangceep@bit.edu.cn
OI Wang, Lu/0000-0003-1213-886X
FU National Science Foundation of China [71702009]; Beijing Social Science
   Foundation [17JDGLA010]; Fundamental Research Funds for the Central
   Universities [FRF-TP-17-015A1, FRF-BR-16-005A]
FX The authors greatly acknowledge the financial support from the National
   Science Foundation of China (Reference No. 71702009), Beijing Social
   Science Foundation (Reference No. 17JDGLA010), Fundamental Research
   Funds for the Central Universities (Reference No. FRF-TP-17-015A1, No.
   FRF-BR-16-005A). Any remaining errors are solely the responsibility of
   the authors.
CR Abdul-Rashid SH, 2017, INT J OPER PROD MAN, V37, P182, DOI 10.1108/IJOPM-04-2015-0223
   Bottani E., 2017, SUSTAINABILITY BASEL, V9
   Buys L, 2014, J ENVIRON MANAGE, V133, P184, DOI 10.1016/j.jenvman.2013.12.013
   CAS (Chinese Academy of Sciences), 1999, CHIN SUST DEV REP
   Elkington John., 1997, CANNIBALS FORKS TRIP, DOI [10.1002/tqem.3310080106, DOI 10.1002/TQEM.3310080106]
   Feil AA, 2017, CLEAN TECHNOL ENVIR, V19, P1883, DOI 10.1007/s10098-017-1372-7
   Garbie IH, 2014, INT J PROD RES, V52, P4876, DOI 10.1080/00207543.2014.893066
   Genovese A, 2017, J CLEAN PROD, V167, P1290, DOI 10.1016/j.jclepro.2017.05.186
   Gri, 2002, GLOB REP IN
   Joung CB, 2013, ECOL INDIC, V24, P148, DOI 10.1016/j.ecolind.2012.05.030
   Kopacz M, 2017, J CLEAN PROD, V159, P359, DOI 10.1016/j.jclepro.2017.05.038
   Krajnc D, 2004, TECHNOLOGICAL CHOICES FOR SUSTAINABILITY, P395
   Krajnc D, 2005, RESOUR CONSERV RECY, V43, P189, DOI 10.1016/j.resconrec.2004.06.002
   Lee CW, 2015, RENEW SUST ENERG REV, V51, P288, DOI 10.1016/j.rser.2015.05.071
   Li T, 2012, INT J LIFE CYCLE ASS, V17, P593, DOI 10.1007/s11367-012-0394-y
   Long YG, 2016, J CLEAN PROD, V125, P133, DOI 10.1016/j.jclepro.2016.03.030
   Mainali B, 2015, RENEW SUST ENERG REV, V41, P1351, DOI 10.1016/j.rser.2014.09.018
   Mainali B, 2014, ENERGY SUSTAIN DEV, V19, P15, DOI 10.1016/j.esd.2014.01.008
   OECD, 2002, OECD ENV PROGR
   Salvado MF, 2015, SUSTAINABILITY-BASEL, V7, P2113, DOI 10.3390/su7022113
   Sharma T, 2015, APPL ENERG, V142, P206, DOI 10.1016/j.apenergy.2014.12.037
   Shen LX, 2015, RESOUR POLICY, V46, P15, DOI 10.1016/j.resourpol.2013.10.006
   Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007
   Sureeyatanapas P, 2015, PROD PLAN CONTROL, V26, P1128, DOI 10.1080/09537287.2015.1015470
   The State Council of China, 2011, PLAN TRANSF UPGR IND
   Valenzuela-Venegas G, 2016, J CLEAN PROD, V133, P99, DOI 10.1016/j.jclepro.2016.05.113
   Vithayasrichareon P, 2012, RENEW SUST ENERG REV, V16, P2217, DOI 10.1016/j.rser.2012.01.019
   Voces R, 2012, EXPERT SYST APPL, V39, P6618, DOI 10.1016/j.eswa.2011.12.040
   Waas T, 2014, SUSTAINABILITY-BASEL, V6, P5512, DOI 10.3390/su6095512
   WCED, 1978, OUR COMM FUT BRUNDTL
   Yakovleva N, 2012, INT J PROD RES, V50, P1297, DOI 10.1080/00207543.2011.571926
   Zhang DD, 2015, ENERG ECON, V52, P299, DOI 10.1016/j.eneco.2015.11.006
   Zhang R, 2013, ATMOS CHEM PHYS, V13, P7053, DOI 10.5194/acp-13-7053-2013
   Zhou L, 2012, CLEAN TECHNOL ENVIR, V14, P789, DOI 10.1007/s10098-012-0454-9
NR 34
TC 29
Z9 29
U1 4
U2 59
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD SEP 1
PY 2018
VL 194
BP 473
EP 482
DI 10.1016/j.jclepro.2018.05.125
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA GM3KJ
UT WOS:000438003200043
OA Bronze
DA 2025-01-10
ER

PT B
AU Eudoxie, G
   Roopnarine, R
AF Eudoxie, Gaius
   Roopnarine, Ronald
GP Informat Resources Management Assoc
TI Climate Change Adaptation and Disaster Risk Management in the Caribbean
SO CLIMATE CHANGE AND ENVIRONMENTAL CONCERNS: BREAKTHROUGHS IN RESEARCH AND
   PRACTICE
LA English
DT Article; Book Chapter
ID ECOLOGICAL RESILIENCE; BIODIVERSITY; GIS; PREDICTION; MANGROVES; IMPACTS
AB Caribbean countries share unique features such as small size, geographical location, limited natural resources, low economic status aligned with ambitious developmental agendas, all of which influences their vulnerability to natural disasters. Agriculture and tourism are the main economic drivers for Caribbean states. Notably, both these sectors are highly prone to natural disasters. Other sectors including forestry, biodiversity, coastal resources and inland water resources are also susceptible to climatic hazards. The eroding natural resource base aligned to these sectors demands appropriate management. Risk assessment is integral in planning and preparing for natural hazards. Several methods have been used in the Caribbean with varying success. Two successful examples are the Land Degradation Assessment (LADA) conducted in Grenada and the Landslide Mapping in Trinidad. The LADA project geospatially quantified the extent of land degradation and presented data in support of natural resource management. The Caribbean Disaster Emergency Management Agency (CDEMA) was a milestone establishment for regional disaster management. Introduction and implementation of the Comprehensive Disaster Management (CDM) strategy transformed disaster management from simply response and recovery, to include preparedness, prevention and mitigation. This approach included the appointment of national focal points in all participating countries, a feature that aimed to build and improve communication channels. Whilst mostly positive, the present approach has also showcased limitations to long term sustainability. Most islands lack effective governance structures with a dedicated budget to disaster management and where available, activities are centrally operated. Improving social resilience through community engagement is seen as critical to the success of CDM. Social media has also been shown to add real value to networking and communication in disaster management.
C1 [Eudoxie, Gaius; Roopnarine, Ronald] Univ West Indies St Augustine, St Augustine, Trinidad Tobago.
C3 University West Indies Mona Jamaica; University West Indies Saint
   Augustine
RP Eudoxie, G (corresponding author), Univ West Indies St Augustine, St Augustine, Trinidad Tobago.
RI Roopnarine, Ronald/ABA-6380-2021
OI Roopnarine, Ronald/0000-0003-2905-8700
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], SECR REFL IND LAND D
   [Anonymous], ENDURING GEOHAZARDS
   [Anonymous], MAN LOC LEV ASS LAND
   [Anonymous], GIS BASED LANDSLIDE
   [Anonymous], 2003, DEALING INCREASED RI
   [Anonymous], P COST ACT C26 SEM U
   [Anonymous], 2010, Elements of the nature and properties of soils
   [Anonymous], VULN CAP AN
   [Anonymous], 2001, GLOB ENV CHANGE PART, DOI DOI 10.1016/S1464-2867(01)00018-3
   [Anonymous], 1998, COASTAL MARINE RESOU
   [Anonymous], 2007, DISASTER RESPONSE RI
   [Anonymous], GLOBAL HLTH ACTION
   [Anonymous], GUID BEST MAN PRACT
   [Anonymous], 2004, AT RISK
   [Anonymous], 2013, J. Earth Sci. Geotech. Eng
   [Anonymous], UND RISK EV WORLD EM
   [Anonymous], LAND DEGR CAR
   [Anonymous], KNOWLEDGE BRIEF RISK
   [Anonymous], RED RISKS PROM HEALT
   [Anonymous], SISTEMA INDICADORES
   [Anonymous], 2010, CLIMATE SMART DISAST
   [Anonymous], 2013, GUID DIS PREV ASS PE
   [Anonymous], BRING RES SCAL
   [Anonymous], SOIL
   Barbier EB, 2006, FRONT ECOL ENVIRON, V4, P124, DOI 10.1890/1540-9295(2006)004[0124:NBTNDR]2.0.CO;2
   Benson C., 2001, DOMINICA NATURAL DIS
   Bisek P., 2001, STRATEGY RESULTS FRA
   Cardona Omar Dario., 2003, La nocion de riesgo desde la perspectiva de los desastres, Manizales, IADBECLAC-IDEA
   Carrara A, 1999, NAT HAZARDS, V20, P117, DOI 10.1023/A:1008097111310
   Collymore J, 2011, ENVIRON HAZARDS-UK, V10, P6, DOI 10.3763/ehaz.2011.0002
   Dale VH, 2001, BIOSCIENCE, V51, P723, DOI 10.1641/0006-3568(2001)051[0723:CCAFD]2.0.CO;2
   ECLAC, 2011, SAINT LUC MACR SOC E
   Ellison AM, 2008, J SEA RES, V59, P2, DOI 10.1016/j.seares.2007.05.003
   Folke C, 2010, ECOL SOC, V15
   Jessamy V.R., 2003, MODELLING COMMUNITY
   Kirton M., 2013, Caribbean Regional Disaster Response and Management Mechanisms: Prospects and Challenges
   Lan HX, 2004, ENG GEOL, V76, P109, DOI 10.1016/j.enggeo.2004.06.009
   LesFouris G, 2008, SIR A LEW MEM C STA
   Lewsey C, 2004, MAR POLICY, V28, P393, DOI 10.1016/j.marpol.2003.10.016
   Lindell M., 2005, Natural Hazards Review, V6, P171, DOI DOI 10.1061/(ASCE)1527-6988(2003)4:4(176)
   Lugo AE, 2000, SCI TOTAL ENVIRON, V262, P243, DOI 10.1016/S0048-9697(00)00526-X
   Muttarak R, 2014, ECOL SOC, V19, DOI 10.5751/ES-06476-190142
   Nagarajan R, 1998, INT J REMOTE SENS, V19, P573, DOI 10.1080/014311698215865
   O'Brien G, 2006, DISASTERS, V30, P64, DOI 10.1111/j.1467-9523.2006.00307.x
   O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2
   Pantin D. A., 2008, 2 LECT YEAR SIR WA L
   Paul BK, 2010, DISASTERS, V34, P337, DOI 10.1111/j.1467-7717.2009.01132.x
   Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002
   Pielke RA, 2003, NAT HAZARDS REV, V4, P101, DOI 10.1061/(ASCE)1527-6988(2003)4:3(101)
   Poncelet JL, 1997, DISASTERS, V21, P267, DOI 10.1111/1467-7717.00061
   Roopnarine R., 2012, Geomaterials, V2, P1, DOI DOI 10.4236/GM.2012.21001
   Sodhi NS, 2004, TRENDS ECOL EVOL, V19, P654, DOI 10.1016/j.tree.2004.09.006
   Tompkins EL, 2004, ECOL SOC, V9
   UNDP, 2004, RED DIS CHALL DEV
   Van Westen CJ, 1999, NAT HAZARDS, V20, P137, DOI 10.1023/A:1008036810401
   World Bank and Global Facility for Disaster Reduction and Recovery, 2013, BUILD RES INT CLIM D
   Yates D, 2011, INT J INFORM MANAGE, V31, P6, DOI 10.1016/j.ijinfomgt.2010.10.001
NR 58
TC 0
Z9 0
U1 1
U2 12
PU IGI GLOBAL
PI HERSEY
PA 701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA
BN 978-1-5225-5488-2; 978-1-5225-5487-5
PY 2018
BP 354
EP 382
DI 10.4018/978-1-5225-5487-5.ch019
D2 10.4018/978-1-5225-5487-5
PG 29
WC Environmental Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology
GA BM6TO
UT WOS:000467372300019
DA 2025-01-10
ER

PT J
AU Littlefield, CE
   McRae, BH
   Michalak, JL
   Lawler, JJ
   Carroll, C
AF Littlefield, Caitlin E.
   McRae, Brad H.
   Michalak, Julia L.
   Lawler, Joshua J.
   Carroll, Carlos
TI Connecting today's climates to future climate analogs to facilitate
   movement of species under climate change
SO CONSERVATION BIOLOGY
LA English
DT Article
DE climate analogs; climate-change adaptation; connectivity; dispersal
ID RANGE SHIFTS; CHANGE IMPACTS; CONSERVATION; DISPERSAL; BIODIVERSITY;
   LANDSCAPE; VELOCITY; MAMMALS; DESIGN; MODEL
AB Increasing connectivity is an important strategy for facilitating species range shifts and maintaining biodiversity in the face of climate change. To date, however, few researchers have included future climate projections in efforts to prioritize areas for increasing connectivity. We identified key areas likely to facilitate climate-induced species' movement across western North America. Using historical climate data sets and future climate projections, we mapped potential species' movement routes that link current climate conditions to analogous climate conditions in the future (i.e., future climate analogs) with a novel moving-window analysis based on electrical circuit theory. In addition to tracing shifting climates, the approach accounted for landscape permeability and empirically derived species' dispersal capabilities. We compared connectivity maps generated with our climate-change-informed approach with maps of connectivity based solely on the degree of human modification of the landscape. Including future climate projections in connectivity models substantially shifted and constrained priority areas for movement to a smaller proportion of the landscape than when climate projections were not considered. Potential movement, measured as current flow, decreased in all ecoregions when climate projections were included, particularly when dispersal was limited, which made climate analogs inaccessible. Many areas emerged as important for connectivity only when climate change was modeled in 2 time steps rather than in a single time step. Our results illustrate that movement routes needed to track changing climatic conditions may differ from those that connect present-day landscapes. Incorporating future climate projections into connectivity modeling is an important step toward facilitating successful species movement and population persistence in a changing climate.
C1 [Littlefield, Caitlin E.; Michalak, Julia L.; Lawler, Joshua J.] Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
   [McRae, Brad H.] Nature Conservancy, 117 E Mt Ave,Suite 201, Ft Collins, CO 80524 USA.
   [Carroll, Carlos] Klamath Ctr Conservat Res, Box 104, Orleans, CA 95556 USA.
C3 University of Washington; University of Washington Seattle; Nature
   Conservancy
RP Littlefield, CE (corresponding author), Univ Washington, Sch Environm & Forest Sci, Box 352100, Seattle, WA 98195 USA.
EM clittlef@uw.edu
OI Michalak, Julia/0000-0002-2524-8390
FU Wilburforce Foundation; National Park Service grant [J8W0711014];
   National Aeronautics and Space Administration [NNX17AF58G]
FX We thank the Wilburforce Foundation for supporting this work through
   their funding of the Adaptwest Climate Adaptation Planning Project.
   Additional support was provided by a National Park Service grant to
   identify barriers and refugia in a changing climate (task agreement
   J8W0711014) and a National Aeronautics and Space Administration grant
   (NNX17AF58G). We acknowledge the World Climate Research Programme's
   Working Group on Coupled Modelling for making available the CMIP5 data
   set. We are also grateful for the constructive feedback of several
   anonymous reviewers.
CR Anderson M.G., 2014, Resilient Sites for Terrestrial Conservation in the Southeast Region
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2014, RED LIST THREAT SPEC
   [Anonymous], 2013, BIRD SPEC DISTR MAPS
   Ayebare Samuel., 2013, Identifying Climate Resilient Corridors fo r Conservation in the Albertine Rift
   Bowman J, 2002, ECOLOGY, V83, P2049, DOI 10.2307/3071786
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Burrows MT, 2014, NATURE, V507, P492, DOI 10.1038/nature12976
   Carroll C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140486
   Daly C, 2002, CLIM RES, V22, P99, DOI 10.3354/cr022099
   Davis MB, 2001, SCIENCE, V292, P673, DOI 10.1126/science.292.5517.673
   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
   Early R, 2011, ECOL LETT, V14, P1125, DOI 10.1111/j.1461-0248.2011.01681.x
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Gillson L, 2013, TRENDS ECOL EVOL, V28, P135, DOI 10.1016/j.tree.2012.10.008
   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
   Hannah L, 2011, CONSERV BIOL, V25, P1139, DOI 10.1111/j.1523-1739.2011.01788.x
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Keith DA, 2008, BIOL LETTERS, V4, P560, DOI 10.1098/rsbl.2008.0049
   Kerr JT, 2015, SCIENCE, V349, P177, DOI 10.1126/science.aaa7031
   Krosby M, 2010, CONSERV BIOL, V24, P1686, DOI 10.1111/j.1523-1739.2010.01585.x
   Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315
   Lawler JJ, 2013, ECOL LETT, V16, P1014, DOI 10.1111/ele.12132
   Lister NM, 2015, FRONT ECOL ENVIRON, V13, P493, DOI 10.1890/150080
   Mazaris AD, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059640
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McRae B., 2016, CONSERVING NATURES S
   McRae B. H., 2013, Circuitscape 4 User Guide
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   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
   Ordonez A, 2013, CLIMATIC CHANGE, V119, P659, DOI 10.1007/s10584-013-0752-1
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Patterson B., 2007, Digital Distribution Maps of the Mammals of the Western Hemisphere
   PETERS RL, 1985, BIOSCIENCE, V35, P707, DOI 10.2307/1310052
   Roberts DR, 2012, ECOGRAPHY, V35, P792, DOI 10.1111/j.1600-0587.2011.07147.x
   Robillard CM, 2015, CONSERV BIOL, V29, P1586, DOI 10.1111/cobi.12556
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Scriven SA, 2015, BIOL CONSERV, V184, P414, DOI 10.1016/j.biocon.2015.02.018
   Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777
   Settele J, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P271
   Sinervo B, 2010, SCIENCE, V328, P894, DOI 10.1126/science.1184695
   Smith MA, 2005, ECOGRAPHY, V28, P110
   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
   TAYLOR PD, 1993, OIKOS, V68, P571, DOI 10.2307/3544927
   Theobald D, 2016, HUMAN MODIFICATION N
   Theobald DM, 2013, LANDSCAPE ECOL, V28, P1859, DOI 10.1007/s10980-013-9941-6
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   U.S. Environmental Protection Agency (U.S. EPA), 2010, EC CONT US
   Urban MC, 2013, ANN NY ACAD SCI, V1297, P44, DOI 10.1111/nyas.12184
   Vieilledent G, 2013, BIOL CONSERV, V166, P11, DOI 10.1016/j.biocon.2013.06.007
   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
NR 63
TC 81
Z9 87
U1 17
U2 124
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 2017
VL 31
IS 6
BP 1397
EP 1408
DI 10.1111/cobi.12938
PG 12
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FO9BV
UT WOS:000417183900018
PM 28339121
DA 2025-01-10
ER

PT J
AU Ingty, T
AF Ingty, Tenzing
TI High mountain communities and climate change: adaptation, traditional
   ecological knowledge, and institutions
SO CLIMATIC CHANGE
LA English
DT Article
ID FUZZY-LOGIC; VULNERABILITY; SYSTEMS; WATER; AGRICULTURE; RESILIENCE;
   PHENOLOGY; EXTREMES; IMPACTS
AB Our planet has already committed to climate change and will experience its associated impacts; thus, mitigation along with adaptation strategies cannot be mutually exclusive. Yet, international and national policies to tackle climate change have focused more on mitigation than adaptation. On the other hand, indigenous communities have been continuously adapting to environmental stresses for millennia, including more recent cascading impacts of climate change. Indigenous communities have developed a wealth of information in the form of their traditional ecological knowledge (TEK), based on their observations of the obvious linkages between changing climatic conditions and biodiversity. Here, I hypothesize that in harsh environments such as the alpine Himalaya, social systems particularly local institutions that are largely based on TEK are important in improving adaptive capacity by providing social, economic, and ecological security to the community. I provide an insight into the adaptation strategies of two communities that inhabit the alpine zones of the Sikkim Himalaya, in India. We address two broad questions: (1) How are indigenous communities in the vulnerable alpine zones of the Himalaya adapting to the complex challenges posed by climate change particularly in conjunction with their indigenous governing institution? We give examples of adaptation strategies and broadly categorize them into six groups, namely (a) Institutional capital, (b) Rationing, (c) Forecasting, (d) Mobility, (e) Economic diversification, and (f) Communal pooling. (2) How can TEK be integrated with climate change sciences for improving data availability and better policy? I conclude with a framework that uses a holistic approach complementing the rigor of science with the wealth of TEK to suggest pathways for improved policy response to climate change.
C1 [Ingty, Tenzing] Univ Massachusetts, Dept Biol, Boston, MA 02125 USA.
C3 University of Massachusetts System; University of Massachusetts Boston
RP Ingty, T (corresponding author), Univ Massachusetts, Dept Biol, Boston, MA 02125 USA.
EM tenzingingty@gmail.com
RI ingty, tenzing/GRY-2854-2022
OI ingty, tenzing/0000-0001-7993-4241
CR Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   [Anonymous], INT J POPUL GEOGR
   Aryal S, 2014, CLIMATIC CHANGE, V125, P193, DOI 10.1007/s10584-014-1157-5
   Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141
   Bawa K S., 2012, Climate Change in Sikkim Patterns, Impacts and Initiatives. Information and Public Relations Department, P413
   Berkes F, 2009, FUTURES, V41, P6, DOI 10.1016/j.futures.2008.07.003
   Berkes Fikret., 2010, INT J COMMONS, V4, P1, DOI [DOI 10.18352/IJC.206, 10.18352/ijc.206/]
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Bethel MB, 2014, J COASTAL RES, V30, P1081, DOI 10.2112/JCOASTRES-D-13-00214.1
   Bhutia D T., 2012, Independent peoples tribunal on dams, environemnt and displacement
   Bourdet-Sabatier S., 2004, Bulletin of Tibetology, V40, P93
   Bridges KW, 2009, GLOBAL ENVIRON CHANG, V19, P140, DOI 10.1016/j.gloenvcha.2009.01.009
   Byg A, 2009, GLOBAL ENVIRON CHANG, V19, P156, DOI 10.1016/j.gloenvcha.2009.01.010
   Calamia MarkA., 1999, TRADITIONAL MARINE R, V10, P2
   Chaudhary P, 2011, BIOL LETTERS, V7, P767, DOI 10.1098/rsbl.2011.0269
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Dorji T, 2013, GLOBAL CHANGE BIOL, V19, P459, DOI 10.1111/gcb.12059
   Ford JD, 2010, GLOBAL ENVIRON CHANG, V20, P177, DOI 10.1016/j.gloenvcha.2009.10.008
   Ford JD, 2004, ARCTIC, V57, P389, DOI 10.14430/arctic516
   Gómez-Baggethun E, 2012, GLOBAL ENVIRON CHANG, V22, P640, DOI 10.1016/j.gloenvcha.2012.02.005
   Henry S, 2004, POPUL ENVIRON, V25, P397
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Howitt R, 2012, GEOGR RES-AUST, V50, P47, DOI 10.1111/j.1745-5871.2011.00709.x
   Huber A, 2015, WORLD DEV, V76, P13, DOI 10.1016/j.worlddev.2015.06.006
   Huntington HP, 2000, ECOL APPL, V10, P1270, DOI 10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2
   Ingty T., 2012, Climate Change in Sikkim Patterns, P275
   Jogesh A., 2014, Mainstreaming climate change in state development planning: An analysis of the Sikkim Action Plan on Climate Change
   Kaul V, 2014, REG ENVIRON CHANGE, V14, P683, DOI 10.1007/s10113-013-0526-3
   Kelly PM, 2000, CLIMATIC CHANGE, V47, P325, DOI 10.1023/A:1005627828199
   LEE CC, 1990, IEEE T SYST MAN CYB, V20, P404, DOI 10.1109/21.52551
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Lim NKM, 2016, ROY SOC OPEN SCI, V3, DOI 10.1098/rsos.160635
   Macchi M., 2008, INDIGENOUS TRADITION
   Marin A, 2010, GLOBAL ENVIRON CHANG, V20, P162, DOI 10.1016/j.gloenvcha.2009.10.004
   McGregor S, 2010, HUM ECOL, V38, P721, DOI 10.1007/s10745-010-9362-y
   McLeman R, 2006, CLIMATIC CHANGE, V76, P31, DOI 10.1007/s10584-005-9000-7
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Menzel A, 2006, GLOBAL CHANGE BIOL, V12, P1969, DOI 10.1111/j.1365-2486.2006.01193.x
   Moller H, 2004, ECOL SOC, V9
   Nogués-Bravo D, 2007, GLOBAL ENVIRON CHANG, V17, P420, DOI 10.1016/j.gloenvcha.2006.11.007
   Nyong A., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P787, DOI 10.1007/s11027-007-9099-0
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pesek T, 2009, ECOHEALTH, V6, P79, DOI 10.1007/s10393-009-0224-2
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Platje J, 2008, TECHNOL ECON DEV ECO, V14, P144, DOI 10.3846/1392-8619.2008.14.144-150
   Primack D, 2004, AM J BOT, V91, P1260, DOI 10.3732/ajb.91.8.1260
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Rodima-Taylor D, 2012, APPL GEOGR, V33, P107, DOI 10.1016/j.apgeog.2011.10.011
   Salick J, 2009, GLOBAL ENVIRON CHANG, V19, P137, DOI 10.1016/j.gloenvcha.2009.01.004
   Salick Jan., 2007, INDIGENOUS PEOPLES C
   Shrestha UB, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036741
   Singh P., 1997, Plant Diversity and Hotspots in India, P137
   Smit B, 1996, GLOBAL ENVIRON CHANG, V6, P205, DOI 10.1016/0959-3780(96)00018-0
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Speranza CI, 2010, CLIMATIC CHANGE, V100, P295, DOI 10.1007/s10584-009-9713-0
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Tambe S, 2009, AMBIO, V38, P95, DOI 10.1579/0044-7447-38.2.95
   Thornton TF, 2010, ENVIRON SOC, V1, P132, DOI 10.3167/ares.2010.010107
   Turner NJ, 2009, GLOBAL ENVIRON CHANG, V19, P180, DOI 10.1016/j.gloenvcha.2009.01.005
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   Usher PJ, 2000, ARCTIC, V53, P183, DOI 10.14430/arctic849
   Virtanen P., 2011, Consilience: The Journal of Sustainable Development, P96
   Wise RM, 2014, GLOBAL ENVIRON CHANG, V28, P325, DOI 10.1016/j.gloenvcha.2013.12.002
   Xu JC, 2009, CONSERV BIOL, V23, P520, DOI 10.1111/j.1523-1739.2009.01237.x
   Yao TD, 2004, SCI CHINA SER D, V47, P1065, DOI 10.1360/03yd0256
   Yeh ET, 2014, HUM ECOL, V42, P61, DOI 10.1007/s10745-013-9625-5
   Yu HY, 2010, P NATL ACAD SCI USA, V107, P22151, DOI 10.1073/pnas.1012490107
   ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X
NR 69
TC 49
Z9 55
U1 2
U2 85
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 2017
VL 145
IS 1-2
BP 41
EP 55
DI 10.1007/s10584-017-2080-3
PG 15
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 FM4XI
UT WOS:000415031800004
DA 2025-01-10
ER

PT J
AU Webb, L
   Darbyshire, R
   Erwin, T
   Goodwin, I
AF Webb, Leanne
   Darbyshire, Rebecca
   Erwin, Tim
   Goodwin, Ian
TI A robust impact assessment that informs actionable climate change
   adaptation: future sunburn browning risk in apple
SO INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
LA English
DT Article
DE Extreme temperature; Sunburn browning; Netting; Horticulture; Pome
   fruit; Climate projections
ID FRUIT; AUSTRALIA; TEMPERATURES; SCENARIOS; EXTREMES; QUALITY; ANALOGS;
   TRENDS
AB Climate change impact assessments are predominantly undertaken for the purpose of informing future adaptation decisions. Often, the complexity of the methodology hinders the actionable outcomes. The approach used here illustrates the importance of considering uncertainty in future climate projections, at the same time providing robust and simple to interpret information for decision-makers. By quantifying current and future exposure of Royal Gala apple to damaging temperature extremes across ten important pome fruit-growing locations in Australia, differences in impact to ripening fruit are highlighted, with, by the end of the twenty-first century, some locations maintaining no sunburn browning risk, while others potentially experiencing the risk for the majority of the January ripening period. Installation of over-tree netting can reduce the impact of sunburn browning. The benefits from employing this management option varied across the ten study locations. The two approaches explored to assist decision-makers assess this information (a) using sunburn browning risk analogues and (b) through identifying hypothetical sunburn browning risk thresholds, resulted in varying recommendations for introducing over-tree netting. These recommendations were location and future time period dependent with some sites showing no benefit for sunburn protection from nets even by the end of the twenty-first century and others already deriving benefits from employing this adaptation option. Potential best and worst cases of sunburn browning risk and its potential reduction through introduction of over-tree nets were explored. The range of results presented highlights the importance of addressing uncertainty in climate projections that result from different global climate models and possible future emission pathways.
C1 [Webb, Leanne; Darbyshire, Rebecca] Univ Melbourne, Fac Vet & Agr Sci, Parkville, Vic, Australia.
   [Erwin, Tim] CSIRO, Oceans & Atmosphere, PMB 1, Aspendale, Vic, Australia.
   [Goodwin, Ian] Dept Econ Dev Jobs Transport & Resources, Tatura, Australia.
C3 University of Melbourne; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Department of Economic Development, Jobs,
   Transport & Resources
RP Darbyshire, R (corresponding author), Univ Melbourne, Fac Vet & Agr Sci, Parkville, Vic, Australia.
EM rebecca.darbyshire@dpi.nsw.gov.au
RI Darbyshire, Rebecca/AAI-3945-2021; Erwin, Tim/C-7416-2016
OI Darbyshire, Rebecca/0000-0003-4712-8514
FU Australian Department of Agriculture and Water Resources
FX Funding for this research was provided by the Australian Department of
   Agriculture and Water Resources.
CR Alexander LV, 2007, AUST METEOROL MAG, V56, P1
   Alexander LV, 2009, INT J CLIMATOL, V29, P417, DOI 10.1002/joc.1730
   [Anonymous], 2001, Plant Health Prog, DOI [DOI 10.1094/PHP-2001-1004-01-RS, 10.1094/PHP-2001-1004-01-RS]
   [Anonymous], AUSTR CLIMATE 4 DEGR
   Australian Bureau of Statistics, 2008, AGR SURV APPL PEARS
   Australian Bureau of Statistics (ABS), 2016, 7503 0 VAL AGR COMM
   [BoM CSIRO], 2015, TECHNICAL REPORT, P222
   Clarke JM, 2011, 19TH INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2011), P2683
   Darbyshire R, 2015, NEW ZEAL J CROP HORT, V43, P222, DOI 10.1080/01140671.2015.1034731
   Edreva A, 2005, AGR ECOSYST ENVIRON, V106, P135, DOI 10.1016/j.agee.2004.10.002
   Evans RG, 2004, T ASAE, V47, P1029, DOI 10.13031/2013.16576
   Gindaba J, 2006, 27 INT HORT C IHC200, V772, P59
   Green S, 2012, VII INTERNATIONAL SY, V1038, p401e
   Hallegatte S, 2007, CLIMATIC CHANGE, V82, P47, DOI 10.1007/s10584-006-9161-z
   Iglesias I., 2006, Journal of Applied Horticulture (Lucknow), V8, P91
   IPCC, 2012, A SPECIAL REPORT OF
   Jones DA, 2009, AUST METEOROL OCEAN, V58, P233, DOI 10.22499/2.5804.003
   Kiem AS, 2013, CLIM RES, V58, P29, DOI 10.3354/cr01181
   Kjellstrom T, 2009, GLOBAL HEALTH ACTION, V2, DOI [10.3402/gha.v2i0.1958, 10.3402/gha.v2i0.2047]
   Kokic P., 2002, STAT DATA ANAL BASED, P15, DOI DOI 10.1007/978-3-0348-8201-9_2
   Ma FW, 2004, PLANT SCI, V166, P1479, DOI 10.1016/j.plantsci.2004.01.024
   Meehl G., 2011, Clivar Exchanges, V16, P4
   Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017
   Moise A, 2015, AUST METEOROL OCEAN, V65, P19, DOI 10.22499/2.6501.004
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Nakicenovic N., 2000, Special report on emissions scenarios. a 149 special report of working group III of the intergovernmental panel on climate change, P599
   NSW Government, 2015, FARM INN FUND
   Peters GP, 2012, NAT CLIM CHANGE, V2, P2, DOI 10.1038/nclimate1332
   Racsko J, 2012, CRIT REV PLANT SCI, V31, P455, DOI 10.1080/07352689.2012.696453
   Ritenour MA, 2001, J AM SOC HORTIC SCI, V126, P564, DOI 10.21273/JASHS.126.5.564
   Rogelj J, 2012, NAT CLIM CHANGE, V2, P248, DOI [10.1038/NCLIMATE1385, 10.1038/nclimate1385]
   Schrader L, 2003, ACTA HORTIC, P397, DOI 10.17660/ActaHortic.2003.618.47
   Schrader L., 2003, Proceedings of the Washington Tree Fruit Post-harvest Conference, P1
   Smit A, 2008, ACTA HORTIC, V772
   Smit A., 2007, THESIS
   Smith I, 2010, CLIMATIC CHANGE, V102, P377, DOI 10.1007/s10584-009-9757-1
   Solomakhin A, 2010, ANN APPL BIOL, V156, P121, DOI 10.1111/j.1744-7348.2009.00372.x
   do Amarante CVT, 2011, SCI HORTIC-AMSTERDAM, V129, P79, DOI 10.1016/j.scienta.2011.03.010
   Thomson G, 2014, NEW ZEAL J CROP HORT, V42, P21, DOI 10.1080/01140671.2013.838588
   Trewin B, 2013, 19 AMOS NAT C MELB, P11
   van Dijk AIJM, 2013, WATER RESOUR RES, V49, P1040, DOI 10.1002/wrcr.20123
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3
   Watterson IG, 2008, AUST METEOROL MAG, V57, P195
   Webb LB, 2013, AUST J GRAPE WINE R, V19, P331, DOI 10.1111/ajgw.12045
   Whetton P, 2012, CLIMATIC CHANGE, V115, P433, DOI 10.1007/s10584-012-0471-z
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
   Wilby RL., 2004, GUIDELINES USE CLIMA
   Wünsche JN, 2004, ACTA HORTIC, P631
   Wünsche JN, 2001, ACTA HORTIC, P349
   Zhang JianGuang Zhang JianGuang, 2003, Scientia Agricultura Sinica, V36, P731
NR 50
TC 5
Z9 6
U1 0
U2 26
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 MAY
PY 2017
VL 61
IS 5
BP 891
EP 901
DI 10.1007/s00484-016-1268-y
PG 11
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 ET8JJ
UT WOS:000400545400011
PM 27841003
DA 2025-01-10
ER

PT J
AU Turner, RK
   Palmieri, MG
   Luisetti, T
AF Turner, R. Kerry
   Palmieri, Maria Giovanna
   Luisetti, Tiziana
TI Lessons from the Construction of a Climate Change Adaptation Plan: A
   Broads Wetland Case Study
SO INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT
LA English
DT Article
DE Adaptive management; Climate change; Ecosystem services; Stakeholder
   fatigue; Stakeholder social networks
ID MANAGED REALIGNMENT; ECOSYSTEM SERVICES; ESTUARY
AB The dynamic nature of environmental change in coastal areas means that a flexible "learning by doing" management strategy has a number of advantages. This article lays out the principles of such a strategy and then assesses an actual planning and management process focused on climate change consequences for the Broads wetland on the East coast of England. The management strategy focused on the concept of ecosystem services (stocks and flows) provided by the coastal wetland and the threats and opportunities posed to the area by sea level rise and other climate change impacts. The analysis explores the process by which an adaptive management plan has been formulated and coproduced by a combination of centralized (vertical) and stakeholder social network (horizontal) arrangements. The process values where feasible the ecosystem services under threat and prioritizes response actions. Coastal management needs a careful balance between strategic requirements imposed at a national scale and local schemes that affect regional and/or local communities and social networks. These networks aided by electronic media have allowed groups to engage more rapidly and effectively with policy proposals. However, successful deliberation is conditioned by a range of context specific factors, including the type of social networks present and their relative competitive and/or complementary characteristics. The history of consultation and dialogue between official agencies and stakeholders also plays a part in contemporary deliberation processes and the success of their outcomes. Among the issues highlighted are the multiple dimensions of nature's value; the difficulty of quantifying some ecosystem service changes, especially for cultural services; and the problem of "stakeholder fatigue" complicating engagement arrangements. (C) 2016 SETAC
C1 [Turner, R. Kerry; Palmieri, Maria Giovanna] Univ E Anglia, Sch Environm Sci, Ctr Social & Econ Res Global Environm CSERGE, Norwich, Norfolk, England.
   [Luisetti, Tiziana] Ctr Environm Fisheries & Aquaculture Sci CEFAS, Lowestoft, Suffolk, England.
C3 University of East Anglia; Centre for Environment Fisheries &
   Aquaculture Science
RP Turner, RK (corresponding author), Univ E Anglia, Sch Environm Sci, Ctr Social & Econ Res Global Environm CSERGE, Norwich, Norfolk, England.
EM r.k.turner@uea.ac.uk
RI Palmieri, Maria/A-3211-2012
FU European Commission [282748]
FX Architecture and roadmap to manage multiple pressures on lagoons (ARCH)
   is a 4-year collaborative research project funded (under the grant
   agreement 282748) by the Seventh Framework Programme for research and
   technological development (FP7) of the European Commission.
   Thematically, the project belongs to Cooperation Theme 6 Environment
   (including climate change). The project team is composed of 11
   institutions from 9 European countries and we gratefully acknowledge our
   partners and their contributions to ARCH: IVL (Swedish Environmental
   Research Institute), HAW (Hamburg University of Applied Sciences), IPMA
   (Portuguese Institute for the Sea and Atmosphere), HCMR (Hellenic Centre
   for Marine Research), MIG (Maritime Institute in Gdansk), GeoEcoMar
   (National Research and Development Institute for Marine Geology and
   Geoecology), UEA (University of East Anglia), UNEW (Newcastle
   University), CAU (Christian-Albrechts-Universitaet zu Kiel), TNO
   (Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek
   "Netherlands Organisation for Applied Scientific Research"), NGI
   (Norwegian Geotechnical Institute).
CR Andrews JE, 2006, SCI TOTAL ENVIRON, V371, P19, DOI 10.1016/j.scitotenv.2006.08.021
   [Anonymous], TECHNICAL REPORT
   Balmford A, 2011, ENVIRON RESOUR ECON, V48, P161, DOI 10.1007/s10640-010-9413-2
   Bateman IJ, 2011, ENVIRON RESOUR ECON, V48, P177, DOI 10.1007/s10640-010-9418-x
   [BBC] British Broadcasting Corporation, 2003, 50 YEARS UK FLOOD RI
   Borgatti SP, 2009, SCIENCE, V323, P892, DOI 10.1126/science.1165821
   Boyd J, 2007, ECOL ECON, V63, P616, DOI 10.1016/j.ecolecon.2007.01.002
   Broads Authority, 2011, BROADS CLIM CHANG AD
   Broads Authority, 2007, STAT PARK REP BROADS
   Broads Authority, 2008, LAK REST STRAT BROAD
   Broads Authority, 2013, BROADS COMM BROADS C
   Broads Authority, 2004, STRAT PLAN MAN NORF
   Broads Authority, 2006, BROADS LANDSC CHAR A
   Brouwer R, 1999, REG ENVIRON CHANGE, V1, P47, DOI 10.1007/s101130050007
   Elliott M, 2013, MAR POLLUT BULL, V74, P1, DOI 10.1016/j.marpolbul.2013.08.001
   Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014
   Luisetti T, 2011, OCEAN COAST MANAGE, V54, P212, DOI 10.1016/j.ocecoaman.2010.11.003
   Mee L, 2012, ESTUAR COAST SHELF S, V96, P1, DOI 10.1016/j.ecss.2010.02.013
   [NWF] National Wildlife Federation, 2014, PUTT AD PRINC PRACT
   Price J, 2013, POTENTIAL IMPACTS CL
   Shepherd D, 2007, ESTUAR COAST SHELF S, V73, P355, DOI 10.1016/j.ecss.2007.01.019
   Turner RK, 2015, STU ECO ECO, V9, P11, DOI 10.1007/978-3-319-17214-9_2
   Turner RK, 2004, REG ENVIRON CHANGE, V4, P86, DOI 10.1007/s10113-004-0075-x
   Turner RK, 2003, ECOL ECON, V46, P493, DOI 10.1016/S0921-8009(03)00189-7
   Turner RK, 2003, MANAGING WETLANDS : AN ECOLOGICAL ECONOMICS APPROACH, P250
   [UKNEAFO] UK National Ecosystem Assessment Follow-on, 2014, SYNTH KEY FIND
NR 26
TC 14
Z9 14
U1 2
U2 54
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1551-3777
EI 1551-3793
J9 INTEGR ENVIRON ASSES
JI Integr. Environ. Assess. Manag.
PD OCT
PY 2016
VL 12
IS 4
BP 719
EP 725
DI 10.1002/ieam.1774
PG 7
WC Environmental Sciences; Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Toxicology
GA DW0XH
UT WOS:000383365800023
PM 26946335
DA 2025-01-10
ER

PT J
AU Alagador, D
   Cerdeira, JO
   Araújo, MB
AF Alagador, Diogo
   Cerdeira, Jorge Orestes
   Araujo, Miguel Bastos
TI Climate change, species range shifts and dispersal corridors: an
   evaluation of spatial conservation models
SO METHODS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE connectivity; conservation planning; effectiveness; efficiency; graph
   theory; Marxan; mathematical programming; network flow; persistence;
   prioritisation; reserve selection; Worldmap; Zonation
ID PROTECTED AREA NETWORK; RESERVE-SELECTION; BIODIVERSITY CONSERVATION;
   EXTINCTION RISK; CAPE PROTEACEAE; DISTRIBUTIONS; CONNECTIVITY;
   PRIORITIZATION; PERSISTENCE; OPTIMIZATION
AB The notion that conservation areas are static geographical units for biodiversity conservation should be revised when planning for climate-change adaptation. Since species are expected to respond to climate change by shifting their distributions, conservation areas can lose the very same species that justified their designation. Methods exist to take into account the potential effects of climate on spatial priorities for conservation. One of such methods involves the identification of time-ordered linkages between conservation areas (hereafter termed climate-change corridors), thus enabling species tracking their suitable changing climates. We critically review and synthesise existing quantitative approaches for spatial conservation planning under climate change. We extend these approaches focusing on the identification of climate-change corridors, using three alternative models that vary on the objective function (minimum cost or maximum benefit sought) and on the nature of conservation targets (area-based or persistence probabilities). The three models for establishing climate-change corridors are illustrated with a case study involving two species distributed across the Iberian Peninsula. The species were modelled in relation to climate-change scenarios using ensembles of bioclimatic models and theoretical dispersal kernels. The corridors obtained are compared for their location, the temporal sequence of priorities, and the effectiveness with which solutions attain persistence and cost objectives. By clearly framing the climate-change corridors problem as three alternative models and providing the corresponding mathematical descriptions and solving tools, we offer planners a wide spectrum of models that can be easily adapted to a variety of conservation goals and constraints.
C1 [Alagador, Diogo; Araujo, Miguel Bastos] Univ Evora, CIBIO InBio UE Ctr Invest Biodiversidade & Recurs, P-7000890 Evora, Portugal.
   [Cerdeira, Jorge Orestes] Univ Nova Lisboa, Dept Matemat, P-2829516 Caparica, Portugal.
   [Cerdeira, Jorge Orestes] Univ Nova Lisboa, Ctr Matemat & Aplicacoes, Fac Ciencias & Tecnol, P-2829516 Quinta Da Torre, Caparica, Portugal.
   [Araujo, Miguel Bastos] CSIC, Museo Nacl Ciencias Nat, Dept Biogeog & Global Change, Plaza Murillo 2, E-28006 Madrid, Spain.
C3 University of Evora; Universidade Nova de Lisboa; Universidade Nova de
   Lisboa; Consejo Superior de Investigaciones Cientificas (CSIC); CSIC -
   Museo Nacional de Ciencias Naturales (MNCN)
RP Alagador, D (corresponding author), Univ Evora, CIBIO InBio UE Ctr Invest Biodiversidade & Recurs, P-7000890 Evora, Portugal.
EM alagador@uevora.pt
RI Alagador, Diogo/A-2846-2014; Bastos Araujo, Miguel/B-6117-2008;
   Cerdeira, Jorge Orestes/G-2016-2016
OI Alagador, Diogo/0000-0003-0710-3187; Bastos Araujo,
   Miguel/0000-0002-5107-7265; Cerdeira, Jorge Orestes/0000-0002-3814-7660
FU Fundacao para a Ciencia e a Tecnologia (FCT) [PTDC/AAG-GLO/3979/2014,
   1/SAESCTN/ALENT-07-0224-FEDER-001755]; FCT [UID/MAT/00297/2013]; FEDER
   through the COMPETE - Programa Operacional Factores de Competitividade;
   National funds via ECT [SFRH/BPD/104077/2014]; Fundação para a Ciência e
   a Tecnologia [PTDC/AAG-GLO/3979/2014] Funding Source: FCT
FX This research was funded through the Fundacao para a Ciencia e a
   Tecnologia (FCT) project PTDC/AAG-GLO/3979/2014 led by DA and through
   Integrated Program of IC&DT Call No 1/SAESCTN/ALENT-07-0224-FEDER-001755
   led by MBA. JOC acknowledges support from the FCT's project
   UID/MAT/00297/2013. DA also received support from FEDER through the
   COMPETE - Programa Operacional Factores de Competitividade - and
   National funds via ECT with a postdoctoral fellowship
   SFRH/BPD/104077/2014. Two anonymous referees provided helpful comments
   on an earlier version of the manuscript.
CR Ahuja R. K., 1993, Network Flows: Theory, Algorithms, and Applications
   Akçakaya HR, 2006, GLOBAL CHANGE BIOL, V12, P2037, DOI 10.1111/j.1365-2486.2006.01253.x
   Alagador D, 2014, J APPL ECOL, V51, P703, DOI 10.1111/1365-2664.12230
   Alagador D, 2012, LANDSCAPE ECOL, V27, P291, DOI 10.1007/s10980-012-9704-9
   Allnutt TF, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0028969
   Amorim F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087291
   Anderson BJ, 2009, P ROY SOC B-BIOL SCI, V276, P1415, DOI 10.1098/rspb.2008.1681
   Araujo M.B., 2009, Spatial conservation prioritization: Quantitative methods and computational tools, P172
   Araújo MB, 2000, BIOL CONSERV, V96, P331, DOI 10.1016/S0006-3207(00)00074-4
   Araújo MB, 2005, ECOGRAPHY, V28, P693, DOI 10.1111/j.2005.0906-7590.04253.x
   Araújo MB, 2004, GLOBAL CHANGE BIOL, V10, P1618, DOI 10.1111/j.1365-2486.2004.00828.x
   Araújo MB, 2002, BIODIVERS CONSERV, V11, P1011, DOI 10.1023/A:1015809008522
   Araújo MB, 2002, P ROY SOC B-BIOL SCI, V269, P1971, DOI 10.1098/rspb.2002.2121
   Araújo MB, 2011, ECOL LETT, V14, P484, DOI 10.1111/j.1461-0248.2011.01610.x
   Ball I. R., 2009, SPATIAL CONSERVATION, P185
   Balmford A, 2003, P NATL ACAD SCI USA, V100, P1046, DOI 10.1073/pnas.0236945100
   Baselga A, 2009, ECOGRAPHY, V32, P55, DOI 10.1111/j.1600-0587.2009.05856.x
   Billionnet A, 2013, EUR J OPER RES, V231, P514, DOI 10.1016/j.ejor.2013.03.025
   Bond NR, 2014, DIVERS DISTRIB, V20, P931, DOI 10.1111/ddi.12213
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Buckley LB, 2010, ECOL LETT, V13, P1041, DOI 10.1111/j.1461-0248.2010.01479.x
   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
   Drielsma M, 2014, ECOL MODEL, V274, P80, DOI 10.1016/j.ecolmodel.2013.11.028
   Faleiro FV, 2013, BIOL CONSERV, V158, P248, DOI 10.1016/j.biocon.2012.09.020
   Fordham DA, 2013, NAT CLIM CHANGE, V3, P899, DOI 10.1038/NCLIMATE1954
   Fordham DA, 2013, ECOGRAPHY, V36, P956, DOI 10.1111/j.1600-0587.2013.00147.x
   Fuller RA, 2010, NATURE, V466, P365, DOI 10.1038/nature09180
   Game ET, 2008, ECOL APPL, V18, P670, DOI 10.1890/07-1027.1
   Game ET, 2011, GLOBAL CHANGE BIOL, V17, P3150, DOI 10.1111/j.1365-2486.2011.02457.x
   Garcia RA, 2014, SCIENCE, V344, P486, DOI 10.1126/science.1247579
   García-Valdés R, 2013, J ECOL, V101, P441, DOI 10.1111/1365-2745.12049
   Hannah L, 2007, FRONT ECOL ENVIRON, V5, P131, DOI 10.1890/1540-9295(2007)5[131:PANIAC]2.0.CO;2
   Hannah L, 2014, TRENDS ECOL EVOL, V29, P390, DOI 10.1016/j.tree.2014.04.006
   Hermoso V, 2013, DIVERS DISTRIB, V19, P1031, DOI 10.1111/ddi.12082
   Hermoso V, 2012, J APPL ECOL, V49, P1028, DOI 10.1111/j.1365-2664.2012.02191.x
   Hiley JR, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2310
   Hodgson JA, 2011, J APPL ECOL, V48, P148, DOI 10.1111/j.1365-2664.2010.01919.x
   Hof C, 2011, GLOBAL CHANGE BIOL, V17, P2987, DOI 10.1111/j.1365-2486.2011.02418.x
   Hole DG, 2009, ECOL LETT, V12, P420, DOI 10.1111/j.1461-0248.2009.01297.x
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Klein CJ, 2013, CONSERV LETT, V6, P324, DOI 10.1111/conl.12005
   Klorvuttimontara S, 2011, BIOL CONSERV, V144, P2534, DOI 10.1016/j.biocon.2011.07.012
   Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315
   Kujala H, 2011, BIOL CONSERV, V144, P2450, DOI 10.1016/j.biocon.2011.06.023
   Leach K, 2013, BIOL CONSERV, V159, P490, DOI 10.1016/j.biocon.2012.11.025
   Lehtomäki J, 2013, ENVIRON MODELL SOFTW, V47, P128, DOI 10.1016/j.envsoft.2013.05.001
   Lemes P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0054323
   Levy JS, 2013, MAR POLICY, V38, P16, DOI 10.1016/j.marpol.2012.05.015
   Liu CR, 2013, J BIOGEOGR, V40, P778, DOI 10.1111/jbi.12058
   Loyola RD, 2013, BIODIVERS CONSERV, V22, P483, DOI 10.1007/s10531-012-0424-x
   Makino A, 2014, DIVERS DISTRIB, V20, P859, DOI 10.1111/ddi.12184
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   Meller L, 2014, DIVERS DISTRIB, V20, P309, DOI 10.1111/ddi.12162
   Moilanen A., 2009, Spatial conservation prioritization: Quantitative methods and computational tools, P196
   Moilanen A, 2008, BIOL CONSERV, V141, P1919, DOI 10.1016/j.biocon.2008.04.018
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Pearson RG, 2006, J BIOGEOGR, V33, P1704, DOI 10.1111/j.1365-2699.2006.01460.x
   Pearson RG, 2014, NAT CLIM CHANGE, V4, P217, DOI [10.1038/NCLIMATE2113, 10.1038/nclimate2113]
   Peterson A.T., 2011, Ecological Niches and Geographic Distributions (MPB- 49), V56
   Phillips SJ, 2008, ECOL APPL, V18, P1200, DOI 10.1890/07-0507.1
   Pressey RL, 1996, BIOL CONSERV, V76, P259, DOI 10.1016/0006-3207(95)00120-4
   PRESSEY RL, 1993, TRENDS ECOL EVOL, V8, P124, DOI 10.1016/0169-5347(93)90023-I
   Rayfield B, 2008, BIOL CONSERV, V141, P438, DOI 10.1016/j.biocon.2007.10.013
   Rodrigues ASL, 2002, BIOL CONSERV, V107, P123, DOI 10.1016/S0006-3207(02)00042-3
   Runting RK, 2013, GLOBAL CHANGE BIOL, V19, P352, DOI 10.1111/gcb.12064
   Shaw M Rebecca, 2012, Conserv Biol, V26, P385, DOI 10.1111/j.1523-1739.2012.01824.x
   Summers DM, 2012, GLOBAL CHANGE BIOL, V18, P2335, DOI 10.1111/j.1365-2486.2012.02700.x
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thuiller W, 2004, ECOGRAPHY, V27, P165, DOI 10.1111/j.0906-7590.2004.03673.x
   Visconti P, 2015, CONSERV BIOL, V29, P503, DOI 10.1111/cobi.12416
   Wan JZ, 2014, ECOL EVOL, V4, P2884, DOI 10.1002/ece3.1133
   Williams JW, 2013, GLOBAL ECOL BIOGEOGR, V22, P289, DOI 10.1111/j.1466-8238.2012.00760.x
   Williams P, 2005, CONSERV BIOL, V19, P1063, DOI 10.1111/j.1523-1739.2005.00080.x
   Williams PH, 2002, ENVIRON MODEL ASSESS, V7, P139, DOI 10.1023/A:1015657917928
NR 76
TC 63
Z9 71
U1 6
U2 126
PU WILEY-BLACKWELL
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2041-210X
EI 2041-2096
J9 METHODS ECOL EVOL
JI Methods Ecol. Evol.
PD JUL
PY 2016
VL 7
IS 7
BP 853
EP 866
DI 10.1111/2041-210X.12524
PG 14
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA DR5QL
UT WOS:000379957400011
OA Bronze
DA 2025-01-10
ER

PT J
AU Stewart, IT
   Ficklin, DL
   Carrillo, CA
   McIntosh, R
AF Stewart, Iris T.
   Ficklin, Darren L.
   Carrillo, Carlos A.
   McIntosh, Russell
TI 21st century increases in the likelihood of extreme hydrologic
   conditions for the mountainous basins of the Southwestern United States
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Climate change; Hydrology; Mountain streams; Extremes; Stream
   temperature; Southwestern US
ID NORTH-AMERICAN CLIMATE; SIERRA-NEVADA; HISTORICAL SIMULATIONS; STREAM
   TEMPERATURE; ATMOSPHERIC RIVERS; CHANGE IMPACTS; CALIFORNIA; WATER;
   SENSITIVITY; PROJECTIONS
AB Extreme hydrologic conditions, such as floods, droughts, and elevated stream temperatures, significantly impact the societal fabric and ecosystems, and there is rising concern about increases in the frequency of extreme conditions with projected climate changes. Here we ask what changes in the occurrence of extreme hydrologic conditions can be expected by the end of the century for the important water-generating, mountainous basins of the Southwestern United States, namely the Sierra Nevada and Upper Colorado River Basins. The extreme conditions considered are very high flows, low flows, and elevated stream temperature as derived from historic and future simulations using the Soil and Water Assessment Tool (SWAT) hydrologic model and downscaled output from a General Circulation Model ensemble. Results indicate noteworthy differences in the frequency changes of extremes based on geographic region, season, elevation, and stream size. We found wide-spread increases in the occurrence of stream flows exceeding 150% of historic monthly averages for winter by the end of the century, and extensive increases in the occurrence of both extreme low flows (representing <50% of historic monthly averages), and elevated stream temperatures (>3 degrees C of monthly averages) during the summer months, with some basins expecting extreme conditions 90-100% of the time by the end of the century. Understanding the differences in the changes of extreme conditions can identify climate-sensitive regions and assist in targeted planning for climate change adaptation and mitigation. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Stewart, Iris T.; Carrillo, Carlos A.; McIntosh, Russell] Santa Clara Univ, Dept Environm Studies & Sci, Santa Clara, CA 95053 USA.
   [Ficklin, Darren L.] Indiana Univ, Dept Geog, Bloomington, IN 47405 USA.
C3 Santa Clara University; Indiana University System; Indiana University
   Bloomington
RP Stewart, IT (corresponding author), Santa Clara Univ, Dept Environm Studies & Sci, 500 El Camino Real, Santa Clara, CA 95053 USA.
EM istewartfrey@scu.edu; dficklin@indiana.edu
RI Ficklin, Darren/C-3082-2013
OI Ficklin, Darren/0000-0003-3736-7407; Stewart-Frey,
   Iris/0000-0002-0232-2367
FU U.S. Environmental Protection Agency through EPA STAR [RD-83419101-0]
FX We gratefully acknowledge financial support for this work from the U.S.
   Environmental Protection Agency through EPA STAR Grant No.
   RD-83419101-0. We would also like to thank Ed Maurer and 3 anonymous
   reviewers for their suggestions.
CR Ackerman Frank., 2011, LAST DROP CLIMATE CH
   Allan RP, 2008, SCIENCE, V321, P1481, DOI 10.1126/science.1160787
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Barnett TP, 2008, SCIENCE, V319, P1080, DOI 10.1126/science.1152538
   Beniston M, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018857
   Cayan DR, 2008, CLIMATIC CHANGE, V87, pS21, DOI 10.1007/s10584-007-9377-6
   Cayan DR, 2010, P NATL ACAD SCI USA, V107, P21271, DOI 10.1073/pnas.0912391107
   Chang HJ, 2013, SCI TOTAL ENVIRON, V461, P587, DOI 10.1016/j.scitotenv.2013.05.033
   Christensen NS, 2004, CLIMATIC CHANGE, V62, P337, DOI 10.1023/B:CLIM.0000013684.13621.1f
   Comte L, 2013, FRESHWATER BIOL, V58, P625, DOI 10.1111/fwb.12081
   Cook ER, 2004, SCIENCE, V306, P1015, DOI 10.1126/science.1102586
   Cooley D, 2009, CLIMATIC CHANGE, V97, P77, DOI 10.1007/s10584-009-9627-x
   Dai AG, 2011, WIRES CLIM CHANGE, V2, P45, DOI 10.1002/wcc.81
   Das T, 2013, J HYDROL, V501, P101, DOI 10.1016/j.jhydrol.2013.07.042
   de Wit MJM, 2007, CLIMATIC CHANGE, V82, P351, DOI [10.1007/s 10584-006-9195-2, 10.1007/s10584-006-9195-2]
   Demaria EMC, 2013, J HYDROL, V502, P128, DOI 10.1016/j.jhydrol.2013.08.027
   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, 2013, NAT CLIM CHANGE, V3, P379, DOI [10.1038/nclimate1732, 10.1038/NCLIMATE1732]
   Diffenbaugh NS, 2005, P NATL ACAD SCI USA, V102, P15774, DOI 10.1073/pnas.0506042102
   Easterling DR, 2000, SCIENCE, V289, P2068, DOI 10.1126/science.289.5487.2068
   Ficklin DL, 2013, WATER RESOUR RES, V49, P2765, DOI 10.1002/wrcr.20248
   Ficklin DL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0071297
   Ficklin DL, 2012, J AM WATER RESOUR AS, V48, P1104, DOI 10.1111/j.1752-1688.2012.00675.x
   Ficklin DL, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011256
   Ficklin DL, 2010, ENVIRON POLLUT, V158, P223, DOI 10.1016/j.envpol.2009.07.016
   Ficklin DL, 2009, J HYDROL, V374, P16, DOI 10.1016/j.jhydrol.2009.05.016
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fontaine TA, 2002, J HYDROL, V262, P209, DOI 10.1016/S0022-1694(02)00029-X
   Forzieri G, 2014, HYDROL EARTH SYST SC, V18, P85, DOI 10.5194/hess-18-85-2014
   Fritze H, 2011, J HYDROMETEOROL, V12, P989, DOI 10.1175/2011JHM1360.1
   Gassman P. W., 2007, SOIL WATER ASSESSMEN
   Gedney N, 2006, NATURE, V439, P835, DOI 10.1038/nature04504
   Goode JR, 2013, HYDROL PROCESS, V27, P750, DOI 10.1002/hyp.9728
   Hamlet AF, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR005099
   Hurkmans R, 2010, J CLIMATE, V23, P679, DOI 10.1175/2009JCLI3066.1
   Kao SC, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015529
   Karl T. R., 2009, Global climate change impacts in the United States
   Katz RW, 2002, ADV WATER RESOUR, V25, P1287, DOI 10.1016/S0309-1708(02)00056-8
   Kharin VV, 2007, J CLIMATE, V20, P1419, DOI 10.1175/JCLI4066.1
   Kiernan JD, 2012, ECOL APPL, V22, P1146, DOI 10.1890/11-1047.1
   Konieczki A.D., 2004, 20045148 US GEOL SUR
   MacDonald GM, 2010, P NATL ACAD SCI USA, V107, P21256, DOI 10.1073/pnas.0909651107
   Majone B, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010985
   Mantua N, 2010, CLIMATIC CHANGE, V102, P187, DOI 10.1007/s10584-010-9845-2
   Maurer EP, 2014, B AM METEOROL SOC, V95, P1011, DOI 10.1175/BAMS-D-13-00126.1
   Maurer EP, 2010, HYDROL EARTH SYST SC, V14, P1125, DOI 10.5194/hess-14-1125-2010
   Maurer E.P., 2007, Eos, Transactions, American Geophysical Union, V88, DOI 10.1029/2007EO470006
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Mote PW, 2010, CLIMATIC CHANGE, V102, P29, DOI 10.1007/s10584-010-9848-z
   Moyle PB, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0063883
   Moyle PB, 2011, BIOL CONSERV, V144, P2414, DOI 10.1016/j.biocon.2011.06.002
   Null SE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0009932
   PENMAN H. L., 1956, TRANS AMER GEOPHYS UNION, V37, P43
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Raupach MR, 2007, P NATL ACAD SCI USA, V104, P10288, DOI 10.1073/pnas.0700609104
   Seager R, 2010, P NATL ACAD SCI USA, V107, P21277, DOI 10.1073/pnas.0910856107
   Serrat-Capdevila A, 2013, INT J WATER RESOUR D, V29, P152, DOI 10.1080/07900627.2012.721717
   Sheffield J, 2013, J CLIMATE, V26, P9209, DOI 10.1175/JCLI-D-12-00592.1
   Sheffield J, 2013, J CLIMATE, V26, P9247, DOI 10.1175/JCLI-D-12-00593.1
   Smith JB, 2007, NEW HORIZ ENVIRON EC, P1
   Stewart IT, 2013, CLIMATIC CHANGE, V116, P133, DOI 10.1007/s10584-012-0567-5
   Stewart IT, 2005, J CLIMATE, V18, P1136, DOI 10.1175/JCLI3321.1
   Stocker, 2014, CLIMATE CHANGE 2013
   Sugiyama M, 2010, P NATL ACAD SCI USA, V107, P571, DOI 10.1073/pnas.0903186107
   Tohver I.M., 2014, JAWRA J AM WATER RES
   USDA, 1954, NAT ENG HDB HYDR
   van Vliet MTH, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009198
   Weiss J.L., 2012, SW CLIMATE OUTLOOK, V11, P3
   Wernstedt K., 2001, ENSO REIGNS IT POURS
   Wigley T.M. L., 1988, Climate Monitor, V17, P44, DOI [DOI 10.1007/S10584009-9654-7, 10.1007/s10584 009-9654-7]
   Wood AW, 2004, CLIMATIC CHANGE, V62, P189, DOI 10.1023/B:CLIM.0000013685.99609.9e
   Wood AW, 2002, J GEOPHYS RES-ATMOS, V107, DOI 10.1029/2001JD000659
   Woodhouse CA, 2010, P NATL ACAD SCI USA, V107, P21283, DOI 10.1073/pnas.0911197107
NR 74
TC 26
Z9 31
U1 1
U2 58
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD OCT
PY 2015
VL 529
BP 340
EP 353
DI 10.1016/j.jhydrol.2015.07.043
PN 1
PG 14
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA CV4PK
UT WOS:000364248800027
DA 2025-01-10
ER

PT B
AU Moreau, TL
   Adams, T
   Mullinix, K
   Fallick, A
   Condon, PM
AF Moreau, Tara L.
   Adams, Tegan
   Mullinix, Kent
   Fallick, Arthur
   Condon, Patrick M.
BE Viljoen, A
   Wiskerke, JSC
TI Recommended practices for climate-smart urban and peri-urban agriculture
SO SUSTAINABLE FOOD PLANNING: EVOLVING THEORY AND PRACTICE
LA English
DT Article; Book Chapter
DE agri-food systems; carbon sequestration; greenhouse gas (GHG) emissions;
   Municipally Enabled and Supported Agriculture (MESA)
ID CARBON SEQUESTRATION; SYSTEMS; LANDS
AB Agriculture's reliance on synthetic fertilisers, pesticides and fossil fuels contributes to greenhouse gas (GHG) emissions and climate change in numerous ways - including land-use changes, machinery operations, chemical manufacture, chemical applications, leaching and runoff. In British Columbia, Canada, provincial policies mandate municipalities to reduce GHG emissions by 33% in 2020 and 80% in 2050. To initiate immediate action, over 170 Municipalities have signed the voluntary Climate Action Charter which commits them to becoming carbon neutral by 2012. For cities, moving towards carbon neutrality requires local governments to quantify, reduce and offset GHG emissions from public operations. Given the rise of agriculture within and around cities, the development and support for climate-smart agriculture is crucial to supporting production systems that can simultaneously address food security, emissions reductions and climate change adaption. A collaborative project between planners, landscape architects, local governments, agronomists and academic researchers is working to design 'Low Carbon Communities' by addressing urban issues related to buildings, transportation, energy, waste and food. Food work is being evaluated through an integrative framework for food systems planning within cities called Municipally Enabled and Supported Agriculture (MESA). With a particular focus on Metro Vancouver, the objective of this study in the context of MESA and Low Carbon Communities was to: categorise GHG emissions from agricultural production in the region, recommend climate-smart urban and peri-urban agricultural practices, explore the potential of carbon sequestration in urban and peri-urban agriculture, and identify measurable indicators for climate-smart practices. Key recommendations for implementing MESA are discussed.
C1 [Moreau, Tara L.] Univ British Columbia, Pacific Inst Climate Solut, 2060 Pine St, Vancouver, BC V6J 4P8, Canada.
   [Adams, Tegan] Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V6T 1Z4, Canada.
   [Moreau, Tara L.; Adams, Tegan; Mullinix, Kent; Fallick, Arthur] Kwantlen Polytech Univ, Inst Sustainable Hort, Surrey, BC V3W 2M8, Canada.
   [Condon, Patrick M.] Univ British Columbia, Design Ctr Sustainabil, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia; University of British Columbia;
   University of British Columbia
RP Moreau, TL (corresponding author), Univ British Columbia, Pacific Inst Climate Solut, 2060 Pine St, Vancouver, BC V6J 4P8, Canada.
EM taramoreau@gmail.com
CR [Anonymous], SOIL SCI SOC AM SPEC
   [Anonymous], NATURE NEWS
   Artemis, 2002, EC STRAT AGR LOW MAI
   BC Ministry of Community and Rural Development, 2010, CLIM ACT CHART
   Byrne LB, 2008, ECOSYSTEMS, V11, P1065, DOI 10.1007/s10021-008-9179-3
   Condon PM, 2010, INT J AGR SUSTAIN, V8, P104, DOI 10.3763/ijas.2009.0465
   Eagle A. J., 2010, R1004 NI
   Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002
   Food and Agriculture Organization, 2012, CLIM SMART AGR DEV
   Garnett T., 2008, COOKING STORM FOOD G
   Getter KL, 2009, ENVIRON SCI TECHNOL, V43, P7564, DOI 10.1021/es901539x
   Hamburg S. P., 2000, MITIGATION ADAPTATIO, V5, P25
   Hello BC, 2010, CLIMATE AND WEATHER
   Hutchinson JJ, 2007, AGR FOREST METEOROL, V142, P288, DOI 10.1016/j.agrformet.2006.03.030
   IFPRI (International Food Policy Research Initiative), 2009, AGR CLIM CHANG
   Ipsos Reid Public Affairs, 2008, POLL PUBL OP AGR
   Lal R, 2009, CRIT REV PLANT SCI, V28, P90, DOI 10.1080/07352680902782711
   LiveSmartBC, 2009, BC CLIM ACT PLAN
   MATTHEWS S, 1993, AGROFOREST SYST, V21, P159, DOI 10.1007/BF00705227
   Metro Vancouver, 2007, 2006 CEN B, V2
   Ministry of Environment, 2011, CLIM CHANG BC PROV I
   Morgan JA, 2010, J SOIL WATER CONSERV, V65, p6A, DOI 10.2489/jswc.65.1.6A
   Niggli U., 2008, Low greenhouse gas agriculture: mitigation and adaptation potential of sustainable farming systems
   Niinemets Ü, 2008, TRENDS PLANT SCI, V13, P60, DOI 10.1016/j.tplants.2007.11.009
   Nowak DJ, 2002, ENVIRON POLLUT, V116, P381, DOI 10.1016/S0269-7491(01)00214-7
   Prins G., 2010, HARTWELL PAPER NEW D
   Scialabba NEH, 2010, RENEW AGR FOOD SYST, V25, P158, DOI 10.1017/S1742170510000116
   Smith P, 2007, AR4 CLIMATE CHANGE 2007: MITIGATION OF CLIMATE CHANGE, P497
   Smith WN, 2010, AGR ECOSYST ENVIRON, V136, P301, DOI 10.1016/j.agee.2009.12.008
   Snyder CS, 2009, AGR ECOSYST ENVIRON, V133, P247, DOI 10.1016/j.agee.2009.04.021
   Willey Z., 2007, Harnessing farms and forests in a low-carbon economy
NR 31
TC 6
Z9 6
U1 0
U2 25
PU WAGENINGEN ACAD PUBL
PI WAGENINGEN
PA POSTBUS 220, 6700 AE WAGENINGEN, NETHERLANDS
BN 978-90-8686-826-1; 978-90-8686-187-3
PY 2012
BP 295
EP 306
DI 10.3920/978-90-8686-826-1_25
D2 10.3920/978-8686-826-1
PG 12
WC Agricultural Economics & Policy; Green & Sustainable Science &
   Technology; Regional & Urban Planning
WE Book Citation Index – Social Sciences & Humanities (BKCI-SSH); Book Citation Index – Science (BKCI-S)
SC Agriculture; Science & Technology - Other Topics; Public Administration
GA BK0EB
UT WOS:000430353900026
DA 2025-01-10
ER

PT J
AU Davis, J
   Munksgaard, N
   Hodgetts, J
   Lambrinidis, D
AF Davis, Jenny
   Munksgaard, Niels
   Hodgetts, Jon
   Lambrinidis, Dionisia
TI Identifying groundwater-fed climate refugia in remote arid regions with
   citizen science and isotope hydrology
SO FRESHWATER BIOLOGY
LA English
DT Article
DE biodiversity conservation; climate change adaptation; springs; temporary
   waters; water sources
ID FRESH-WATER BIODIVERSITY; AQUATIC FAUNA; CONSERVATION; DESERT;
   BIOGEOGRAPHY; PATTERNS; THREATS
AB Groundwater and surface water-fed systems act as biodiversity hotspots and ecological refuges and evolutionary refugia in arid regions. Groundwater-dominated systems are sustained by underground aquifers that are recharged by rain that has fallen in the distant past, while surface water-dominated systems are fed by recent local rain or floods. Some waterbodies are fed by a mixture of these sources. Perennial, groundwater-dominated systems will act as refuges and refugia under future rainfall declines associated with global warming. We sought to identify climate refugia, based on groundwater dominance, by using isotope hydrology to characterise water samples collected by citizen scientists across arid central Australia. There is a linear relationship between hydrogen isotopes (H-2/H-1, delta H-2) and oxygen isotopes (O-18/O-16, delta O-18) in rainfall. This relationship is known as the meteoric water line (MWL). By comparing our samples with the Australian MWL, and developing a local evaporation line, we were able to test the hypotheses that groundwater-dominated systems will follow the Australian MWL while temporary systems follow the local evaporation line, and, accordingly, distinguish between groundwater and surface water-dominated systems. The isotopic composition of samples collected over a 36-month period was determined using isotope ratio infrared spectrometry. The electrical conductivity of each sample was recorded to determine where freshwater is available for biota within this arid region. Over 240 water samples were collected from 62 waterbodies and seven bores (groundwater wells) spanning an area of more than 250,000 km(2). Approximately 75% of the samples were collected by citizen scientists and 25% by research scientists. Twenty groundwater-dominated waterbodies, characterised by a small range of delta H-2 and delta O-18 values (c. -55 to -20 parts per thousand andc. -9 to -3 parts per thousand, respectively) clustered around the long-term mean composition of rainfall (delta H-2 = -37.5 parts per thousand, delta O-18 = -6.4 parts per thousand), were identified as future evolutionary refugia. These sites are likely to contain water through the most severe of droughts and will be critically important for the persistence of water-dependent species. Based on their isotopic composition, we identified 45 waterbodies (rockholes/waterholes) as temporary or ephemeral (delta H-2 c. -40 to -100 parts per thousand and delta O-18 c. -4 to +25 parts per thousand), that is, with no evidence of groundwater inflow. These, together with waterbodies supported by a mix of groundwater and surface water, can act asstepping stonesand form part of the aquatic mosaic that is critical to supporting species in arid regions. Over two-thirds of the waterholes sampled were very fresh (electrical conductivity <0.8 mS/cm), indicating that they provide the freshwater needed to support much of the regional aquatic and terrestrial fauna. All evolutionary refugia are located within protected areas (i.e. national parks or Indigenous Protected Areas), but some are subject to the impacts of feral animal species and invasive plants. Our findings indicate where control programmes and restoration actions can be prioritised to support biodiversity conservation and climate change adaptation.
   Our approach, combining citizen science and isotope hydrology, can be used to identify future refugia in other remote and arid regions where water scarcity is likely to increase under global climate change.
C1 [Davis, Jenny; Munksgaard, Niels; Lambrinidis, Dionisia] Charles Darwin Univ, Coll Engn IT & Environm, Res Inst Environm & Livelihoods, Casuarina, NT 0810, Australia.
   [Hodgetts, Jon] Cent Land Council, Alice Springs, NT, Australia.
C3 Charles Darwin University
RP Davis, J (corresponding author), Charles Darwin Univ, Coll Engn IT & Environm, Res Inst Environm & Livelihoods, Casuarina, NT 0810, Australia.
EM Jenny.Davis@cdu.edu.au
FU Territory NRM
FX Territory NRM
CR Bogan MT, 2014, BIODIVERS CONSERV, V23, P2705, DOI 10.1007/s10531-014-0745-z
   Box JB, 2008, J ARID ENVIRON, V72, P1395, DOI 10.1016/j.jaridenv.2008.02.022
   Byrne M, 2008, QUATERNARY SCI REV, V27, P2576, DOI 10.1016/j.quascirev.2008.08.032
   Craig H., 1965, Stable Isotopes in Oceanographic Studies and Paleotemperatures, P9
   Davis JA, 2017, BIOL CONSERV, V211, P30, DOI 10.1016/j.biocon.2016.12.036
   Davis J, 2018, ECOGRAPHY, V41, P375, DOI 10.1111/ecog.02334
   Davis J, 2013, GLOBAL CHANGE BIOL, V19, P1970, DOI 10.1111/gcb.12203
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Duguid A., 2005, Wetlands in the arid Northern Territory. A report to the Australian Government Department of the Environment and Her- itage on the inventory and significance of wetlands in the arid NT.
   Fellman JB, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010275
   Fensham RJ, 2011, BIOL CONSERV, V144, P2459, DOI 10.1016/j.biocon.2011.06.024
   Healy MA, 2015, ITS HOT GETTING HOTT
   Iknayan KJ, 2018, P NATL ACAD SCI USA, V115, P8597, DOI 10.1073/pnas.1805123115
   Kingsford R, 2006, ECOLOGY OF DESERT RIVERS, pXI
   Liu JR, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2010JD014403
   Munksgaard NC, 2011, RAPID COMMUN MASS SP, V25, P3706, DOI 10.1002/rcm.5282
   Murphy AL, 2015, ECOL EVOL, V5, P5252, DOI 10.1002/ece3.1741
   Sheldon F, 2010, MAR FRESHWATER RES, V61, P885, DOI 10.1071/MF09239
   Unmack PJ, 2001, J BIOGEOGR, V28, P1053, DOI 10.1046/j.1365-2699.2001.00615.x
   Zhou LM, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/6/064012
NR 20
TC 8
Z9 8
U1 1
U2 10
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 JAN
PY 2021
VL 66
IS 1
BP 35
EP 43
DI 10.1111/fwb.13601
EA AUG 2020
PG 9
WC Ecology; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA PI5ED
UT WOS:000556508700001
DA 2025-01-10
ER

PT J
AU Zhao, XQ
   Bergland, AO
   Behrman, EL
   Gregory, BD
   Petrov, DA
   Schmidt, PS
AF Zhao, Xiaqing
   Bergland, Alan O.
   Behrman, Emily L.
   Gregory, Brian D.
   Petrov, Dmitri A.
   Schmidt, Paul S.
TI Global Transcriptional Profiling of Diapause and Climatic Adaptation in
   <i>Drosophila melanogaster</i>
SO MOLECULAR BIOLOGY AND EVOLUTION
LA English
DT Article
DE Drosophila melanogaster; diapause; RNAseq; climatic adaptation
ID LIFE-HISTORY TRAITS; AMINO-ACID POLYMORPHISM; LATITUDINAL CLINE; FLESH
   FLY; REPRODUCTIVE DIAPAUSE; NATURAL-POPULATIONS; GENE-EXPRESSION;
   RNA-SEQ; STARVATION RESISTANCE; ARABIDOPSIS-THALIANA
AB Wild populations of the model organism Drosophila melanogaster experience highly heterogeneous environments over broad geographical ranges as well as over seasonal and annual timescales. Diapause is a primary adaptation to environmental heterogeneity, and in D. melanogaster the propensity to enter diapause varies predictably with latitude and season. Here we performed global transcriptomic profiling of naturally occurring variation in diapause expression elicited by short day photoperiod and moderately low temperature in two tissue types associated with neuroendocrine and endocrine signaling, heads, and ovaries. We show that diapause in D. melanogaster is an actively regulated phenotype at the transcriptional level, suggesting that diapause is not a simple physiological or reproductive quiescence. Differentially expressed genes and pathways are highly distinct in heads and ovaries, demonstrating that the diapause response is not uniform throughout the soma and suggesting that it may be comprised of functional modules associated with specific tissues. Genes downregulated in heads of diapausing flies are significantly enriched for clinally varying single nucleotide polymorphism ( SNPs) and seasonally oscillating SNPs, consistent with the hypothesis that diapause is a driving phenotype of climatic adaptation. We also show that chromosome location-based coregulation of gene expression is present in the transcriptional regulation of diapause. Taken together, these results demonstrate that diapause is a complex phenotype actively regulated in multiple tissues, and support the hypothesis that natural variation in diapause propensity underlies adaptation to spatially and temporally varying selective pressures.
C1 [Zhao, Xiaqing; Behrman, Emily L.; Gregory, Brian D.; Schmidt, Paul S.] Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
   [Bergland, Alan O.; Petrov, Dmitri A.] Stanford Univ, Dept Biol, Stanford, CA 94305 USA.
C3 University of Pennsylvania; Stanford University
RP Zhao, XQ (corresponding author), Univ Penn, Dept Biol, Philadelphia, PA 19104 USA.
EM xiaqing@sas.upenn.edu
RI Gregory, Brian/G-2890-2010
OI Schmidt, Paul/0000-0002-8076-6705; Petrov, Dmitri/0000-0002-3664-9130
FU National Science Foundation [DEB 0921307]; National Institute of Health
   [R01 GM100366]
FX We would like to thank Mia Levine for helpful discussion on chromosome
   location-based gene regulation and cell cycle arrest. We would like to
   thank Peter Petraitis for discussion on statistical methods to test for
   spatial autocorrelation. Two anonymous reviewers have offered helpful
   suggestions that improved the quality of the paper. This work was
   supported by a National Science Foundation grant to P.S. (DEB 0921307)
   and a National Institute of Health grant to D.P. and P.S. (R01
   GM100366).
CR Ahmad K, 2002, MOL CELL, V9, P1191, DOI 10.1016/S1097-2765(02)00542-7
   [Anonymous], 1970, OVARIAN DEV DROSOPHI
   Apfeld J, 1998, CELL, V95, P199, DOI 10.1016/S0092-8674(00)81751-1
   Aronesty E, 2013, OPEN BIOINFORMATICS, V7, P1, DOI [10.2174/1875036201307010001, DOI 10.2174/1875036201307010001]
   Azevedo RBR, 1998, EVOLUTION, V52, P1353, DOI [10.2307/2411305, 10.1111/j.1558-5646.1998.tb02017.x]
   Baker DA, 2009, BMC GENOMICS, V10, DOI 10.1186/1471-2164-10-242
   Behrman EL, 2015, J EVOLUTION BIOL, V28, P1691, DOI 10.1111/jeb.12690
   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
   BERRY A, 1993, GENETICS, V134, P869
   BLANCKENHORN WU, 1995, J EVOLUTION BIOL, V8, P21, DOI 10.1046/j.1420-9101.1995.8010021.x
   Böhni R, 1999, CELL, V97, P865, DOI 10.1016/S0092-8674(00)80799-0
   Boutanaev AM, 2002, NATURE, V420, P666, DOI 10.1038/nature01216
   Brown CR, 2013, J EVOLUTION BIOL, V26, P1129, DOI 10.1111/jeb.12130
   CAPY P, 1993, GENET SEL EVOL, V25, P517, DOI 10.1051/gse:19930602
   Clancy DJ, 2001, SCIENCE, V292, P104, DOI 10.1126/science.1057991
   Clapham DH, 1998, PHYSIOL PLANTARUM, V102, P71, DOI 10.1034/j.1399-3054.1998.1020110.x
   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
   Craig TL, 2000, GENE, V255, P381, DOI 10.1016/S0378-1119(00)00307-3
   DAVID JR, 1988, TRENDS GENET, V4, P106, DOI 10.1016/0168-9525(88)90098-4
   Denlinger DL, 2002, ANNU REV ENTOMOL, V47, P93, DOI 10.1146/annurev.ento.47.091201.145137
   Elliott R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0075346
   Fabian DK, 2015, J EVOLUTION BIOL, V28, P826, DOI 10.1111/jeb.12607
   Fabian DK, 2012, MOL ECOL, V21, P4748, DOI 10.1111/j.1365-294X.2012.05731.x
   Flannagan RD, 1998, P NATL ACAD SCI USA, V95, P5616, DOI 10.1073/pnas.95.10.5616
   Flatt T, 2013, Q REV BIOL, V88, P185, DOI 10.1086/671484
   Folguera G, 2008, BIOL J LINN SOC, V95, P233, DOI 10.1111/j.1095-8312.2008.01053.x
   Frydenberg J, 2003, MOL ECOL, V12, P2025, DOI 10.1046/j.1365-294X.2002.01882.x
   García-Gil MR, 2003, MOL ECOL, V12, P1195, DOI 10.1046/j.1365-294X.2003.01826.x
   Giannakou ME, 2004, SCIENCE, V305, P361, DOI 10.1126/science.1098219
   Goenaga J, 2013, EVOL BIOL, V40, P601, DOI 10.1007/s11692-013-9235-6
   Grant PR, 2002, SCIENCE, V296, P707, DOI 10.1126/science.1070315
   Grönke S, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1000857
   HAIRSTON NG, 1990, EVOLUTION, V44, P1796, DOI 10.1111/j.1558-5646.1990.tb05250.x
   HENRICH VC, 1982, J INSECT PHYSIOL, V28, P881, DOI 10.1016/0022-1910(82)90102-0
   Hoffmann AA, 2002, ECOL LETT, V5, P614, DOI 10.1046/j.1461-0248.2002.00367.x
   Hsu HJ, 2008, DEV BIOL, V313, P700, DOI 10.1016/j.ydbio.2007.11.006
   Huey RB, 2000, SCIENCE, V287, P308, DOI 10.1126/science.287.5451.308
   Hwangbo DS, 2004, NATURE, V429, P562, DOI 10.1038/nature02549
   James AC, 1997, GENETICS, V146, P881
   Kalmykova AI, 2005, NUCLEIC ACIDS RES, V33, P1435, DOI 10.1093/nar/gki281
   Kao JY, 2015, MOL ECOL, V24, P1499, DOI 10.1111/mec.13137
   Kapun M, 2014, MOL ECOL, V23, P1813, DOI 10.1111/mec.12594
   Karan D, 1998, EVOLUTION, V52, P825, DOI 10.1111/j.1558-5646.1998.tb03706.x
   Kimura KD, 1997, SCIENCE, V277, P942, DOI 10.1126/science.277.5328.942
   King EG, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004322
   KNIBB WR, 1982, GENETICA, V58, P213, DOI 10.1007/BF00128015
   Korves TM, 2007, AM NAT, V169, pE141, DOI 10.1086/513111
   Kubrak OI, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0113051
   LaFever L, 2005, SCIENCE, V309, P1071, DOI 10.1126/science.1111410
   Lee KS, 2008, NAT CELL BIOL, V10, P468, DOI 10.1038/ncb1710
   Lee SF, 2013, MOL ECOL, V22, P2716, DOI 10.1111/mec.12301
   Leng N, 2013, BIOINFORMATICS, V29, P2073, DOI 10.1093/bioinformatics/btt337
   Levine MT, 2011, MOL BIOL EVOL, V28, P249, DOI 10.1093/molbev/msq197
   Li B, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-323
   Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
   LIU X, 1988, GENE DEV, V2, P228, DOI 10.1101/gad.2.2.228
   Loeschcke V, 2000, HEREDITY, V85, P423, DOI 10.1046/j.1365-2540.2000.00766.x
   Martin M., 2011, EMBnetJ, V17, P10, DOI DOI 10.14806/EJ.17.1.200
   McKechnie SW, 2010, MOL ECOL, V19, P775, DOI 10.1111/j.1365-294X.2009.04509.x
   Meuti ME, 2013, INTEGR COMP BIOL, V53, P131, DOI 10.1093/icb/ict023
   Michalak P, 2008, GENOMICS, V91, P243, DOI 10.1016/j.ygeno.2007.11.002
   Mitrovski P, 2001, P ROY SOC B-BIOL SCI, V268, P2163, DOI 10.1098/rspb.2001.1787
   MORAN PAP, 1950, BIOMETRIKA, V37, P17, DOI 10.2307/2332142
   Neumüller RA, 2011, CELL STEM CELL, V8, P580, DOI 10.1016/j.stem.2011.02.022
   Oku K, 2003, APPL ENTOMOL ZOOL, V38, P267, DOI 10.1303/aez.2003.267
   Oliver Brian, 2002, J Biol, V1, P4
   OSLEY MA, 1991, ANNU REV BIOCHEM, V60, P827, DOI 10.1146/annurev.biochem.60.1.827
   Paaby AB, 2014, EVOLUTION, V68, P3395, DOI 10.1111/evo.12546
   Paaby AB, 2010, MOL ECOL, V19, P760, DOI 10.1111/j.1365-294X.2009.04508.x
   2004, BIOINFORMATICS, V20, P289, DOI DOI 10.1093/BIOINFORMATICS/BTG412
   Pegoraro M, 2014, PLOS GENET, V10, DOI 10.1371/journal.pgen.1004603
   Plautz JD, 1997, SCIENCE, V278, P1632, DOI 10.1126/science.278.5343.1632
   Poelchau MF, 2013, J EXP BIOL, V216, P4082, DOI 10.1242/jeb.089508
   Poelchau MF, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.0143
   Pool JE, 2012, PLOS GENET, V8, DOI 10.1371/journal.pgen.1003080
   Quijano C, 2008, GENOME BIOL, V9, DOI 10.1186/gb-2008-9-12-r176
   Ragland GJ, 2010, P NATL ACAD SCI USA, V107, P14909, DOI 10.1073/pnas.1007075107
   Rajpurohit S, 2008, INSECT SCI, V15, P553, DOI 10.1111/j.1744-7917.2008.00245.x
   Rajpurohit Subhash, 2008, Entomological Research, V38, P49, DOI 10.1111/j.1748-5967.2008.00129.x
   Rajpurohit S, 2013, J THERM BIOL, V38, P345, DOI 10.1016/j.jtherbio.2013.04.004
   Reinhardt JA, 2014, GENETICS, V197, P361, DOI 10.1534/genetics.114.161463
   Reynolds JA, 2013, INSECT BIOCHEM MOLEC, V43, P982, DOI 10.1016/j.ibmb.2013.07.005
   Richard DS, 1998, J INSECT PHYSIOL, V44, P637, DOI 10.1016/S0022-1910(98)00020-1
   Roberts A, 2011, GENOME MED, V3, DOI 10.1186/gm290
   Robinson SJW, 2000, EVOLUTION, V54, P1819, DOI 10.1111/j.0014-3820.2000.tb00726.x
   ROCKEY SJ, 1989, J INSECT PHYSIOL, V35, P553, DOI 10.1016/0022-1910(89)90143-1
   Saunders DS, 2013, J INSECT PHYSIOL, V59, P1, DOI 10.1016/j.jinsphys.2012.11.003
   SAUNDERS DS, 1987, PHYSIOL ENTOMOL, V12, P331, DOI 10.1111/j.1365-3032.1987.tb00758.x
   SAUNDERS DS, 1990, J INSECT PHYSIOL, V36, P195, DOI 10.1016/0022-1910(90)90122-V
   SAUNDERS DS, 1989, P NATL ACAD SCI USA, V86, P3748, DOI 10.1073/pnas.86.10.3748
   Schmidt PS, 2008, P NATL ACAD SCI USA, V105, P16207, DOI 10.1073/pnas.0805485105
   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, 2011, MECHANISMS OF LIFE HISTORY EVOLUTION: THE GENETICS AND PHYSIOLOGY OF LIFE HISTORY TRAITS AND TRADE-OFFS, P230
   Schmidt PS, 2005, EVOLUTION, V59, P2616, DOI 10.1111/j.0014-3820.2005.tb00974.x
   Schmidt PS, 2005, EVOLUTION, V59, P1721, DOI 10.1111/j.0014-3820.2005.tb01821.x
   Sezgin E, 2004, GENETICS, V168, P923, DOI 10.1534/genetics.104.027649
   Sim C, 2008, P NATL ACAD SCI USA, V105, P6777, DOI 10.1073/pnas.0802067105
   Sim C, 2015, P NATL ACAD SCI USA, V112, P3811, DOI 10.1073/pnas.1502751112
   Sim C, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00189
   Spellman Paul T, 2002, J Biol, V1, P5, DOI 10.1186/1475-4924-1-5
   Stinchcombe JR, 2004, P NATL ACAD SCI USA, V101, P4712, DOI 10.1073/pnas.0306401101
   Tarwater CE, 2013, P NATL ACAD SCI USA, V110, P15365, DOI 10.1073/pnas.1303821110
   Tatar M, 2001, SCIENCE, V292, P107, DOI 10.1126/science.1057987
   Tatar M, 2001, AM NAT, V158, P248, DOI 10.1086/321320
   Tatar M, 2001, EXP GERONTOL, V36, P723, DOI 10.1016/S0531-5565(00)00238-2
   Tauber E, 2007, SCIENCE, V316, P1895, DOI 10.1126/science.1138412
   Tauber M.J., 1986, SEASONAL ADAPTATIONS
   Turner TL, 2008, GENETICS, V179, P455, DOI 10.1534/genetics.107.083659
   Umina PA, 2005, SCIENCE, V308, P691, DOI 10.1126/science.1109523
   Verrelli BC, 2001, GENETICS, V157, P1649
   Williams KD, 2006, P NATL ACAD SCI USA, V103, P15911, DOI 10.1073/pnas.0604592103
   WILLIAMS KD, 1993, HEREDITY, V71, P312, DOI 10.1038/hdy.1993.141
   Wullschleger S, 2006, CELL, V127, P5
   Yamamoto R, 2013, BMC BIOL, V11, DOI 10.1186/1741-7007-11-85
   Yocum GD, 2015, PHYSIOL ENTOMOL, V40, P103, DOI 10.1111/phen.12093
   Young MD, 2010, GENOME BIOL, V11, DOI 10.1186/gb-2010-11-2-r14
   Zhang QZ, 2008, P NATL ACAD SCI USA, V105, P21028, DOI 10.1073/pnas.0810585105
NR 121
TC 34
Z9 39
U1 0
U2 48
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 MAR
PY 2016
VL 33
IS 3
BP 707
EP 720
DI 10.1093/molbev/msv263
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 DF3BU
UT WOS:000371219500009
PM 26568616
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Ruiz-Aracil, MC
   Valverde, JM
   Beltrà, A
   Lorente-Mento, JM
   Carriòn-Antolí, A
   Valero, D
   Guillén, F
AF Ruiz-Aracil, M. C.
   Valverde, J. M.
   Beltra, A.
   Lorente-Mento, J. M.
   Carrion-Antoli, A.
   Valero, D.
   Guillen, F.
TI Enhancing sweet cherry resilience to spring frost and rain-induced
   cracking with pre-harvest melatonin treatments
SO CURRENT PLANT BIOLOGY
LA English
DT Article
DE Climate change; Quality; Harvest; Flower buds; Fruit-set
ID FRUIT-QUALITY; BIOACTIVE COMPOUNDS; ABSCISIC-ACID; SET; HARVEST; DAMAGE;
   YIELD
AB Sweet cherry producers annually confront climatic challenges such as spring frost and fruit cracking. This vulnerability arises primarily from spring frost during bloom or cracking at critical maturity stages during persistent rainfall. With changing climate patterns, innovative strategies are essential to mitigate these adversities. Foliar applications of melatonin (MT) at 0, 0.01, 0.05 and 0.1 mM were tested on the 'Prime Giant' and 'Sweetheart' cultivars over four different production cycles (2020-2023) to evaluate the effect on frost resilience on flower buds and fruit cracking reduction. MT-treated flower buds showed reduced malondialdehyde content and increased fruit set in most seasons, reducing their vulnerability to extreme weather events. In addition, MT consistently decreased sweet cherry cracking incidence across all studied seasons, indicating a strong effect between the fruit ripening stage and susceptibility to fruit cracking, which was cultivar dependent. Quality parameters at harvest, including fruit firmness, and colour at harvest, were either delayed or unaffected in MT-treated fruits compared with controls. However, other ripening parameters were stimulated by pre-harvest MT applications in several growing cycles, such as total soluble solids, which slightly reduced total acidity in MT-treated fruits. In summary, pre-harvest MT treatments can be a promising strategy for climate change adaptation and stress mitigation, potentially increasing sweet cherry production under extreme weather conditions.
C1 [Ruiz-Aracil, M. C.; Valverde, J. M.; Lorente-Mento, J. M.; Carrion-Antoli, A.; Valero, D.; Guillen, F.] Univ Miguel Hernandez, CIAGRO, Postharvest Res Grp Fruit & Vegetables, Ctra Beniel Km 3-2, Orihuela 03312, Spain.
   [Beltra, A.] Mas de Roc Cooperat Valenciana, Partida Canal Alta 5, Alcoy 03801, Spain.
C3 Universidad Miguel Hernandez de Elche
RP Guillén, F (corresponding author), Univ Miguel Hernandez, CIAGRO, Postharvest Res Grp Fruit & Vegetables, Ctra Beniel Km 3-2, Orihuela 03312, Spain.
RI Valero, Daniel/H-7757-2012; Valverde Veracruz, Juan Miguel/AAC-6891-2019
FU (Generalitat Valenciana) through the Prometeo Program
   [PROMETEO/2021/089]
FX This research was funded by the Centro para el Desarrollo Tecnologico
   Industrial (CDTI) of the Ministry of Industry under project number
   IDI-20200835 (2020-2022) . In 2023, this research was funded by
   Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital
   (Generalitat Valenciana) through the Prometeo Program
   (PROMETEO/2021/089) .r (Generalitat Valenciana) through the Prometeo
   Program (PROMETEO/2021/089) .
CR Alhamid JO, 2018, BIOSYST ENG, V172, P124, DOI 10.1016/j.biosystemseng.2018.06.006
   Arnao MB, 2021, PLANT BIOLOGY, V23, P7, DOI 10.1111/plb.13202
   Balbontín C, 2018, CHIL J AGR RES, V78, P438, DOI 10.4067/S0718-58392018000300438
   Beppu K, 2011, J JPN SOC HORTIC SCI, V80, P1, DOI 10.2503/jjshs1.80.1
   Blanco V, 2019, SCI HORTIC-AMSTERDAM, V251, P108, DOI 10.1016/j.scienta.2019.02.023
   Blazek J, 2022, HORTIC SCI, V49, P121, DOI 10.17221/70/2021-HORTSCI
   Bound SA, 2014, ACTA HORTIC, V1042, P285, DOI 10.17660/ActaHortic.2014.1042.34
   Bustamante M, 2021, PLANTS-BASEL, V10, DOI 10.3390/plants10122778
   Carrión-Antolí A, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.863467
   Carrion-Antoli A, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12010003
   Chen CW, 2024, INT J BIOL MACROMOL, V268, DOI 10.1016/j.ijbiomac.2024.131660
   Chmielewski FM, 2018, INT J BIOMETEOROL, V62, P217, DOI 10.1007/s00484-017-1443-9
   Christensen J.V., 2006, CHERRIES CROP PHYSL, P297
   Correia S, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9040410
   Correia S, 2018, SCI HORTIC-AMSTERDAM, V240, P369, DOI 10.1016/j.scienta.2018.06.042
   Cortes-Montana D, 2024, J SCI FOOD AGR, V104, P1583, DOI 10.1002/jsfa.13040
   Cortés-Montana D, 2023, FOODS, V12, DOI 10.3390/foods12081723
   Demirsoy LK, 1998, ACTA HORTIC, P657, DOI 10.17660/ActaHortic.1998.468.82
   Drogoudi P, 2021, FRONT PLANT SCI, V12, DOI 10.3389/fpls.2021.645547
   Faizy AH, 2021, J FOOD PROCESS PRES, V45, DOI 10.1111/jfpp.15882
   Feng XY, 2014, TRENDS FOOD SCI TECH, V37, P21, DOI 10.1016/j.tifs.2014.02.001
   Fernandez E, 2023, REG ENVIRON CHANGE, V23, DOI 10.1007/s10113-022-02006-x
   Garcia-Montiel F, 2010, SPAN J AGRIC RES, V8, P1118
   García-Pastor ME, 2020, AGRONOMY-BASEL, V10, DOI 10.3390/agronomy10101522
   García-Pastor ME, 2020, J SCI FOOD AGR, V100, P145, DOI 10.1002/jsfa.10007
   García-Pastor ME, 2019, SCI HORTIC-AMSTERDAM, V247, P380, DOI 10.1016/j.scienta.2018.12.043
   Giné-Bordonaba J, 2017, PLANT PHYSIOL BIOCH, V111, P216, DOI 10.1016/j.plaphy.2016.12.002
   Gonçalves B, 2023, FOODS, V12, DOI 10.3390/foods12030543
   Holusová K, 2024, SCI HORTIC-AMSTERDAM, V332, DOI 10.1016/j.scienta.2024.113226
   Horvitz S, 2003, ACTA HORTIC, P311, DOI 10.17660/ActaHortic.2003.628.37
   Knoche M, 2006, J AM SOC HORTIC SCI, V131, P192, DOI 10.21273/JASHS.131.2.192
   Looney N.E., 1986, Good Fruit. Grow., V36, P7
   Lorente-Mento JM, 2021, ANTIOXIDANTS-BASEL, V10, DOI 10.3390/antiox10060820
   Manzoor MA, 2024, J ENVIRON MANAGE, V357, DOI 10.1016/j.jenvman.2024.120759
   Medina-Santamarina J, 2022, FOODS, V11, DOI 10.3390/foods11182784
   Michailidis M, 2021, FRONT NUTR, V8, DOI 10.3389/fnut.2021.695061
   Moradi S, 2022, SCI HORTIC-AMSTERDAM, V304, DOI 10.1016/j.scienta.2022.111257
   Muhammad I, 2021, FRONT PLANT SCI, V11, DOI 10.3389/fpls.2020.615942
   Mumithrakamatchi AK, 2024, FRONT PLANT SCI, V15, DOI 10.3389/fpls.2024.1382914
   Palacios-Peralta C, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12010050
   Pereira S, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9111557
   Pino S, 2023, HORTICULTURAE, V9, DOI 10.3390/horticulturae9010109
   Rodrigo J, 2000, SCI HORTIC-AMSTERDAM, V85, P155, DOI 10.1016/S0304-4238(99)00150-8
   Rombolà AD, 2023, HORTIC ENVIRON BIOTE, V64, P371, DOI 10.1007/s13580-022-00486-8
   Ruiz-Aracil MC, 2024, AGRONOMY-BASEL, V14, DOI 10.3390/agronomy14010023
   Ruiz-Aracil MC, 2023, AGRICULTURE-BASEL, V13, DOI 10.3390/agriculture13061244
   Rutkowski K, 2022, APPL SCI-BASEL, V12, DOI 10.3390/app12031280
   Sabir IA, 2021, HORTSCIENCE, V56, P922, DOI 10.21273/HORTSCI15835-21
   Sachdev S, 2021, ANTIOXIDANTS-BASEL, V10, DOI 10.3390/antiox10020277
   Sharma P, 2024, SCI HORTIC-AMSTERDAM, V323, DOI 10.1016/j.scienta.2023.112421
   SHEWFELT RL, 1995, HORTSCIENCE, V30, P213
   Sun QQ, 2015, J EXP BOT, V66, P657, DOI 10.1093/jxb/eru332
   Tan DX, 2015, MOLECULES, V20, P18886, DOI 10.3390/molecules201018886
   Tijero V, 2019, PLANT PHYSIOL BIOCH, V140, P88, DOI 10.1016/j.plaphy.2019.05.007
   Tudela V, 2023, NAT HAZARDS, V115, P163, DOI 10.1007/s11069-022-05549-8
   Usanmaz S., 2022, Acta Horticulturae, P63, DOI 10.17660/ActaHortic.2022.1349.10
   Usenik V, 2005, FOOD CHEM, V90, P663, DOI 10.1016/j.foodchem.2004.04.027
   Varaldo Alice, 2023, Italus Hortus, V30, P25, DOI 10.26353/j.itahort/2023.3.2536
   Winkler A, 2020, SCI HORTIC-AMSTERDAM, V269, DOI 10.1016/j.scienta.2020.109400
   Xu H, 2023, PLANTS-BASEL, V12, DOI 10.3390/plants12030468
   Yamaguchi M, 2002, J JPN SOC HORTIC SCI, V71, P738, DOI 10.2503/jjshs.71.738
   Yuri J. A., 2023, Advances in Horticultural Science, V37, P427432, DOI 10.36253/ahsc-13659
   Zago M., 2005, Laimburg Journal, V2, P58
   Zhai R, 2018, POSTHARVEST BIOL TEC, V139, P38, DOI 10.1016/j.postharvbio.2018.01.017
   Zhang C, 2020, J HORTIC SCI BIOTECH, V95, P746, DOI 10.1080/14620316.2020.1748525
   Zhang J, 2017, ENVIRON EXP BOT, V138, P36, DOI 10.1016/j.envexpbot.2017.02.012
   Zhou JF, 2016, COMPUT ELECTRON AGR, V124, P161, DOI 10.1016/j.compag.2016.04.006
NR 67
TC 0
Z9 0
U1 3
U2 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2214-6628
J9 CURR PLANT BIOL
JI Curr. Plant Biol.
PD DEC
PY 2024
VL 40
AR 100388
DI 10.1016/j.cpb.2024.100388
PG 11
WC Plant Sciences
WE Emerging Sources Citation Index (ESCI)
SC Plant Sciences
GA I3Q2O
UT WOS:001329429400001
OA gold
DA 2025-01-10
ER

PT J
AU Xing, RF
   Chen, ZF
   Hao, J
   Liu, WB
   Ju, Q
   Zhang, DW
   Xu, SQ
   Wang, HM
AF Xing, Ruofei
   Chen, Zefeng
   Hao, Jie
   Liu, Wenbin
   Ju, Qin
   Zhang, Dawei
   Xu, Shiqin
   Wang, Huimin
TI Temporal variation in river ice phenology of the Heilongjiang River in
   response to climate change
SO JOURNAL OF HYDROLOGY-REGIONAL STUDIES
LA English
DT Article
DE River ice phenology; Climate change; Temporal dynamic; Observation
   -based analysis
ID VARIABILITY; THICKNESS; TRENDS; FUTURE; LAKE; TEMPERATURE; HYDROLOGY;
   BREAKUP; DATES
AB Study region: Upstream of the Heilongjiang River, located in Northeast Asia, is the transboundary river between China and Russia. Study focus: Using long-term hydrological records provided by the Mohe station in combination with multiple statistical approaches, we investigate how river ice phenology of the Heilongjiang River has varied during the period 1957-2016, and quantitatively assess the individual contribution of changes in different climatic factors to such variation in river ice phenology. New insights for the region: We show the later occurrence for newly formed ice date, ice-on date, and freeze-up date and the earlier occurrence for beak-up date and ice-off date, ultimately leading to a decrease in persistence of river ice in the Heilongjiang River. River ice phenology exhibits a general lag response to climate change, with ranging from 1 to 5 months. Further attribution analysis that explicitly considers time-lag effect suggests that climate change plays a dominant role in regulating river ice phenology. More specifically, compared to other climatic factors, air pressure and maximum and minimum temperature changes have larger contributions to variation in river ice phenology, particularly for the delay of formation time. These findings provide technical basis and beneficial reference to the development of regional river management strategies involved in climate change adaptation framework.
C1 [Xing, Ruofei; Chen, Zefeng; Ju, Qin; Wang, Huimin] Hohai Univ, Natl Key Lab Water Disaster Prevent, 1 Xikang Rd, Nanjing 210098, Peoples R China.
   [Xing, Ruofei; Wang, Huimin] Hohai Univ, Business Sch, Nanjing, Peoples R China.
   [Hao, Jie] Nanjing Hydraul Res Inst, Nanjing, Peoples R China.
   [Liu, Wenbin] Songliao River Water Resources Commiss Minist Wate, Changchun, Peoples R China.
   [Zhang, Dawei] China Inst Water Resources & Hydropower Res, Beijing, Peoples R China.
   [Xu, Shiqin] King Abdullah Univ Sci & Technol, Div Biol & Environm Sci & Engn, Hydrol Agr & Land Observat HALO Lab, Thuwal, Saudi Arabia.
C3 Hohai University; Hohai University; Nanjing Hydraulic Research
   Institute; China Institute of Water Resources & Hydropower Research;
   King Abdullah University of Science & Technology
RP Xing, RF (corresponding author), Hohai Univ, Natl Key Lab Water Disaster Prevent, 1 Xikang Rd, Nanjing 210098, Peoples R China.
EM xing_ruofei@163.com
RI wang, huimin/AAB-7888-2022; Zhang, Dawei/R-8835-2019
FU Hohai University [423283]; National Natural Science Foundation of China
   [U2240217, 52179013, 42371092]; IWHR Research & Development Support
   Program [WH0145B022021, JZ110145B0022023]; Belt and Road Special
   Foundation of the National Key Laboratory of Water Disaster Prevention
   [2020490711]
FX This work was supported by the Support postdoctoral research initiation
   funding of Hohai University (Grant No. 423283); the National Natural
   Science Foundation of China (Grant No. U2240217, 52179013, 42371092);
   the IWHR Research & Development Support Program (Grant No.
   WH0145B022021, JZ110145B0022023) and the Belt and Road Special
   Foundation of the National Key Laboratory of Water Disaster Prevention
   (Grant No. 2020490711) .
CR Anderegg WRL, 2015, SCIENCE, V349, P528, DOI 10.1126/science.aab1833
   Beltaos S, 2009, HYDROL PROCESS, V23, P122, DOI 10.1002/hyp.7165
   Bonsal BR, 2003, CLIMATIC CHANGE, V57, P341, DOI 10.1023/A:1022810531237
   Burrell BC, 2023, INT J RIVER BASIN MA, V21, P421, DOI 10.1080/15715124.2021.2007936
   Chen ZF, 2023, GLOBAL CHANGE BIOL, V29, P1628, DOI 10.1111/gcb.16561
   Chen ZF, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-57910-1
   Forzieri G, 2020, NAT CLIM CHANGE, V10, P356, DOI 10.1038/s41558-020-0717-0
   [高庆九 Gao Qingjiu], 2012, [大气科学学报, Transactions of Atmospheric Sciences], V35, P448
   Gocic M, 2013, GLOBAL PLANET CHANGE, V100, P172, DOI 10.1016/j.gloplacha.2012.10.014
   Gong DY, 2004, INT J CLIMATOL, V24, P131, DOI 10.1002/joc.1006
   Graf R, 2022, RESOURCES-BASEL, V11, DOI 10.3390/resources11020012
   Graf R, 2020, WATER-SUI, V12, DOI 10.3390/w12123494
   Hampton SE, 2017, ECOL LETT, V20, P98, DOI 10.1111/ele.12699
   Helama S, 2013, J GEOGR SCI, V23, P1069, DOI 10.1007/s11442-013-1063-1
   Hodgkins GA, 2005, CLIMATIC CHANGE, V71, P319, DOI 10.1007/s10584-005-5926-z
   Kämäri M, 2017, COLD REG SCI TECHNOL, V137, P17, DOI 10.1016/j.coldregions.2017.01.009
   Knoll LB, 2019, LIMNOL OCEANOGR LETT, V4, P119, DOI 10.1002/lol2.10116
   Kraaijenbrink PDA, 2021, NAT CLIM CHANGE, V11, P591, DOI 10.1038/s41558-021-01074-x
   Liu XF, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/950262
   Loader NJ, 2011, J QUATERNARY SCI, V26, P566, DOI 10.1002/jqs.1528
   [Ma Jian 马健], 2021, [应用概率统计, Chinese Journal of Applied Probability and Statistics], V37, P405
   Ma Jian, 2011, Tsinghua Science and Technology, V16, P51, DOI 10.1016/S1007-0214(11)70008-6
   Ma XY, 2002, HYDROL PROCESS, V16, P2131, DOI 10.1002/hyp.1146
   Marszelewski W, 2019, WATER RESOUR MANAG, V33, P5107, DOI 10.1007/s11269-019-02417-2
   Min SK, 2004, J METEOROL SOC JPN, V82, P1187, DOI 10.2151/jmsj.2004.1187
   Morales-Marín LA, 2019, ENVIRON MODELL SOFTW, V114, P49, DOI 10.1016/j.envsoft.2019.01.009
   Newton AMW, 2021, CRYOSPHERE, V15, P2211, DOI 10.5194/tc-15-2211-2021
   Owusu-Amponsah NY, 2023, PHYS GEOGR, V44, P581, DOI 10.1080/02723646.2022.2136594
   Park H, 2016, J CLIMATE, V29, P1733, DOI 10.1175/JCLI-D-15-0569.1
   Patrician PA, 2002, RES NURS HEALTH, V25, P76, DOI 10.1002/nur.10015
   Podkowa A, 2023, WATER RESOUR RES, V59, DOI 10.1029/2022WR031939
   Prowse TD, 2007, ANN GLACIOL-SER, V46, P443, DOI 10.3189/172756407782871431
   Prowse TD, 2002, HYDROL PROCESS, V16, P805, DOI 10.1002/hyp.369
   Prowse T, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044878
   Roccaforte JP, 2018, FOREST ECOL MANAG, V428, P20, DOI 10.1016/j.foreco.2018.06.012
   Rokaya P, 2019, HYDROLOG SCI J, V64, P1265, DOI 10.1080/02626667.2019.1638927
   Rokaya P, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24057-z
   Sagarin R, 2001, SCIENCE, V294, P811, DOI 10.1126/science.1064218
   Sarauskiene Diana, 2008, Environmental Research, Engineering and Management, V46, P13
   Sharma S, 2016, SCI REP-UK, V6, DOI [10.1038/srep39100, 10.1038/srep25061]
   Shen HT, 2010, COLD REG SCI TECHNOL, V62, P3, DOI 10.1016/j.coldregions.2010.02.007
   Shiklomanov AI, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/035008
   Smith LC, 2000, PHYS GEOGR, V21, P46, DOI 10.1080/02723646.2000.10642698
   Takács K, 2013, QUATERN INT, V293, P275, DOI 10.1016/j.quaint.2012.12.010
   Takács K, 2018, EARTH SYST SCI DATA, V10, P391, DOI 10.5194/essd-10-391-2018
   Takács K, 2015, J HYDROL, V529, P1890, DOI 10.1016/j.jhydrol.2015.01.040
   Takahashi H, 2016, CLIM DYNAM, V47, P3673, DOI 10.1007/s00382-016-3035-5
   Turcotte B, 2017, WATER-SUI, V9, DOI 10.3390/w9050337
   Vuglinsky S., 2006, Mod. Probl. Hydrometeorol., P229
   Wang D, 2023, URBAN CLIM, V47, DOI 10.1016/j.uclim.2022.101379
   Wang HJ, 2009, ADV ATMOS SCI, V26, P701, DOI 10.1007/s00376-009-9035-1
   Wang SH, 2020, SCIENCE, V370, P1295, DOI 10.1126/science.abb7772
   Wu DH, 2015, GLOBAL CHANGE BIOL, V21, P3520, DOI 10.1111/gcb.12945
   Xing RF, 2021, HYDROL RES, V52, P1261, DOI 10.2166/nh.2021.055
   [闫宝伟 Yan Baowei], 2012, [数学的实践与认识, Mathematics in Practice and Theory], V42, P85
   Yang DQ, 2014, POLAR SCI, V8, P232, DOI 10.1016/j.polar.2014.05.001
   Yang HB, 2015, THEOR APPL CLIMATOL, V120, P773, DOI 10.1007/s00704-014-1208-x
   Yang Q, 2020, CRYOSPHERE, V14, P3581, DOI 10.5194/tc-14-3581-2020
   Yang RM, 2022, ADV CLIM CHANG RES, V13, P623, DOI 10.1016/j.accre.2022.08.001
   Yang X, 2020, NATURE, V577, P69, DOI 10.1038/s41586-019-1848-1
   Yu YR, 2021, IEEE J-STARS, V14, P1783, DOI 10.1109/JSTARS.2020.3048823
   [翟盘茂 Zhai Panmao], 2021, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V17, P629
   Zhang M., 2023, J. Meteorol. Environ., V39, P95
NR 63
TC 0
Z9 0
U1 15
U2 15
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 AUG
PY 2024
VL 54
AR 101868
DI 10.1016/j.ejrh.2024.101868
PG 16
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Water Resources
GA XJ1R1
UT WOS:001261229800001
OA gold
DA 2025-01-10
ER

PT J
AU Freihardt, J
AF Freihardt, Jan
TI Perceptions of environmental changes among a climate-vulnerable
   population from Bangladesh
SO CLIMATIC CHANGE
LA English
DT Article
DE Environmental perceptions; Riverbank erosion; Climate change literacy;
   Survey data; Satellite imagery; Bangladesh
ID VARIABILITY; ADAPTATION; BELIEFS; HAZARDS; WEATHER
AB Effective climate change adaptation requires a thorough understanding of whether and how affected populations perceive climatic and environmental changes. Existing research has been inconclusive regarding the consistency of these perceptions compared to objective meteorological indicators. Moreover, no systematic comparison has been done for the perception of discrete environmental events such as floods or erosion. This study relies on novel panel survey data of approximately 1700 households residing along the Jamuna River in Bangladesh as well as on unique individual-level, satellite-based erosion data. It compares respondents' perceptions of environmental events, namely riverbank erosion, and three climate change indicators, specifically long-term temperature change and changes in precipitation during wet and dry seasons, to objective measurements using satellite imagery and climatic time-series data (CRU TS). I find that long-term temperature change is perceived more accurately than long-term changes in precipitation. Given that educational attainment and climate change literacy among the study population are low, this indicates that global temperature increases are felt even by remote populations who have never heard the term climate change. Erosion is strongly overestimated, especially by those respondents who had been personally affected by it. Since human behavior is guided by perceptions rather than objective data, this has important policy implications, underlining the importance of considering people's perceptions if the goal is to assist them in adapting to environmental changes.
C1 [Freihardt, Jan] Swiss Fed Inst Technol, Ctr Comparat & Int Studies CIS, CH-8092 Zurich, Switzerland.
C3 Swiss Federal Institutes of Technology Domain; ETH Zurich
RP Freihardt, J (corresponding author), Swiss Fed Inst Technol, Ctr Comparat & Int Studies CIS, CH-8092 Zurich, Switzerland.
EM jan.freihardt@ir.gess.ethz.ch
OI Freihardt, Jan/0000-0003-2096-0335
FU Schweizerischer Nationalfonds zur Frderung der Wissenschaftlichen
   Forschung
FX No Statement Available
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Afifi T., 2016, Migration and Development, V5, P254, DOI [DOI 10.1080/21632324.2015.1022974, 10.1080/21632324, DOI 10.1080/21632324]
   Ahmed T, 2015, Disaster-related statistics, Bangladesh experience
   Al-Amin AKMA, 2019, CLIMATIC CHANGE, V156, P545, DOI 10.1007/s10584-019-02511-9
   Alam E, 2022, INT J CLIM CHANG STR, V14, P191, DOI 10.1108/IJCCSM-02-2021-0019
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Alam GMM, 2017, ENVIRON MANAGE, V59, P777, DOI 10.1007/s00267-017-0826-3
   [Anonymous], 1998, Rev. Gen. Psychol, DOI [DOI 10.1037/1089-2680.2.2.175, 10.1037/1089-2680.2.2.175]
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   CEGIS, 2018, Prediction of riverbank erosion along the Jamuna, the Ganges and the Padma Rivers in 2018
   Das B, 2011, NAT HAZARDS, V58, P905, DOI 10.1007/s11069-010-9698-z
   De Longueville F, 2020, CLIMATIC CHANGE, V160, P123, DOI 10.1007/s10584-020-02704-7
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Elum ZA, 2017, CLIM RISK MANAG, V16, P246, DOI 10.1016/j.crm.2016.11.001
   Fraser-Mackenzie PAF, 2011, THEOR DECIS, V71, P211, DOI 10.1007/s11238-009-9181-z
   Freihardt J, 2023, NAT HAZARD EARTH SYS, V23, P751, DOI 10.5194/nhess-23-751-2023
   Haq SMA, 2017, NAT HAZARDS, V85, P1759, DOI 10.1007/s11069-016-2664-7
   Harris I, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0453-3
   Hasan M., 2018, Int J Energy Sustain Dev, V3, P44
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Howe PD, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab466a
   Howe PD, 2018, CLIMATIC CHANGE, V148, P467, DOI 10.1007/s10584-018-2210-6
   Howe PD, 2013, GLOBAL ENVIRON CHANG, V23, P1488, DOI 10.1016/j.gloenvcha.2013.09.014
   IPCC, 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
   Islam A., 2021, AM J CLIMATE CHANGE, V10, P2021, DOI [10.4236/ajcc.2021.102008, DOI 10.4236/AJCC.2021.102008]
   Kabir MI, 2016, BMC PUBLIC HEALTH, V16, DOI 10.1186/s12889-016-2930-3
   Kahneman D, 2013, THINKING FAST SLOW
   Kaiser ZRMA, 2023, J MIGRATION HEALTH, V7, DOI 10.1016/j.jmh.2023.100157
   Kosmowski F, 2016, CLIMATIC CHANGE, V135, P227, DOI 10.1007/s10584-015-1562-4
   Koubi V, 2022, Environmental change and migration aspirations: evidence from Bangladesh, DOI [10.31235/osf.io/h5q9y, DOI 10.31235/OSF.IO/H5Q9Y]
   Koubi V, 2016, CLIMATIC CHANGE, V138, P439, DOI 10.1007/s10584-016-1767-1
   KUNDA Z, 1990, PSYCHOL BULL, V108, P480, DOI 10.1037/0033-2909.108.3.480
   Linke AM, 2020, CLIMATIC CHANGE, V162, P1143, DOI 10.1007/s10584-020-02724-3
   Madhuri, 2020, CLIMATIC CHANGE, V162, P991, DOI 10.1007/s10584-020-02814-2
   Marlon JR, 2019, J RISK RES, V22, P936, DOI 10.1080/13669877.2018.1430051
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Masson-Delmotte V., 2018, GLOBAL WARMING 15 C
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   Moyo M., 2012, African Crop Science Journal, V20, P317
   Osbahr H, 2011, EXP AGR, V47, P293, DOI 10.1017/S0014479710000785
   Rigaud KantaKumari., 2018, GROUNDSWELL PREPARIN
   Sarker MH, 2014, GEOMORPHOLOGY, V215, P45, DOI 10.1016/j.geomorph.2013.07.025
   Shrestha UB, 2019, CLIMATIC CHANGE, V154, P315, DOI 10.1007/s10584-019-02418-5
   Siegrist M, 2008, RISK ANAL, V28, P771, DOI 10.1111/j.1539-6924.2008.01049.x
   STEHR N, 1995, CLIM RES, V5, P99, DOI 10.3354/cr005099
   Stott PA, 2016, WIRES CLIM CHANGE, V7, P23, DOI 10.1002/wcc.380
   Sutcliffe C, 2016, REG ENVIRON CHANGE, V16, P1215, DOI 10.1007/s10113-015-0842-x
   Tambo JA, 2013, REG ENVIRON CHANGE, V13, P375, DOI 10.1007/s10113-012-0351-0
   Trope Y, 2010, PSYCHOL REV, V117, P440, DOI 10.1037/a0018963
   Uddin M.N., 2017, American Journal of Climate Change, P151, DOI [DOI 10.4236/AJCC.2017.61009, 10.4236/ajcc.2017, DOI 10.4236/AJCC.2017]
   Vinke K, 2022, POPUL ENVIRON, V43, P319, DOI 10.1007/s11111-021-00393-7
   Zaval L, 2014, NAT CLIM CHANGE, V4, P143, DOI 10.1038/NCLIMATE2093
NR 53
TC 2
Z9 2
U1 4
U2 5
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 2024
VL 177
IS 2
AR 25
DI 10.1007/s10584-024-03678-6
PG 22
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA GH3P6
UT WOS:001151740900001
PM 38313455
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Valente, S
   Moro, S
   Di Lorenzo, M
   Milisenda, G
   Maiorano, L
   Colloca, F
AF Valente, Salvatore
   Moro, Stefano
   Di Lorenzo, Manfredi
   Milisenda, Giacomo
   Maiorano, Luigi
   Colloca, Francesco
TI Mediterranean fish communities are struggling to adapt to global
   warming. Evidence from the western coast of Italy
SO MARINE ENVIRONMENTAL RESEARCH
LA English
DT Article
DE Mean temperature of the catch; Community composition; Cluster analysis;
   Multivariate analysis; Models; Trends; Climate change; Fisheries;
   Tyrrhenian Sea
ID CLIMATE-CHANGE IMPACTS; LIFE-HISTORY TRAITS; FOOD-WEB STRUCTURE; MARINE
   FISH; FISHERIES; ATLANTIC; SEA; DIVERSITY; SPECIFICATIONS; ASSEMBLAGE
AB Climate change has significant impacts on marine ecosystems, resulting in disruptions in biological interactions, shifts in community composition, and changes in the physiology of fish and other marine organisms. In this study conducted in the central Mediterranean Sea, the mean temperature of the catch (MTC) was employed as an indicator to investigate the climatological factors influencing the fish community. The MTC, which utilizes species-preferred temperatures, was calculated using bottom temperature (BT) data weighted against scientific catches. The estimated MTC increasing rates were 0.01 degrees C year(-1) for the entire community, 0.017 degrees C year(-1) for the shelf break, and 0.004 degrees C year(-1) for the continental slope assemblage. We found that MTC is increasing at a lower rate compared to BT, suggesting a progressive under-adaptation of the fish community that seems not fully able to keep up with the ongoing pace of warming. The study identified sea surface temperature and bottom temperature as key drivers of changes in fish community composition. Notably, the fish community composition exhibited drastic changes over the studied period, and we suggest that the MTC can be a useful index to monitor such changes within the context of the EU's climate change adaptation strategy.
C1 [Valente, Salvatore; Moro, Stefano; Colloca, Francesco] Stn Zool Anton Dohrn, Dept Integrat Marine Ecol, Via Po 25c, I-00189 Rome, Italy.
   [Valente, Salvatore; Maiorano, Luigi] Sapienza Univ Rome, Dept Biol & Biotechnol Charles Darwin, Rome, Italy.
   [Di Lorenzo, Manfredi; Milisenda, Giacomo] Stn Zool Anton Dohrn, Dept Integrat Marine Ecol, I-90149 Palermo, Italy.
C3 Stazione Zoologica Anton Dohrn di Napoli; Sapienza University Rome;
   Stazione Zoologica Anton Dohrn di Napoli
RP Valente, S (corresponding author), Stn Zool Anton Dohrn, Dept Integrat Marine Ecol, Via Po 25c, I-00189 Rome, Italy.
EM salvatore.valente@uniroma1.it
RI Valente, Salvatore/IUP-6984-2023; Maiorano, Luigi/A-8637-2008; Colloca,
   Francesco/LWK-0229-2024; Milisenda, Giacomo/L-6882-2019; Moro,
   Stefano/KRQ-8032-2024
OI Valente, Salvatore/0009-0003-0181-2801; Moro,
   Stefano/0000-0001-7424-1382
FU Italian Ministry of Education, University and Research [CUP
   B85F21005360001]
FX This study was carried out within the Programma Operativo Nazionale
   (PON) Ricerca e Innovazione 2014-2020, Azione IV.5 Dottorati su
   tematiche green (CUP B85F21005360001) funded by the Italian Ministry of
   Education, University and Research. The authors would like to thank all
   the participants and the crews involved in the MEDITS scientific
   surveys, without whom the present work could not have been done.
CR Albouy C, 2014, GLOBAL CHANGE BIOL, V20, P730, DOI 10.1111/gcb.12467
   Albouy C, 2013, J BIOGEOGR, V40, P534, DOI 10.1111/jbi.12013
   Albouy C, 2012, GLOBAL CHANGE BIOL, V18, P2995, DOI 10.1111/j.1365-2486.2012.02772.x
   Anderson JJ, 2013, ECOL MODEL, V264, P83, DOI 10.1016/j.ecolmodel.2013.03.009
   [Anonymous], 2017, MEDITS Handbook, P106
   Azzurro E, 2019, GLOBAL CHANGE BIOL, V25, P2779, DOI 10.1111/gcb.14670
   Bargelloni L, 2003, J EVOLUTION BIOL, V16, P1149, DOI 10.1046/j.1420-9101.2003.00620.x
   Bertrand JA, 2002, SCI MAR, V66, P9, DOI 10.3989/scimar.2002.66s29
   Boeuf G, 2001, COMP BIOCHEM PHYS C, V130, P411, DOI 10.1016/S1532-0456(01)00268-X
   Brander K, 2010, J MARINE SYST, V79, P389, DOI 10.1016/j.jmarsys.2008.12.015
   Callaway R, 2002, ICES J MAR SCI, V59, P1199, DOI 10.1006/jmsc.2002.1288
   Carpentieri P, 2005, ESTUAR COAST SHELF S, V63, P577, DOI 10.1016/j.ecss.2005.01.005
   Carpine C., 1970, Mem. Inst. oceanogr. Monaco, VNo. 2, P1
   Cavraro F, 2023, FISHES-BASEL, V8, DOI 10.3390/fishes8010009
   Cheung WWL, 2013, NATURE, V497, P365, DOI 10.1038/nature12156
   Ciannelli L, 2013, MAR ECOL PROG SER, V480, P227, DOI 10.3354/meps10067
   Clarke K.R., 1994, CHANGE MARINE COMMUN
   CLARKE KR, 1993, AUST J ECOL, V18, P117, DOI 10.1111/j.1442-9993.1993.tb00438.x
   Coll M, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011842
   Colloca F, 2004, MAR BIOL, V145, P1129, DOI 10.1007/s00227-004-1405-8
   Colloca F, 2003, ESTUAR COAST SHELF S, V56, P469, DOI 10.1016/S0272-7714(02)00196-8
   Colloca F, 2017, FRONT MAR SCI, V4, DOI 10.3389/fmars.2017.00244
   Colloca F, 2014, J MARINE SYST, V138, P29, DOI 10.1016/j.jmarsys.2013.10.007
   Colloca F, 2013, FISH FISH, V14, P89, DOI 10.1111/j.1467-2979.2011.00453.x
   Cramer W, 2018, NAT CLIM CHANGE, V8, P972, DOI 10.1038/s41558-018-0299-2
   Daan N, 2005, ICES J MAR SCI, V62, P177, DOI 10.1016/j.icesjms.2004.08.020
   Denechaud C, 2020, GLOBAL CHANGE BIOL, V26, P5661, DOI 10.1111/gcb.15298
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   Dulvy NK, 2008, J APPL ECOL, V45, P1029, DOI 10.1111/j.1365-2664.2008.01488.x
   Engelhard GH, 2014, GLOBAL CHANGE BIOL, V20, P2473, DOI 10.1111/gcb.12513
   Escudier Romain, 2020, Ocean Predictions, V1, DOI 10.25423/CMCC/MEDSEA_MULTIYEAR_PHY_006_004_E3R1
   FAO, 2022, The state of mediterranean and black sea fisheries 2022, DOI [10.4060/cc3370-n, DOI 10.4060/CC3370-N]
   Fortibuoni T, 2015, REG ENVIRON CHANGE, V15, P931, DOI 10.1007/s10113-015-0781-6
   Free CM, 2019, SCIENCE, V363, P979, DOI 10.1126/science.aau1758
   Fromentin JM, 2001, FISH RES, V53, P133, DOI 10.1016/S0165-7836(00)00299-X
   Galil B.S., 2023, Palgrave Studies in Maritime Politics and Security
   García-Monteiro S, 2022, REG STUD MAR SCI, V49, DOI 10.1016/j.rsma.2021.102086
   Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005
   Gislason H, 2003, RESPONSIBLE FISHERIES IN THE MARINE ECOSYSTEM, P255, DOI 10.1079/9780851996332.0255
   Gonzalez A, 2009, ANNU REV ECOL EVOL S, V40, P393, DOI 10.1146/annurev.ecolsys.39.110707.173349
   Griffith GP, 2018, GLOBAL CHANGE BIOL, V24, pE90, DOI 10.1111/gcb.13891
   Grueber CE, 2011, J EVOLUTION BIOL, V24, P699, DOI 10.1111/j.1420-9101.2010.02210.x
   Hattab T, 2016, ECOGRAPHY, V39, P1227, DOI 10.1111/ecog.01937
   Heath MR, 2012, AQUAT CONSERV, V22, P337, DOI 10.1002/aqc.2244
   Holt RE, 2015, BIOL LETTERS, V11, DOI 10.1098/rsbl.2014.1032
   Huang MR, 2021, ECOL INDIC, V121, DOI 10.1016/j.ecolind.2020.106976
   IFREMER, 1997, Medatlas. Mediterranean Hydrological Atlas (Cd Rom)
   IPCC, 2022, CLIM CHANG 2022 IMP, DOI DOI 10.1017/9781009325844
   Jennings S, 2005, ICES J MAR SCI, V62, P397, DOI 10.1016/j.icesjms.2004.07.030
   Jorgensen C, 2007, SCIENCE, V318, P1247, DOI 10.1126/science.1148089
   Kaiser MJ, 2002, FISH FISH, V3, P114, DOI 10.1046/j.1467-2979.2002.00079.x
   Katsanevakis S, 2016, DIVERS DISTRIB, V22, P694, DOI 10.1111/ddi.12429
   Keskin Ç, 2014, ACTA ADRIAT, V55, P213
   Lasram FB, 2010, GLOBAL CHANGE BIOL, V16, P3233, DOI 10.1111/j.1365-2486.2010.02224.x
   Legendre P, 2001, OECOLOGIA, V129, P271, DOI 10.1007/s004420100716
   Legendre P., 2012, NUMERICAL ECOLOGY
   Lejeusne C, 2010, TRENDS ECOL EVOL, V25, P250, DOI 10.1016/j.tree.2009.10.009
   Lenoir S, 2011, GLOBAL CHANGE BIOL, V17, P115, DOI 10.1111/j.1365-2486.2010.02229.x
   Loreau M, 2013, ECOL LETT, V16, P106, DOI 10.1111/ele.12073
   Magoulas A, 2006, MOL PHYLOGENET EVOL, V39, P734, DOI 10.1016/j.ympev.2006.01.016
   Mazzoldi C, 2014, SCI DATA, V1, DOI 10.1038/sdata.2014.18
   McLean M, 2018, MAR ECOL PROG SER, V606, P175, DOI 10.3354/meps12766
   Mir-Arguimbau J, 2022, SCI MAR, V86, DOI 10.3989/scimar.05240.025
   Moullec F, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00345
   Oksanen Jari, 2022, CRAN
   Ordines F, 2014, MEDITERR MAR SCI, V15, P613, DOI 10.12681/mms.812
   Paiva F, 2018, GLOBAL CHANGE BIOL, V24, P2708, DOI 10.1111/gcb.14049
   Pankhurst NW, 2011, MAR FRESHWATER RES, V62, P1015, DOI 10.1071/MF10269
   Patarnello T, 2007, MOL ECOL, V16, P4426, DOI 10.1111/j.1365-294X.2007.03477.x
   Peristeraki P, 2019, SCI MAR, V83, P165, DOI 10.3989/scimar.04835.12A
   Perry AL, 2005, SCIENCE, V308, P1912, DOI 10.1126/science.1111322
   Pörtner HO, 2010, J FISH BIOL, V77, P1745, DOI 10.1111/j.1095-8649.2010.02783.x
   Pranovi F, 2001, MAR BIOL, V139, P863
   Relini G., 1988, Bollettino dei Musei e degli Istituti Biologici dell'Universita di Genova, V52, P139
   Rijnsdorp AD, 2009, ICES J MAR SCI, V66, P1570, DOI 10.1093/icesjms/fsp056
   Rojas-Sandoval J, 2012, APPL VEG SCI, V15, P513, DOI 10.1111/j.1654-109X.2012.01199.x
   Russo T, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00153
   Scientific, 2023, STECF-22-09, DOI [10.2760/00380JRC132120, DOI 10.2760/00380JRC132120]
   Segvic-Bubic T, 2016, FISH RES, V179, P271, DOI 10.1016/j.fishres.2016.03.018
   Serravall R, 1999, OCEANOL ACTA, V22, P281, DOI 10.1016/S0399-1784(99)80052-8
   Soto-Navarro J, 2020, CLIM DYNAM, V54, P2135, DOI 10.1007/s00382-019-05105-4
   Spedicato MT, 2019, SCI MAR, V83, P9, DOI 10.3989/scimar.04915.11X
   Team RC, 2014, R: A Language and Environment for Statistical Computing
   Tsikliras AC, 2015, FRONT MAR SCI, V2, DOI 10.3389/fmars.2015.00023
   Tsikliras AC, 2014, MAR ECOL PROG SER, V515, P281, DOI 10.3354/meps11005
   Tuel A, 2020, J CLIMATE, V33, P5829, DOI 10.1175/JCLI-D-19-0910.1
   Velotta JP, 2022, INTEGR COMP BIOL, V62, P357, DOI 10.1093/icb/icac072
   von Schuckmann K, 2018, J OPER OCEANOGR, V11, pS1, DOI 10.1080/1755876X.2018.1489208
   Wood S.N., 2017, Generalized Additive Models: An Introduction with R, VSecond, DOI DOI 10.1201/9781315370279
NR 89
TC 7
Z9 7
U1 5
U2 14
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0141-1136
EI 1879-0291
J9 MAR ENVIRON RES
JI Mar. Environ. Res.
PD OCT
PY 2023
VL 191
AR 106176
DI 10.1016/j.marenvres.2023.106176
EA SEP 2023
PG 11
WC Environmental Sciences; Marine & Freshwater Biology; Toxicology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology;
   Toxicology
GA T9VC8
UT WOS:001081379300001
PM 37716279
OA hybrid
DA 2025-01-10
ER

PT J
AU Bryndum-Buchholz, A
   Blanchard, JL
   Coll, M
   Du Pontavice, H
   Everett, JD
   Guiet, J
   Heneghan, RF
   Maury, O
   Novaglio, C
   Palacios-Abrantes, J
   Petrik, CM
   Tittensor, DP
   Lotze, HK
AF Bryndum-Buchholz, Andrea
   Blanchard, Julia L.
   Coll, Marta
   Du Pontavice, Hubert
   Everett, Jason D.
   Guiet, Jerome
   Heneghan, Ryan F.
   Maury, Olivier
   Novaglio, Camilla
   Palacios-Abrantes, Juliano
   Petrik, Colleen M.
   Tittensor, Derek P.
   Lotze, Heike K.
TI Applying ensemble ecosystem model projections to future-proof marine
   conservation planning in the Northwest Atlantic Ocean
SO FACETS
LA English
DT Article
DE climate change impacts; ensemble modelling; marine biomass projections;
   MPAs; OECMs; Atlantic Canada
ID NET PRIMARY PRODUCTIVITY; CLIMATE-CHANGE IMPACTS; 21ST-CENTURY
   PROJECTIONS; BIODIVERSITY; SYSTEM; FISHERIES; DYNAMICS; REFUGIA; SHELF
AB Climate change is altering marine ecosystems across the globe and is projected to do so for centuries to come. Marine conservation agencies can use short- and long-term projections of species-specific or ecosystem-level climate responses to inform marine conservation planning. Yet, integration of climate change adaptation, mitigation, and resilience into marine conservation planning is limited. We analysed future trajectories of climate change impacts on total consumer biomass and six key physical and biogeochemical drivers across the Northwest Atlantic Ocean to evaluate the consequences for Marine Protected Areas (MPAs) and Other Effective area-based Conservation Measures (OECMs) in Atlantic Canada. We identified climate change hotspots and refugia, where the environmental drivers are projected to change most or remain close to their current state, respectively, by mid- and end-century. We used standardized outputs from the Fisheries and Marine Ecosystem Model Intercomparison Project and the 6th Coupled Model Intercomparison Project. Our analysis revealed that, currently, no existing marine conservation areas in Atlantic Canada overlap with identified climate refugia. Most (75%) established MPAs and more than one-third (39%) of the established OECMs lie within cumulative climate hotspots. Our results provide important long-term context for adaptation and future-proofing spatial marine conservation planning in Canada and the Northwest Atlantic region.
C1 [Bryndum-Buchholz, Andrea; Tittensor, Derek P.; Lotze, Heike K.] Dalhousie Univ, Dept Biol, 1355 Oxford St, Halifax, NS B3H 4R2, Canada.
   [Bryndum-Buchholz, Andrea] Mem Univ Newfoundland, Fisheries & Marine Inst, Ctr Fisheries Ecosyst Res, St John, NF, Canada.
   [Blanchard, Julia L.; Novaglio, Camilla] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia.
   [Blanchard, Julia L.; Novaglio, Camilla] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas, Australia.
   [Coll, Marta] CSIC, Inst Marine Sci ICM, Barcelona, Spain.
   [Coll, Marta] Ecopath Int Initiat Res Assoc, Barcelona, Spain.
   [Du Pontavice, Hubert] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ USA.
   [Everett, Jason D.] Univ Queensland, Sch Math & Phys, St Lucia, Qld 4067, Australia.
   [Everett, Jason D.] Commonwealth Sci & Ind Res Org CSIRO, Oceans & Atmosphere, Queensland Biosci Precinct QBP, St Lucia, Qld 4067, Australia.
   [Everett, Jason D.] Univ New South Wales, Ctr Marine Sci & Innovat, Sydney, NSW 2052, Australia.
   [Guiet, Jerome] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA USA.
   [Heneghan, Ryan F.] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld, Australia.
   [Maury, Olivier] Univ Montpellier, MARBEC, CNRS, Ifremer,IRD, Sete, France.
   [Palacios-Abrantes, Juliano] Univ British Columbia, Inst Oceans & Fisheries, Vancouver, BC, Canada.
   [Petrik, Colleen M.] Univ Calif San Diego, Scripps Inst Oceanog, San Diego, CA USA.
   [Tittensor, Derek P.] United Nations Environm Programme World Conservat, 219 Huntingdon Rd, Cambridge CB3 0DL, England.
C3 Dalhousie University; Memorial University Newfoundland; University of
   Tasmania; University of Tasmania; Consejo Superior de Investigaciones
   Cientificas (CSIC); CSIC - Centro Mediterraneo de Investigaciones
   Marinas y Ambientales (CMIMA); CSIC - Instituto de Ciencias del Mar
   (ICM); Princeton University; National Oceanic Atmospheric Admin (NOAA) -
   USA; University of Queensland; Commonwealth Scientific & Industrial
   Research Organisation (CSIRO); University of New South Wales Sydney;
   University of California System; University of California Los Angeles;
   Queensland University of Technology (QUT); Centre National de la
   Recherche Scientifique (CNRS); Universite de Montpellier; Institut de
   Recherche pour le Developpement (IRD); Ifremer; University of British
   Columbia; University of California System; University of California San
   Diego; Scripps Institution of Oceanography
RP Bryndum-Buchholz, A (corresponding author), Dalhousie Univ, Dept Biol, 1355 Oxford St, Halifax, NS B3H 4R2, Canada.; Bryndum-Buchholz, A (corresponding author), Mem Univ Newfoundland, Fisheries & Marine Inst, Ctr Fisheries Ecosyst Res, St John, NF, Canada.
EM andrea.buchholz@mi.mun.ca
RI Tittensor, Derek/AAV-1117-2021; Palacios Abrantes,
   Juliano/ITV-0093-2023; Blanchard, Julia/E-4919-2010; Coll,
   Marta/A-9488-2012; Everett, Jason/C-4557-2008
OI Heneghan, Ryan/0000-0001-7626-1248; Bryndum-Buchholz,
   Andrea/0000-0002-7635-7845; Novaglio, Camilla/0000-0003-3681-1377;
   Palacios-Abrantes, Juliano/0000-0001-8969-5416; Du Pontavice,
   Hubert/0000-0001-9571-0651; Coll, Marta/0000-0001-6235-5868; Blanchard,
   Julia/0000-0003-0532-4824; Everett, Jason/0000-0002-6681-8054
FU MEOPAR Postdoctoral Fellowship Award; Natural Sciences and Engineering
   Research Council (NSERC) of Canada; NOAA NEFSC's "New England's
   Groundfish in a Changing Climate" program; Spanish National Project
   ProOceans [NA20OAR4310438]; EU [NA20OAR4310441]; NOAA [NA20OAR4310442,
   DP19010229, FT210100798]; Jarislowsky Foundation; Australian Research
   Council Discovery Project [80NSSC21K0420]; Australian Research Council;
   Ocean Frontier Institute - Canada First Research Excellence Fund;
   National Aeronautics and Space Administration (NASA); "Severo Ochoa
   Centre of Excellence" accreditation [CEX2019-000928-S]; NSERC;
   Australian Research Council [FT210100798] Funding Source: Australian
   Research Council
FX ABB acknowledges financial support from the MEOPAR Postdoctoral
   Fellowship Award 2020-2021, 2021-2022, and the Ocean Frontier Institute
   Modules G and H funded by the Canada First Research Excellence Fund. HKL
   acknowledges funding from the Natural Sciences and Engineering Research
   Council (NSERC) of Canada. Funding for Hubert du Pontavice was provided
   by the NOAA NEFSC's "New England's Groundfish in a Changing Climate"
   program. MC would like to acknowledge partial funding from the Spanish
   National Project ProOceans (PID2020-118097RB-I00) , the EU grant
   agreement No 101059407 (MarinePlan project) , and the "Severo Ochoa
   Centre of Excellence" accreditation (CEX2019-000928-S) to the Institute
   of Marine Science. OM acknowledges the EU H2020 Grant No. 817578
   (TRIATLAS) . CMP acknowledges support from NOAA grants NA20OAR4310438,
   NA20OAR4310441, and NA20OAR4310442. DPT acknowledges funding from the
   Jarislowsky Foundation and NSERC. JDE was funded by the Australian
   Research Council Discovery Project No. DP19010229. JLB and CN were
   supported by Australian Research Council FT210100798. JG acknowledges
   support from the National Aeronautics and Space Administration (NASA)
   under Grant No. 80NSSC21K0420.
CR [Anonymous], 2019, Maritime Boundaries Geodatabase: Maritime Boundaries and Exclusive Economic Zones (200nm), Version 11
   Ban SS, 2016, GLOB ECOL CONSERV, V8, P41, DOI 10.1016/j.gecco.2016.07.004
   Barneche DR, 2021, NATURE, V592, P76, DOI 10.1038/s41586-021-03352-2
   Bindoff N. L., 2022, The Ocean and Cryosphere in a Changing Climate, P447, DOI [DOI 10.1017/9781009157964.007, 10.1017/9781009157964.007]
   Blanchard JL, 2012, PHILOS T R SOC B, V367, P2979, DOI 10.1098/rstb.2012.0231
   Bopp L, 2013, BIOGEOSCIENCES, V10, P6225, DOI 10.5194/bg-10-6225-2013
   Bopp L, 2022, BIOGEOSCIENCES, V19, P4267, DOI 10.5194/bg-19-4267-2022
   Boucher O, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002010
   Boyce D.G., 2022, bioRxiv, P2022, DOI [10.1101/2022.07.19.500650, DOI 10.1101/2022.07.19.500650]
   Boyce DG, 2022, NAT CLIM CHANGE, V12, P854, DOI 10.1038/s41558-022-01437-y
   Bryndum-Buchholz A, 2022, FACETS, V7, P571, DOI 10.1139/facets-2021-0122
   Bryndum-Buchholz A, 2020, FACETS, V5, P105, DOI 10.1139/facets-2019-0035
   Carozza DA, 2016, GEOSCI MODEL DEV, V9, P1545, DOI 10.5194/gmd-9-1545-2016
   Castañeda RA, 2020, FISHERIES, V45, P303, DOI 10.1002/fsh.10449
   Cheung WWL, 2011, ICES J MAR SCI, V68, P1008, DOI 10.1093/icesjms/fsr012
   Christensen V, 2015, GLOBAL ECOL BIOGEOGR, V24, P507, DOI 10.1111/geb.12281
   Coll M, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.567877
   D'Aloia CC, 2019, FRONT ECOL EVOL, V7, DOI 10.3389/fevo.2019.00027
   Dankers R, 2020, CLIMATIC CHANGE, V163, P1379, DOI 10.1007/s10584-020-02858-4
   DFO, 2021, REACH CAN MAR CONS T
   DFO, 2022, Seafisheries landed value by province
   Doney SC, 2012, ANNU REV MAR SCI, V4, P11, DOI 10.1146/annurev-marine-041911-111611
   du Pontavice H, 2021, GLOBAL CHANGE BIOL, V27, P2608, DOI 10.1111/gcb.15576
   Dufour F, 2010, PROG OCEANOGR, V86, P283, DOI 10.1016/j.pocean.2010.04.007
   Dulvy NK, 2008, J APPL ECOL, V45, P1029, DOI 10.1111/j.1365-2664.2008.01488.x
   Dunne JP, 2020, J ADV MODEL EARTH SY, V12, DOI 10.1029/2019MS002015
   Eddy TD, 2021, TRENDS ECOL EVOL, V36, P76, DOI 10.1016/j.tree.2020.09.006
   Exbrayat JF, 2018, EARTH SYST DYNAM, V9, P153, DOI 10.5194/esd-9-153-2018
   Eyring V, 2016, EARTH SYST DYNAM, V7, P813, DOI 10.5194/esd-7-813-2016
   Friedland KD, 2021, ECOL EVOL, V11, P2050, DOI 10.1002/ece3.7150
   Friedland KD, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135270
   Galbraith ED, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14884
   Gascuel D, 2011, ICES J MAR SCI, V68, P1403, DOI 10.1093/icesjms/fsr062
   Gissi E, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142564
   Gordó-Vilaseca C, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2120869120
   Government of Canada, 2022, Canadian Protected and Conserved Areas Database
   Grady JM, 2019, SCIENCE, V363, P366, DOI 10.1126/science.aat4220
   Griffith GP, 2012, CONSERV BIOL, V26, P1145, DOI 10.1111/j.1523-1739.2012.01937.x
   Halpern BS, 2008, SCIENCE, V319, P948, DOI 10.1126/science.1149345
   Halpern BS, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8615
   Hastings RA, 2020, CURR BIOL, V30, P1572, DOI 10.1016/j.cub.2020.02.043
   Heneghan RF, 2021, PROG OCEANOGR, V198, DOI 10.1016/j.pocean.2021.102659
   Heneghan RF, 2020, ECOL MODEL, V435, DOI 10.1016/j.ecolmodel.2020.109265
   Holt J, 2017, GEOSCI MODEL DEV, V10, P499, DOI 10.5194/gmd-10-499-2017
   Jennings S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133794
   Jouffray JB, 2020, ONE EARTH, V2, P43, DOI 10.1016/j.oneear.2019.12.016
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Khosravi N, 2022, EARTHS FUTURE, V10, DOI 10.1029/2021EF002282
   Langan JA, 2021, MAR ECOL PROG SER, V660, P1, DOI 10.3354/meps13612
   Laurent A, 2021, BIOGEOSCIENCES, V18, P1803, DOI 10.5194/bg-18-1803-2021
   Laurent A, 2018, J GEOPHYS RES-OCEANS, V123, P3408, DOI 10.1002/2017JC013583
   Lavoie D, 2019, ATMOS OCEAN, V57, P18, DOI 10.1080/07055900.2017.1401973
   Lemieux CJ, 2020, J ENVIRON STUD SCI, V10, P483, DOI 10.1007/s13412-020-00627-4
   Lemieux CJ, 2019, MAR POLICY, V99, P312, DOI 10.1016/j.marpol.2018.10.029
   Loder JW, 2015, ATMOS OCEAN, V53, P529, DOI 10.1080/07055900.2015.1087836
   Lotze HK, 2022, FACETS, V7, P1142, DOI 10.1139/facets-2021-01971142
   Lotze HK, 2021, CURR BIOL, V31, pR1190, DOI 10.1016/j.cub.2021.06.084
   Lotze HK, 2019, P NATL ACAD SCI USA, V116, P12907, DOI 10.1073/pnas.1900194116
   Maury O, 2010, PROG OCEANOGR, V84, P113, DOI 10.1016/j.pocean.2009.09.013
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Neto AG, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00143-5
   Nye JA, 2009, MAR ECOL PROG SER, V393, P111, DOI 10.3354/meps08220
   O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004
   O'Regan SM, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.711085
   Orio A, 2019, J BIOGEOGR, V46, P633, DOI 10.1111/jbi.13510
   Parks SA, 2023, GLOBAL CHANGE BIOL, V29, P2681, DOI 10.1111/gcb.16629
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pershing AJ, 2021, ELEMENTA-SCI ANTHROP, V9, DOI 10.1525/elementa.2020.00076
   Pershing AJ, 2015, SCIENCE, V350, P809, DOI 10.1126/science.aac9819
   Petrie B, 2009, FISH OCEANOGR, V18, P83, DOI 10.1111/j.1365-2419.2009.00500.x
   Petrik CM, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.588482
   Petrik CM, 2019, PROG OCEANOGR, V176, DOI 10.1016/j.pocean.2019.102124
   Pörtner HO, 2007, SCIENCE, V315, P95, DOI 10.1126/science.1135471
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   Richaud B, 2016, CONT SHELF RES, V124, P165, DOI 10.1016/j.csr.2016.06.005
   Saba VS, 2016, J GEOPHYS RES-OCEANS, V121, P118, DOI 10.1002/2015JC011346
   Séférian R, 2020, CURR CLIM CHANGE REP, V6, P95, DOI 10.1007/s40641-020-00160-0
   Shackell NL, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.612859
   Shackell NL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090662
   Tittensor DP, 2021, NAT CLIM CHANGE, V11, P973, DOI 10.1038/s41558-021-01173-9
   Tittensor DP, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aay9969
   Tittensor Derek P, 2018, GFZ
   Tittensor DP, 2018, GEOSCI MODEL DEV, V11, P1421, DOI 10.5194/gmd-11-1421-2018
   Tokarska KB, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz9549
   Wilson KL, 2020, GLOBAL CHANGE BIOL, V26, P3251, DOI 10.1111/gcb.15094
NR 85
TC 2
Z9 3
U1 3
U2 14
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 2371-1671
J9 FACETS
JI Facets
PD AUG 17
PY 2023
VL 8
AR 0024
DI 10.1139/facets-2023-0024
PG 16
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA S7GM5
UT WOS:001072816700001
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Laloë, JO
   Hays, GC
AF Laloe, Jacques-Olivier
   Hays, Graeme C. C.
TI Can a present-day thermal niche be preserved in a warming climate by a
   shift in phenology? A case study with sea turtles
SO ROYAL SOCIETY OPEN SCIENCE
LA English
DT Article
DE climate change adaptation; marine turtles; climatology; conservation;
   endangered species
ID SEXUAL-DIFFERENTIATION; LOGGERHEAD TURTLES; CARETTA-CARETTA; MARINE
   TURTLES; TEMPERATURE; IMPACTS; MODEL; EVOLUTIONARY; FEMINIZATION;
   MORTALITY
AB How species respond to climate change may impact their extinction probability. Here we link climatology and ecology to tackle a globally important conservation question. For sea turtles, there are concerns that climate warming will cause both the feminization of populations as well as reduced hatchling survival. For 58 nesting sites across the world spanning all seven sea turtle species, we investigated whether warming might be avoided by shifts in nesting phenology to a cooler part of the year. We show that even with the most extreme phenological shift that has been reported to date-an 18-day advance in nesting per degrees C increase in sea surface temperature (SST)-temperatures will continue to increase at nesting sites with climate warming. We estimate that SST at nesting sites will rise by an average of 0.6 degrees C (standard deviation = 0.9 degrees C, n = 58) when we model a 1.5 degrees C rise in SST combined with a best-case-scenario shift in nesting. Since sea turtles exhibit temperature-dependent sex determination, these temperature rises could lead to increasingly female-biased sex ratios as well as reduced hatchling production at sites across the world. These findings underscore concerns for the long-term survival of this iconic group.
C1 [Laloe, Jacques-Olivier; Hays, Graeme C. C.] Deakin Univ, Geelong, Vic 3216, Australia.
C3 Deakin University
RP Hays, GC (corresponding author), Deakin Univ, Geelong, Vic 3216, Australia.
EM g.hays@deakin.edu.au
RI Laloe, Jacques-Olivier/LDG-2061-2024
CR Almpanidou V, 2018, MITIG ADAPT STRAT GL, V23, P1143, DOI 10.1007/s11027-017-9777-5
   Bentley BP, 2020, FUNCT ECOL, V34, P2302, DOI 10.1111/1365-2435.13645
   Bentley BP, 2020, J THERM BIOL, V88, DOI 10.1016/j.jtherbio.2020.102522
   Booth DT, 2020, MAR ECOL PROG SER, V653, P181, DOI 10.3354/meps13500
   Booth DT, 2018, J EXP ZOOL PART A, V329, P343, DOI 10.1002/jez.2195
   Booth DT, 2017, INTEGR ZOOL, V12, P352, DOI 10.1111/1749-4877.12255
   Booth DT, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023162
   Both C, 2009, J ANIM ECOL, V78, P73, DOI 10.1111/j.1365-2656.2008.01458.x
   Butler CJ, 2019, DIVERSITY-BASEL, V11, DOI 10.3390/d11080138
   Charmantier A, 2014, EVOL APPL, V7, P15, DOI 10.1111/eva.12126
   Chivers WJ, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14434
   Edwards M, 2010, TRENDS ECOL EVOL, V25, P602, DOI 10.1016/j.tree.2010.07.007
   Esteban N, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-35821-6
   Esteban N, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2581
   Esteban N, 2016, SCI REP-UK, V6, DOI 10.1038/srep20339
   Fuentes MMPB, 2013, ECOL MODEL, V251, P150, DOI 10.1016/j.ecolmodel.2012.12.020
   Fuentes M. M. P. B., 2009, Endangered Species Research, V9, P33, DOI 10.3354/esr00224
   Fuentes MMPB, 2017, ECOL MODEL, V365, P55, DOI 10.1016/j.ecolmodel.2017.09.022
   Girondot Marc, 2010, Endangered Species Research, V12, P95, DOI 10.3354/esr00292
   Godley BJ, 2020, ORYX, V54, P287, DOI 10.1017/S0030605320000162
   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]
   Hamann M, 2013, CRC MAR BIOL SER, P353
   Harding KJ, 2014, J GEOPHYS RES-ATMOS, V119, P13116, DOI 10.1002/2014JD022575
   Hawkes LA, 2007, GLOBAL CHANGE BIOL, V13, P923, DOI 10.1111/j.1365-2486.2007.01320.x
   Hawkins E, 2011, CLIM DYNAM, V37, P407, DOI 10.1007/s00382-010-0810-6
   Hays GC, 2021, BIOL LETTERS, V17, DOI 10.1098/rsbl.2021.0038
   Hays GC, 2017, P ROY SOC B-BIOL SCI, V284, DOI 10.1098/rspb.2016.2576
   Hays GC, 2014, FRONT MAR SCI, V1, DOI 10.3389/fmars.2014.00043
   Houghton JDR, 2007, J EXP MAR BIOL ECOL, V345, P71, DOI 10.1016/j.jembe.2007.02.001
   Jensen MP, 2022, B MAR SCI, V98, P131, DOI 10.5343/bms.2021.0033
   Jensen MP, 2018, CURR BIOL, V28, P154, DOI 10.1016/j.cub.2017.11.057
   Jezkova T, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.2104
   Kearney MR, 2010, CONSERV LETT, V3, P203, DOI 10.1111/j.1755-263X.2010.00097.x
   Knutti R, 2008, PHILOS T R SOC A, V366, P4647, DOI 10.1098/rsta.2008.0169
   Knutti R, 2013, NAT CLIM CHANGE, V3, P369, DOI [10.1038/nclimate1716, 10.1038/NCLIMATE1716]
   Konsta A, 2022, REG ENVIRON CHANGE, V22, DOI 10.1007/s10113-022-01952-w
   Kubelka V, 2022, TRENDS ECOL EVOL, V37, P30, DOI 10.1016/j.tree.2021.08.010
   Laloe J-O., 2023, FIGSHARE, DOI [10.6084/m9.figshare.c.6403882, DOI 10.6084/M9.FIGSHARE.C.6403882]
   Laloë JO, 2021, GLOBAL CHANGE BIOL, V27, P6592, DOI 10.1111/gcb.15903
   Laloë JO, 2021, ECOL EVOL, V11, P560, DOI 10.1002/ece3.7076
   Laloë JO, 2017, GLOBAL CHANGE BIOL, V23, P4922, DOI 10.1111/gcb.13765
   le Gall J.-Y., 1987, Amphibia-Reptilia, V8, P277, DOI 10.1163/156853887X00315
   Masson-Delmotte V., 2018, IPCC 2018 GLOBAL WAR
   Matsuzawa Y, 2002, MAR BIOL, V140, P639, DOI 10.1007/s00227-001-0724-2
   Mayor SJ, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02045-z
   Mazaris AD, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2012.2397
   Mazaris AD, 2009, J EXP MAR BIOL ECOL, V379, P23, DOI 10.1016/j.jembe.2009.07.026
   Mazaris AD, 2008, J EXP MAR BIOL ECOL, V367, P219, DOI 10.1016/j.jembe.2008.09.025
   McCarty JP, 2001, CONSERV BIOL, V15, P320, DOI 10.1046/j.1523-1739.2001.015002320.x
   Mérida AM, 2021, ANIMALS-BASEL, V11, DOI 10.3390/ani11113168
   MEYLAN AB, 1990, SCIENCE, V248, P724, DOI 10.1126/science.2333522
   Monsinjon JR, 2019, ECOL INDIC, V107, DOI 10.1016/j.ecolind.2019.105657
   MROSOVSKY N, 1980, BIOL CONSERV, V18, P271, DOI 10.1016/0006-3207(80)90003-8
   O'Dea SA, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms6363
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Parmesan C, 1999, NATURE, V399, P579, DOI 10.1038/21181
   Patel SH, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0157170
   Patrício AR, 2021, ENDANGER SPECIES RES, V44, P363, DOI 10.3354/esr01110
   Pendergrass AG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17966-y
   Pfaller JB, 2022, MAR BIOL, V169, DOI 10.1007/s00227-021-03991-z
   Pike DA, 2009, CHELONIAN CONSERV BI, V8, P43, DOI 10.2744/CCB-0726.1
   Pörtner HO, 2008, SCIENCE, V322, P690, DOI 10.1126/science.1163156
   Poloczanska ES, 2009, ADV MAR BIOL, V56, P151, DOI 10.1016/S0065-2881(09)56002-6
   Pradhan UK, 2022, REND LINCEI-SCI FIS, V33, P153, DOI 10.1007/s12210-022-01046-z
   Rangwala I, 2021, CLIMATE, V9, DOI 10.3390/cli9120177
   Robinson NJ, 2014, ENDANGER SPECIES RES, V24, P197, DOI 10.3354/esr00604
   Schroth W, 1996, NATURE, V384, P521, DOI 10.1038/384521a0
   Siegwalt F, 2020, BIOL CONSERV, V250, DOI 10.1016/j.biocon.2020.108742
   Smith CE, 2021, MAR ECOL PROG SER, V667, P177, DOI 10.3354/meps13721
   Spotila JR., 2004, SEA TURTLES COMPLETE, P227
   Staines MN, 2020, MAR BIOL, V167, DOI 10.1007/s00227-020-03800-z
   Stubbs J.L., 2014, Clim. Chang. Responses, V1, P3
   Tabari H, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-22795-8
   TEWG, 2009, NOAA TECH MEMO NMFS
   Tomillo PS, 2021, BIOL CONSERV, V261, DOI 10.1016/j.biocon.2021.109260
   Turkozan O, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03153-6
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   Valenzuela N., 2004, Temperature-dependent sex determination in vertebrates, P194
   Varela MR, 2019, GLOBAL CHANGE BIOL, V25, P753, DOI 10.1111/gcb.14526
   Vindas-Picado J, 2020, MITIG ADAPT STRAT GL, V25, P1509, DOI 10.1007/s11027-020-09932-3
   Weishampel JF, 2004, GLOBAL CHANGE BIOL, V10, P1424, DOI 10.1111/j.1529-8817.2003.00817.x
   Williams KL, 2008, SOUTHEAST NAT, V7, P165, DOI 10.1656/1528-7092(2008)7[165:TRFLTF]2.0.CO;2
   YNTEMA CL, 1982, CAN J ZOOL, V60, P1012, DOI 10.1139/z82-141
NR 83
TC 10
Z9 10
U1 3
U2 22
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2054-5703
J9 ROY SOC OPEN SCI
JI R. Soc. Open Sci.
PD FEB 8
PY 2023
VL 10
IS 2
AR 221002
DI 10.1098/rsos.221002
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 9L0KF
UT WOS:000941246200006
PM 36778962
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Baker, JS
   Van Houtven, G
   Phelan, J
   Latta, G
   Clark, CM
   Austin, KG
   Sodiya, OE
   Ohrel, SB
   Buckley, J
   Gentile, LE
   Martinich, J
AF Baker, Justin S.
   Van Houtven, George
   Phelan, Jennifer
   Latta, Gregory
   Clark, Christopher M.
   Austin, Kemen G.
   Sodiya, Olakunle E.
   Ohrel, Sara B.
   Buckley, John
   Gentile, Lauren E.
   Martinich, Jeremy
TI Projecting US forest management, market, and carbon sequestration
   responses to a high-impact climate scenario
SO FOREST POLICY AND ECONOMICS
LA English
DT Article
DE Forest productivity; Forest management; Climate change adaptation; Mill
   capacity
ID CHANGING CLIMATE; UNITED-STATES; LAND-USE; MODEL; GROWTH; PRODUCTIVITY;
   TEMPERATURE; FUTURE
AB The impact of climate change on forest ecosystems remains uncertain, with wide variation in potential climate impacts across different radiative forcing scenarios and global circulation models, as well as potential variation in forest productivity impacts across species and regions. This study uses an empirical forest composition model to estimate the impact of climate factors (temperature and precipitation) and other environmental parameters on forest productivity for 94 forest species across the conterminous United States. The composition model is linked to a dynamic optimization model of the U.S. forestry sector to quantify economic impacts of a high warming scenario (Representative Concentration Pathway 8.5) under six alternative climate projections and two socioeconomic scenarios. Results suggest that forest market impacts and consumer impacts could range from relatively large losses (-$2.6 billion) to moderate gain ($0.2 billion) per year across climate scenarios. Temperature induced higher mortality and lower productivity for some forest types and scenarios, coupled with increasing economic demands for forest products, result in forest inventory losses by end of century relative to the current climate baseline (3%-23%). Lower inventories and reduced carbon sequestration capacity result in additional economic losses of up to approximately $4.1 billion per year. However, our results also highlight important adaptation mechanisms, such forest type changes and shifts in regional mill capacity that could reduce the impact of high impact climate scenarios.
C1 [Baker, Justin S.; Sodiya, Olakunle E.] North Carolina State Univ, Dept Forestry & Environm Resources, 2800 Faucette Dr, Raleigh, NC 27607 USA.
   [Van Houtven, George; Phelan, Jennifer; Austin, Kemen G.] RTI Int, 3040 East Cornwallis Rd, Res Triangle Pk, NC 27709 USA.
   [Latta, Gregory] Univ Idaho, 875 Perimeter Dr, MS 1139, Moscow, ID 83844 USA.
   [Clark, Christopher M.; Ohrel, Sara B.; Gentile, Lauren E.; Martinich, Jeremy] US Environm Protect Agcy, 1200 Penn Ave NW, Washington, DC 20460 USA.
   [Buckley, John] Mormick Taylor, 509 South Exeter St, 4th Floor, Baltimore, MD 21202 USA.
C3 North Carolina State University; Research Triangle Institute; University
   of Idaho; United States Environmental Protection Agency
RP Baker, JS (corresponding author), North Carolina State Univ, Dept Forestry & Environm Resources, 2800 Faucette Dr, Raleigh, NC 27607 USA.
EM justinbaker@ncsu.edu
RI Austin, Kemen/AFL-1822-2022; Phelan, Jennifer/KFQ-1809-2024; Baker,
   Justin/N-8117-2018; Sodiya, Olakunle/HMV-6784-2023; Clark,
   Christopher/JRX-4117-2023; Buckley, John/G-5654-2013
OI Van Houtven, George/0000-0001-6141-7318; SODIYA,
   OLAKUNLE/0000-0003-0435-1951; Baker, Justin/0000-0002-9914-8421; Austin,
   Kemen/0000-0002-7690-8774; Phelan, Jennifer/0000-0002-0931-3447
FU U.S. Environmental Protection Agency [68HERH19D0030]
FX This research was funded by the U.S. Environmental Protection Agency
   under contract #68HERH19D0030. The views expressed in this article are
   those of the authors and do not necessarily reflect those of their
   affiliated institutions, including the EPA.
CR Baig S, 2015, GLOBAL CHANGE BIOL, V21, P4303, DOI 10.1111/gcb.12962
   Baker JS, 2019, ENERG POLICY, V126, P391, DOI 10.1016/j.enpol.2018.10.009
   Baker JS, 2018, ENERG POLICY, V116, P397, DOI 10.1016/j.enpol.2017.11.026
   Beach R.H., 2010, 0210826016 RTI INT
   Beach RH, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/9/095004
   Buongiorno J, 2015, FOR ECOSYST, V2, DOI 10.1186/s40663-015-0054-3
   Burkhart HE, 2018, FOREST SCI, V64, P349, DOI 10.1093/forsci/fxy008
   Chen C, 2022, P NATL ACAD SCI USA, V119, DOI 10.1073/pnas.2115627119
   Christensen P, 2018, P NATL ACAD SCI USA, V115, P5409, DOI 10.1073/pnas.1713628115
   Daigneault A, 2022, GLOBAL ENVIRON CHANG, V76, DOI 10.1016/j.gloenvcha.2022.102582
   Daigneault A, 2021, LAND USE POLICY, V103, DOI 10.1016/j.landusepol.2021.105302
   Davis EC, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-33196-x
   Farjat AE, 2015, FOREST SCI, V61, P703, DOI 10.5849/forsci.14-075
   Favero A, 2018, AGRIC RESOUR ECON RE, V47, P388, DOI 10.1017/age.2018.15
   Fischer AP, 2019, GLOBAL ENVIRON CHANG, V54, P160, DOI 10.1016/j.gloenvcha.2018.10.011
   Forzieri G, 2022, NATURE, V608, P534, DOI 10.1038/s41586-022-04959-9
   Frank S, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abc58a
   Fujimori S, 2019, NAT SUSTAIN, V2, P386, DOI 10.1038/s41893-019-0286-2
   Girardin MP, 2016, P NATL ACAD SCI USA, V113, pE8406, DOI 10.1073/pnas.1610156113
   Gower ST, 2003, ANNU REV ENV RESOUR, V28, P169, DOI 10.1146/annurev.energy.28.050302.105515
   Gustafson EJ, 2013, ECOSYSTEMS, V16, P60, DOI 10.1007/s10021-012-9596-1
   Haim D, 2011, CLIM CHANG ECON, V2, P27, DOI 10.1142/S2010007811000218
   Hanewinkel M, 2013, NAT CLIM CHANGE, V3, P203, DOI [10.1038/NCLIMATE1687, 10.1038/nclimate1687]
   Henderson JD, 2020, ECOL ECON, V169, DOI 10.1016/j.ecolecon.2019.106491
   Horn KJ, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205296
   Huang J, 2011, NAT RESOUR MODEL, V24, P445, DOI 10.1111/j.1939-7445.2011.00098.x
   IPCC, 2018, GLOB WARM 1 5C SUMM
   IWG (Interagency Working Group on Social Cost of Greenhouse Gases), 2021, Technical Support Document: Social Cost of Carbon, Methane, and Nitrous Oxide: Interim Estimates under Executive Order 13990
   Janssens C, 2020, NAT CLIM CHANGE, V10, P829, DOI 10.1038/s41558-020-0847-4
   Johnston C, 2019, J FOREST ECON, V34, P47, DOI 10.1561/112.00000442
   Jones JPH, 2019, J FOREST ECON, V34, P205, DOI 10.1561/112.00000449
   Kim JB, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa63fc
   Klesse S, 2020, GLOBAL CHANGE BIOL, V26, P5146, DOI 10.1111/gcb.15170
   Lafferty DC, 2021, COMMUN EARTH ENVIRON, V2, DOI 10.1038/s43247-021-00266-9
   Landsberg JJ, 1997, FOREST ECOL MANAG, V95, P209, DOI 10.1016/S0378-1127(97)00026-1
   Lantz V., 2022, FOREST POLICY ECON, V142, P102781, DOI [10.1016/j.forpol.2022.102781, DOI 10.1016/J.FORPOL.2022.102781]
   Latta G, 2010, FOREST ECOL MANAG, V259, P720, DOI 10.1016/j.foreco.2009.09.003
   Latta GS, 2018, FOREST POLICY ECON, V87, P35, DOI 10.1016/j.forpol.2017.10.003
   Lauriks F, 2021, PLANT CELL ENVIRON, V44, P1292, DOI 10.1111/pce.13986
   O'Neill BC, 2016, GEOSCI MODEL DEV, V9, P3461, DOI 10.5194/gmd-9-3461-2016
   Phelan J., 2021, IMPACTS CLIMATE CHAN
   Pierce DW, 2016, CLIM DYNAM, V47, P411, DOI 10.1007/s00382-015-2845-1
   Reilly J, 2007, ENERG POLICY, V35, P5370, DOI 10.1016/j.enpol.2006.01.040
   Riahi K, 2017, GLOBAL ENVIRON CHANG, V42, P153, DOI 10.1016/j.gloenvcha.2016.05.009
   Romeiro JMN, 2022, FOREST ECOL MANAG, V509, DOI 10.1016/j.foreco.2022.120071
   Running S.W., 1993, Scaling physiological processes: leaf to globe, P141, DOI 10.1016/b978-0-12-233440-5.50014-2
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Sohngen B, 2001, J AGR RESOUR ECON, V26, P326
   Terrer C, 2016, SCIENCE, V353, P72, DOI 10.1126/science.aaf4610
   Thomas J, 2022, FOREST POLICY ECON, V135, DOI 10.1016/j.forpol.2021.102662
   Thomas RQ, 2017, BIOGEOSCIENCES, V14, P3525, DOI 10.5194/bg-14-3525-2017
   Thurm EA, 2018, FOREST ECOL MANAG, V430, P485, DOI 10.1016/j.foreco.2018.08.028
   Tian XH, 2018, LAND ECON, V94, P97, DOI 10.3368/le.94.1.97
   Ueyama M, 2009, AGR FOREST METEOROL, V149, P582, DOI 10.1016/j.agrformet.2008.10.011
   UNFCCC, 2021, NAT DET CONTR PAR AG
   Valin H, 2014, AGR ECON-BLACKWELL, V45, P51, DOI 10.1111/agec.12089
   Van Houtven G, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1345
   Cunha HFV, 2022, NATURE, V608, P558, DOI 10.1038/s41586-022-05085-2
   Wade CM, 2019, J FOREST, V117, P560, DOI 10.1093/jofore/fvz054
   Wade CM, 2019, J FOREST ECON, V34, P337, DOI 10.1561/112.00000503
   Wang SH, 2020, SCIENCE, V370, P1295, DOI 10.1126/science.abb7772
   Wear DN, 2019, J FOREST ECON, V34, P73, DOI 10.1561/112.00000443
   Wear DN, 2015, SCI REP-UK, V5, DOI 10.1038/srep16518
   West TAP, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112482
NR 64
TC 9
Z9 9
U1 4
U2 19
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 FEB
PY 2023
VL 147
AR 102898
DI 10.1016/j.forpol.2022.102898
EA DEC 2022
PG 17
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 8D9VL
UT WOS:000918632600001
PM 36923688
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Wang, QX
   Soksophors, Y
   Barlis, A
   Mushtaq, S
   Phanna, K
   Swaans, C
   Rodulfo, D
AF Wang, Qingxia
   Soksophors, Yim
   Barlis, Angelica
   Mushtaq, Shahbaz
   Phanna, Khieng
   Swaans, Cornelis
   Rodulfo, Danny
TI Willingness to Pay for Weather-Indexed Insurance: Evidence from
   Cambodian Rice Farmers
SO SUSTAINABILITY
LA English
DT Article
DE climate change; willingness to pay (WTP); weather-indexed insurance
   (WII); crop insurance; risk transfer
ID CLIMATE-CHANGE ADAPTATION; SMALLHOLDER FARMS; DEMAND; RISK; ADOPTION;
   MICROINSURANCE; PREFERENCES; SYSTEMS; PRODUCT; TROPICS
AB This study examines Cambodian rice farmers' willingness to pay for the weather-indexed insurance (WII) proposed to manage the financial impact of shifting monsoon rainfall patterns in Battambang Province in north-western Cambodia. Detailed interviews are conducted in the districts of Bavel and Thma Koul. We first analyse farmer respondents' socioeconomic and demographic characteristics, climate change perceptions and experience, risk attitudes, and awareness of insurance. The binary logistic model is used to identify factors that significantly impact farmers' willingness to pay (WTP) for WII. Our results show that farmers in general had lower awareness of how to use innovative financial products to adapt to extreme weather. The results also demonstrate that farmer respondents' marital status, the number of off-farm labourers, and the farm size have a positive effect, whereas the number of children in the household has a negative effect on farmers' WTP for WII. Specifically, being married, an increase of one off-farm labourer, and an increase of one hectare (ha) of farmland increase the probability of demand for WII by 38.6%, 21.4%, and 5.1%, respectively. In contrast, an increase of one child reduces the probability of WII demand by 9.7%. We also identify challenges confronted by Cambodian farmers for participating in the proposed WII scheme and provide relevant recommendations to overcome these challenges.
C1 [Wang, Qingxia; Mushtaq, Shahbaz] Univ Southern Queensland UniSQ, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia.
   [Soksophors, Yim; Phanna, Khieng] Int Inst Rural Reconstruct IIRR, Phnom Penh 12000, Cambodia.
   [Barlis, Angelica; Swaans, Cornelis] Alliance Biovers Int & CIAT ABC, Hanoi 100000, Vietnam.
   [Rodulfo, Danny] Willis Towers Watson WTW, Alternat Risk Transfer Solut, London EC3M 7DQ, England.
C3 University of Southern Queensland
RP Wang, QX (corresponding author), Univ Southern Queensland UniSQ, Ctr Appl Climate Sci, Toowoomba, Qld 4350, Australia.
EM jenny.wang2@usq.edu.au
OI Yim, Soksophors/0000-0001-7793-7019; Rodulfo, Danny/0000-0001-8477-7287
FU Australia-India Strategic Research Fund (AISRF)
FX This study was supported by the Australia-India Strategic Research Fund
   (AISRF) and De-Risk Southeast Asia project fund.
CR Abebe T.H., 2014, ASIA PACIFIC J ENERG, V1, P121, DOI [DOI 10.18034/APJEE.V1I2.216, 10.15590/apjee/2014/v1i2/53750, DOI 10.15590/APJEE/2014/V1I2/53750]
   Abugri S.A., 2017, Agriculture Food Security, V6, P71, DOI DOI 10.1186/S40066-017-0152-2
   Aditya K. S., 2020, Agricultural Economics Research Review, V33, P135, DOI 10.5958/0974-0279.2020.00027.0
   Adjabui JA, 2019, AGRIC FINANCE REV, V79, P491, DOI [10.1108/AFR-01-2019-0001, 10.1108/afr-01-2019-0001]
   Ahmed S, 2020, AM J AGR ECON, V102, P1154, DOI 10.1002/ajae.12029
   Aizaki H, 2021, PADDY WATER ENVIRON, V19, P307, DOI 10.1007/s10333-020-00838-z
   Akter S, 2017, REG ENVIRON CHANGE, V17, P2455, DOI 10.1007/s10113-017-1174-9
   Akter S, 2016, GLOBAL ENVIRON CHANG, V38, P217, DOI 10.1016/j.gloenvcha.2016.03.010
   Al-Maruf A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13158616
   [Anonymous], 2002, Logistic regression
   Barnett BJ, 2007, AM J AGR ECON, V89, P1241, DOI 10.1111/j.1467-8276.2007.01091.x
   Belissa TK, 2020, J ECON BEHAV ORGAN, V180, P718, DOI 10.1016/j.jebo.2019.07.018
   Binswanger-Mkhize HP, 2012, J DEV STUD, V48, P187, DOI 10.1080/00220388.2011.625411
   Budhathoki NK, 2019, LAND USE POLICY, V85, P1, DOI 10.1016/j.landusepol.2019.03.029
   Carter MR, 2016, J DEV ECON, V118, P59, DOI 10.1016/j.jdeveco.2015.08.008
   Chiappori PA, 2000, J POLIT ECON, V108, P56, DOI 10.1086/262111
   Clarke DJ, 2013, ENVIRON SCI POLICY, V27, pS89, DOI 10.1016/j.envsci.2012.06.005
   Clement KY, 2018, INT J DISAST RISK RE, V28, P845, DOI 10.1016/j.ijdrr.2018.01.001
   Cole S, 2013, AM ECON J-APPL ECON, V5, P104, DOI 10.1257/app.5.1.104
   Cole SA, 2017, ANNU REV ECON, V9, P235, DOI 10.1146/annurev-economics-080315-015225
   Dougherty JP, 2020, J ECON BEHAV ORGAN, V175, P155, DOI 10.1016/j.jebo.2020.04.016
   Enjolras G, 2011, AGR ECON-BLACKWELL, V42, P475, DOI 10.1111/j.1574-0862.2011.00535.x
   Falco C, 2021, ECOL ECON, V188, DOI 10.1016/j.ecolecon.2021.107115
   Fisher M, 2015, GLOBAL ENVIRON CHANG, V35, P82, DOI 10.1016/j.gloenvcha.2015.08.009
   Fonta W M., 2018, Agric Econ, V6, P1, DOI [10.1186/s40100-018-0104-6, DOI 10.1186/S40100-018-0104-6]
   Furuya J, 2021, PADDY WATER ENVIRON, V19, P319, DOI 10.1007/s10333-021-00859-2
   Gine X, 2008, WORLD BANK ECON REV, V22, P539, DOI 10.1093/wber/lhn015
   Haile KK, 2020, WORLD DEV, V130, DOI 10.1016/j.worlddev.2020.104930
   Hill R.V., 2014, GENDER AGR CLOSING K, P315, DOI [10.1007/978-94-017-8616-4, DOI 10.1007/978-94-017-8616-4_13, DOI 10.1007/978-94-017-8616]
   Hill RV, 2013, AGR ECON-BLACKWELL, V44, P385, DOI 10.1111/agec.12023
   Hossain MS, 2022, J CLEAN PROD, V338, DOI 10.1016/j.jclepro.2022.130584
   Janzen S, 2021, AM J AGR ECON, V103, P338, DOI 10.1111/ajae.12124
   Jin JJ, 2016, INT J DISAST RISK SC, V7, P366, DOI 10.1007/s13753-016-0108-3
   Jin JJ, 2015, SCI TOTAL ENVIRON, V538, P942, DOI 10.1016/j.scitotenv.2015.07.027
   Johnson L, 2019, J DEV STUD, V55, P1221, DOI 10.1080/00220388.2018.1453603
   Leblois A, 2014, ENVIRON RESOUR ECON, V57, P527, DOI 10.1007/s10640-013-9641-3
   Liu XL, 2019, INT J DISAST RISK RE, V33, P33, DOI 10.1016/j.ijdrr.2018.09.006
   Maganga AM, 2021, INT J DISAST RISK RE, V62, DOI 10.1016/j.ijdrr.2021.102406
   Matsuda A, 2019, AGR ECON-BLACKWELL, V50, P353, DOI 10.1111/agec.12489
   Menard S., 2002, APPL LOGISTIC REGRES, DOI DOI 10.4135/9781412983433
   Platteau JP, 2017, WORLD DEV, V94, P139, DOI 10.1016/j.worlddev.2017.01.010
   Sibiko KennethW., 2018, AGR FOOD SECURITY, V7, P53, DOI [DOI 10.1186/S40066-018-0200-6, 10.1186/s40066-018-0200-6, 10.1186/S40066-018-0200-6/TABLES/6]
   Stein D, 2018, WORLD BANK ECON REV, V32, P692, DOI 10.1093/wber/lhw045
   Tang YM, 2022, ENVIRON DEV SUSTAIN, V24, P1376, DOI 10.1007/s10668-021-01507-9
   Tang YM, 2021, INT J DISAST RISK SC, V12, P281, DOI 10.1007/s13753-021-00335-9
   Touch V, 2017, ENVIRON DEV SUSTAIN, V19, P1631, DOI 10.1007/s10668-016-9818-3
   Touch V, 2016, J ENVIRON MANAGE, V182, P238, DOI 10.1016/j.jenvman.2016.07.039
   Ward PS, 2020, ECON DEV CULT CHANGE, V68, P607, DOI 10.1086/700632
NR 48
TC 3
Z9 3
U1 8
U2 21
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2022
VL 14
IS 21
AR 14558
DI 10.3390/su142114558
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 6C8NH
UT WOS:000882263100001
OA gold
DA 2025-01-10
ER

PT J
AU Ajjur, SB
   Al-Ghamdi, SG
AF Ajjur, Salah Basem
   Al-Ghamdi, Sami G.
TI Exploring urban growth-climate change-flood risk nexus in fast growing
   cities
SO SCIENTIFIC REPORTS
LA English
DT Article
ID GROUNDWATER RECHARGE; LAND-USE; IMPACT; ADAPTATION
AB This study looks at the nexus between urban growth, climate change, and flood risk in Doha, Qatar, a hot-spot, climate change region that has experienced unprecedented urban growth during the last four decades. To this end, this study overviews the main stages of Doha's urban growth and influencing climatic factors during this period. A physically-based hydrological model was then built to simulate surface runoff and quantify flood risk. Finally, the Pearson correlation was used to verify the potential nexus between flood risk, climate change, and urban growth. Surveying showed that, between 1984 and 2020, urban areas grew by 777%, and bare lands decreased by 54.7%. In addition, Doha witnessed various climatic changes with a notable increase in air temperature (+ 8.7%), a decrease in surface wind speed (- 19.5%), and a decrease in potential evapotranspiration losses (- 33.5%). Growth in urban areas and the perturbation of climatic parameters caused runoff to increase by 422%, suggesting that urban growth contributed more than climatic parameters. Pearson correlation coefficient between flood risk and urban growth was strong (0.83) and significant at p < 0.05. Flood risk has a strong significant positive (negative) correlation with air temperature (wind speed) and a moderate positive (negative) correlation with precipitation (potential evapotranspiration). These results pave the way to integrate flood risk reduction measures in local urban development and climate change adaptation plans.
C1 [Ajjur, Salah Basem; Al-Ghamdi, Sami G.] Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Sustainable Dev, Doha, Qatar.
C3 Qatar Foundation (QF); Hamad Bin Khalifa University-Qatar
RP Ajjur, SB; Al-Ghamdi, SG (corresponding author), Hamad Bin Khalifa Univ, Qatar Fdn, Coll Sci & Engn, Div Sustainable Dev, Doha, Qatar.
EM saajjur@hbku.edu.qa; salghamdi@hbku.edu.qa
RI Al-Ghamdi, Sami/GPS-8949-2022; Ajjur, Salah/C-9969-2018; Al-Ghamdi,
   Sami/AAH-6959-2020
OI Ajjur, Salah/0000-0001-9099-1511; Al-Ghamdi, Sami/0000-0002-7416-5153
FU National Priorities Research Program (NPRP) from the Qatar National
   Research Fund (QNRF) [NPRP12S-0212-190073]
FX This article was funded by a National Priorities Research Program (NPRP)
   grant (NPRP12S-0212-190073) from the Qatar National Research Fund
   (QNRF), a member of Qatar Foundation (QF).
CR Ahmed F, 2018, LAND USE POLICY, V79, P496, DOI 10.1016/j.landusepol.2018.05.051
   Ajjur SB, 2021, EARTH SPACE SCI, V8, DOI 10.1029/2021EA001817
   Ajjur SB, 2021, CLIMATIC CHANGE, V166, DOI 10.1007/s10584-021-03122-z
   Al Mamoon A, 2017, NAT HAZARDS, V85, P453, DOI 10.1007/s11069-016-2576-6
   [Anonymous], 1998, IRRIGATION DRAINAGE
   Barnard PL, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-94942-7
   Barreiras N, 2019, J ARID ENVIRON, V165, P64, DOI 10.1016/j.jaridenv.2019.04.005
   Barron OV, 2013, WATER RESOUR MANAG, V27, P95, DOI 10.1007/s11269-012-0168-0
   Batelaan O, 2007, J HYDROL, V337, P337, DOI 10.1016/j.jhydrol.2007.02.001
   Burt J.A., 2014, City, V18, P760, DOI [10.1080/13604813.2014.962889, DOI 10.1080/13604813.2014.962889]
   Di Baldassarre G, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL045467
   Eccleston B.L., 1981, The Water Resources in Qatar and Their Development
   Eini M, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101687
   FloodList, 2021, QAT FLASH FLOODS YEA
   Folberth C, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11872
   Hargreaves G. H., 1985, Applied Engineering in Agriculture, V1, P96
   Hashem N., 2015, QATAR ANN GIS, V21, P233, DOI [10.1080/19475683.2014.992369, DOI 10.1080/19475683.2014.992369]
   Jaad A, 2021, CITIES, V118, DOI 10.1016/j.cities.2021.103393
   Lee Y, 2018, LAND USE POLICY, V70, P500, DOI 10.1016/j.landusepol.2017.11.019
   Poelmans L, 2010, LAND USE POLICY, V27, P965, DOI 10.1016/j.landusepol.2009.12.010
   Rizzo A, 2014, CITIES, V39, P50, DOI 10.1016/j.cities.2014.02.005
   Rizzo A, 2013, CITIES, V31, P533, DOI 10.1016/j.cities.2011.11.011
   Shandas Makido., 2017, EUR J SUSTAIN DEV RE, V1, P11, DOI DOI 10.20897/EJOSDR.201711
   Sofia G, 2017, SCI REP-UK, V7, DOI 10.1038/srep40527
   Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
   Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955
   Weatherl RK, 2021, HYDROGEOL J, V29, P2411, DOI 10.1007/s10040-021-02385-1
   World Bank, 2020, POP URB IND
   Yadav N, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-66049-y
   Yousefi S, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-75291-3
   Zhang JE, 2016, HYDROL PROCESS, V30, P2533, DOI 10.1002/hyp.10809
   Zhang YQ, 2018, WATER-SUI, V10, DOI 10.3390/w10010005
   Zomlot Z, 2017, J HYDROL, V554, P558, DOI 10.1016/j.jhydrol.2017.09.032
   Zomlot Z, 2015, J HYDROL-REG STUD, V4, P349, DOI 10.1016/j.ejrh.2015.07.005
NR 34
TC 36
Z9 39
U1 15
U2 51
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
J9 SCI REP-UK
JI Sci Rep
PD JUL 18
PY 2022
VL 12
IS 1
AR 12265
DI 10.1038/s41598-022-16475-x
PG 11
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 3A3JJ
UT WOS:000827160000057
PM 35851608
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Chen, Y
   Liang, YQ
   Zhou, H
   Wang, QZ
   Liu, YZ
AF Chen, Yong
   Liang, Yaqi
   Zhou, Hao
   Wang, Qiaozhi
   Liu, Yanzhong
TI Farmers' Adaptive Behaviors to Heavy Metal-Polluted Cultivated Land in
   Mining Areas: The Influence of Farmers' Characteristics and the
   Mediating Role of Perceptions
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
LA English
DT Article
DE farmers' adaptive behaviors; heavy metal pollution; mediating effect;
   factor analysis; hierarchical regression
ID ENVIRONMENTAL RISK PERCEPTION; CLIMATE-CHANGE ADAPTATION; RICE YIELD;
   MANAGEMENT; POLICY; SOILS; DETERMINANTS; HEALTH; CHINA; CONTAMINATION
AB Heavy metal pollution in cultivated land poses a serious threat to environmental health and farmers' livelihoods. As the direct user of cultivated land, understanding farmers' adaptive behavior to heavy metal pollution, and its influencing factors, can provide insight and information relevant for decision-making, so as to better manage the hazards and risks of heavy metal pollution. We proposed a conceptual framework of "farmers' characteristics-perceptions-adaptive behaviors". Factor analysis and mediation effect analysis were used to explore the influence of characteristics and perceptions on adaptive behaviors. The data of 278 farmers in a typical mining area in Daye, China, show that local farmers perceive the hazards of heavy metal pollution, but their adaptive behaviors are hindered to a certain extent. The results of the mediation effect analysis show that perceptions of health impact, self-efficacy, and adaptive cost play a partial mediating role in the impact of characteristics on adaptive behaviors. In addition, the influence of the "factor of dependence on farmland" and the "factor of obstacles to action" on adaptive behavior have no significant relationship with perception levels. By comparing the influencing factors, we found that although farmers' perceptions have mediating effects between characteristics and adaptive behaviors, characteristics still play a decisive role in adaptive behaviors.
C1 [Chen, Yong; Liang, Yaqi; Zhou, Hao; Wang, Qiaozhi; Liu, Yanzhong] Wuhan Univ Sci & Technol, Coll Resource & Environm Engn, 947 Heping Ave, Wuhan 430080, Peoples R China.
   [Chen, Yong; Liang, Yaqi; Zhou, Hao; Wang, Qiaozhi; Liu, Yanzhong] Natl Key Lab Environm Protect Min & Met Resource, Wuhan 430080, Peoples R China.
   [Chen, Yong] Hubei Prov Key Lab Efficient Utilizat & Agglomera, Wuhan 430080, Peoples R China.
C3 Wuhan University of Science & Technology
RP Zhou, H (corresponding author), Wuhan Univ Sci & Technol, Coll Resource & Environm Engn, 947 Heping Ave, Wuhan 430080, Peoples R China.; Zhou, H (corresponding author), Natl Key Lab Environm Protect Min & Met Resource, Wuhan 430080, Peoples R China.
EM chenyong68@wust.edu.cn; lyq1791933149@163.com; areshao1210@foxmail.com;
   wangqiaozhi@wust.edu.cn; liuyanzhong@wust.edu.cn
RI Hao, Zhou/KBQ-3873-2024
OI Wang, Qiaozhi/0000-0003-4627-8510; Zhou, Hao/0000-0003-1635-1764
FU National Natural Science Foundation of China [41971237]; National Key
   Laboratory of Environmental Protection Mining and Metallurgy Resource
   Utilization and Pollution Control Open Fund [HB201916]
FX This research was funded by the National Natural Science Foundation of
   China [grant number: 41971237], and the National Key Laboratory of
   Environmental Protection Mining and Metallurgy Resource Utilization and
   Pollution Control Open Fund [grant number: HB201916].
CR Abid M, 2019, ENVIRON MANAGE, V63, P110, DOI 10.1007/s00267-018-1113-7
   Akcaoz H, 2005, J ARID ENVIRON, V62, P661, DOI 10.1016/j.jaridenv.2005.01.018
   [Anonymous], 2011, COPING GLOBAL ENV CH
   [Anonymous], MEP NATL SOIL CONTAM
   BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173
   Berry PM, 2006, ENVIRON SCI POLICY, V9, P189, DOI 10.1016/j.envsci.2005.11.004
   Bohensky EL, 2013, NAT CLIM CHANGE, V3, P348, DOI [10.1038/NCLIMATE1762, 10.1038/nclimate1762]
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Chen HM, 1999, AMBIO, V28, P130
   Chen JS, 2016, SOC INDIC RES, V129, P277, DOI 10.1007/s11205-015-1102-7
   Chen X, 2020, J ECON AGEING, V15, DOI 10.1016/j.jeoa.2019.100233
   Deng W, 2020, CHINESE GEOGR SCI, V30, P749, DOI 10.1007/s11769-020-1147-7
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Du P, 2015, ENVIRON SCI POLLUT R, V22, P3498, DOI 10.1007/s11356-014-3532-1
   DYER DD, 1980, J AM STAT ASSOC, V75, P313, DOI 10.2307/2287450
   DZIUBAN CD, 1974, PSYCHOL BULL, V81, P358, DOI 10.1037/h0036316
   Eriksen S., 2009, IHDP UPDATE, P40
   FAN SG, 1991, AM J AGR ECON, V73, P266, DOI 10.2307/1242711
   Funk C, 2020, J ENVIRON MANAGE, V259, DOI 10.1016/j.jenvman.2019.109702
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guo R, 2021, J CLEAN PROD, V287, DOI 10.1016/j.jclepro.2020.125332
   He B, 2013, CHINESE SCI BULL, V58, P134, DOI 10.1007/s11434-012-5541-0
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   HOSKIN RE, 1983, J ACCOUNTING RES, V21, P78, DOI 10.2307/2490937
   Hu BF, 2020, ENVIRON POLLUT, V266, DOI 10.1016/j.envpol.2020.114961
   Hu RH, 2010, MINERAL RESOURCES SCIENCE IN CHINA: A ROADMAP TO 2050, P1
   Huang JK, 2015, AM J AGR ECON, V97, P602, DOI 10.1093/ajae/aav005
   Islam AMT, 2021, ENVIRON DEV SUSTAIN, V23, P2439, DOI 10.1007/s10668-020-00681-6
   Janmaimool P, 2014, INT J ENV RES PUB HE, V11, P6291, DOI 10.3390/ijerph110606291
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Li Q, 1998, J ECONOMETRICS, V87, P145, DOI 10.1016/S0304-4076(98)00011-6
   Li ZY, 2014, SCI TOTAL ENVIRON, V468, P843, DOI 10.1016/j.scitotenv.2013.08.090
   Liu HB, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061905
   Liu K, 2018, LAND DEGRAD DEV, V29, P2460, DOI 10.1002/ldr.3011
   Liu XY, 2019, NAT HAZARDS, V99, P1163, DOI 10.1007/s11069-019-03771-5
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   MacKinnon D., 2012, INTRO STAT MEDIATION
   Manalo JA, 2020, INT J AGR SUSTAIN, V18, P594, DOI 10.1080/14735903.2020.1807301
   Maya KA, 2019, CLIM CHANG ECON, V10, DOI 10.1142/S201000781950012X
   Menapace L, 2015, GLOBAL ENVIRON CHANG, V35, P70, DOI 10.1016/j.gloenvcha.2015.07.005
   Nabulo G, 2010, SCI TOTAL ENVIRON, V408, P5338, DOI 10.1016/j.scitotenv.2010.06.034
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Ono K, 2017, INT J HYDROGEN ENERG, V42, P10697, DOI 10.1016/j.ijhydene.2017.03.021
   Pan D, 2020, J CLEAN PROD, V276, DOI 10.1016/j.jclepro.2020.124241
   Preacher KJ, 2007, MULTIVAR BEHAV RES, V42, P185, DOI 10.1080/00273170701341316
   Qi W, 2021, J GEOGR SCI, V31, P215, DOI 10.1007/s11442-021-1843-y
   Qin GW, 2021, CHEMOSPHERE, V267, DOI 10.1016/j.chemosphere.2020.129205
   Quan SP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071928
   Raza MH, 2019, J CLEAN PROD, V227, P613, DOI 10.1016/j.jclepro.2019.04.244
   Shi XM, 2019, J CLEAN PROD, V240, DOI 10.1016/j.jclepro.2019.118275
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175
   Stringer LC, 2009, ENVIRON SCI POLICY, V12, P748, DOI 10.1016/j.envsci.2009.04.002
   Sullivan-Wiley KA, 2017, WORLD DEV, V97, P138, DOI 10.1016/j.worlddev.2017.04.002
   Toma L, 2007, J ENVIRON MANAGE, V83, P145, DOI 10.1016/j.jenvman.2006.02.004
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Wachinger G, 2013, RISK ANAL, V33, P1049, DOI 10.1111/j.1539-6924.2012.01942.x
   Wang QYD, 2001, SOIL SEDIMENT CONTAM, V10, P497, DOI 10.1080/20015891109392
   Xie HL, 2018, LAND USE POLICY, V71, P86, DOI 10.1016/j.landusepol.2017.11.050
   Yang HY, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11100905
   Yang J, 2018, J INT MED RES, V46, P3374, DOI 10.1177/0300060518758585
   Yu ZN, 2019, J CLEAN PROD, V210, P287, DOI 10.1016/j.jclepro.2018.10.314
   Zhai SY, 2018, J INTEGR AGR, V17, P949, DOI 10.1016/S2095-3119(17)61753-2
   Zhang B, 2017, BRIT FOOD J, V119, P1216, DOI [10.1108/bfj-08-2016-0378, 10.1108/BFJ-08-2016-0378]
   Zhao C, 2021, SCI TOTAL ENVIRON, V774, DOI 10.1016/j.scitotenv.2021.145765
   Zheng SN, 2020, FOOD CHEM, V316, DOI 10.1016/j.foodchem.2020.126213
NR 68
TC 5
Z9 6
U1 5
U2 42
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 JUN
PY 2022
VL 19
IS 11
AR 6718
DI 10.3390/ijerph19116718
PG 17
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 1Z2FL
UT WOS:000808646400001
PM 35682308
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Shaver, EC
   McLeod, E
   Hein, MY
   Palumbi, SR
   Quigley, K
   Vardi, T
   Mumby, PJ
   Smith, D
   Montoya-Maya, P
   Muller, EM
   Banaszak, AT
   McLeod, IM
   Wachenfeld, D
AF Shaver, Elizabeth C.
   McLeod, Elizabeth
   Hein, Margaux Y.
   Palumbi, Stephen R.
   Quigley, Kate
   Vardi, Tali
   Mumby, Peter J.
   Smith, David
   Montoya-Maya, Phanor
   Muller, Erinn M.
   Banaszak, Anastazia T.
   McLeod, Ian M.
   Wachenfeld, David
TI A roadmap to integrating resilience into the practice of coral reef
   restoration
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change adaptation; coral bleaching; coral reefs; resilience;
   resilience-based management; restoration
ID EL-NINO; SOCIAL RESILIENCE; SPECIES RICHNESS; MANAGEMENT; DIVERSITY;
   CLIMATE; WINNERS; FUTURE; CONNECTIVITY; IMPACT
AB Recent warm temperatures driven by climate change have caused mass coral bleaching and mortality across the world, prompting managers, policymakers, and conservation practitioners to embrace restoration as a strategy to sustain coral reefs. Despite a proliferation of new coral reef restoration efforts globally and increasing scientific recognition and research on interventions aimed at supporting reef resilience to climate impacts, few restoration programs are currently incorporating climate change and resilience in project design. As climate change will continue to degrade coral reefs for decades to come, guidance is needed to support managers and restoration practitioners to conduct restoration that promotes resilience through enhanced coral reef recovery, resistance, and adaptation. Here, we address this critical implementation gap by providing recommendations that integrate resilience principles into restoration design and practice, including for project planning and design, coral selection, site selection, and broader ecosystem context. We also discuss future opportunities to improve restoration methods to support enhanced outcomes for coral reefs in response to climate change. As coral reefs are one of the most vulnerable ecosystems to climate change, interventions that enhance reef resilience will help to ensure restoration efforts have a greater chance of success in a warming world. They are also more likely to provide essential contributions to global targets to protect natural biodiversity and the human communities that rely on reefs.
C1 [Shaver, Elizabeth C.; McLeod, Elizabeth] Nature Conservancy, 4245 N Fairfax Blvd 100, Arlington, VA 22203 USA.
   [Hein, Margaux Y.] Marine Ecosyst Restorat Res & Consulting, Monaco, Monaco.
   [Palumbi, Stephen R.] Stanford Univ, Pacific Grove, CA USA.
   [Quigley, Kate] Minderoo Fdn, Perth, WA, Australia.
   [Vardi, Tali] ECS NOAA Fisheries Off Sci & Technol, Silver Spring, MD USA.
   [Mumby, Peter J.] Univ Queensland, Sch Biol Sci, Marine Spatial Ecol Lab, St Lucia, Qld, Australia.
   [Smith, David] Sch Life Sci, Coral Reef Res Unit, Colchester, Essex, England.
   [Smith, David] Mars Inc, London, England.
   [Montoya-Maya, Phanor] Corales Paz, Cali, Colombia.
   [Muller, Erinn M.] Mote Marine Lab, Sarasota, FL USA.
   [Banaszak, Anastazia T.] Univ Nacl Autonoma Mexico, Puerto Morelos, Quintana Roo, Mexico.
   [McLeod, Ian M.] James Cook Univ, Ctr Trop Water & Aquat Ecosyst Res, TropWATER, Townsville, Qld, Australia.
   [Wachenfeld, David] Great Barrier Reef Marine Pk Authority, Townsville, Qld, Australia.
C3 Nature Conservancy; Stanford University; Minderoo Foundation; University
   of Queensland; Mars; Mote Marine Laboratory & Aquarium; Universidad
   Nacional Autonoma de Mexico; James Cook University
RP Shaver, EC (corresponding author), Nature Conservancy, 4245 N Fairfax Blvd 100, Arlington, VA 22203 USA.
EM elizabeth.shaver@tnc.org
RI Mumby, Peter/F-9914-2010; Mumby, Peter/LIH-2812-2024; Banaszak,
   Anastazia Teresa/H-6362-2019; McLeod, Ian/J-9062-2014
OI Mumby, Peter/0000-0002-6297-9053; Banaszak, Anastazia
   Teresa/0000-0002-6667-3983; Smith, David/0000-0003-1886-8193; Quigley,
   Kate/0000-0001-5558-1904; McLeod, Ian/0000-0001-5375-4402; Shaver,
   Elizabeth/0000-0002-9039-372X; Muller, Erinn/0000-0002-2695-2064
CR [Anonymous], 2019, A Research Review of Interventions to Increase the Persistence and Resilience of Coral Reefs, DOI [10.17226/25279, DOI 10.17226/25279]
   [Anonymous], 2004, The SER International Primer on Ecological Restoration
   Anthony K, 2017, NAT ECOL EVOL, V1, P1420, DOI 10.1038/s41559-017-0313-5
   Anthony KRN, 2015, GLOBAL CHANGE BIOL, V21, P48, DOI 10.1111/gcb.12700
   Aronson RB., 2008, IUCN RED LIST THREAT
   Baker AC, 2003, ANNU REV ECOL EVOL S, V34, P661, DOI 10.1146/annurev.ecolsys.34.011802.132417
   Barott KL, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2025435118
   Baums IB, 2019, ECOL APPL, V29, DOI 10.1002/eap.1978
   Bay L., 2019, Reef Restoration and Adaptation Program: Intervention Summary
   Bay RA, 2017, ECOL EVOL, V7, P4794, DOI 10.1002/ece3.2685
   Berkes F, 2005, ECOSYSTEMS, V8, P967, DOI 10.1007/s10021-005-0140-4
   Beyer HL, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12587
   Biggs BC, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0064945
   Biggs R, 2012, ANNU REV ENV RESOUR, V37, P421, DOI 10.1146/annurev-environ-051211-123836
   BOSTROMEINARSSO.L, 2020, PLOS ONE, V15, DOI DOI 10.1371/JOURNAL.PONE.0226631
   Brainard RE, 2018, B AM METEOROL SOC, V99, pS21, DOI 10.1175/BAMS-D-17-0128.1
   Burkepile DE, 2008, P NATL ACAD SCI USA, V105, P16201, DOI 10.1073/pnas.0801946105
   Carilli JE, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006324
   Carlson RR, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00562
   Ceccarelli DM, 2020, PLOS ONE, V15, DOI 10.1371/journal.pone.0240846
   Ceccarelli DM, 2018, RESTOR ECOL, V26, P827, DOI 10.1111/rec.12852
   Cheal AJ, 2017, GLOBAL CHANGE BIOL, V23, P1511, DOI 10.1111/gcb.13593
   Cheung MWM, 2021, CURR BIOL, V31, P5385, DOI 10.1016/j.cub.2021.09.078
   Chollett I, 2022, GLOBAL CHANGE BIOL, V28, P4054, DOI 10.1111/gcb.16167
   Cinner JE, 2012, P NATL ACAD SCI USA, V109, P5219, DOI 10.1073/pnas.1121215109
   Conklin EJ, 2005, BIOL INVASIONS, V7, P1029, DOI 10.1007/s10530-004-3125-x
   Cornwell B, 2021, ELIFE, V10, DOI 10.7554/eLife.64790
   Dixon GB, 2015, SCIENCE, V348, P1460, DOI 10.1126/science.1261224
   Donovan MK, 2020, P NATL ACAD SCI USA, V117, P5351, DOI 10.1073/pnas.1915395117
   Downing AL, 2010, FRESHWATER BIOL, V55, P2123, DOI 10.1111/j.1365-2427.2010.02472.x
   Dziedzic KE, 2019, MOL ECOL, V28, P2238, DOI 10.1111/mec.15081
   Eakin CM, 2019, CORAL REEFS, V38, P539, DOI 10.1007/s00338-019-01844-2
   Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.2307/3868116
   Fine M, 2013, GLOBAL CHANGE BIOL, V19, P3640, DOI 10.1111/gcb.12356
   Folke C, 2010, ECOL SOC, V15
   Fox H, 2018, ECOL RESTOR, V36, P208, DOI 10.3368/er.36.3.208
   Frys C, 2020, FRONT MAR SCI, V7, DOI 10.3389/fmars.2020.00312
   Gann GD, 2019, RESTOR ECOL, V27, pS3, DOI 10.1111/rec.13035
   Gardner SG, 2019, ECOL EVOL, V9, P938, DOI 10.1002/ece3.4662
   Gibbs DA, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0253343
   Gordon TAC, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13186-2
   Grottoli AG, 2014, GLOBAL CHANGE BIOL, V20, P3823, DOI 10.1111/gcb.12658
   Guannel G, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0158094
   Hein MY, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.618303
   Hein MY, 2019, BIOL CONSERV, V229, P14, DOI 10.1016/j.biocon.2018.11.014
   Heyward AJ, 1999, CORAL REEFS, V18, P273, DOI 10.1007/s003380050193
   Hock K, 2017, PLOS BIOL, V15, DOI 10.1371/journal.pbio.2003355
   Hughes TP, 2017, NATURE, V543, P373, DOI 10.1038/nature21707
   Keck M, 2013, ERDKUNDE, V67, P5, DOI 10.3112/erdkunde.2013.01.02
   Kittinger JN, 2016, REG ENVIRON CHANGE, V16, P301, DOI 10.1007/s10113-013-0572-x
   Kleypas J, 2021, BIOL CONSERV, V257, DOI 10.1016/j.biocon.2021.109107
   Knowlton N., 2021, Rebuilding Coral Reefs: A Decadal Grand Challenge
   Ladd MC, 2018, FRONT ECOL ENVIRON, V16, P239, DOI 10.1002/fee.1792
   Lillis A, 2016, PEERJ, V4, DOI 10.7717/peerj.2557
   Loya Y, 2001, ECOL LETT, V4, P122, DOI 10.1046/j.1461-0248.2001.00203.x
   Magris RA, 2016, ECOGRAPHY, V39, P649, DOI 10.1111/ecog.01507
   Manzello DP, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041715
   Marshall NA, 2007, RURAL SOCIOL, V72, P359, DOI 10.1526/003601107781799254
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McClanahan TR, 2008, CONSERV LETT, V1, P53, DOI 10.1111/j.1755-263X.2008.00008_1.x
   McLeod E, 2021, J ENVIRON MANAGE, V277, DOI 10.1016/j.jenvman.2020.111384
   Mcleod E, 2019, J ENVIRON MANAGE, V233, P291, DOI 10.1016/j.jenvman.2018.11.034
   McLeod E, 2012, COAST MANAGE, V40, P651, DOI 10.1080/08920753.2012.728123
   McLeod E, 2009, FRONT ECOL ENVIRON, V7, P362, DOI 10.1890/070211
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Mies M, 2017, REV FISH SCI AQUAC, V25, P286, DOI 10.1080/23308249.2017.1285864
   Milbrandt EC, 2015, ECOL ENG, V83, P394, DOI 10.1016/j.ecoleng.2015.06.043
   Morikawa MK, 2019, P NATL ACAD SCI USA, V116, P10586, DOI 10.1073/pnas.1721415116
   Muller EM, 2021, P ROY SOC B-BIOL SCI, V288, DOI 10.1098/rspb.2021.0923
   Muller EM, 2018, ELIFE, V7, DOI 10.7554/eLife.35066
   Mumby PJ, 2008, J APPL ECOL, V45, P854, DOI 10.1111/j.1365-2664.2008.01459.x
   Mumby PJ, 2021, LIMNOL OCEANOGR-METH, V19, P702, DOI 10.1002/lom3.10455
   Mumby PJ, 2021, CONSERV BIOL, V35, P1473, DOI 10.1111/cobi.13738
   Mumby PJ, 2011, ECOL LETT, V14, P132, DOI 10.1111/j.1461-0248.2010.01562.x
   Neil RC, 2021, AQUACULTURE, V544, DOI 10.1016/j.aquaculture.2021.737095
   Neilson BJ, 2018, PEERJ, V6, DOI 10.7717/peerj.5332
   Nyström M, 2008, CORAL REEFS, V27, P795, DOI 10.1007/s00338-008-0426-z
   Oliver TA, 2011, CORAL REEFS, V30, P429, DOI 10.1007/s00338-011-0721-y
   Palumbi SR, 2014, SCIENCE, V344, P895, DOI 10.1126/science.1251336
   Quigley KM, 2020, BIOL OPEN, V9, DOI 10.1242/bio.047316
   Quigley KM, 2022, CONSERV BIOL, V36, DOI 10.1111/cobi.13890
   Quigley KM, 2019, ECOL EVOL, V9, P11122, DOI 10.1002/ece3.5616
   QUIGLEY KM, 2021, FRONT MAR SCI, V8
   Randall CJ, 2020, ECOLOGY, V101, DOI 10.1002/ecy.2918
   Randall CJ, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-51072-5
   Rogers A, 2019, PLOS BIOL, V17, DOI 10.1371/journal.pbio.3000510
   Schill SR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0144199
   Shantz AA, 2020, ECOL MONOGR, V90, DOI 10.1002/ecm.1403
   Shaver E.C., 2020, NOAA Technical Memorandum CRCP, V36, P128, DOI DOI 10.25923/VHT9-TV39
   Shaver EC, 2018, NAT ECOL EVOL, V2, P1075, DOI 10.1038/s41559-018-0589-0
   Shaver EC, 2017, PEERJ, V5, DOI 10.7717/peerj.3499
   Shearer TL, 2009, CORAL REEFS, V28, P727, DOI 10.1007/s00338-009-0520-x
   Souter D., 2021, Status of Coral Reefs of the World: 2020
   Spadaro AJ, 2021, CURR BIOL, V31, P853, DOI 10.1016/j.cub.2020.10.097
   Suggett DJ, 2022, EMERG TOP LIFE SCI, DOI 10.1042/ETLS20210240
   Thomas Luke, 2018, Frontiers in Marine Science, V4, P434
   Thurber RLV, 2014, GLOBAL CHANGE BIOL, V20, P544, DOI 10.1111/gcb.12450
   Torda G., 2021, BIORXIV, DOI 10.1101/2021.02.25.432972
   van de Koppel J, 2015, ANNU REV MAR SCI, V7, P139, DOI 10.1146/annurev-marine-010814-015805
   van Nes EH, 2005, ECOLOGY, V86, P1797, DOI 10.1890/04-0550
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   van Woesik R, 2011, MAR ECOL PROG SER, V434, P67, DOI 10.3354/meps09203
   Vardi T., 2020, NOAA TECHNICAL MEMOR
   Vardi T, 2021, RESTOR ECOL, V29, DOI 10.1111/rec.13498
   Vargas-Angel B, 2019, CORAL REEFS, V38, P731, DOI 10.1007/s00338-019-01838-0
   Veron John E.N., 2011, P275
   Vogel A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036992
   Voolstra CR, 2020, GLOBAL CHANGE BIOL, V26, P4328, DOI 10.1111/gcb.15148
   Walsworth TE, 2019, NAT CLIM CHANGE, V9, P632, DOI 10.1038/s41558-019-0518-5
   Wear SL, 2015, ANN NY ACAD SCI, V1355, P15, DOI 10.1111/nyas.12785
   West JM, 2018, ENVIRON MANAGE, V62, P644, DOI 10.1007/s00267-018-1065-y
   Williams SM, 2022, RESTOR ECOL, V30, DOI 10.1111/rec.13475
   Young CN, 2012, B MAR SCI, V88, P1075, DOI 10.5343/bms.2011.1143
NR 114
TC 37
Z9 42
U1 17
U2 109
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 AUG
PY 2022
VL 28
IS 16
BP 4751
EP 4764
DI 10.1111/gcb.16212
EA MAY 2022
PG 14
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA 2W1IQ
UT WOS:000797559900001
PM 35451154
OA Green Accepted, Green Published
DA 2025-01-10
ER

PT J
AU Eriksson, M
   Rafajlovic, M
AF Eriksson, Martin
   Rafajlovic, Marina
TI The role of phenotypic plasticity in the establishment of range margins
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE cost of plasticity; critical environmental gradient; range limits;
   environmental fluctuations; genetic canalization; climate change
   adaptation
ID CLIMATE-CHANGE; GENETIC DIFFERENTIATION; ADAPTIVE EVOLUTION; LOCAL
   ADAPTATION; LIMITS; RESPONSES; SELECTION; COSTS; ENVIRONMENT;
   POPULATIONS
AB It has been argued that adaptive phenotypic plasticity may facilitate range expansions over spatially and temporally variable environments. However, plasticity may induce fitness costs. This may hinder the evolution of plasticity. Earlier modelling studies examined the role of plasticity during range expansions of populations with fixed genetic variance. However, genetic variance evolves in natural populations. This may critically alter model outcomes. We ask: how does the capacity for plasticity in populations with evolving genetic variance alter range margins that populations without the capacity for plasticity are expected to attain? We answered this question using computer simulations and analytical approximations. We found a critical plasticity cost above which the capacity for plasticity has no impact on the expected range of the population. Below the critical cost, by contrast, plasticity facilitates range expansion, extending the range in comparison to that expected for populations without plasticity. We further found that populations may evolve plasticity to buffer temporal environmental fluctuations, but only when the plasticity cost is below the critical cost. Thus, the cost of plasticity is a key factor involved in range expansions of populations with the potential to express plastic response in the adaptive trait. This article is part of the theme issue 'Species' ranges in the face of changing environments (part I)'.
C1 [Eriksson, Martin; Rafajlovic, Marina] Univ Gothenburg, Dept Marine Sci, Gothenburg, Sweden.
   [Eriksson, Martin; Rafajlovic, Marina] Univ Gothenburg, Linnaeus Ctr Marine Evolutionary Biol, Gothenburg, Sweden.
   [Eriksson, Martin] Univ Gothenburg, Gothenburg Global Biodivers Ctr, Gothenburg, Sweden.
C3 University of Gothenburg; University of Gothenburg; University of
   Gothenburg
RP Rafajlovic, M (corresponding author), Univ Gothenburg, Dept Marine Sci, Gothenburg, Sweden.; Rafajlovic, M (corresponding author), Univ Gothenburg, Linnaeus Ctr Marine Evolutionary Biol, Gothenburg, Sweden.
EM marina.rafajlovic@marine.gu.se
RI Eriksson, Martin/AAU-7484-2021; Rafajlovic, Marina/ABB-8142-2021
OI Rafajlovic, Marina/0000-0003-2177-4622; Eriksson,
   Martin/0000-0001-5151-013X
FU Hasselblad Foundation Grant; Swedish Research Council Formas
   [2019-00882]; Swedish Research Council (Formas); Swedish Research
   Council (V.R); Swedish Research Council [2018-05973]; Formas
   [2019-00882] Funding Source: Formas
FX This work was supported by the Hasselblad Foundation Grant to Female
   Scientists awarded to M.R., by a grant from the Swedish Research Council
   Formas to M.R. (grant no. 2019-00882), and it was additionally supported
   by grants from Swedish Research Councils (Formas and V.R.) to the CeMEB
   (https://www.gu.se/en/cemeb-marine-evolutionary-biology).The simulations
   were enabled by resources provided by the Swedish National
   Infrastructure for Computing (SNIC) at the National Supercomputing
   Centre (NSC) at the University of Linkoping and at Chalmers Centre for
   Computational Science and Engineering (C3SE) at Chalmers University of
   Technology, partially funded by the Swedish Research Council through
   grant agreement no. 2018-05973.
CR [Anonymous], 1980, The Mathematical Theory of Quantitative Genetics
   [Anonymous], AM J MED SCI, DOI [DOI 10.1007/s11270-007-9372-6, DOI 10.1016/J.AMJMS.2021.03.001,00089-6]
   Arnold PA, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0185
   Auld JR, 2010, P ROY SOC B-BIOL SCI, V277, P503, DOI 10.1098/rspb.2009.1355
   Barton N. H., 2001, INTEGRATING ECOLOGY, P365, DOI DOI 10.1016/j.ecolmodel.2011.02.011
   Bridle JR, 2007, TRENDS ECOL EVOL, V22, P140, DOI 10.1016/j.tree.2006.11.002
   Bridle JR, 2019, EVOL APPL, V12, P1449, DOI 10.1111/eva.12789
   BURGER R, 1995, EVOLUTION, V49, P151, DOI 10.1111/j.1558-5646.1995.tb05967.x
   Carbonell JA, 2017, J INSECT PHYSIOL, V98, P59, DOI 10.1016/j.jinsphys.2016.11.015
   Chevin LM, 2011, J EVOLUTION BIOL, V24, P1462, DOI 10.1111/j.1420-9101.2011.02279.x
   Chevin LM, 2017, AM NAT, V190, P786, DOI 10.1086/694121
   Chevin LM, 2017, PHILOS T R SOC B, V372, DOI 10.1098/rstb.2016.0138
   Chevin LM, 2010, PLOS BIOL, V8, DOI 10.1371/journal.pbio.1000357
   Chown SL, 2007, P ROY SOC B-BIOL SCI, V274, P2531, DOI 10.1098/rspb.2007.0772
   Coulson T, 2017, AM NAT, V190, P313, DOI 10.1086/692542
   Davidson AM, 2011, ECOL LETT, V14, P419, DOI 10.1111/j.1461-0248.2011.01596.x
   De Jong G, 1999, J EVOLUTION BIOL, V12, P839, DOI 10.1046/j.1420-9101.1999.00118.x
   DeWitt TJ, 1998, TRENDS ECOL EVOL, V13, P77, DOI 10.1016/S0169-5347(97)01274-3
   Diamond SarahE., 2021, Phenotypic Plasticity, P185
   Enbody ED, 2021, P NATL ACAD SCI USA, V118, DOI 10.1073/pnas.2022620118
   Eriksson A, 2013, THEOR POPUL BIOL, V83, P101, DOI 10.1016/j.tpb.2012.08.001
   Eriksson M., 2022, DRYAD DIGITAL REPOSI, DOI [10.5061/dryad.zw3r22880, DOI 10.5061/DRYAD.ZW3R22880]
   Eriksson M, 2021, AM NAT, V197, P526, DOI 10.1086/713669
   Falaschi M, 2020, HERPETOLOGICA, V76, P216, DOI 10.1655/0018-0831-76.2.216
   Fouqueau L, 2021, EVOLUTION, V75, P1334, DOI 10.1111/evo.14237
   Fox RJ, 2019, PHILOS T R SOC B, V374, DOI 10.1098/rstb.2018.0174
   Gabriel W, 2005, J EVOLUTION BIOL, V18, P873, DOI 10.1111/j.1420-9101.2005.00959.x
   GAVRILETS S, 1993, J EVOLUTION BIOL, V6, P31, DOI 10.1046/j.1420-9101.1993.6010031.x
   Geng YP, 2007, BIOL INVASIONS, V9, P245, DOI 10.1007/s10530-006-9029-1
   Ghalambor CK, 2007, FUNCT ECOL, V21, P394, DOI 10.1111/j.1365-2435.2007.01283.x
   Ghalambor CK, 2015, NATURE, V525, P372, DOI 10.1038/nature15256
   Gibbin EM, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17554-0
   Gibert P, 2019, CURR OPIN INSECT SCI, V35, P34, DOI 10.1016/j.cois.2019.06.007
   Hastings RA, 2020, CURR BIOL, V30, P1572, DOI 10.1016/j.cub.2020.02.043
   Holman LE, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0025
   Johansson D, 2017, BMC ECOL, V17, DOI 10.1186/s12898-017-0124-1
   Kellermann V, 2020, AM NAT, V196, P306, DOI 10.1086/710006
   King JG, 2019, EVOL LETT, V3, P15, DOI 10.1002/evl3.100
   Kirkpatrick M, 1997, AM NAT, V150, P1, DOI 10.1086/286054
   Lande R, 2014, J EVOLUTION BIOL, V27, P866, DOI 10.1111/jeb.12360
   Lande R, 2009, J EVOLUTION BIOL, V22, P1435, DOI 10.1111/j.1420-9101.2009.01754.x
   Lande R, 2015, MOL ECOL, V24, P2038, DOI 10.1111/mec.13037
   Leimar O, 2019, AM NAT, V193, P70, DOI 10.1086/700719
   Lenormand T, 2000, GENETICS, V156, P423
   Leonard AM, 2020, BMC EVOL BIOL, V20, DOI 10.1186/s12862-020-1589-7
   Leung C, 2020, ECOL LETT, V23, P1664, DOI 10.1111/ele.13598
   Maccagni A, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0005
   Macic V, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00178
   Murren CJ, 2015, HEREDITY, V115, P293, DOI 10.1038/hdy.2015.8
   Noer NK, 2022, PHILOS T R SOC B, V377, DOI 10.1098/rstb.2021.0004
   O'Hara CC, 2021, SCIENCE, V372, P84, DOI 10.1126/science.abe6731
   Pazzaglia J, 2021, EVOL APPL, V14, P1181, DOI 10.1111/eva.13212
   Peck JR, 1998, NATURE, V391, P889, DOI 10.1038/36099
   Pigliucci M, 1997, J ECOL, V85, P265, DOI 10.2307/2960500
   Pinsky ML, 2020, ANNU REV MAR SCI, V12, P153, DOI 10.1146/annurev-marine-010419-010916
   Polechová J, 2015, P NATL ACAD SCI USA, V112, P6401, DOI 10.1073/pnas.1421515112
   PULLIAM HR, 1988, AM NAT, V132, P652, DOI 10.1086/284880
   Rathee S, 2021, ENVIRON EXP BOT, V184, DOI 10.1016/j.envexpbot.2021.104392
   Ren GQ, 2020, PLANT SPEC BIOL, V35, P283, DOI 10.1111/1442-1984.12280
   Scheiner SM, 2020, EVOL APPL, V13, P388, DOI 10.1111/eva.12876
   Scheiner SM, 2018, EVOLUTION, V72, P2292, DOI 10.1111/evo.13601
   Scheiner SM, 2017, ECOL EVOL, V7, P8788, DOI 10.1002/ece3.3429
   Scheiner SM, 2016, AM NAT, V187, P633, DOI 10.1086/685812
   Scheiner SM, 1998, J EVOLUTION BIOL, V11, P303, DOI 10.1007/s000360050090
   Schmid M, 2019, AM NAT, V193, P798, DOI 10.1086/703171
   Sexton JP, 2009, ANNU REV ECOL EVOL S, V40, P415, DOI 10.1146/annurev.ecolsys.110308.120317
   Sgrò CM, 2016, ANNU REV ENTOMOL, V61, P433, DOI 10.1146/annurev-ento-010715-023859
   Sippel S, 2020, NAT CLIM CHANGE, V10, P35, DOI 10.1038/s41558-019-0666-7
   SLATKIN M, 1973, GENETICS, V75, P733
   Storz JF, 2021, COMP BIOCHEM PHYS A, V253, DOI 10.1016/j.cbpa.2020.110865
   Tufto J, 2000, AM NAT, V156, P121, DOI 10.1086/303381
   Tufto J, 2015, EVOLUTION, V69, P2034, DOI 10.1111/evo.12716
   Valenzuela N, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-40597-4
   Van Buskirk J, 2009, J EVOLUTION BIOL, V22, P852, DOI 10.1111/j.1420-9101.2009.01685.x
   Van Buskirk J, 2017, EVOLUTION, V71, P1670, DOI 10.1111/evo.13236
   Van Oppen MJH, 2017, GLOBAL CHANGE BIOL, V23, P3437, DOI 10.1111/gcb.13647
   van Oppen MJH, 2015, P NATL ACAD SCI USA, V112, P2307, DOI 10.1073/pnas.1422301112
   VIA S, 1985, EVOLUTION, V39, P505, DOI [10.2307/2408649, 10.1111/j.1558-5646.1985.tb00391.x]
   Walter GM., 2020, HIDDEN GENETIC VARIA
   Walter GM., 2021, PLASTICITY NOVEL ENV
   Wang SP, 2019, EVOLUTION, V73, P303, DOI 10.1111/evo.13676
   Wright S, 1943, GENETICS, V28, P114
   Xue Q, 2020, J INSECT PHYSIOL, V121, DOI 10.1016/j.jinsphys.2020.104016
   Yan HF, 2021, SCI ADV, V7, DOI 10.1126/sciadv.abb6026
   Zenni RD, 2014, BIOL INVASIONS, V16, P635, DOI 10.1007/s10530-013-0607-8
NR 85
TC 17
Z9 17
U1 0
U2 29
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 MAR 14
PY 2022
VL 377
IS 1846
AR 20210012
DI 10.1098/rstb.2021.0012
PG 12
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA YL4HV
UT WOS:000745854300004
PM 35067091
OA Green Submitted, Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Davenport, MA
   Kreiter, A
   Brauman, KA
   Keeler, B
   Arbuckle, J
   Sharma, V
   Pradhananga, A
   Noe, R
AF Davenport, Mae A.
   Kreiter, Amelia
   Brauman, Kate A.
   Keeler, Bonnie
   Arbuckle, J.
   Sharma, Vasudha
   Pradhananga, Amit
   Noe, Ryan
TI An experiential model of drought risk and future irrigation behaviors
   among central Minnesota farmers
SO CLIMATIC CHANGE
LA English
DT Article
DE Irrigation; Climate change adaptation; Drought risk perception;
   Agriculture
ID CLIMATE-CHANGE BELIEFS; ADAPTATION; FIT; PERCEPTION
AB Anticipatory water planning must address not only future climatic conditions but also the experiential dimensions of risk that drive human and societal adaptation. Compared to the western USA, agricultural producers in the upper Corn Belt have had less exposure to extreme drought and less irrigated agriculture. If climate change threatens to increase drought frequency or severity in the Corn Belt, a transition from rain-fed agriculture to irrigated agriculture in this region would require systemic changes and significant financial investments. Knowing what drives drought risk perceptions and irrigation behaviors will inform anticipatory planning and water supply management. We surveyed central Minnesota farmers about their drought risk perceptions in two groundwater management areas where climate models project heightened variability in water supply during the growing season. We examined the influence of farmers' drought exposure beliefs, farm sensitivity appraisals, and drought risk perceptions on future irrigation behaviors. We presented farmers with experiential scenarios of future drought derived from downscaled climate projections and asked about their likelihood of adopting or expanding irrigation systems under those conditions. Findings indicate that many farmers surveyed are concerned about drought, in part because they believe that future droughts are likely in the area and their farms are sensitive to drought. More than one quarter of farmers reported being likely to adopt or expand irrigation under several drought-experience scenarios.
C1 [Davenport, Mae A.; Pradhananga, Amit] Univ Minnesota, Dept Forest Resources, Ctr Changing Landscapes, St Paul, MN 55455 USA.
   [Kreiter, Amelia] Univ Minnesota, Dept Forest Resources, St Paul, MN USA.
   [Brauman, Kate A.] Univ Alabama, Global Water Secur Ctr, Tuscaloosa, AL USA.
   [Keeler, Bonnie; Noe, Ryan] Univ Minnesota, Hubert H Humphrey Sch Publ Affairs, Minneapolis, MN USA.
   [Arbuckle, J.] Iowa State Univ, Dept Sociol & Criminal Justice, Ames, IA USA.
   [Sharma, Vasudha] Univ Minnesota, Dept Soil Water & Climate, St Paul, MN 55108 USA.
C3 University of Minnesota System; University of Minnesota Twin Cities;
   University of Minnesota System; University of Minnesota Twin Cities;
   University of Alabama System; University of Alabama Tuscaloosa;
   University of Minnesota System; University of Minnesota Twin Cities;
   Iowa State University; University of Minnesota System; University of
   Minnesota Twin Cities
RP Davenport, MA (corresponding author), Univ Minnesota, Dept Forest Resources, Ctr Changing Landscapes, St Paul, MN 55455 USA.
EM mdaven@umn.edu
RI Arbuckle, J/P-2151-2016; Brauman, Kate/ABD-5349-2021; Kreiter,
   Amelia/KBC-4876-2024
OI Brauman, Kate/0000-0002-8099-285X; Davenport, Mae/0000-0002-8242-5074
FU USDA National Institute of Food and Agriculture, Agriculture and Food
   Research Initiative (NIFA AFRI) [1012161]
FX Project funding was provided by a grant from the USDA National Institute
   of Food and Agriculture, Agriculture and Food Research Initiative (NIFA
   AFRI), project 1012161.
CR Allan T., 2011, VIRTUAL WATER TACKLI, DOI [10.5040/9780755620524, DOI 10.5040/9780755620524]
   Amberson S, 2016, SOC NATUR RESOUR, V29, P1389, DOI 10.1080/08941920.2016.1180727
   Andriyas S., 2015, Journal of Agricultural Science (Toronto), V7, P1
   [Anonymous], 2014, Internet, phone, mail, and mixed-mode surveys: The tailored design method, DOI DOI 10.1002/9781394260645
   [Anonymous], 2012, MINNESOTA STATUTE 10
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Arbuckle JG, 2013, CLIMATIC CHANGE, V117, P943, DOI 10.1007/s10584-013-0707-6
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Brauman KA, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000083
   Cravens AE, 2021, WEATHER CLIM EXTREME, V33, DOI 10.1016/j.wace.2021.100362
   Diffenbaugh NS, 2015, P NATL ACAD SCI USA, V112, P3931, DOI 10.1073/pnas.1422385112
   Dobbie MF, 2014, RISK ANAL, V34, P294, DOI 10.1111/risa.12100
   English MJ, 2002, J IRRIG DRAIN ENG, V128, P267, DOI 10.1061/(ASCE)0733-9437(2002)128:5(267)
   FALKENMARK M, 1989, NAT RESOUR FORUM, V13, P258, DOI 10.1111/j.1477-8947.1989.tb00348.x
   FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312
   Foster T, 2014, WATER RESOUR RES, V50, P6370, DOI 10.1002/2014WR015620
   Gholson DM, 2019, J CONTEMP WAT RES ED, V166, P1, DOI 10.1111/j.1936-704X.2019.03297.x
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guillaume J.H. A., 2016, Integrated Groundwater Management: Concepts, Approaches and Challenges, P711, DOI 10.1007/978-3-319-23576-9_28
   Hameeteman E, 2013, FUTURE WATER IN SECU
   Hess RH, 1912, J POLIT ECON, V20, P807, DOI 10.1086/252096
   Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118
   Kahlor L, 2006, SCI COMMUN, V28, P163, DOI 10.1177/1075547006293916
   Kenny D.A., 2016, Multiple latent variable models: Confirmatory factor analysis
   Kuehne G., 2008, Hydrological Research Letters, V2, P27
   Kuruppu N, 2011, GLOBAL ENVIRON CHANG, V21, P657, DOI 10.1016/j.gloenvcha.2010.12.002
   Leiserowitz A, 2006, CLIMATIC CHANGE, V77, P45, DOI 10.1007/s10584-006-9059-9
   Levidow L, 2016, SCI PUBL POLICY, V43, P46, DOI 10.1093/scipol/scv016
   Marshall R., 1920, IRRIGATION 12 MILLIO
   Minnesota Department of Natural Resources, 2021, GROUNDWATER
   Minnesota Department of Natural Resources, 2017, STRAIGHT RIV GROUNDW
   Minnesota Environmental Quality Board, 2020, 2020 state water plan: Water and climate
   Ohlsson L., 2000, Stockholm Water Front, V1, P10
   Olson B, 2017, LANDSC J, V36, P59, DOI 10.3368/lj.36.1.59
   Padowski JC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/104014
   Pradhananga A., 2018, An Assessment of Landowner Conservation Action in the Lower Minnesota Watershed
   Qin Y, 2019, NAT SUSTAIN, V2, P515, DOI 10.1038/s41893-019-0294-2
   Quay R, 2010, J AM PLANN ASSOC, V76, P496, DOI 10.1080/01944363.2010.508428
   Ramirez A, 2013, PROCD SOC BEHV, V79, P101, DOI 10.1016/j.sbspro.2013.05.059
   Raykov T, 1997, APPL PSYCH MEAS, V21, P173, DOI 10.1177/01466216970212006
   Ree MJ, 2005, PERS PSYCHOL, V58, P853
   Richey AS, 2015, WATER RESOUR RES, V51, P5217, DOI 10.1002/2015WR017349
   SOBEL ME, 1985, SOCIOL METHODOL, P152
   STARR JR, 1991, FOREIGN POLICY, P17, DOI 10.2307/1148639
   Steiger JH, 2007, PERS INDIV DIFFER, V42, P893, DOI 10.1016/j.paid.2006.09.017
   Tortajada C, 2017, ENVIRON SCI POLICY, V78, P97, DOI 10.1016/j.envsci.2017.09.012
   Ng TL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR010399
   United States Department of Agriculture National Agricultural Statistics Service, 2018, 2018 IRR WAT MAN SUR
   United States Department of Agriculture National Agricultural Statistics Service, 2020, MINN AG NEWS FARMS L
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Wilts Johnson KA, 2021, 2020 FINBIN REPORT M
   Wolf A.T., 1998, WATER POLICY, V1, P251, DOI 10.1016/S1366-7017(98)00019-1
NR 52
TC 7
Z9 8
U1 2
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 MAR
PY 2022
VL 171
IS 1-2
AR 8
DI 10.1007/s10584-022-03320-3
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 ZP6YB
UT WOS:000766565400003
DA 2025-01-10
ER

PT J
AU Villamor, GB
   Dunningham, A
   Stahlmann-Brown, P
   Clinton, PW
AF Villamor, Grace B.
   Dunningham, Andrew
   Stahlmann-Brown, Philip
   Clinton, Peter W.
TI Improving the Representation of Climate Change Adaptation Behaviour in
   New Zealand's Forest Growing Sector
SO LAND
LA English
DT Article
DE agent-based model; maladaptation; plantation forests; protection
   motivation theory; risk; social psychological behaviour
ID PROSPECT-THEORY; INDIVIDUAL ADAPTATION; DECISION-MAKING; MODELS; OWNERS;
   RISK; PRODUCTIVITY; VARIABILITY; PERCEPTION; RESPONSES
AB To provide the forest industry with a better understanding of alternatives to simulate future adaptation pathways under evolving climatic and socio-economic uncertainty, we review the literature on how adaptation decisions are modelled in the context of plantation forests. This review leads to the conclusion that the representation of adaptation behaviour and decision-making remain very limited in most of the agent-based models in the forestry sector. Moreover, theoretical frameworks used to understand the adaptation behaviour of forest owners are also lacking. In this paper, we propose the application of protection motivation theory (PMT) as a framework to understand the motivation of forest owners to reduce the negative impacts of climate change on their forest plantations. Furthermore, the use of PMT allows factors affecting the maladaptive behaviour of forest owners to be examined. A survey of New Zealand foresters showed that less than 10% of smallholder forest owners adopted adaptation strategies. This result highlights the importance of addressing the research question "what motivates forest owners to take risk reduction measures?" Exploring this question is crucial to the future success of the New Zealand forestry sector and we suggest that it can be addressed by using PMT. This paper proposes a conceptual framework for an agent-based model as an alternative to simulating adaptation pathways for forest plantations in New Zealand.
C1 [Villamor, Grace B.; Dunningham, Andrew; Clinton, Peter W.] Scion New Zealand Forest Res Inst Ltd, Titokorangi Dr,Private Bag 3020, Rotorua 3046, New Zealand.
   [Villamor, Grace B.] Univ Bonn, Ctr Dev Res, 3 Genscherallee, D-53113 Bonn, Germany.
   [Stahlmann-Brown, Philip] Manaaki Whenua Landcare Res, 17 Whitmore St, Wellington 6011, New Zealand.
C3 Scion; University of Bonn; Landcare Research - New Zealand
RP Villamor, GB (corresponding author), Scion New Zealand Forest Res Inst Ltd, Titokorangi Dr,Private Bag 3020, Rotorua 3046, New Zealand.; Villamor, GB (corresponding author), Univ Bonn, Ctr Dev Res, 3 Genscherallee, D-53113 Bonn, Germany.
EM grace.villamor@sdonresearch.com; andrew.dunningham@scionresearch.com;
   brownp@landcareresearch.co.nz; peter.dinton@scionresearch.com
RI Villamor, Grace/H-3717-2019; Clinton, Peter/D-1448-2010;
   Stahlmann-Brown, Philip/B-4948-2016
OI Clinton, Peter/0000-0002-8921-4835; Dunningham,
   Andrew/0000-0003-1889-4439; Stahlmann-Brown, Philip/0000-0003-4310-1103
FU Scion; Forest Growers Levy Trust; NZ Forest Owners Association (FOA); NZ
   Farm Forestry Association (FFA)
FX Funding for this research came from Scion and the Forest Growers Levy
   Trust, with the support of the NZ Forest Owners Association (FOA) and
   the NZ Farm Forestry Association (FFA). The authors would like to thank
   the helpful suggestions from Dean Meason, Oscar Montes and the two
   anonymous reviewers. This research was funded by Scion and the Forest
   Growers Levy Trust, with the support of the NZ Forest Owners Association
   (FOA) and the NZ Farm Forestry Association (FFA).
CR Acosta-Michlik L, 2008, GLOBAL ENVIRON CHANG, V18, P554, DOI 10.1016/j.gloenvcha.2008.08.006
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Amadou ML, 2018, AGR SYST, V166, P196, DOI 10.1016/j.agsy.2017.10.015
   An L, 2012, ECOL MODEL, V229, P25, DOI 10.1016/j.ecolmodel.2011.07.010
   de Castro PAL, 2016, J COMPUT SCI-NETH, V17, P97, DOI 10.1016/j.jocs.2016.10.002
   Augusiak J, 2014, ECOL MODEL, V280, P117, DOI 10.1016/j.ecolmodel.2013.11.009
   Battaglia M, 2004, FOREST ECOL MANAG, V193, P251, DOI 10.1016/j.foreco.2004.01.033
   Berrang-Ford L, 2011, GLOBAL ENVIRON CHANG, V21, P25, DOI 10.1016/j.gloenvcha.2010.09.012
   Blanco V, 2017, J ENVIRON MANAGE, V196, P36, DOI 10.1016/j.jenvman.2017.02.066
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Bohensky E, 2014, JASSS-J ARTIF SOC S, V17, DOI 10.18564/jasss.2448
   Bonabeau E, 2002, P NATL ACAD SCI USA, V99, P7280, DOI 10.1073/pnas.082080899
   Brown C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.448
   Brown P., 2015, SURVEY RURAL DECISIO, DOI [10.7931/J2736P2D, DOI 10.7931/J2736P2D]
   Bubeck P, 2013, GLOBAL ENVIRON CHANG, V23, P1327, DOI 10.1016/j.gloenvcha.2013.05.009
   Burton I., 2006, Adaptation to Climate Change
   Clarke M, 2021, J ENVIRON MANAGE, V286, DOI 10.1016/j.jenvman.2021.112161
   Dickinson T., 2007, The Compendium of Adaptation Models for Climate Change, VFirst
   Dunningham A., 2018, REV CLIMATE CHANGE R
   Dunningham A., 2012, Technical Report to the Sustainable Land Management and Climate Change Adaptation Technical Working Group. MPI Technical Paper, P293
   Eriksson L, 2014, SMALL-SCALE FOR, V13, P483, DOI 10.1007/s11842-014-9266-6
   FAO, 2018, TERMS DEF
   Gawith D, 2020, ECOL ECON, V173, DOI 10.1016/j.ecolecon.2020.106636
   Gebetsroither E, 2006, CONTRIB ECON, P153, DOI 10.1007/3-7908-1721-X_8
   Ghasemi B, 2020, J ENVIRON PSYCHOL, V70, DOI 10.1016/j.jenvp.2020.101442
   Groeneveld J, 2017, ENVIRON MODELL SOFTW, V87, P39, DOI 10.1016/j.envsoft.2016.10.008
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Hailegiorgis A, 2018, JASSS-J ARTIF SOC S, V21, DOI 10.18564/jasss.3812
   Hengst-Ehrhart Y, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0878-z
   Heppenstall A.J., 2011, Agent-based Models of Geographical Systems, DOI DOI 10.1007/978-90-481-8927-4
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Holman IP, 2019, REG ENVIRON CHANGE, V19, P711, DOI 10.1007/s10113-018-1328-4
   Holt JR, 2021, SOC NATUR RESOUR, V34, P1001, DOI 10.1080/08941920.2021.1924330
   Inderberg T.H. kon., 2015, CLIMATE CHANGE ADAPT
   Ingold K, 2011, FOREST POLICY ECON, V13, P97, DOI 10.1016/j.forpol.2010.06.003
   Jones R., 2010, RISK MANAGEMENT APPR, P10
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Karppinen H, 2005, FOREST POLICY ECON, V7, P393, DOI 10.1016/j.forpol.2003.06.001
   Karppinen H, 2015, FOREST POLICY ECON, V50, P275, DOI 10.1016/j.forpol.2014.09.009
   Käyhkö J, 2019, INT J AGR SUSTAIN, V17, P431, DOI 10.1080/14735903.2019.1689062
   Keshavarz M, 2016, J ARID ENVIRON, V127, P128, DOI 10.1016/j.jaridenv.2015.11.010
   Kostadinov F, 2014, FOREST POLICY ECON, V38, P105, DOI 10.1016/j.forpol.2013.08.001
   Kwon HR, 2020, J PLAN LIT, V35, P161, DOI 10.1177/0885412219881135
   Laakkonen A, 2018, FOREST POLICY ECON, V87, P1, DOI 10.1016/j.forpol.2017.11.001
   Landsberg JJ, 1997, FOREST ECOL MANAG, V95, P209, DOI 10.1016/S0378-1127(97)00026-1
   Leahy J.E., 2013, Int. J. Financ. Res., V2013, DOI [DOI 10.1155/2013/563068, 10.1155/2013/563068]
   Lindell M.K., 1992, Behavioral Foundations of Community Emergency Planning
   Lodin I, 2020, FORESTS, V11, DOI 10.3390/f11030346
   Madge C., 2021, THESIS DALHOUSIE U H
   Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x
   McEligot K, 2019, WINT SIMUL C PROC, P251, DOI 10.1109/WSC40007.2019.9004872
   Meason DF, 2014, ANN FOREST SCI, V71, P239, DOI 10.1007/s13595-013-0300-1
   Milne S, 2000, J APPL SOC PSYCHOL, V30, P106, DOI 10.1111/j.1559-1816.2000.tb02308.x
   Moore D., 2011, CLIM CHANG MESS WORK
   Morgenstern O., 1953, Theory of games and economic behavior
   MPI, 2021, SIT OUTL PRIM IND, P44
   MPI, 2019, SIT OUTL PRIM IND, P1
   Müller-Hansen F, 2017, EARTH SYST DYNAM, V8, P977, DOI 10.5194/esd-8-977-2017
   Negri DH, 2005, CLIMATIC CHANGE, V69, P299, DOI 10.1007/s10584-005-1817-6
   NZSF, 2020, NZ SUP FUND CLIM CHA
   Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y
   Payn T.W., 2009, DEV IMPLEMENTATION P
   Pielke RA, 1998, GLOBAL ENVIRON CHANG, V8, P159, DOI 10.1016/S0959-3780(98)00011-9
   Prell C, 2010, ECOL SOC, V15
   Rammer W, 2015, GLOBAL ENVIRON CHANG, V35, P475, DOI 10.1016/j.gloenvcha.2015.10.003
   Regasa D. T., 2019, Eur. Rev. Appl. Sociol, V12, P49, DOI [10.1515/eras-2019-0010, DOI 10.1515/ERAS-2019-0010]
   Ricco G, 2019, J ENVIRON POL PLAN, V21, P275, DOI 10.1080/1523908X.2019.1623659
   Rogers R. W., 1983, Social psychophysiology: A source book, P153
   ROGERS RW, 1975, J PSYCHOL, V91, P93, DOI 10.1080/00223980.1975.9915803
   Scalco A, 2017, UNDERST COMPLEX SYST, P77, DOI 10.1007/978-3-319-46331-5_4
   Scheller F., 2019, REV DESIGNING EMPIRI
   Schlüter M, 2017, ECOL ECON, V131, P21, DOI 10.1016/j.ecolecon.2016.08.008
   Schrieks T, 2021, FRONT WATER, V3, DOI 10.3389/frwa.2021.686329
   Seidl R, 2016, AMBIO, V45, P430, DOI 10.1007/s13280-015-0737-6
   Smajgl A, 2013, ENVIRON MODELL SOFTW, V45, P8, DOI 10.1016/j.envsoft.2011.10.014
   Smit B., 2003, DEVELOPMENT, V8, P9
   Tanaka T, 2010, AM ECON REV, V100, P557, DOI 10.1257/aer.100.1.557
   Tapsuwan S, 2015, J OUTDOOR REC TOUR, V11, P58, DOI 10.1016/j.jort.2015.06.005
   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
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   Verburg PH, 2019, CURR OPIN ENV SUST, V38, P77, DOI 10.1016/j.cosust.2019.05.002
   Villamor G.B., 2022, CLIMATIC CHANGE
   Villamor GB, 2016, GLOBAL ENVIRON CHANG, V39, P69, DOI 10.1016/j.gloenvcha.2016.04.007
   Villamor GB, 2011, ECOL INFORM, V6, P73, DOI 10.1016/j.ecoinf.2010.08.003
   Voinov A, 2010, ENVIRON MODELL SOFTW, V25, P1268, DOI 10.1016/j.envsoft.2010.03.007
   Vulturius G, 2018, REG ENVIRON CHANGE, V18, P511, DOI 10.1007/s10113-017-1218-1
   Vulturius G, 2015, SCAND J FOREST RES, V30, P217, DOI 10.1080/02827581.2014.1002218
   Watt MS, 2010, CAN J FOREST RES, V40, P488, DOI 10.1139/X09-207
   Wens M, 2019, WIRES WATER, V6, DOI 10.1002/wat2.1345
   West TAP, 2021, J ENVIRON MANAGE, V289, DOI 10.1016/j.jenvman.2021.112482
   Wilensky U., 2015, An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with Netlogo, DOI DOI 10.2307/J.CTT17KK851
   Yousefpour R, 2017, ECOL SOC, V22, DOI 10.5751/ES-09614-220440
NR 93
TC 7
Z9 7
U1 0
U2 9
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD MAR
PY 2022
VL 11
IS 3
AR 364
DI 10.3390/land11030364
PG 18
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 0C0VU
UT WOS:000775041800001
OA gold
DA 2025-01-10
ER

PT J
AU Yazdanpanah, M
   Zobeidi, T
   Sieber, S
   Löhr, K
   Homayoon, SB
AF Yazdanpanah, Masoud
   Zobeidi, Tahereh
   Sieber, Stefan
   Loehr, Katharina
   Homayoon, Seyedeh Bahar
TI Replacing rice with lower water consumption crops: green policy
   implications for Iran
SO CLIMATE RESEARCH
LA English
DT Article
DE Water scarcity; Environmental concern; Habit; Change cropping system
ID PRO-ENVIRONMENTAL BEHAVIOR; CLIMATE-CHANGE ADAPTATION; PLANNED BEHAVIOR;
   SMALLHOLDER FARMERS; CONSUMERS INTENTION; SELF-IDENTITY; EXTENDED
   THEORY; MORAL NORMS; FOOD WASTE; MANAGEMENT
AB Replacing rice cultivation is a measure that mitigates water scarcity and climate change. This study used the extended theory of planned behavior (TPB) to predict rice growers' intentions to alter their current rice cropping system to other, less water-consumptive products. Using survey data collected from 220 randomly sampled rice growers in southwestern Iran, structural equation modeling showed that environmental concerns positively affected the subjective norm (beta = 0.57), perceived behavioral control (beta = 0.16), moral norm (beta = 0.37), self-identity (beta = 0.26), and habit (beta = 0.39). Environmental concerns indirectly affect farmers' intentions through self-identity and habit. Attitude and self-identity positively affected and habit negatively affected behavioral intentions. The results showed that the extended TPB has superior predictive ability over TPB in predicting grower intentions. Extended TPB predicted 35% of the farmers' intentions, while TPB predicted 30%. Given the strong indirect impact of environmental concerns on the farmers' intention to change cultivation patterns, political efforts through the media and training campaigns should be aimed at raising environmental concerns, risk perception and awareness, and clarifying the risks of water scarcity. Extension agents may increase farmers' willingness to change cultivated crops by disseminating information to farmers about measures needed to prepare the land, costs of cultivating alternative crops, and benefits of changing cultivation patterns to improve farmers' attitudes.
C1 [Yazdanpanah, Masoud; Homayoon, Seyedeh Bahar] Agr Sci & Nat Resources Univ Khuzeslan, Dept Agr Extens & Educ, Khuzestan 6341773637, Mollasani, Iran.
   [Yazdanpanah, Masoud] Univ Florida, Dept Family Youth & Community Sci, Gainesville, FL 32607 USA.
   [Zobeidi, Tahereh] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.
   [Sieber, Stefan; Loehr, Katharina] Leibniz Ctr Agr Landscape Res, D-15374 Muncheberg, Germany.
   [Sieber, Stefan] Humboldt Univ, Fac Life Sci, Thaer Inst, Dept Agr Econ, Unter Linden 6, D-10099 Berlin, Germany.
   [Loehr, Katharina] Humboldt Univ, Div Urban Plant Ecophysiol, D-14195 Berlin, Germany.
C3 State University System of Florida; University of Florida; International
   Institute for Applied Systems Analysis (IIASA); Leibniz Association;
   Leibniz Zentrum fur Agrarlandschaftsforschung (ZALF); Humboldt
   University of Berlin; Humboldt University of Berlin
RP Zobeidi, T (corresponding author), Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria.
EM zobeidi@iiasa.ac.at
RI Yazdanpanah, Masoud/V-5353-2018; Zobeidi, Tahereh/AFY-2097-2022; Löhr,
   Katharina/KCL-0431-2024; Homayoon, Seyedeh Bahar/HGU-8740-2022
OI Zobeidi, Tahereh/0000-0001-6909-4269
CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   [Anonymous], 2017, SALAMAT VA MUHIT
   [Anonymous], 2014, SALAMAT VA MUHIT
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Bamberg S, 2003, ENVIRON BEHAV, V35, P264, DOI 10.1177/0013916502250134
   Boazar M, 2020, J ENVIRON PLANN MAN, V63, P2484, DOI 10.1080/09640568.2020.1729705
   Boazar M, 2019, J HYDROL, V570, P523, DOI 10.1016/j.jhydrol.2019.01.021
   Borges JAR, 2014, LIVEST SCI, V169, P163, DOI 10.1016/j.livsci.2014.09.014
   Botetzagias I, 2015, RESOUR CONSERV RECY, V95, P58, DOI 10.1016/j.resconrec.2014.12.004
   Bowen NK, 2011, Structural Equation Modeling
   Bozorgparvar E, 2018, J CLEAN PROD, V203, P769, DOI 10.1016/j.jclepro.2018.08.280
   Burnham M, 2017, REG ENVIRON CHANGE, V17, P171, DOI 10.1007/s10113-016-0975-6
   Carfora V, 2017, J ENVIRON PSYCHOL, V53, P92, DOI 10.1016/j.jenvp.2017.07.001
   Chen MF, 2020, BUS STRATEG ENVIRON, V29, P2404, DOI 10.1002/bse.2510
   Chen MF, 2020, INT SOCIOL, V35, P70, DOI 10.1177/0268580919881870
   Chen MF, 2016, J CLEAN PROD, V112, P1746, DOI 10.1016/j.jclepro.2015.07.043
   Chen MF, 2014, INT J HOSP MANAG, V36, P221, DOI 10.1016/j.ijhm.2013.09.006
   Chin WW, 1998, QUANT METH SER, P295
   Cook AJ, 2002, J ECON PSYCHOL, V23, P557, DOI 10.1016/S0167-4870(02)00117-4
   de Bruijn GJ, 2010, APPETITE, V54, P16, DOI 10.1016/j.appet.2009.08.007
   de Groot J, 2007, J APPL SOC PSYCHOL, V37, P1817, DOI 10.1111/j.1559-1816.2007.00239.x
   De Leeuw A, 2015, J ENVIRON PSYCHOL, V42, P128, DOI 10.1016/j.jenvp.2015.03.005
   Delfiyan F, 2021, CLIM DEV, V13, P152, DOI 10.1080/17565529.2020.1737797
   Despotovic J, 2019, J CLEAN PROD, V228, P1196, DOI 10.1016/j.jclepro.2019.04.149
   Fielding KS, 2008, BRIT J SOC PSYCHOL, V47, P23, DOI 10.1348/014466607X206792
   Fielding KS, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012398
   Fujii S, 2006, J ENVIRON PSYCHOL, V26, P262, DOI 10.1016/j.jenvp.2006.09.003
   Gkargkavouzi A, 2019, RESOUR CONSERV RECY, V148, P145, DOI 10.1016/j.resconrec.2019.01.039
   Gosling SN, 2016, CLIMATIC CHANGE, V134, P371, DOI 10.1007/s10584-013-0853-x
   Graham-Rowe E, 2015, RESOUR CONSERV RECY, V101, P194, DOI 10.1016/j.resconrec.2015.05.020
   Greaves M, 2013, J ENVIRON PSYCHOL, V34, P109, DOI 10.1016/j.jenvp.2013.02.003
   Hamid F, 2021, J ENVIRON PLANN MAN, V64, P1886, DOI 10.1080/09640568.2020.1851175
   Hansla A, 2008, J ENVIRON PSYCHOL, V28, P1, DOI 10.1016/j.jenvp.2007.08.004
   Heydari S, 2012, PAPER CODE DESERTWET
   Dang HL, 2014, ENVIRON SCI POLICY, V41, P11, DOI 10.1016/j.envsci.2014.04.002
   Huang J, 2012, J INTEGR AGR, V11, P1914, DOI 10.1016/S2095-3119(12)60197-X
   Jabran K, 2016, ENVIRON SCI POLLUT R, V23, P9156, DOI 10.1007/s11356-016-6162-y
   Jahad Agricultural Organization Khuzestan, 2022, KHUZ DAT
   Kaiser FG, 2003, PERS INDIV DIFFER, V35, P1033, DOI 10.1016/S0191-8869(02)00316-1
   Kanter DR, 2018, CLIMATIC CHANGE, V147, P11, DOI 10.1007/s10584-017-2126-6
   Komba C, 2018, ENVIR DEV, P129
   Kpadonou R. A. B., 2012, African Crop Science Journal, V20, P181
   KREJCIE RV, 1970, EDUC PSYCHOL MEAS, V30, P607, DOI 10.1177/001316447003000308
   Kurukulasuriya Pradeep., 2007, Crop selection: Adapting to climage change in Africa
   Kwon SA, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071834
   Läpple D, 2013, ECOL ECON, V88, P11, DOI 10.1016/j.ecolecon.2012.12.025
   Lai PH, 2017, LAND USE POLICY, V67, P487, DOI 10.1016/j.landusepol.2017.05.033
   Ledo J, 2021, FOOD CONTROL, V124, DOI 10.1016/j.foodcont.2021.107918
   Lee BC, 1997, J RURAL HEALTH, V13, P206, DOI 10.1111/j.1748-0361.1997.tb00844.x
   Lehmann N, 2013, AGR SYST, V117, P55, DOI 10.1016/j.agsy.2012.12.011
   Liang H, 2019, FIELD CROP RES, V233, P70, DOI 10.1016/j.fcr.2019.01.003
   Maichum K, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8101077
   Malhotra SK, 2016, PROC 10 WORLD AQUA C, P377
   Mesgaran M.B, 2018, Working Paper 6, Stanford Iran 2040 Project
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   Mohammadinezhad S, 2020, J HYDROL, V580, DOI 10.1016/j.jhydrol.2019.124241
   Nabara IS, 2021, CLIM DEV, V13, P475, DOI 10.1080/17565529.2020.1801374
   Nunnally J. C., 1978, CLIN DIAGNOSIS MENTA, P97, DOI [DOI 10.1007/978-1-4684-2490-4_4, DOI 10.1007/978-1-4684-2490-44]
   Oteng-Peprah M, 2020, J ENVIRON MANAGE, V254, DOI 10.1016/j.jenvman.2019.109807
   Overstreet RE, 2013, J APPL SOC PSYCHOL, V43, P936, DOI 10.1111/jasp.12058
   Pakmehr S, 2021, ENVIRON DEV SUSTAIN, V23, P5776, DOI 10.1007/s10668-020-00846-3
   Paul J, 2016, J RETAIL CONSUM SERV, V29, P123, DOI 10.1016/j.jretconser.2015.11.006
   Rise J, 2010, J APPL SOC PSYCHOL, V40, P1085, DOI 10.1111/j.1559-1816.2010.00611.x
   Rouzaneh D, 2021, AGR WATER MANAGE, V246, DOI 10.1016/j.agwat.2020.106655
   Russell SV, 2020, INT J WATER RESOUR D, V36, P940, DOI 10.1080/07900627.2019.1638230
   Savari M, 2022, HABITAT INT, V124, DOI 10.1016/j.habitatint.2022.102560
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102695
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102654
   Savari M, 2021, INT J DISAST RISK RE, V60, DOI 10.1016/j.ijdrr.2021.102284
   Schultz PW, 2001, J ENVIRON PSYCHOL, V21, P327
   Schwartz S.H., 1977, ADV EXPT SOCIAL PSYC, V10, P221, DOI [10.1016/S0065-2601(08)60358-5, DOI 10.1016/S0065-2601(08)60358-5]
   Senger I, 2017, J RURAL STUD, V49, P32, DOI 10.1016/j.jrurstud.2016.10.006
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   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
   Siebert R, 2006, SOCIOL RURALIS, V46, P318, DOI 10.1111/j.1467-9523.2006.00420.x
   Soglo YY, 2019, CLIMATIC CHANGE, V155, P245, DOI 10.1007/s10584-019-02452-3
   Soorani F, 2019, WASTE MANAGE, V98, P151, DOI 10.1016/j.wasman.2019.08.025
   Steduto P, 2012, Crop yield response to water
   Stryker S., 1987, Self and identity: Psychological perspectives, P89
   Tama RAZ, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111654
   Thakkar J.J., 2020, Appl. Res. Pract, V285, P1, DOI DOI 10.1007/978-981-15-3793-6.PDF
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Verplanken B., 1999, European review of social psychology, V10, P101, DOI [10.1080/14792779943000035, DOI 10.1080/14792779943000035]
   Visschers VHM, 2016, J ENVIRON PSYCHOL, V45, P66, DOI 10.1016/j.jenvp.2015.11.007
   Wang SY, 2016, TRANSPORTATION, V43, P123, DOI 10.1007/s11116-014-9567-9
   Wang YD, 2019, J ENVIRON MANAGE, V237, P15, DOI 10.1016/j.jenvman.2019.02.070
   Wensing J, 2019, J ENVIRON MANAGE, V232, P858, DOI 10.1016/j.jenvman.2018.11.114
   Whitmarsh L, 2010, J ENVIRON PSYCHOL, V30, P305, DOI 10.1016/j.jenvp.2010.01.003
   Xue MT, 2021, ENVIRON IMPACT ASSES, V91, DOI 10.1016/j.eiar.2021.106672
   Yadav R, 2017, ECOL ECON, V134, P114, DOI 10.1016/j.ecolecon.2016.12.019
   Yadav R, 2016, J CLEAN PROD, V135, P732, DOI 10.1016/j.jclepro.2016.06.120
   Yanakittkul P., 2019, Kasetsart Journal of Social Sciences, V40, P491
   Yazdanpanah M, 2022, INT J GREEN ENERGY, V19, P836, DOI 10.1080/15435075.2021.1966792
   Yazdanpanah M, 2022, J ENVIRON PLANN MAN, V65, P907, DOI 10.1080/09640568.2021.1917348
   Zeweld W, 2017, J ENVIRON MANAGE, V187, P71, DOI 10.1016/j.jenvman.2016.11.014
   Zhang L, 2020, J ENVIRON PSYCHOL, V68, DOI 10.1016/j.jenvp.2020.101408
   Zingaro D, 2017, WATER-SUI, V9, DOI 10.3390/w9090685
   Zobeidi T, 2022, AGR WATER MANAGE, V264, DOI 10.1016/j.agwat.2022.107528
   Zobeidi T, 2022, ENERG POLICY, V161, DOI 10.1016/j.enpol.2021.112721
   Zobeidi T, 2021, J ENVIRON MANAGE, V298, DOI 10.1016/j.jenvman.2021.113552
   Zobeidi T, 2022, ENVIRON DEV SUSTAIN, V24, P5400, DOI 10.1007/s10668-021-01663-y
NR 103
TC 6
Z9 6
U1 3
U2 9
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.
PY 2022
VL 88
BP 101
EP 114
DI 10.3354/cr01700
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 4J7IC
UT WOS:000851437500003
DA 2025-01-10
ER

PT J
AU Pauli, N
   Williams, M
   Henningsen, S
   Davies, K
   Chhom, C
   van Ogtrop, F
   Hak, S
   Boruff, B
   Neef, A
AF Pauli, Natasha
   Williams, Mark
   Henningsen, Savuti
   Davies, Kevin
   Chhom, Chanchhaya
   van Ogtrop, Floris
   Hak, Sochanny
   Boruff, Bryan
   Neef, Andreas
TI "Listening to the Sounds of the Water": Bringing Together Local
   Knowledge and Biophysical Data to Understand Climate-Related Hazard
   Dynamics
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
LA English
DT Article
DE Cambodia; Local knowledge; Mekong River; Natural hazards; Participatory
   mapping; Remote sensing
ID DISASTER RISK REDUCTION; FLOOD RISK; INDIGENOUS KNOWLEDGE;
   SCIENTIFIC-KNOWLEDGE; CHANGE ADAPTATION; MEKONG BASIN; VARIABILITY;
   SCIENCE; IMAGERY; RICE
AB Integrating local knowledge and scientific information can aid in co-developing locally relevant approaches for climate change adaptation and disaster risk reduction. Communities along the Mekong River have adapted to variability in temperature, rainfall, and flooding patterns over time. Rapid environmental change in the Mekong Basin presents a new set of challenges related to drought, altered seasonal rainfall, more frequent high-flow flood events, and water withdrawals for hydropower and irrigation. We present a multi-method approach to understand how local knowledge of the spatial and temporal patterns of floods, droughts, and rainfall can be integrated with scientific information along a flood-prone section of the lower Mekong River in Kratie Province, Cambodia. Participatory hazard mapping of community members' knowledge of the movement of floodwaters through the landscape enabled interpretation of flood extent mapping using Synthetic Aperture Radar images from the Sentinel-1A satellite. Seasonal calendars of weather patterns and livelihood activities, together with local indicators of flooding, rainfall, and drought were compared with trends in 35 years of rainfall data, and highlighted "pressure points" at the beginning and end of the rainy season where agriculture may be particularly impacted by climate change. We discuss potential applications of our findings for adaptation and hazard planning.
C1 [Pauli, Natasha; Williams, Mark; Henningsen, Savuti; Boruff, Bryan] Univ Western Australia, UWA Sch Agr & Environm, Crawley, WA 6009, Australia.
   [Pauli, Natasha; Boruff, Bryan] Univ Western Australia, Sch Social Sci, Dept Geog & Planning, Crawley, WA 6009, Australia.
   [Davies, Kevin] Univ Sydney, Sch Geosci, Sydney, NSW 2006, Australia.
   [Chhom, Chanchhaya] Royal Univ Phnom Penh, Fac Dev Studies, Phnom Penh 12150, Cambodia.
   [van Ogtrop, Floris] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW, Australia.
   [Hak, Sochanny; Neef, Andreas] Univ Auckland, Sch Social Sci, Dev Studies, Auckland 1142, New Zealand.
C3 University of Western Australia; University of Western Australia;
   University of Sydney; University of Sydney; University of Auckland
RP Pauli, N (corresponding author), Univ Western Australia, UWA Sch Agr & Environm, Crawley, WA 6009, Australia.; Pauli, N (corresponding author), Univ Western Australia, Sch Social Sci, Dept Geog & Planning, Crawley, WA 6009, Australia.
EM natasha.pauli@uwa.edu.au
RI Ogtrop, Floris/ABB-6115-2021; Neef, Andreas/F-6102-2010; Pauli,
   Natasha/H-5605-2014
OI Boruff, Bryan/0000-0001-6693-0671; van Ogtrop,
   Floris/0000-0002-5505-3869; Pauli, Natasha/0000-0002-1145-7458; Neef,
   Andreas/0000-0002-5079-3323; Davies, Kevin/0000-0003-2170-7008;
   Henningsen, Savuti/0000-0001-6902-2679; Hak,
   Sochanny/0000-0003-3077-6478
FU Asia-Pacific Network for Global Change Research [CAF2015-RR10-NMY-Neef,
   CAF2017-RR01-CMY-Neef]; University of Western Australia [RA/1/1200/755];
   UWA School of Agriculture and Environment at the University of Western
   Australia
FX The authors thank the communities of Thma Reab, Ou Lung, Dei Doh Kraom,
   Kbal Kaoh, and Prek Prasob for participating in this research, and
   hosting the authors. The authors acknowledge the Kratie Provincial
   Government, Prek Prasob District Governor, commune leaders, and village
   heads who permitted and assisted in the organization of the fieldwork.
   We extend our thanks to our research assistants and translators from the
   Royal University of Phnom Penh (RUPP): Ms Thidameas Hak, Mr Nakhem Eom,
   Mr Sengponleur Yuk, and Mr Kimleng Sa. The authors acknowledge support
   and input from Mr Siphat Touch (Ministry of Rural Development,
   Cambodia), Dr Kimlong Ly and Dr Nyda Chhinh (both RUPP). Rainfall data
   were provided by the Cambodian Department of Meteorology. The research
   was funded by the Asia-Pacific Network for Global Change Research
   (CAF2015-RR10-NMY-Neef and CAF2017-RR01-CMY-Neef, "Climate Change
   Adaptation in PostDisaster Recovery Processes: Flood-Affected
   Communities in Cambodia and Fiji''), the University of Western Australia
   (Research Collaboration Award RA/1/1200/755 "Risk, Resilience and
   Recovery: A Participatory Approach to Integrating Local and Scientific
   Knowledge for Disaster Preparedness of Communities in Flood-Prone
   Catchments in Fiji''), and student grants from the UWA School of
   Agriculture and Environment at the University of Western Australia.
CR Acharya A, 2019, ENVIRON DEV, V31, P55, DOI 10.1016/j.envdev.2018.12.003
   AGRAWAL A, 1995, DEV CHANGE, V26, P413, DOI 10.1111/j.1467-7660.1995.tb00560.x
   Alessa L, 2016, SUSTAIN SCI, V11, P91, DOI 10.1007/s11625-015-0295-7
   [Anonymous], 2015, The Human Cost of Weather Related Disasters 1995-2015
   [Anonymous], 2019, State of the Basin Report 2018
   [Anonymous], 2009, Good practices in participatory mapping
   [Anonymous], 2009, Stakeholder engagement strategies for participatory mapping
   Bernard H. R., 2017, Research Methods in Anthropology: Qualitative and Quantitative Approaches
   Besant D, 2016, SE ASIA GLOBE
   Blench R., 2001, FAOSTAT, P11
   Bohensky EL, 2011, ECOL SOC, V16, DOI 10.5751/ES-04342-160406
   Ceccato L, 2011, ENVIRON SCI POLICY, V14, P1163, DOI 10.1016/j.envsci.2011.05.016
   Clement M. A., 2018, Journal of Flood Risk Management, V11, P152, DOI 10.1111/jfr3.12303
   Cubelos C, 2019, GEOSCIENCES, V9, DOI 10.3390/geosciences9070279
   Dekens J., 2007, LOCAL KNOWLEDGE DISA
   Dube E, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.493
   Ehlert J., 2010, THESIS U BONN CTR DE
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Fazey I, 2010, GLOBAL ENVIRON CHANG, V20, P713, DOI 10.1016/j.gloenvcha.2010.04.011
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Gorelick N, 2017, REMOTE SENS ENVIRON, V202, P18, DOI 10.1016/j.rse.2017.06.031
   Greifeneder F, 2014, INT J REMOTE SENS, V35, P2857, DOI 10.1080/01431161.2014.890299
   Gupta A, 2007, GEOMORPHOLOGY, V85, P259, DOI 10.1016/j.geomorph.2006.03.036
   Gustafson S, 2018, CLIMATIC CHANGE, V149, P91, DOI 10.1007/s10584-016-1887-7
   Hawker L, 2018, FRONT EARTH SC-SWITZ, V6, DOI 10.3389/feart.2018.00233
   Henningsen S., 2020, CLIMATE INDUCED DISA, P135, DOI [10.1108/S2040-726220200000022006, DOI 10.1108/S2040-726220200000022006]
   Hill R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04587-170123
   Hillman M, 2009, GEOGR COMPASS, V3, P1988, DOI 10.1111/j.1749-8198.2009.00278.x
   Hiwasaki L, 2014, INT J DISAST RISK RE, V10, P15, DOI 10.1016/j.ijdrr.2014.07.007
   Hoang LP, 2016, HYDROL EARTH SYST SC, V20, P3027, DOI 10.5194/hess-20-3027-2016
   Johnston R, 2012, WATER RESOUR MANAG, V26, P429, DOI 10.1007/s11269-011-9925-8
   Kniveton D, 2015, DISASTERS, V39, pS35, DOI 10.1111/disa.12108
   Kottek M, 2006, METEOROL Z, V15, P259, DOI 10.1127/0941-2948/2006/0130
   Laborde S, 2012, P NATL ACAD SCI USA, V109, P6441, DOI 10.1073/pnas.1113740109
   Lee J-S., 1994, Remote Sens. Rev, V8, P313, DOI DOI 10.1080/02757259409532206
   Liebmann B, 2007, J CLIMATE, V20, P2037, DOI 10.1175/JCLI4122.1
   López-Marrero T, 2011, ENVIRON URBAN, V23, P229, DOI 10.1177/0956247810396055
   Mainuddin M, 2013, NAT HAZARDS, V66, P905, DOI 10.1007/s11069-012-0526-5
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mason-D'Croz D, 2016, ENVIRON MODELL SOFTW, V83, P255, DOI 10.1016/j.envsoft.2016.05.008
   McCall MK, 2012, GEOFORUM, V43, P81, DOI 10.1016/j.geoforum.2011.07.007
   Meade R.H., 1996, Sea-Level Rise and Coastal Subsidence, P63
   Mekong River Commission, 2021, BASIN DEV STRATEGY M
   Mekong River Commission, 2021, MRC DATA INFORM SERV
   Mendoza GA, 2005, FOREST ECOL MANAG, V207, P145, DOI 10.1016/j.foreco.2004.10.024
   Mercer J., 2007, Environmental Hazards, V7, P245, DOI DOI 10.1016/J.ENVHAZ.2006.11.001
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Meshkova LV, 2012, GEOMORPHOLOGY, V147, P2, DOI 10.1016/j.geomorph.2011.06.041
   Notti D, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10111673
   OTSU N, 1979, IEEE T SYST MAN CYB, V9, P62, DOI 10.1109/TSMC.1979.4310076
   Piman T, 2013, HYDROL PROCESS, V27, P2115, DOI 10.1002/hyp.9764
   Poulton PL, 2016, FIELD CROP RES, V198, P160, DOI 10.1016/j.fcr.2016.09.008
   Räsänen TA, 2016, CLIM PAST, V12, P1889, DOI 10.5194/cp-12-1889-2016
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   Reed MS, 2007, LAND DEGRAD DEV, V18, P249, DOI 10.1002/ldr.777
   Reichel C, 2014, INT J DISAST RISK SC, V5, P41, DOI 10.1007/s13753-014-0013-6
   Ruiz-Barradas A, 2018, J HYDROMETEOROL, V19, P849, DOI 10.1175/JHM-D-17-0195.1
   Saksena S, 2015, J HYDROL, V530, P180, DOI 10.1016/j.jhydrol.2015.09.069
   Scheuer S, 2013, COMPUT ENVIRON URBAN, V37, P82, DOI 10.1016/j.compenvurbsys.2012.07.007
   Thongs G, 2019, NAT HAZARDS, V98, P593, DOI 10.1007/s11069-019-03720-2
   Tozier de la Poterie A, 2015, INT J DISAST RISK SC, V6, P128, DOI 10.1007/s13753-015-0053-6
   Trogrlic RS, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11061681
   Twele A, 2016, INT J REMOTE SENS, V37, P2990, DOI 10.1080/01431161.2016.1192304
   Vernooy R., 2015, EFFECTIVE IMPLEMENTA
   Vogt N, 2016, SUSTAIN SCI, V11, P611, DOI 10.1007/s11625-015-0352-2
   Williams M, 2021, COMM ENV DISAST RISK, V22, P113, DOI 10.1108/S2040-726220200000022005
   Yamauchi K, 2014, PADDY WATER ENVIRON, V12, pS227, DOI 10.1007/s10333-013-0388-9
NR 67
TC 10
Z9 11
U1 1
U2 22
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0055
EI 2192-6395
J9 INT J DISAST RISK SC
JI Int. J. Disaster Risk Sci.
PD JUN
PY 2021
VL 12
IS 3
BP 326
EP 340
DI 10.1007/s13753-021-00336-8
EA MAR 2021
PG 15
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 SU2NA
UT WOS:000634621700001
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Torres, MAO
   Kallas, Z
   Herrera, SIO
AF Orduno Torres, Miguel Angel
   Kallas, Zein
   Ornelas Herrera, Selene Ivette
TI Farmers' environmental perceptions and preferences regarding climate
   change adaptation and mitigation actions; towards a sustainable
   agricultural system in Mexico
SO LAND USE POLICY
LA English
DT Article
DE Climate change; Adaptation; Mitigation; Sustainable agriculture;
   Environmental factors; Analytical hierarchy process; New ecological
   paradigm scale
ID INDIVIDUAL JUDGMENTS; ECOSYSTEM SERVICES; RISK PREFERENCES; STRATEGIES;
   CHOICE; EMISSIONS; IMPACT; VULNERABILITY; PERSPECTIVE; INDICATORS
AB Climate change compromises sustainable agricultural development. It has deep economic, environmental, and social impacts, particularly on vulnerable rural regions in developing countries where agriculture constitutes the backbone of the economy. This study analyzes farmers' preferences regarding the potential implementation of several mitigation and adaptation actions addressing climate change. Data were collected on 370 farmers in the "Valle del Carrizo" region of northwestern Mexico. Using the Analytical Hierarchy Process (AHP) methodology, the farmers' preferred mitigation and adaptation actions were identified and related to their stated attitudes regarding risks using the Multiple Price List (MPL) lotteries approach. Farmers' environmental beliefs and perceptions as key means of understanding concepts of sustainability were related to their preferences. The use of less polluting machinery and investment in improving irrigation infrastructure were identified as the most preferred actions. Environmental opinions reviewed using the New Ecological Paradigm (NEP) scale allowed for the identification of the participants' ecocentric and anthropocentric attitudes, highlighting the commitment of most farmers to the sustainable use of natural resources. Agricultural policies should be developed according to farmers' preferences and behaviors. The design and implementation of measures and policy tools addressing climate change should be inclusive and developed at the micro-level considering farm and farmer typologies.
C1 [Orduno Torres, Miguel Angel; Ornelas Herrera, Selene Ivette] Univ Politecn Cataluna, Inst Res Sustainabil Sci & Technol IS UPC, Barcelona 08034, Spain.
   [Kallas, Zein] Univ Politecn Cataluna, Ctr Res Agrofood Econ & Dev CREDA UPC IRTA, Inst Agrifood Res & Technol, Castelldefels 08860, Spain.
C3 Universitat Politecnica de Catalunya; Universitat Politecnica de
   Catalunya; IRTA
RP Torres, MAO (corresponding author), Univ Politecn Cataluna, Inst Res Sustainabil Sci & Technol IS UPC, Barcelona 08034, Spain.
EM miguel.angel.orduno@upc.edu; zein.kallas@upc.edu;
   selene.ivette.ornelas@upc.edu
RI Kallas, Zein/G-5620-2010
OI Kallas, Zein/0000-0003-2870-3691
FU National Council of Science and Technology (CONACYT)
FX The National Council of Science and Technology (CONACYT) is acknowledged
   for supporting this research.
CR Acquah H. de G., 2011, Journal of Sustainable Development in Africa, V13, P150
   Aguiar WP, 2018, ESTUD DESARRO SOC, V6, P83
   Altieri M., 2009, Revista de Agroecologia LEISA, V24, P5
   Altieri M. A., 2013, AGROECOLOGIA, V8, P7
   Altieri MA, 2015, AGRON SUSTAIN DEV, V35, P869, DOI 10.1007/s13593-015-0285-2
   [Anonymous], 2001, ANAL HIERARCHY PROCE
   Aslam AQ, 2018, SCI TOTAL ENVIRON, V628-629, P1422, DOI 10.1016/j.scitotenv.2018.02.129
   Bertoni D, 2018, AGRICULTURE-BASEL, V8, DOI 10.3390/agriculture8120200
   Bragado M.A., 2016, REGIMEN INT CAMBIO C
   Brick K, 2012, AM J AGR ECON, V94, P133, DOI 10.1093/ajae/aar120
   Castells-Quintana D, 2018, WORLD DEV, V104, P183, DOI 10.1016/j.worlddev.2017.11.016
   Crespo C, 2013, HEALTH ECON REV, V3, DOI 10.1186/2191-1991-3-28
   Croppenstedt A, 2018, GLOB FOOD SECUR-AGR, V16, P65, DOI 10.1016/j.gfs.2017.09.006
   Cachorro JD, 2018, AGR SYST, V165, P164, DOI 10.1016/j.agsy.2018.06.007
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   Drichoutis A., 2012, WHAT CAN MULTIPLE PR
   Dunlap RE, 2000, J SOC ISSUES, V56, P425, DOI 10.1111/0022-4537.00176
   Easley RF, 2000, EUR J OPER RES, V125, P73, DOI 10.1016/S0377-2217(99)00196-4
   Figueroa P, 2014, 2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS (GRAPP 2014), P88
   Flores Campaña Luis Miguel, 2012, Cuad. Geogr. Rev. Colomb. Geogr., V21, P115
   Forman E, 1998, EUR J OPER RES, V108, P165, DOI 10.1016/S0377-2217(97)00244-0
   Galarza F., 2009, Choices under risk in rural Peru
   Galindo L. M., 2014, ESTUDIOS CAMBIO CLIM
   Gan TY, 2016, HYDROLOG SCI J, V61, P1209, DOI 10.1080/02626667.2015.1057143
   Gomera A., 2013, ACCION PSICOLOGICA, V10, P147
   Hajjar R, 2015, FOREST POLICY ECON, V61, P59, DOI 10.1016/j.forpol.2015.08.004
   Hawcroft LJ, 2010, J ENVIRON PSYCHOL, V30, P143, DOI 10.1016/j.jenvp.2009.10.003
   Hoang VN, 2010, ECOL ECON, V69, P1765, DOI 10.1016/j.ecolecon.2010.04.014
   Jin JJ, 2015, LAND USE POLICY, V47, P365, DOI 10.1016/j.landusepol.2015.04.028
   Kallas Z, 2012, FOOD QUAL PREFER, V24, P251, DOI 10.1016/j.foodqual.2011.11.006
   Kallas Z, 2012, APPETITE, V58, P285, DOI 10.1016/j.appet.2011.09.017
   Kallas Z, 2010, AGR ECON-BLACKWELL, V41, P409, DOI 10.1111/j.1574-0862.2010.00454.x
   Khanal U, 2019, SUSTAIN SCI, V14, P1027, DOI 10.1007/s11625-018-0601-2
   Khanal U, 2018, CLIMATIC CHANGE, V148, P575, DOI 10.1007/s10584-018-2214-2
   Kung CC, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093269
   Lara P.E., 2017, AGRIC SOC DESARRO, V14, P577
   Lau C., 2011, CIAT Politicas en Sintesis no. 1, P1
   Lee DR, 2014, GLOBAL ENVIRON CHANG, V29, P78, DOI 10.1016/j.gloenvcha.2014.08.002
   Lezak SB, 2016, J ENVIRON PSYCHOL, V46, P143, DOI 10.1016/j.jenvp.2016.04.005
   Liu X, 2017, J CLEAN PROD, V164, P1239, DOI 10.1016/j.jclepro.2017.07.086
   Lopez F., 2000, PAPELES GEOGRAFIA, V32, P77
   Feldman AJL, 2016, TRIMEST ECON, V83, P459
   Lopez J., 2007, CUADERNOS FUNDACION, P114
   Maia AG, 2018, ECOL ECON, V152, P27, DOI 10.1016/j.ecolecon.2018.05.013
   Mangalassery S, 2015, EUR J SOIL BIOL, V68, P9, DOI 10.1016/j.ejsobi.2015.03.001
   March C., 2014, Monetary incentives in large-scale experiments: A case study of risk aversion
   Mejia J., 2015, TOLERANCIA AVERSION
   Moniruzzaman S, 2015, ECOL ECON, V118, P90, DOI 10.1016/j.ecolecon.2015.07.012
   Moody P., 1992, TOMA DECISIONES GERE, P122
   Moreno-Jimenez J.M., 1998, REV REAL ACAD CIENCI, V92, P387
   Mubiru DN, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9071084
   Mussetta P, 2017, EMPIRIA, P119
   Ndamani F, 2017, ECOL INDIC, V76, P366, DOI 10.1016/j.ecolind.2016.12.012
   Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023
   Nelson G.C., 2009, CAMBIO CLIMATICO IMP, DOI [10.2499/0896295370, DOI 10.2499/0896295370]
   O'Garra T, 2016, J ENVIRON ECON POLIC, V5, P249, DOI 10.1080/21606544.2015.1100560
   Ogen O., 2007, AGR SECTOR NIGERIAS, VNebula, P1960
   Ojeda B., 2012, EFECTOS CAMBIO CLIMA, V4, P71
   Torres MAO, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9010004
   Ortiz R., 2012, CAMBIO CLIMATICO PRO
   Pachauri R.K., 2014, TECNICO INFORME SINT
   Pennings JME, 2001, AM J AGR ECON, V83, P993, DOI 10.1111/0002-9092.00225
   Reyna Cecilia, 2018, Pensam. psicol., V16, P107
   Rivera I., 2013, CAMBIO CLIMATICO IMP
   Rojas R., 2015, GUIA REALIZAR INVEST, V40th, P237
   Saaty T., 1997, Toma de decisiones para lideres. El Proceso Analitico Jerarquico
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   Seo SN, 2008, CHIL J AGR RES, V68, P69, DOI 10.4067/S0718-58392008000100007
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Sifuentes Ibarra Ernesto, 2015, Rev. Mex. Cienc. Agríc, V6, P1903
   Siraj S, 2015, EUR J OPER RES, V242, P557, DOI 10.1016/j.ejor.2014.10.024
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Valladolid F., 2017, **DROPPED REF**
   Von Braun J., 2005, AGR FOOD SECURITY NU
   Vozmediano L., 2005, Medio Ambiente y Comportamiento Humano, V6, P37
   Waha K, 2013, GLOBAL ENVIRON CHANG, V23, P130, DOI 10.1016/j.gloenvcha.2012.11.001
   Wheaton E, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9060970
   Xu B, 2017, ENERG POLICY, V104, P404, DOI 10.1016/j.enpol.2017.02.011
   Yue Q, 2017, J CLEAN PROD, V149, P1011, DOI 10.1016/j.jclepro.2017.02.172
   Zhao XH, 2011, ENRGY PROCED, V5, P2474, DOI 10.1016/j.egypro.2011.03.425
NR 80
TC 28
Z9 29
U1 3
U2 36
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 DEC
PY 2020
VL 99
AR 105031
DI 10.1016/j.landusepol.2020.105031
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA OY8KH
UT WOS:000594489500017
DA 2025-01-10
ER

PT J
AU Bernardino, AF
   Sanders, CJ
   Bissoli, LB
   Gomes, LED
   Kauffman, JB
   Ferreira, TO
AF Bernardino, Angelo F.
   Sanders, Christian J.
   Bissoli, Lorena B.
   Gomes, Luiz Eduardo de O.
   Kauffman, J. Boone
   Ferreira, Tiago O.
TI Land use impacts on benthic bioturbation potential and carbon burial in
   Brazilian mangrove ecosystems
SO LIMNOLOGY AND OCEANOGRAPHY
LA English
DT Article
ID ORGANIC-CARBON; ACCUMULATION RATES; ESTUARINE ASSEMBLAGES; SOIL CARBON;
   BLUE CARBON; FORESTS; MARINE; CLIMATE; STOCKS; SEDIMENT
AB The potential of Blue Carbon as an integral part of global climate change adaptation and mitigation strategies requires quantification of drivers and rates of organic carbon (OC) burial and storage. However, there is limited recognition of how land use impacts benthic assemblages, their bioturbation potential, and OC burial in mangrove forests and tidal flats. Here we evaluated the effects of mangrove deforestation on benthic bioturbation potential (BPc), sediment accretion rates (SARs), and OC and total nitrogen (TN) burial in mangrove soils and tidal flat sediments from three estuaries in tropical Brazil. SARs based on Pb-210 dating varied significantly among undisturbed estuaries (2.1-18.6 mm yr(-1)) and the OC and TN burial rates were respectively 46% and 16% higher than global averages. The cleared mangrove sites had a twofold lower SAR, 40-fold lower OC burial, and over 100-fold lower TN burial when compared to undisturbed forests, revealing the pervasive impacts of land use. Variation in benthic assemblage structure and BPc among sites suggests that the composition and activity of macrofaunal communities may facilitate OC burial in some cases, yet the global extent and significance of bioturbation requires further study. Our work reveals a strong spatial variability in C burial in undisturbed mangrove forests and a decreased capacity of mangroves to accumulate C and sediments due to land use effects.
C1 [Bernardino, Angelo F.; Bissoli, Lorena B.; Gomes, Luiz Eduardo de O.] Univ Fed Espirito Santo, Dept Oceanog, CCHN, Grp Ecol Bent, Vitoria, ES, Brazil.
   [Sanders, Christian J.] Southern Cross Univ, Natl Marine Sci Ctr, Coffs Harbour, NSW, Australia.
   [Kauffman, J. Boone] Oregon State Univ, Dept Fisheries & Wildlife, Corvallis, OR 97331 USA.
   [Ferreira, Tiago O.] Univ Sao Paulo USP ESALQ, Dept Soil Sci, Piracicaba, SP, Brazil.
C3 Universidade Federal do Espirito Santo; Southern Cross University;
   Oregon State University
RP Bernardino, AF (corresponding author), Univ Fed Espirito Santo, Dept Oceanog, CCHN, Grp Ecol Bent, Vitoria, ES, Brazil.
EM angelo.bernardino@ufes.br
RI Ferreira, Tiago/D-3340-2015; Sanders, Christian/AAM-6906-2021; de
   Oliveira Gomes, Luiz Eduardo/Y-8013-2018; Bernardino, Angelo/C-6921-2012
OI Bonno Bissoli de Souza, Lorena/0000-0002-0648-3563; Ferreira, Tiago
   Osorio/0000-0002-4088-7457; de Oliveira Gomes, Luiz
   Eduardo/0000-0002-2735-9625; Bernardino, Angelo/0000-0002-1838-4597;
   Sanders, Christian/0000-0003-0090-0896
FU CAPES; Conselho Nacional de Pesquisa e Desenvolvimento CNPq
   [470542/2013-6, 441243/2016-9, 301161/2017-8]; FundacAo Estadual de
   Amparo a Pesquisa do Espirito Santo [61847429/2013, 7905468/17];
   Australian Research Council [DE160100443]; CNPq
FX We acknowledge students and technicians who helped in field sampling.
   This work and the open access fees were supported by CAPES and Conselho
   Nacional de Pesquisa e Desenvolvimento CNPq (470542/2013-6,
   441243/2016-9, 301161/2017-8), FundacAo Estadual de Amparo a Pesquisa do
   Espirito Santo (61847429/2013 and 7905468/17) to A.F.B. C.J.S. was
   supported by the Australian Research Council (DE160100443). L.B.B. and
   L.E.O.G. acknowledge CAPES and CNPq for graduate scholarships. This is a
   PELD-HCES contribution #09.
CR Adame MF, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0056569
   Aller R.C., 1982, Animal-sediment relations: the biogenic alteration of sediments, P53, DOI [DOI 10.1007/978-1-4757-1317-6_2, 10.1007/978-1-4757-1317-62, DOI 10.1007/978-1-4757-1317-62]
   Alongi DM, 2008, ESTUAR COAST SHELF S, V76, P1, DOI 10.1016/j.ecss.2007.08.024
   Alongi DM, 2005, ESTUAR COAST SHELF S, V63, P605, DOI 10.1016/j.ecss.2005.01.004
   Alongi DM, 2001, MAR GEOL, V179, P85, DOI 10.1016/S0025-3227(01)00195-5
   Anderson MJ, 2003, ECOLOGY, V84, P511, DOI 10.1890/0012-9658(2003)084[0511:CAOPCA]2.0.CO;2
   Andreetta A, 2014, J SEA RES, V85, P524, DOI 10.1016/j.seares.2013.08.010
   Appleby P.G., 1992, URANIUM SERIES DISEQ, P731
   Arias-Ortiz A, 2018, BIOGEOSCIENCES, V15, P6791, DOI 10.5194/bg-15-6791-2018
   Arifanti VB, 2019, FOREST ECOL MANAG, V432, P17, DOI 10.1016/j.foreco.2018.08.047
   Atwood TB, 2015, NAT CLIM CHANGE, V5, P1038, DOI 10.1038/NCLIMATE2763
   Barcellos D, 2019, MAR POLLUT BULL, V142, P58, DOI 10.1016/j.marpolbul.2019.03.031
   Bernardino AF, 2015, ESTUAR COAST SHELF S, V166, P74, DOI 10.1016/j.ecss.2015.05.021
   Bernardino AF, 2018, BRAZ MAR BIODIV, P95, DOI 10.1007/978-3-319-77779-5_4
   Bernardino AF, 2018, MAR POLLUT BULL, V126, P228, DOI 10.1016/j.marpolbul.2017.11.008
   Bernardino AF, 2016, BRAZ J OCEANOGR, V64, DOI 10.1590/S1679-875920160849064sp2
   Bissoli LB, 2018, PEERJ, V6, DOI 10.7717/peerj.4441
   Breithaupt JL, 2014, J GEOPHYS RES-BIOGEO, V119, P2032, DOI 10.1002/2014JG002715
   Breithaupt JL, 2012, GLOBAL BIOGEOCHEM CY, V26, DOI 10.1029/2012GB004375
   Cameron C, 2019, SCI TOTAL ENVIRON, V654, P365, DOI 10.1016/j.scitotenv.2018.11.092
   Chmura GL, 2003, GLOBAL BIOGEOCHEM CY, V17, DOI 10.1029/2002GB001917
   Gomes LED, 2020, SCI TOTAL ENVIRON, V703, DOI 10.1016/j.scitotenv.2019.135490
   Donato DC, 2011, NAT GEOSCI, V4, P293, DOI [10.1038/NGEO1123, 10.1038/ngeo1123]
   Duarte CM, 2013, NAT CLIM CHANGE, V3, P961, DOI [10.1038/NCLIMATE1970, 10.1038/nclimate1970]
   Friess DA, 2019, ANNU REV ENV RESOUR, V44, P89, DOI 10.1146/annurev-environ-101718-033302
   FRY B, 1984, CONTRIB MAR SCI, V27, P13
   Gruber N, 2008, NATURE, V451, P293, DOI 10.1038/nature06592
   Hadlich HL, 2018, ECOL INDIC, V95, P21, DOI 10.1016/j.ecolind.2018.07.027
   Howard J, 2017, FRONT ECOL ENVIRON, V15, P42, DOI 10.1002/fee.1451
   Kauffman JB, 2020, ECOL MONOGR, V90, DOI 10.1002/ecm.1405
   Kauffman JB, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0208
   Kauffman JB, 2018, ECOL EVOL, V8, P5530, DOI 10.1002/ece3.4079
   Kauffman JB, 2017, FRONT ECOL ENVIRON, V15, P183, DOI 10.1002/fee.1482
   Kauffman JB, 2016, WETL ECOL MANAG, V24, P203, DOI 10.1007/s11273-015-9453-z
   Kauffman JB, 2014, ECOL APPL, V24, P518, DOI 10.1890/13-0640.1
   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
   Kondolf GM, 2014, EARTHS FUTURE, V2, P256, DOI 10.1002/2013EF000184
   Krauss KW, 2014, NEW PHYTOL, V202, P19, DOI 10.1111/nph.12605
   Kristensen E, 2008, AQUAT BOT, V89, P201, DOI 10.1016/j.aquabot.2007.12.005
   Kristensen E, 2006, LIMNOL OCEANOGR, V51, P1557, DOI 10.4319/lo.2006.51.4.1557
   Kusumaningtyas MA, 2019, ESTUAR COAST SHELF S, V218, P310, DOI 10.1016/j.ecss.2018.12.007
   Lang'at JKS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107868
   Lee SY, 1998, MAR FRESHWATER RES, V49, P335, DOI 10.1071/MF97179
   Lovelock CE, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005600
   MacKenzie RA, 2016, WETL ECOL MANAG, V24, P245, DOI 10.1007/s11273-016-9481-3
   Mckee KL, 2007, GLOBAL ECOL BIOGEOGR, V16, P545, DOI 10.1111/j.1466-8238.2007.00317.x
   Mcleod E, 2011, FRONT ECOL ENVIRON, V9, P552, DOI 10.1890/110004
   Mehring AS, 2017, ECOL APPL, V27, P1852, DOI 10.1002/eap.1572
   Murdiyarso D, 2015, NAT CLIM CHANGE, V5, P1089, DOI [10.1038/nclimate2734, 10.1038/NCLIMATE2734]
   Pérez A, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2018.0237
   Pérez A, 2017, ESTUAR COAST SHELF S, V192, P108, DOI 10.1016/j.ecss.2017.05.009
   Queirós AM, 2015, PROG OCEANOGR, V137, P559, DOI 10.1016/j.pocean.2015.04.027
   Queirós AM, 2013, ECOL EVOL, V3, P3958, DOI 10.1002/ece3.769
   Sanderman J, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabe1c
   Sanders CJ, 2014, GEOPHYS RES LETT, V41, P2475, DOI 10.1002/2014GL059789
   Sanders CJ, 2010, J S AM EARTH SCI, V30, P189, DOI 10.1016/j.jsames.2010.10.001
   Sanders CJ, 2010, ESTUAR COAST SHELF S, V90, P168, DOI 10.1016/j.ecss.2010.08.013
   Sasmito SD, 2019, GLOBAL CHANGE BIOL, V25, P4291, DOI 10.1111/gcb.14774
   Serrano O, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-12176-8
   Servino RN, 2018, SCI TOTAL ENVIRON, V628-629, P233, DOI 10.1016/j.scitotenv.2018.02.068
   Sippo JZ, 2018, ESTUAR COAST SHELF S, V215, P241, DOI 10.1016/j.ecss.2018.10.011
   Solan M, 2004, SCIENCE, V306, P1177, DOI 10.1126/science.1103960
   Suárez-Abelenda M, 2014, GEODERMA, V213, P551, DOI 10.1016/j.geoderma.2013.08.007
   Sweetman AK, 2010, BIOGEOSCIENCES, V7, P2129, DOI 10.5194/bg-7-2129-2010
   Thomson ACG, 2019, LIMNOL OCEANOGR, V64, P342, DOI 10.1002/lno.11044
   Wang FM, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-13294-z
   Ward Raymond D., 2016, Ecosystem Health and Sustainability, V2, pe01211, DOI 10.1002/ehs2.1211
   Weiss C, 2016, ECOL EVOL, V6, P5043, DOI 10.1002/ece3.2258
NR 68
TC 24
Z9 26
U1 6
U2 61
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0024-3590
EI 1939-5590
J9 LIMNOL OCEANOGR
JI Limnol. Oceanogr.
PD OCT
PY 2020
VL 65
IS 10
BP 2366
EP 2376
DI 10.1002/lno.11458
EA MAY 2020
PG 11
WC Limnology; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Marine & Freshwater Biology; Oceanography
GA OD4DZ
UT WOS:000531299500001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ifaei, P
   Safder, U
   Yoo, C
AF Ifaei, Pouya
   Safder, Usman
   Yoo, ChangKyoo
TI Multi-scale smart management of integrated energy systems, Part 1:
   Energy, economic, environmental, exergy, risk (4ER) and water-exergy
   nexus analyses
SO ENERGY CONVERSION AND MANAGEMENT
LA English
DT Article
DE 4ER analysis; Climate changes adaptation; Integrated energy conversion
   system; Power and cooling cogeneration; Steam jet ejector; Water-exergy
   nexus analysis
ID ORGANIC RANKINE-CYCLE; STEAM POWER-PLANT; MULTIOBJECTIVE OPTIMIZATION;
   PARAMETRIC OPTIMIZATION; REFRIGERATION CHILLERS; THERMAL COMFORT;
   CLIMATE-CHANGE; CONSUMPTION; EJECTOR; DESIGN
AB A holistic analytical approach is proposed to study the performance of fossil fuel burning integrated energy conversion systems considering energetic, economic, exergetic, environmental and risk (4ER) aspects in a framework. For this, life cycle assessment is conducted to study environmental impacts while other analyses are performed using the algebraic thermo-mathematical programming. The hazardous risks are also investigated using a hazard and operability approach. The external hot and cold utilities are also studied using a novel water-exergy nexus (WExN) analysis. Accordingly, two configurations are developed that integrate a Rankine cycle (RC) and an ejector refrigeration cycle (ERC) for two purposes: power and cooling co-generation (CGS) and power generation (MGS). Water losses in both systems are studied considering three cold utilities and two fossil fuel cycles using the WExN analysis, and the performance of the CGS and the MGS are compared employing several organic fluids. The results showed that the MGS had greater energetic and exergetic efficiencies, better environmental performance, and less hazardous risk impacts compared to the CGS employing almost all working fluids. The smallest exergy loss in the cooling system was 3.90 MW and 7.94 MW in the MGS allocating R123 and the CGS using R718, respectively.
C1 [Ifaei, Pouya; Safder, Usman; Yoo, ChangKyoo] Kyung Hee Univ, Coll Engn, Dept Environm Sci & Engn, Ctr Environm Studies, Seocheon Dong 1, Yongin 446701, Gyeonggi Do, South Korea.
C3 Kyung Hee University
RP Yoo, C (corresponding author), Kyung Hee Univ, Coll Engn, Dept Environm Sci & Engn, Ctr Environm Studies, Seocheon Dong 1, Yongin 446701, Gyeonggi Do, South Korea.
EM ckyoo@khu.ac.kr
RI Safder, Usman/AAC-6881-2021; Ifaei, Pouya/AAD-8907-2019; 유,
   창규/AAJ-1226-2020
OI Safder, Usman/0000-0002-2380-8112; Yoo, ChangKyoo/0000-0002-9406-7649;
   Ifaei, Pouya/0000-0002-6898-8583
FU National Research Foundation (NRF) - Korean government (MSIT)
   [NRF-2017R1E1A1A03070713]; Korea Ministry of Environment (MOE)
FX This work was supported by the National Research Foundation (NRF) grant
   funded by the Korean government (MSIT) (No. NRF-2017R1E1A1A03070713),
   and Korea Ministry of Environment (MOE) as Graduate School specialized
   in Climate Change.
CR Balyani HH, 2015, INT J REFRIG, V57, P112, DOI 10.1016/j.ijrefrig.2015.04.008
   Besagni G, 2016, RENEW SUST ENERG REV, V53, P373, DOI 10.1016/j.rser.2015.08.059
   Cai YP, 2019, RENEW SUST ENERG REV, V99, P125, DOI 10.1016/j.rser.2018.10.001
   Calm J.M., 2007, HPAC Eng (Heat Pip Air Cond), P50
   Cassetti G, 2014, ENERGY, V74, P269, DOI 10.1016/j.energy.2014.07.043
   Chaiyat N, 2015, ENERGY, V91, P363, DOI 10.1016/j.energy.2015.08.057
   Chau CK, 2015, APPL ENERG, V143, P395, DOI 10.1016/j.apenergy.2015.01.023
   Chen SQ, 2016, APPL ENERG, V184, P905, DOI 10.1016/j.apenergy.2016.03.042
   Cavalcanti EJC, 2017, RENEW SUST ENERG REV, V67, P507, DOI 10.1016/j.rser.2016.09.017
   Collins R., 2009, WATER RESOURCES EURO
   Consultants P., 2000, EC 99 MAN DES
   Cramer W., 2018, NAT CLIM CHANGE, V1
   Dincer I, 2012, EXERGY ENERGY
   Ding Y, 2018, ENERGY, V145, P52, DOI 10.1016/j.energy.2017.12.123
   Dubreuil A, 2013, APPL ENERG, V101, P268, DOI 10.1016/j.apenergy.2012.06.032
   Esfahani IJ, 2013, ENERGY, V59, P340, DOI 10.1016/j.energy.2013.07.040
   Fthenakis V, 2010, RENEW SUST ENERG REV, V14, P2039, DOI 10.1016/j.rser.2010.03.008
   Gebreslassie BH, 2012, RENEW ENERG, V46, P100, DOI 10.1016/j.renene.2012.03.023
   Geodkoop M, 2000, ECOINDICATOR 99 DAMA
   Gerber L, 2012, ENERGY, V45, P908, DOI 10.1016/j.energy.2012.06.068
   GLEICK PH, 1994, ANNU REV ENERG ENV, V19, P267, DOI 10.1146/annurev.eg.19.110194.001411
   Haag U, 2005, GUIDELINES QUANTITAT
   Hamiche AM, 2016, RENEW SUST ENERG REV, V65, P319, DOI 10.1016/j.rser.2016.07.020
   Howells M, 2013, NAT CLIM CHANGE, V3, P621, DOI [10.1038/NCLIMATE1789, 10.1038/nclimate1789]
   Hussey K, 2012, ECOL SOC, V17, DOI 10.5751/ES-04641-170131
   Hutson S.S., 2004, Circular 1268, P46
   Ifaei P, 2019, J CLEAN PROD, V208, P753, DOI 10.1016/j.jclepro.2018.10.150
   Ifaei P, 2017, ENERG CONVERS MANAGE, V153, P257, DOI 10.1016/j.enconman.2017.10.014
   Ifaei P, 2016, ENERG CONVERS MANAGE, V123, P610, DOI 10.1016/j.enconman.2016.06.036
   Ifaei P, 2016, ENERG CONVERS MANAGE, V123, P625, DOI 10.1016/j.enconman.2016.06.030
   Kang ZH, 2015, APPL THERM ENG, V89, P323, DOI 10.1016/j.applthermaleng.2015.06.024
   Kletz T.A., 1999, HAZOP HAZAN IDENTIFY, V4th, DOI [10.1201/9780203752227, DOI 10.1201/9780203752227]
   Lees F., 2012, LEESLOSS PREVENTION
   Liu C, 2013, ENERGY, V56, P144, DOI 10.1016/j.energy.2013.04.045
   Ma ZW, 2017, INT J REFRIG, V75, P117, DOI 10.1016/j.ijrefrig.2016.12.005
   Mabrouk AA, 2007, DESALINATION, V205, P354, DOI 10.1016/j.desal.2006.02.059
   Martínez-Gomez J, 2017, J ENVIRON MANAGE, V203, P962, DOI 10.1016/j.jenvman.2017.07.001
   Meldrum J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015031
   Misra RD, 2006, INT J REFRIG, V29, P47, DOI 10.1016/j.ijrefrig.2005.05.015
   Moghimi M, 2018, APPL THERM ENG, V141, P516, DOI 10.1016/j.applthermaleng.2018.05.075
   Mohtaram S, 2017, ENERG CONVERS MANAGE, V134, P77, DOI 10.1016/j.enconman.2016.12.024
   Mokhtari H, 2017, ENERGY, V118, P399, DOI 10.1016/j.energy.2016.12.064
   Parikhani T, 2018, ENERGY, V153, P265, DOI 10.1016/j.energy.2018.01.153
   Rausand M., 2013, Risk Assessment: Theory, Methods, and Applications
   Safder U, 2018, ENERG CONVERS MANAGE, V166, P602, DOI 10.1016/j.enconman.2018.04.030
   Smart A., 2009, Waterlines report, P34
   Sohani A, 2019, ENERG CONVERS MANAGE, V188, P177, DOI 10.1016/j.enconman.2019.02.079
   Sohani A, 2018, ENERG CONVERS MANAGE, V172, P248, DOI 10.1016/j.enconman.2018.07.008
   Sohani A, 2017, ENERG CONVERS MANAGE, V150, P463, DOI 10.1016/j.enconman.2017.08.028
   Wang SG, 2019, APPL ENERG, V233, P827, DOI 10.1016/j.apenergy.2018.10.056
NR 50
TC 41
Z9 41
U1 0
U2 27
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0196-8904
EI 1879-2227
J9 ENERG CONVERS MANAGE
JI Energy Conv. Manag.
PD OCT 1
PY 2019
VL 197
AR 111851
DI 10.1016/j.enconman.2019.111851
PG 21
WC Thermodynamics; Energy & Fuels; Mechanics
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Thermodynamics; Energy & Fuels; Mechanics
GA IZ6BB
UT WOS:000487165700005
DA 2025-01-10
ER

PT J
AU Greenan, BJW
   Shackell, NL
   Ferguson, K
   Greyson, P
   Cogswell, A
   Brickman, D
   Wang, ZL
   Cook, A
   Brennan, CE
   Saba, VS
AF Greenan, Blair J. W.
   Shackell, Nancy L.
   Ferguson, Kiyomi
   Greyson, Philip
   Cogswell, Andrew
   Brickman, David
   Wang, Zeliang
   Cook, Adam
   Brennan, Catherine E.
   Saba, Vincent S.
TI Climate Change Vulnerability of American Lobster Fishing Communities in
   Atlantic Canada
SO FRONTIERS IN MARINE SCIENCE
LA English
DT Article
DE climate change; lobster; thermal habitat; coastal vulnerability; harbor
   infrastructure; climate projections; fishery management
ID EPIZOOTIC SHELL DISEASE; HOMARUS-AMERICANUS; SCOTIAN SHELF; RANGE
   SHIFTS; OCEAN; GULF; TEMPERATURE; VARIABILITY; RECRUITMENT; MATURITY
AB Climate change impacts on fisheries will undoubtedly have socio-economic impacts on coastal communities and the seafood market. However, it is a challenge to integrate climate change information in a form that can be used efficiently by adaptation planners, policy makers, and fishery managers. In this study, we frame a climate change impact assessment using a geographical perspective based on the management units of the dominant fishery, in this case, American lobster in Nova Scotia, Canada. The information considered here includes economic dependence on the fishery, population size, diversity of the fishery revenue, status of harbor infrastructure, total replacement cost of each harbor, increased relative sea level and flooding, and the vulnerability of offshore lobster to ocean warming and changes in zooplankton composition and anticipatory changes in fishery productivity across management borders. Using two ocean models to provide multi-decadal scale projections of bottom temperature, changes in offshore lobster distribution are projected to have a neutral, or positive impact on the region as a whole. However, when lobster vulnerability is combined with climate change related vulnerabilities of coastal fishing communities, it is evident that adaptation planning is needed for long-term sustainability. This impact assessment provides both a framework and information for further in-depth analyses by climate change adaptation planners and fishery managers.
C1 [Greenan, Blair J. W.; Shackell, Nancy L.; Ferguson, Kiyomi; Greyson, Philip; Cogswell, Andrew; Brickman, David; Wang, Zeliang; Cook, Adam; Brennan, Catherine E.] Bedford Inst Oceanog, Fisheries & Oceans Canada, Dartmouth, NS, Canada.
   [Saba, Vincent S.] Princeton Univ Forrestal, Northeast Fisheries Sci Ctr, Geophys Fluid Dynam Lab, NOAH Natl Marine Fisheries Serv, Princeton, NJ USA.
C3 Fisheries & Oceans Canada; Bedford Institute of Oceanography; National
   Oceanic Atmospheric Admin (NOAA) - USA
RP Greenan, BJW (corresponding author), Bedford Inst Oceanog, Fisheries & Oceans Canada, Dartmouth, NS, Canada.
EM blair.greenan@dfo-mpo.gc.ca
RI Greenan, Blair/JAD-0075-2023; Shackell, Nancy/AAF-8209-2019; Saba,
   Vincent/A-3799-2010
OI Brennan, Catherine/0000-0003-2593-7222; Shackell,
   Nancy/0000-0001-5128-948X
FU Fisheries and Oceans Canada through the Aquatic Climate Change
   Adaptation Services Program (ACCASP)
FX This research was funded by Fisheries and Oceans Canada through the
   Aquatic Climate Change Adaptation Services Program (ACCASP).
CR AIKEN DE, 1986, CAN J FISH AQUAT SCI, V43, P2258, DOI 10.1139/f86-277
   [Anonymous], 2017, Generalized Additive Models: An Introduction With R, DOI DOI 10.1201/9781315370279
   [Anonymous], 2015, Atlantic States Marine Fisheries Commission: American Lobster Stock Assessment Peer Review Report, P493
   BERNIER RY, 2018, CANADIAN TECHNICAL R, V3167
   Boudreau SA, 2015, J ANIM ECOL, V84, P840, DOI 10.1111/1365-2656.12322
   Brennan CE, 2019, PROG OCEANOGR, V171, P1, DOI 10.1016/j.pocean.2018.12.005
   Brickman D, 2018, CONT SHELF RES, V156, P11, DOI 10.1016/j.csr.2018.01.001
   Brickman D, 2016, ATMOS OCEAN, V54, P218, DOI 10.1080/07055900.2015.1094026
   Brickman D, 2016, Can. Tech. Rep. Hydrogr. Ocean Sci., V315
   Carloni JT, 2018, B MAR SCI, V94, P719, DOI 10.5343/bms.2017.1150
   Castro KM, 2006, J CRUSTACEAN BIOL, V26, P646, DOI 10.1651/S-2761a.1
   Cheng LJ, 2017, SCI ADV, V3, DOI 10.1126/sciadv.1601545
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Cogswell A, 2018, OCEAN COAST MANAGE, V160, P46, DOI 10.1016/j.ocecoaman.2018.03.041
   Colburn LL, 2016, MAR POLICY, V74, P323, DOI 10.1016/j.marpol.2016.04.030
   COOK AM, 2017, 41 LFA DFO CSAS
   DEVINE L, 2017, CHEM BIOL OCEANOGRAP
   *DFO, 2018, SEAF 2016 VAL ATL CO
   *DFO, 2009, 2009026 DFO CSAS
   FOGARTY MJ, 2007, NE CLIM IMPACTS ASS, V1, P33
   Friedland KD, 2019, ICES J MAR SCI, V76, P1316, DOI 10.1093/icesjms/fsy167
   Fulton R.J., 1995, SURFICIAL MAT CANADA
   Glenn RP, 2006, J CRUSTACEAN BIOL, V26, P639, DOI 10.1651/S-2754.1
   Greenan B. J. W, 2018, Canada's changing climate report, P343
   GREENAN BJW, 2018, CANADIAN TECHNICAL R, V3245
   Griffies SM, 2009, OCEAN MODEL, V26, P1, DOI 10.1016/j.ocemod.2008.08.007
   Hare JA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0146756
   Jewett L., 2017, Climate Science Special Report: Fourth National Climate Assessment, V1, P364
   JOHNSON CL, 2018, 2018017 DFO CSAS
   Kleisner KM, 2017, PROG OCEANOGR, V153, P24, DOI 10.1016/j.pocean.2017.04.001
   Kleisner KM, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0149220
   Lawton Peter, 1995, P47, DOI 10.1016/B978-012247570-2/50026-8
   Le Bris A, 2018, P NATL ACAD SCI USA, V115, P1831, DOI 10.1073/pnas.1711122115
   Link JS, 2011, FISH FISH, V12, P461, DOI 10.1111/j.1467-2979.2010.00398.x
   Lowen JB, 2017, MAR ECOL PROG SER, V570, P173, DOI 10.3354/meps12077
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   Merilä J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137
   Meyer-Gutbrod EL, 2018, OCEANOGRAPHY, V31, P19, DOI 10.5670/oceanog.2018.209
   Mills KE, 2013, OCEANOGRAPHY, V26, P191, DOI 10.5670/oceanog.2013.27
   Noel S, 2006, PROCEEDINGS OF THE FIFTY-SECOND IEEE HOLM CONFERENCE ON ELECTRICAL CONTACTS, P1
   Oliver ECJ, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03732-9
   Perretti CT, 2017, MAR ECOL PROG SER, V574, P1, DOI 10.3354/meps12183
   PIELOU EC, 1966, J THEOR BIOL, V13, P131, DOI 10.1016/0022-5193(66)90013-0
   Pinsky ML, 2012, CLIMATIC CHANGE, V115, P883, DOI 10.1007/s10584-012-0599-x
   Poloczanska ES, 2013, NAT CLIM CHANGE, V3, P919, DOI [10.1038/nclimate1958, 10.1038/NCLIMATE1958]
   *R COR TEAM, 2018, R LANG ENV STATD COM
   Rascle N, 2008, OCEAN MODEL, V25, P154, DOI 10.1016/j.ocemod.2008.07.006
   Rascle N, 2013, OCEAN MODEL, V70, P174, DOI 10.1016/j.ocemod.2012.12.001
   Record NR, 2019, OCEANOGRAPHY, V32, P162, DOI 10.5670/oceanog.2019.201
   Record NR, 2019, PEERJ, V7, DOI 10.7717/peerj.6735
   Reed D, 2019, FISH OCEANOGR, V28, P256, DOI 10.1111/fog.12406
   Rheuban JE, 2017, J GEOPHYS RES-OCEANS, V122, P9387, DOI 10.1002/2017JC012949
   Saba VS, 2016, J GEOPHYS RES-OCEANS, V121, P118, DOI 10.1002/2015JC011346
   Saha S, 2010, B AM METEOROL SOC, V91, P1015, DOI 10.1175/2010BAMS3001.1
   Shackell Nancy L., 2019, Journal of Northwest Atlantic Fishery Science, V50, P25, DOI 10.2960/J.v50.m716
   Shackell NL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0090662
   Smale DA, 2019, NAT CLIM CHANGE, V9, P306, DOI 10.1038/s41558-019-0412-1
   Smolowitz R, 2005, J SHELLFISH RES, V24, P749
   Sorte CJB, 2010, ECOLOGY, V91, P2198, DOI 10.1890/10-0238.1
   Stanley RRE, 2018, SCI ADV, V4, DOI 10.1126/sciadv.aaq0929
   Staudinger MD, 2019, FISH OCEANOGR, V28, P532, DOI 10.1111/fog.12429
   Stortini CH, 2017, GLOBAL CHANGE BIOL, V23, P2284, DOI 10.1111/gcb.13534
   Stortini CH, 2015, ICES J MAR SCI, V72, P1731, DOI 10.1093/icesjms/fsv022
   Tanaka KR, 2019, ICES J MAR SCI, V76, P884, DOI 10.1093/icesjms/fsz024
   Tanaka KR, 2019, CAN J FISH AQUAT SCI, V76, P608, DOI 10.1139/cjfas-2018-0075
   Tlusty MF, 2012, J SHELLFISH RES, V31, P533, DOI 10.2983/035.031.0213
   Wang ZL, 2016, J GEOPHYS RES-OCEANS, V121, P5338, DOI 10.1002/2016JC011721
   Wernberg T, 2011, J EXP MAR BIOL ECOL, V400, P7, DOI 10.1016/j.jembe.2011.02.021
   Wheeler JO., 1996, Geological Survey of Canada Map 1860A, DOI [DOI 10.4095/208175, 10.4095/208175]
   Wood SN, 2004, J AM STAT ASSOC, V99, P673, DOI 10.1198/016214504000000980
   Zisserson B, 2017, FISH RES, V195, P12, DOI 10.1016/j.fishres.2017.06.009
NR 71
TC 46
Z9 51
U1 4
U2 62
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 13
PY 2019
VL 6
AR 579
DI 10.3389/fmars.2019.00579
PG 18
WC Environmental Sciences; Marine & Freshwater Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Marine & Freshwater Biology
GA IX5WC
UT WOS:000485753300002
OA gold
DA 2025-01-10
ER

PT J
AU Ahmed, S
   Nahiduzzaman, HM
   Hasan, MMU
AF Ahmed, Sohel
   Nahiduzzaman, H. Md
   Hasan, Md Musleh Uddin
TI Dhaka, Bangladesh: unpacking challenges and reflecting on unjust
   transitions
SO CITIES
LA English
DT Article
DE Dhaka; City planning and development; Disaster; Land; History; Growth;
   Transport
ID CLIMATE-CHANGE ADAPTATION; URBAN FLOOD MANAGEMENT; ORGANIZED
   ENCROACHMENT; EARTHQUAKE HAZARD; GREATER DHAKA; CITY; RESILIENCE;
   GROWTH; VULNERABILITY; PREPAREDNESS
AB The paper initially provides a succinct overview of physical growth and socio-cultural distinctiveness of Dhaka (the capital city of Bangladesh) - shaped by its primacy in the national and regional hierarchy for more than 400 years. The paper primarily assesses the challenges that Dhaka is currently facing. It is Bangladesh's most unequal city. Despite a historical legacy of formal and civic committee based planning experience, it has remained an organically developed city without effective interventions from planning and implementing agencies to make it more liveable for the poor. Transport policy and interventions are antagonistic towards rickshaws, walking and cycling. The mega city has neither efficient public transport nor mass transit. It only has insufficient urban water transport. Informality of living and jobs are highly ingrained in its everyday lifeline, mainly contributed by the bosti dwellers for whom land use distribution and land ownership are much disproportionate, skewed and unjust. Although they are the majority, service and infrastructure provisions including housing, health, transportation, and safety remained highly compromised for them. With 'systemic invasion' of its land around rivers, lakes and other water-bodies and wetlands by the 'elites', the city is becoming less liveable. It is more prone to floods as it currently has no formal adaptation, disaster risk reduction or prevention policies, practices or initiatives in place.
C1 [Ahmed, Sohel] UCL, Dev Planning Unit, London, England.
   [Nahiduzzaman, H. Md] King Fahd Univ Petr & Minerals, Dept City & Reg Planning, Dhahran, Saudi Arabia.
   [Hasan, Md Musleh Uddin] BUET, Dept Urban & Reg Planning, Dhaka, Bangladesh.
C3 University of London; University College London; King Fahd University of
   Petroleum & Minerals; Bangladesh University of Engineering & Technology
   (BUET)
RP Ahmed, S (corresponding author), UCL, Dev Planning Unit, London, England.
EM sohel.ahmed@ucl.ac.uk; nahid@kfupm.edu.sa; musleh_uddin@urp.buet.ac.bd
OI Nahiduzzaman, Prof. Kh/0000-0002-5254-3336; Hasan, Md.
   Musleh/0000-0003-3718-0108; Ahmed, Sohel/0000-0002-7189-7164
CR ADB (Asian Development Bank), 2001, URB TRANSP POL PAP
   Ahmad S., 2006, BANGLADESH J GEOLOGY
   Ahmed S., 2010, S ASIA LAUNCH GLOBAL
   Ahmed S., 2015, International Journal of Sustainable Built Environment, V4, P359, DOI 10.1016/j.ijsbe.2015.07.003
   Ahmed S., 2011, Dr. Diss.
   Ahmed Sohel J., 2012, URISA Journal, V24, P9
   Ahmed SJ, 2014, SPRING GEOGR, P123, DOI 10.1007/978-94-007-6735-5_7
   Ahmed SJ, 2014, SPRING GEOGR, P23, DOI 10.1007/978-94-007-6735-5_2
   Ahsan R. M., 2009, DHAKA PRESENT FUTURE, P431
   Ajibade I., 2016, J EXTREME EVENTS, V3
   Alam M. S., 2011, INT J CIVIL ENV ENG, V11, P29
   Alam MJ, 2014, SUSTAIN CITIES SOC, V10, P49, DOI 10.1016/j.scs.2013.05.006
   Alam MJ, 2010, INT J URBAN SUSTAIN, V2, P85, DOI 10.1080/19463138.2010.512809
   Alam M, 2007, ENVIRON URBAN, V19, P81, DOI 10.1177/0956247807076911
   AMNH (American Museum of Natural History), 2017, EARTHQ RISK BANGL
   Angel S., 2005, The dynamics of global urban expansion p, P205
   [Anonymous], 2012, PA DAILY PROTHOM ALO
   [Anonymous], 2017, DS THE DAILY STAR
   [Anonymous], 2014, DAILY START DS  0724
   [Anonymous], 2016, DS THE DAILY STAR
   [Anonymous], 2016, DAILY STAR
   [Anonymous], DHAK METR DEV PLAN D
   [Anonymous], 2006, SLUMS BANGLADESH MAP
   [Anonymous], 2011, DAILY STAR DS   0409
   [Anonymous], MEG MEG CLIM VULN RA
   [Anonymous], 2014, DAILY STAR DS   0702
   [Anonymous], 2016, J EXTREME EVENTS, DOI DOI 10.1142/S2345737616500214
   [Anonymous], 2015, WORLD FACTBOOK
   [Anonymous], 2013, Life as Politics
   [Anonymous], 2013, FLOODS MEGACITY GEOS
   [Anonymous], THESIS
   [Anonymous], 2007, DS DAILY STAR   0812
   [Anonymous], J ENV POLICY PLANNIN
   [Anonymous], CHINUNRENGA
   [Anonymous], 2012, DAILY STAR
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Bangladesh Bureau of Statistics (BBS), 2013, DISTR STAT 2011 GAZ
   Banks N, 2016, DEV CHANGE, V47, P266, DOI 10.1111/dech.12219
   Basu I., 2012, STATE CITIES URBAN G
   Baud ISA, 2009, HABITAT INT, V33, P365, DOI 10.1016/j.habitatint.2008.10.024
   BBS, 2003, POP CENS 2001 NAT RE
   BBS (Bangladesh Bureau of Statistics), 2013, DISTR STAT 2011 NAR
   BBS (Bangladesh Bureau of Statistics), 2012, COMM REP ZIL DHAK
   BGMEA (Bangladesh Garments Manufacturerr and Exporters Association), 2015, MEMB LIST
   Black R, 2011, NATURE, V478, P447, DOI 10.1038/478477a
   Braun B, 2011, NAT HAZARDS, V58, P771, DOI 10.1007/s11069-011-9752-5
   Broto VC, 2014, INT DEV PLANN REV, V36, P257, DOI 10.3828/idpr.2014.23
   Brown D, 2014, Understanding Children's Risk and Agency in Urban Areas and Their Implications for Child-Centred Urban Disaster Risk Reduction in Asia: Insights from Dhaka, Kathmandu, Manila and Jakarta
   Carter B., 2015, 1207 GSDRC U BIRM
   Chowdhury A.M., 2009, DHAKA PRESENT FUTURE, P43
   Cox W., 2017, DEMOGRAPHIA
   Davies G.H.
   Debnath R, 2016, ENVIRON PLANN B, V43, P580, DOI 10.1177/0265813515618565
   Dewan AM, 2007, WATER RESOUR MANAG, V21, P1601, DOI 10.1007/s11269-006-9116-1
   Dewan AM, 2014, SPRING GEOGR, P345, DOI 10.1007/978-94-007-6735-5_19
   Dewan AM, 2012, INT J ENVIRON SUSTAI, V11, P118, DOI 10.1504/IJESD.2012.049178
   Dewan AM, 2009, APPL GEOGR, V29, P390, DOI 10.1016/j.apgeog.2008.12.005
   Dupuis J, 2013, GLOBAL ENVIRON CHANG, V23, P1476, DOI 10.1016/j.gloenvcha.2013.07.022
   Ehsan M., 2015, THESIS
   Eisenberger A., 2015, ASIEN, V134, P95
   Ericson JP, 2006, GLOBAL PLANET CHANGE, V50, P63, DOI 10.1016/j.gloplacha.2005.07.004
   Ezaz S. M., 2005, THESIS
   Ferdous I, 2015, J GEOGR INST JOVAN C, V65, P91, DOI 10.2298/IJGI1501091F
   Gadepalli S., 2006, BANNING RICKSHAW RIC
   Gilbert A, 2007, INT J URBAN REGIONAL, V31, P697, DOI 10.1111/j.1468-2427.2007.00754.x
   GoB (Government of Bangladesh), 2016, SRO 201 2016 BANGL G
   Gruebner O., 2014, DATASET PAPERS SCI
   Hackenbroch K, 2012, PLAN THEORY PRACT, V13, P397, DOI 10.1080/14649357.2012.694265
   Harris AM, 2008, AM J TROP MED HYG, V79, P708, DOI 10.4269/ajtmh.2008.79.708
   Hashizume M, 2008, J WATER HEALTH, V6, P323, DOI 10.2166/wh.2008.062
   Hogue M. S., 2006, NETWORK, V1, P302
   Hossain N, 2014, IOSR J HUMANIT SOC S, V19, P66, DOI DOI 10.9790/0837-191176673
   Hossain S., 2008, Journal of Sociology, V5, P1
   Huq S., 1999, ENV HAZARDS DHAKA ME, P119
   Hyder Z., 1994, THESIS
   Islam I., 2013, BIP WORKSH
   Islam M.A., 2017, THESIS
   Islam M.S., 2015, J ENV SCI NATURAL RE, V6, P107, DOI [https://doi.org/10.3329/jesnr.v6i1.22049, DOI 10.3329/JESNR.V6I1.22049]
   Islam MS, 2007, J APPL MICROBIOL, V103, P80, DOI 10.1111/j.1365-2672.2006.03234.x
   Islam M.Z., 2007, THESIS
   Islam N., 1999, ASIAN CITIES 21 CENT, P71
   Islam N., 2005, Dhaka Now: Contemporary Urban Development
   Islam Nazrul., 1996, DHAKA CITY MEGACITY
   Islam S., 2007, BANGLAPEDIA NATL ENC, V3
   Jabeen H., 2013, CITIES AT RISK, P149
   Jabeen H, 2015, HABITAT INT, V47, P307, DOI 10.1016/j.habitatint.2015.02.005
   Jabeen H, 2014, ENVIRON URBAN, V26, P147, DOI 10.1177/0956247813517851
   Jabeen H, 2010, ENVIRON URBAN, V22, P415, DOI 10.1177/0956247810379937
   Jameson S, 2016, HABITAT INT, V54, P112, DOI 10.1016/j.habitatint.2015.12.015
   JICA, 2010, Dhaka Urban Transport Network Development Study (DHUTS)- Final Report
   KALABAMU FT, 1987, HABITAT INT, V11, P123, DOI 10.1016/0197-3975(87)90063-4
   Kalam AA., 2009, J BANGLADESH I PLAN, V2, P1
   Karim A, 2009, DHAKA PRESENT FUTURE, P34
   Keim ME, 2008, AM J PREV MED, V35, P508, DOI 10.1016/j.amepre.2008.08.022
   Khan F., 2015, IJRET INT J RES ENG, V4, P499
   Khan MMH, 2014, NAT HAZARDS, V70, P549, DOI 10.1007/s11069-013-0829-1
   Labowitz S., 2015, Beyond the tip of the iceberg: Bangladesh's forgotten apparel workers
   Levy C., 2018, SUSTAINABLE CITIES A, P7
   Masood M, 2012, NAT HAZARDS, V61, P757, DOI 10.1007/s11069-011-0060-x
   Mawla Q. A., 2017, INT C ENG RES INN ED
   Mohit M. A., 1992, URBAN LAND MANAGEMEN, P99
   Nahlduzzaman K. M., 2004, AS C EARTHQ ENG ACEE
   Nahlduzzaman K. M., 2006, ACTA GEOGRAPHICA B
   Nahlduzzaman K. M., 2012, THESIS
   Osuteye E, 2017, INT J DISAST RISK RE, V26, P24, DOI 10.1016/j.ijdrr.2017.09.026
   Parvin GA, 2011, RISK HAZARDS CRISIS, V2, DOI 10.2202/1944-4079.1069
   Parvin GA, 2015, DISAST RISK REDUCT, P235, DOI 10.1007/978-4-431-55411-0_13
   Paul BK, 2010, DISASTERS, V34, P337, DOI 10.1111/j.1467-7717.2009.01132.x
   Pelling M, 2013, MEGACITIES AND THE COAST: RISK, RESILIENCE AND TRANSFORMATION, P200
   Peng K., 2014, CAN WE BUILD DHAKA O
   Pfeffer K, 2011, ENVIRON URBAN ASIA, V2, P235, DOI 10.1177/097542531100200207
   Pramanik MMA, 2016, ENVIRON PLANN B, V43, P756, DOI 10.1177/0265813515595406
   Rahman M., 2013, J. Sci. Found, V9, P65, DOI [10.3329/jsf.v9i1-2.14649, DOI 10.3329/JSF.V9I1-2.14649]
   Rahman ML, 2016, AIP CONF PROC, V1754, DOI 10.1063/1.4958404
   RAJUK, 2015, DRAFT DHAK STRUCT PL
   Rashid SF, 2009, J HEALTH POPUL NUTR, V27, P574, DOI 10.3329/jhpn.v27i4.3403
   Reliefweb, 2012, MAPL CLIM CHANG VULN
   Roy M, 2009, HABITAT INT, V33, P276, DOI 10.1016/j.habitatint.2008.10.022
   RSTP, 2015, REV STRAT TRANSP PLA
   SG, 2017, PLAC STAND GOOD IS O
   Siddiqui K., 2004, Megacity governance in South Asia: a comparative study
   STP, 2005, STRAT TRANSP PLAN ST
   Taleb M. A., 2012, GEOGRAPHY ENV GEOSCI, V12, P37
   Talukder S. H., 2003, INT SUST C 17 19 SEP
   Tawhid KG, 2004, THESIS KTH
   Tayesh M. R. A., 1910, TAWARIKHE DHAKA WRIT
   te Lintelo D. J. H., 2017, WELLBEING URBAN GOVE
   United National Development Programme (UNDP), 2007, UNDP RCC WEB B, V2, P1
   Watson V, 2014, ENVIRON URBAN, V26, P215, DOI 10.1177/0956247813513705
   WB (World Bank), 2007, WB BANGL DEV SER, V17
   Zaman Q. M., 2000, The Compact Cities: Sustainable Urban Form for Developing Countries, P141, DOI [10.4324/9780203478622-17, DOI 10.4324/9780203478622-17]
NR 131
TC 25
Z9 25
U1 2
U2 29
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0264-2751
EI 1873-6084
J9 CITIES
JI Cities
PD JUL
PY 2018
VL 77
BP 142
EP 157
DI 10.1016/j.cities.2017.11.012
PG 16
WC Urban Studies
WE Social Science Citation Index (SSCI)
SC Urban Studies
GA GH2ZF
UT WOS:000433269800016
DA 2025-01-10
ER

PT J
AU Sikka, AK
   Islam, A
   Rao, KV
AF Sikka, Alok K.
   Islam, Adlul
   Rao, K. V.
TI CLIMATE-SMART LAND AND WATER MANAGEMENT FOR SUSTAINABLE AGRICULTURE
SO IRRIGATION AND DRAINAGE
LA English
DT Article; Proceedings Paper
CT 2nd World Irrigation Forum of the
   International-Commission-on-Irrigation-and-Drainage (ICID)
CY NOV, 2016
CL Chiang Mai, THAILAND
SP Int Commiss Irrigat & Drainage, Thai Natl Comm
DE climate change; NICRA; technology demonstration component; NMSA;
   bori-bandhan; aahar; pynes
ID INDIA
AB Indian agriculture is vulnerable to climate variability and change. The Coupled Model Inter-comparison Project Phase 5 (CMIP5) based model ensemble projects a warming of 1.5-4.3 degrees C and an increase in precipitation by 6-14% for India under different representative concentration pathways (RCPs) for the 2080s (2071-2100) compared to the baseline period (19611990). The Indian Council of Agricultural Research through its network project on National Innovations on Climate Resilient Agriculture (NICRA) has demonstrated different land and water management interventions in the vulnerable districts of India to enhance the resilience of agriculture to climate change and variability. Rainwater harvesting and its judicious utilization through farm ponds and community tanks in rainfed districts demonstrated the ability to build resilience and also enhance cropping intensity (20-135%). Construction of temporary check dams (bori-bandhan) in high-rainfall areas brought lowland areas into cultivation which otherwise would have remained fallow due to inundation in the kharif (monsoon) season. Renovation of aahar (water reservoirs) and construction of farm ponds in Bihar ensured protective irrigation during dry spells in kharif, increasing paddy productivity by 20.7%, and also raised the groundwater level by 30 cm. Adoption of participatory integrated watershed management within a river basin perspective provides a framework for climate change adaptation through reduced runoff, increased groundwater recharge, improved crop productivity and increased carbon sequestration. Copyright (C) 2017 John Wiley & Sons, Ltd.
C1 [Sikka, Alok K.] IWMI, New Delhi, India.
   [Islam, Adlul] ICAR Res Complex, New Delhi, India.
   [Rao, K. V.] Cent Res Inst Dryland Agr ICAR, Hyderabad, Andhra Prades, India.
C3 CGIAR; International Water Management Institute (IWMI); Indian Council
   of Agricultural Research (ICAR); ICAR - Central Research Institute of
   Dryland Agriculture
RP Sikka, AK (corresponding author), Int Water Management Inst, CG Block,NASC Complex, New Delhi 110012, India.; Sikka, AK (corresponding author), Int Water Management Inst, ICAR, NRM, CG Block,NASC Complex, New Delhi 110012, India.
EM aloksikka@yahoo.co.in
RI Islam, Adlul/AAD-8508-2021
OI Pandey, Alok Kumar/0000-0001-5604-3243; Islam, Adlul/0000-0001-5828-1114
CR Aggarwal PK, 2004, ENVIRON SCI POLICY, V7, P487, DOI 10.1016/j.envsci.2004.07.006
   [Anonymous], 2010, CLIM SMART AGR POL P
   Byjesh K, 2010, MITIG ADAPT STRAT GL, V15, P413, DOI 10.1007/s11027-010-9224-3
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   Chaturvedi RK, 2012, CURR SCI INDIA, V103, P791
   Chaudhary S. K., 2015, Indian Journal of Fertilisers, V11, P16
   CWC, 2015, WAT REL STAT
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gosain AK, 2011, CURR SCI INDIA, V101, P356
   Hochman Z, 2017, AGR SYST, V151, P61, DOI 10.1016/j.agsy.2016.11.007
   Islam A, 2014, PRACTICAL APPL AGR S, V5, P267
   Jain SK, 2011, CURR SCI INDIA, V101, P271
   Kumar SN, 2014, CLIM RES, V59, P173, DOI 10.3354/cr01212
   Ladha JK, 2003, FIELD CROP RES, V81, P159, DOI 10.1016/S0378-4290(02)00219-8
   Lal R, 2004, SCIENCE, V304, P1623, DOI 10.1126/science.1097396
   Lipper L, 2014, NAT CLIM CHANGE, V4, P1068, DOI [10.1038/NCLIMATE2437, 10.1038/nclimate2437]
   NAAS, 2010, DEGR WAST IND STAT S
   Pathak H., 2015, Proceedings of the Indian National Science Academy, V81, P1133, DOI 10.16943/ptinsa/2015/v81i5148333
   Pavelic P., 2015, 165 IWMI
   Rao KV, 2012, SUSTAINABLE RURAL LI
   Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005
   Sharda V. N., 2005, Indian Journal of Soil Conservation, V33, P93
   Sikka AK, 2016, MAUSAM, V67, P155
   Sikka AK, 2016, GEOGRAPHY YOU, V15, P53
   Soora NK, 2013, CLIMATIC CHANGE, V118, P683, DOI 10.1007/s10584-013-0698-3
   Srinivasa Rao C, 2013, LIVELIHOOD IMPROVEME, P142
   Srinivasa Rao Ch, 2015, TECHNICAL B CENTR RE
   Venkateswarlu B, 2012, NATL INITIATIVE CLIM
NR 28
TC 40
Z9 41
U1 5
U2 62
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1531-0353
EI 1531-0361
J9 IRRIG DRAIN
JI Irrig. Drain.
PD FEB
PY 2018
VL 67
IS 1
SI SI
BP 72
EP 81
DI 10.1002/ird.2162
PG 10
WC Agronomy; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Conference Proceedings Citation Index - Science (CPCI-S)
SC Agriculture; Water Resources
GA FV8LP
UT WOS:000424838700009
DA 2025-01-10
ER

PT J
AU Mohammed, R
   Scholz, M
AF Mohammed, Ruqayah
   Scholz, Miklas
TI Adaptation Strategy to Mitigate the Impact of Climate Change on Water
   Resources in Arid and Semi-Arid Regions: a Case Study
SO WATER RESOURCES MANAGEMENT
LA English
DT Article
DE Alteration measure; Precipitation; Reservoir operation and reliability;
   Sustainable development; Water resources availability; Weather
   variability
ID DROUGHT; VARIABILITY; RELIABILITY; VULNERABILITY; RESILIENCE
AB Climate change and drought phenomena impacts have become a growing concern for water resources engineers and policy makers, mainly in arid and semi-arid areas. This study aims to contribute to the development of a decision support tool to prepare water resources managers and planners for climate change adaptation. The Hydrologiska Byrans Vattenbalansavdelning (The Water Balance Department of the Hydrological Bureau) hydrologic model was used to define the boundary conditions for the reservoir capacity yield model comprising daily reservoir inflow from a representative example watershed with the size of 14,924 km(2) into a reservoir with the capacity of 6.80 Gm(3). The reservoir capacity yield model was used to simulate variability in climate change-induced differences in reservoir capacity needs and performance (operational probability of failure, resilience, and vulnerability). Owing to the future precipitation reduction and potential evapotranspiration increase during the worst case scenario (-40% precipitation and + 30% potential evapotranspiration), substantial reductions in streamflow of between -56% and -58% are anticipated for the dry and wet seasons, respectively. Furthermore, model simulations recommend that as a result of future climatic conditions, the reservoir operational probability of failure would generally increase due to declined reservoir inflow. The study developed preparedness plans to combat the consequences of climate change and drought.
C1 [Mohammed, Ruqayah; Scholz, Miklas] Univ Salford, Civil Engn Res Grp, Sch Comp Sci & Engn, Newton Bldg,Peel Pk Campus, Salford M5 4WT, Greater Manches, England.
   [Scholz, Miklas] Lund Univ, Div Water Resources Engn, Dept Bldg & Environm Technol, Fac Engn, POB 118, S-22100 Lund, Sweden.
   [Scholz, Miklas] Univ Johannesburg, Dept Civil Engn Sci, Sch Civil Engn & Built Environm, Kingsway Campus,POB 524, ZA-2006 Johannesburg, South Africa.
C3 University of Salford; Lund University; University of Johannesburg
RP Scholz, M (corresponding author), Univ Salford, Civil Engn Res Grp, Sch Comp Sci & Engn, Newton Bldg,Peel Pk Campus, Salford M5 4WT, Greater Manches, England.; Scholz, M (corresponding author), Lund Univ, Div Water Resources Engn, Dept Bldg & Environm Technol, Fac Engn, POB 118, S-22100 Lund, Sweden.; Scholz, M (corresponding author), Univ Johannesburg, Dept Civil Engn Sci, Sch Civil Engn & Built Environm, Kingsway Campus,POB 524, ZA-2006 Johannesburg, South Africa.
EM ruqaya2008@yahoo.com; miklas.scholz@tvrl.lth.se
RI Mohammed, Ruqayah/E-5074-2019
OI Mohammed, Ruqayah/0000-0002-8485-2467
FU Iraqi government
FX The research has been financed by the Iraqi government via a Ph.D.
   scholarship for the lead author via Babylon University.
CR Chen J, 2011, J HYDROL, V401, P190, DOI 10.1016/j.jhydrol.2011.02.020
   Cook BI, 2014, CLIM DYNAM, V43, P2607, DOI 10.1007/s00382-014-2075-y
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fowler HJ, 2003, WATER RESOUR RES, V39, DOI 10.1029/2002WR001778
   Li LH, 2010, WATER RESOUR MANAG, V24, P83, DOI 10.1007/s11269-009-9438-x
   McMahon T.A., 2005, Water Resources Yield
   McMahon TA, 2006, J HYDROL, V324, P359, DOI 10.1016/j.jhydrol.2005.09.030
   Minville M, 2009, WATER RESOUR MANAG, V23, P2965, DOI 10.1007/s11269-009-9418-1
   Mohammed R, 2017, J ARID ENV IN PRESS
   Mohammed R, 2017, WATER RESOUR MANAG, V31, P1489, DOI 10.1007/s11269-017-1590-0
   Mohammed R, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-6205-1
   MOY WS, 1986, WATER RESOUR RES, V22, P489, DOI 10.1029/WR022i004p00489
   Nalbantis I., 2008, EUROPEAN WATER, V23/, P65
   Park JY, 2014, J AM WATER RESOUR AS, V50, P1273, DOI 10.1111/jawr.12190
   Reis J, 2016, CLIMATIC CHANGE, V136, P601, DOI 10.1007/s10584-016-1639-8
   Sheffield J, 2012, NATURE, V491, P435, DOI 10.1038/nature11575
   Soundharajan BS, 2016, J HYDROL, V538, P625, DOI 10.1016/j.jhydrol.2016.04.051
   Tigkas D, 2015, EARTH SCI INFORM, V8, P697, DOI 10.1007/s12145-014-0178-y
   Tigkas D, 2012, SCI TOTAL ENVIRON, V440, P33, DOI 10.1016/j.scitotenv.2012.08.035
   Vangelis H, 2013, J ARID ENVIRON, V88, P130, DOI 10.1016/j.jaridenv.2012.07.020
   Vicente-Serrano SM, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/4/044001
   Vicuna S, 2007, CLIMATIC CHANGE, V82, P327, DOI [10.1007/s10584-006-9207-2, 10.1007/s 10584-006-9207-2]
NR 22
TC 25
Z9 28
U1 0
U2 20
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 SEP
PY 2017
VL 31
IS 11
BP 3557
EP 3573
DI 10.1007/s11269-017-1685-7
PG 17
WC Engineering, Civil; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Water Resources
GA FC2FJ
UT WOS:000406652400018
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Gersonius, B
   Morselt, T
   van Nieuwenhuijzen, L
   Ashley, R
   Zevenbergen, C
AF Gersonius, B.
   Morselt, T.
   van Nieuwenhuijzen, L.
   Ashley, R.
   Zevenbergen, C.
TI How the Failure to Account for Flexibility in the Economic Analysis of
   Flood Risk and Coastal Management Strategies Can Result in Maladaptive
   Decisions
SO JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING
LA English
DT Article
DE Climate change; Flood risk management; Maladaptation; Real options; Sea
   level rise
ID CLIMATE-CHANGE; OPTIONS
AB This paper uses two alternative economic analysis approaches, net present value (NPV) and real in options (RIO), to show how the failure to incorporate uncertainty and flexibility in the economic analysis of flood risk and coastal management strategies can result in maladaptive decisions. RIO offers a major development on the conventional NPV approach, because it integrates expected changes in future levels of uncertainty into economic analysis. This study applies RIO analysis to the semihypothetical case study of a coastal defense system to demonstrate its applicability for decision making on climate change adaptation. In the case study, two different adaptive strategies are analyzed, consisting of a hard and soft structural alternative. Soft strategies are often inherently more flexible than hard strategies. The results of the case study show that the NPV approach increases the relative cost of soft strategies for the two alternatives compared with hard strategies, because it does not account for the value of flexibility built into adaptive strategies. It is therefore recommended that RIO analysis be used for the choice between hard and soft strategies to avoid maladaptation. This is particularly significant in cases where there is both high climate uncertainty and high decision uncertainty concerning the best strategy. DOI: 10.1061/(ASCE)WW.1943-5460.0000142. (C) 2012 American Society of Civil Engineers.
C1 [Gersonius, B.; Ashley, R.; Zevenbergen, C.] UNESCO IHE Inst Water Educ, NL-2611 AX Delft, Netherlands.
   [Morselt, T.] Blueconomy BV, NL-5301 CE Zaltbommel, Netherlands.
   [van Nieuwenhuijzen, L.] Haskoning Nederland BV, NL-6522 DK Nijmegen, Netherlands.
C3 IHE Delft Institute for Water Education
RP Gersonius, B (corresponding author), UNESCO IHE Inst Water Educ, Westvest 7, NL-2611 AX Delft, Netherlands.
EM b.gersonius@unesco-ihe.org; teun.morselt@blueconomy.nl;
   l.vannieuwenhuijzen@royalhaskoning.com; r.ashley@unesco-ihe.org;
   c.zevenbergen@unesco-ihe.org
RI Gersonius, Berry/C-7724-2009
OI Gersonius, Berry/0000-0002-2681-9474
FU EPSRC [EP/I029346/1] Funding Source: UKRI
CR [Anonymous], 2003, GREEN BOOK APPR EV C
   Ashley R., 2010, P ICE ENG SUSTAIN, V163, P1
   Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004
   BLACK F, 1973, J POLIT ECON, V81, P637, DOI 10.1086/260062
   COX JC, 1979, J FINANC ECON, V7, P229, DOI 10.1016/0304-405X(79)90015-1
   De Bruin K, 2011, INVESTMENT FLOOD PRO
   de Gooijer C., 2000, HYDRA K FUNCTIONEEL
   de Neufville R., 2004, P 8 ANN REAL OPT INT
   de Neufville R., 2004, Uncertainty Management for Engineering Systems Planning and Design
   de Neufville R., 2003, INTEGRATED ASSESSMEN, V4, P26, DOI DOI 10.1076/IAIJ.4.1.26.16461
   *DEP ENV FOOD RUR, 2006, FLOOD COAST DEF APPR
   Environment Agency, 2008, RESP ROYAL COMM ENV
   European Commission, 2009, COMM STAFF WORK DOC
   Financien, 2009, ADV WERKGR LANG TERM
   Her Majesty's Treasury and Department for Environment Food and Rural Affairs (DEFRA), 2009, ACC EFF CLIM CHANG S
   Ingham A., 2006, THEORY PRACTICE EC A
   JARROW R, 1982, J FINANC ECON, V10, P347, DOI 10.1016/0304-405X(82)90007-1
   Kundzewicz ZW, 2008, HYDROLOG SCI J, V53, P3, DOI 10.1623/hysj.53.1.3
   Ministry for the Environment, 2010, Preparing for future flooding: A guide for local government in New Zealand
   MYERS SC, 1984, INTERFACES, V14, P126, DOI 10.1287/inte.14.1.126
   orselt T. T., 2009, 09014 RIJKSW DIR NOO
   TAW, 2002, TECHN RAPP GOLF GOLF
   van den Hurk B, 2007, WATER SCI TECHNOL, V56, P27, DOI 10.2166/wst.2007.533
   Van Koningsveld M., 2004, Z372550 WL PROV NOOR
   Wiener N., 1923, J MATH PHYS, V2, P132, DOI [10.1002/sapm192321131, DOI 10.1002/SAPM192321131]
   Woodward M, 2011, J FLOOD RISK MANAG, V4, P339, DOI 10.1111/j.1753-318X.2011.01119.x
   Zhao T., 2003, J INFRASTRUCT SYST, V9, P89, DOI DOI 10.1061/(ASCE)1076-0342(2003)9:3(89)
   Zhao T., 2004, J INFRASTRUCT SYST, V10, P23
NR 28
TC 23
Z9 25
U1 1
U2 24
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 0733-950X
EI 1943-5460
J9 J WATERW PORT COAST
JI J. Waterw. Port Coast. Ocean Eng.
PD SEP
PY 2012
VL 138
IS 5
BP 386
EP 393
DI 10.1061/(ASCE)WW.1943-5460.0000142
PG 8
WC Engineering, Civil; Engineering, Ocean; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering; Water Resources
GA 064AG
UT WOS:000313042700005
DA 2025-01-10
ER

PT J
AU Sanò, M
   Jiménez, JA
   Medina, R
   Stanica, A
   Sanchez-Arcilla, A
   Trumbic, I
AF Sano, M.
   Jimenez, J. A.
   Medina, R.
   Stanica, A.
   Sanchez-Arcilla, A.
   Trumbic, I.
TI The role of coastal setbacks in the context of coastal erosion and
   climate change
SO OCEAN & COASTAL MANAGEMENT
LA English
DT Article
ID SEA-LEVEL RISE; DANUBE RIVER; VULNERABILITY; EVOLUTION; SULINA; IMPACT;
   ZONE
AB Coastal erosion and storms represent a source of risk for settlements and infrastructure along the coast. At the same time, coastal natural assets, including landscape, are threatened by increasing development mainly driven by tourism. The Mediterranean coast is especially vulnerable to these processes, considering its high biological and cultural diversity. An additional challenge is represented by climate change, as it will force coastal communities to apply more or less drastic adaptation strategies. Coastal setbacks, used to protect coastal communities and infrastructure from storms and erosion, and to preserve coastal habitats and landscapes from degradation, is one of the main instruments suggested by the Protocol on Integrated Coastal Zone Management of the Barcelona Convention, entered into force on the 24 of March 2011. Its implementation has the potential to influence coastal policies in other regions, such as the neighbouring Black Sea.
   The CONSCIENCE project has formalized concepts and conducted specific studies to provide new tools for coastal erosion management practice. The objective of this paper is to present a synthesis of the research conducted into coastal setbacks for coastal erosion management and climate change adaptation. This is done by analysing the requirement of the Protocol, current processes and management practices in two case study areas (Costa Brava Bays in Spain and Danube Delta, in Romania) and the new challenges posed by climate change. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Sano, M.] Griffith Univ, Griffith Ctr Coastal Management, Gold Coast, Qld 4222, Australia.
   [Sano, M.] Griffith Univ, Griffith Climate Change Response Program, Gold Coast, Qld 4222, Australia.
   [Sano, M.; Medina, R.] Univ Cantabria, Environm Hydraul Inst IH Cantabria, E-39005 Santander, Spain.
   [Jimenez, J. A.; Sanchez-Arcilla, A.] Univ Politecn Cataluna, ETSECCPB, Lab Engn Maritima, Barcelona, Spain.
   [Jimenez, J. A.; Sanchez-Arcilla, A.] Int Ctr Coastal Resources Res, Barcelona, Spain.
   [Stanica, A.] Natl Inst Marine Geol & Geoecol GeoEcoMar, Bucharest, Romania.
   [Trumbic, I.] Reg Act Ctr, UNEP MAP Prior Act Programme, Split, Croatia.
   [Trumbic, I.] UNEP MAP GEF Strateg Partnership Mediterranean La, Athens, Greece.
C3 Griffith University; Griffith University - Gold Coast Campus; Griffith
   University; Griffith University - Gold Coast Campus; Universidad de
   Cantabria; IHCantabria - Instituto de Hidraulica Ambiental de la
   Universidad de Cantabria; Universitat Politecnica de Catalunya; National
   Institute of Marine Geology & Geoecology of Romania (GeoEcoMar)
RP Sanò, M (corresponding author), Griffith Univ, Griffith Ctr Coastal Management, Gold Coast Campus Griffith Univ, Gold Coast, Qld 4222, Australia.
EM m.sano@griffith.edu.au
RI Stanica, Adrian/E-9183-2011; Medina, Raul/L-2456-2014; Jimenez, Jose
   A./I-7827-2014
OI Stanica, Adrian/0000-0001-5983-6302; Jimenez, Jose
   A./0000-0003-0900-4684; putchakatla, venkateswarlu/0000-0002-5045-9819;
   Medina, Raul/0000-0002-0126-2710
CR Alpar B, 2009, GEOMORPHOLOGY, V107, P58, DOI 10.1016/j.geomorph.2007.05.021
   [Anonymous], WHIT PAP COAST ZON M
   Antonidze Ekaterina, 2010, Journal of Coastal Conservation, V14, P265, DOI 10.1007/s11852-009-0067-6
   Barragán JM, 2003, J COASTAL RES, V19, P314
   Calafat FM, 2009, GLOBAL PLANET CHANGE, V66, P225, DOI 10.1016/j.gloplacha.2008.12.015
   Caraivan G., 2008, METHODOLOGY PO UNPUB
   Church JA, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL024826
   Cooper JAG, 2004, GLOBAL PLANET CHANGE, V43, P157, DOI 10.1016/j.gloplacha.2004.07.001
   Fenoglio-Marc L, 2010, J GEODYN, V49, P151, DOI 10.1016/j.jog.2009.12.003
   FitzGerald DM, 2008, ANNU REV EARTH PL SC, V36, P601, DOI 10.1146/annurev.earth.35.031306.140139
   González-Riancho P, 2009, OCEAN COAST MANAGE, V52, P545, DOI 10.1016/j.ocecoaman.2009.08.007
   Jiménez JA, 2011, OCEAN COAST MANAGE, V54, P907, DOI 10.1016/j.ocecoaman.2011.05.003
   Lionello P, 2008, GLOBAL PLANET CHANGE, V63, P152, DOI 10.1016/j.gloplacha.2008.03.004
   Marcos M, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2008JC004820
   Markandya A., 2008, Journal of Coastal Conservation, V12, P145, DOI 10.1007/s11852-008-0038-3
   McInnes KL, 2009, NAT HAZARDS, V51, P115, DOI 10.1007/s11069-009-9383-2
   Mendez F.J., 2004, CLIMA ENTRE MAR MONT
   Nicholls RJ, 1996, OCEAN COAST MANAGE, V31, P105, DOI 10.1016/S0964-5691(96)00037-3
   Ratsimandresy AW, 2008, COAST ENG, V55, P827, DOI 10.1016/j.coastaleng.2008.02.025
   Sane M., 2010, P LITT 2010 AD GLOB
   Sanò M, 2010, COAST MANAGE, V38, P76, DOI 10.1080/08920750903411734
   Sano Marcello, 2010, Journal of Coastal Conservation, V14, P33, DOI 10.1007/s11852-009-0075-6
   Simeoni U, 2009, GEOMORPHOLOGY, V107, P64, DOI 10.1016/j.geomorph.2008.11.004
   Sinchez-Arcilla A, 2008, J COASTAL RES, V24, P306, DOI 10.2112/07A-0005.1
   Snoussi M, 2008, ESTUAR COAST SHELF S, V77, P206, DOI 10.1016/j.ecss.2007.09.024
   Stanica A, 2007, MAR POLLUT BULL, V55, P555, DOI 10.1016/j.marpolbul.2007.09.015
   Stanica A, 2011, OCEAN COAST MANAGE, V54, P898, DOI 10.1016/j.ocecoaman.2011.06.006
   Stanica A, 2009, GEOMORPHOLOGY, V107, P41, DOI 10.1016/j.geomorph.2007.04.041
   TRUMBIC I, 2008, ENVIRON POLICY LAW, V38, P145
   UNEP, 2008, PROT INT COAST ZON M
   UNEP/MAP/Plan Bleu, 2005, SUST FUT MED BLUE PL
   UNEP/MAP-Plan Bleu, 2009, STAT ENV DEV MED
NR 32
TC 39
Z9 42
U1 0
U2 68
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 2011
VL 54
IS 12
SI SI
BP 943
EP 950
DI 10.1016/j.ocecoaman.2011.06.008
PG 8
WC Oceanography; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Oceanography; Water Resources
GA 868OS
UT WOS:000298533200009
DA 2025-01-10
ER

PT S
AU Wolf, J
AF Wolf, Johanna
BE Ford, JD
   BerrangFord, L
TI Climate Change Adaptation as a Social Process
SO CLIMATE CHANGE ADAPTATION IN DEVELOPED NATIONS: FROM THEORY TO PRACTICE
SE Advances in Global Change Research
LA English
DT Article; Book Chapter
DE Climate change; Adaptation; Vulnerability; Risk perception; Values;
   Adaptive capacity; Developed countries; Adaptation barriers; Social
   process; Vulnerable groups
ID PUBLIC PERCEPTIONS; VULNERABILITY; VICTIMS
AB Research on the impacts of climate change suggests that developed countries are not immune to the effects of a changing climate. The assumption that because of their high adaptive capacity, developed countries will adapt effectively is beginning to be dispelled by empirical evidence. While advancements in projections have facilitated a move from the study of impacts to concrete adaptation strategies, research that focuses on the social process of adaptation has been relatively neglected. Yet, when viewed as a social process, the psychological, social, and cultural aspects of adaptation are exposed, which brings into focus the effects that values and power dimensions have on actual adjustments and their outcomes for adaptation. This chapter demonstrates that some of the critical barriers to adaptation in developed countries arise from perceptions and values. It argues that these barriers are hindering adaptation now and will continue to do so unless the intricacies of the social processes underpinning adaptation are taken into explicit consideration in research and policy. Drawing on recent theoretical and empirical studies, the examples highlighted here show that narratives of immunity to the impacts of climate change in developed countries, confidence in technology, and perceived lack of immediacy about climate change impacts have resulted in an unwarranted complacency about adaptation. Effective adaptation strategies should be informed by a deeper understanding of the social process of adaptation and need to address a wide range of barriers.
C1 Mem Univ, Labrador Inst, Happy Valley Goose Bay, NL A0P 1E0, Canada.
C3 Memorial University Newfoundland
RP Wolf, J (corresponding author), Mem Univ, Labrador Inst, 490 Stn B, Happy Valley Goose Bay, NL A0P 1E0, Canada.
EM jwolf@mun.ca
CR Adger W. N., 2001, Journal of International Development, V13, P921, DOI 10.1002/jid.833
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1
   Adger WN, 2003, ECON GEOGR, V79, P387
   Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   [Anonymous], 2004, RISK
   [Anonymous], MARINE SOC TECHNOLOG
   BANDURA A, 1977, PSYCHOL REV, V84, P191, DOI 10.1037/0033-295X.84.2.191
   Beck U, 1996, THEOR CULT SOC, V13, P1, DOI 10.1177/0263276496013004001
   Berkes F, 2002, CONSERV ECOL, V5
   Bickerstaff K., 2004, Public perceptions of risk, science, and governance: Qualitative study
   Bord RJ, 1998, CLIMATE RES, V11, P75, DOI 10.3354/cr011075
   Bryant CR, 2000, CLIMATIC CHANGE, V45, P181, DOI 10.1023/A:1005653320241
   Bulkeley H, 2001, T I BRIT GEOGR, V26, P430, DOI 10.1111/1475-5661.00033
   Dessai S, 2004, CLIMATIC CHANGE, V64, P11, DOI 10.1023/B:CLIM.0000024781.48904.45
   Eakin H, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P212
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   Few R, 2007, COAST MANAGE, V35, P255, DOI 10.1080/08920750601042328
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   HOHLE E, 2002, GLOBAL CLIMATE CHANG, pCH5
   Keller C, 2006, RISK ANAL, V26, P631, DOI 10.1111/j.1539-6924.2006.00773.x
   Kinney PL, 2008, ENVIRON SCI POLICY, V11, P87, DOI 10.1016/j.envsci.2007.08.001
   Kirby A., 2004, BBC News
   Kovats RS., 2005, INTEGRATION PUBLIC H, P136
   Lagadec P., 2004, J CONTING CRISIS MAN, V12, P160, DOI [DOI 10.1111/J.0966-0879.2004.00446.X, 10.1111/j.0966-0879.2004.00446.x]
   Leichenko R., 2008, ENV CHANGE GLOBALIZA
   Lorenzoni I, 2007, GLOBAL ENVIRON CHANG, V17, P445, DOI 10.1016/j.gloenvcha.2007.01.004
   Lowe T, 2006, PUBLIC UNDERST SCI, V15, P435, DOI 10.1177/0963662506063796
   MACFARLANE A, 1978, ENVIRON RES, V15, P332, DOI 10.1016/0013-9351(78)90115-9
   Mastrandrea MD, 2004, SCIENCE, V304, P571, DOI 10.1126/science.1094147
   McBeath J., 2003, Mitigation and Adaptation Strategies for Global Change, V8, P3, DOI DOI 10.1023/A:1025840627213
   McCarthy J.J., 2001, CLIMATE CHANGE IMPAC
   McMichael A., 1996, CLIMATE CHANGE HUMAN
   Miller E, 2008, SOC NATUR RESOUR, V21, P244, DOI 10.1080/08941920701818258
   MOSER S, 2008, CLIMATIC CHANGE, V87, P307
   Moser SC, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P313
   Næss LO, 2005, GLOBAL ENVIRON CHANG, V15, P125, DOI 10.1016/j.gloenvcha.2004.10.003
   O'Brien K, 2006, AMBIO, V35, P50, DOI 10.1579/0044-7447(2006)35[50:QCCCIV]2.0.CO;2
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Rachlinski JJ, 2000, U ILLINOIS LAW REV, P299
   Riedlinger D., 2001, POLAR RECORDS, V37, P315, DOI DOI 10.1017/S0032247400017058
   Risbey J., 1999, Mitigation and Adaptation Strategies for Global Change, V4, P137, DOI DOI 10.1023/A:1009636607038
   Rokeach M., 2000, UNDERSTANDING HUMAN
   ROMSDAHL R, 2009, INTERDISCIP ENV REV, V11, P35
   SCHNEIDER SH, 2001, PEW CTR GLOB CLIM CH
   Schneider StephenH., 2006, FAIRNESS ADAPTATION
   Stamm KR, 2000, PUBLIC UNDERST SCI, V9, P219, DOI 10.1088/0963-6625/9/3/302
   SYDNEYSMITH R, 2007, COMANAGEMENT CLIMATE
   Tompkins EL, 2008, J ENVIRON MANAGE, V88, P1580, DOI 10.1016/j.jenvman.2007.07.025
   Tribbia J, 2008, ENVIRON SCI POLICY, V11, P315, DOI 10.1016/j.envsci.2008.01.003
   WESCOAT JL, 1991, GLOBAL ENVIRON CHANG, V1, P381, DOI 10.1016/0959-3780(91)90004-D
   Whitmarsh L, 2008, J RISK RES, V11, P351, DOI 10.1080/13669870701552235
   WOLF J, 2006, THESIS U E ANGLIA NO
   Wolf J, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P181
   Wolf J, 2010, GLOBAL ENVIRON CHANG, V20, P44, DOI 10.1016/j.gloenvcha.2009.09.004
   Wong KK, 2001, AREA, V33, P190, DOI 10.1111/1475-4762.00022
NR 57
TC 62
Z9 69
U1 1
U2 18
PU SPRINGER
PI DORDRECHT
PA PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS
SN 1574-0919
BN 978-94-007-0566-1
J9 ADV GLOB CHANGE RES
JI Adv. Glob. Change Res.
PY 2011
VL 42
BP 21
EP 32
DI 10.1007/978-94-007-0567-8_2
D2 10.1007/978-94-007-0567-8
PG 12
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 BWE55
UT WOS:000293761100002
DA 2025-01-10
ER

PT J
AU Bunce, M
   Mee, L
   Rodwell, LD
   Gibb, R
AF Bunce, Matthew
   Mee, Laurence
   Rodwell, Lynda D.
   Gibb, Richard
TI Collapse and recovery in a remote small island-A tale of adaptive cycles
   or downward spirals?
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Africa; SIDS; Natural hazards; Climate; Social-ecological; Adaptation;
   Livelihoods
ID SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE ADAPTATION; WESTERN
   INDIAN-OCEAN; DEVELOPING STATES; HUMAN DIMENSIONS; RESILIENCE;
   VULNERABILITY; MANAGEMENT; MAURITIUS; PERSPECTIVE
AB Few studies consider how social-ecological systems recover from disturbance. We consider the small semi-autonomous island of Rodrigues (Indian Ocean). Based on semi-structured interviews (n = 70), a fisher survey (n = 73), weather data and official records we build a timeline of key events. We tabulate local perceptions (5+ mentions) of changes (social, economic and natural capital) and look for signs of adaptive cycles in the island's social-ecological past. Rising human pressure and extreme weather event impacts are reported since first settlement. We propose a recent "collapse" phase catalysed in the 1970s by severe drought, based on respondents' perceptions of still-ongoing changes in farming and fishing, water, external dependence, migration and inter-island political change. Connectivity (flows of people, goods, information, money, power) appear to have strengthed local island recovery, but degradation continued, not least due to water scarcity and a lack of shared political vision as Rodrigues became more tied into the wider world.
   Overall, our findings suggest social-ecological systems may get stuck in a post-collapse recovery without any new structure emerging, presuming adaptive cycles can even be detected. Data gaps and global change redefining spatial and temporal scales could mean the adaptive cycle's usefulness is limited in development policy-making contexts. (C) 2008 Elsevier Ltd. All rights reserved.
C1 [Bunce, Matthew] Univ E Anglia, Overseas Dev Grp, Norwich NR4 7TJ, Norfolk, England.
   [Mee, Laurence] Scottish Assoc Marine Sci, Dunstaffnage Marine Lab, Oban PA37 1AQ, Argyll, Scotland.
   [Bunce, Matthew; Mee, Laurence; Rodwell, Lynda D.] Univ Plymouth, Ctr Marine & Coastal Policy Res, Sch Earth Ocean & Environm Sci, Plymouth PL4 8AA, Devon, England.
   [Gibb, Richard] Univ Plymouth, Sch Geog, Plymouth PL4 8AA, Devon, England.
C3 University of East Anglia; University of the Highlands & Islands;
   University of Plymouth; University of Plymouth
RP Bunce, M (corresponding author), Univ E Anglia, Overseas Dev Grp, Norwich NR4 7TJ, Norfolk, England.
EM m.bunce@uea.ac.uk
RI Mee, Laurence/D-5882-2013
FU European Union's Sixth Framework Programme [INCO-CT2004-510863]; NERC
   [dml010003] Funding Source: UKRI
FX The authors acknowledge the time contributed by all participants in this
   study. We also gratefully acknowledge the financial support from the
   European Union's Sixth Framework Programme under which this project was
   funded (INCO-CT2004-510863). We thank our field staff in each respective
   country. Statistical analysis was also greatly facilitated with the help
   of Dr. Tim Daw at University of East Anglia. Finally, we thank two
   anonymous reviewers for their constructive comments which significantly
   improved the manuscript.
CR Abel N, 2006, ECOL SOC, V11
   ABEL T, 2003, CONSERV ECOL, V10, P7
   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, 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, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   *ANON, 2004, ANTI EROSION PROGRA
   *ANON, 2007, ASSESSING RESILIENCE
   [Anonymous], 2006, ECOL SOC
   [Anonymous], COLLAPSE HOW SOCIETI
   [Anonymous], 2003, MILLENNIUM DEV GOALS
   [Anonymous], ROUND TABLE COMMONWE
   Armstrong W., 2002, Journal of International Development, V14, P435
   Baldacchino G.//, 2006, Asia Pacific Viewpoint, V47, P45, DOI DOI 10.1111/J.1467-8373.2006.00295.X
   Barnett J, 2003, CLIMATIC CHANGE, V61, P321, DOI 10.1023/B:CLIM.0000004559.08755.88
   BAYLISSSMITH T, 1988, ISLANDS ISLANDERS
   Becken S, 2005, GLOBAL ENVIRON CHANG, V15, P381, DOI 10.1016/j.gloenvcha.2005.08.001
   BERTHELOT L, 2002, LA PETITE MASCAREIG
   Bertram G., 2006, Asia Pacific Viewpoint, V47, P1, DOI 10.1111/j.1467-8373.2006.00296.x
   Bertram G, 2004, WORLD DEV, V32, P343, DOI 10.1016/j.worlddev.2003.08.004
   BHIKAJEE M, 2001, INTEGRATED COASTAL, P87
   Bohensky EL, 2008, ECOL SOC, V13
   Brand FS, 2007, ECOL SOC, V12
   BRIGUGLIO L, 1995, WORLD DEV, V23, P1615, DOI 10.1016/0305-750X(95)00065-K
   BROOKFIELD HC, 1957, POP STUD-J DEMOG, V11, P102, DOI 10.2307/2172107
   Brown K, 2001, ECOL ECON, V37, P417, DOI 10.1016/S0921-8009(00)00293-7
   Buck S. J., 1989, Common property resources. Ecology and community-based sustainable development., P127
   BULMER M, 1993, SURVEYS CENSUSES
   BUNCE L, 2000, SOCICECONOMIC MANUAL, P183
   Bunce M, 2008, OCEAN COAST MANAGE, V51, P285, DOI 10.1016/j.ocecoaman.2007.09.006
   Bunwaree S, 2001, INT J EDUC DEV, V21, P257, DOI 10.1016/S0738-0593(00)00033-X
   Campling L, 2006, J DEV SOC, V22, P235, DOI 10.1177/0169796X06068031
   Carpenter KE, 2008, SCIENCE, V321, P560, DOI 10.1126/science.1159196
   Cash DW, 2006, ECOL SOC, V11
   Cherian A, 2007, NAT RESOUR FORUM, V31, P128, DOI 10.1111/j.1477-8947.2007.00138.x
   CLAIR LS, 2005, BUDGET SPEECH 2005
   COCKS KD, 2003, DEEP FUTURES OUR P
   COULTHARD S, 2008, GLOBAL ENV CHANGE
   *CSO, 2000, HOUSING POPULAT CENS, V1
   *CSO, 2005, DIG STAT RODR, P65
   Cumming GS, 2005, ECOL SOC, V10
   DEBLIC P, 1986, LES SOLS RODRIGUES
   DUPON JF, 1967, ANN FAC LETT, P191
   ERIKSEN TH, 1994, COMP STUD SOC HIST, V36, P549, DOI 10.1017/S001041750001923X
   Fabricius KE, 2005, MAR POLLUT BULL, V50, P125, DOI 10.1016/j.marpolbul.2004.11.028
   *FAO, 1998, EVAL MISE VALEUR RES
   *FAO, 1998, TEN YEAR DEV PLAN
   Few R, 2007, GLOBAL ENVIRON CHANG, V17, P281, DOI 10.1016/j.gloenvcha.2006.11.001
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Füssel HM, 2007, GLOBAL ENVIRON CHANG, V17, P155, DOI 10.1016/j.gloenvcha.2006.05.002
   GADE DW, 1985, ENVIRON CONSERV, V12, P207, DOI 10.1017/S0376892900015940
   Gelcich S, 2005, CONSERV BIOL, V19, P865, DOI 10.1111/j.1523-1739.2005.00534.x
   GELL FR, 2005, DEV MARINE RESERVES, P28
   GONTRAN B, 2006, SIR BEN RACONTE
   *GOV MAUR, 2004, HIV AIDS STRATEGIC
   Gowrie MN, 2003, CONSERV ECOL, V7
   GROVE RH, 1995, TROP ISLAND EDENS
   GROVE RH, 1990, COLONIAL CONSERVAT, P15
   GUNDERSON LH, 2002, PANARCHY UNDERSTAN
   HAJER M, 1995, POLIT ENV DISCOURSE
   Hamilton LC, 2004, SOC NATUR RESOUR, V17, P443, DOI 10.1080/08941920490430232
   Harvell CD, 2002, SCIENCE, V296, P2158, DOI 10.1126/science.1063699
   Holling C. S., 2002, Panarchy: understanding transformations in human and natural systems
   HOLLING CS, 1994, FUTURES, V26, P598, DOI 10.1016/0016-3287(94)90031-0
   Hollup O, 2000, MAR POLICY, V24, P407, DOI 10.1016/S0308-597X(00)00016-6
   Hughes TP, 2005, TRENDS ECOL EVOL, V20, P380, DOI 10.1016/j.tree.2005.03.022
   Hughes TP, 2003, SCIENCE, V301, P929, DOI 10.1126/science.1085046
   Janssen MA, 2007, SOC NATUR RESOUR, V20, P307, DOI 10.1080/08941920601161320
   Janssen MA, 2006, ECOL SOC, V11
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P240, DOI 10.1016/j.gloenvcha.2006.04.001
   Janssen MA, 2006, GLOBAL ENVIRON CHANG, V16, P237, DOI 10.1016/j.gloenvcha.2006.04.003
   Julvez J, 1998, B SOC PATHOL EXOT, V91, P99
   Karunanithi AT, 2008, ECOL SOC, V13
   Kerr SA, 2005, OCEAN COAST MANAGE, V48, P503, DOI 10.1016/j.ocecoaman.2005.03.010
   *KPMG, 2006, DRAFT SYNTH PAPER
   KUEFFER C, 2004, CASE STUDIES STATUS, P24
   KUEFFER C, 2004, CASE STUDIES STATUS, P31
   Lal M, 2002, CLIMATE RES, V19, P179, DOI 10.3354/cr019179
   Laville R., 2000, J CONTEMP AFR STUD, V18, P277, DOI [10.1080/713675629, DOI 10.1080/713675629]
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Locke C, 2000, ENVIRONMENT, V42, P24, DOI 10.1080/00139150009605748
   McClanahan TR, 2007, MAR ECOL PROG SER, V337, P1, DOI 10.3354/meps337001
   McClanahan TR, 2006, CURR BIOL, V16, P1408, DOI 10.1016/j.cub.2006.05.062
   McClanahan TR, 1999, CORAL REEFS, V18, P321, DOI 10.1007/s003380050205
   MCDOUGALL I, 1965, NATURE, V206, P26, DOI 10.1038/206026a0
   McMichael AJ, 2003, SCIENCE, V302, P1919
   Méheux K, 2007, NAT HAZARDS, V40, P429, DOI 10.1007/s11069-006-9001-5
   Miles WFS, 1999, AFR AFFAIRS, V98, P211
   Neumann K, 2004, J IMP COMMONW HIST, V32, P1, DOI 10.1080/0308653042000279641
   NORTH-COOMBES Alfred., 1971, ISLAND RODRIGUES
   Oliver GP, 2004, J NAT HIST, V38, P2927, DOI 10.1080/00222930410001695006
   PAILLAT JM, 1999, SUPPORT PROJECT EROS, P17
   PANRAY AB, 2004, ANTI EROSION PROGRA, P166
   PAULY D, 1995, TREND ECOL EVOL, V10
   Payet R, 2006, AMBIO, V35, P182, DOI 10.1579/0044-7447(2006)35[182:CCITSI]2.0.CO;2
   Pelling M., 2001, Environmental Hazards, V3, P49
   PERNETTA JC, 1992, GLOBAL ENVIRON CHANG, V2, P19, DOI 10.1016/0959-3780(92)90033-4
   Pigram J. J., 2001, Tourism (Zagreb), V49, P267
   Ramessur RT, 2002, REG ENVIRON CHANGE, V3, P99, DOI 10.1007/s10113-002-0045-0
   RAMESSUR RT, 2003, P INT COR REEF IN IC, P113
   Ramjeawon T, 2004, ENVIRON IMPACT ASSES, V24, P537, DOI 10.1016/j.eiar.2004.01.001
   Raventos N, 2006, MAR ENVIRON RES, V62, P1, DOI 10.1016/j.marenvres.2006.02.002
   Read R, 2004, WORLD DEV, V32, P365, DOI 10.1016/j.worlddev.2003.08.007
   Rees SA, 2005, PHILOS T R SOC A, V363, P101, DOI 10.1098/rsta.2004.1481
   Reid P, 2006, GLOBAL ENVIRON CHANG, V16, P195, DOI 10.1016/j.gloenvcha.2006.01.003
   Sanchez PA, 2000, AGR ECOSYST ENVIRON, V82, P371, DOI 10.1016/S0167-8809(00)00238-3
   SCHEFFER M, 2003, NATURE, V413, P491
   SEIXAS CS, 2003, NAVIGATING SOCIAL
   Sheppard C, 2006, CONSERV BIOL SER, P264
   Sheppard CRC, 2002, MAR POLLUT BULL, V44, P353, DOI 10.1016/S0025-326X(02)00145-5
   *SOPAC, 2003, REDUCING ENV VULNE
   Stonich SC, 1998, ANN TOURISM RES, V25, P25, DOI 10.1016/S0160-7383(97)00037-6
   Strahm W., 1989, Plant Red Data Book for Rodrigues
   Thomas DSG, 2005, GLOBAL ENVIRON CHANG, V15, P115, DOI 10.1016/j.gloenvcha.2004.10.001
   Tompkins E, 2002, ENVIRON PLANN A, V34, P1095, DOI 10.1068/a34213
   Tompkins EL, 2004, ECOL SOC, V9
   Tompkins EL, 2005, GLOBAL ENVIRON CHANG, V15, P139, DOI 10.1016/j.gloenvcha.2004.11.002
   Trenberth KE, 1997, B AM METEOROL SOC, V78, P2771, DOI 10.1175/1520-0477(1997)078<2771:TDOENO>2.0.CO;2
   Tuler S, 2008, HUM ECOL REV, V15, P171
   Turner RK, 2000, J MARINE SYST, V25, P447, DOI 10.1016/S0924-7963(00)00033-6
   *UN, 1994, REOPRT GLOBAL C SUS
   *UN, 2005, REPORT INT MEETING
   *UN, 2001, EXAMINING POSSIBLE
   *UNDP, 2006, PARTNERSHIPS MARINE
   Urban FE, 2000, NATURE, V407, P989, DOI 10.1038/35039597
   Urwin K, 2008, GLOBAL ENVIRON CHANG, V18, P180, DOI 10.1016/j.gloenvcha.2007.08.002
   VANBEUKERING P, 2007, VALUING ENV SMALL
   Walker B, 2002, CONSERV ECOL, V6
   Walker B, 2006, ECOL SOC, V11
   Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004
NR 132
TC 58
Z9 64
U1 1
U2 48
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 2009
VL 19
IS 2
SI SI
BP 213
EP 226
DI 10.1016/j.gloenvcha.2008.11.005
PG 14
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA 452KN
UT WOS:000266539000010
DA 2025-01-10
ER

PT B
AU Bino, G
   Kingsford, RT
   Jenkins, K
AF Bino, Gilad
   Kingsford, Richard T.
   Jenkins, Kim
BE Palutikof, JP
   Boulter, SL
   Barnett, J
   Rissik, D
TI Climate adaptation and adaptive management planning for the Macquarie
   Marshes: a wetland of international importance
SO APPLIED STUDIES IN CLIMATE ADAPTATION
LA English
DT Article; Book Chapter
ID FLOODPLAIN WETLANDS; WATER DIVERSIONS; PROTECTED AREAS; ARID AUSTRALIA;
   CONSERVATION; FLOW; BIODIVERSITY; INDICATORS; IMPACTS; SCIENCE
C1 [Bino, Gilad; Kingsford, Richard T.; Jenkins, Kim] Univ New S Wales, Australian Wetlands Rivers & Landscapes Ctr, Sydney, NSW 2052, Australia.
C3 University of New South Wales Sydney
RP Bino, G (corresponding author), Univ New S Wales, Australian Wetlands Rivers & Landscapes Ctr, Sydney, NSW 2052, Australia.
RI Bino, Gilad/KIQ-5237-2024
OI Bino, Gilad/0000-0002-9265-4057; Kingsford, Richard/0000-0001-6565-4134
CR [Anonymous], FLORA FAUNA MACQUARI
   [Anonymous], LIMITS CLIMATE CHANG
   [Anonymous], 41 CSIRO AUSTR DIV L
   [Anonymous], 2005, EC HUM WELLB WETL WA
   Arthington A, 2012, ENV FLOWS SAVING RIV
   Arthington AH, 2006, ECOL APPL, V16, P1311, DOI 10.1890/1051-0761(2006)016[1311:TCOPEF]2.0.CO;2
   Arthington AH, 2010, FRESHWATER BIOL, V55, P1, DOI 10.1111/j.1365-2427.2009.02340.x
   Baker-Gabb D.J., 1985, RAOU (Royal Australasian Ornithologists Union) Newsletter, P1
   Bino G, 2014, ECOL APPL, V24, P142, DOI 10.1890/13-0202.1
   Brandis KJ, 2011, ENVIRON MANAGE, V48, P489, DOI 10.1007/s00267-011-9705-5
   Bren L. J., 1988, Australian Forestry, V51, P57
   Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512
   CARPENTER SR, 1992, ANNU REV ECOL SYST, V23, P119, DOI 10.1146/annurev.es.23.110192.001003
   Catalan J, 2009, FRESHWATER BIOL, V54, P2494, DOI 10.1111/j.1365-2427.2009.02286.x
   Chessman BC, 2009, GLOBAL CHANGE BIOL, V15, P2791, DOI 10.1111/j.1365-2486.2008.01840.x
   Chesterfield E. A., 1986, Australian Forestry, V49, P4
   CSIRO, 2008, WAT AV MACQ CAST REP
   Davis Jenny, 2008, Ecological Management & Restoration, V9, P26, DOI 10.1111/j.1442-8903.2008.00384.x
   Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950
   Fleishman E, 2011, BIOSCIENCE, V61, P290, DOI 10.1525/bio.2011.61.4.9
   Gordon LJ, 2008, TRENDS ECOL EVOL, V23, P211, DOI 10.1016/j.tree.2007.11.011
   Herron N, 2002, J ENVIRON MANAGE, V65, P369, DOI 10.1016/S0301-4797(02)90562-1
   Imhoff ML, 2004, NATURE, V429, P870, DOI 10.1038/nature02619
   Jenkins K, 2009, CHIANG MAI J SCI, V36, P224
   Jenkins KM, 2005, HYDROBIOLOGIA, V552, P57, DOI 10.1007/s10750-005-1505-6
   Keith DA, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0062111
   Kingsford R.T., 2012, Strategic adaptive management guidelines for effective conservation of freshwater ecosystems in and around protected areas of the world
   Kingsford RT, 2011, BIOL CONSERV, V144, P1194, DOI 10.1016/j.biocon.2010.09.022
   Kingsford RT, 2000, AUSTRAL ECOL, V25, P109, DOI 10.1046/j.1442-9993.2000.01036.x
   KINGSFORD RT, 1995, ENVIRON MANAGE, V19, P867, DOI 10.1007/BF02471938
   Kingsford RT, 2005, RIVER RES APPL, V21, P187, DOI 10.1002/rra.840
   Kingsford RT, 2004, ECOLOGY, V85, P2478, DOI 10.1890/03-0470
   Kingsford RT, 1998, COLON WATERBIRD, V21, P159, DOI 10.2307/1521903
   Lemly AD, 2000, ENVIRON MANAGE, V25, P485, DOI 10.1007/s002679910039
   Lovejoy TE, 2006, TRENDS ECOL EVOL, V21, P329, DOI 10.1016/j.tree.2006.04.005
   Martin J, 2009, ECOL APPL, V19, P1079, DOI 10.1890/08-0255.1
   Michener WK, 2012, TRENDS ECOL EVOL, V27, P85, DOI 10.1016/j.tree.2011.11.016
   Murray-Darling Basin Authority, 2012, DEV HLTH WORK BAS DR
   National Parks and Wildlife Service (NSW), 2012, MACQ MARSH NAT RES
   Nyberg J.B., 1998, Statistical Methods for Adaptive Management Studies, Land Management Handbook, V42, P1
   Office of Enviroment and Heritage, 2012, MACQ MARSH NAT RES W
   Office of Enviroment and Heritage, 2012, EC CHAR DESCR MACQ M
   Office of Enviroment and Heritage, 2010, MACQ MARSH AD ENV MA
   Palmer MA, 2008, FRONT ECOL ENVIRON, V6, P81, DOI 10.1890/060148
   Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x
   Rayner TS, 2009, ECOHYDROLOGY, V2, P440, DOI 10.1002/eco.73
   Reichman OJ, 2011, SCIENCE, V331, P703, DOI 10.1126/science.1197962
   Ren SQ, 2011, ENVIRON MANAGE, V48, P177, DOI 10.1007/s00267-011-9673-9
   Ren SQ, 2010, ENVIRONMETRICS, V21, P549, DOI 10.1002/env.1002
   Scott A., 1997, 597 CSIRO LAND WAT
   Sekercioglu ÇH, 2004, P NATL ACAD SCI USA, V101, P18042, DOI 10.1073/pnas.0408049101
   SEWPAC, 2012, COMM ENV WAT HOLD
   Steinfeld C., 2013, THESIS U NEW S WALES
   Thomas R, 2010, ECOSYSTEM RESPONSE MODELLING IN THE MURRAY-DARLING BASIN, P137
   Thomas RF, 2011, INT J REMOTE SENS, V32, P4545, DOI 10.1080/01431161.2010.489064
   Turak E, 2011, MAR FRESHWATER RES, V62, P300, DOI 10.1071/MF09297
   Vaze J, 2011, HYDROL PROCESS, V25, P2597, DOI 10.1002/hyp.8030
   Viers JH, 2011, MAR FRESHWATER RES, V62, P266, DOI 10.1071/MF09286
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Whitlock MC, 2010, AM NAT, V175, pE45, DOI 10.1086/650340
   Woodward G, 2010, PHILOS T R SOC B, V365, P2093, DOI 10.1098/rstb.2010.0055
NR 61
TC 2
Z9 2
U1 0
U2 3
PU JOHN WILEY & SONS LTD
PI CHICHESTER
PA THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, WEST SUSSEX, ENGLAND
BN 978-1-118-84502-8; 978-1-118-84501-1
PY 2015
BP 95
EP 106
PG 12
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Book Citation Index – Science (BKCI-S)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA BD8EI
UT WOS:000363880500011
DA 2025-01-10
ER

PT J
AU Mentzel, S
   Grung, M
   Holten, R
   Tollefsen, KE
   Stenrod, M
   Moe, SJ
AF Mentzel, Sophie
   Grung, Merete
   Holten, Roger
   Tollefsen, Knut Erik
   Stenrod, Marianne
   Moe, S. Jannicke
TI Probabilistic risk assessment of pesticides under future agricultural
   and climate scenarios using a bayesian network
SO FRONTIERS IN ENVIRONMENTAL SCIENCE
LA English
DT Article
DE bayesian network models; exposure modelling; environmental risk
   assessment; pesticides; uncertainty
ID MODEL; WATER; RECOMMENDATIONS; PRODUCTIVITY; MANAGEMENT; IMPACTS;
   STREAMS
AB The use of Bayesian networks (BN) for environmental risk assessment has increased in recent years as they offer a more transparent way to characterize risk and evaluate uncertainty than the traditional risk assessment paradigms. In this study, a novel probabilistic approach applying a BN for risk calculation was further developed and explored by linking the calculation a risk quotient to alternative future scenarios. This extended version of the BN model uses predictions from a process-based pesticide exposure model (World Integrated System for Pesticide Exposure - WISPE) in the exposure characterization and toxicity test data in the effect characterization. The probability distributions for exposure and effect are combined into a risk characterization (i.e. the probability distribution of a risk quotient), a common measure of the exceedance of an environmentally safe exposure threshold. The BN model was used to account for variabilities of the predicted pesticide exposure in agricultural streams, and inter-species variability in sensitivity to the pesticide among freshwater species. In Northern Europe, future climate scenarios typically predict increased temperature and precipitation, which can be expected to cause an increase in weed infestations, plant disease and insect pests. Such climate-related changes in pest pressure in turn can give rise to altered agricultural practices, such as increased pesticide application rates, as an adaptation to climate change. The WISPE model was used to link a set of scenarios consisting of two climate models, three pesticide application scenarios and three periods (year ranges), for a case study in South-East Norway. The model was set up for the case study by specifying environmental factors such as soil properties and field slope together with chemical properties of pesticides to predict the pesticide exposure in streams adjacent to the agricultural fields. The model was parameterized and evaluated for five selected pesticides: the three herbicides clopyralid, fluroxypyr-meptyl, and 2-(4-chloro-2-methylphenoxy) acetic acid (MCPA), and the two fungicides prothiocanzole and trifloxystrobin. This approach enabled the calculation and visualization of probability distribution of the risk quotients for the future time horizons 2050 and 2085. The risk posed by the pesticides were in general low for this case study, with highest probability of the risk quotient exceeding 1 for the two herbicides fluroxypyr-meptyl and MCPA. The future climate projections used here resulted in only minor changes in predicted exposure concentrations and thereby future risk. However, a stronger increase in risk was predicted for the scenarios with increased pesticide application, which can represent an adaptation to a future climate with higher pest pressures. In the current study, the specific BN model predictions were constrained by an existing set of climate projections which represented only one IPCC scenario (A1B) and two climate models. Further advancement of the BN modelling demonstrated herein, including more recent climate scenarios and a larger set of climate models, is anticipated to result in more relevant risk characterization also for future climate conditions. This probabilistic approach will have the potential to aid targeted management of ecological risks in support of future research, industry and regulatory needs.
C1 [Mentzel, Sophie; Grung, Merete; Tollefsen, Knut Erik; Moe, S. Jannicke] Norwegian Inst Water Res, Sect Ecotoxicol & Risk Assessment, Oslo, Norway.
   [Holten, Roger; Stenrod, Marianne] Norwegian Inst Bioecon Res, Div Biotechnol & Plant Hlth, As, Norway.
   [Tollefsen, Knut Erik] Norwegian Univ Life Sci NMBU, Fac Environm Sci & Nat Resource Management, As, Norway.
C3 Norwegian Institute for Water Research (NIVA); Norwegian Institute of
   Bioeconomy Research; Norwegian University of Life Sciences
RP Mentzel, S (corresponding author), Norwegian Inst Water Res, Sect Ecotoxicol & Risk Assessment, Oslo, Norway.
EM som@niva.no
RI Moe, S./AAC-8121-2020; Holten, Roger/ABD-3805-2021
FU ECORISK 2050 from European Union; NIVA's Computational Toxicology
   Program [813124]; Utredning om de norske overflatevannscenariene
FX This research was funded by ECORISK 2050, which has received funding
   from European Uniona's Horizon 2020 research and innovation program
   under the grant agreement No. 813124 (H2020-MSCA-ITN-2018). KE Tollefsen
   was funded by NIVA's Computational Toxicology Program
   (www.niva.no/nctp). Roger Holten has received funding from "Utredning om
   de norske overflatevannscenariene" financed through the Norwegian Action
   Plan for sustainable use of pesticides (2016-2020).
CR Adriaanse PI, 2017, SCI TOTAL ENVIRON, V584, P268, DOI 10.1016/j.scitotenv.2016.12.001
   Aguilera PA, 2011, ENVIRON MODELL SOFTW, V26, P1376, DOI 10.1016/j.envsoft.2011.06.004
   [Anonymous], 2000, SUMMARY POLICYMAKERS
   [Anonymous], 2004, The atmospheric general circulation model echam5 part ii: Sensitivity of simulated climate to horizontal and vertical resolution
   Artigas J, 2012, ENVIRON POLLUT, V160, P201, DOI 10.1016/j.envpol.2011.08.011
   Belanger S, 2017, INTEGR ENVIRON ASSES, V13, P664, DOI 10.1002/ieam.1841
   Belanger SE, 2020, ECOTOX ENVIRON SAFE, V198, DOI 10.1016/j.ecoenv.2020.110684
   Benford D, 2018, EFSA J, V16, DOI 10.2903/j.efsa.2018.5123
   Bolli R.I., 2013, National scenariosNorway; development of WISPE for surface and groundwater modelling of pesticides in major crops
   Bruijn J.D., 2002, DOCUMENT RISK ASSE 1, P337
   Burns L., 2004, Exposure Analysis Modeling System (EXAMS): User manual and system documentation
   Campbell KR, 2000, ENVIRON TOXICOL CHEM, V19, P760, DOI 10.1002/etc.5620190331
   Carriger JF, 2020, ECOL MODEL, V418, DOI 10.1016/j.ecolmodel.2019.108911
   Carriger JF, 2016, ENVIRON SCI TECHNOL, V50, P13195, DOI 10.1021/acs.est.6b03220
   Carriger JF, 2012, INTEGR ENVIRON ASSES, V8, P339, DOI 10.1002/ieam.268
   Chen SH, 2012, ENVIRON MODELL SOFTW, V37, P134, DOI 10.1016/j.envsoft.2012.03.012
   Delcour I, 2015, FOOD RES INT, V68, P7, DOI 10.1016/j.foodres.2014.09.030
   EC, 2009, REG EC 1107 2009 EUR
   EC, 2011, COMM REG EU 546 2011
   EC, 2009, DIR 2009 128 EC EUR
   EC (European Commission), 2020, Report from the Commission to the European Parliament and the Council on the implementation of the Marine Strategy Framework Directive (Directive 2008/56/EC)
   EFSA BFR, 2019, EFSA SUPP PUBL, V16, p1689e
   Eufram, 2006, DETAILED REPORTS ROL
   European Food Safety Authority, 2017, EFSA J, V15, DOI 10.2903/j.efsa.2017.4982
   Fairbrother A, 2016, HUM ECOL RISK ASSESS, V22, P502, DOI 10.1080/10807039.2015.1089400
   FOCUS, 2017, LANDSC MIT FACT AQ R
   FOCUS, 2015, GEN GUID FOC SURF WA
   Fuglestvedt J., 2016, UTREDNING LANDBRUKET
   Gaasland-Tatro L., 2016, THESIS W WASHINGTON
   Gibert K, 2018, ENVIRON MODELL SOFTW, V110, P3, DOI 10.1016/j.envsoft.2018.09.021
   Gordon C, 2000, CLIM DYNAM, V16, P147, DOI 10.1007/s003820050010
   Hanssen-Bauer I., 2015, Klima i Norge 2100. Kunnskapsgrunnlag for klimatilpasning oppdatert i 2015
   Holten R, 2018, J CONTAM HYDROL, V219, P72, DOI 10.1016/j.jconhyd.2018.11.003
   Jager T, 2001, CHEMOSPHERE, V43, P257, DOI 10.1016/S0045-6535(00)00087-4
   Jones CG, 2011, TELLUS A, V63, P1, DOI 10.1111/j.1600-0870.2010.00491.x
   Kaikkonen L, 2021, INTEGR ENVIRON ASSES, V17, P62, DOI 10.1002/ieam.4332
   Kanes R, 2017, J LOSS PREVENT PROC, V50, P142, DOI 10.1016/j.jlp.2017.09.011
   Kattwinkel M, 2011, ECOL APPL, V21, P2068, DOI 10.1890/10-1993.1
   Kjaerulff U.B., 2013, BAYESIAN NETWORKS IN
   Kjellström E, 2011, TELLUS A, V63, P24, DOI 10.1111/j.1600-0870.2010.00475.x
   Landis WG, 2013, ENVIRON TOXICOL CHEM, V32, P79, DOI 10.1002/etc.2047
   Maertens A, 2022, ALTEX-ALTERN ANIM EX, V39, P3, DOI 10.14573/altex.2201081
   Marcot BG, 2017, ECOL MODEL, V358, P1, DOI 10.1016/j.ecolmodel.2017.05.011
   Mentzel S., 2021, DEV BAYESIAN NETWORK
   Moe S.J., 2022, INTEGR ENVIRON ASSES
   Moe SJ, 2021, INTEGR ENVIRON ASSES, V17, P53, DOI 10.1002/ieam.4369
   Moe SJ, 2021, INTEGR ENVIRON ASSES, V17, P147, DOI 10.1002/ieam.4348
   Mohaupt V., 2020, ETC/ICM Technical Report 1/2020, P86
   More SJ, 2019, EFSA J, V17, DOI 10.2903/j.efsa.2019.5634
   Neil Martin, 2018, Risk Assessment and Decision Analysis with Bayesian Networks, VSecond, DOI [10.1201/b21982, DOI 10.1201/B21982]
   Nojavan AF, 2017, ENVIRON MODELL SOFTW, V87, P64, DOI 10.1016/j.envsoft.2016.10.007
   Olesen JE, 2002, EUR J AGRON, V16, P239, DOI 10.1016/S1161-0301(02)00004-7
   Popp J, 2013, AGRON SUSTAIN DEV, V33, P243, DOI 10.1007/s13593-012-0105-x
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Rai SN, 2002, HUM ECOL RISK ASSESS, V8, P493, DOI 10.1080/20028091057042
   Samuelsson P, 2011, TELLUS A, V63, P4, DOI 10.1111/j.1600-0870.2010.00478.x
   Scientific Advice On Environmental Quality Standards, 2017, TECHN GUID DER ENV Q
   Solomon K, 2000, CROP PROT, V19, P649, DOI 10.1016/S0261-2194(00)00086-7
   Sperotto A, 2017, J ENVIRON MANAGE, V202, P320, DOI 10.1016/j.jenvman.2017.07.044
   Spycher S, 2018, ENVIRON SCI TECHNOL, V52, P4526, DOI 10.1021/acs.est.8b00077
   Stenrod M, 2008, COLD REG SCI TECHNOL, V53, P4, DOI 10.1016/j.coldregions.2007.06.007
   Stenrod M, 2016, ENVIRON SCI POLLUT R, V23, P15779, DOI 10.1007/s11356-016-7087-1
   Stenrod M, 2015, ACTA AGR SCAND B-S P, V65, P199, DOI 10.1080/09064710.2014.977339
   Sutherst RW, 2011, WIRES CLIM CHANGE, V2, P220, DOI 10.1002/wcc.102
   Topping CJ, 2020, SCIENCE, V367, P360, DOI 10.1126/science.aay1144
   Troldborg M., 2021, HYDROL EARTH SYST SC, V2021, P1
   Venables W. N., 2002, Modern Applied Statistics with S, DOI 10.1007/978-0-387-21706-2
   Verdonck F.A.M., 2003, THESIS GHENT U NEW Y
   Wang F, 2020, FRONT EARTH SC-SWITZ, V8, DOI 10.3389/feart.2020.00014
   Weisner O, 2021, SCI TOTAL ENVIRON, V796, DOI 10.1016/j.scitotenv.2021.149017
   Wickham H., 2019, J OPEN SOURCE SOFTW, V4, P1686, DOI DOI 10.21105/JOSS.01686
   Williams W.M., 2010, USERS MANUAL PROGRAM
   Wolf R, 2021, ENVIRON SCI TECHNOL, V55, P1699, DOI 10.1021/acs.est.0c06268
NR 73
TC 9
Z9 10
U1 2
U2 26
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-665X
J9 FRONT ENV SCI-SWITZ
JI Front. Environ. Sci.
PD SEP 15
PY 2022
VL 10
AR 957926
DI 10.3389/fenvs.2022.957926
PG 17
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 4Z6IQ
UT WOS:000862310200001
OA Green Submitted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Farooq, MS
   Gyilbag, A
   Virk, AL
   Xu, YL
AF Shahbaz Farooq, Muhammad
   Gyilbag, Amatus
   Virk, Ahmad Latif
   Xu, Yinlong
TI Adaptability Mechanisms of Japonica Rice Based on the Comparative
   Temperature Conditions of Harbin and Qiqihar, Heilongjiang Province of
   Northeast China
SO AGRONOMY-BASEL
LA English
DT Article
DE japonica rice; adaptability mechanisms; grain-filling; anthesis; grain
   yield; Northeast China
ID GRAIN-FILLING PERIOD; LAND-USE CHANGE; CLIMATE-CHANGE; SPIKELET
   FERTILITY; KERNEL DEVELOPMENT; IRRIGATION SYSTEM; NIGHT TEMPERATURE;
   WATER-RESOURCES; AMYLOSE CONTENT; USE EFFICIENCY
AB Japonica rice has been considerably impacted from climate change, mainly regarding temperature variations. Adjusting the crop management practices based on the assessment of adaptability mechanisms to take full advantage of climate resources during the growing season is an important technique for japonica rice adaptation to climate changed conditions. Research based on the adaptability mechanisms of japonica rice to temperature and other environmental variables has theoretical and practical significance to constitute a theoretical foundation for sustainable japonica rice production system. A contrived study was arranged with method of replacing time with space having four different japonica cultivars namely Longdao-18, Longdao-21, Longjing-21, and Suijing-18, and carried out in Harbin and Qiqihar during the years 2017-2019 to confer with the adaptability mechanisms in terms of growth, yield and quality. The formation of the grain-filling material for superior and inferior grains was mainly in the middle phase which shared nearly 60% of whole grain-filling process. Maximum yield was noticed in Longdao-18 at Harbin and Qiqihar which was 9500 and 13,250 kg/ha, respectively. The yield contributing components fertile tillers, number of grains per panicle, and 1000-grain weight were higher at Qiqihar; therefore, there was more potential to get higher yield. The data for grain-filling components demonstrated that the filling intensity and duration at Qiqihar was contributive to increase the grain yield, whereas the limiting agents to limit yield at Harbin were the dry weights of inferior grains. The varietal differences in duration and time of day of anthesis were small. Across all cultivars and both study sites, nearly 85% of the variation of the maximum time of anthesis could be justified with mean atmospheric temperature especially mean minimum temperature. Mean onset of anthesis was earliest in Longdao-21 at Harbin, whereas it was latest in Longdao-18 at Qiqihar. The maximum time to end anthesis and the longest duration of anthesis were taken by Longdao-18, i.e., 9.0 hasr and 4.2 h, respectively. Chalkiness and brown rice percentages were elevated at Qiqihar showing Harbin produced good quality rice. This study investigated the adaptability mechanisms of japonica rice under varying temperature conditions to distinguish the stress tolerance features for future sustainability and profitability in NEC. It was concluded that there is an adaptive value for anthesis especially regarding T-min and, moreover, earlier transplantation may produce tall plants. The results demonstrated that high temperature at the onset of anthesis at the start of the day enhanced the escape from high temperature later during the day. Early transplantation is recommended in NEC because earlier anthesis during humid days rendered for potential escape from high ambient temperature later during that day. Temperature influenced japonica rice significantly and coherently, whereas the influence of growing season precipitation was not significant. Daily mean sunshine influenced the japonica rice significantly, but the impact was less spatially coherent. The results foregrounded the response of the japonica rice to external driving factors focusing climate, but ignored socioeconomic suggesting emphasis on both driving factors to target future research and render important insights into how japonica rice can adapt in mid-high-latitude regions.
C1 [Shahbaz Farooq, Muhammad; Gyilbag, Amatus; Xu, Yinlong] Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China.
   [Virk, Ahmad Latif] China Agr Univ, Coll Agron & Biotechnol, Beijing 100193, Peoples R China.
C3 Chinese Academy of Agricultural Sciences; Institute of Environment &
   Sustainable Development in Agriculture, CAAS; China Agricultural
   University
RP Xu, YL (corresponding author), Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China.
EM virk3813b64@yahoo.com
RI Shahbaz Farooq, Muhammad/HNB-7639-2023; Virk, Ahmad Latif/GLR-2415-2022
OI AMATUS, GYILBAG/0000-0003-1722-3959
FU Climate Change Adaptation Lab of Institute of Environment and
   Sustainable Development in Agriculture (IEDA), Chinese Academy of
   Agricultural Sciences (CAAS)
FX This study was financially supported by the Climate Change Adaptation
   Lab of Institute of Environment and Sustainable Development in
   Agriculture (IEDA), Chinese Academy of Agricultural Sciences (CAAS).
CR Acuña TLB, 2008, FIELD CROP RES, V108, P117, DOI 10.1016/j.fcr.2008.04.003
   Aghaee A, 2011, AFR J BIOTECHNOL, V10, P7617
   Ahmed N, 2008, AUST J AGR RES, V59, P599, DOI 10.1071/AR07340
   Akinwale M. G., 2011, African Journal of Plant Science, V5, P207
   Alghabari F, 2018, BANGL J BOT, V47, P421, DOI 10.3329/bjb.v47i3.38679
   Ali F, 2019, J AGRON CROP SCI, V205, P179, DOI 10.1111/jac.12312
   Ambardekar AA, 2011, FIELD CROP RES, V122, P179, DOI 10.1016/j.fcr.2011.03.012
   Andronova NG, 2000, GEOPHYS RES LETT, V27, P2137, DOI 10.1029/2000GL006109
   Ao HJ, 2010, FIELD CROP RES, V116, P108, DOI 10.1016/j.fcr.2009.11.020
   ASAOKA M, 1985, AGR BIOL CHEM TOKYO, V49, P373, DOI 10.1080/00021369.1985.10866741
   Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
   Bajracharya J, 2010, GENET RESOUR CROP EV, V57, P1013, DOI 10.1007/s10722-010-9544-x
   Baker J., 1993, Journal of Agricultural Meteorology, V48, P575, DOI DOI 10.2480/agrmet.48.575
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Challinor AJ, 2007, AGR ECOSYST ENVIRON, V119, P190, DOI 10.1016/j.agee.2006.07.009
   Cooper NTW, 2008, CEREAL CHEM, V85, P276, DOI 10.1094/CCHEM-85-3-0276
   Counce PA, 2000, CROP SCI, V40, P436, DOI 10.2135/cropsci2000.402436x
   Counce PA, 2005, CEREAL CHEM, V82, P645, DOI 10.1094/CC-82-0645
   Crowley TJ, 2000, SCIENCE, V289, P270, DOI 10.1126/science.289.5477.270
   de Souza NM, 2017, REV BRAS ENG AGR AMB, V21, P817, DOI 10.1590/1807-1929/agriambi.v21n12p817-821
   Dong J, 2016, GEOPHYS RES LETT, V43, P3754, DOI 10.1002/2016GL068191
   Fábián A, 2019, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.00244
   Farrell TC, 2006, FIELD CROP RES, V98, P178, DOI 10.1016/j.fcr.2006.01.003
   Gao J, 2011, APPL GEOGR, V31, P476, DOI 10.1016/j.apgeog.2010.11.005
   Graf A, 2010, P NATL ACAD SCI USA, V107, P9458, DOI 10.1073/pnas.0914299107
   Hirai Gen-ichi, 2000, Plant Production Science, V3, P129
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Jagadish SVK, 2008, CROP SCI, V48, P1140, DOI 10.2135/cropsci2007.10.0559
   Jagadish SVK, 2007, J EXP BOT, V58, P1627, DOI 10.1093/jxb/erm003
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Kaufmann R.K., 2002, IPCC AR5, V107, P1535, DOI [10.1029/2001JD001516, DOI 10.1029/2001JD001516]
   Kedra M, 2020, WATER-SUI, V12, DOI 10.3390/w12010283
   Kobata T, 2004, AGRON J, V96, P406, DOI 10.2134/agronj2004.0406
   Kobayasi K, 2010, PLANT PROD SCI, V13, P21, DOI 10.1626/pps.13.21
   Kocmankova Eva, 2009, Plant Protection Science, V45, pS48
   Kontgis C, 2015, REMOTE SENS ENVIRON, V169, P255, DOI 10.1016/j.rse.2015.08.004
   Kovi MR, 2011, EUPHYTICA, V179, P319, DOI 10.1007/s10681-010-0332-7
   Krishnan P, 2007, AGR ECOSYST ENVIRON, V122, P233, DOI 10.1016/j.agee.2007.01.019
   Krishnan R, 2011, ADV AGRON, V111, P87, DOI 10.1016/B978-0-12-387689-8.00004-7
   Kuwagata T, 2012, PLANT CELL PHYSIOL, V53, P1418, DOI 10.1093/pcp/pcs087
   Li T, 2015, GLOBAL CHANGE BIOL, V21, P1328, DOI 10.1111/gcb.12758
   Li ZG, 2012, J GEOGR SCI, V22, P29, DOI 10.1007/s11442-012-0909-2
   Lin CJ, 2010, J AGR FOOD CHEM, V58, P10545, DOI 10.1021/jf101575j
   Lisle AJ, 2000, CEREAL CHEM, V77, P627, DOI 10.1094/CCHEM.2000.77.5.627
   Liu LL, 2012, AGR ECOSYST ENVIRON, V149, P20, DOI 10.1016/j.agee.2011.12.008
   Liu YS, 2005, ENVIRON MANAGE, V36, P691, DOI 10.1007/s00267-004-0285-5
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Mamun EA, 2006, CELL BIOL INT, V30, P583, DOI 10.1016/j.cellbi.2006.03.004
   Maruyama D, 2013, DEV CELL, V25, P317, DOI 10.1016/j.devcel.2013.03.013
   Masutomi Y, 2009, AGR ECOSYST ENVIRON, V131, P281, DOI 10.1016/j.agee.2009.02.004
   Matsui T, 2001, PLANT PROD SCI, V4, P36, DOI 10.1626/pps.4.36
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Mohanty S., 2013, Philipp. Int. Rice Res. Inst, V14, P1
   Moradpour S., 2013, International Journal of Agriculture and Crop Sciences (IJACS), V5, P267
   Morita S., 2004, Japanese Journal of Crop Science, V73, P77, DOI 10.1626/jcs.73.77
   Muller A., 2011, MITIGATING GREENHOUS, V88
   Nagai T, 2009, PLANT CELL PHYSIOL, V50, P744, DOI 10.1093/pcp/pcp029
   Oh-e I, 2007, PLANT PROD SCI, V10, P412, DOI 10.1626/pps.10.412
   Paterson RRM, 2011, FOOD RES INT, V44, P2555, DOI 10.1016/j.foodres.2011.05.038
   Peng SB, 2006, FIELD CROP RES, V96, P252, DOI 10.1016/j.fcr.2005.07.007
   Peng SB, 2009, PLANT PROD SCI, V12, P3, DOI 10.1626/pps.12.3
   Peraudeau S, 2015, J EXP BOT, V66, P3931, DOI 10.1093/jxb/erv193
   Peraudeau S, 2015, FIELD CROP RES, V171, P67, DOI 10.1016/j.fcr.2014.11.004
   PETERSON ML, 1974, CALIF AGR, V28, P12
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   Pitman AJ, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2003JD004347
   Pramanick B, 2020, J APPL PHYCOL, V32, P3377, DOI 10.1007/s10811-020-02150-z
   Rang ZW, 2011, ENVIRON EXP BOT, V70, P58, DOI 10.1016/j.envexpbot.2010.08.009
   Rasul G., 2011, Pakistan Journal of Meteorology, V8, P53
   Reay D., 2007, Intergovernmental Panel on Climate Change: Fourth Assessment Report, DOI DOI 10.1038/446727A
   Sakamoto T, 2006, REMOTE SENS ENVIRON, V100, P1, DOI 10.1016/j.rse.2005.09.007
   Samejima H, 2020, PLANT PROD SCI, V23, P466, DOI 10.1080/1343943X.2020.1777877
   Samol P., 2015, Australian Journal of Crop Science, V9, P886
   Shah F, 2011, J AGR SCI-CAMBRIDGE, V149, P545, DOI 10.1017/S0021859611000360
   Sheehy JE, 2006, FIELD CROP RES, V98, P151, DOI 10.1016/j.fcr.2006.01.001
   Shrestha S, 2011, FIELD CROP RES, V121, P158, DOI 10.1016/j.fcr.2010.12.006
   Stuerz S, 2014, FIELD CROP RES, V163, P74, DOI 10.1016/j.fcr.2014.04.001
   Stuerz S, 2014, FIELD CROP RES, V163, P64, DOI 10.1016/j.fcr.2014.04.002
   Sunoj VSJ, 2016, ENVIRON EXP BOT, V130, P113, DOI 10.1016/j.envexpbot.2016.04.007
   Tang L, 2009, NJAS-WAGEN J LIFE SC, V57, P83, DOI 10.1016/j.njas.2009.12.003
   Tao FL, 2013, GLOBAL CHANGE BIOL, V19, P3200, DOI 10.1111/gcb.12250
   Tardieu F, 2013, FRONT PHYSIOL, V4, DOI 10.3389/fphys.2013.00017
   Tian Xiao-Hai, 2007, Yingyong Shengtai Xuebao, V18, P2632
   Tong CL, 2003, AGR ECOSYST ENVIRON, V95, P523, DOI 10.1016/S0167-8809(02)00182-2
   Tsukaguchi T, 2008, PLANT PROD SCI, V11, P203, DOI 10.1626/pps.11.203
   van Oort PAJ, 2014, FIELD CROP RES, V156, P303, DOI 10.1016/j.fcr.2013.11.007
   Wang E, 2017, NAT PLANTS, V3, DOI 10.1038/nplants.2017.102
   Wang F, 2017, J INTEGR AGR, V16, P1000, DOI 10.1016/S2095-3119(16)61561-7
   Wassmann R, 2009, ADV AGRON, V101, P59, DOI 10.1016/S0065-2113(08)00802-X
   Wassmann R, 2009, ADV AGRON, V102, P91, DOI 10.1016/S0065-2113(09)01003-7
   Xia T, 2014, J INTEGR AGR, V13, P1575, DOI 10.1016/S2095-3119(14)60802-9
   Xie XiaoJin Xie XiaoJin, 2009, Jiangsu Journal of Agricultural Sciences, V25, P28
   Yang JC, 2006, J EXP BOT, V57, P149, DOI 10.1093/jxb/erj018
   Yang JC, 2006, NEW PHYTOL, V169, P223, DOI 10.1111/j.1469-8137.2005.01597.x
   Yang JC, 2010, J EXP BOT, V61, P1, DOI 10.1093/jxb/erp348
   Yang LX, 2008, GLOBAL CHANGE BIOL, V14, P1844, DOI 10.1111/j.1365-2486.2008.01624.x
   Yang ZY, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01908
   YOSHIDA S., 1977, SOIL SCI PLANT NUTR, V23, P93, DOI [10.1080/00380768.1977.10433026, DOI 10.1080/00380768.1977.10433026]
   Yu QY, 2017, AGR SYST, V153, P212, DOI 10.1016/j.agsy.2017.02.003
   Zeng YH, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01350
   Zhou Q, 2017, J INTEGR AGR, V16, P1028, DOI 10.1016/S2095-3119(16)61506-X
   Zhu JY, 2011, MOL BREEDING, V27, P171, DOI 10.1007/s11032-010-9420-6
   ZHU Q, 1988, Acta Agronomica Sinica, V14, P182
NR 103
TC 7
Z9 7
U1 1
U2 24
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4395
J9 AGRONOMY-BASEL
JI Agronomy-Basel
PD NOV
PY 2021
VL 11
IS 11
AR 2367
DI 10.3390/agronomy11112367
PG 35
WC Agronomy; Plant Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Plant Sciences
GA XF0GH
UT WOS:000723757400001
OA gold
DA 2025-01-10
ER

PT J
AU Le Roy, B
   Lemonsu, A
   Schoetter, R
   Machado, T
AF Le Roy, Benjamin
   Lemonsu, Aude
   Schoetter, Robert
   Machado, Tiago
TI Study of the Future Evolution of the Urban Climate of Paris by
   Statistical-Dynamical Downscaling of the EURO-CORDEX Ensemble
SO JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
LA English
DT Article
DE Climate change; Climate models; Downscaling; Land surface model; Urban
   meteorology; Heat islands
ID ENERGY-BALANCE MODEL; HEAT-ISLAND; REGIONAL CLIMATE; LAND-SURFACE; HUMAN
   HEALTH; IMPACT; TEB; PARAMETERIZATION; SCHEME; CMIP5
AB High-resolution urban climate projections are needed for local decision-making on climate change adaptation. Regional climate models have resolutions that are too coarse to simulate the urban climate at such resolutions. A novel statistical-dynamical downscaling (SDD) approach is used here to downscale the EURO-CORDEX ensemble to a resolution of 1 km while adding the effect of the city of Paris (France) on air temperature. The downscaled atmospheric fi elds are then used to drive the Town Energy Balance urban canopy model to produce high-resolution temperature maps over the period 1970-2099, while maintaining the city's land cover in its present state. The different steps of the SDD are evaluated for the summer season. The regional climate models simulate minimum (maximum) temperatures (TN/TX) that are too high (low). After correction and downscaling, the urban simulations inherit some of these biases but give satisfactory results for summer urban heat islands (UHIs), with average biases of-0.6 K at night and 1 0.3 K during the day. Changes in future summer temperatures are then studied for two greenhouse gas emission scenarios, RCP4.5 and RCP8.5. Outside the city, the simulations project average increases of 4.1 and 4.8 K for TN and TX for RCP8.5, respectively. In the city, warming is lower, resulting in a decrease in UHIs of-0.19 K at night (from 2.1 to 1.9 K) and-0.16 K during the day. The changes in UHIs are explained by higher rates of warming in rural temperatures due to lower summer precipitation and soil water content and are partially offset by increased ground heat storage in the city.
C1 [Le Roy, Benjamin; Lemonsu, Aude; Schoetter, Robert; Machado, Tiago] Univ Toulouse, CNRS, CNRM, Meteofrance, Toulouse, France.
   [Le Roy, Benjamin] Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GER, Hamburg, Germany.
C3 Centre National de la Recherche Scientifique (CNRS); Meteo France;
   Universite de Toulouse; Helmholtz Association; Helmholtz-Zentrum Hereon
RP Le Roy, B (corresponding author), Univ Toulouse, CNRS, CNRM, Meteofrance, Toulouse, France.; Le Roy, B (corresponding author), Helmholtz Zentrum Hereon, Climate Serv Ctr Germany GER, Hamburg, Germany.
EM benjamin.le-roy@hereon.de
RI Le Roy, Benjamin/ABA-3284-2021; Schoetter, Robert/JQV-8894-2023
OI Le Roy, Benjamin/0000-0002-5496-2462
CR Aguejdad R, 2016, CYBERGEO, DOI 10.4000/cybergeo.27668
   [Anonymous], 2014, La Mtorologie, DOI DOI 10.4267/2042/53750
   Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859
   Bartók B, 2017, CLIM DYNAM, V49, P2665, DOI 10.1007/s00382-016-3471-2
   Bernard E, 2022, J APPL METEOROL CLIM, V61, P1159, DOI 10.1175/JAMC-D-21-0134.1
   Bocher E, 2018, URBAN CLIM, V24, P153, DOI 10.1016/j.uclim.2018.01.008
   Boé J, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/JD006889
   Boé J, 2021, CLIMATIC CHANGE, V167, DOI 10.1007/s10584-021-03173-2
   Boé J, 2020, CLIM DYNAM, V54, P2981, DOI 10.1007/s00382-020-05153-1
   Bueno B, 2012, GEOSCI MODEL DEV, V5, P433, DOI 10.5194/gmd-5-433-2012
   Buzan JR, 2020, ANNU REV EARTH PL SC, V48, P623, DOI 10.1146/annurev-earth-053018-060100
   Cattiaux J, 2015, GEOPHYS RES LETT, V42, P899, DOI 10.1002/2014GL062531
   Champeaux JL, 2005, METEOROL APPL, V12, P29, DOI 10.1017/S1350482705001519
   Chapman S, 2017, LANDSCAPE ECOL, V32, P1921, DOI 10.1007/s10980-017-0561-4
   Charles S. P., 2004, IPCC TGCIA Tech. Doc.
   Chen F, 2012, B AM METEOROL SOC, V93, P1725, DOI 10.1175/BAMS-D-11-00217.1
   Daniel M, 2019, CLIM DYNAM, V52, P2745, DOI 10.1007/s00382-018-4289-x
   de Munck C., 2021, Urban Climate Science for Planning Healthy Cities, P239
   Dixon KW, 2016, CLIMATIC CHANGE, V135, P395, DOI 10.1007/s10584-016-1598-0
   Doblas-Reyes F. J., 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, P1363, DOI [10.1017/9781009157896.012, DOI 10.1017/9781009157896.012]
   Domeisen DIV, 2023, NAT REV EARTH ENV, V4, P36, DOI 10.1038/s43017-022-00371-z
   Duchêne F, 2022, URBAN CLIM, V46, DOI 10.1016/j.uclim.2022.101319
   Duchêne F, 2020, J APPL METEOROL CLIM, V59, P1109, DOI 10.1175/JAMC-D-19-0104.1
   Ekström M, 2015, WIRES CLIM CHANGE, V6, P301, DOI 10.1002/wcc.339
   Endlicher W., 2008, URBAN ECOLOGY AN INT, P269
   ERBS DG, 1982, SOL ENERGY, V28, P293, DOI 10.1016/0038-092X(82)90302-4
   Eyring 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, DOI [10.1017/9781009157896.005, DOI 10.1017/9781009157896.005]
   Faroux S, 2013, GEOSCI MODEL DEV, V6, P563, DOI 10.5194/gmd-6-563-2013
   Fischer EM, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2011GL050576
   FREYBUNESS F, 1995, THEOR APPL CLIMATOL, V50, P117, DOI 10.1007/BF00866111
   Früh B, 2011, J APPL METEOROL CLIM, V50, P167, DOI 10.1175/2010JAMC2377.1
   Fuentes U, 2000, THEOR APPL CLIMATOL, V65, P119, DOI 10.1007/s007040070038
   Giorgi F, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P583
   Giorgi F, 2015, ANNU REV ENV RESOUR, V40, P467, DOI 10.1146/annurev-environ-102014-021217
   Grimmond CSB, 2010, J APPL METEOROL CLIM, V49, P1268, DOI 10.1175/2010JAMC2354.1
   Gutiérrez C, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6666
   Haeffelin M, 2005, ANN GEOPHYS-GERMANY, V23, P253, DOI 10.5194/angeo-23-253-2005
   Hamdi R, 2008, J APPL METEOROL CLIM, V47, P2627, DOI 10.1175/2008JAMC1865.1
   Hamdi R, 2015, URBAN CLIM, V12, P160, DOI 10.1016/j.uclim.2015.03.003
   Hamdi R, 2014, INT J CLIMATOL, V34, P978, DOI 10.1002/joc.3734
   Hatchett BJ, 2016, J ARID ENVIRON, V128, P59, DOI 10.1016/j.jaridenv.2016.01.007
   Heaviside Clare, 2017, Curr Environ Health Rep, V4, P296, DOI 10.1007/s40572-017-0150-3
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   Hidalgo J, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0208138
   Hidalgo J, 2014, FRONT ENV SCI-SWITZ, V2, DOI 10.3389/fenvs.2014.00040
   Hoffmann P, 2018, METEOROL Z, V27, P89, DOI 10.1127/metz/2016/0773
   Hyndman RJ, 1996, AM STAT, V50, P361, DOI 10.2307/2684934
   Jacob D, 2020, REG ENVIRON CHANGE, V20, DOI 10.1007/s10113-020-01606-9
   Jacob D, 2014, REG ENVIRON CHANGE, V14, P563, DOI 10.1007/s10113-013-0499-2
   Jennings KS, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03629-7
   Jougla R., 2019, Meteorologie, V2019, P59, DOI [10.4267/2042/70370, DOI 10.4267/2042/70370]
   Keat WJ, 2021, CLIM DYNAM, V57, P3583, DOI 10.1007/s00382-021-05883-w
   Keppas SC, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12070884
   Kotlarski S, 2014, GEOSCI MODEL DEV, V7, P1297, DOI 10.5194/gmd-7-1297-2014
   Kounkou-Arnaud R., 2018, 10 INT C URB CLIM IC
   Krakauer NY, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024014
   Kwok YT, 2019, INT J CLIMATOL, V39, P5292, DOI 10.1002/joc.6140
   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
   Langendijk G.S., 2019, ATMOSPHERE-BASEL, V10, P730, DOI [10.3390/atmos10120730, DOI 10.3390/atmos10120730]
   Lauwaet D, 2016, URBAN CLIM, V15, P1, DOI 10.1016/j.uclim.2015.11.008
   Lauwaet D, 2015, CLIMATE, V3, P391, DOI 10.3390/cli3020391
   Le Roy B, 2021, CLIM DYNAM, V56, P2487, DOI 10.1007/s00382-020-05600-z
   Le Roy B, 2020, INT J CLIMATOL, V40, P3567, DOI 10.1002/joc.6414
   Lee J.-Y., 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, P553, DOI [10.1017/9781009157896.006, DOI 10.1017/9781009157896.006]
   Lemonsu A, 2023, CLIM DYNAM, V61, P1643, DOI 10.1007/s00382-022-06647-w
   Lemonsu A, 2015, URBAN CLIM, V14, P586, DOI 10.1016/j.uclim.2015.10.007
   Lemonsu A, 2012, GEOSCI MODEL DEV, V5, P1377, DOI 10.5194/gmd-5-1377-2012
   Lemonsu A, 2013, CLIMATIC CHANGE, V116, P679, DOI 10.1007/s10584-012-0521-6
   Leung D.Y. C., 2015, FRONT ENV SCI-SWITZ, V2, DOI [DOI 10.3389/fenvs.2014.00069, 10.3389/fenvs.2014.00069]
   Lind P, 2023, CLIM DYNAM, V61, P519, DOI 10.1007/s00382-022-06589-3
   Lindvall J, 2015, CLIM DYNAM, V44, P405, DOI 10.1007/s00382-014-2144-2
   Lo YTE, 2020, J CLIMATE, V33, P9015, DOI 10.1175/JCLI-D-19-0961.1
   Luber G., 2008, American Journal of Preventive Medicine, V35, P429, DOI 10.1016/j.amepre.2008.08.021
   Lucas-Picher P, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.731
   MANN HB, 1947, ANN MATH STAT, V18, P50, DOI 10.1214/aoms/1177730491
   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, 2000, BOUND-LAY METEOROL, V94, P357, DOI 10.1023/A:1002463829265
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McCarthy MP, 2012, INT J CLIMATOL, V32, P1875, DOI 10.1002/joc.2402
   McCarthy MP, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL042845
   McMichael AJ, 2006, LANCET, V367, P859, DOI 10.1016/S0140-6736(06)68079-3
   Mengelkamp HT, 1997, J WIND ENG IND AEROD, V67-8, P449, DOI 10.1016/S0167-6105(97)00093-7
   Mezghani A, 2019, J APPL METEOROL CLIM, V58, P1061, DOI 10.1175/JAMC-D-18-0179.1
   Nogueira M, 2020, URBAN CLIM, V34, DOI 10.1016/j.uclim.2020.100683
   Noilhan J, 1996, GLOBAL PLANET CHANGE, V13, P145, DOI 10.1016/0921-8181(95)00043-7
   NOILHAN J, 1989, MON WEATHER REV, V117, P536, DOI 10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2
   NUNEZ M, 1977, J APPL METEOROL, V16, P11, DOI 10.1175/1520-0450(1977)016<0011:TEBOAU>2.0.CO;2
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Oke T.R., 1984, Applied Climatology, V14, P19
   OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401
   Oleson KW, 2011, INT J CLIMATOL, V31, P1848, DOI 10.1002/joc.2201
   Oleson K, 2012, J CLIMATE, V25, P1390, DOI 10.1175/JCLI-D-11-00098.1
   Ozturk T, 2022, CLIM DYNAM, V59, P1799, DOI 10.1007/s00382-021-06069-0
   Pigeon G, 2014, ENERG BUILDINGS, V76, P1, DOI 10.1016/j.enbuild.2013.10.038
   Prein AF, 2016, CLIM DYNAM, V46, P383, DOI 10.1007/s00382-015-2589-y
   R Core Team, 2019, R LANG ENV STAT COMP
   Redon E, 2020, GEOSCI MODEL DEV, V13, P385, DOI 10.5194/gmd-13-385-2020
   Redon EC, 2017, GEOSCI MODEL DEV, V10, P385, DOI 10.5194/gmd-10-385-2017
   Riahi K, 2011, CLIMATIC CHANGE, V109, P33, DOI 10.1007/s10584-011-0149-y
   Ribes A, 2022, EARTH SYST DYNAM, V13, P1397, DOI 10.5194/esd-13-1397-2022
   Rigal A, 2019, CLIM DYNAM, V53, P275, DOI 10.1007/s00382-018-4584-6
   Rizwan AM, 2008, J ENVIRON SCI, V20, P120, DOI 10.1016/S1001-0742(08)60019-4
   Roste J, 2022, CLIM DYNAM, V59, P2445, DOI 10.1007/s00382-022-06219-y
   Rummukainen M, 2016, WIRES CLIM CHANGE, V7, P145, DOI 10.1002/wcc.378
   Rummukainen M, 2010, WIRES CLIM CHANGE, V1, P82, DOI 10.1002/wcc.8
   Sachindra DA, 2016, Q J ROY METEOR SOC, V142, P172, DOI 10.1002/qj.2642
   Salvi K, 2016, CLIM DYNAM, V46, P1991, DOI 10.1007/s00382-015-2688-9
   Santamouris M, 2020, ENERG BUILDINGS, V207, DOI 10.1016/j.enbuild.2019.109482
   Scherrer SC, 2006, INT J CLIMATOL, V26, P565, DOI 10.1002/joc.1270
   Schoetter R, 2020, J APPL METEOROL CLIM, V59, P859, DOI 10.1175/JAMC-D-19-0182.1
   Schoetter R, 2017, GEOSCI MODEL DEV, V10, P2801, DOI 10.5194/gmd-10-2801-2017
   Schoof JT, 2013, GEOGR COMPASS, V7, P249, DOI 10.1111/gec3.12036
   Schwingshackl C, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4949
   Sedlar J, 2009, CRYOSPHERE, V3, P75, DOI 10.5194/tc-3-75-2009
   Seneviratne S. I., 2021, Climate Change 2021-The Physical Science Basis, P1513, DOI [DOI 10.1017/9781009157896.013, 10.1017/9781009157896.013]
   Sharma R, 2019, J URBAN HEALTH, V96, P235, DOI 10.1007/s11524-018-0322-y
   Solman SA, 2019, CLIM DYNAM, V53, P1547, DOI 10.1007/s00382-019-04689-1
   Sorland SL, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aacc77
   Spinoni J, 2018, INT J CLIMATOL, V38, P1718, DOI 10.1002/joc.5291
   Stewart ID, 2011, INT J CLIMATOL, V31, P200, DOI 10.1002/joc.2141
   Tabary P, 2012, IAHS-AISH P, V351, P255
   Tan JG, 2010, INT J BIOMETEOROL, V54, P75, DOI 10.1007/s00484-009-0256-x
   Tapiador FJ, 2020, ATMOS RES, V235, DOI 10.1016/j.atmosres.2019.104785
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4
   Trusilova K, 2013, J APPL METEOROL CLIM, V52, P2296, DOI 10.1175/JAMC-D-12-0209.1
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   UNSWORTH MH, 1975, Q J ROY METEOR SOC, V101, P13, DOI 10.1002/qj.49710142703
   van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI [10.1007/s10584-011-0148-z, 10.1007/s10584-011-0157-y]
   Vautard R, 2021, J GEOPHYS RES-ATMOS, V126, DOI 10.1029/2019JD032344
   Viguié V, 2014, TECHNOL FORECAST SOC, V87, P305, DOI 10.1016/j.techfore.2013.12.028
   Wilby R.L., 2007, BUILD ENVIRON, V33, P31, DOI [10.2148/benv.33.1.31, DOI 10.2148/BENV.33.1.31]
   Wilby RL, 1997, PROG PHYS GEOG, V21, P530, DOI 10.1177/030913339702100403
   WILCOXON F, 1946, J ECON ENTOMOL, V39, P269, DOI 10.1093/jee/39.2.269
   Wong LP, 2017, SUSTAIN CITIES SOC, V35, P660, DOI 10.1016/j.scs.2017.09.026
   Xu ZF, 2019, SCI CHINA EARTH SCI, V62, P365, DOI 10.1007/s11430-018-9261-5
   Zhao L, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aa9f73
   Zuvela-Aloise M, 2016, CLIMATIC CHANGE, V135, P425, DOI 10.1007/s10584-016-1596-2
NR 140
TC 0
Z9 0
U1 4
U2 4
PU AMER METEOROLOGICAL SOC
PI BOSTON
PA 45 BEACON ST, BOSTON, MA 02108-3693, UNITED STATES
SN 1558-8424
EI 1558-8432
J9 J APPL METEOROL CLIM
JI J. Appl. Meteorol. Climatol.
PD NOV
PY 2024
VL 63
IS 11
BP 1289
EP 1309
DI 10.1175/JAMC-D-23-0145.1
PG 21
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA K7T7L
UT WOS:001345874500001
OA Green Published
DA 2025-01-10
ER

PT J
AU Yang, Q
   Xiang, YZ
   Li, SH
   Zhao, L
   Liu, Y
   Luo, Y
   Long, YJ
   Yang, S
   Luo, XQ
AF Yang, Qiong
   Xiang, Yangzhou
   Li, Suhang
   Zhao, Ling
   Liu, Ying
   Luo, Yang
   Long, Yongjun
   Yang, Shuang
   Luo, Xuqiang
TI Modeling the Impacts of Climate Change on Potential Distribution of
   <i>Betula luminifera</i> H. Winkler in China Using MaxEnt
SO FORESTS
LA English
DT Article
DE Betula luminifera; species distribution modeling; bioclimatic variables;
   habitat suitability; climate change adaptation
ID SPECIES DISTRIBUTIONS
AB Betula luminifera H. Winkler, a fast-growing broad-leaved tree species native to China's subtropical regions, possesses significant ecological and economic value. The species' adaptability and ornamental characteristics make it a crucial component of forest ecosystems. However, the impacts of global climate change on its geographical distribution are not well understood, necessitating research to predict its potential distribution shifts under future climate scenarios. Our aims were to forecast the impact of climate change on the potential suitable distribution of B. luminifera across China using the MaxEnt model, which is recognized for its high predictive accuracy and low sample data requirement. Geographical coordinate data of B. luminifera distribution points were collected from various databases and verified for redundancy. Nineteen bioclimatic variables were selected and screened for correlation to avoid overfitting in the model. The MaxEnt model was optimized using the ENMeval package, and the model accuracy was evaluated using the Akaike Information Criterion Correction (delta.AICc), Training Omission Rate (OR10), and Area Under the Curve (AUC). The potential distribution of B. luminifera was predicted under current and future climate scenarios based on the Shared Socio-economic Pathways (SSPs). The optimized MaxEnt model demonstrated high predictive accuracy with an AUC value of 0.9. The dominant environmental variables influencing the distribution of B. luminifera were annual precipitation, minimum temperature of the coldest month, and standard deviation of temperature seasonality. The potential suitable habitat area and its geographical location were predicted to change significantly under different future climate scenarios, with complex dynamics of habitat expansion and contraction. The distribution centroid of B. luminifera was also predicted to migrate, indicating a response to changing climatic conditions. Our findings underscore the importance of model optimization in enhancing predictive accuracy and provide valuable insights for the development of conservation strategies and forest management plans to address the challenges posed by climate change.
C1 [Yang, Qiong; Xiang, Yangzhou; Li, Suhang; Luo, Yang; Long, Yongjun; Yang, Shuang; Luo, Xuqiang] Guizhou Educ Univ, Sch Geog & Resources, Guizhou Prov Key Lab Geog State Monitoring Watersh, Guiyang 550018, Peoples R China.
   [Zhao, Ling] State Power Investment Corp Power Stn Operat Techn, Beijing 100032, Peoples R China.
   [Liu, Ying] Guizhou Educ Univ, Sch Biol Sci, Guiyang 550018, Peoples R China.
C3 Guizhou Education University; Guizhou Education University
RP Long, YJ; Yang, S; Luo, XQ (corresponding author), Guizhou Educ Univ, Sch Geog & Resources, Guizhou Prov Key Lab Geog State Monitoring Watersh, Guiyang 550018, Peoples R China.
EM longyongjun@gznc.edu.cn; yangshuang324@gznc.edu.cn;
   xuqiangluo@gznc.edu.cn
FU Fundamental Research Funds for the Guizhou Provincial Science and
   Technology Projects; Guizhou Province Ordinary Colleges and Universities
   Youth Science and Technology Talent Growth Project [QJHKYZ [2022]304,
   QJHKYZ [2019]212]; Guizhou Province 100-level Talent Project
   [[2020]6010]; Guizhou Education University Scientific Research Fund
   Project [2024YB002, 2024BSKQ003];  [QKHJC-ZK [2022] YB335]
FX This research was funded by the Fundamental Research Funds for the
   Guizhou Provincial Science and Technology Projects (QKHJC-ZK [2022]
   YB335), Guizhou Province Ordinary Colleges and Universities Youth
   Science and Technology Talent Growth Project (QJHKYZ [2022]304; QJHKYZ
   [2019]212), Guizhou Province 100-level Talent Project ([2020]6010), and
   Guizhou Education University Scientific Research Fund Project
   (2024YB002; 2024BSKQ003).
CR Anderson JT, 2020, ECOL LETT, V23, P181, DOI 10.1111/ele.13427
   Bai JY, 2024, FORESTS, V15, DOI 10.3390/f15060988
   Booth TH, 2014, DIVERS DISTRIB, V20, P1, DOI 10.1111/ddi.12144
   Butt N, 2021, CONSERV BIOL, V35, P775, DOI 10.1111/cobi.13643
   Chen BR, 2022, ECOL INDIC, V143, DOI 10.1016/j.ecolind.2022.109311
   [陈程浩 Chen Chenghao], 2023, [生态学报, Acta Ecologica Sinica], V43, P10345
   Chen L., 2008, For. Surv. Des, V2, P153
   [陈思伶 Chen Siling], 2016, [西南大学学报. 自然科学版, Journal of Southwest University. Natural Science Edition], V38, P70
   Cheng LL, 2021, IND CROP PROD, V172, DOI 10.1016/j.indcrop.2021.113988
   da Silva NR, 2024, PLANTS-BASEL, V13, DOI 10.3390/plants13040535
   Diffenbaugh NS, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2207183120
   Duan XG, 2022, FORESTS, V13, DOI 10.3390/f13030402
   Velazco SJE, 2020, BIOL CONSERV, V252, DOI 10.1016/j.biocon.2020.108822
   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
   Feng JJ, 2024, FORESTS, V15, DOI 10.3390/f15050830
   Feng L, 2022, FORESTS, V13, DOI 10.3390/f13010129
   Feng X, 2019, NAT ECOL EVOL, V3, P1382, DOI 10.1038/s41559-019-0972-5
   Gao XX, 2022, ECOL EVOL, V12, DOI 10.1002/ece3.9165
   Guo Yan-Long, 2014, Chinese Journal of Plant Ecology, V38, P249, DOI 10.3724/SP.J.1258.2014.00022
   Harrison S, 2024, P NATL ACAD SCI USA, V121, DOI 10.1073/pnas.2310074121
   He HaiYang He HaiYang, 2013, Journal of Southwest Forestry University, V33, P29
   [何辉 He Hui], 2016, [林业科学, Scientia Silvae Sinicae], V52, P38
   He YL, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110790
   Hoegh-Guldberg O, 2019, SCIENCE, V365, P1263, DOI 10.1126/science.aaw6974
   Hu XG, 2022, FRONT PLANT SCI, V13, DOI 10.3389/fpls.2022.997818
   Huang XT, 2020, PLANTS-BASEL, V9, DOI 10.3390/plants9081015
   Kong Wei-yao, 2019, Yingyong Shengtai Xuebao, V30, P2116, DOI 10.13287/j.1001-9332.201906.029
   Lan L., 2023, For. Inventory Plan, V48, P153
   Li LF, 2023, FORESTS, V14, DOI 10.3390/f14010149
   Li M, 2024, PLANTS-BASEL, V13, DOI 10.3390/plants13050645
   Li S., 2023, Hubei Agric. Sci, V62, P83
   Li YC, 2020, FORESTS, V11, DOI 10.3390/f11030302
   Liu B, 2024, FORESTS, V15, DOI 10.3390/f15071209
   Liu D, 2022, J FORESTRY RES, V33, P1739, DOI 10.1007/s11676-022-01459-4
   Liu YP, 2014, ENVIRON MONIT ASSESS, V186, P135, DOI 10.1007/s10661-013-3361-6
   Ma CS, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-25505-7
   Melo-Merino SM, 2020, ECOL MODEL, V415, DOI 10.1016/j.ecolmodel.2019.108837
   Mori AS, 2021, NAT CLIM CHANGE, V11, P543, DOI 10.1038/s41558-021-01062-1
   Pan Bing-lin, 2020, Journal of Beihua University, V21, P398, DOI 10.11713/j.issn.1009-4822.2020.03.024
   Pan Y, 2017, TREES-STRUCT FUNCT, V31, P1635, DOI 10.1007/s00468-017-1575-x
   Pearson RG, 2007, J BIOGEOGR, V34, P102, DOI 10.1111/j.1365-2699.2006.01594.x
   Phillips SJ, 2006, ECOL MODEL, V190, P231, DOI 10.1016/j.ecolmodel.2005.03.026
   Randin CF, 2020, REMOTE SENS ENVIRON, V239, DOI 10.1016/j.rse.2019.111626
   Rathore MK, 2023, BIODIVERS CONSERV, V32, P3053, DOI 10.1007/s10531-023-02648-1
   Shen YF, 2022, J ENVIRON MANAGE, V322, DOI 10.1016/j.jenvman.2022.116024
   Shi FN, 2023, SCI TOTAL ENVIRON, V869, DOI 10.1016/j.scitotenv.2023.161681
   Shi JY, 2024, J ENVIRON MANAGE, V357, DOI 10.1016/j.jenvman.2024.120841
   Shi XD, 2023, ECOL INDIC, V148, DOI 10.1016/j.ecolind.2023.110093
   Shivanna KR, 2022, P INDIAN NATL SCI AC, V88, P160, DOI 10.1007/s43538-022-00073-6
   Sun RX, 2019, FORESTS, V10, DOI 10.3390/f10100858
   [谭洁 Tan Jie], 2022, [高原气象, Plateau Meteorology], V41, P1335
   [滕秋梅 Teng Qiumei], 2019, [水土保持学报, Journal of Soil and Water Conservation], V33, P177
   Vacek Z, 2023, J ENVIRON MANAGE, V332, DOI 10.1016/j.jenvman.2023.117353
   Varol T, 2021, FOREST ECOL MANAG, V491, DOI 10.1016/j.foreco.2021.119199
   Vitasse Y, 2021, BIOL REV, V96, P1816, DOI 10.1111/brv.12727
   Wang Ya-qin, 2021, Journal of Northeast Forestry University, V49, P19, DOI 10.13759/j.cnki.dlxb.2021.09.004
   Warren DL, 2021, ECOGRAPHY, V44, P504, DOI 10.1111/ecog.05485
   Warren DL, 2011, ECOL APPL, V21, P335, DOI 10.1890/10-1171.1
   Wiens JJ, 2024, GLOBAL CHANGE BIOL, V30, DOI 10.1111/gcb.17125
   [谢一青 Xie Yiqing], 2009, [林业科学, Scientia Silvae Sinicae], V45, P60
   Xie YiQing Xie YiQing, 2008, Scientia Silvae Sinicae, V44, P50
   Xing WL, 2024, FRONT MICROBIOL, V15, DOI 10.3389/fmicb.2024.1348054
   Xing WL, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.169009
   Xu CH, 2023, FORESTS, V14, DOI 10.3390/f14081579
   Xu YF, 2023, ECOL PROCESS, V12, DOI 10.1186/s13717-022-00414-9
   Yang JT, 2024, FORESTS, V15, DOI 10.3390/f15081280
   Yang Teng, 2020, Plant Science Journal, V38, P627, DOI 10.11913/PSJ.2095-0837.2020.50627
   Yang Z., 2012, Chin. J. Exp. Tradit. Med. Formulae, V18, P56
   Yuan X, 2023, SCIENCE, V380, P187, DOI 10.1126/science.abn6301
   Zhang HY, 2024, FORESTS, V15, DOI 10.3390/f15030491
   Zhang JJ, 2021, ECOL INDIC, V123, DOI 10.1016/j.ecolind.2021.107337
   Zhang Q, 2023, FORESTS, V14, DOI 10.3390/f14020394
   Zhao GH, 2021, ECOL INDIC, V132, DOI 10.1016/j.ecolind.2021.108256
   Zhao Y, 2021, ECOL INFORM, V64, DOI 10.1016/j.ecoinf.2021.101393
   Zhou YC, 2021, FORESTS, V12, DOI 10.3390/f12060752
NR 76
TC 0
Z9 0
U1 23
U2 23
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
J9 FORESTS
JI Forests
PD SEP
PY 2024
VL 15
IS 9
AR 1624
DI 10.3390/f15091624
PG 21
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA H8W8K
UT WOS:001326194200001
OA gold
DA 2025-01-10
ER

PT J
AU Nowak, AC
   Cramer, L
   Schuetz, T
   Poulos, A
   Chang, YL
   Thornton, P
AF Nowak, Andreea C. C.
   Cramer, Laura
   Schuetz, Tonya
   Poulos, Allison
   Chang, Yuling
   Thornton, Philip
TI What does CGIAR do to address climate change? Perspectives from a decade
   of science on climate change adaptation and mitigation
SO OUTLOOK ON AGRICULTURE
LA English
DT Article
DE Agriculture; climate change; research; outcomes; policy; investment;
   partnerships
ID MAKERS; POLICY
AB CGIAR consists of a network of international publicly funded agricultural research for development institutes. Over five decades it has worked to increase food abundance, reduce hunger and poverty rates, and lower the geographical footprint of agriculture in lower- and middle-income countries. CGIAR's first formalised research program on climate change was set up in 2009. Here we report on an analysis of 300 outcomes generated over the lifetime of this program, which ran until 2021. Outcomes were characterised in relation to the climate objective, geography, thematic scope, and contribution to global goals. More than half of the outcomes analysed were related to policies for agriculture development under climate change. Twenty-six percent of outcomes related to climate, information and financial services, and 22 percent were related to organisational programming. Most outcomes analysed were at an early stage of maturity, focusing on design and planning stages of policies, strategies, and investments. Fewer than five percent of outcomes had evidence of impact at scale. Outcomes were facilitated by a wide network of partners and contributed to more than ten Sustainable Development Goals. The results of the analysis show the value of outcome-oriented science in being able to harness diversity, balance strategy with opportunism, plan flexibly, work across multiple vulnerability contexts, and allocate resources towards outcomes. These elements have played a significant role in fostering change across contexts, in adjusting research to emerging needs and context changes, in creating conditions for spillovers, and in ensuring global relevance. To transform the food system, the research for development agenda needs to be bolder. It will require more outcomes of various types, achieved through diverse partnerships, spanning a diversity of geographies, vulnerable contexts, and priorities. Significant and intentional investments in strengthening monitoring, evaluation, reporting and learning capacity will be required to further realize the potential for outcome-oriented research.
C1 [Nowak, Andreea C. C.; Poulos, Allison] Biovers Int, Climate Act, Rome, Italy.
   [Cramer, Laura] Int Livestock Res Inst ILRI, Nairobi, Kenya.
   [Schuetz, Tonya] Int Ctr Trop Agr CIAT, Nairobi, Kenya.
   [Chang, Yuling; Thornton, Philip] Netherlands Food Partnership, Clim Eat, Utrecht, Netherlands.
C3 Alliance; Bioversity International; CGIAR; International Livestock
   Research Institute (ILRI); Alliance; International Center for Tropical
   Agriculture - CIAT
RP Nowak, AC (corresponding author), Biovers Int, Climate Act, Rome, Italy.
EM a.nowak@cgiar.org
RI Cramer, Laura/R-6499-2019
OI Nowak, Andreea/0000-0002-8049-5757; Cramer, Laura/0000-0003-1559-3497
FU CIAT
FX The author(s) disclosed receipt of the following financial support for
   the research, authorship, and/or publication of this article: Funding
   for the publication of this article was made available through the
   Performance, Innovation and Strategic Analysis for Impact Program of the
   Alliance of Bioversity International and CIAT
CR Alston J. M., 2020, PAYOFF INVESTING CGI
   [Anonymous], 2020, A report by the High Level of Expert on Food Security and Nutrition of the Committee on World Food Security
   [Anonymous], 2015, Ten Principles for Effective AR4D Programs
   [Anonymous], 2021, Global Landscape od Climate Finance
   Ball SJ, 2010, J EDUC POLICY, V25, P151, DOI 10.1080/02680930903486125
   CCAFS, 2016, FULL PROP 2017 2022
   CGIAR, 2021, CGIAR RES DASHB
   Chen C., 2015, Country Index Technical Report
   Clarkson G, 2022, CLIM SERV, V26, DOI 10.1016/j.cliser.2022.100298
   Cvitanovic C, 2015, OCEAN COAST MANAGE, V112, P25, DOI 10.1016/j.ocecoaman.2015.05.002
   Dinesh D., 2018, SUSTAINABILITY-BASEL, V10, P8
   Dunn G, 2017, ENVIRON SCI POLICY, V76, P146, DOI 10.1016/j.envsci.2017.07.005
   GCA, 2019, press release
   GLOPAN, 2020, FUT FOOD SYST PEOPL
   Hall A., 2019, PUBLIC AGR RES ERA T
   Khoury CK, 2019, COMMUN BIOL, V2, DOI 10.1038/s42003-019-0516-1
   Kristjanson P, 2014, NAT CLIM CHANGE, V4, P5, DOI 10.1038/nclimate2080
   Meadu V., TRANSFORMING FOOD SY, P1
   Miola A, 2014, CONCEPTS METRICS CLI, DOI [10.2788/44142, DOI 10.2788/44142]
   Niles M., 2021, MEASURING LIVELIHOOD
   Norstrom AV, 2020, NAT SUSTAIN, V3, P182, DOI 10.1038/s41893-019-0448-2
   Nowak A., TRANSFORMING FOOD SY, P23
   Nowak A., 2021, DECADE SCI CLIMATE C
   Oliver K, 2019, PALGR COMMUN, V5, DOI 10.1057/s41599-019-0232-y
   Pardey PG, 2016, FOOD POLICY, V65, P1, DOI 10.1016/j.foodpol.2016.09.009
   Pharo P., 2019, GROWING BETTER 10 CR
   Rockefeller Foundation, 2021, True Cost of Food. Measuring What Matters to Transform the U.S. Food System
   Rose DC, 2020, ENVIRON SCI POLICY, V113, P47, DOI 10.1016/j.envsci.2017.07.013
   Rünzel M, 2021, OUTLOOK AGR, V50, P130, DOI 10.1177/00307270211024271
   Steenwerth KL., 2014, AGR FOOD SECURITY, V3, P1, DOI [10.1186/2048-7010-3-11, DOI 10.1186/2048-7010-3-11]
   Steiner A., 2020, Actions to Transform Food Systems under Climate Change
   Szilagyi L., 2020, LESSONS EVALUATION C
   Thornton P. K., 2018, Climate Smart Agriculture: Building Resilience to Climate Change, Natural Resource Management and Policy, DOI [10.1007/978-3-319-61194-5, DOI 10.1007/978-3-319-61194-5, 10.1007/978-3-319-61194-517, DOI 10.1007/978-3-319-61194-517]
   Thornton PK, 2018, GLOBAL ENVIRON CHANG, V52, P37, DOI 10.1016/j.gloenvcha.2018.06.003
   Vermeulen S, 2012, CURR OPIN ENV SUST, V4, P128, DOI 10.1016/j.cosust.2011.12.004
   Webb P, 2020, NAT FOOD, V1, P584, DOI 10.1038/s43016-020-00161-0
   Wilson-Grau R., 2017, OUTCOME HARVESTING
   Zougmoré RB, 2019, INT J AGR SUSTAIN, V17, P367, DOI 10.1080/14735903.2019.1670934
NR 38
TC 2
Z9 2
U1 1
U2 2
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0030-7270
EI 2043-6866
J9 OUTLOOK AGR
JI Outlook Agric.
PD DEC
PY 2022
VL 51
IS 4
BP 423
EP 434
DI 10.1177/00307270221141455
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA 6V0LG
UT WOS:000894749100006
DA 2025-01-10
ER

PT J
AU Heming, NM
   Schroth, G
   Talora, DC
   Faria, D
AF Heming, Neander Marcel
   Schroth, Goetz
   Talora, Daniela C.
   Faria, Deborah
TI <i>Cabruca</i> agroforestry systems reduce vulnerability of cacao
   plantations to climate change in southern Bahia
SO AGRONOMY FOR SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Shaded plantations; Climate-smart agriculture; Climate change
   adaptation; Ecological niche model; Temperature stress; Theobroma cacao
ID SPECIES DISTRIBUTIONS; MODEL COMPLEXITY; SAMPLING BIAS; COFFEE; COCOA;
   MICROCLIMATE; MANAGEMENT; MAXENT; CONSERVATION; AGRICULTURE
AB In southern Bahia, Brazil's traditional cacao region, cacao is mostly grown under the shade of thinned Atlantic Forest (known as cabruca). These agroforestry systems are gradually being replaced by unshaded cacao monocultures that might be more vulnerable to changes in climate; however, the impacts of climate change have not been evaluated yet. We assessed the impact of climate change on the climatic suitability of cacao plantations in southern Bahia and evaluated to what extent the cabrucas reduce the vulnerability of cacao as compared to unshaded plantations. We measured the maximum temperature in a gradient of canopy cover during the warmest month of the year and projected ecological niche models (MaxEnt) on climate projections for 2050 simulating the microclimate of three production systems: cabrucas, intermediate shading, and unshaded plantations. We found that canopy cover drastically reduces daily maximum temperature, so that understory temperature in cabrucas can be up to 6.0 degrees C lower than in unshaded plantations. We show for the first time that all projected environmental changes negatively affect cacao in southern Bahia, diminishing its climatic suitability and reducing overall suitable areas across the region. More importantly, this study is the first one to show that cabrucas can reduce the negative impacts of climate change for cacao, especially where temperature extremes approach or exceed crop tolerance limits. We conclude that maximizing short-term profits by implementing unshaded monocultures will likely lead to production losses in the long term. Cabrucas have a central role in reducing the vulnerability of cacao to climate change and since these traditional agroforestry systems cannot be quickly restored, their conservation should be an important goal of agricultural policies in the region.
C1 [Heming, Neander Marcel; Talora, Daniela C.; Faria, Deborah] Univ Estadual Santa Cruz, Programa Posgrad Ecol & Conservacao Biodiversidad, Appl Conservat Ecol Lab, Rodovia Ilheus Itabuna,Km16, BR-45662000 Ilheus, BA, Brazil.
   [Schroth, Goetz] CP 513, BR-68109000 Santarem, Brazil.
C3 Universidade Estadual de Santa Cruz
RP Heming, NM (corresponding author), Univ Estadual Santa Cruz, Programa Posgrad Ecol & Conservacao Biodiversidad, Appl Conservat Ecol Lab, Rodovia Ilheus Itabuna,Km16, BR-45662000 Ilheus, BA, Brazil.
EM neanderh@yahoo.com.br
RI faria, deborah/ABC-2757-2021; Heming, Neander Marcel/J-7338-2013
OI Heming, Neander Marcel/0000-0003-2461-5045; Talora,
   Daniela/0000-0001-9647-120X
FU Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)
   [88882.314922/2019-01]
FX Neander M. Heming received a post-doc fellowship (#88882.314922/2019-01)
   from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior
   (CAPES).
CR Abdulai I, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195777
   Abdulai I, 2018, GLOBAL CHANGE BIOL, V24, P273, DOI 10.1111/gcb.13885
   Agele S., 2016, Journal of Horticultural Sciences, V11, P47
   Anderson RP, 2012, ANN NY ACAD SCI, V1260, P66, DOI 10.1111/j.1749-6632.2011.06440.x
   Anderson RP, 2011, ECOL MODEL, V222, P2796, DOI 10.1016/j.ecolmodel.2011.04.011
   Anderson RP, 2010, J BIOGEOGR, V37, P1378, DOI 10.1111/j.1365-2699.2010.02290.x
   [Anonymous], 2017, SIST IBGE REC AUT SI
   [Anonymous], 2013, CLIMATE CHANGE 2013
   Araujo M., 1998, RESERVA BIOSF MATA A, V8, P1
   Asare R, 2017, EXP AGR, V53, P416, DOI 10.1017/S0014479716000466
   Barve N, 2011, ECOL MODEL, V222, P1810, DOI 10.1016/j.ecolmodel.2011.02.011
   Beer J, 1997, AGROFOREST SYST, V38, P139, DOI 10.1023/A:1005956528316
   Binternagel NB, 2010, ENVIRON SCI ENG, P351, DOI 10.1007/978-3-642-00493-3_16
   Blaser WJ, 2018, NAT SUSTAIN, V1, P234, DOI 10.1038/s41893-018-0062-8
   Caetano JM, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0191273
   Cassano CR, 2012, BIOTROPICA, V44, P818, DOI 10.1111/j.1744-7429.2012.00870.x
   Crucifix Michel, 2023, CRAN
   De Angelis CF, 2004, INT J CLIMATOL, V24, P385, DOI 10.1002/joc.998
   de Sousa K, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-45491-7
   Donald PF, 2004, CONSERV BIOL, V18, P17, DOI 10.1111/j.1523-1739.2004.01803.x
   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, 2010, METHODS ECOL EVOL, V1, P330, DOI 10.1111/j.2041-210X.2010.00036.x
   FAO, 2020, CROP EC REQ DAT ECOC
   FAOSTAT, 2020, Demographic Yearbook-2020
   Faria D, 2007, BIODIVERS CONSERV, V16, P2335, DOI 10.1007/s10531-007-9189-z
   Gateau-Rey L, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0200454
   GBIF, 2018, GBIF OCC DOWNL
   GOMES ARS, 1987, NEW PHYTOL, V107, P591, DOI 10.1111/j.1469-8137.1987.tb02929.x
   Gomes LC, 2020, AGR ECOSYST ENVIRON, V294, DOI 10.1016/j.agee.2020.106858
   Gouva JBS, 1976, DIAGNSTICO SCIO ECON, P17
   Guo D, 2020, Evapotranspiration: modelling actual, potential and reference crop evapotranspiration
   HARGREAVES GH, 1982, J IRR DRAIN DIV-ASCE, V108, P225
   Hawkins D., 1980, Identification of Outliers, DOI DOI 10.1007/978-94-015-3994-4
   Heming N. M., 2019, ENMwizard: Advanced techniques for Ecological Niche Modeling made easy
   Heming NM, 2021, HARV DATAVERSE, DOI [10.7910/DVN/EB1Q2P, DOI 10.7910/DVN/EB1Q2P]
   Heming NM, 2021, HARV DATAVERSE, DOI [10.7910/DVN/RBAXFW, DOI 10.7910/DVN/RBAXFW]
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hijmans RJ, 2012, ECOLOGY, V93, P679, DOI 10.1890/11-0826.1
   Hutchins A, 2015, ASSESSMENT CLIMATE C
   IBGE, 2019, BIOM SIST COST MAR B, V45
   Igawa TK, 2022, PLOS ONE, V17, DOI 10.1371/journal.pone.0262729
   Jacobi J, 2015, RENEW AGR FOOD SYST, V30, P170, DOI 10.1017/S174217051300029X
   Köhler M, 2014, AGROFOREST SYST, V88, P63, DOI 10.1007/s10457-013-9656-3
   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
   Lambers H, 2019, PLANT PHYSIOLOGICAL ECOLOGY, 3RD EDITION, P1, DOI 10.1007/978-3-030-29639-1
   Landau E.C., 2008, The atlantic coastal forest of northeastern brazil, P221
   Liebig T, 2019, J PLANT INTERACT, V14, P407, DOI 10.1080/17429145.2019.1643934
   Lin BB, 2014, AGROECOLOGY ECOSYSTE, P21237
   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
   Lin BB, 2010, AGR FOREST METEOROL, V150, P510, DOI 10.1016/j.agrformet.2009.11.010
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Martini AMZ, 2007, BIODIVERS CONSERV, V16, P3111, DOI 10.1007/s10531-007-9166-6
   Mbuli CS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031523
   Meinshausen M, 2011, CLIMATIC CHANGE, V109, P213, DOI 10.1007/s10584-011-0156-z
   MORI SA, 1979, BRITTONIA, V31, P177, DOI 10.2307/2806174
   MORI SA, 1983, BOT REV, V49, P155, DOI 10.1007/BF02861011
   Muscarella R, 2014, METHODS ECOL EVOL, V5, P1198, DOI 10.1111/2041-210X.12261
   Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110
   Niether W, 2018, ANN FOREST SCI, V75, DOI 10.1007/s13595-018-0723-9
   Niether W, 2017, CATENA, V158, P340, DOI 10.1016/j.catena.2017.07.011
   Pachauri RK, 2014, 2014 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS)
   Padovan MP, 2015, AGROFOREST SYST, V89, P857, DOI 10.1007/s10457-015-9820-z
   Partelli FL, 2014, PESQUI AGROPECU BRAS, V49, P872, DOI 10.1590/S0100-204X2014001100006
   Peterson A.T., 2011, Ecological Niches and Geographic Distributions (MPB- 49), V56
   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
   Piasentin Flora Bonazzi, 2014, Bol. Mus. Para. Emílio Goeldi. Ciênc. hum., V9, P61
   Pinheiro MP, 2013, CIENC FLOREST, V23, P107, DOI 10.5902/198050988445
   Pontes GM, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-68884-5
   R Core Team, 2020, R: A Language and Environment for Statistical Computing
   Radosavljevic A, 2014, J BIOGEOGR, V41, P629, DOI 10.1111/jbi.12227
   Rajaud A, 2017, CLIMATIC CHANGE, V144, P703, DOI 10.1007/s10584-017-2052-7
   Rice RA, 2000, AMBIO, V29, P167, DOI 10.1579/0044-7447-29.3.167
   Rosenzweig C, 2014, P NATL ACAD SCI USA, V111, P3268, DOI 10.1073/pnas.1222463110
   Ruf Francois, 2004, P107
   Sambuichi RHR, 2012, BIODIVERS CONSERV, V21, P1055, DOI 10.1007/s10531-012-0240-3
   Schroth G, 1998, AGROFOREST SYST, V43, P5, DOI 10.1023/A:1026443018920
   SCHROTH G, 1995, AGROFOREST SYST, V30, P125, DOI 10.1007/BF00708917
   Schroth G, 2016, SCI TOTAL ENVIRON, V556, P231, DOI 10.1016/j.scitotenv.2016.03.024
   Schroth G, 2011, BIODIVERS CONSERV, V20, P1635, DOI 10.1007/s10531-011-0052-x
   Schwendenmann L, 2010, GLOBAL CHANGE BIOL, V16, P1515, DOI 10.1111/j.1365-2486.2009.02034.x
   Sillero N, 2021, ECOL MODEL, V456, DOI 10.1016/j.ecolmodel.2021.109671
   Simard M, 2011, J GEOPHYS RES-BIOGEO, V116, DOI 10.1029/2011JG001708
   Simões Yagho de Souza, 2018, Rev. Ambient. Água, V13, pe2171, DOI 10.4136/ambi-agua.2171
   Souza HN, 2010, AGROFOREST SYST, V80, P1, DOI 10.1007/s10457-010-9340-9
   Thomas W.W., 2008, ATLANTIC COASTAL FOR, P21
   Tichy L, 2016, J VEG SCI, V27, P427, DOI 10.1111/jvs.12350
   Torres RR, 2014, THEOR APPL CLIMATOL, V117, P579, DOI 10.1007/s00704-013-1030-x
   Tscharntke T, 2011, J APPL ECOL, V48, P619, DOI 10.1111/j.1365-2664.2010.01939.x
   VALLE R R, 1987, Revista Theobroma, V17, P175
   Veloz SD, 2009, J BIOGEOGR, V36, P2290, DOI 10.1111/j.1365-2699.2009.02174.x
   Warren DL, 2014, DIVERS DISTRIB, V20, P334, DOI 10.1111/ddi.12160
   Warren DL, 2011, ECOL APPL, V21, P335, DOI 10.1890/10-1171.1
   Willey R. W., 1975, Horticultural Abstracts, V45, P791
   Wood G.A.R., 2001, Cocoa, DOI [10.1002/9780470698983.ch2, DOI 10.1002/9780470698983]
NR 98
TC 14
Z9 15
U1 3
U2 19
PU SPRINGER FRANCE
PI PARIS
PA 22 RUE DE PALESTRO, PARIS, 75002, FRANCE
SN 1774-0746
EI 1773-0155
J9 AGRON SUSTAIN DEV
JI Agron. Sustain. Dev.
PD JUN
PY 2022
VL 42
IS 3
AR 48
DI 10.1007/s13593-022-00780-w
PG 16
WC Agronomy; Green & Sustainable Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture; Science & Technology - Other Topics
GA 1T5FA
UT WOS:000804753000002
OA Bronze
DA 2025-01-10
ER

PT J
AU Fanok, L
   Beltrán, BJ
   Burnham, M
   Wardropper, CB
AF Fanok, Lily
   Beltran, Bray J.
   Burnham, Morey
   Wardropper, Chloe B.
TI Use of water decision-support tools for drought management
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Decision-support tools; Drought management; Climate change; Human
   dimensions of water
ID CLIMATE-CHANGE ADAPTATION; CONSERVATION; CONNECTIVITY; USABILITY;
   SYSTEMS
AB Climate is changing in ways that may significantly affect the provision of hydrologic ecosystem services in arid or semi-arid regions. To answer this challenge, there has been an effort to increase the adaptive capacity of organizations that manage water and the land-uses water supports. Governmental and non-governmental organizations (NGOs) managing large landscapes in the United States Northern Rockies region have access to a variety of water decision-support tools, such as indicators of precipitation and snowpack, which could increase their adaptive capacity to manage hydrologic ecosystem services under changing conditions. Yet little is known about the use of decision-support tools in this region and how tools could be improved. With the aim of informing future tool development and addressing information-use gaps, we conducted semi-structured interviews with representatives of federal and state agencies and NGOs to 1) identify which tools are being used, 2) describe tool supported management actions across different types of organizations, and 3) determine "usability" criteria managers consider when adopting a climate tool. Through qualitative analysis, we found multiple types of tools being used, including processes and frameworks, data and models, and geospatial or web-based tools. We also identified several criteria that study participants used to assess whether or not to use a tool within their organization, including tool accuracy, robustness, extendibility, interpretability, capacity, and institutional fit. This study suggests that increased communication between tool developers and end-users, with a focus on tools' relevance and ability to support management actions, could improve tools and increase the adaptive capacity of users. This research also points to the need for multiple lines of future research including how to improve the fit between organizational goals and water tools.
C1 [Fanok, Lily; Wardropper, Chloe B.] Univ Idaho, Dept Nat Resources & Soc, 875 Perimeter Dr MS 1139, Moscow, ID 83844 USA.
   [Beltran, Bray J.] Heart Rockies Initiat, 120 Hickory St, Missoula, MT 59801 USA.
   [Burnham, Morey] Idaho State Univ, 921 South 8th Ave, Pocatello, ID 83209 USA.
C3 University of Idaho; Idaho State University
RP Fanok, L; Wardropper, CB (corresponding author), Univ Idaho, Dept Nat Resources & Soc, 875 Perimeter Dr MS 1139, Moscow, ID 83844 USA.
EM fanoklily@gmail.com; cwardropper@uidaho.edu
FU McIntire Stennis award [1015330]; Rangeland Center, University of Idaho;
   College of Graduate Studies, University of Idaho; College of Natural
   Resources, University of Idaho
FX This research was supported by McIntire Stennis award #1015330; a travel
   award from the Rangeland Center, University of Idaho; and travel awards
   from the College of Natural Resources and College of Graduate Studies,
   University of Idaho. These funders had no role in study design, data
   collection, or the manuscript. We would also like to acknowledge the
   High Divide Collaborative for their partnership.
CR Abatatzoglou JT, 2017, B AM METEOROL SOC, V98, P1815, DOI 10.1175/BAMS-D-16-0193.1
   Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa
   [Anonymous], 2014, FDN DESIGNING USER C
   Bagstad KJ, 2013, ECOSYST SERV, V5, pE27, DOI 10.1016/j.ecoser.2013.07.004
   Belote RT, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154223
   Beltran Bray, 2017, USGS
   Borowski I, 2008, ECOL SOC, V13
   Bremer S, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.482
   Brody SD, 2010, NAT HAZARDS, V52, P167, DOI 10.1007/s11069-009-9364-5
   Brown J. R., 2016, Rangelands, V38, P162
   Carroll C, 2012, CONSERV BIOL, V26, P78, DOI 10.1111/j.1523-1739.2011.01753.x
   Coppock DL, 2020, RANGELAND ECOL MANAG, V73, P879, DOI 10.1016/j.rama.2020.08.003
   Crausbay SD, 2017, B AM METEOROL SOC, V98, P2543, DOI 10.1175/BAMS-D-16-0292.1
   Epstein G, 2015, CURR OPIN ENV SUST, V14, P34, DOI 10.1016/j.cosust.2015.03.005
   Ficklin DL, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/044009
   Glaas E, 2010, LOCAL ENVIRON, V15, P525, DOI 10.1080/13549839.2010.487525
   Graves RA, 2019, BIOL CONSERV, V232, P83, DOI 10.1016/j.biocon.2019.01.024
   Guerrero AM, 2021, CONSERV BIOL, V35, P1437, DOI 10.1111/cobi.13713
   Guston DH, 2001, SCI TECHNOL HUM VAL, V26, P399, DOI 10.1177/016224390102600401
   Haigh T, 2021, RANGELAND ECOL MANAG, V74, P50, DOI 10.1016/j.rama.2020.09.007
   Hannaford J, 2019, WEATHER CLIM SOC, V11, P49, DOI 10.1175/WCAS-D-18-0042.1
   Hewitt RJ, 2017, ENVIRONMENTS, V4, DOI 10.3390/environments4040088
   High Divide Collaborative, HIGH DIV COLL OUR PH
   High Divide Collaborative, 2020, HIGH DIV COLL AB
   Keyantash J, 2002, B AM METEOROL SOC, V83, P1167, DOI 10.1175/1520-0477(2002)083<1191:TQODAE>2.3.CO;2
   Keyantash JA, 2004, WATER RESOUR RES, V40, DOI 10.1029/2003WR002610
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   Lopez A, 2017, WEATHER CLIM SOC, V9, P701, DOI 10.1175/WCAS-D-16-0072.1
   Machado EA, 2020, ECOL ECON, V175, DOI 10.1016/j.ecolecon.2020.106708
   Mbah M, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13094811
   McClure MM, 2008, EVOL APPL, V1, P300, DOI 10.1111/j.1752-4571.2008.00030.x
   McIntosh BS, 2011, ENVIRON MODELL SOFTW, V26, P1389, DOI 10.1016/j.envsoft.2011.09.009
   NOAA, 2021, NEW US CLIM NORM AR
   NOAA, 2021, WAT DEC SUPP TOOL EX
   Núñez J, 2014, J HYDROL, V517, P458, DOI 10.1016/j.jhydrol.2014.05.038
   Ostrom E, 1996, WORLD DEV, V24, P1073, DOI 10.1016/0305-750X(96)00023-X
   Palutikof JP, 2019, CLIMATIC CHANGE, V153, P459, DOI 10.1007/s10584-019-02445-2
   Prokopy L.S., 2013, Climate Vulnerability: Understanding and Addressing Threats to Essential Resources, V2, P129, DOI [DOI 10.1016/B978-0-12-384703-4.00224-0, 10.1016/B978-0-12384703-4.00224-0, DOI 10.1016/B978-0-12384703-4.00224-0]
   Redmond KT, 2002, B AM METEOROL SOC, V83, P1143, DOI 10.1175/1520-0477-83.8.1143
   Rose DC, 2016, AGR SYST, V149, P165, DOI 10.1016/j.agsy.2016.09.009
   Sandelowski M, 2000, RES NURS HEALTH, V23, P334, DOI 10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
   Scanlon BR, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/3/035013
   Schwartz MW, 2018, CONSERV LETT, V11, DOI 10.1111/conl.12385
   Shafer CL, 2015, GLOB ECOL CONSERV, V3, P256, DOI 10.1016/j.gecco.2014.12.003
   Singh C, 2018, CLIM DEV, V10, P389, DOI 10.1080/17565529.2017.1318744
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sunderland T, 2009, BIOTROPICA, V41, P549, DOI 10.1111/j.1744-7429.2009.00557.x
   Thomas DSK, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044004
   Thurow TL, 1999, J RANGE MANAGE, V52, P413, DOI 10.2307/4003766
   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]
   Venkatesh V, 2012, MIS QUART, V36, P157
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Vincent K, 2020, NAT CLIM CHANGE, V10, P877, DOI 10.1038/s41558-020-00910-w
   Vincent K, 2018, CLIM SERV, V12, P48, DOI 10.1016/j.cliser.2018.11.001
   Walling E, 2020, J ENVIRON MANAGE, V264, DOI 10.1016/j.jenvman.2020.110513
   Wardropper C., 2021, CURR OPIN ENV SUST
   Wardropper CB, 2019, CLIMATIC CHANGE, V152, P85, DOI 10.1007/s10584-018-2342-8
   Wardropper CB, 2018, ENVIRON MANAGE, V61, P563, DOI 10.1007/s00267-017-0990-5
   Whitlock C., 2017, MONT I ECOSYST, V269
   Whittaker D, 2021, INT J COMMONS, V15, P181, DOI 10.5334/ijc.1059
   Wilhite DA, 2007, WATER RESOUR MANAG, V21, P763, DOI 10.1007/s11269-006-9076-5
   Wong-Parodi G, 2021, RISK ANAL, V41, P1118, DOI 10.1111/risa.13261
   Yeh ET, 2016, AREA, V48, P34, DOI 10.1111/area.12189
NR 63
TC 3
Z9 3
U1 3
U2 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD APR
PY 2022
VL 607
AR 127531
DI 10.1016/j.jhydrol.2022.127531
EA FEB 2022
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 0Z1GG
UT WOS:000790827500008
DA 2025-01-10
ER

PT J
AU Kiarsi, M
   Amiresmaili, M
   Mahmoodi, MR
   Farahmandnia, H
   Nakhaee, N
   Zareiyan, A
   Aghababaeian, H
AF Kiarsi, Maryam
   Amiresmaili, Mohammadreza
   Mahmoodi, Mohammad R.
   Farahmandnia, Hojjat
   Nakhaee, Nouzar
   Zareiyan, Armin
   Aghababaeian, Hamidreza
TI Heat wave adaptation paradigm and adaptation strategies of community: A
   qualitative phenomenological study in Iran
SO JOURNAL OF EDUCATION AND HEALTH PROMOTION
LA English
DT Article
DE Adaptation; adaptive behaviors; heat waves; qualitative research
ID CLIMATE-CHANGE ADAPTATION; UNITED-STATES; RESILIENCE; MORTALITY; URBAN;
   RISK; TEMPERATURE; EXPOSURE; HOSPITALS; DISASTERS
AB BACKGROUND: Heat wave adaptation is a new concept related to experiencing heat. The present study aims at investigating a conceptual definition, that is, the mental framework of heat wave adaptation and its strategies. MATERIALS AND METHODS: A phenomenological study was performed to explain the mental concept. At the same time with the data collection process, data analysis was also performed using Colaizzi method. Semi-structured interview method and purposeful sampling with maximum variety were used. Interviews were conducted with 23 different subjects in the community. The accuracy of the data was guaranteed using Lincoln & Guba scientific accuracy criteria. RESULTS: The two main themes of the adaptation paradigm as well as its strategies were divided into the main categories of theoretical and operational concepts, as well as personal care measures and government measures. Under the category of individual measures, we obtained "clothing, nutrition, building, place of residence and lifestyle, " and under the category of governance actions, the "managerial, research, health, organizational " subcategories were obtained. CONCLUSION: According to the results of the conceptual-operational definition, heat wave adaptation is an active process and an effort to reduce the adverse effects of heat waves on individual and social life, and striking a balance that will not only result in individual awareness and actions that will lead to lifestyle changes, but also mostly requires integrated and comprehensive planning in the community. On the one hand, heat waves could not only be regarded as a threat or danger, but can also become an opportunity for the development of a community through identification and smart measures, and for adaptation, the community must take it as a risk. The community should have a plan in advance, apply the necessary rules and training, and use the new facilities and rules where necessary. This practical concept definition includes the main features of heat wave adaptation.
C1 [Kiarsi, Maryam; Amiresmaili, Mohammadreza; Farahmandnia, Hojjat; Nakhaee, Nouzar; Aghababaeian, Hamidreza] Dezful Univ Med Sci, Sch Nursing & Midwifery, Dept Med Emergencies, Dezful, Iran.
   [Kiarsi, Maryam; Amiresmaili, Mohammadreza; Farahmandnia, Hojjat; Aghababaeian, Hamidreza] Dezful Univ Med Sci, Ctr Climate Change & Hlth Res CCCHR, Dezful, Iran.
   [Kiarsi, Maryam; Amiresmaili, Mohammadreza] Kerman Univ Med Sci, Inst Futures Studies Hlth, Hlth Disasters & Emergencies Res Ctr, Kerman, Iran.
   [Amiresmaili, Mohammadreza; Mahmoodi, Mohammad R.] Kerman Univ Med Sci, Sch Management & Med Informat Sci, Dept Hlth Emergencies & Disasters, Kerman, Iran.
   [Mahmoodi, Mohammad R.] Kerman Univ Med Sci, Inst Neuropharmacol, Physiol Res Ctr, Kerman, Iran.
   [Mahmoodi, Mohammad R.] Kerman Univ Med Sci, Fac Publ Hlth, Dept Nutr, Kerman, Iran.
   [Nakhaee, Nouzar] Kerman Univ Med Sci, Inst Futures Studies Hlth, Hlth Serv Management Res Ctr, Kerman, Iran.
   [Zareiyan, Armin] AJA Univ Med Sci, Nursing Fac, Publ Hlth Dept, Hlth Emergencies & Disasters Dept, Tehran, Iran.
C3 Kerman University of Medical Sciences; Kerman University of Medical
   Sciences; Kerman University of Medical Sciences; Kerman University of
   Medical Sciences; Kerman University of Medical Sciences
RP Amiresmaili, M (corresponding author), Kerman Univ Med Sci, Inst Futures Studies Hlth, Hlth Disasters & Emergencies Res Ctr, Kerman, Iran.; Amiresmaili, M (corresponding author), Kerman Univ Med Sci, Sch Management & Med Informat Sci, Dept Hlth Emergencies & Disasters, Kerman, Iran.
EM Mohammadreza.amiresmaili@gmail.com
RI Zareiyan, Armin/N-6038-2018; Aghababaeian, Dr. Hamidreza/D-7325-2017;
   Malekpour, Mohammad-Reza/AFU-5793-2022; Nakhaee, Nouzar/AAZ-2677-2020;
   Mahmoodi, Mohammad Reza/ITT-0506-2023; Farahmandnia, Hojjat/S-4083-2018
OI Amiresmaili, Mohammadreza/0000-0001-6842-9389; Mahmoodi, Mohammad
   Reza/0000-0003-3476-2073
FU Kerman University of Medical Sciences
FX Kerman University of Medical Sciences.
CR Abadie LM, 2022, ENVIRON RES, V204, DOI 10.1016/j.envres.2021.111895
   Adam-Poupart A, 2014, ENVIRON RES, V134, P339, DOI 10.1016/j.envres.2014.07.018
   Adopted IP, 2014, CLIMATE CHANGE 2014
   Akompab DA, 2013, MITIG ADAPT STRAT GL, V18, P1001, DOI 10.1007/s11027-012-9404-4
   Ardalan A, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0161542
   Ashraf SA, 2018, PROCEDIA ENGINEER, V212, P768, DOI 10.1016/j.proeng.2018.01.099
   Åström DO, 2015, ENVIRON HEALTH-GLOB, V14, DOI 10.1186/s12940-015-0012-0
   Banwell N, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040793
   Budhathoki NK, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091578
   Chae Y, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18052380
   Cheng J, 2019, ENVIRON RES, V177, DOI 10.1016/j.envres.2019.108610
   Cheng J, 2018, ENVIRON INT, V115, P334, DOI 10.1016/j.envint.2018.03.041
   Cheng YT, 2019, ENVIRON RES, V170, P282, DOI 10.1016/j.envres.2018.12.059
   Dalip J, 2015, ASIA-PAC J PUBLIC HE, V27, pNP1837, DOI 10.1177/1010539512466428
   de Moraes SL, 2022, INT J HYG ENVIR HEAL, V239, DOI 10.1016/j.ijheh.2021.113861
   Dhalluin A, 2015, SUSTAIN CITIES SOC, V19, P292, DOI 10.1016/j.scs.2015.06.009
   Diniz FR, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11090933
   Djalali A, 2014, DISASTER MED PUBLIC, V8, P179, DOI 10.1017/dmp.2014.21
   Elo S, 2014, SAGE OPEN, V4, DOI 10.1177/2158244014522633
   Fallah-Aliabadi S, 2020, BMC HEALTH SERV RES, V20, DOI 10.1186/s12913-020-4915-2
   Folkerts MA, 2020, FRONT PHYSIOL, V11, DOI 10.3389/fphys.2020.00225
   Gao CS, 2018, INT J BIOMETEOROL, V62, P359, DOI 10.1007/s00484-017-1352-y
   Gifford RM, 2019, ENVIRON RES, V171, P24, DOI 10.1016/j.envres.2018.10.020
   Gubernot DM, 2015, AM J IND MED, V58, P203, DOI 10.1002/ajim.22381
   Gubernot DM, 2014, INT J BIOMETEOROL, V58, P1779, DOI 10.1007/s00484-013-0752-x
   Hamstead Z, 2020, BUILD CITIES, V1, P218, DOI 10.5334/bc.15
   Hatuka T, 2014, LANDSCAPE RES, V39, P287, DOI 10.1080/01426397.2012.720249
   Hatvani-Kovacs G, 2016, SUSTAIN CITIES SOC, V26, P278, DOI 10.1016/j.scs.2016.06.019
   Hota P, 2014, INT J ECOL ECON STAT, V33, P98
   Huang CR, 2013, ENVIRON HEALTH PERSP, V121, P415, DOI 10.1289/ehp.1206025
   Ioannou LG, 2021, INT J ENV RES PUB HE, V18, DOI 10.3390/ijerph18063011
   Jahangiri K., 2014, International Journal of Health System Disaster Management, P44
   Kanner J, 2021, J CLIM CHANGE HEALTH, V3, DOI 10.1016/j.joclim.2021.100060
   Keith Meerow., 2020, J EXTREME EVENTS, DOI DOI 10.1142/S2345737620500037
   Khan N, 2019, THEOR APPL CLIMATOL, V136, P899, DOI 10.1007/s00704-018-2520-7
   Lee H, 2020, URBAN FOR URBAN GREE, V48, DOI 10.1016/j.ufug.2019.126558
   Lee JY, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040822
   Liss A, 2019, ENVIRON MONIT ASSESS, V191, DOI 10.1007/s10661-019-7412-5
   Liu XN, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16010087
   López-Bueno JA, 2020, ENVIRON RES, V190, DOI 10.1016/j.envres.2020.109993
   Loughnan M, 2015, INT J BIOMETEOROL, V59, P1291, DOI 10.1007/s00484-014-0939-9
   Mangus CW, 2019, PEDIATR REV, V40, P97, DOI 10.1542/pir.2017-0322
   Marshall TM, 2020, INT J DISAST RISK RE, V47, DOI 10.1016/j.ijdrr.2020.101557
   Matzarakis A, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11020170
   Mazhin SA, 2020, J EDUC HEALTH PROMOT, V9, DOI 10.4103/jehp.jehp_4_20
   McCall T, 2019, CLIM DEV, V11, P735, DOI 10.1080/17565529.2018.1529551
   McGregor G.R., 2015, Heatwaves and health: guidance on warning-system development
   Meerow S, 2022, J AM PLANN ASSOC, V88, P319, DOI 10.1080/01944363.2021.1977682
   Mehiriz K, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15081581
   Middel A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab87d4
   Moradi SM, 2021, J EDUC HEALTH PROMOT, V10, DOI 10.4103/jehp.jehp_1670_20
   Nikbakht A., 2019, IRANIAN J CRITICAL C, V13, P38
   Nordgren J, 2016, ENVIRON SCI POLICY, V66, P344, DOI 10.1016/j.envsci.2016.05.006
   Onozuka D, 2015, MEDICINE, V94, DOI 10.1097/MD.0000000000002259
   Ostadtaghizadeh A, 2016, NAT HAZARDS, V83, P1843, DOI 10.1007/s11069-016-2377-y
   Park J, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16091561
   Paterson J, 2014, INT J ENV RES PUB HE, V11, P13097, DOI 10.3390/ijerph111213097
   Pershing AJ, 2018, OCEANOGRAPHY, V31, P152, DOI 10.5670/oceanog.2018.213
   Pisello AL, 2017, ENERG BUILDINGS, V154, P217, DOI 10.1016/j.enbuild.2017.08.024
   Porritt S, 2011, SUSTAIN CITIES SOC, V1, P81, DOI 10.1016/j.scs.2011.02.004
   Praveena K.R., 2021, MEDICO LEGAL UPDATE, V21, P914, DOI [DOI 10.37506/MLU.V21I2.2800, DOI 10.1016/J.APNU.2022.04.004]
   Price K, 2018, CAN J PUBLIC HEALTH, V109, P108, DOI 10.17269/s41997-018-0020-2
   Qu YJ, 2021, SCI TOTAL ENVIRON, V777, DOI 10.1016/j.scitotenv.2021.146134
   Rauf S, 2017, ENVIRON SCI POLLUT R, V24, P10630, DOI 10.1007/s11356-017-8756-4
   Rizvi SH, 2019, J ATMOS SOL-TERR PHY, V185, P50, DOI 10.1016/j.jastp.2019.02.001
   Salehi S, 2019, J ENVIRON HEALTH SCI, V17, P797, DOI 10.1007/s40201-019-00396-5
   Schwarz L, 2022, AM J PUBLIC HEALTH, V112, P98, DOI 10.2105/AJPH.2021.306557
   Shahrestanaki YA, 2019, J EDUC HEALTH PROMOT, V8, DOI 10.4103/jehp.jehp_24_19
   Sheffield PE, 2018, PUBLIC HEALTH, V161, P119, DOI 10.1016/j.puhe.2018.06.004
   Stone B, 2021, URBAN CLIM, V36, DOI 10.1016/j.uclim.2021.100787
   Taylor J, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9050190
   Taylor J, 2018, ENVIRON INT, V111, P287, DOI 10.1016/j.envint.2017.11.005
   Tewari M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaf431
   Thompson R, 2018, PUBLIC HEALTH, V161, P171, DOI 10.1016/j.puhe.2018.06.008
   Tong SL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037500
   Dang TN, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030432
   Valois P, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14070820
   van Steen Y, 2019, INT ARCH OCC ENV HEA, V92, P37, DOI 10.1007/s00420-018-1360-1
   van Valkengoed AM, 2019, NAT CLIM CHANGE, V9, P158, DOI 10.1038/s41558-018-0371-y
   Varghese BM, 2019, J EXPO SCI ENV EPID, V29, P821, DOI 10.1038/s41370-019-0138-1
   Viguié V, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6a24
   WHO, 2015, Operational framework for building climate resilient health systems
   Wondmagegn BY, 2021, SCI TOTAL ENVIRON, V781, DOI 10.1016/j.scitotenv.2021.146815
   Xu ZW, 2019, INT J EPIDEMIOL, V48, P1091, DOI 10.1093/ije/dyz048
   Xu ZW, 2016, ENVIRON INT, V89-90, P193, DOI 10.1016/j.envint.2016.02.007
   Yin Q, 2017, BMC PUBLIC HEALTH, V17, DOI 10.1186/s12889-017-4129-7
   Yuan F, 2022, J BUILD ENG, V45, DOI 10.1016/j.jobe.2021.103463
   Zaidi RZ, 2015, URBAN STUD, V52, P1218, DOI 10.1177/0042098013510957
   Zhang YT, 2020, NAT HAZARDS, V103, P731, DOI 10.1007/s11069-020-04008-6
   Zhang YQ, 2017, ENVIRON POLLUT, V225, P700, DOI 10.1016/j.envpol.2017.02.066
NR 90
TC 2
Z9 2
U1 3
U2 13
PU WOLTERS KLUWER MEDKNOW PUBLICATIONS
PI MUMBAI
PA WOLTERS KLUWER INDIA PVT LTD , A-202, 2ND FLR, QUBE, C T S  NO 1498A-2
   VILLAGE MAROL, ANDHERI EAST, MUMBAI, Maharashtra, INDIA
SN 2277-9531
EI 2319-6440
J9 J EDUC HEALTH PROMOT
JI J. Educ. Health Promot.
PD JAN-DEC
PY 2022
VL 11
IS 1
DI 10.4103/jehp.jehp_440_22
PG 17
WC Education, Scientific Disciplines; Public, Environmental & Occupational
   Health
WE Emerging Sources Citation Index (ESCI)
SC Education & Educational Research; Public, Environmental & Occupational
   Health
GA 7U3ZC
UT WOS:000912071700017
PM 36824085
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Ihli, HJ
   Chiputwa, B
   Winter, E
   Gassner, A
AF Ihli, Hanna Julia
   Chiputwa, Brian
   Winter, Etti
   Gassner, Anja
TI Risk and time preferences for participating in forest landscape
   restoration: The case of coffee farmers in Uganda
SO WORLD DEVELOPMENT
LA English
DT Article
DE Choice experiment; Risk and time preferences; Agroforestry; Forest
   landscape restoration; Uganda; Africa
ID CLIMATE-CHANGE ADAPTATION; CHOICE EXPERIMENT; TECHNOLOGY ADOPTION;
   PROSPECT-THEORY; ELICITING RISK; AGROFORESTRY SYSTEMS; FIELD
   EXPERIMENTS; SERVICES EVIDENCE; COTTON FARMERS; FOOD SECURITY
AB In recent years, Uganda has experienced widespread forest loss and degradation, mainly driven by agricultural expansion and rising demand for forest products. The adoption of agroforestry is regarded as one of the key strategies in forest landscape restoration in agriculture. While the benefits of agroforestry are widely acknowledged, adoption among smallholder farmers is sluggish. This study analyzes how individual risk and time preferences affect smallholder farmers' choice of attributes of companion trees within coffee agroforestry systems in the Mt. Elgon region in Uganda. Farmers' risk and time preferences are elicited using lottery-based experiments, whereas farmers' choices of preferred attributes for companion trees are determined using a discrete choice experiment. The data from the different experimental designs are combined to establish how risk and time preferences affect the decision to integrate companion trees into coffee farms. Farmers' choices of tree attributes are analyzed based on random utility models, and farmers' risk and time preferences are measured using cumulative prospect theory and quasi hyperbolic discounting. The results reveal that most farmers are both risk and loss averse with high discount rates (impatience), and they are willing to pay more for quality tree seedlings. Analyzing the behavioral parameters in combination with discrete choice data on the preferred choice of tree attributes reveals a close association between farmers' aversion to risk and loss and high discount rates with preferences for trees that grow fast, improve soil fertility, and provide fuelwood. This study offers unique insights for researchers, extension officers, and policymakers, on how farmers' risk and time preferences and preferred attributes can be used to tailor agroforestry interventions to be attractive for farmers in different contexts in pursuit of broader forest landscape restoration goals. (c) 2021 Elsevier Ltd. All rights reserved.
C1 [Ihli, Hanna Julia] Univ Bonn, Inst Food & Resource Econ ILR, Nussallee 21, D-53115 Bonn, Germany.
   [Ihli, Hanna Julia; Chiputwa, Brian] World Agroforestry ICRAF, Res Methods Grp, United Nations Ave,POB 30677, Nairobi 00100, Kenya.
   [Ihli, Hanna Julia; Chiputwa, Brian] World Agroforestry ICRAF, Landscapes Governance Theme, United Nations Ave,POB 30677, Nairobi 00100, Kenya.
   [Winter, Etti] Leibniz Univ Hannover, Inst Environm Econ & World Trade IUW, Koenigsworther Pl 1, D-30167 Hannover, Germany.
   [Gassner, Anja] Int Rice Res Inst IRRI, Res Methods Grp, World Agroforestry ICRAF, 2-F Khush Hall, Los Banos 4031, Laguna, Philippines.
C3 University of Bonn; CGIAR; World Agroforestry (ICRAF); CGIAR; World
   Agroforestry (ICRAF); Leibniz University Hannover; CGIAR; International
   Rice Research Institute (IRRI)
RP Ihli, HJ (corresponding author), Univ Bonn, Inst Food & Resource Econ ILR, Nussallee 21, D-53115 Bonn, Germany.
EM h.ihli@cgiar.org; b.chiputwa@cgiar.org; winter@iuw.uni-hannover.de;
   a.gassner@cgiar.org
FU German Research Foundation (DFG) [IH 128/1-1, CRC/Transregio 228,
   328966760]; International Climate Initiative (IKI) [BMUZ_1273]
FX This study was supported through funding from the German Research
   Foundation (DFG) under the grant (grant number: IH 128/1-1) and the
   CRC/Transregio 228: Future Rural Africa: Future-making and
   social-ecological transformation (Project number: 328966760) . We
   gratefully acknowledge the financial support from the project
   "Harnessing the potential of trees on farms for meeting national and
   global biodiversity targets", funded by The International Climate
   Initiative (IKI) (Grant number: BMUZ_1273) , and implemented by World
   Agroforestry (ICRAF) with various partners. We thank Clement Okia and
   Phillip Kihumuro of ICRAF Uganda for their support during the study.
CR Agarwal B, 2018, ECON POLIT-ITALY, V35, P3, DOI 10.1007/s40888-018-0092-8
   Alekseev A, 2017, J ECON BEHAV ORGAN, V134, P48, DOI 10.1016/j.jebo.2016.12.005
   Amare D, 2020, FOREST POLICY ECON, V120, DOI 10.1016/j.forpol.2020.102299
   Andersen S, 2008, ECONOMETRICA, V76, P583, DOI 10.1111/j.1468-0262.2008.00848.x
   Andersen S, 2006, EXP ECON, V9, P383, DOI 10.1007/s10683-006-7055-6
   Andersen S, 2014, EUR ECON REV, V71, P15, DOI 10.1016/j.euroecorev.2014.06.009
   [Anonymous], 2004, VALUING AGROFORESTRY
   [Anonymous], 2015, COFFEE BANANA INTERC
   [Anonymous], 2021, BONN CHALLENGE
   Bech M, 2005, HEALTH ECON, V14, P1079, DOI 10.1002/hec.984
   BECKER GS, 1976, J ECON LIT, V14, P817
   Beer J, 1997, AGROFOREST SYST, V38, P139, DOI 10.1023/A:1005956528316
   Benhabib J, 2010, GAME ECON BEHAV, V69, P205, DOI 10.1016/j.geb.2009.11.003
   BINSWANGER HP, 1980, AM J AGR ECON, V62, P395, DOI 10.2307/1240194
   Blare T., 2015, INT FOREST REV, V17, P46, DOI DOI 10.1505/146554815816002220
   Bocquého G, 2014, EUR REV AGRIC ECON, V41, P135, DOI 10.1093/erae/jbt006
   BOURNE M, 2015, INT FORESTRY REV, V0017
   Bro AS, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176946
   Bukomeko H, 2019, AGROFOREST SYST, V93, P755, DOI 10.1007/s10457-017-0172-8
   Bunn C, 2015, CLIMATIC CHANGE, V129, P89, DOI 10.1007/s10584-014-1306-x
   Camerer CF, 1999, J RISK UNCERTAINTY, V19, P7, DOI 10.1023/A:1007850605129
   Charness G, 2013, J ECON BEHAV ORGAN, V87, P43, DOI 10.1016/j.jebo.2012.12.023
   Chiappori P-A., 1993, Unitary versus collective models of the household: Time to shift the burden of proof?
   Chiputwa B, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100203
   Chiputwa B, 2020, ROLE OF ECOSYSTEM SERVICES IN SUSTAINABLE FOOD SYSTEMS, P229, DOI 10.1016/B978-0-12-816436-5.00012-3
   Chiputwa B, 2015, WORLD DEV, V66, P400, DOI 10.1016/j.worlddev.2014.09.006
   Clot S, 2017, APPL ECON, V49, P156, DOI 10.1080/00036846.2016.1192277
   Clot S, 2014, ECOL ECON, V108, P162, DOI 10.1016/j.ecolecon.2014.07.026
   Coe R, 2014, CURR OPIN ENV SUST, V6, P73, DOI 10.1016/j.cosust.2013.10.013
   Coulibaly JY, 2017, AGR SYST, V155, P52, DOI 10.1016/j.agsy.2017.03.017
   Cranford M, 2014, WORLD DEV, V64, P503, DOI 10.1016/j.worlddev.2014.06.019
   Dave C, 2010, J RISK UNCERTAINTY, V41, P219, DOI 10.1007/s11166-010-9103-z
   Dave R., 2019, Second Bonn Challenge progress report. Application of the barometer in 2018, DOI DOI 10.2305/IUCN.CH.2019.06.EN
   Dercon S, 2011, J DEV ECON, V96, P159, DOI 10.1016/j.jdeveco.2010.08.003
   Do H, 2020, AGRON SUSTAIN DEV, V40, DOI 10.1007/s13593-020-00624-5
   Dohmen T, 2011, J EUR ECON ASSOC, V9, P522, DOI 10.1111/j.1542-4774.2011.01015.x
   Doss CR, 2015, WORLD DEV, V74, P171, DOI 10.1016/j.worlddev.2015.05.001
   Duflo E, 2008, AM ECON REV, V98, P482, DOI 10.1257/aer.98.2.482
   Dumont ES, 2019, AGROFOREST SYST, V93, P1469, DOI 10.1007/s10457-018-0257-z
   Dumont ES, 2019, EXP AGR, V55, P252, DOI 10.1017/S0014479716000788
   Falk A, 2018, Q J ECON, V133, P1645, DOI 10.1093/qje/qjy013
   Franzel S., 2002, TREES FARM ASSESSING, DOI [10.1093/forestry/76.3.368, DOI 10.1093/FORESTRY/76.3.368]
   Frederick S, 2002, J ECON LIT, V40, P351, DOI 10.1257/002205102320161311
   Gourevitch JD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/11/114027
   Gram G, 2018, AGROFOREST SYST, V92, P1625, DOI 10.1007/s10457-017-0111-8
   Haile KK, 2019, ECOSYST SERV, V39, DOI 10.1016/j.ecoser.2019.100964
   Harrison GW, 2010, ECON J, V120, P80, DOI 10.1111/j.1468-0297.2009.02303.x
   Hensher D., 2015, Applied Choice Analysis: A Primer, VSecond, DOI [DOI 10.1017/CBO9781107415324.004, 10.1017/CBO9781107415324.004]
   Hepburn C, 2010, ENVIRON RESOUR ECON, V46, P189, DOI 10.1007/s10640-010-9354-9
   Hermann D, 2016, J BEHAV EXP ECON, V65, P16, DOI 10.1016/j.socec.2016.09.003
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hole AR, 2007, STATA J, V7, P388, DOI 10.1177/1536867X0700700306
   Holmes T P., 2003, Attribute-Based Methods in A Primer on Nonmarket Valuation
   Holt CA, 2002, AM ECON REV, V92, P1644, DOI 10.1257/000282802762024700
   Hurley T.M., 2010, REV AGR PRODUCTION R
   Ihli HJ, 2018, J BEHAV EXP ECON, V75, P31, DOI 10.1016/j.socec.2018.04.011
   IUCN, 2016, FOREST LANDSCAPE RES, DOI [10.1109/FIE.1995.483043, DOI 10.1109/FIE.1995.483043]
   Jacobson M, 2018, FOREST POLICY ECON, V86, P76, DOI 10.1016/j.forpol.2017.09.015
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Jerneck A, 2013, J RURAL STUD, V32, P114, DOI 10.1016/j.jrurstud.2013.04.004
   Jha S, 2014, BIOSCIENCE, V64, P416, DOI 10.1093/biosci/biu038
   Jindal R, 2013, LAND USE POLICY, V31, P71, DOI 10.1016/j.landusepol.2011.11.008
   Kaczan D, 2013, ECOL ECON, V95, P20, DOI 10.1016/j.ecolecon.2013.07.011
   KAHNEMAN D, 1979, ECONOMETRICA, V47, P263, DOI 10.2307/1914185
   Kijima Y, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0219202
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Läderach P, 2017, CLIMATIC CHANGE, V141, P47, DOI 10.1007/s10584-016-1788-9
   Laderach Peter., 2013, MESOAMERICAN COFFEE
   Laibson D, 1997, Q J ECON, V112, P443, DOI 10.1162/003355397555253
   Lamb D, 2005, SCIENCE, V310, P1628, DOI 10.1126/science.1111773
   LANCASTER KJ, 1966, J POLIT ECON, V74, P132, DOI 10.1086/259131
   Lee J, 2016, GLOBAL ENVIRON CHANG, V39, P98, DOI 10.1016/j.gloenvcha.2016.04.015
   Liebenehm S, 2014, AM J AGR ECON, V96, P1420, DOI 10.1093/ajae/aau056
   Liebig T, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0159392
   Liu EM, 2013, REV ECON STAT, V95, P1386, DOI 10.1162/REST_a_00295
   Liu EM, 2013, J DEV ECON, V103, P202, DOI 10.1016/j.jdeveco.2012.12.005
   McFadden D., 1974, Frontiers in Econometrics, chapter Conditional logit analysis of qualitative choice behavior, DOI DOI 10.1108/EB028592
   Meemken EM, 2017, WORLD DEV, V99, P285, DOI 10.1016/j.worlddev.2017.05.021
   Mercer DE, 2004, AGROFOREST SYST, V61-2, P311, DOI 10.1023/B:AGFO.0000029007.85754.70
   Mosley P., 2005, The European Journal of Development Research, V17, P59, DOI DOI 10.1080/09578810500066548
   Mubanga FC, 2020, LAND USE POLICY, V95, DOI 10.1016/j.landusepol.2020.104551
   Mugagga F, 2012, CATENA, V90, P39, DOI 10.1016/j.catena.2011.11.004
   Mukadasi B, 2007, AFR J ECOL, V45, P48, DOI 10.1111/j.1365-2028.2007.00857.x
   Mukasa AN, 2018, WORLD DEV, V105, P299, DOI 10.1016/j.worlddev.2017.12.006
   MWE, 2016, STAT UG FOR 2016
   Nguyen Q, 2010, ENVIRON DEV ECON, V15, P609, DOI 10.1017/S1355770X10000203
   NPA, 2007, UG VIS 2040, DOI [10.1007/s11947-009-0181-3, DOI 10.1007/S11947-009-0181-3]
   O'Donoghue T, 1999, AM ECON REV, V89, P103, DOI 10.1257/aer.89.1.103
   Obua J, 2010, AFR J ECOL, V48, P853, DOI 10.1111/j.1365-2028.2010.01217.x
   Oduro KA, 2018, SMALL-SCALE FOR, V17, P393, DOI 10.1007/s11842-018-9394-5
   Pattanayak Subhrendu K., 2003, Agroforestry Systems, V57, P173, DOI 10.1023/A:1024809108210
   Permadi DB, 2017, LAND USE POLICY, V65, P211, DOI 10.1016/j.landusepol.2017.04.015
   Prelec D, 1998, ECONOMETRICA, V66, P497, DOI 10.2307/2998573
   Nguyen Q, 2011, J RISK UNCERTAINTY, V43, P245, DOI 10.1007/s11166-011-9130-4
   Rakotonarivo OS, 2017, WORLD DEV, V94, P478, DOI 10.1016/j.worlddev.2017.02.009
   Sauter PA, 2018, ANN FOREST SCI, V75, DOI 10.1007/s13595-017-0683-5
   Schroth G, 2000, AGROFOREST SYST, V50, P199, DOI 10.1023/A:1006468103914
   Stanturf JA, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0833-z
   Tanaka T, 2010, AM ECON REV, V100, P557, DOI 10.1257/aer.100.1.557
   Tanaka Y, 2014, J AFR ECON, V23, P151, DOI 10.1093/jae/ejt020
   Teklewold H, 2011, J SOIL WATER CONSERV, V66, P87, DOI 10.2489/jswc.66.2.87
   THALER R, 1981, ECON LETT, V8, P201, DOI 10.1016/0165-1765(81)90067-7
   Thorn S, 2020, FRONT ECOL ENVIRON, V18, P505, DOI 10.1002/fee.2252
   Train KE, 2009, DISCRETE CHOICE METHODS WITH SIMULATION, 2ND EDITION, P1, DOI 10.1017/CBO9780511805271
   TVERSKY A, 1992, J RISK UNCERTAINTY, V5, P297, DOI 10.1007/BF00122574
   UNDP, 2013, CLIMATE RISK MANAGEM
   Valencia V, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00428.1
   Veihe A, 2000, ENVIRON MANAGE, V25, P393, DOI 10.1007/s002679910031
   Verdone M., 2016, Journal of Development and Agricultural Economics, V8, P200
   Viceisza ACG, 2016, J ECON SURV, V30, P835, DOI 10.1111/joes.12118
   Ward PS, 2018, WORLD DEV, V107, P163, DOI 10.1016/j.worlddev.2018.03.002
   Ward PS, 2015, J DEV STUD, V51, P707, DOI 10.1080/00220388.2014.989996
   Wynants M, 2019, REG ENVIRON CHANGE, V19, P1909, DOI 10.1007/s10113-019-01520-9
   Yesuf M, 2009, AM J AGR ECON, V91, P1022, DOI 10.1111/j.1467-8276.2009.01307.x
NR 114
TC 10
Z9 10
U1 6
U2 72
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 FEB
PY 2022
VL 150
AR 105713
DI 10.1016/j.worlddev.2021.105713
EA OCT 2021
PG 18
WC Development Studies; Economics
WE Social Science Citation Index (SSCI)
SC Development Studies; Business & Economics
GA WS6MM
UT WOS:000715293000003
DA 2025-01-10
ER

PT J
AU Ojo, TO
   Baiyegunhi, LJS
AF Ojo, T. O.
   Baiyegunhi, L. J. S.
TI Climate change perception and its impact on net farm income of
   smallholder rice farmers in South-West, Nigeria
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Climate change; Perception; Rice production; Ricardian model and
   double-hurdle model
ID AGRICULTURAL PRODUCTION; ADAPTATION STRATEGIES; HOUSEHOLD WEALTH;
   ADOPTION; CROPS; LEVEL; VULNERABILITY; DETERMINANTS; VARIABILITY; STRESS
AB Climate change such as extreme weather, unexpected temperature and rainfall fluctuations cause several significant risks to the agro-economy. This study, therefore, assessed the determinants of climate change perception (CCP), the level of perception and its impact on net farm income of rice farmers. This is imperative as the actual CC communication and policy, therefore, require a good understanding of smallholders' views and acknowledgment of individual's perception about CC. Employing cross-sectional data from 360 rice farmers selected from three States in South-West, Nigeria, a Ricardian model was used to analyse climate change impact on rice production. While accounting for selection bias, the study employed a double-hurdle (DH) model to estimate the determinants of farmers' perception of climate change. The results of DH estimation model show that location, access to credit, educational level and household size of the farmers are statistically significant factors influencing climate change perception (CCP). The result from the second hurdle shows that the perceived intensity of climate change was influenced by farm size, farming experience, marital status and educational level of smallholder rice farmers. The Ricardian model's result shows that farmers' income is influenced by CCP and their socio-economic characteristics. The results further indicate that smallholder rice farmers' net farm income is sensitive to marginal changes in both temperature and precipitation. Thus, this study recommends that government policies and investment strategies should be geared towards the support of education and the improvement of farmers' cooperatives, credit facilities and information about climate change, particularly in respect of smallholder rice farmers in Nigeria. The recommended improvements are imperative for food security. Investment in farmer training programmes is essential for development and may also be a panacea for improving the adoption of climate change adaptation strategies with the overall goal of increasing productivity.
C1 [Ojo, T. O.; Baiyegunhi, L. J. S.] Univ KwaZulu Natal, SAEES Discipline Agr Econ, P Bag X01, ZA-3209 Pietermaritzburg, South Africa.
   [Ojo, T. O.] Obafemi Awolowo Univ, Dept Agr Econ, Ife, Nigeria.
C3 University of Kwazulu Natal; Obafemi Awolowo University
RP Ojo, TO (corresponding author), Univ KwaZulu Natal, SAEES Discipline Agr Econ, P Bag X01, ZA-3209 Pietermaritzburg, South Africa.
EM ojotemitope70@yahoo.com
RI Ojo, Temitope/AAV-8577-2021; Baiyegunhi, Lloyd/J-8467-2012
OI Baiyegunhi, Lloyd James Segun/0000-0001-7717-3610; Ojo,
   Temitope/0000-0002-3517-0435
CR Abidoye BO, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817400061
   Adeagbo OA, 2021, HELIYON, V7, DOI 10.1016/j.heliyon.2021.e06231
   Adynkiewicz-Piragas M, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12125060
   Agboola S.A., 1979, AGR ATLAS NIGERIA
   Agossou G.T, 2014, ASSESSING IMPACT CLI
   Ahmad D, 2020, ENVIRON SCI POLLUT R, V27, P30767, DOI 10.1007/s11356-020-09368-x
   Ajetomobi J.O., 2010, JOINT 3 AFR ASS AGR, P19
   Alauddin M, 2013, ECOL ECON, V93, P210, DOI 10.1016/j.ecolecon.2013.05.015
   Altieri MA, 2017, CLIMATIC CHANGE, V140, P33, DOI 10.1007/s10584-013-0909-y
   [Anonymous], 2014, Research in Applied Economics, DOI DOI 10.5296/RAE.V6I4.6121
   Arshad M, 2018, ECOL INDIC, V89, P496, DOI 10.1016/j.ecolind.2017.12.014
   Asrat P, 2018, ECOL PROCESS, V7, DOI 10.1186/s13717-018-0118-8
   Baiyegunhi LJS, 2019, TECHNOL SOC, V56, P109, DOI 10.1016/j.techsoc.2018.09.009
   Baiyegunhi LJS, 2018, AFR J SCI TECHNOL IN, V10, P48, DOI 10.1080/20421338.2017.1382661
   Baiyegunhi L.J.S, LAND USE POLICY
   Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012
   Brooks N, 2005, GLOBAL ENVIRON CHANG, V15, P151, DOI 10.1016/j.gloenvcha.2004.12.006
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Cleveland DA, 2021, CLIM POLICY, V21, P16, DOI 10.1080/14693062.2020.1787939
   Comoé H, 2015, MITIG ADAPT STRAT GL, V20, pCP4, DOI 10.1007/s11027-013-9486-7
   CRAGG JG, 1971, ECONOMETRICA, V39, P829, DOI 10.2307/1909582
   Croppenstedt A., 2003, Review of Development Economics, V7, P58, DOI [DOI 10.1111/1467-9361.00175, 10.1111/1467-9361.00175]
   Danso-Abbeam G, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e04012
   De Salvo M, 2013, AGR SYST, V118, P23, DOI 10.1016/j.agsy.2013.02.005
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Di Falco S, 2012, ENVIRON RESOUR ECON, V52, P457, DOI 10.1007/s10640-011-9538-y
   Diggs D., 1991, GT PLAINS RES, V1, P114
   Feddema JJ, 2005, SCIENCE, V310, P1674, DOI 10.1126/science.1118160
   FEDER G, 1985, ECON DEV CULT CHANGE, V33, P255, DOI 10.1086/451461
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gaurav S, 2012, OXF DEV STUD, V40, P358, DOI 10.1080/13600818.2012.703319
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Gbetibouo GA, 2005, GLOBAL PLANET CHANGE, V47, P143, DOI 10.1016/j.gloplacha.2004.10.009
   Georgescu M, 2011, P NATL ACAD SCI USA, V108, P4307, DOI 10.1073/pnas.1008779108
   Ghimire R, 2015, FOOD SECUR, V7, P1321, DOI 10.1007/s12571-015-0518-x
   Greene W, 2009, PALGRAVE HANDBOOK OF ECONOMETRICS, VOLUME 2: APPLIED ECONOMETRICS, P473
   Gumma MK, 2011, J APPL REMOTE SENS, V5, DOI 10.1117/1.3619838
   Hitayezu P, 2017, CLIM RISK MANAG, V17, P123, DOI 10.1016/j.crm.2017.07.001
   Kahsay GA, 2016, ECOL ECON, V121, P54, DOI 10.1016/j.ecolecon.2015.11.016
   Kemausuor F., 2011, Journal of Agricultural and Biological Science, V6, P26
   Keshavarz M, 2021, J ARID ENVIRON, V184, DOI 10.1016/j.jaridenv.2020.104323
   Kurukulasuriya P, 2007, CLIMATIC CHANGE, V81, P39, DOI 10.1007/s10584-005-9021-2
   Kurukulasuriya P, 2006, WORLD BANK ECON REV, V20, P367, DOI 10.1093/wber/lhl004
   Lambi C.M., 2007, EC IMPACT CLIMATE CH, V4364
   Langyintuo AS, 2008, FOOD POLICY, V33, P550, DOI 10.1016/j.foodpol.2008.04.002
   Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x
   Maddison DavidJ., 2007, PERCEPTION ADAPTATIO, DOI 10.1596/1813-9450-4308
   Mendelsohn R, 2009, NEW HORIZ ENVIRON EC, P1
   MENDELSOHN R, 1994, AM ECON REV, V84, P753
   Mendelsohn R., 2004, Mitigation and Adaptation Strategies for Global Change, V9, P315
   Miah MG, 2017, ENVIRON MONIT ASSESS, V189, DOI 10.1007/s10661-017-6235-5
   Molua E.L., 2010, Libyan Agriculture Research Center Journal Internation, V1, P182
   Muller C, 2014, AFR J RANGE FOR SCI, V31, P1, DOI 10.2989/10220119.2013.845606
   Muller K, 2017, INT J SUST DEV WORLD, V45, P1
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Nguyen Thi Lan Huong Nguyen Thi Lan Huong, 2019, Journal of the Saudi Society of Agricultural Sciences, V18, P449, DOI 10.1016/j.jssas.2018.02.006
   Nhemachena C., 2010, Economic impacts of climate change on Agriculture and implications for food security in Southern Africa
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Ojo TO, 2020, SCI TOTAL ENVIRON, V745, DOI 10.1016/j.scitotenv.2020.141151
   Ojo TO., 2020, J. Econ. Struct, DOI [10.1186/s40008-020-00204-6, DOI 10.1186/S40008-020-00204-6]
   Ojo TO., 2019, J EC BEHAV STUD, V11, P166, DOI [10.22610/jebs.v11i1(J).2757, DOI 10.22610/JEBS.V11I1(J).2757]
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Ozor N., 2012, International Journal of Agriculture Sciences, V4, P243, DOI DOI 10.9735/0975-3710.4.5.243-252
   Paudel B, 2020, CLIMATIC CHANGE, V158, P485, DOI 10.1007/s10584-019-02607-2
   Raymond CM, 2009, ECOL ECON, V68, P1301, DOI 10.1016/j.ecolecon.2008.12.006
   Reinsborough MJ, 2003, CAN J ECON, V36, P21, DOI 10.1111/1540-5982.00002
   Ricardo D., 1921, The first six chapters of the principles of political economy and taxation of David Ricardo, 1817
   Ringler C., 2010, Climate change impacts on food security in sub-Saharan Africa: insights from comprehensive climate change scenarios
   Schlenker W, 2006, REV ECON STAT, V88, P113, DOI 10.1162/rest.2006.88.1.113
   Seo SN, 2008, ECOL ECON, V67, P109, DOI 10.1016/j.ecolecon.2007.12.007
   Shakhawat Hossain M, 2020, ECOL INDIC, V112, DOI 10.1016/j.ecolind.2020.106181
   Shakhawat Hossain M, 2019, ECOL ECON, V164, DOI 10.1016/j.ecolecon.2019.106354
   Singh S, 2020, ECOL INDIC, V116, DOI 10.1016/j.ecolind.2020.106475
   Sugden F, 2014, GLOBAL ENVIRON CHANG, V29, P258, DOI 10.1016/j.gloenvcha.2014.10.008
   Tambo JA, 2012, MITIG ADAPT STRAT GL, V17, P277, DOI 10.1007/s11027-011-9325-7
   Thinda KT, 2020, LAND USE POLICY, V99, DOI 10.1016/j.landusepol.2020.104858
   Thinda KT, 2021, J ASIAN AFR STUD, V56, P610, DOI 10.1177/0021909620934836
   Uddin MN, 2014, CLIMATE, V2, P223, DOI 10.3390/cli2040223
   Wang JX, 2009, AGR ECON-BLACKWELL, V40, P323, DOI 10.1111/j.1574-0862.2009.00379.x
   WHITE H, 1980, ECONOMETRICA, V48, P817, DOI 10.2307/1912934
   Wooldridge JeffreyMarc., 2002, Portuguese Economic Journal, V1, P117, DOI [10.1007/s10258-002-0008-x, DOI 10.1007/S10258-002-0008-X]
   Wooldridge M., 2003, Reasoning about rational agents, DOI DOI 10.7551/MITPRESS/5804.001.0001
   Yusuf S. A., 2008, Journal of Human Ecology, V23, P219
NR 83
TC 42
Z9 43
U1 2
U2 38
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD AUG 10
PY 2021
VL 310
AR 127373
DI 10.1016/j.jclepro.2021.127373
EA MAY 2021
PG 10
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA SV3YT
UT WOS:000663758600002
DA 2025-01-10
ER

PT J
AU Baier, C
   Thevs, N
   Villwock, D
   Emileva, B
   Fischer, S
AF Baier, Clara
   Thevs, Niels
   Villwock, Daniel
   Emileva, Begaiym
   Fischer, Selina
TI Water productivity of <i>Paulownia tomentosa x fortunei</i> (Shan Tong)
   in a plantation at Lake Issyk-Kul, Kyrgyzstan, Central Asia
SO TREES-STRUCTURE AND FUNCTION
LA English
DT Article
DE Climate change adaptation; Water consumption; Fast-growing trees; Drip
   irrigation; Bioeconomy; Wood biomass
ID SAP FLOW; CLIMATE-CHANGE; THERMAL DISSIPATION; TREE; IMPACTS; WOOD
AB Key message Water productivity of 3-year-old Paulownia tomentosa x fortunei (Shan Tong) trees in a plantation at Lake Issyk-Kul (Kyrgyzstan) ranged between 4.3 and 8.0 g l(-1) over the vegetation period 2019. Central Asia is a region where forests are naturally scarce and additionally are under high anthropogenic pressure due to an unmet demand for timber and fuelwood. Cultivation of fast-growing trees as a means to satisfy this need may, therefore, be instrumental to forest conservation and/or restoration efforts. In recent years, there has been a growing interest in Paulownia spp. as agroforestry or plantation tree. Paulownia is a deciduous tree genus of Chinese origin that is valued for its fast growth and light, yet sturdy wood, among other characteristics. This study investigated the water consumption, biomass production, and water productivity of Paulownia tomentosa x fortunei (trade name: Shan Tong) in a plantation setting on the northern shore of Lake Issyk-Kul (Kyrgyzstan) over the course of the vegetation period 2019. The method employed was Granier's thermal dissipation probe for measuring sap flow in trees. Estimated trunk biomass production per tree and season ranged from 1.52 to 3.41 kg, and the trees were found to consume between 433 and 613 l of water in total over the growing season. Water productivity, the amount of exploitable stem biomass produced per litre of water input, consequently ranged between 4.3 and 8.0 g l(-1). As numerous studies suggest that the thermal dissipation method underestimates tree water consumption to varying degrees, these values likely represent the upper range of the species' water productivity. A literature review shows its water productivity to be higher than that of regionally employed tree species such as Populus euphratica or Elaeagnus angustifolia.
C1 [Baier, Clara] Sachsen Leinen EV, D-04416 Markkleeberg, Germany.
   [Thevs, Niels; Fischer, Selina] World Agroforestry, Cent Asia Off, Bishkek 720001, Kyrgyzstan.
   [Thevs, Niels] Gesell Int Zusammenarbeit GIZ, D-53113 Bonn, Germany.
   [Villwock, Daniel] Hsch Wirtschaft & Umwelt Nurtingen Geislingen, Inst Angew Agrarforsch, D-72622 Nurtingen, Germany.
   [Emileva, Begaiym] Leibniz Inst Agrarentwicklung Transformat Okon IA, D-06120 Halle, Saale, Germany.
C3 Nuertingen-Geislingen University (NGU); Leibniz Association; Leibniz
   Institut fur Agrarentwicklung in Transformationsokonomien (IAMO)
RP Thevs, N (corresponding author), World Agroforestry, Cent Asia Off, Bishkek 720001, Kyrgyzstan.; Thevs, N (corresponding author), Gesell Int Zusammenarbeit GIZ, D-53113 Bonn, Germany.
EM n.thevs@cgiar.org
OI Thevs, Niels/0000-0003-1923-4280
FU German Academic Exchange Service (DAAD); BMZ as part of the Centre for
   International Migration and Development (CIM) programme
FX Funding was provided by the German Academic Exchange Service (DAAD) to
   Clara Baier (in form of a RISE Worldwide Scholarship) and to Daniel
   Villwock (PROMOS Programme) for their respective field research in
   Kyrgyzstan. Niels Thevs' position as an integrated expert at World
   Agroforestry as well as the sap flow equipment and the climate stations
   were co-funded by BMZ as part of the Centre for International Migration
   and Development (CIM) programme.
CR Akyildiz MH, 2010, J ENVIRON BIOL, V31, P351
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Andivia E, 2013, CONSUMO AGUA DISTINT
   [Anonymous], LOOKING HORIZON
   [Anonymous], HDB ATLAS DENDROLOGI, DOI [10.1002/9783527678518.ehg2003018, DOI 10.1002/9783527678518.EHG2003018]
   Basu C., 2016, Bioethanol, V2, P12
   Bernauer T, 2012, J PEACE RES, V49, P227, DOI 10.1177/0022343311425843
   Bobojonov I, 2014, AGR ECOSYST ENVIRON, V188, P245, DOI 10.1016/j.agee.2014.02.033
   Bork J., 2015, Forstarchiv, V86, P102
   Bush SE, 2010, TREE PHYSIOL, V30, P1545, DOI 10.1093/treephys/tpq096
   Chaires M, 2017, J PLANT INTERACT, V12, P128, DOI 10.1080/17429145.2017.1298851
   Clearwater MJ, 1999, TREE PHYSIOL, V19, P681
   Dorrie HL, 2018, THESIS RHINE WAAL U
   Eastwood A., 2009, RED LIST TREES CENTR
   Flo V, 2019, AGR FOREST METEOROL, V271, P362, DOI 10.1016/j.agrformet.2019.03.012
   Fuchs S, 2017, AGR FOREST METEOROL, V244, P151, DOI 10.1016/j.agrformet.2017.04.003
   Gottschling H, 2006, NATURRAUME BIOSPHARE
   GRANIER A, 1985, ANN SCI FOREST, V42, P193, DOI 10.1051/forest:19850204
   Icka P., 2016, Annals "Valahia" University of Targoviște - Agriculture, V10, P14
   Kassam AH, 2007, IRRIGATION SCI, V25, P185, DOI 10.1007/s00271-007-0068-x
   Khamzina A, 2006, AGROFOREST SYST, V66, P129, DOI 10.1007/s10457-005-4677-1
   Khamzina A, 2009, AGR FOREST METEOROL, V149, P1865, DOI 10.1016/j.agrformet.2009.06.015
   Kole C., 2012, HDB BIOENERGY CROP P
   Li P, 2007, J MATER SCI, V42, P8544, DOI 10.1007/s10853-007-1781-9
   Nelis PA, 2019, EUR J WOOD WOOD PROD, V77, P761, DOI 10.1007/s00107-019-01442-7
   Oishi A. Christopher, 2016, SoftwareX, V5, P139, DOI 10.1016/j.softx.2016.07.003
   Qi Yue Qi Yue, 2016, Mokchae Konghak = Journal of the Korean Wood Science and Technology, V44, P890
   Rao A, 1986, Paulownia in China: cultivation and utilization
   Reyer CPO, 2017, REG ENVIRON CHANGE, V17, P1563, DOI 10.1007/s10113-017-1187-4
   Reyer CPO, 2017, REG ENVIRON CHANGE, V17, P1639, DOI 10.1007/s10113-015-0893-z
   Smith DM, 1996, J EXP BOT, V47, P1833, DOI 10.1093/jxb/47.12.1833
   Steppe K, 2010, AGR FOREST METEOROL, V150, P1046, DOI 10.1016/j.agrformet.2010.04.004
   Stimm B., 2013, LWF AKTUELL, V96, P18
   Thomas FM, 2006, BASIC APPL ECOL, V7, P253, DOI 10.1016/j.baae.2005.07.008
   Undeland A, 2015, KYRGYZ REPUBLIC COMM
   Villwock D, 2019, WATER PRODUCTIVITY P
   Yadav N. K., 2013, American Journal of Plant Sciences, V4, P2070, DOI 10.4236/ajps.2013.411259
   Yin H, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01582-x
   Zotarelli L., 2018, STEP STEP CALCULATIO
NR 39
TC 3
Z9 4
U1 4
U2 25
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0931-1890
EI 1432-2285
J9 TREES-STRUCT FUNCT
JI Trees-Struct. Funct.
PD OCT
PY 2021
VL 35
IS 5
BP 1627
EP 1637
DI 10.1007/s00468-021-02141-8
EA MAY 2021
PG 11
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA UT8VH
UT WOS:000648815000001
DA 2025-01-10
ER

PT J
AU Marie, M
   Yirga, F
   Haile, M
   Ehteshammajd, S
   Azadi, H
   Scheffran, J
AF Marie, Mequannt
   Yirga, Fikadu
   Haile, Mebrahtu
   Ehteshammajd, Shaghayegh
   Azadi, Hossein
   Scheffran, Jurgen
TI Time-series trend analysis and farmer perceptions of rainfall and
   temperature in northwestern Ethiopia
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Climate change; Mann-Kendall test; Rainfall; Temperature;
   Farmers-perception; Gondar Zuria District
ID CLIMATE-CHANGE; ADAPTATION; DISTRICT; PATTERN
AB Smallholder farmers are the most vulnerable community to climate change in Ethiopia since they rely heavily on the subsistence rain-fed farming system. Thus, better climate change adaptation strategies need to be identified and implemented. This study aimed at identifying the farmers' perceptions of climate change and time series trend analysis of precipitation and temperature in northern Gondar Zuria District, Ethiopia. Data were gathered using a questionnaire from the institutional, socio-economic, and bio-physical situation of the 121 sample households. The survey data were analyzed using SPSS software version 21, XLSTAT software, and excel spreadsheets. The climate change trend analysis was conducted using monthly precipitation, which has been downloaded from free online resources such as Global Precipitation. The temperature data were collected using the Climate Centre and Climate Research Unit with 0.5 by 0.5 degree resolutions from 1980 to 2013. The climate variable data have been analyzed using a precipitation concentration index, anomaly index, coefficient of variation, simple linear regression, and Mann-Kendall test. The result revealed that for the main rain season (summer), a statistically insignificant decreasing trend was obtained. In the Belg season, there was a growing trend of precipitation. The max monthly and annual temperatures have increased significantly over time. However, the min temperature trend shows a non-significant increasing trend over the 1980-2013 periods. The recorded monthly precipitation and temperature data trend analysis were similar to the farmers' perceptions of changes in temperature and rainfall over the past 30 years. Therefore, we recommend possible adaptation strategies designed for climate change. Particularly, countries whose economy is dependent on rain-fed agriculture should pay attention to the increasing trend of temperature and the decreasing and unreliable nature of rainfall.
C1 [Marie, Mequannt; Yirga, Fikadu] Oda Bultum Univ, Coll Nat Resource & Environm Sci, Chiro, Ethiopia.
   [Haile, Mebrahtu] Mekelle Univ, Coll Dryland Agr & Nat Resources, Mekelle, Ethiopia.
   [Ehteshammajd, Shaghayegh] Islamic Azad Univ, Sci & Res Branch, Dept Econ Agr Extens & Educ, Tehran, Iran.
   [Azadi, Hossein; Scheffran, Jurgen] Univ Hamburg, Inst Geog, Res Grp Climate Change & Secur, Hamburg, Germany.
   [Azadi, Hossein] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic.
C3 Mekelle University; Islamic Azad University; University of Hamburg;
   Czech University of Life Sciences Prague
RP Haile, M (corresponding author), Mekelle Univ, Coll Dryland Agr & Nat Resources, Mekelle, Ethiopia.
EM mebrahtu.haile@yahoo.com
RI Haile, Mebrahtu/V-8695-2019; Scheffran, Jurgen/M-6876-2019; Azadi,
   Hossein/E-2361-2011
OI Scheffran, Jurgen/0000-0002-7171-3062; Haile,
   Mebrahtu/0000-0002-7043-0976; Azadi, Hossein/0000-0002-5108-1993
FU German DFG Clusters of Excellence CliSAP
FX This work was supported in part by the German DFG Clusters of Excellence
   CliSAP and CLICCS.
CR Abebe T., 2008, PERCEPTIONS OF STAKE, DOI [10.4236/as.2012.34074, DOI 10.4236/AS.2012.34074]
   Abeysingha N. S., 2014, J AGR PHYS, V14, P56
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abiy G., 2014, J NATURAL SCI RES, V4, P58
   Abrha M.G., 2015, INT J ENV SUSTAINABI, V4, P11, DOI DOI 10.24102/IJES.V4I3.563
   Agnew C. T., 1999, GeoJournal, V48, P299, DOI 10.1023/A:1007059403077
   Aklilu A., 2006, THESIS WAGENINGEN U
   Alhamshry A, 2020, WATER-SUI, V12, DOI 10.3390/w12010055
   Ampitiyawatta A. D., 2009, Journal of Agricultural Sciences (Sri Lanka), V4, P10
   [Anonymous], 2017, MOJ PROTEOMICS BIOIN
   [Anonymous], 2010, World Development Report 2010: Development and Climate Change
   [Anonymous], 2003, AFR RAINF TEMP EV SY
   [Anonymous], 2016, Agricultural Sample Survey 2015/2016, Volume 1 Area and Production of Major Crops
   [Anonymous], 2013, Am J Res Commun
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Ayele G., 2014, THESIS, V60
   Betelhem A., 2014, THESIS DIRE DAWA ADM
   Bewket A., 2010, THESIS E GOJJAM, DOI [10.20944/preprints201702.0014.v1, DOI 10.20944/PREPRINTS201702.0014.V1]
   Bewket W., 2008, Ethiopian Journal of Development Research, V29, P1
   Bewket W, 2007, INT J CLIMATOL, V27, P1467, DOI 10.1002/joc.1481
   Birsan MV, 2005, J HYDROL, V314, P312, DOI 10.1016/j.jhydrol.2005.06.008
   Bryan E, 2009, ENVIRON SCI POLICY, V12, P413, DOI 10.1016/j.envsci.2008.11.002
   Central statistical agency, 2016, FED DEM REP ETH AGR
   Cochrane L, 2020, J ARID ENVIRON, V175, DOI 10.1016/j.jaridenv.2019.104084
   Curtin R, 2000, PUBLIC OPIN QUART, V64, P413, DOI 10.1086/318638
   Dereje Ayalew Dereje Ayalew, 2012, Agricultural Sciences, V3, P608, DOI 10.4236/as.2012.34074
   Dereje T., 2014, THESIS N GONDAR ZONE
   Digafe Reta T, 2015, BMC Res Notes, V8, P400, DOI 10.1186/s13104-015-1357-8
   Dindang A., 2013, JMM RES PUBL, V6, P17
   Drapela K., 2011, Beskydy, V4, P133
   Dyer E, 2020, INT J CLIMATOL, V40, P2964, DOI 10.1002/joc.6377
   FAO, 2016, AGR SUBS AFR PROSP C
   Getachew H., 2014, AFR J AGR RES, V10, P1913
   Hare W., 2003, Assessment of Knowledge on Impacts of Climate Change - Contribution to the Specification of Art. 2 of the UNFCCC
   Hayelom B., 2017, J Atmos Pollut, DOI [10.20944/preprints201702.0014.v1, DOI 10.20944/PREPRINTS201702.0014.V1]
   Henock M., 2014, THESIS
   Intergovernmental Panel on Climate Change, 2007, IMPACTS ADAPTATION V
   IPCC, 2014, CLIMATE CHANGE 2014
   Kandji SerigneTacko., 2006, Climate Change and Variability in the Sahel Region: Impacts and Adaptation Strategies in the Agricultural Sector
   Kendall M., 1975, Rank Correlation Methods, V4th
   Kozan O, 2020, ADV ASIAN HUM-ENV RE, P71, DOI 10.1007/978-981-13-7513-2_4
   Misganaw Teshager Misganaw Teshager, 2014, International Journal of Agricultural Research, V9, P169, DOI 10.3923/ijar.2014.169.186
   Mobeen M, 2017, INT J CLIM CHANG STR, V9, P21, DOI 10.1108/IJCCSM-10-2015-0147
   OLIVER JE, 1980, PROF GEOGR, V32, P300, DOI 10.1111/j.0033-0124.1980.00300.x
   Panda A, 2019, ATMOS SCI LETT, V20, DOI 10.1002/asl.932
   Rakib M., 2016, AGR LIVESTOCK FISHER, V3, P27, DOI [10.3329/ralf.v3i1.27855, DOI 10.3329/RALF.V3I1.27855]
   Rao P. V. V. P. Solomon A., 2013, International Journal of Agricultural Science and Research, V3, P253, DOI [10.1007/s00704-012-0746-3, DOI 10.1007/s00704-012-0746-3]
   Sani S., 2014, THESIS W ETHIOPIA
   Sklenicka P, 2002, EKOL BRATISLAVA, V21, P181
   Tabari H, 2011, GLOBAL PLANET CHANGE, V79, P1, DOI 10.1016/j.gloplacha.2011.07.008
   Viste E, 2013, THEOR APPL CLIMATOL, V112, P535, DOI 10.1007/s00704-012-0746-3
   Von B, 1991, 13 IFPRI
   Watson J., 2001, How to Determine a Sample Size: Tipsheet #60
   Webb P., 1992, FOOD NUTR BULL, V15
   World Bank, 2018, FED DEM REP ETH
   Yohannes GM., 2009, LOCAL INNOVATION CLI
   Yue S, 2002, J HYDROL, V259, P254, DOI 10.1016/S0022-1694(01)00594-7
NR 58
TC 10
Z9 10
U1 0
U2 14
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 SEP
PY 2021
VL 23
IS 9
BP 12904
EP 12924
DI 10.1007/s10668-020-01192-0
EA JAN 2021
PG 21
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA TS5ZC
UT WOS:000612588400001
DA 2025-01-10
ER

PT J
AU Hendel, M
   Bobée, C
   Karam, G
   Parison, S
   Berthe, A
   Bordin, P
AF Hendel, Martin
   Bobee, Cecilia
   Karam, Ghid
   Parison, Sophie
   Berthe, Alexandre
   Bordin, Patricia
TI Developing a GIS tool for emergency urban cooling in case of heat-waves
SO URBAN CLIMATE
LA English
DT Article
DE Climate change adaptation; Heat waves; Urban cooling; Emergency heat
   wave response; Decision support tool
ID VULNERABILITY INDEX; PAVEMENT; TEMPERATURE; LONDON; SCALE; RISK
AB Many cities are expected to face a strong increase in the frequency and intensity of heat-waves by the end of the 21st Century due to climate change. In Paris, the frequency of heat-waves could rise from an average of one day per year to 14-26 days per year, with temperatures reaching up to 50 degrees C. Since 2012, pavement-watering is viewed as a potential tool for emergency cooling by the city while scientific work on the technique has found its application to be best suited to densely built urban areas, compared for example to urban greening whose impact may be hindered by lack of available planting space.
   This paper proposes an interdisciplinary approach combining urban physics with social sciences to develop such a GIS model for pavement-watering as an emergency response to heat-waves in Paris. It is built on performance criteria derived from previous work are input into a Geographic Information System to identify urban areas where pavement-watering would be most effective. In addition, a heat-related health risk assessment is conducted, using microclimatic, urban and socio-economic layers, to single out areas where heat-wave risk is highest in public spaces, combining high temperatures, pedestrian traffic and local population vulnerability. The microclimatic hazard dataset includes a physical model of park and water body cool islands assuming they are driven by thermal diffusion.
   The resulting tool has significant flexibility in defining the thresholds of the different indicators. The mapping scheme identified a total of 50 to 200 km of high priority areas for pavement-watering, requiring between 1400 and 5800 m(3)/day of non-potable water, equivalent to 0.6 to 2.6 L/day per capita. Limitations due to data quality or resolution are discussed as well as paths for further improvement.
C1 [Hendel, Martin; Bobee, Cecilia; Karam, Ghid; Parison, Sophie; Berthe, Alexandre; Bordin, Patricia] Univ Paris, CNRS, LIED, UMR 8236, F-75006 Paris, France.
   [Hendel, Martin; Karam, Ghid] Univ Gustave Eiffel, Dept SEN, ESIEE Paris, F-93162 Noisy Le Grand, France.
   [Parison, Sophie] Paris City Hall, Paris, France.
   [Berthe, Alexandre] Univ Rennes, LiRIS, EA 7481, F-35000 Rennes, France.
   [Bordin, Patricia] Univ Paris Est, Inst Rech Constructibilite, ESTP, F-94234 Cachan, France.
C3 Centre National de la Recherche Scientifique (CNRS); CNRS - Institute
   for Humanities & Social Sciences (INSHS); Universite Paris Cite;
   Universite Gustave-Eiffel; ESIEE Paris; Institut National des Sciences
   Appliquees de Lyon - INSA Lyon; Universite de Rennes
RP Hendel, M (corresponding author), Univ Paris, CNRS, LIED, UMR 8236, F-75013 Paris, France.
EM martin.hendel@univ-paris-diderot.fr
RI Karam, Ghid/KFB-1574-2024
OI Hendel, Martin/0000-0001-9934-9955
FU Water and Sanitation Department of Paris City Hall
FX Funding for this research was provided by the Water and Sanitation
   Department of Paris City Hall. The authors thank Julien Bigorgne from
   APUR for providing us with Parisian insolation data.
CR [Anonymous], 2016, GOVT RESOLUTION REPU
   [Anonymous], 2020, URBAN CLIM, DOI DOI 10.1016/J.UCLIM.2019.100543
   [Anonymous], 2019, URBAN CLIM, DOI DOI 10.1016/J.UCLIM.2019.100528
   Bador M, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa751c
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bradford K, 2015, ENVIRON SCI TECHNOL, V49, P11303, DOI 10.1021/acs.est.5b03127
   Carr LJ, 2010, AM J PREV MED, V39, P460, DOI 10.1016/j.amepre.2010.07.007
   Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013
   Daniel M, 2018, URBAN CLIM, V23, P287, DOI 10.1016/j.uclim.2016.11.001
   Doick KJ, 2014, SCI TOTAL ENVIRON, V493, P662, DOI 10.1016/j.scitotenv.2014.06.048
   Du YF, 2015, ENERG BUILDINGS, V102, P187, DOI 10.1016/j.enbuild.2015.05.020
   Hamada S, 2010, URBAN FOR URBAN GREE, V9, P15, DOI 10.1016/j.ufug.2009.10.002
   Hendel M., 2015, PAVEMENT WATERING CI
   Hendel M, 2018, BUILD ENVIRON, V144, P216, DOI 10.1016/j.buildenv.2018.08.027
   Hendel M, 2016, URBAN CLIM, V16, P43, DOI 10.1016/j.uclim.2016.02.003
   Hendel M, 2014, URBAN CLIM, V10, P189, DOI 10.1016/j.uclim.2014.11.002
   Hendel M, 2015, URBAN CLIM, V14, P650, DOI 10.1016/j.uclim.2015.10.006
   Hendel M, 2015, APPL THERM ENG, V78, P658, DOI 10.1016/j.applthermaleng.2014.11.060
   Ho HC, 2016, SCI TOTAL ENVIRON, V544, P929, DOI 10.1016/j.scitotenv.2015.12.021
   Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006
   Kang S, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-05252-y
   Keramitsoglou I, 2011, REMOTE SENS ENVIRON, V115, P3080, DOI 10.1016/j.rse.2011.06.014
   Kinouchi T., 1997, J HYDROSCI HYDRAUL E, V15, P55
   Lemonsu A, 2013, CLIMATIC CHANGE, V116, P679, DOI 10.1007/s10584-012-0521-6
   Lin WQ, 2015, LANDSCAPE URBAN PLAN, V134, P66, DOI 10.1016/j.landurbplan.2014.10.012
   Maillard P., 2014, TECH SCI METHODES, V6, P23
   Malvern Instruments, 2015, POPULATION PYRAMIDS
   Meinel A.B., 1976, APPL SOLAR ENERGY
   Mora C, 2017, NAT CLIM CHANGE, V7, P501, DOI [10.1038/nclimate3322, 10.1038/NCLIMATE3322]
   Nayak SG, 2018, PUBLIC HEALTH, V161, P127, DOI 10.1016/j.puhe.2017.09.006
   NREL, 2017, NAT REN EN LAB MEAS
   Pal JS, 2016, NAT CLIM CHANGE, V6, P197, DOI [10.1038/NCLIMATE2833, 10.1038/nclimate2833]
   Paris City Council, 2012, BLUE PAP
   Parison S., 2017, PLEA 2017 P DES THRI, P120
   Parison Sophie, 2018, ICUC10 14 S URB ENV
   Qin YH, 2014, ENERG BUILDINGS, V85, P389, DOI 10.1016/j.enbuild.2014.09.076
   Swanson A., 2016, WASHINGTON POST
   The National Academies Press, 2012, Tech. Rep. 1401
   Tsin P.K., 2016, URBAN CLIM, P1
   Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100
   Wolf T, 2013, WEATHER CLIM EXTREME, V1, P59, DOI 10.1016/j.wace.2013.07.004
   Yamagata H, 2008, WATER SCI TECHNOL, V57, P763, DOI 10.2166/wst.2008.187
NR 42
TC 12
Z9 12
U1 3
U2 43
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2020
VL 33
AR 100646
DI 10.1016/j.uclim.2020.100646
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 ND4TD
UT WOS:000561893700007
OA Bronze, Green Submitted
DA 2025-01-10
ER

PT J
AU Gemeda, DO
   Feyssa, DH
   Garedew, W
AF Gemeda, Dessalegn Obsi
   Feyssa, Debela Hunde
   Garedew, Weyessa
TI Meteorological data trend analysis and local community perception
   towards climate change: a case study of Jimma City, Southwestern
   Ethiopia
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
LA English
DT Article
DE Climate variability; Mann-Kendall; Rainfall anomaly index; Sen's slope;
   Standard precipitation index
ID EMPIRICAL-EVIDENCE; TEMPORAL ANALYSIS; MANN-KENDALL; VARIABILITY;
   RAINFALL; TEMPERATURE; DROUGHT; FARMERS; PRECIPITATION; PERSPECTIVES
AB This study examines the trends of temperature and rainfall as an evidence of climate change and variability in Jimma city, southwestern Ethiopia. Historical rainfall and temperature data of forty years (1978-2017) obtained from Ethiopian Meteorological Agency and household questionnaire survey (n=150) were used to assess the climate trend of Jimma city. Descriptive statistics have been used to assess people's perceptions towards climate change. Rainfall and temperature variability were analyzed using standard deviations, coefficient of variation (CV), rainfall anomaly index and standard precipitation index. The magnitude of the linear trends is estimated using the Sen's slope estimator, and Mann-Kendall test to check the statistical significance of the trends. Findings revealed that average maximum and minimum temperature showed statistically significant trend. The magnitude of increasing trends of monthly maximum temperature varies between 0.033 and 0.045 degrees C/year in January and April, respectively. For minimum temperature the magnitude of trends vary between 0.081 degrees C/year in November and 0.025 degrees C/year in April. Annual rainfall variability is relatively stable with 11% CV, while monthly rainfall variability was found to be very high in December, January, and February with CV 115, 80, and 75, respectively. The result from household survey shows that 85% perceived the increasing trends of temperature. The community perceived that climate change is having an impact on vector-borne diseases. Our results indicate that climate-borne disease and pests, food insecurity, frequent drought and flooding appear to have a significant relationship with climate change withpvalue 0.000, 0.029, 0.010, and 0.047, respectively. Thus, it is crucial to plan for climate change adaptation and mitigation strategies to minimize the potential impacts of climate change in the study area.
C1 [Gemeda, Dessalegn Obsi; Feyssa, Debela Hunde] Jimma Univ, Dept Nat Resources Management, Coll Agr & Vet Med, Jimma, Ethiopia.
   [Garedew, Weyessa] Jimma Univ, Dept Hort & Plant Sci, Coll Agr & Vet Med, Jimma, Ethiopia.
C3 Jimma University; Jimma University
RP Gemeda, DO (corresponding author), Jimma Univ, Dept Nat Resources Management, Coll Agr & Vet Med, Jimma, Ethiopia.
EM dasoobsi@gmail.com
RI Gemeda, Dessalegn Obsi/AAE-9441-2019
OI Gemeda, Dessalegn Obsi/0000-0002-8635-260X
CR Abebe M.S., 2019, Southwestern Ethiopia, V8, P6, DOI [10.1186/s40068-019-0133-5, DOI 10.1186/S40068-019-0133-5]
   Alemu A, 2011, PARASITE VECTOR, V4, DOI 10.1186/1756-3305-4-30
   Anastasiadis S, 2005, PEACE REV, V17, P299, DOI 10.1080/14631370500333039
   [Anonymous], 1965, NOTOS
   Asare-Nuamah P, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e02654
   Asfaw A, 2018, WEATHER CLIM EXTREME, V19, P29, DOI 10.1016/j.wace.2017.12.002
   Aticho A, 2018, GLOB ECOL CONSERV, V16, DOI 10.1016/j.gecco.2018.e00459
   Bari SH, 2016, ATMOS RES, V176, P148, DOI 10.1016/j.atmosres.2016.02.008
   Bewket Woldeamlak, 2012, International Journal of Environmental Studies, V69, P507, DOI 10.1080/00207233.2012.683328
   Cheung WH, 2008, INT J CLIMATOL, V28, P1723, DOI 10.1002/joc.1623
   Cui LF, 2017, J ATMOS SOL-TERR PHY, V164, P48, DOI 10.1016/j.jastp.2017.08.001
   Degefie D.T., 2019, AGR DROUGHT PROJECTI, P311, DOI DOI 10.1016/B978-0-12-815998-9.00024-5
   Dessalegn Obsi Gemeda Dessalegn Obsi Gemeda, 2015, Journal of Ecology and the Natural Environment, V7, P256
   Environmental and Social Impact Assessment Study, 2011, JIMM TOWN WAT SUPPL
   Feyssa D.H., 2015, Journal of Biological and Chemical Research, V32, P755
   Frondel M, 2017, ECOL ECON, V137, P173, DOI 10.1016/j.ecolecon.2017.02.019
   Gegulo DF., 2019, INT J EC ENV GEOLOGY, V10, P42, DOI [10.46660/ojs.v10i1.216, DOI 10.46660/OJS.V10I1.216]
   Gemeda DO, 2019, J AGR SCI-SRI LANKA, V14, P145, DOI 10.4038/jas.v14i3.8598
   Gemeda D.O., 2016, J. Ecol. Nat. Environ., V8, P40
   Gemeda DO, 2015, INT J SCI BASIC APPL, V22, P106
   Girma Eshetu Girma Eshetu, 2016, African Journal of Agricultural Research, V11, P3037, DOI 10.5897/AJAR2015.10160
   Gocic M, 2013, GLOBAL PLANET CHANGE, V100, P172, DOI 10.1016/j.gloplacha.2012.10.014
   Güçlü YS, 2018, J HYDROL, V566, P685, DOI 10.1016/j.jhydrol.2018.09.034
   Hänsel S, 2016, THEOR APPL CLIMATOL, V123, P827, DOI 10.1007/s00704-015-1389-y
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hasan MK, 2019, J ENVIRON MANAGE, V237, P54, DOI 10.1016/j.jenvman.2019.02.028
   Hein Y, 2019, CLIMATE, V7, DOI 10.3390/cli7050064
   Kendall M., 1975, Rank Correlation Methods, V4th
   Laidler GJ, 2006, CLIMATIC CHANGE, V78, P407, DOI 10.1007/s10584-006-9064-z
   Livada I, 2007, THEOR APPL CLIMATOL, V89, P143, DOI 10.1007/s00704-005-0227-z
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Naab FZ, 2019, CLIM SERV, V13, P24, DOI 10.1016/j.cliser.2019.01.007
   Nematchoua MK, 2019, URBAN CLIM, V29, DOI 10.1016/j.uclim.2019.100486
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Pingale SM, 2014, ATMOS RES, V138, P73, DOI 10.1016/j.atmosres.2013.10.024
   Pondorfer A, 2019, ENVIRON DEV, V30, P21, DOI 10.1016/j.envdev.2019.04.002
   Poortinga W, 2019, GLOBAL ENVIRON CHANG, V55, P25, DOI 10.1016/j.gloenvcha.2019.01.007
   Quirog S, 2015, ENVIRON SCI POLICY, V45, P53, DOI 10.1016/j.envsci.2014.09.007
   Randell H, 2016, GLOBAL ENVIRON CHANG, V41, P111, DOI 10.1016/j.gloenvcha.2016.09.006
   Samy A, 2019, WATER-SUI, V11, DOI 10.3390/w11030468
   Seaman JA, 2014, CLIM RISK MANAG, V4-5, P59, DOI 10.1016/j.crm.2014.10.001
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shah R, 2015, AQUAT PR, V4, P1243, DOI 10.1016/j.aqpro.2015.02.162
   Somboonsuke B., 2018, Kasetsart Journal of Social Sciences, V39, P277, DOI 10.1016/j.kjss.2018.05.006
   Steeves L, 2019, MAR POLICY, V103, P121, DOI 10.1016/j.marpol.2019.02.024
   Suryabhagavan KV, 2017, WEATHER CLIM EXTREME, V15, P11, DOI 10.1016/j.wace.2016.11.005
   Tabari H, 2011, WATER RESOUR MANAG, V25, P97, DOI 10.1007/s11269-010-9689-6
   Tapsuwan S, 2015, J OUTDOOR REC TOUR, V11, P58, DOI 10.1016/j.jort.2015.06.005
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Thomas J, 2016, J HYDROL, V534, P266, DOI 10.1016/j.jhydrol.2016.01.013
   Tian Q, 2016, J HYDROL, V536, P208, DOI 10.1016/j.jhydrol.2016.02.048
   Tigkas D, 2019, THEOR APPL CLIMATOL, V135, P1435, DOI 10.1007/s00704-018-2451-3
   Tigkas D, 2015, EARTH SCI INFORM, V8, P697, DOI 10.1007/s12145-014-0178-y
   Umar DA, 2019, ATMOS RES, V224, P52, DOI 10.1016/j.atmosres.2019.03.023
   Ureta C, 2020, AGR SYST, V177, DOI 10.1016/j.agsy.2019.102697
   Wedajo GK, 2019, ENV SYSTEMS RES, V8, P31
   Worqlul AW, 2018, WATER-SUI, V10, DOI 10.3390/w10020120
   Wu Xiaoxu, 2016, Environ Int, V86, P14, DOI 10.1016/j.envint.2015.09.007
   Xu Y, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0193073
   Yegbemey RN, 2014, CLIM RISK MANAG, V3, P13, DOI 10.1016/j.crm.2014.04.001
NR 60
TC 31
Z9 31
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 APR
PY 2021
VL 23
IS 4
BP 5885
EP 5903
DI 10.1007/s10668-020-00851-6
EA JUL 2020
PG 19
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 RL7UA
UT WOS:000552236000001
DA 2025-01-10
ER

PT J
AU Sansilvestri, R
   Cuccarollo, M
   Frascaria-Lacoste, N
   Benito-Garzon, M
   Fernandez-Manjarrés, J
AF Sansilvestri, Roxane
   Cuccarollo, Marlene
   Frascaria-Lacoste, Nathalie
   Benito-Garzon, Marta
   Fernandez-Manjarres, Juan
TI Evaluating climate change adaptation pathways through capital
   assessment: five case studies of forest social-ecological systems in
   France
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Adaptive capacity; Robustness trap; Transformability; Compromise; Social
   capital; Natural capital
ID ASSISTED COLONIZATION; ADAPTIVE GOVERNANCE; MANAGEMENT; RESILIENCE;
   FRAMEWORK; FUTURE; SUSTAINABILITY; VULNERABILITY; BIODIVERSITY;
   UNCERTAINTY
AB Forest social-ecological systems (FSESs) can play a major role in both the mitigation of climate change, as well as the adaptation of local communities to it. In Europe, however, forests are highly fragmented and located close to human populations. This means that maintaining forest sustainability implies not only increasing ecosystem adaptation but also developing social adaptation. Hence, there is a need to understand the current priorities and management goals of forestry stakeholders, as well as their capacity to achieve functional and sustainable FSES in the future. The present study uses an interdisciplinary approach to evaluate stakeholders' capacity to deal with climate change and top-down policies in different FSESs. We selected five FSESs in France that exhibit a range of climatic threats and socio-economic characteristics to estimate their adaptive capacity and transformative potential. The estimation is based on an assessment of different types of capital (i.e. natural, social, resources, governance) that involves evaluating 70 indicators through more than 70 semi-structured interviews with local stakeholders. Our results highlight that forest management in France, and more broadly in Europe, is mainly based on technical approaches, which build stakeholders' confidence in their capacity to maintain the status quo. We observe asymmetry in capital distribution in some FSES, mainly through the maximization of the resources capital, which can constraint FSESs in a robustness trap. To develop adaptive capacity for small perturbations as well as transformability, forestry stakeholders should be encouraged to compromises. More balanced capital distribution, with decreased economic benefits, along with new technical approaches and changes to the landscape composition could be necessary to ensure the long-term adaptability of FSES to climate change.
C1 [Sansilvestri, Roxane; Frascaria-Lacoste, Nathalie; Fernandez-Manjarres, Juan] Univ Paris Saclay, Univ Paris Sud, Lab Ecol Systemat Evolut, AgroParisTech,UMR 8079,CNRS, Orsay, France.
   [Cuccarollo, Marlene] Univ Pantheon Sorbonne, Geog Dept, Paris, France.
   [Benito-Garzon, Marta] Univ Bordeaux, INRA, UMR 1202, Pessac, France.
   [Sansilvestri, Roxane] Univ Paris Sud, Lab ESE, Bat 360,Campus Orsay Vallee, F-91405 Orsay, France.
C3 Universite Paris Saclay; AgroParisTech; Centre National de la Recherche
   Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE);
   Universite de Bordeaux; INRAE; Universite Paris Saclay
RP Sansilvestri, R (corresponding author), Univ Paris Saclay, Univ Paris Sud, Lab Ecol Systemat Evolut, AgroParisTech,UMR 8079,CNRS, Orsay, France.; Sansilvestri, R (corresponding author), Univ Paris Sud, Lab ESE, Bat 360,Campus Orsay Vallee, F-91405 Orsay, France.
EM roxysan@orange.fr
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Anderies JM, 2004, ECOL SOC, V9
   Anderies JM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05178-180208
   [Anonymous], ERIA
   Barthod Ch., 1998, Revue Forestiere Francaise (Nancy), V0, P215
   Berdoulay V., 2014, NATURES SCI SOC, V22, P114, DOI DOI 10.1051/NSS/2014024
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Bourdieu Pierre, 1984, Distinction: A Social Critique of the Judgement of Taste
   Boutefeu Benoit, 2006, Revue Forestiere Francaise (Nancy), V58, P61
   Brang P, 2014, FORESTRY, V87, P492, DOI 10.1093/forestry/cpu018
   Cardinale BJ, 2011, AM J BOT, V98, P572, DOI 10.3732/ajb.1000364
   da Silva MN, 2015, TREE PHYSIOL, V35, P987, DOI 10.1093/treephys/tpv046
   Dedeurwaerdere T., 2005, The contribution of network governance to sustainable development. Les seminaires de l'Iddri
   Dupuis J, 2013, ECOL SOC, V18, DOI 10.5751/ES-05965-180431
   Evely AC, 2008, ECOL SOC, V13, DOI 10.5751/ES-02679-130252
   Fazey I, 2010, FRONT ECOL ENVIRON, V8, P414, DOI 10.1890/080215
   Fazey I, 2009, TRENDS ECOL EVOL, V24, P475, DOI 10.1016/j.tree.2009.05.003
   Fernández-Manjarrés JF, 2010, SCIENCE, V330, P1318, DOI 10.1126/science.330.6009.1319-a
   Folke, 2002, RESILIENCE SUSTAINAB
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Gaudin S, 2016, REV SCI TECH FORET E, V228, P49
   Godard O., 2010, Natures Sciences Societes, V18, P287
   Gomm R., 2000, Case Study Method: Key Issues, Key Texts
   Gupta J, 2010, ENVIRON SCI POLICY, V13, P459, DOI 10.1016/j.envsci.2010.05.006
   Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245
   Husson JP, 2006, FORET RESSOURCE PATR
   Institut National de l'Information Geographique et Forestiere, 2017, MEM INV FOR
   Isbell F, 2015, NATURE, V526, P574, DOI 10.1038/nature15374
   Jarzebski MP, 2016, SUSTAIN SCI, V11, P307, DOI 10.1007/s11625-015-0323-7
   Karnkowski Witold, 2010, Progress in Plant Protection, V50, P1260
   Lefèvre F, 2014, ANN FOREST SCI, V71, P723, DOI 10.1007/s13595-013-0272-1
   Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Maciver DC, 2005, CLIMATIC CHANGE, V70, P273, DOI 10.1007/s10584-005-5950-z
   Magnan A, 2014, RISQUES COTIERS ADAP, P241
   Magnan A, 2009, VERTIGO REV ELECT SC, V9, P3
   MCCARTHY MA, 1995, FOREST ECOL MANAG, V74, P23, DOI 10.1016/0378-1127(94)03523-Y
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Mola-Yudego B, 2017, BIOMASS BIOENERG, V106, P95, DOI 10.1016/j.biombioe.2017.08.021
   Moon K, 2014, CONSERV BIOL, V28, P1167, DOI 10.1111/cobi.12326
   National Toxicology Program, 2011, Natl Toxicol Program Tech Rep Ser, P1
   Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007
   Nelson R., 2007, POTENTIAL MAP ADAPTI
   Olsson P, 2004, ECOL SOC, V9
   Olsson P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06799-190401
   Ostrom E., 1990, GOVERNING COMMONS EV, DOI DOI 10.1017/CBO9780511807763
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001
   Papillon P, 2014, FORETS PERIURBAINES
   Percheval J, 2014, DEV FILIERE BOIS ENE
   Pottier 100Aude, 2014, ANN GEOGR, V123, P1016, DOI DOI 10.3917/AG.698.1016
   Ravera F, 2011, ECOL SOC, V16
   Schultz C, 2008, ENVIRON SCI POLICY, V11, P253, DOI 10.1016/j.envsci.2007.09.002
   Schultz L, 2015, P NATL ACAD SCI USA, V112, P7369, DOI 10.1073/pnas.1406493112
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Szreter S, 2004, INT J EPIDEMIOL, V33, P650, DOI 10.1093/ije/dyh013
   Thoening JC, 1973, ERE TECHNOCRATES CAS
   Tilman D, 2006, NATURE, V441, P629, DOI 10.1038/nature04742
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Tompkins E. L., 2004, Ecology and Society, V9, P10
   Walker B., 2004, Ecology and Society, V9, P5
   Walker B, 2006, ECOL SOC, V11
   Wang TL, 2012, FOREST ECOL MANAG, V279, P128, DOI 10.1016/j.foreco.2012.05.034
   Williamson T, 2012, FOREST POLICY ECON, V24, P48, DOI 10.1016/j.forpol.2012.09.006
   Wilson G, 2010, T I BRIT GEOGR, V35, P364
   ,, 2009, CBD Technical Series
NR 67
TC 7
Z9 7
U1 0
U2 35
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 MAR
PY 2020
VL 15
IS 2
SI SI
BP 539
EP 553
DI 10.1007/s11625-019-00731-7
PG 15
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA KT1UC
UT WOS:000518796900013
DA 2025-01-10
ER

PT C
AU Ernsteins, R
   Stokmane, M
   Pudans, A
AF Ernsteins, Raimonds
   Stokmane, Maija
   Pudans, Arturs
BE Auzina, A
TI LOCAL COASTAL GOVERNANCE ASSESSMENT DEVELOPMENT: COASTAL GOVERNANCE
   FRAMEWORK REPORTING
SO ECONOMIC SCIENCE FOR RURAL DEVELOPMENT 2020
SE Economic Science for Rural Development
LA English
DT Proceedings Paper
CT 21st International Scientific Conference on Economic Science for Rural
   Development (ESRD)
CY MAY 12-15, 2020
CL Jelgava, LATVIA
SP Latvia Univ Life Sci & Technoogies, Fac Econ & Social Dev, Nord Assoc Agr Sci, Latvias Lauksaimniecibas Meza Ziatnu, Interframe LV
DE coastal governance report; socio-ecological system; integrated coastal
   management; environmental governance dimensions
ID ZONE MANAGEMENT
AB Coastal governance practice at the local level in Latvia has various shortages and the reasons behind that are several, including, that the coastal municipalities have neither sufficient coastal information and understanding, nor integrative planning tradition and active stakeholder's participation experience. The aim is to study to what extent and how municipal coastal governance (MCG) has been developed and accordingly performed towards effective pro-environmental and pro-coastal policies, thus analysing the coastal governance dimensions - governance content, process and its documents, main stakeholders understanding and contribution - in Jurmala municipality as a chosen coastal pilot territory, since being especially sensitive area at the Latvian coastline. The summary results of case study research (document studies, observation and stakeholder's interviews) suggest, that the municipality still has limited focus on sustainable coastal governance - in general, underdeveloped internationally acknowledged integrated coastal management (ICM) implementation approaches and related requirement on various basic ICM capacities development. There are neither specially designed coastal planning and management system (ICM sectorial/cross-sectorial approach), nor well developed ICM integration into statutory municipal development planning process and products (ICM integration approach). Existent MCG is based on long existing traditional approach of former and formal sector-based municipal development planning with limited cross-sectorial perspectives and linking. Taking into account also climate change adaptation challenges, new understanding and new approaches, including mixed ICM approach and also, eventually, a range of innovative coastal governance instruments. The study is done in the framework of the research-and-development approach aimed also to develop recommendations for the improvement of the local coastal governance practise, e.g. testing of MCG framework and also testing to be pre- and post-planning document - Municipal Coastal Governance Outlook - as designed for MCG overview and assessment with later public discussion and stakeholder MCG agreement as well as for integrative planning as could be serving as basic missing integration instrument.
C1 [Ernsteins, Raimonds; Stokmane, Maija; Pudans, Arturs] Univ Latvia, Riga, Latvia.
C3 University of Latvia
RP Ernsteins, R (corresponding author), Univ Latvia, Riga, Latvia.
EM raimonds.ernsteins@lu.lv; ms08165@students.lu; art.pudans@gmail.com
RI Štokmane, Maija/Q-5193-2019; Ernsteins, Raimonds/AAZ-3725-2020;
   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], 2010, Sustainable Development Strategy of Latvia until 2030
   [Anonymous], 2002, RECOMMENDATION EUROP
   [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 Raimonds, 2017, WSEAS Transactions on Environment and Development, V13, P276
   Ernsteins R, 2011, WIT TRANS ECOL ENVIR, V149, P29, DOI 10.2495/CP110031
   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
   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
   Kaulins J, 2018, ECON SCI RURAL DEV, P129, DOI 10.22616/ESRD.2018.077
   Klingsheim J. M., 2011, BLAST BRINGING LAND, P1
   Lontone A., 2017, P 13 INT MEDCOAST C, P105
   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
NR 24
TC 0
Z9 0
U1 0
U2 5
PU LATVIA UNIV LIFE SCIENCES & TECHNOLOGIES
PI JELGAVA
PA LIELA IELA 2, JELGAVA, LV-3001, LATVIA
SN 1691-3078
EI 2255-9930
BN 978-9984-48-345-0
J9 ECON SCI RURAL DEV
PY 2020
IS 54
BP 99
EP 108
DI 10.22616/ESRD.2020.54.012
PG 10
WC Development Studies; Economics
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Development Studies; Business & Economics
GA BT5BY
UT WOS:000835680100012
OA Bronze
DA 2025-01-10
ER

PT J
AU Hussain, M
   Liu, GJ
   Yousaf, B
   Ahmed, R
   Uzma, F
   Ali, MU
   Ullah, H
   Butt, AR
AF Hussain, Mudassar
   Liu, Guijian
   Yousaf, Balal
   Ahmed, Rafay
   Uzma, Faiza
   Ali, Muhammad Ubaid
   Ullah, Habib
   Butt, Abdul Rahman
TI Regional and sectoral assessment on climate-change in Pakistan: Social
   norms and indigenous perceptions on climate-change adaptation and
   mitigation in relation to global context
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Climate change; Adaptation; Mitigation; Indigenous perceptions; Sectoral
   assessment
ID GREENHOUSE-GAS EMISSIONS; CO2 EMISSIONS; GHG EMISSIONS; CARBON
   FOOTPRINT; PUNJAB PROVINCE; LAND-USE; ENERGY; STRATEGIES; BIOMASS;
   POLICY
AB Climate change has extremely damaged the whole world, particularly South Asian countries because common residents in this region are considered highly vulnerable to climate change impacts whereas their common awareness to adapt and mitigate these impacts is very low. Pakistan is one of the most important South Asian countries and has been affected tremendously through several impacts namely; temperature rise, drought, pest-diseases, health issues, seasonal and lifestyle change and it has the potential to continue doing so in future. We conducted a survey to explore the adaptation and mitigation alertness to climate change among all provinces and areas (urban, peri-urban and rural) of Pakistan from general public since they are directly affected by climate change. In Pakistan, climate change is essentially caused by greenhouse gas (GHG) emissions and the foremost sources of rise in the GHG emissions are human activities, such as deforestation and emissions from various sectors; transportation, industrialization, urbanization, waste, agriculture livestock & forestry and energy usage. All of these have a significant impact on climate change in all areas and provinces. The study determines that all the areas in Pakistan played an increased role in climate change, but rural, peri-urban, and small cities turned out to be in worst situation due to lack of attention and ignorance. Datum produced from this study can pave a way for assisting in preparing, instructing, and guiding national and international decision makers in order to upgrade the levels of adaptation and mitigation policy making and its implementation in South Asia specially and at global scale generally. (C) 2018 Elsevier Ltd. All rights reserved.
C1 [Hussain, Mudassar; Liu, Guijian; Butt, Abdul Rahman] Univ Sci & Technol China, Sch Publ Affairs, Hefei 230026, Anhui, Peoples R China.
   [Hussain, Mudassar; Liu, Guijian; Yousaf, Balal; Ahmed, Rafay; Ali, Muhammad Ubaid; Ullah, Habib] Univ Sci & Technol China, Sch Earth & Space Sci, CAS Key Lab Crust Mantle Mat & Environm, Hefei 230026, Anhui, Peoples R China.
   [Hussain, Mudassar; Uzma, Faiza] Univ Lahore, Dept Environm Sci, Res Grp Climate Change Adaptat, Lahore 54000, Pakistan.
   [Uzma, Faiza] Univ Sci & Technol China, Hefei Natl Lab Phys Sci Microscale, Hefei 230026, Anhui, Peoples R China.
   [Uzma, Faiza] Univ Sci & Technol China, Synerget Innovat Ctr Quantum Informat & Quantum P, Hefei 230026, Anhui, Peoples R China.
C3 Chinese Academy of Sciences; University of Science & Technology of
   China, CAS; Chinese Academy of Sciences; University of Science &
   Technology of China, CAS; University of Lahore; Chinese Academy of
   Sciences; University of Science & Technology of China, CAS; Chinese
   Academy of Sciences; University of Science & Technology of China, CAS;
   CAS Center for Excellence in Quantum Information & Quantum Physics
RP Liu, GJ (corresponding author), Univ Sci & Technol China, Sch Earth & Space Sci, CAS Key Lab Crust Mantle Mat & Environm, Hefei 230026, Anhui, Peoples R China.
EM mudassir@mail.ustc.edu.cn; lgj@ustc.edu.cn; balal@ustc.edu.cn;
   malikrafay@mail.ustc.edu.cn; faizauzma@mail.ustc.edu.cn;
   ubaid@mail.ustc.edu.cn; habib901@mail.ustc.edu.cn;
   arbutt@mail.ustc.edu.cn
RI Ullah, Habib/J-2801-2018; Butt, Abdul Rahman/ABE-2704-2021; Yousaf,
   Balal/M-7567-2015; Ali, Muhammad Ubaid/J-9776-2019
OI Yousaf, Balal/0000-0003-2732-2176; Ali, Muhammad
   Ubaid/0000-0002-3564-213X; Ullah, Habib/0000-0002-2958-8958; Uzma,
   Faiza/0009-0009-5987-7505
FU National Natural Science Foundation of China [41672144]; Fundamental
   Research Funds for the Central Universities [WK2080000103]; China
   Postdoctoral Science foundation [2018M632552]; Chinese Academy of
   Science (CAS) [2018FYB0002]
FX The authors greatly acknowledged the National Natural Science Foundation
   of China (NO. 41672144), the Fundamental Research Funds for the Central
   Universities (WK2080000103) and China Postdoctoral Science foundation
   (2018M632552) for financial support for this study. The Chinese Academy
   of Science (CAS) is also greatly acknowledged for providing the CAS
   Young Scientist Award (2018FYB0002). We also greatly appreciate the
   efforts of Professor Dr. Fazal-e-Aleem, Dr. Munir Ahmed, Dr. Mudassir,
   Mr. Aftar Ali, Mr. Salman Ijaz, Ms. Rabia Aslam, Mr. Sarfraz Ahmad, Mr.
   Sheraz Ahmed Khan, Mr. Imran, Mr. Inam-ul-Haq and Usman Ghani for the
   data collection and Mr Fahad Asmi and Mr Azfar Anwar for their help in
   data analysis.
CR Abas N, 2017, RENEW SUST ENERG REV, V80, P990, DOI 10.1016/j.rser.2017.04.022
   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
   Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   Ahmed M., 2014, ASSESSING COSTS CLIM
   Andersson E, 2018, GLOBAL ENVIRON CHANG, V48, P76, DOI 10.1016/j.gloenvcha.2017.11.004
   Andreae MO, 2001, GLOBAL BIOGEOCHEM CY, V15, P955, DOI 10.1029/2000GB001382
   Antoci A, 2018, COMMUN NONLINEAR SCI, V58, P262, DOI 10.1016/j.cnsns.2017.06.016
   Askari SJ., 2009, PAKISTAN EC SURVEY, P223
   Awais M, 2018, ENVIRON SCI POLLUT R, V25, P13719, DOI 10.1007/s11356-018-1587-0
   Benbasat Benbasat I. I., 2002, Qualitative research in information systems: a reader
   Benhelal E, 2013, J CLEAN PROD, V51, P142, DOI 10.1016/j.jclepro.2012.10.049
   Bernabeo R. A., 2013, 2018 ADV SCI ENG TEC, P1
   Busby J, 2018, ENERGY RES SOC SCI, V37, P198, DOI 10.1016/j.erss.2017.09.003
   Campbell P, 2018, ENVIRON POLLUT, V238, P903, DOI 10.1016/j.envpol.2018.04.020
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Cecchini L, 2018, J CLEAN PROD, V197, P895, DOI 10.1016/j.jclepro.2018.06.165
   Centre D., 2017, POVERTY VULNERABILIT, V2016, P1
   Cobbinah P. B., 2016, CLIMATE CHANGE ADAPT, V5529, DOI [10.1080/17565529.2015.1034228, DOI 10.1080/17565529.2015.1034228]
   Cochran FV, 2012, REMOTE SENS ENVIRON, V127, P316, DOI 10.1016/j.rse.2012.09.012
   Cohen J., 1988, Nature, V506, DOI DOI 10.1038/506274A
   Colin M, 2016, TRANSP RES PROC, V14, P86, DOI 10.1016/j.trpro.2016.05.044
   Collins M, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1029
   Demski C, 2017, CLIMATIC CHANGE, V140, P149, DOI 10.1007/s10584-016-1837-4
   Feliciano D, 2013, J ENVIRON MANAGE, V120, P93, DOI 10.1016/j.jenvman.2013.02.010
   Fufa SM, 2018, J CLEAN PROD, V197, P34, DOI 10.1016/j.jclepro.2018.06.006
   Garcia-Gusano D, 2018, RENEW ENERG, V126, P202, DOI 10.1016/j.renene.2018.03.044
   Gdp R, 2017, PAKISTAN EC SURVEY 2, pii
   Guo LL, 2015, J RENEW SUSTAIN ENER, V7, DOI 10.1063/1.4929803
   Han ZY, 2018, WASTE MANAGE, V72, P45, DOI 10.1016/j.wasman.2017.11.039
   Hao H, 2014, ENERGY, V68, P783, DOI 10.1016/j.energy.2014.01.008
   Houghton J.T., 2001, CONTRIBUTION WORKING, P1
   Houghton RA, 2003, TELLUS B, V55, P378, DOI 10.1034/j.1600-0889.2003.01450.x
   Huang W, 2016, ADV CLIM CHANG RES, V7, P247, DOI 10.1016/j.accre.2016.12.003
   Hussain S, 2016, EXPOS HEALTH, V8, P107, DOI 10.1007/s12403-015-0186-2
   Imran H. M., 2018, EFFECTIVENESS GREEN, V197, DOI [10.1016/jjclepro.2018.06.179, DOI 10.1016/JJCLEPRO.2018.06.179]
   IPCC, 2007, CLIM CHANG 2007 SYNT, DOI [10.1256/00431650232051734, DOI 10.1256/00431650232051734]
   Irfan M, 2014, ATMOS ENVIRON, V84, P189, DOI 10.1016/j.atmosenv.2013.11.046
   Karner A, 2016, TRANSPORT POLICY, V52, P46, DOI 10.1016/j.tranpol.2016.07.004
   Kayani AS, 2018, J ANIM PLANT SCI, V28, P584
   Khan A. N., 2011, P S CHANG ENV PATT I
   Khan MA, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-015-5127-7
   Kiliç E, 2018, SCI TOTAL ENVIRON, V635, P60, DOI 10.1016/j.scitotenv.2018.04.111
   Kim K, 2017, J CLEAN PROD, V143, P40, DOI 10.1016/j.jclepro.2016.12.152
   Kruger J, 1999, J PERS SOC PSYCHOL, V77, P1121, DOI 10.1037/0022-3514.77.6.1121
   Lijó L, 2018, SCI TOTAL ENVIRON, V634, P127, DOI 10.1016/j.scitotenv.2018.03.299
   Lin BQ, 2016, RENEW SUST ENERG REV, V56, P1182, DOI 10.1016/j.rser.2015.12.012
   Liu JS, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0170293
   Liu TT, 2016, ENVIRON SCI POLICY, V58, P41, DOI 10.1016/j.envsci.2016.01.002
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Malla S., 2014, Policy Research working paper no. WPS 6903, DOI [10.1596/1813-9450-6903, DOI 10.1596/1813-9450-6903]
   Mandal KG, 2004, J FOOD AGRIC ENVIRON, V2, P224
   Massey E, 2013, REG ENVIRON CHANGE, V13, P341, DOI 10.1007/s10113-012-0341-2
   Masud MM, 2017, J CLEAN PROD, V156, P698, DOI 10.1016/j.jclepro.2017.04.060
   Matthews E., 2007, P INT LANDFILL S, P1
   Mi ZF, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa69cf
   Mir KA, 2017, ENVIRON SCI POLLUT R, V24, P27345, DOI 10.1007/s11356-017-0354-y
   Moser SC, 2008, CLIMATIC CHANGE, V87, pS309, DOI 10.1007/s10584-007-9384-7
   Mudombi S, 2017, JAMBA-J DISASTER RIS, V9, DOI 10.4102/jamba.v9i1.292
   Nadeem O, 2008, ENVIRON IMPACT ASSES, V28, P562, DOI 10.1016/j.eiar.2008.02.003
   Nawrotzki RJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114023
   Of M. Change C, 2012, NAT CLIM CHANG POL G
   Ottelin J, 2018, J CLEAN PROD, V170, P1523, DOI 10.1016/j.jclepro.2017.09.204
   PAK-EPA, 2005, GUID SOL WAST MAN
   Paladugula AL, 2018, ENERG POLICY, V116, P10, DOI 10.1016/j.enpol.2018.01.037
   Pasqual JC, 2018, ENERGIES, V11, DOI 10.3390/en11040997
   Peñaloza D, 2018, J CLEAN PROD, V187, P1025, DOI 10.1016/j.jclepro.2018.03.285
   Prinz R, 2018, J CLEAN PROD, V197, P208, DOI 10.1016/j.jclepro.2018.06.210
   Reckien D, 2018, J CLEAN PROD, V191, P207, DOI 10.1016/j.jclepro.2018.03.220
   Sarkodie SA, 2018, SCI TOTAL ENVIRON, V639, P888, DOI 10.1016/j.scitotenv.2018.05.204
   Shabbir R, 2010, ENERGY, V35, P2323, DOI 10.1016/j.energy.2010.02.025
   Shah IH, 2016, ATMOS ENVIRON, V127, P236, DOI 10.1016/j.atmosenv.2015.12.012
   Skinner M.W., 2004, MITIG ADAPT STRAT GL, V7, P85
   Smucker TA, 2015, GEOFORUM, V59, P39, DOI 10.1016/j.geoforum.2014.11.018
   Tagomori IS, 2018, INT J GREENH GAS CON, V68, P112, DOI 10.1016/j.ijggc.2017.10.013
   Tahir SNA, 2010, ENVIRON POLLUT, V158, P2490, DOI 10.1016/j.envpol.2010.03.017
   Taki M, 2018, J CLEAN PROD, V197, P195, DOI 10.1016/j.jclepro.2018.06.173
   Trinh TA, 2018, IOP C SER EARTH ENV, V143, DOI 10.1088/1755-1315/143/1/012065
   Ul-Haq Z, 2017, J ATMOS SOL-TERR PHY, V152, P11, DOI 10.1016/j.jastp.2016.11.001
   US EPA, 2016, CLIM CHANG INDIC US, VFourth, DOI [10.1016/j.ajodo.2007.08.016, DOI 10.1016/J.AJODO.2007.08.016]
   van der Werf GR, 2004, SCIENCE, V303, P73, DOI 10.1126/science.1090753
   Vogel B, 2015, GLOBAL ENVIRON CHANG, V31, P110, DOI 10.1016/j.gloenvcha.2015.01.001
   Wang Z, 2018, J CLEAN PROD, V197, P462, DOI 10.1016/j.jclepro.2018.06.092
   Woodruff Sierra C., 2016, Nature Climate Change, V6, P796, DOI 10.1038/nclimate3012
   Yao YF, 2018, ENERG SOURCE PART B, V13, P141, DOI 10.1080/15567249.2011.645117
   Yin R., 2010, QUALITATIVE RES STAR
   Yousaf B, 2017, APPL ENERG, V208, P142, DOI 10.1016/j.apenergy.2017.10.059
   Yousaf B, 2017, GCB BIOENERGY, V9, P1085, DOI 10.1111/gcbb.12401
   Yousaf B, 2016, CHEMOSPHERE, V150, P79, DOI 10.1016/j.chemosphere.2016.02.007
   Zuberi MJS, 2015, RENEW SUST ENERG REV, V44, P117, DOI 10.1016/j.rser.2014.12.028
NR 90
TC 77
Z9 77
U1 1
U2 73
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD NOV 1
PY 2018
VL 200
BP 791
EP 808
DI 10.1016/j.jclepro.2018.07.272
PG 18
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA GU9ZI
UT WOS:000445715400064
DA 2025-01-10
ER

PT J
AU Stevens, N
   Archibald, SA
   Bond, WJ
AF Stevens, Nicola
   Archibald, Sally A.
   Bond, William J.
TI Transplant Experiments Point to Fire Regime as Limiting Savanna Tree
   Distribution
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE species distribution; range limits; savanna; range shifts; transplant;
   grass competition; Colophospermum mopane; Senegalia nigrescens
ID SPECIES RANGE; CLIMATE-CHANGE; AFRICAN; DETERMINANTS; COMPETITION;
   DEMOGRAPHY; DIVERSITY; GROWTH; MANIPULATION; POPULATION
AB Plant species range shifts are predicted to occur in response to climate change. The predictions are often based on the assumption that climate is the primary factor limiting the distribution of species. However the distribution of grassy biomes in Africa cannot be predicted by climate alone, instead interactions between vegetation, climate and disturbance structure the ecosystems. To test if climatic variables, as predicted by an environmental niche model, determine the distribution limits of two common savanna tree species we established a transplant experiment at a range of latitudes and altitudes much broader than the distribution limits of our study species. We planted seedlings of two common savanna trees, Senegalia nigrescens and Colophospermum mopane, at eight paired high and low elevation sites across an 850 km latitudinal gradient in South African savannas. At each site seedlings were planted in both grassy and cleared plots. After 2 years of growth, rainfall, temperature and location inside or outside their distribution range did not explain species success. Grass competition was the only variable that significantly affected plant growth rates across all sites, but grass competition alone could not explain the distribution limit. Species distributions were best predicted when maximum tree growth rates were considered in relation to local fire return intervals. The probability of sapling escape from the fire trap was the most likely determinant of distribution limits of these two species. As trees grew and survived 100 s of kilometers south of their current range limits we conclude that climate alone does not explain the current distribution of these trees, and that climate change adaptation strategies for savanna environments based only on climatic envelope modeling will be inappropriate.
C1 [Stevens, Nicola] Stellenbosch Univ, Dept Bot & Zool, Global Change & Biodivers Grp, Stellenbosch, South Africa.
   [Archibald, Sally A.] Univ Witwatersrand, Sch Anim Plant & Environm Sci, Johannesburg, South Africa.
   [Bond, William J.] Univ Cape Town, Dept Biol Sci, Cape Town, South Africa.
   [Bond, William J.] Fynbos Node, South African Environm Observat Network, Cape Town, South Africa.
C3 Stellenbosch University; University of Witwatersrand; University of Cape
   Town; National Research Foundation - South Africa; South African
   Environmental Observation Network (SAEON)
RP Stevens, N (corresponding author), Stellenbosch Univ, Dept Bot & Zool, Global Change & Biodivers Grp, Stellenbosch, South Africa.
EM nicolastvns@gmail.com
RI Bond, William/AAY-7631-2020; Stevens, Nicola/I-3004-2019; Potgieter,
   Salome/ACT-4700-2022; Archibald, Sally/O-1659-2015
OI Archibald, Sally/0000-0003-2786-3976; Stevens,
   Nicola/0000-0002-0693-8409
FU Andrew Mellon foundation; CSIR Land Atmosphere feedback Parliamentary
   Grant; fund for Spatial Planning for Protected Areas in Response to
   Climate Change (SPARC, Conservation International); NRF Thuthuka
FX Funding was received from the Andrew Mellon foundation, NRF Thuthuka,
   CSIR Land Atmosphere feedback Parliamentary Grant and the fund for
   Spatial Planning for Protected Areas in Response to Climate Change
   (SPARC, Conservation International).
CR [Anonymous], 1978, An Introduction to Population Ecology
   [Anonymous], 2016, PNAS
   [Anonymous], 2009, R package version
   [Anonymous], 2003, The Structure and Dynamics of Geographic Ranges
   [Anonymous], 1987, Climate and plant distributionM
   [Anonymous], 2007, South African Atlas of Climatology and Agrohydrology
   Araújo MB, 2007, GLOBAL ECOL BIOGEOGR, V16, P743, DOI 10.1111/j.1466-8238.2007.00359.x
   Araújo MB, 2012, ECOLOGY, V93, P1527, DOI 10.1890/11-1930.1
   Archibald S, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0346
   Archibald S, 2016, PHILOS T R SOC B, V371, DOI 10.1098/rstb.2015.0309
   Archibald S, 2013, P NATL ACAD SCI USA, V110, P6442, DOI 10.1073/pnas.1211466110
   Archibald S, 2009, GLOBAL CHANGE BIOL, V15, P613, DOI 10.1111/j.1365-2486.2008.01754.x
   Asner GP, 2009, P NATL ACAD SCI USA, V106, P4947, DOI 10.1073/pnas.0810637106
   Augustine DJ, 2004, J APPL ECOL, V41, P45, DOI 10.1111/j.1365-2664.2004.00864.x
   Blach-Overgaard A, 2010, ECOGRAPHY, V33, P380, DOI 10.1111/j.1600-0587.2010.06273.x
   Bocksberger G, 2016, J VEG SCI, V27, P306, DOI 10.1111/jvs.12360
   Bond WJ, 2012, AUSTRAL ECOL, V37, P678, DOI 10.1111/j.1442-9993.2011.02343.x
   Bond WJ, 2008, ANNU REV ECOL EVOL S, V39, P641, DOI 10.1146/annurev.ecolsys.39.110707.173411
   Bond WJ, 2001, AFR J ECOL, V39, P286, DOI 10.1046/j.1365-2028.2001.00319.x
   Bond WJ, 2005, NEW PHYTOL, V165, P525, DOI 10.1111/j.1469-8137.2004.01252.x
   Botha S, 2006, THESIS
   Burke A, 2006, FLORA, V201, P189, DOI 10.1016/j.flora.2005.06.011
   Charles-Dominique T, 2017, J VEG SCI, V28, P728, DOI 10.1111/jvs.12528
   Chase JM., 2003, Ecological niches: linking classical and contemporary approaches
   Chen IC, 2011, SCIENCE, V333, P1024, DOI 10.1126/science.1206432
   Cramer MD, 2007, J ECOL, V95, P1123, DOI 10.1111/j.1365-2745.2007.01285.x
   Davis AJ, 1998, NATURE, V391, P783, DOI 10.1038/35842
   Elith J, 2009, ANNU REV ECOL EVOL S, V40, P677, DOI 10.1146/annurev.ecolsys.110308.120159
   Ellis EC, 2011, PHILOS T R SOC A, V369, P1010, DOI 10.1098/rsta.2010.0331
   February EC, 2013, ECOLOGY, V94, P1155, DOI 10.1890/12-0540.1
   Grant R., 2001, Sappi tree spotting: Lowveld, including Kruger National Park: tree identification made easy
   Hargreaves AL, 2014, AM NAT, V183, P157, DOI 10.1086/674525
   Hempson GP, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-17348-4
   HENNING A C, 1974, Proceedings Grassland Society of Southern Africa, V9, P53
   Heubes J, 2011, J BIOGEOGR, V38, P2248, DOI 10.1111/j.1365-2699.2011.02560.x
   Higgins SI, 2000, J ECOL, V88, P213, DOI 10.1046/j.1365-2745.2000.00435.x
   Higgins SI, 2007, ECOLOGY, V88, P1119, DOI 10.1890/06-1664
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Holdo RM, 2007, ECOL APPL, V17, P558, DOI 10.1890/05-1990
   Holdridge L. R., 1967, Life zone ecology.
   HUTCHINSON GE, 1957, COLD SPRING HARB SYM, V22, P415, DOI 10.1101/SQB.1957.022.01.039
   JOHNSON EA, 1994, ADV ECOL RES, V25, P239, DOI 10.1016/S0065-2504(08)60216-0
   Jolly WM, 2005, GLOBAL CHANGE BIOL, V11, P619, DOI 10.1111/j.1365-2486.2005.00930.x
   Körner C, 2010, SCIENCE, V327, P1461, DOI 10.1126/science.1186473
   Lee-Yaw JA, 2016, ECOL LETT, V19, P710, DOI 10.1111/ele.12604
   Lehmann CER, 2014, SCIENCE, V343, P548, DOI 10.1126/science.1247355
   Lenoir J, 2008, SCIENCE, V320, P1768, DOI 10.1126/science.1156831
   Makhado RA, 2014, BOTHALIA, V44, DOI [10.4102/abc.v44i1.152, 10.4102/ABC.V44I1.152]
   Mapaure I., 1994, Kirkia, V15, P1
   Midgley JJ, 2010, AUST J BOT, V58, P1, DOI 10.1071/BT09034
   Midgley JJ, 2001, J TROP ECOL, V17, P871, DOI 10.1017/S026646740100164X
   MILLER MF, 1994, J TROP ECOL, V10, P183, DOI 10.1017/S0266467400007835
   Mlambo D., 2004, Southern African Forestry Journal, P45
   O'Connor T. G., 1997, P215
   O'Connor TG, 2001, J ECOL, V89, P850, DOI 10.1046/j.0022-0477.2001.00605.x
   Parmesan C, 2003, NATURE, V421, P37, DOI 10.1038/nature01286
   Pausas JG, 2017, GLOBAL ECOL BIOGEOGR, V26, P889, DOI 10.1111/geb.12596
   PRINS HHT, 1993, J ECOL, V81, P305, DOI 10.2307/2261500
   R Core Team, 2018, R: A language and environment for statistical computing
   Riginos C, 2009, ECOLOGY, V90, P335, DOI 10.1890/08-0462.1
   Root TL, 2003, NATURE, V421, P57, DOI 10.1038/nature01333
   Scheffers BR, 2016, SCIENCE, V354, DOI 10.1126/science.aaf7671
   Scholtz R, 2014, ECOSPHERE, V5, DOI 10.1890/ES14-00034.1
   Sexton JP, 2009, ANNU REV ECOL EVOL S, V40, P415, DOI 10.1146/annurev.ecolsys.110308.120317
   Smith A, 2012, ECOSPHERE, V3, DOI 10.1890/ES12-00053.1
   Staver AC, 2012, ECOL LETT, V15, P673, DOI 10.1111/j.1461-0248.2012.01784.x
   Staver AC, 2011, SCIENCE, V334, P230, DOI 10.1126/science.1210465
   Staver AC, 2009, ECOL APPL, V19, P1909, DOI 10.1890/08-1907.1
   Stevens N., 2014, THESIS
   Stevens N, 2014, OECOLOGIA, V175, P1029, DOI 10.1007/s00442-014-2958-y
   Stevens N, 2014, J VEG SCI, V25, P363, DOI 10.1111/jvs.12098
   Styles CV, 1997, AFR J ECOL, V35, P254
   Svenning JC, 2007, ECOL LETT, V10, P453, DOI 10.1111/j.1461-0248.2007.01038.x
   Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121
   Thomas CD, 2010, DIVERS DISTRIB, V16, P488, DOI 10.1111/j.1472-4642.2010.00642.x
   Timberlake J. R., 1995, Colophospermum mopane. Annotated bibliography and review
   TRAPNELL CG, 1959, J ECOL, V47, P129, DOI 10.2307/2257252
   Trollope W. S. W., 1986, Journal of the Grassland Society of Southern Africa, V3, P148
   Van der Plas F, 2013, J VEG SCI, V24, P227, DOI 10.1111/j.1654-1103.2012.01459.x
   Villoen L, 2003, S AFR J BOT, V69, P282, DOI 10.1016/S0254-6299(15)30314-8
   Wakeling JL, 2012, J ECOL, V100, P381, DOI 10.1111/j.1365-2745.2011.01921.x
   Wakeling JL, 2011, OIKOS, V120, P1448, DOI 10.1111/j.1600-0706.2011.19957.x
   Werner PA, 2013, ECOL MONOGR, V83, P67, DOI 10.1890/12-1153.1
   Whitecross MA, 2012, S AFR J BOT, V83, P9, DOI 10.1016/j.sajb.2012.07.008
   Whittaker R.H., 1970, Communities and ecosystems
NR 85
TC 12
Z9 13
U1 3
U2 23
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PD SEP 18
PY 2018
VL 6
AR 137
DI 10.3389/fevo.2018.00137
PG 13
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HC6II
UT WOS:000451905000001
OA gold
DA 2025-01-10
ER

PT C
AU Ghofrani, Z
   Sposito, V
   Faggian, R
AF Ghofrani, Z.
   Sposito, V.
   Faggian, R.
BE GalianoGarrigos, A
   Brebbia, CA
TI Designing resilient regions by applying Blue- Green Infrastructure
   concepts
SO SUSTAINABLE CITY XI
SE WIT Transactions on Ecology and the Environment
LA English
DT Proceedings Paper
CT 11th International Conference on Urban Regeneration and Sustainability
   (SC)
CY 2016
CL Alicante, SPAIN
SP Wessex Inst, Univ Alicante, WIT Transact Ecol & Environm, Int Journal Sustainable Dev & Planning, Int Journal Design & Nat & Ecodynam
DE sustainable region; climate change adaptation; Blue-Green
   Infrastructure; disaster management
ID MANAGEMENT; RETROFITS; AREAS
AB In Australia, weather extremes (droughts and floods) are an accepted component of coupled human-environment systems. Australia is the driest inhabited continent on earth and also has the greatest annual rainfall and run-off variability. Competition for water between the environment, agriculture and domestic uses is intense and the cause of much public debate. It is not unusual for parts of Australia to transition quickly from a state of extreme water scarcity to one of severe flooding. In fact, floods cause more damage in Australia than any other natural disaster. Climate change will exacerbate the situation through increased frequency and intensity of heavy rainfall events and also more intense and longer-lasting droughts. The combination of drought followed by intense rainfall increases the risk of severe flooding, with impacts on civil infrastructure (road and bridge washouts, damage to houses), and impacts on agriculture (soil erosion and destruction of crops and livestock).
   Structural flood mitigation activities in Australia, such as the construction of levees, was initially driven by private landholders. These measures were often not well planned or integrated at larger scales and therefore have been viewed with some suspicion. More recently, non-structural (land planning, emergency management) approaches have become the key flood mitigation measure. In contrast, The Netherlands takes a structural approach through concepts like Blue-Green Infrastructure (BGI), with the aim of "giving the flood a pathway". In this context, structural interventions in the landscape provide alternative pathways for flood water, slowing the waters progress such that flood damage is mitigated. Our research focuses on the feasibility of implementing BGI in Australia, considering the costs and benefits in terms of the biophysical environment, infrastructure and socioeconomic systems, in order to increase the resilience of rural and regional communities. The research will inform strategic and statutory planning at the regional level.
C1 [Ghofrani, Z.; Sposito, V.; Faggian, R.] Deakin Univ, Ctr Reg & Rural Futures CeRRF, Geelong, Vic, Australia.
C3 Deakin University
RP Ghofrani, Z (corresponding author), Deakin Univ, Ctr Reg & Rural Futures CeRRF, Geelong, Vic, Australia.
CR [Anonymous], CLIMATE CHANGE QUEEN
   [Anonymous], 2002, CLIMATE CHANGE VICTO
   [Anonymous], WATER SCI TECHNOLOGY
   [Anonymous], WATER SCI TECHNOLOGY
   [Anonymous], REGIONAL FLOOD ESTIM
   [Anonymous], 1911, The Closed Door and Other Verses
   [Anonymous], J FLOOD RISK MANAGEM
   [Anonymous], 2004, CLIMATE CHANGE NEW 2
   [Anonymous], 2013, LIVING FLOODS KEY LE
   [Anonymous], CLIMATE CHANGE IMPAC
   [Anonymous], BLUE GREEN INFRASTRU
   [Anonymous], 2004, P STAYING AFL FLOODP
   [Anonymous], 2008, IPCC TECHNICAL PAPER
   Barros V, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, pIX
   Correia FN, 1999, WATER RESOUR MANAG, V13, P23, DOI 10.1023/A:1008045419517
   Falkenmark M, 2006, J WATER RES PL-ASCE, V132, P129, DOI 10.1061/(ASCE)0733-9496(2006)132:3(129)
   Fletcher TD, 2013, ADV WATER RESOUR, V51, P261, DOI 10.1016/j.advwatres.2012.09.001
   Fryd O, 2013, WATER SCI TECHNOL, V67, P1945, DOI 10.2166/wst.2013.073
   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
   Gentle N., 2001, Australian Journal of Emergency Management, The, V16, P38
   Ghanbarpour MR, 2013, J FLOOD RISK MANAG, V6, P319, DOI 10.1111/jfr3.12017
   Hamel P, 2013, J HYDROL, V485, P201, DOI 10.1016/j.jhydrol.2013.01.001
   Lawson E., 2014, Flood Recovery, Innovation and Response IV, V184, P113, DOI [DOI 10.2495/FRIAR140101, 10.2495/FRIAR140101, 10.2495/friar140101]
   Leary N., 2012, Climate change and adaptation
   Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progress.2003.09.002
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Middlemann M.H., 2007, Natural hazards in Australia. Identifying risk analysis requirements
   Preston B L., 2006, Climate change impacts on Australia and the benefits of early action to reduce global greenhouse gas emissions
   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
   te Brömmelstroet M, 2013, COMPUT ENVIRON URBAN, V41, P299, DOI 10.1016/j.compenvurbsys.2012.07.004
   Villarreal EL, 2004, ECOL ENG, V22, P279, DOI 10.1016/j.ecoleng.2004.06.007
   Voskamp IM, 2015, BUILD ENVIRON, V83, P159, DOI 10.1016/j.buildenv.2014.07.018
NR 35
TC 9
Z9 9
U1 4
U2 45
PU WIT PRESS
PI SOUTHAMPTON
PA ASHURST LODGE, SOUTHAMPTON SO40 7AA, ASHURST, ENGLAND
SN 1746-448X
BN 978-1-78466-104-5; 978-1-78466-103-8
J9 WIT TRANS ECOL ENVIR
JI WIT Trans. Ecol. Environ.
PY 2016
VL 204
BP 493
EP 505
DI 10.2495/SC160421
PG 13
WC Green & Sustainable Science & Technology; Ecology; Environmental
   Sciences; Urban Studies
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology;
   Urban Studies
GA BL4MG
UT WOS:000450565500042
OA Bronze
DA 2025-01-10
ER

PT J
AU Pittelkow, CM
   Liang, XQ
   Linquist, BA
   van Groenigen, KJ
   Lee, J
   Lundy, ME
   van Gestel, N
   Six, J
   Venterea, RT
   van Kessel, C
AF Pittelkow, Cameron M.
   Liang, Xinqiang
   Linquist, Bruce A.
   van Groenigen, Kees Jan
   Lee, Juhwan
   Lundy, Mark E.
   van Gestel, Natasja
   Six, Johan
   Venterea, Rodney T.
   van Kessel, Chris
TI Productivity limits and potentials of the principles of conservation
   agriculture
SO NATURE
LA English
DT Article
ID FOOD SECURITY; METAANALYSIS; AFRICA; IMPACT; MAIZE; YIELD
AB One of the primary challenges of our time is to feed a growing and more demanding world population with reduced external inputs and minimal environmental impacts, all under more variable and extreme climate conditions in the future(1-4). Conservation agriculture represents a set of three crop management principles that has received strong international support to help address this challenge(5,6), with recent conservation agriculture efforts focusing on smallholder farming systems in sub-Saharan Africa and South Asia(7). However, conservation agriculture is highly debated, with respect to both its effects on crop yields(8-10) and its applicability in different farming contexts(7,11-13). Here we conduct a global meta-analysis using 5,463 paired yield observations from 610 studies to compare no-till, the original and central concept of conservation agriculture, with conventional tillage practices across 48 crops and 63 countries. Overall, our results show that no-till reduces yields, yet this response is variable and under certain conditions no-till can produce equivalent or greater yields than conventional tillage. Importantly, when no-till is combined with the other two conservation agriculture principles of residue retention and crop rotation, its negative impacts are minimized. Moreover, no-till in combination with the other two principles significantly increases rainfed crop productivity in dry climates, suggesting that it may become an important climate-change adaptation strategy for ever-drier regions of the world. However, any expansion of conservation agriculture should be done with caution in these areas, as implementation of the other two principles is often challenging in resource-poor and vulnerable smallholder farming systems, thereby increasing the likelihood of yield losses rather than gains. Although farming systems are multifunctional, and environmental and socio-economic factors need to be considered(14-16), our analysis indicates that the potential contribution of no-till to the sustainable intensification of agriculture is more limited than often assumed.
C1 [Pittelkow, Cameron M.; Linquist, Bruce A.; Lundy, Mark E.; van Kessel, Chris] Univ Calif Davis, Dept Plant Sci, Davis, CA 95616 USA.
   [Liang, Xinqiang] Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China.
   [van Groenigen, Kees Jan; van Gestel, Natasja] No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA.
   [Lee, Juhwan; Six, Johan] ETH, Dept Environm Syst Sci, Swiss Fed Inst Technol, CH-8092 Zurich, Switzerland.
   [Venterea, Rodney T.] ARS, USDA, Soil & Water Management Unit, St Paul, MN 55108 USA.
   [Venterea, Rodney T.] Univ Minnesota, Dept Soil Water & Climate, St Paul, MN 55108 USA.
C3 University of California System; University of California Davis;
   Zhejiang University; Northern Arizona University; Swiss Federal
   Institutes of Technology Domain; ETH Zurich; United States Department of
   Agriculture (USDA); University of Minnesota System; University of
   Minnesota Twin Cities
RP Pittelkow, CM (corresponding author), Univ Illinois, Dept Crop Sci, Urbana, IL 61801 USA.
EM cmpitt@illinois.edu
RI six, johan/J-5228-2015; Venterea, Rodney/A-3930-2009; van groenigen,
   kees jan/Q-7081-2018
OI six, johan/0000-0001-9336-4185; Lee, Juhwan/0000-0002-7967-2955;
   Pittelkow, Cameron/0000-0001-8654-9552; van groenigen, kees
   jan/0000-0002-9165-3925; Venterea, Rodney/0000-0002-9003-2318; Lundy,
   Mark/0000-0003-4043-0841
FU National Key Science and Technology Project of China [2014ZX07101-012]
FX We are grateful to the National Key Science and Technology Project of
   China for supporting X.Q.L. with grant number 2014ZX07101-012.
CR Adams DC, 1997, ECOLOGY, V78, P1277, DOI 10.1890/0012-9658(1997)078[1277:RTFMAO]2.0.CO;2
   Andersson J A., 2012, Contested agronomy: Agricultural research in a changing world, P22
   [Anonymous], CLIM DYN IN PRESS
   [Anonymous], 2011, Mapping supply and demand for animal-source foods to 2030, P1
   Brouder SM, 2014, AGR ECOSYST ENVIRON, V187, P11, DOI 10.1016/j.agee.2013.08.010
   Canty A., 2014, BOOT BOOTSTRAP R S P
   Corbeels M, 2014, AGR ECOSYST ENVIRON, V187, P155, DOI 10.1016/j.agee.2013.10.011
   Dai AG, 2013, NAT CLIM CHANGE, V3, P52, DOI [10.1038/NCLIMATE1633, 10.1038/nclimate1633]
   Erenstein O, 2002, SOIL TILL RES, V67, P115, DOI 10.1016/S0167-1987(02)00062-4
   Erenstein O, 2012, J SUSTAIN AGR, V36, P180, DOI 10.1080/10440046.2011.620230
   Farooq M, 2011, SOIL TILL RES, V117, P172, DOI 10.1016/j.still.2011.10.001
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Friedrich T., 2012, Field Actions Science Reports
   Giller KE, 2011, FIELD CROP RES, V124, P468, DOI 10.1016/j.fcr.2011.04.010
   Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017
   Godfray HCJ, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0273
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Govaerts B, 2009, CRIT REV PLANT SCI, V28, P97, DOI 10.1080/07352680902776358
   Grassini P, 2012, P NATL ACAD SCI USA, V109, P1074, DOI 10.1073/pnas.1116364109
   Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hobbs PR, 2008, PHILOS T R SOC B, V363, P543, DOI 10.1098/rstb.2007.2169
   Lobell DB, 2008, SCIENCE, V319, P607, DOI 10.1126/science.1152339
   Palm C, 2014, AGR ECOSYST ENVIRON, V187, P87, DOI 10.1016/j.agee.2013.10.010
   Raats M. M., 1992, Food Quality and Preference, V3, P89, DOI 10.1016/0950-3293(91)90028-D
   Rusinamhodzi L, 2011, AGRON SUSTAIN DEV, V31, P657, DOI 10.1007/s13593-011-0040-2
   Sachs J, 2010, NATURE, V466, P558, DOI 10.1038/466558a
   Serraj R, 2012, FIELD CROP RES, V132, P1, DOI 10.1016/j.fcr.2012.03.002
   Stevenson JR, 2014, AGR ECOSYST ENVIRON, V187, P1, DOI 10.1016/j.agee.2014.01.018
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   UNEP, 1997, World atlas of desertification, VSecond
NR 31
TC 990
Z9 1090
U1 63
U2 1405
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 0028-0836
EI 1476-4687
J9 NATURE
JI Nature
PD JAN 15
PY 2015
VL 517
IS 7534
BP 365
EP U482
DI 10.1038/nature13809
PG 6
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA AY8NK
UT WOS:000347810300045
PM 25337882
HC Y
HP N
DA 2025-01-10
ER

PT C
AU Hettiarachchi, SSL
   Weeresinghe, S
AF Hettiarachchi, S. S. L.
   Weeresinghe, S.
BE Amaratunga, D
   Haigh, R
TI Achieving Disaster Resilience through the Sri Lankan Early Warning
   system: Good practises of Disaster Risk Reduction and Management
SO 4TH INTERNATIONAL CONFERENCE ON BUILDING RESILIENCE, INCORPORATING THE
   3RD ANNUAL CONFERENCE OF THE ANDROID DISASTER RESILIENCE NETWORK
SE Procedia Economics and Finance
LA English
DT Proceedings Paper
CT 4th International Conference on Building Resilience, Building Resilience
CY SEP 08-11, 2014
CL Univ Colombo, ENGLAND
SP Univ Salford, Sch Built Environm, Ctr Disaster Resilience, Univ Huddersfield, Global Disaster Resilience Ctr, ANDROID Disaster Resilience Network, Royal Melbourne Inst Technol Univ, Australia & Queensland Univ Technol, Univ Moratuwa, Univ Peradeniya, United Nat Dev Programme Sri Lanka, Minist Disaster Management, Disaster Management Ctr, Cent Environm Author, Minist Environm, Chamber Construct Ind Sri Lanka
HO Univ Colombo
DE Disaster Risk Reduction; Disaster Resilience; Preparedness; Early
   warning dissemination; Governance
AB A case study report of the good practices of the Sri Lankan Early Warning System (EWS) was prepared for the ANDROID Disaster Resilience Network funded by the EU Lifelong Learning Programme. The objective was to highlight good practices, identify gaps and useful recommendations (within an up-to-date and comprehensive context) to achieve disaster resilient governance. The EWS components; Infrastructure, Risk Knowledge (i.e. Hazard, Vulnerability and Risk Assessment), Preparedness and Early Warning Dissemination, Disaster Response and Coordination were scrutinised. These components were compared against the exemplary structure of a people-centred EWS to assess its efficacy in achieving disaster resilience. Since the 2004 Indian Ocean Tsunami was the first contemporary large-scale disaster faced by Sri Lanka, it lacked the legislative framework and institutional capacity to respond and only thereafter the integration of Disaster Risk Reduction (DRR) was observed. The importance of training was demonstrated within risk knowledge, preparedness and early warning dissemination, and disaster response and coordination. Thereby training is considered crucial in achieving a progressive, people-centred EWS. However it can be consolidated through joint resource utilisation (particularly personnel) between organisations and creating a Continuing Professional Development (CPD) certification system. There has been considerable progress in integrating DRR into development at all levels, which is a key measure in achieving disaster resilience. It was notably observed in achieving disaster resilient development, climate change adaptation and DRR was integrated despite a general tendency to be polarised in other areas. Despite some existing projects there is a need for greater government and private sector engagement in ecosystem-based DRR. Finally to achieve a disaster resilient Sri Lankan EWS, risk transfer measures require further evaluation. The emergence of some disaster risk financing and insurance is observed but issues, such as assuring applicability to a local context and scientific, evidence-based underpinning, need to be addressed. (C) 2014 The Authors. Published by Elsevier B. V.
C1 [Hettiarachchi, S. S. L.; Weeresinghe, S.] Univ Moratuwa, Dept Civil Engn, Moratuwa, Sri Lanka.
C3 University Moratuwa
RP Weeresinghe, S (corresponding author), Univ Moratuwa, Dept Civil Engn, Moratuwa, Sri Lanka.
EM shayani_w@outlook.com
CR ADPC & DMC, 2009, MAINSTR DIS RISK RED
   ADPC DMC & UDA, 2009, INT HAZ RISK INF KAN
   [Anonymous], E SO AFR LION WORKSH
   Chandraratne Gothami, 2013, COMMUNICATION
   Climate Change Secretariat (CCS), 2010, NAT CLIM CHANG AD ST
   Disaster Management Centre (DMC) Ministry of Disaster Management, 2009, NEWSL AW PREP 2 QUAR
   Disaster Management Centre (DMC) Ministry of Disaster Management Government of Sri Lanka, 2006, SAF SRI LANK ROAD MA, P1
   Ministry of Disaster Management Government of Sri Lanka, 2013, NAT POL DIS IN PRESS
   Ranasinghe, 2011, INT C BUILD RES INT
   Sugathapala Kishan, 2013, COMMUNICATION
   The United Nations Development Programme Regional Centre (UNDP), 2007, UNDP SUPP I LEG SYST
   UN-HABITAT, 2011, CLIM RES ACT PLANS C
   UN-HABITAT, 2012, UN HABITAT DIS RES C
   UNESCAP, 2009, TSUN EARL WARN SYST
   United Nations Disaster Assessment and Coordination (UNDAC), 2011, DIS RESP PREP ASS MI, P1
NR 15
TC 6
Z9 6
U1 1
U2 16
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-5671
J9 PROC ECON FINANC
PY 2014
VL 18
BP 789
EP 794
DI 10.1016/S2212-5671(14)01003-X
PG 6
WC Business, Finance; Economics
WE Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Business & Economics
GA BD2DX
UT WOS:000358678400098
OA gold
DA 2025-01-10
ER

PT B
AU Alves, O
   Hudson, D
   Balmaseda, M
   Shi, L
AF Alves, Oscar
   Hudson, Debra
   Balmaseda, Magdalena
   Shi, Li
BE Schiller, A
   Brassington, GB
TI Seasonal and Decadal Prediction
SO OPERATIONAL OCEANOGRAPHY IN THE 21ST CENTURY
LA English
DT Article; Book Chapter
ID ATMOSPHERE COUPLING EXPERIMENT; SEA-SURFACE TEMPERATURES; INDIAN-OCEAN;
   DATA ASSIMILATION; NORTH-ATLANTIC; LARGE ENSEMBLE; DIPOLE MODE; CLIMATE;
   IMPACT; INITIALIZATION
AB Dynamical seasonal prediction has grown rapidly over the last decade or so. At present, a number of operational centres issue routine seasonal forecasts produced with coupled ocean-atmosphere models. These require real-time knowledge of the state of the global ocean since the potential for climate predictability at seasonal time scales resides mostly in information provided by the ocean initial conditions, in particular the upper thermal structure. The primary aim of the coupled model is to predict sea surface temperature variability and how this variability impacts regional climate through large scale teleconnections.
   This paper reviews recent advances in dynamical seasonal prediction using coupled ocean-atmosphere models. It discusses the sources of predictability at seasonal time scales, the probabilistic nature of seasonal forecasts, the ensemble methods used to deal with it, and the current levels of skill. The ocean initialisation receives special focus, with a discussion on initialisation strategies, ocean data assimilation methods, and the role of the observing system in seasonal forecast skill.
   Assimilation of observations into an ocean model forced by prescribed atmospheric fluxes is the most common practice for initialisation of the ocean component of a coupled model. Assimilation of ocean data reduces the uncertainty in the ocean estimation arising from the uncertainty in the forcing fluxes and from model errors. Although data assimilation also usually improves the skill of seasonal forecasts, its impact is often overshadowed by errors in the coupled models.
   The paper also briefly discusses decadal prediction, for which there is growing demand, particularly in the context of climate change adaptation. Although decadal prediction is still in its infancy, recent development shows promising results, highlighting the role of ocean initial conditions. The initialisation of the ocean for decadal predictions is a major challenge for the next decade.
C1 [Alves, Oscar] Bur Meteorol, Ctr Australian Weather & Climate Res CAWCR, Melbourne, Vic 3001, Australia.
C3 Bureau of Meteorology - Australia
RP Alves, O (corresponding author), Bur Meteorol, Ctr Australian Weather & Climate Res CAWCR, GPO Box 1289, Melbourne, Vic 3001, Australia.
EM o.alves@bom.gov.au
RI Balmaseda, Magdalena/HSD-9229-2023
OI Hudson, Debra/0000-0002-0129-0922; Alonso Balmaseda,
   Magdalena/0000-0002-9611-8788
CR Alves O, 2005, Q J ROY METEOR SOC, V131, P3643, DOI 10.1256/qj.05.113
   Alves O, 2004, Q J ROY METEOR SOC, V130, P647, DOI 10.1256/qj.03.25
   ALVES O, 2003, POAMA BUREAU METEORO
   [Anonymous], CLIM DYNAM, DOI DOI 10.1007/S00382-010-0763-9
   Baldwin MP, 2001, SCIENCE, V294, P581, DOI 10.1126/science.1063315
   Balmaseda M, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2007GL030452
   Balmaseda M, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL035561
   BALMASEDA MA, 2006, CLIVAR GODAE M OC SY
   BALMASEDA MA, 2010, ESA PUBLICATION WPP, V306
   BALMASEDA MA, 2010, PLENARY PAPER OCEANO
   Balmaseda MA, 2008, MON WEATHER REV, V136, P3018, DOI 10.1175/2008MWR2433.1
   Balmaseda MA, 2009, OCEANOGRAPHY, V22, P154, DOI 10.5670/oceanog.2009.73
   BEHRINGER DW, 2007, AMS 87 ANN M SAN ANT, P12
   Bell CJ, 2009, J CLIMATE, V22, P4083, DOI 10.1175/2009JCLI2717.1
   Berner J, 2008, PHILOS T R SOC A, V366, P2561, DOI 10.1098/rsta.2008.0033
   BJERKNES J, 1969, MON WEATHER REV, V97, P163, DOI 10.1175/1520-0493(1969)097<0163:ATFTEP>2.3.CO;2
   Bonjean F, 2002, J PHYS OCEANOGR, V32, P2938, DOI 10.1175/1520-0485(2002)032<2938:DMAAOT>2.0.CO;2
   Burgers G, 2002, J PHYS OCEANOGR, V32, P2509, DOI 10.1175/1520-0485-32.9.2509
   Cagnazzo C, 2009, J CLIMATE, V22, P1223, DOI 10.1175/2008JCLI2549.1
   Cazes-Boezio G, 2008, J CLIMATE, V21, P1929, DOI 10.1175/2007JCLI1574.1
   Chambers L.E., 1999, AMOS B, V12, P51
   Chang P, 2006, J CLIMATE, V19, P5122, DOI 10.1175/JCLI3903.1
   Collins M, 2006, CLIM DYNAM, V27, P127, DOI 10.1007/s00382-006-0121-0
   Doblas-Reyes FJ, 2009, Q J ROY METEOR SOC, V135, P1538, DOI 10.1002/qj.464
   Dommenget D, 2004, J CLIMATE, V17, P4301, DOI 10.1175/3211.1
   Fennessy MJ, 1999, J CLIMATE, V12, P3167, DOI 10.1175/1520-0442(1999)012<3167:IOISWO>2.0.CO;2
   Fletcher CG, 2009, J CLIMATE, V22, P1208, DOI [10.1175/2008JCLI2505.1, 10.1175/2008JCL12505.1]
   Folland CK, 2001, J CLIMATE, V14, P1937, DOI 10.1175/1520-0442(2001)014<1937:PONBRA>2.0.CO;2
   FUJII Y, 2011, ADV GEOSCI IN PRESS
   Goddard L, 1999, J GEOPHYS RES-ATMOS, V104, P19099, DOI 10.1029/1999JD900326
   HENDON HH, 2009, GEOPHYS RES LETT, DOI DOI 10.1029/2009G6040100
   HURRELL J, 2010, ESA PUBLICATION WPP, V306
   Ineson S, 2009, NAT GEOSCI, V2, P32, DOI 10.1038/NGEO381
   Jin EK, 2008, CLIM DYNAM, V31, P647, DOI 10.1007/s00382-008-0397-3
   Jin FF, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL027372
   Keenlyside NS, 2008, NATURE, V453, P84, DOI 10.1038/nature06921
   Keppenne CL, 2008, MON WEATHER REV, V136, P2964, DOI 10.1175/2007MWR2243.1
   Kirtman B, 2009, B AM METEOROL SOC, V90, P455, DOI 10.1175/2008BAMS2707.1
   Knight JR, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL024233
   Koster RD, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2009GL041677
   Koster RD, 2006, J HYDROMETEOROL, V7, P590, DOI 10.1175/JHM510.1
   Koster RD, 2004, J HYDROMETEOROL, V5, P1049, DOI 10.1175/JHM-387.1
   Koster RD, 2003, J HYDROMETEOROL, V4, P408, DOI 10.1175/1525-7541(2003)4<408:IOLSIO>2.0.CO;2
   Kushnir Y, 2006, J CLIMATE, V19, P5949, DOI 10.1175/JCLI3943.1
   Lim EP, 2009, MON WEATHER REV, V137, P3796, DOI 10.1175/2009MWR2904.1
   Luo JJ, 2007, J CLIMATE, V20, P2178, DOI 10.1175/JCLI4132.1
   Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2
   Marshall AG, 2009, J GEOPHYS RES-ATMOS, V114, DOI 10.1029/2009JD011737
   Martin AJ, 2007, Q J ROY METEOR SOC, V133, P981, DOI 10.1002/qj.74
   MASON SJ, 2008, NATO SCI SERIES, P467
   Maycock AC, 2011, CLIM DYNAM, V36, P309, DOI 10.1007/s00382-009-0665-x
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Neelin JD, 1998, J GEOPHYS RES-OCEANS, V103, P14261, DOI 10.1029/97JC03424
   Oke PR, 2005, Q J ROY METEOR SOC, V131, P3301, DOI 10.1256/qj.05.95
   Palmer TN, 2004, B AM METEOROL SOC, V85, P853, DOI 10.1175/BAMS-85-6-853
   Pham DT, 1998, J MARINE SYST, V16, P323
   PHILANDER SG, 2004, OUR AFFAIR EL NINO, P275
   Pohlmann H, 2009, J CLIMATE, V22, P3926, DOI 10.1175/2009JCLI2535.1
   Power S, 1999, CLIM DYNAM, V15, P319, DOI 10.1007/s003820050284
   RASMUSSON EM, 1983, MON WEATHER REV, V111, P517, DOI 10.1175/1520-0493(1983)111<0517:TRBEEP>2.0.CO;2
   Rodwell MJ, 2002, Q J ROY METEOR SOC, V128, P1413, DOI 10.1002/qj.200212858302
   ROPELEWSKI CF, 1987, MON WEATHER REV, V115, P1606, DOI 10.1175/1520-0493(1987)115<1606:GARSPP>2.0.CO;2
   Saji NH, 1999, NATURE, V401, P360, DOI 10.1038/43855
   Saji NH, 2003, CLIM RES, V25, P151, DOI 10.3354/cr025151
   Seneviratne SI, 2006, J HYDROMETEOROL, V7, P1090, DOI 10.1175/JHM533.1
   Shi L, 2009, J CLIMATE, V22, P2526, DOI 10.1175/2008JCLI2469.1
   Smith DM, 2007, SCIENCE, V317, P796, DOI 10.1126/science.1139540
   Spillman CM, 2009, CORAL REEFS, V28, P197, DOI 10.1007/s00338-008-0438-8
   Stainforth DA, 2005, NATURE, V433, P403, DOI 10.1038/nature03301
   STEPHENSON D, 2008, NATO SCI SERIES, P467
   Stockdale TN, 2006, J CLIMATE, V19, P6047, DOI 10.1175/JCLI3947.1
   Stockdale TN, 1997, MON WEATHER REV, V125, P809, DOI 10.1175/1520-0493(1997)125<0809:COAFIT>2.0.CO;2
   STOCKDALE TN, 2010, UNDERSTANDING PREDIC
   STOCKDALE TN, 2011, CLIM DYN IN PRESS
   Ummenhofer CC, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036801
   Usui N, 2006, ADV SPACE RES, V37, P806, DOI 10.1016/j.asr.2005.09.022
   Van der Linden P., 2009, ENSEMBLES; Climate change and its impacts: Summary ofresearch and results from the ENSEMBLES project, P160
   Vialard J, 2005, MON WEATHER REV, V133, P441, DOI 10.1175/MWR-2863.1
   Wajsowicz RC, 2007, J CLIMATE, V20, P3320, DOI 10.1175/JCLI4162.1
   Walker G.T., 1923, Mem. Indian Meteorol. Dep, V24, P75, DOI DOI 10.1175/1520-0493(1925)532.0.CO;2
   Walker G.T., 1924, MEM INDIAN METEOROL, V24, P275
   Wang B., 2008, Clim. Dyn, V3, P93, DOI [DOI 10.1007/S00382-008-0460-0, 10.1007/s00382-008-0460-0.]
   Wang G., 2008, BMRC RES LETT, V8, P2
   Webster PJ, 1999, NATURE, V401, P356, DOI 10.1038/43848
   Weisheimer A, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL040896
   Yin YH, 2011, MON WEATHER REV, V139, P786, DOI 10.1175/2010MWR3419.1
   ZEBIAK SE, 1987, MON WEATHER REV, V115, P2262, DOI 10.1175/1520-0493(1987)115<2262:AMENO>2.0.CO;2
   J CLIM
NR 88
TC 5
Z9 5
U1 0
U2 1
PU SPRINGER-VERLAG BERLIN
PI BERLIN
PA HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
BN 978-94-007-0331-5
PY 2011
BP 513
EP 542
DI 10.1007/978-94-007-0332-2_20
D2 10.1007/978-94-007-0332-2
PG 30
WC Meteorology & Atmospheric Sciences; Oceanography
WE Book Citation Index – Science (BKCI-S)
SC Meteorology & Atmospheric Sciences; Oceanography
GA BWL57
UT WOS:000294197300020
DA 2025-01-10
ER

PT J
AU Heve, WK
   Olesen, JE
   Chirinda, N
   Adiku, SGK
AF Heve, William K.
   Olesen, Jorgen E.
   Chirinda, Ngonidzashe
   Adiku, Samuel G. K.
TI Targeted management of organic resources for sustainably increasing soil
   organic carbon: Observations and perspectives for resource use and
   climate adaptations in northern Ghana
SO ACTA AGRICULTURAE SCANDINAVICA SECTION B-SOIL AND PLANT SCIENCE
LA English
DT Article
DE Climate adaptation; climate variability; soil management; organic
   resources; resilience; spatial targeting
ID WEST-AFRICAN SAVANNA; SEMI-PERMANENT CULTIVATION; MIXED-FARMING SYSTEM;
   PHOSPHORUS ALLOCATION; SPATIAL CARBON; NITROGEN; SEQUESTRATION;
   AGROECOSYSTEMS; MATTER; COMPONENT
AB Since soil organic matter (SOM) buffers against impacts of climatic variability, the objective of this study was to assess on-farm distribution of SOM and propose realistic options for increasing SOM and thus the adaptation of smallholder farmers to climate change and variability in the interior northern savannah of Ghana. Data and information on spatial distribution of soil organic carbon (SOC), current practices that could enhance climate adaptation including management of organic resources were collected through biophysical assessments and snap community surveys. Even though homestead fields were more frequently cultivated, higher amounts of SOC (15 +/- 2gkg(-1)) were observed in homesteads when compared to the periphery cropped sections in bushes (SOC=9 +/- 1gkg(-1)). Possibly, a combination of household wastes, droppings of domestic animals that are mostly reared in a free-range system, manures applied to crops and cultural norms of chieftaincy, which cause short-term fallowing of homestead fields could account for the differences in SOC. Use of organic resources for soil amendment among farmers was low (31% of interviewed farmers) due largely to ignorance of fertilizer values of manures and residues, traditions for bush-burning and competing use of organic resources for fuels. Our findings suggest a need for effective management practices, training and awareness aimed at improving management of organic resources and, consequently, increasing SOC and resilience to climate-change-induced risks.
C1 [Heve, William K.] Univ Florida, Inst Food & Agr Sci, Lake Alfred, FL 33850 USA.
   [Heve, William K.] Minist Food & Agr, Plant Protect & Regulatory Serv Directorate, Pokuase Accra, Ghana.
   [Olesen, Jorgen E.] Aarhus Univ, Dept Agroecol, DK-8830 Tjele, Denmark.
   [Chirinda, Ngonidzashe] Ctr Int Agr Trop, Cali, Colombia.
   [Adiku, Samuel G. K.] Univ Ghana, Dept Soil Sci, Legon, Ghana.
C3 State University System of Florida; University of Florida; Aarhus
   University; Alliance; International Center for Tropical Agriculture -
   CIAT; University of Ghana
RP Olesen, JE (corresponding author), Aarhus Univ, Dept Agroecol, Blichers Alle 20, DK-8830 Tjele, Denmark.
EM jeo@agro.au.dk
RI Olesen, Jørgen/Y-2857-2019
OI Chirinda, Ngonidzashe/0000-0002-4213-6294; HEVE, William
   K./0000-0003-1882-3438; Olesen, Jorgen E./0000-0002-6639-1273
FU European Union (EU); International Fund for Agricultural Development
   (IFAD)
FX This work was undertaken as part of the CGIAR and IEA (Ghana) Research
   Programs on Climate Change, Agriculture and Food Security (CCAFS), which
   is a strategic partnership of CGIAR, Future Earth and IEA (Ghana), with
   support from the European Union (EU) and the International Fund for
   Agricultural Development (IFAD).
CR Abekoe MK, 1998, NUTR CYCL AGROECOSYS, V52, P45, DOI 10.1023/A:1009745529753
   Abubakari A. H., 2012, Journal of Soil Science and Environmental Management, V3, P84
   Adiku SGK, 2009, J AGR SCI, V147, P313, DOI 10.1017/S002185960900851X
   Adzitey F., 2013, J WORLDS POULT RES, V3, P1
   Akudugu MA, 2012, J BIOL AGR HEALTHCAR, V2, P12
   [Anonymous], 2013, International Journal of Sciences: Basic and Applied Research
   [Anonymous], 2001, West Afr J Appl Ecol
   Batjes NH, 2001, LAND DEGRAD DEV, V12, P131, DOI 10.1002/ldr.444
   Bellwood-Howard I., 2013, International Journal of Sustainable Development World Policy, V2, P15
   Boakye-Danquah J, 2014, J DISASTER RES, V9, P484, DOI 10.20965/jdr.2014.p0484
   Boateng SA, 2006, W AFR J APPL ECOL, V9, P12
   BRAY RH, 1945, SOIL SCI, V59, P39, DOI 10.1097/00010694-194501000-00006
   BREMNER J. M., 1960, JOUR AGRIC SCI, V55, P11, DOI 10.1017/S0021859600021572
   Day PR., 1965, AGRON MONOGR, V9, P545, DOI [10.2134/agronmonogr9.1.c43, DOI 10.2134/AGRONMONOGR9.1.C43]
   Fageria NK, 2008, ADV AGRON, V99, P345, DOI 10.1016/S0065-2113(08)00407-0
   Fening JO., 2011, Agric Sci Res J, V1, P69
   Harper HJ, 1924, IND ENG CHEM, V16, P180, DOI 10.1021/ie50170a037
   Harper HJ, 1924, SOIL SCI, V18, P409, DOI 10.1097/00010694-192411000-00008
   Henry M, 2009, AGR ECOSYST ENVIRON, V129, P238, DOI 10.1016/j.agee.2008.09.006
   Issaka RN, 2012, A GLOBAL PERSPECTIVE
   Kahiluoto H, 2014, NAT CLIM CHANGE, V4, P309, DOI 10.1038/nclimate2209
   Kirkby CA, 2013, SOIL BIOL BIOCHEM, V60, P77, DOI 10.1016/j.soilbio.2013.01.011
   Kong XiangBin Kong XiangBin, 2012, Journal of Agricultural Science (Toronto), V4, P140
   Kuzyakov Y, 2000, SOIL BIOL BIOCHEM, V32, P1485, DOI 10.1016/S0038-0717(00)00084-5
   Lakanen E., 1971, Acta Agralia Fennica, V123, P223
   Lal R, 2004, GEODERMA, V123, P1, DOI 10.1016/j.geoderma.2004.01.032
   MacCarthy DS, 2009, FIELD CROP RES, V113, P105, DOI 10.1016/j.fcr.2009.04.006
   Manlay RJ, 2002, AGR ECOSYST ENVIRON, V88, P233, DOI 10.1016/S0167-8809(01)00219-5
   Manlay RJ, 2004, AGR SYST, V79, P83, DOI 10.1016/S0308-521X(03)00054-4
   Manlay RJ, 2004, AGR SYST, V79, P55, DOI 10.1016/S0308-521X(03)00053-2
   Manlay RJ, 2002, AGR ECOSYST ENVIRON, V88, P215, DOI 10.1016/S0167-8809(01)00218-3
   Manlay RJ, 2002, AGR ECOSYST ENVIRON, V88, P249, DOI 10.1016/S0167-8809(01)00220-1
   Masvaya EN, 2010, NUTR CYCL AGROECOSYS, V88, P111, DOI 10.1007/s10705-009-9262-y
   Miller RO, 2010, SOIL SCI SOC AM J, V74, P310, DOI 10.2136/sssaj2008.0047
   Moebius-Clune BN, 2011, AGR ECOSYST ENVIRON, V141, P86, DOI 10.1016/j.agee.2011.02.018
   Mubaya CP, 2012, J ENVIRON MANAGE, V102, P9, DOI 10.1016/j.jenvman.2012.02.005
   Nartey E, 1997, GHANA J AGR SCI, V30, P115
   Nartey E., 1997, GHANA J AGR SCI, V30, P135, DOI [10.4314/gjas.v30i2.1965, DOI 10.4314/GJAS.V30I2.1965]
   Nutsukpo D. K., 2012, West African Agriculture and climate Change: A Comprehensive analysis
   Obiri-Nyarko F., 2012, ARPN J SCI TECHNOL, V2, P143
   Olson K.R., 2013, APPL ENVIRON SOIL SC, P1, DOI DOI 10.1155/2013/617504
   Ontl T.A., 2012, Nature Education Knowledge, V3, P35
   OWUSUBENNOAH E, 1989, SOIL SCI, V148, P114, DOI 10.1097/00010694-198908000-00005
   Pan GX, 2009, AGR ECOSYST ENVIRON, V129, P344, DOI 10.1016/j.agee.2008.10.008
   Pocknee S, 1997, SOIL SCI SOC AM J, V61, P86, DOI 10.2136/sssaj1997.03615995006100010014x
   PRUDENCIO CY, 1993, AGR ECOSYST ENVIRON, V47, P237, DOI 10.1016/0167-8809(93)90125-9
   Rowhani P, 2011, AGR FOREST METEOROL, V151, P449, DOI 10.1016/j.agrformet.2010.12.002
   Thomsen IK, 2013, SOIL BIOL BIOCHEM, V58, P82, DOI 10.1016/j.soilbio.2012.11.006
   Tittonell P, 2010, PLANT SOIL, V328, P253, DOI 10.1007/s11104-009-0107-x
   Walkley A, 1934, SOIL SCI, V37, P29, DOI 10.1097/00010694-193401000-00003
   Ziblim I. A., 2012, Journal of Soil Science and Environmental Management, V3, P154
   Zingore S, 2007, AGR ECOSYST ENVIRON, V119, P112, DOI 10.1016/j.agee.2006.06.019
NR 52
TC 4
Z9 6
U1 2
U2 36
PU TAYLOR & FRANCIS AS
PI OSLO
PA KARL JOHANS GATE 5, NO-0154 OSLO, NORWAY
SN 0906-4710
EI 1651-1913
J9 ACTA AGR SCAND B-S P
JI Acta Agric. Scand. Sect. B-Soil Plant Sci.
PD FEB 17
PY 2016
VL 66
IS 2
BP 178
EP 190
DI 10.1080/09064710.2015.1081396
PG 13
WC Agronomy; Soil Science
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA CY8LF
UT WOS:000366659200009
DA 2025-01-10
ER

PT J
AU Zavar, E
   Fischer, LA
AF Zavar, Elyse
   Fischer, Lauren Ames
TI Fractured landscapes: The racialization of home buyout programs and
   climate adaptation
SO CURRENT RESEARCH IN ENVIRONMENTAL SUSTAINABILITY
LA English
DT Article
DE Climate mitigation; Coproduction of knowledge; Color -evasive policy;
   Managed retreat; Redlining; Urban planning
ID CRITICAL RACE THEORY; COLOR-BLIND; ENVIRONMENTAL JUSTICE; VULNERABILITY;
   RESILIENCE; KNOWLEDGE; POLICY; COPRODUCTION; NEIGHBORHOOD; COMMUNITIES
AB The paper analyzes the intersection of racialized land development and U.S. buyout programs to advance a framework for socially sustainable climate adaptation. Using GIS and content analysis, we examine the relationship between the site of contemporary buyout programs and neighborhoods surveyed in the 1930s by the Home Owners' Loan Corpora-tion (HOLC). To evaluate whether buyout programs are more likely to occur in redlined neighborhoods, we identify the spatial patterns and associations between these two policies. We find that the majority of FEMA-funded buyouts occurring in HOLC-surveyed cities were located outside of graded zones; yet for the buyouts occurring in the graded historic urban core, the majority were located in redlined districts. We then consider how the language used to de-scribe each neighborhood by the HOLC characterizes amenity and hazard and how these descriptions influenced later policy interventions. Using buyouts and HOLC as an example, we engage the color-evasive policy literature to argue for climate adoption policies that recognize the racialized history that has produced unequal vulnerabilities to hazards rather than relying on buyouts as a technical solution to climate change. Moving past recognition towards an agenda of action, we contend that co-production of knowledge is essential to inform environmental-decision mak-ing and that the sustainability research community and its allied fields must center environmental justice frameworks for equitable climate adaptation.
C1 [Zavar, Elyse] Univ North Texas, Dept Emergency Management & Disaster Sci, 410 Ave C, Denton, TX 76203 USA.
   [Fischer, Lauren Ames] Univ North Texas, Dept Publ Adm, Urban Planning & Policy, 410 Ave C, Denton, TX 76203 USA.
C3 University of North Texas System; University of North Texas Denton;
   University of North Texas System; University of North Texas Denton
RP Zavar, E (corresponding author), Univ North Texas, Dept Emergency Management & Disaster Sci, 410 Ave C, Denton, TX 76203 USA.
EM Elyse.Zavar@unt.edu; Lauren.Fischer@unt.edu
OI Fischer, Lauren Ames/0000-0003-1506-4915
CR Aaronson D., 2020, The Effects of the 1930s HOLC "Redlining" Maps
   Althor G, 2016, SCI REP-UK, V6, DOI 10.1038/srep20281
   Anguelovski I, 2016, J PLAN EDUC RES, V36, P333, DOI 10.1177/0739456X16645166
   Annamma SA, 2017, RACE ETHNIC EDUC-UK, V20, P147, DOI 10.1080/13613324.2016.1248837
   [Anonymous], 2010, American Factfinder
   [Anonymous], 2017, MITIG ADAPT STRAT GL, DOI DOI 10.1007/s11027-016-9725-9
   Arnold JosephL., 1988, The Evolution of the 1936 Flood Control Act
   Bagstad KJ, 2007, ECOL ECON, V63, P285, DOI 10.1016/j.ecolecon.2006.09.019
   Banholzer S., 2014, Reducing Disaster: Early Warning Systems for Climate Change, P21, DOI [DOI 10.1007/978-94-017-8598-3_2, DOI 10.1007/978-94-017-8598-32]
   Barile JP, 2020, APPL RES QUAL LIFE, V15, P1151, DOI 10.1007/s11482-019-09722-3
   Beauregard RobertA., 2018, CITIES URBAN AGE
   Benincasa R., 2019, NPR
   Bin O, 2008, LAND ECON, V84, P434, DOI 10.3368/le.84.3.434
   Binder SB, 2020, DISASTER PREV MANAG, V29, P497, DOI 10.1108/DPM-09-2019-0298
   Brand A. L., 2020, J RACE ETHNICITY CIT, V1, P87, DOI [10.1080/26884674.2020.1818536, DOI 10.1080/26884674.2020.1818536]
   Briggs XD, 1998, J PLAN EDUC RES, V18, P1
   Brown K, 2014, PROG HUM GEOG, V38, P107, DOI [10.1177/0309132513498837, 10.1177/0361684313496549]
   Bullard RD, 2000, J SOC ISSUES, V56, P555, DOI 10.1111/0022-4537.00184
   Calmore J., 1997, LAW INEQUALITY, V15, P25
   Cole LukeW. Sheila R. Foster., 2001, GROUND ENV RACISM RI
   Collin RM., 2019, Sustainability: The Journal of Record, V12, P28, DOI [10.1089/sus.2018.0035, DOI 10.1089/SUS.2018.0035]
   Collins Kevin, 2009, European Environment, V19, P358, DOI 10.1002/eet.523
   Connor MA, 2014, J URBAN HIST, V40, P48, DOI 10.1177/0096144213508081
   CONVERGE, 2021, CONVERGE TRAIN MOD
   Corburn J, 2003, J PLAN EDUC RES, V22, P420, DOI 10.1177/0739456X03022004008
   Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708
   CULP JM, 1994, NEW YORK U LAW REV, V69, P162
   Cutter SL, 2000, ANN ASSOC AM GEOGR, V90, P713, DOI 10.1111/0004-5608.00219
   Da Silva DC, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12010129
   da Silva JMC, 2017, PERSPECT ECOL CONSER, V15, P32, DOI 10.1016/j.pecon.2016.11.005
   David-Chavez DM, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaf300
   Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124
   de Vries DH, 2017, HUM ECOL, V45, P437, DOI 10.1007/s10745-017-9915-4
   Dean JP, 1947, J LAND PUBLIC UTIL E, V23, P428, DOI 10.2307/3158842
   El-Geneidy A, 2014, TRANSPORTATION, V41, P193, DOI 10.1007/s11116-013-9508-z
   Elliott J.R., 2020, SOCIUS SOCIOL RES DY, V6, DOI [10.1177/2378023120905439237802312090543, DOI 10.1177/2378023120905439237802312090543]
   Faber JW, 2020, AM SOCIOL REV, V85, P739, DOI 10.1177/0003122420948464
   FEMA, 2008, HAZ MIT ASS GUID PRO
   Fischer F, 2000, CITIZENS EXPERTS ENV
   Flyvbjerg B., 2001, MAKING SOCIAL SCI MA
   FORESTER J, 1982, J AM PLANN ASSOC, V48, P67, DOI 10.1080/01944368208976167
   Gans Herbert J., 1982, URBAN VILLAGERS
   Ghosh S., 2008, BUFFALO LAW REV, DOI [10.2139/ssrn.1113505, DOI 10.2139/SSRN.1113505]
   Gonick SA, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10114150
   GOTANDA N, 1991, STANFORD LAW REV, V44, P1, DOI 10.2307/1228940
   Gotham KF, 2000, INT J URBAN REGIONAL, V24, P616, DOI 10.1111/1468-2427.00268
   Graham L, 2016, GLOBAL ENVIRON CHANG, V40, P112, DOI 10.1016/j.gloenvcha.2016.07.001
   Greer A, 2017, HOUS POLICY DEBATE, V27, P372, DOI 10.1080/10511482.2016.1245209
   Grove M, 2018, ANN AM ASSOC GEOGR, V108, P524, DOI 10.1080/24694452.2017.1365585
   HABERMAS J, 1970, INQUIRY, V13, P360, DOI 10.1080/00201747008601597
   Hardy RD, 2017, GEOFORUM, V87, P62, DOI 10.1016/j.geoforum.2017.10.005
   Hillier AE, 2005, SOC SCI HIST, V29, P207, DOI 10.1215/01455532-29-2-207
   Hoffman JS, 2020, CLIMATE, V8, DOI 10.3390/cli8010012
   Holifield R., 2017, The Routledge Handbook of Environmental Justice, P1
   Holleman H, 2017, J PEASANT STUD, V44, P234, DOI 10.1080/03066150.2016.1195375
   I-DIEM, 2021, US
   Inwood JFJ, 2015, SOUTHEAST GEOGR, V55, P417, DOI 10.1353/sgo.2015.0036
   Jacobs F, 2019, PLAN THEOR, V18, P24, DOI 10.1177/1473095218763221
   Katzenback N., 2000, SEX RACE MERIT DEBAT
   Krippendorff K., 2013, CONTENT ANAL INTRO I
   Kuchinskaya O, 2019, SCI TECHNOL HUM VAL, V44, P871, DOI 10.1177/0162243919858669
   Latour B., 1979, LAB LIFE CONSTRUCTIO
   Latulippe N, 2020, CURR OPIN ENV SUST, V42, P7, DOI 10.1016/j.cosust.2019.10.010
   Lemos MC, 2005, GLOBAL ENVIRON CHANG, V15, P57, DOI 10.1016/j.gloenvcha.2004.09.004
   Lipsitz George., 2011, How Racism Takes Place
   López IH, 2011, STUD CRIT SOC SCI, V32, P85
   Loughran K, 2019, SOC CURR, V6, P121, DOI 10.1177/2329496518797851
   Loughran K, 2019, POPUL ENVIRON, V41, P52, DOI 10.1007/s11111-019-00324-7
   Lynn K, 2017, LOCAL ENVIRON, V22, P321, DOI 10.1080/13549839.2016.1195802
   Mach KJ, 2020, CURR OPIN ENV SUST, V42, P30, DOI 10.1016/j.cosust.2020.01.002
   Mach KJ, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax8995
   Martin A, 2020, ENVIRONMENT, V62, P19, DOI 10.1080/00139157.2020.1820294
   Massey Douglas, 1993, American Apartheid: Segregation and the Making of the Underclass
   McGhee DJ, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000337
   Mele C, 2013, INT J URBAN REGIONAL, V37, P598, DOI 10.1111/j.1468-2427.2012.01144.x
   Meyerson Martin., 1955, POLITICS PLANNING PU
   Monchow H., 1928, USE DEED RESTRICTION
   Montz B.E., FLOODS, V1, P116
   Moran M, 2019, U TORONTO LAW J, V69, P421, DOI 10.3138/utlj.2018-0063
   Nelson RK, 2021, AM PANORAMA
   Nelson SC, 2015, PEDIATR BLOOD CANCER, V62, P915, DOI 10.1002/pbc.25448
   Neubeck Kenneth., 2001, WELFARE RACISM PLAYI
   Neville H.A., MYTH RACIAL COLOR BL, P3
   Ottinger G, 2009, SPONTANEOUS GENER, V3, P55, DOI 10.4245/sponge.v3i1.6115
   Pearsall H, 2010, LOCAL ENVIRON, V15, P569, DOI 10.1080/13549839.2010.487528
   Perez AC, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/105002
   Prasad S, 2016, INT J DISAST RISK SC, V7, P436, DOI 10.1007/s13753-016-0101-x
   Pulido L., 2016, Capitalism Nature Socialism, V27, P1, DOI DOI 10.1080/10455752.2016.1213013
   Qian Z, 2011, PLAN PRACT RES, V26, P21, DOI 10.1080/02697459.2010.522857
   Rossi M, 2019, NAT CLIM CHANGE, V9, P904, DOI 10.1038/s41558-019-0655-x
   Rothstein R, 2017, COLOR LAW FORGOTTEN
   Rumbach A, 2020, NAT HAZARDS REV, V21, DOI 10.1061/(ASCE)NH.1527-6996.0000357
   Safe L.A, 2019, LEARN WHO WE ARE
   Saito L, 2015, SOCIOL RACE ETHNIC, V1, P37, DOI 10.1177/2332649214551096
   Scata J, 2017, FEMA TURNING BLIND E
   Scott James C, 2020, SEEING STATE CERTAIN
   Siders AR, 2019, ONE EARTH, V1, P216, DOI 10.1016/j.oneear.2019.09.008
   Silver C., 1997, URBAN PLANNING AFRIC, P321
   STACH PB, 1988, J URBAN HIST, V15, P42, DOI 10.1177/009614428801500103
   Sugrue ThomasJ., 1996, ORIGINS URBAN CRISIS
   Thomas J.M., 1997, Psyccritiques, V42, DOI [DOI 10.1037/000678, 10.1037/000678]
   Tierney K, 2006, ON RISK AND DISASTER: LESSONS FROM HURRICANE KATRINA, P109
   TOBIN GA, 1995, WATER RESOUR BULL, V31, P359, DOI 10.1111/j.1752-1688.1995.tb04025.x
   Turnhout E, 2020, CURR OPIN ENV SUST, V42, P15, DOI 10.1016/j.cosust.2019.11.009
   VANDERPLOEG JD, 1993, SOCIOL RURALIS, V33, P240, DOI 10.1111/j.1467-9523.1993.tb00963.x
   Warner SamBass., 1962, Streetcar Suburbs: The Process of Growth in Boston, 1870-1900
   Waters MC, 2000, AM J PUBLIC HEALTH, V90, P1735, DOI 10.2105/AJPH.90.11.1735
   Watts IE, 2004, AM EDUC RES J, V41, P271, DOI 10.3102/00028312041002271
   White G.F, 1945, HUMAN AJUSTMENT FLO
   Whittemore A., 2016, RACIAL BIAS ZONING E
   Whittemore AH, 2020, HOUS POLICY DEBATE, V30, P191, DOI 10.1080/10511482.2019.1657928
   Whittemore AH, 2017, J PLAN LIT, V32, P16, DOI 10.1177/0885412216683671
   Williams RA, 2024, J PLAN EDUC RES, V44, P64, DOI 10.1177/0739456X20946416
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wing OEJ, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaac65
   Wisner B., 2004, At risk: natural hazards, people's vulnerability and disasters
   Zavar E, 2016, LAND USE POLICY, V56, P38, DOI 10.1016/j.landusepol.2016.04.037
NR 117
TC 15
Z9 16
U1 2
U2 8
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 2021
VL 3
AR 100043
DI 10.1016/j.crsust.2021.100043
PG 11
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA 7H6XF
UT WOS:000903343200006
OA gold
DA 2025-01-10
ER

PT J
AU Anwar, MR
   Liu, DL
   Farquharson, R
   Macadam, I
   Abadi, A
   Finlayson, J
   Wang, B
   Ramilan, T
AF Anwar, Muhuddin Rajin
   Liu, De Li
   Farquharson, Robert
   Macadam, Ian
   Abadi, Amir
   Finlayson, John
   Wang, Bin
   Ramilan, Thiagarajah
TI Climate change impacts on phenology and yields of five broadacre crops
   at four climatologically distinct locations in Australia
SO AGRICULTURAL SYSTEMS
LA English
DT Article
DE Crops; Climate change; GCM; APSIM; Yield; Phenology
ID WHEAT YIELD; MEDITERRANEAN ENVIRONMENT; RISING TEMPERATURE; POTENTIAL
   IMPACT; WINTER RAINFALL; USE EFFICIENCY; EXTREME HEAT; SYSTEMS; FUTURE;
   MODEL
AB Shifts in rainfall and rising temperatures due to climate change pose a formidable challenge to the sustainability of broadacre crop yields in Western and South-Eastern Australia. Output from18 Global Climate Models (GCMs) for the Special Report on Emission Scenarios (SRES) A2 scenario was statistically downscaled to four contrasting locations. For the first time in these regions, bias corrected statistically downscaled climate data were employed to drive the Agricultural Production Systems Simulator (APSIM) crop model that integrates the effects of soil, crop phenotype, and management options for a quantitative comparison of crop yields and phenology under an historical and a plausible projected climate. The dynamic APSIM simulation model explore the implications of climate change across multiple locations and multiple time periods (1961-2010,2030, 2060 and 2090) for multiple key crops (wheat, barley, lupin, canola, field pea) grown in three different types of soil. On average, the ensemble of downscaled GCM projections show a decrease in rainfall in the future at the four locations considered, with increased variability at two locations. At all locations and for five crops, future changes in both crop biomass and grain yield are strongly associated with changes in rainfall (P = 0.05 to P = 0.001). The overall rainfall amount is critical in determining yields but, equally, higher future temperatures can contribute to reducing crop productivity primarily due to advanced crop phenology. For example, for wheat cropping at Hamilton (a higher rainfall site), there is a significant advancement in median flowering date for 2030, 2060, and 2090 of 10, 18, and 29 days respectively with a significant 0.50% grain yield changes for each percentage change in rainfall compared to significant 0.90% grain yield changes in Cunderdin (a lower rainfall site). At all sites except Hamilton, the change in crop grain yield is significantly correlated (P = 0.001) with the percentage change in the future rainfall and the impact increased progressively from higher rainfall to lower rainfall sites. However, the magnitude of the change in crop phenology and yield were not significantly different between soil types. These results help to define regions of concern and their relative importance in the coming years. In this future climate the negative consequences for crop yields and advancement of phenology relative to baseline are not uniform across crops and locations. Of the crops studied - wheat, barley, lupin, canola and field pea - field pea is the most sensitive to the projected future climate changes, and the ensemble median changes in field pea yield range from a decrease of 12% to a decrease of 45%, depending on location. These results highlight the importance of research and policy to support strategies for adapting to climate change, such as advances in agronomy, soil moisture conservation, seasonal climate forecasting and breeding new crop varieties. Crown Copyright (C) 2014 Published by Elsevier Ltd. All rights reserved.
C1 [Anwar, Muhuddin Rajin; Liu, De Li; Finlayson, John; Wang, Bin] PMB, Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia.
   [Anwar, Muhuddin Rajin; Liu, De Li; Finlayson, John; Wang, Bin] Graham Ctr Agr Innovat, An Alliance NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia.
   [Anwar, Muhuddin Rajin; Liu, De Li; Finlayson, John; Wang, Bin] Charles Sturt Univ, Wagga Wagga, NSW 2650, Australia.
   [Farquharson, Robert] Univ Melbourne, Melbourne Sch Land & Environm, Melbourne, Vic 3010, Australia.
   [Farquharson, Robert] Univ Melbourne, Future Farm Ind Cooperat Res Ctr, Melbourne, Vic 3010, Australia.
   [Macadam, Ian] Univ New S Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia.
   [Macadam, Ian] Univ New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia.
   [Abadi, Amir] Dept Agr & Food Western Australia, Dept Parks & Wildlife Western Australia, Perth, WA, Australia.
   [Abadi, Amir] Future Farm Ind Cooperat Res Ctr, Perth, WA, Australia.
   [Wang, Bin] Univ Technol Sydney, Plant Biol & Climate Change Cluster, Broadway, NSW 2007, Australia.
   [Ramilan, Thiagarajah] Int Crops Res Inst Semi Arid Trop, Patancheru, Andhra Pradesh, India.
C3 Department of Primary Industries & Regional Development NSW; Department
   of Primary Industries & Regional Development NSW; Charles Sturt
   University; University of Melbourne; University of Melbourne; University
   of New South Wales Sydney; University of New South Wales Sydney; ARC
   Centre of Excellence for Climate System Science; University of
   Technology Sydney; CGIAR; International Crops Research Institute for the
   Semi-Arid-Tropics (ICRISAT)
RP Anwar, MR (corresponding author), PMB, Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia.
EM muhuddin.anwar@dpi.nsw.gov.au
RI Wang, Bin/AFI-6568-2022; , De Li Liu/Y-4656-2019; Ramilan,
   Thiagarajah/M-7296-2019; Farquharson, Robert/K-7874-2015
OI Liu, De Li/0000-0003-2574-1908; Wang, Bin/0000-0002-6422-5802;
   Farquharson, Robert/0000-0002-2381-2779; Abadi Ghadim, Amir
   Khosrow/0009-0000-3164-7884; Macadam, Ian/0000-0002-1167-0195
FU Australian Government (Department of Climate Change and Energy
   Efficiency); National Climate Change Adaptation Research Facility; NSW
   Department of Primary Industry; ARC Centre of Excellence for Climate
   System Science [CE110001028]; Office of Science, U.S. Department of
   Energy
FX The authors acknowledge financial support provided by the Australian
   Government (Department of Climate Change and Energy Efficiency), the
   National Climate Change Adaptation Research Facility, NSW Department of
   Primary Industry and the ARC Centre of Excellence for Climate System
   Science (grant CE110001028). We acknowledge the modelling groups, the
   Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the
   WCRP's Working Group on Coupled Modelling (WGCM) for their roles in
   making available the WCRP CMIP3 multi-model dataset. Support of this
   dataset is provided by the Office of Science, U.S. Department of Energy.
CR Alexandrov V, 2002, GLOBAL CHANGE BIOL, V8, P372, DOI 10.1046/j.1354-1013.2002.00484.x
   Amthor JS, 2000, ANN BOT-LONDON, V86, P1, DOI 10.1006/anbo.2000.1175
   Anandhi A, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009104
   [Anonymous], AGR SYST
   [Anonymous], GLOBAL CLIMATE CHANG
   [Anonymous], 2014, CLIM CHANG AUSTR
   [Anonymous], P 14 AUSTR AGR C
   [Anonymous], 2010, STAT CLIM 2010
   [Anonymous], 2011, The Impact of Recent Flood Events on Commodities ABARES Special Report
   [Anonymous], P IMP WORLD 2013 INT
   [Anonymous], FIELD PEA W NSW PLAN
   [Anonymous], TURN DOWN HEAT WHY 4
   [Anonymous], CLIMATE CHANGE 2001
   [Anonymous], 2013, Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience
   [Anonymous], GLOBAL BIOGEOCHEM CY
   [Anonymous], CROOPING SYSTEM SIMU
   [Anonymous], 2012, Agricultural commodity statistics 2012
   [Anonymous], P 10 AUSTR AGR C
   [Anonymous], 2002, AUSTR SOIL CLASSIFIC
   [Anonymous], 2012, BUR MET STAT CLIM
   [Anonymous], AUSTR CROP REP
   Anwar MR, 2007, FIELD CROP RES, V104, P139, DOI 10.1016/j.fcr.2007.03.020
   Anwar MR, 2013, THEOR APPL CLIMATOL, V113, P225, DOI 10.1007/s00704-012-0780-1
   Asseng S, 2004, FIELD CROP RES, V85, P85, DOI 10.1016/S0378-4290(03)00154-0
   Asseng S, 2013, CLIMATIC CHANGE, V118, P167, DOI 10.1007/s10584-012-0623-1
   Bassu S, 2011, FIELD CROP RES, V124, P14, DOI 10.1016/j.fcr.2011.05.020
   Beniston M, 2007, CLIMATIC CHANGE, V81, P71, DOI 10.1007/s10584-006-9226-z
   Betts RA, 2005, PHILOS T R SOC B, V360, P2049, DOI 10.1098/rstb.2005.1739
   Betts RA, 2011, PHILOS T R SOC A, V369, P67, DOI 10.1098/rsta.2010.0292
   BIDINGER F, 1977, NATURE, V270, P431, DOI 10.1038/270431a0
   Cai W, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL033727
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Challinor A, 2011, NAT CLIM CHANGE, V1, P103, DOI 10.1038/nclimate1098
   Craufurd PQ, 2009, J EXP BOT, V60, P2529, DOI 10.1093/jxb/erp196
   DEWIT CT, 1987, GEODERMA, V40, P253, DOI 10.1016/0016-7061(87)90036-X
   Dogliotti S, 2014, AGR SYST, V126, P76, DOI 10.1016/j.agsy.2013.02.009
   Drake BG, 1997, ANNU REV PLANT PHYS, V48, P609, DOI 10.1146/annurev.arplant.48.1.609
   Farré I, 2004, AUST J AGR RES, V55, P863, DOI 10.1071/AR04027
   Forster P, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129
   Fuhrer J, 2003, AGR ECOSYST ENVIRON, V97, P1, DOI 10.1016/S0167-8809(03)00125-7
   Gebbing T, 1999, PLANT CELL ENVIRON, V22, P851, DOI 10.1046/j.1365-3040.1999.00436.x
   Gornall J, 2010, PHILOS T R SOC B, V365, P2973, DOI 10.1098/rstb.2010.0158
   Hayman P, 2012, CROP PASTURE SCI, V63, P203, DOI 10.1071/CP11196
   HEENAN DP, 1994, AUST J AGR RES, V45, P93, DOI 10.1071/AR9940093
   Hennessy KJ, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P13
   Hennessy K, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P507
   Hunt JR, 2011, CROP PASTURE SCI, V62, P915, DOI 10.1071/CP11268
   Huntingford C, 2005, PHILOS T R SOC B, V360, P1999, DOI 10.1098/rstb.2005.1748
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   Ines AVM, 2006, AGR FOREST METEOROL, V138, P44, DOI 10.1016/j.agrformet.2006.03.009
   Jeffrey SJ, 2001, ENVIRON MODELL SOFTW, V16, P309, DOI 10.1016/S1364-8152(01)00008-1
   Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9
   Laurent R, 2007, CLIMATIC CHANGE, V82, P411, DOI [10.1007/s10584-006-9197-0, 10.1007/s 10584-006-9197-0]
   Liu DL, 2012, CLIMATIC CHANGE, V115, P629, DOI 10.1007/s10584-012-0464-y
   Lobell DB, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/1/014002
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   Lobell DB, 2013, AGR FOREST METEOROL, V170, P58, DOI 10.1016/j.agrformet.2012.05.013
   Lobell DB, 2012, NAT CLIM CHANGE, V2, P186, DOI [10.1038/NCLIMATE1356, 10.1038/nclimate1356]
   Long SP, 2006, PLANT CELL ENVIRON, V29, P315, DOI 10.1111/j.1365-3040.2005.01493.x
   Ludwig F, 2006, AGR SYST, V90, P159, DOI 10.1016/j.agsy.2005.12.002
   Ludwig F, 2010, AGR SYST, V103, P127, DOI 10.1016/j.agsy.2009.11.001
   Ludwig F, 2009, CLIMATIC CHANGE, V92, P495, DOI 10.1007/s10584-008-9479-9
   Luo QY, 2005, AGR FOREST METEOROL, V132, P273, DOI 10.1016/j.agrformet.2005.08.003
   Maraun D, 2010, REV GEOPHYS, V48, DOI 10.1029/2009RG000314
   McCown RL, 1996, AGR SYST, V50, P255, DOI 10.1016/0308-521X(94)00055-V
   Mearns LO, 1996, CLIMATIC CHANGE, V32, P257, DOI 10.1007/BF00142465
   Meehl G. A., CLIMATE CHANGE 2007
   Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Özdogan M, 2011, AGR ECOSYST ENVIRON, V141, P1, DOI 10.1016/j.agee.2011.02.001
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Potgieter A, 2013, CLIMATIC CHANGE, V117, P163, DOI 10.1007/s10584-012-0543-0
   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]
   Ramirez-Villegas J, 2012, AGR FOREST METEOROL, V161, P26, DOI 10.1016/j.agrformet.2012.03.015
   Reilly J, 2003, CLIMATIC CHANGE, V57, P43, DOI 10.1023/A:1022103315424
   Reyenga PJ, 1999, ENVIRON MODELL SOFTW, V14, P297, DOI 10.1016/S1364-8152(98)00081-4
   Richardson C.W., 1984, WGEN MODEL GENERATIN
   Robertson AW, 2007, J APPL METEOROL CLIM, V46, P677, DOI 10.1175/JAM2495.1
   Robertson MJ, 2005, AUST J AGR RES, V56, P1373, DOI 10.1071/AR05030
   Robertson MJ, 2002, AUST J AGR RES, V53, P429, DOI 10.1071/AR01106
   Roudier P, 2011, GLOBAL ENVIRON CHANG, V21, P1073, DOI 10.1016/j.gloenvcha.2011.04.007
   Sacks WJ, 2011, AGR FOREST METEOROL, V151, P882, DOI 10.1016/j.agrformet.2011.02.010
   Sadras VO, 2006, FIELD CROP RES, V99, P136, DOI 10.1016/j.fcr.2006.04.003
   Salathe EP, 2003, INT J CLIMATOL, V23, P887, DOI 10.1002/joc.922
   SINCLAIR T.R., 2011, Handbook of Climate Change and Agroecosystems: Impacts, Adapatation, and Mitigation, P179
   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, 2010, J EXP BOT, V61, P2217, DOI 10.1093/jxb/erq100
   Stokes C, 2010, ADAPTING AGRICULTURE TO CLIMATE CHANGE: PREPARING AUSTRALIAN AGRICULTURE, FORESTRY AND FISHERIES FOR THE FUTURE, P1
   Timbal B, 2008, J CLIMATE, V21, P6052, DOI 10.1175/2008JCLI2379.1
   Timbal B, 2008, CLIMATIC CHANGE, V86, P165, DOI 10.1007/s10584-007-9279-7
   Tsubo M, 2007, ECOL MODEL, V204, P503, DOI 10.1016/j.ecolmodel.2007.02.001
   Tubiello FN, 2002, CLIM RES, V20, P259, DOI 10.3354/cr020259
   Turner NC, 2004, J EXP BOT, V55, P2413, DOI 10.1093/jxb/erh154
   Turner NC, 2011, CROP PASTURE SCI, V62, P445, DOI 10.1071/CP10372
   van Ittersum MK, 2003, AGR ECOSYST ENVIRON, V97, P255, DOI 10.1016/S0167-8809(03)00114-2
   van Roosmalen L, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006760
   Wang E, 2009, AGR FOREST METEOROL, V149, P38, DOI 10.1016/j.agrformet.2008.07.001
   Wang J, 2011, THEOR APPL CLIMATOL, V104, P285, DOI 10.1007/s00704-010-0343-2
   Wessolek G, 2006, EUR J AGRON, V24, P333, DOI 10.1016/j.eja.2005.11.001
   Wheeler S, 2013, GLOBAL ENVIRON CHANG, V23, P537, DOI 10.1016/j.gloenvcha.2012.11.008
   Wheeler TR, 2000, AGR ECOSYST ENVIRON, V82, P159, DOI 10.1016/S0167-8809(00)00224-3
   White JW, 2011, FIELD CROP RES, V124, P357, DOI 10.1016/j.fcr.2011.07.001
   Yang YM, 2014, THEOR APPL CLIMATOL, V115, P391, DOI 10.1007/s00704-013-0895-z
   Yunusa IAM, 2004, AUST J EXP AGR, V44, P787, DOI 10.1071/EA03121
   Zeleke KT, 2014, ENVIRON EARTH SCI, V72, P3317, DOI 10.1007/s12665-014-3235-4
   Zhang X, 2013, GEOPHYS RES LETT, V40, P1111, DOI 10.1002/grl.50279
NR 107
TC 134
Z9 146
U1 10
U2 169
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0308-521X
EI 1873-2267
J9 AGR SYST
JI Agric. Syst.
PD JAN
PY 2015
VL 132
BP 133
EP 144
DI 10.1016/j.agsy.2014.09.010
PG 12
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA AY1OX
UT WOS:000347363200013
OA Bronze, Green Accepted
DA 2025-01-10
ER

PT C
AU Liu, Y
   Wang, J
   Ren, J
   Xiao, QB
   Zhao, J
AF Liu, Yu
   Wang, Jin
   Ren, Juan
   Xiao, Qiubo
   Zhao, Juan
BE Ding, L
   Fiorito, F
   Osmond, P
TI A preliminary study on the climate adaptive design of green rural houses
   in west China
SO INTERNATIONAL HIGH-PERFORMANCE BUILT ENVIRONMENT CONFERENCE - A
   SUSTAINABLE BUILT ENVIRONMENT CONFERENCE 2016 SERIES (SBE16), IHBE 2016
SE Procedia Engineering
LA English
DT Proceedings Paper
CT International High-Performance Built Environment Conference (iHBE)
CY NOV 17-18, 2016
CL Sydney, AUSTRALIA
SP UNSW Built Environm, CRC Low Carbon Living, UrbanGrowth NSW
DE Climate; adaptive design; green; rural house; China
AB This paper introduces a preliminary study on the climate adaptive design of green rural houses in the Qinling mountainous region of west China. Based on literature reviews and field investigations on the existing traditional and contemporary rural houses in the researched region, the folk wisdom implied in the traditional rural houses, the perceptions and expectations of local residents, and the inheritance of folk wisdom in contemporary rural houses, are identified and discussed. Suggestions for the climate adaptive design of new rural houses in the researched region are provided, further researches are also recommended. (C) 2017 The Authors. Published by Elsevier Ltd.
C1 [Liu, Yu; Wang, Jin; Xiao, Qiubo; Zhao, Juan] Northwestern Polytech Univ, 127 Youyixi Rd, Xian 710072, Peoples R China.
   [Ren, Juan] Changan Univ, Middle Sect, Naner Huan Rd, Xian 710064, Peoples R China.
C3 Northwestern Polytechnical University; Chang'an University
RP Liu, Y (corresponding author), Northwestern Polytech Univ, 127 Youyixi Rd, Xian 710072, Peoples R China.
EM liuyu@nwpu.edu.cn
RI Liu, Yu/JCO-7756-2023
OI Liu, Yu/0000-0001-5236-8577
FU 12th Five-Year Science and Technology Support Program of China
   [2015BAL03B04- 2]; International Science and Technology Collaboration
   and Communication Program of Shaanxi Province [2016KW-031]
FX The research of this paper was supported by the 12th Five-Year Science
   and Technology Support Program of China (2015BAL03B04- 2) and the 2016
   International Science and Technology Collaboration and Communication
   Program of Shaanxi Province (No. 2016KW-031).
CR China Ministry of Housing and Urban-Rural Construction and Ministry of Industry and Information Technology, 2013, VILLAGES CONSTRUCTIO
   [冯彩琴 FENG Caiqin], 2011, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V25, P122
   Hu J. B, 2010, STUDY SCI POPULARIZA, P18
NR 3
TC 9
Z9 9
U1 1
U2 18
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1877-7058
J9 PROCEDIA ENGINEER
PY 2017
VL 180
BP 735
EP 740
DI 10.1016/j.proeng.2017.04.233
PG 6
WC Construction & Building Technology; Green & Sustainable Science &
   Technology; Engineering, Environmental; Engineering, Civil
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology; Science & Technology - Other Topics;
   Engineering
GA BI0JD
UT WOS:000404873600075
OA gold
DA 2025-01-10
ER

PT J
AU Basukala, AK
   Eschenbach, A
   Rasche, L
AF Basukala, Amit Kumar
   Eschenbach, Annette
   Rasche, Livia
TI Effect of irrigation canal conveyance efficiency enhancement on crop
   productivity under climate change in Nepal
SO ENVIRONMENTAL MONITORING AND ASSESSMENT
LA English
DT Article
DE Crop modelling; Climate change adaptation; Irrigation water management;
   Irrigation efficiency; Canal conveyance efficiency
ID WATER REQUIREMENT; RICE YIELD; IMPACT; MANAGEMENT; DATABASE; DEMAND;
   GROWTH; WHEAT
AB Nepal is expanding its irrigation facilities as an adaptive measure to climate change; however, the current canal conveyance efficiency (CCE) is low with significant water losses. In this study, we assess the potential impact of increasing CCE on the productivity of rice, maize, and wheat under different climate change scenarios (SSP1-2.6, SSP3-7.0, and SSP5-8.5), utilizing three bias-adjusted general circulation models. The study simulates potential yields at ecoregion levels for two periods: near future (2023 to 2050) and end-century (2075 to 2100). Management scenarios include the following: (1) business as usual, (2) CCE at 30%, (3) CCE at 50%, and (4) CCE at 70%. The results indicate that increasing CCE to 30%, coupled with expanded irrigated areas and adjusted fertilization rates, could boost yields by three tons per hectare across all three crops at the national level. Further increasing CCE to 50% could yield additional increases of up to 0.6 t/ha of maize and 1.2 t/ha of rice in the terai region. A CCE of 70% results in further increases of up to 2.1 t/ha of rice and 1.2 t/ha of maize. The benefits of improved CCE vary by location, with the subtropical terai region experiencing the most and the mountain regions showing the least. We conclude that there is potential to increase yields by increasing CCE to 70% in the terai region, 50% in the hill region, and 30% in the mountains. Wheat appears to benefit the least from improved CCE. This work highlights efficient irrigation as a reliable adaptive measure for future climate change in Nepal.
C1 [Basukala, Amit Kumar] Univ Hamburg, Ctr Earth Syst Res & Sustainabil CEN, Res Unit Sustainabil & Climate Risks, Grindelberg 5, D-20144 Hamburg, Germany.
   [Eschenbach, Annette] Univ Hamburg, Inst Soil Sci, Ctr EarthSystem Res & Sustainabil CEN, Hamburg, Germany.
   [Rasche, Livia] Univ Hohenheim, Land Use Econ, Wollgrasweg 43, D-70599 Stuttgart, Germany.
C3 University of Hamburg; University of Hamburg; University Hohenheim
RP Basukala, AK (corresponding author), Univ Hamburg, Ctr Earth Syst Res & Sustainabil CEN, Res Unit Sustainabil & Climate Risks, Grindelberg 5, D-20144 Hamburg, Germany.
EM amit.basukala@uni-hamburg.de; annette.eschenbach@uni-hamburg.de;
   livia.rasche@uni-hohenheim.de
RI Basukala, Amit/GYU-0678-2022
FU Universitt Hamburg (1037)
FX We express our appreciation to Dr. Prajal Pradhan and Dr. Stefan Lange
   (PIK) for their facilitation and provision of access to the ISIMIP3b
   climate data. Our gratitude also extends to Dr. Shyam Kumar Basnet
   (Fable Nepal Team), Dr. Shova Shrestha (Nepal Agricultural Research
   Council), Dr. Jeet Bahadur Chand (Prime Minister Agriculture
   Modernization Project), and Umesh Sujakhu (Department of Irrigation
   Nepal) for providing agricultural information on Nepal.
CR Abd-Elaty I, 2022, HYDROL PROCESS, V36, DOI 10.1002/hyp.14466
   Acharjee TK, 2023, WATER CONSERV SCI EN, V8, DOI 10.1007/s41101-023-00213-z
   ADB-Mid-Hill-Project, 2016, Nepal: Water resources project preparatory facility; pre-feasibility study report of mid-hill lift irrigation project (package 6)
   Alebachew Shumye Alebachew Shumye, 2018, International Journal of Water Resources and Environmental Engineering, V10, P100, DOI 10.5897/IJWREE2018.0800
   [Anonymous], 2018, GADM database of Global Administrative Areas
   Balkovic J, 2013, AGR SYST, V120, P61, DOI 10.1016/j.agsy.2013.05.008
   Baral T., 2022, Water Productivity Journal, V2
   Barkhordari S, 2020, COMPUT ELECTRON AGR, V168, DOI 10.1016/j.compag.2019.105122
   Barnekow Lilleso J.-P., 2005, Development and Environment, V2
   Basukala AK, 2022, LAND-BASEL, V11, DOI 10.3390/land11081355
   Beltran-Peña A, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab9388
   Bhattarai TN, 2023, STOCH ENV RES RISK A, V37, P965, DOI 10.1007/s00477-022-02312-0
   Bocchiola D, 2019, AGR SYST, V171, P113, DOI 10.1016/j.agsy.2019.01.008
   Boonwichai S, 2018, J CLEAN PROD, V198, P1157, DOI 10.1016/j.jclepro.2018.07.146
   Bouras E, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-55251-2
   Chattaraj S, 2014, AGR ECOSYST ENVIRON, V197, P174, DOI 10.1016/j.agee.2014.07.023
   Chen Y, 2023, COLD REG SCI TECHNOL, V216, DOI 10.1016/j.coldregions.2023.103991
   Cui W, 2023, WATER-SUI, V15, DOI 10.3390/w15050871
   Deng X, 2023, SCI TOTAL ENVIRON, V903, DOI 10.1016/j.scitotenv.2023.166711
   Department of Hydrology and Meteorology (DHM), 2015, Technical Report, V1, P41
   Di Bene C, 2022, AGRON SUSTAIN DEV, V42, DOI 10.1007/s13593-021-00745-5
   DoWRI, 2019, Irrigation Master Plan (IMP 2019)
   El-Molla DA, 2021, AIN SHAMS ENG J, V12, P2453, DOI 10.1016/j.asej.2021.01.018
   Elkamhawy E, 2021, WATER-SUI, V13, DOI 10.3390/w13213135
   Eltarabily MG, 2020, ENVIRON EARTH SCI, V79, DOI 10.1007/s12665-020-8824-9
   Gaiser T, 2010, AGR ECOSYST ENVIRON, V135, P318, DOI 10.1016/j.agee.2009.10.014
   Gao RP, 2023, AGR WATER MANAGE, V283, DOI 10.1016/j.agwat.2023.108326
   Gao YL, 2024, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1291866
   Han XD, 2020, WATER-SUI, V12, DOI 10.3390/w12092343
   Haymale HK, 2020, INT J AGRON, V2020, DOI 10.1155/2020/7065238
   Houma AA, 2021, AGR WATER MANAGE, V252, DOI 10.1016/j.agwat.2021.106908
   Jarvis A., 2008, HOLE FILLED SRTM GLO
   Jiang SY, 2017, ENVIRON EXP BOT, V141, P28, DOI 10.1016/j.envexpbot.2017.06.006
   Jones PG, 2015, AGR SYST, V139, P93, DOI 10.1016/j.agsy.2015.07.003
   Joshi DR, 2021, AGRON J, V113, P4484, DOI 10.1002/agj2.20830
   Josiah NR, 2016, ENG-J INST ENG SRI L, V49, P1
   Bigyan KC, 2021, INT J AGRON, V2021, DOI 10.1155/2021/5520741
   Kaini S, 2024, WATER-SUI, V16, DOI 10.3390/w16182595
   Kaini S, 2022, WATER-SUI, V14, DOI 10.3390/w14172728
   Kaini S, 2021, INT J WATER RESOUR D, V37, P929, DOI 10.1080/07900627.2020.1826292
   Kaini S, 2020, IRRIG DRAIN, V69, P363, DOI 10.1002/ird.2427
   Kaini S, 2020, INT J CLIMATOL, V40, P4131, DOI 10.1002/joc.6447
   Kalybekova Y, 2023, FRONT SUSTAIN FOOD S, V7, DOI 10.3389/fsufs.2023.1223645
   Karki R, 2017, CLIMATE, V5, DOI 10.3390/cli5010004
   Kulkarni AA, 2019, MOD SIMUL ENG, V2019, DOI 10.1155/2019/1803748
   Kulyakwave Peter David, 2023, Journal of Environmental Science and Management, V26, P1, DOI 10.47125/jesam/2023_1/01
   Lamichhane S., 2022, Irrigation & Drainage Systems Engineering, V11, DOI [10.37421/2168-9768.2022.11.353, DOI 10.37421/2168-9768.2022.11.353]
   Lange S, 2019, GEOSCI MODEL DEV, V12, P3055, DOI 10.5194/gmd-12-3055-2019
   Liao DH, 2024, EARTHS FUTURE, V12, DOI 10.1029/2022EF003474
   Liao XC, 2022, AGR WATER MANAGE, V274, DOI 10.1016/j.agwat.2022.107961
   Luo QS, 2015, PROCEEDINGS OF THE 5TH INTERNATIONAL YELLOW RIVER FORUM ON ENSURING WATER RIGHT OF THE RIVER'S DEMAND AND HEALTHY RIVER BASIN MAINTENANCE, VOL V, P279
   Luo WQ, 2022, AGR WATER MANAGE, V260, DOI 10.1016/j.agwat.2021.107285
   Ministry of Agricultural Development (MOAD), 2022, Agricultural statistics of cereal crops in Nepal (1979 to 2022)
   Mirgol B, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10030060
   Müller C, 2019, SCI DATA, V6, DOI 10.1038/s41597-019-0023-8
   Nam WH, 2016, IRRIGATION SCI, V34, P129, DOI 10.1007/s00271-016-0488-6
   Nofal Eman, 2024, Water Science, V38, P348, DOI 10.1080/23570008.2024.2361972
   Palazzoli I, 2015, AGR SYST, V133, P143, DOI 10.1016/j.agsy.2014.10.016
   Paudel B, 2021, WOR SOIL BOOK SER, P15, DOI 10.1007/978-3-030-80999-7_3
   Peng YQ, 2019, J CLEAN PROD, V230, P365, DOI 10.1016/j.jclepro.2019.04.347
   Pokharel C, 2019, AGRICULTURAL TRANSFORMATION IN NEPAL: TRENDS, PROSPECTS, AND POLICY OPTIONS, P323, DOI 10.1007/978-981-32-9648-0_12
   Puy A, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087360
   Quan H, 2022, AGR WATER MANAGE, V266, DOI 10.1016/j.agwat.2022.107550
   Rajwade YA, 2018, INT J PLANT PROD, V12, P203, DOI 10.1007/s42106-018-0021-3
   Rosa L, 2020, SCI ADV, V6, DOI 10.1126/sciadv.aaz6031
   Rosa L, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab4bfc
   Rowshon MK, 2019, AGR WATER MANAGE, V216, P138, DOI 10.1016/j.agwat.2019.01.002
   Sen B, 2023, WATER-SUI, V15, DOI 10.3390/w15244215
   Shan YY, 2023, AGRONOMY-BASEL, V13, DOI 10.3390/agronomy13040960
   Shrestha L, 2017, J WATER CLIM CHANGE, V8, P320, DOI 10.2166/wcc.2016.153
   Shrestha S, 2017, SCI TOTAL ENVIRON, V599, P689, DOI 10.1016/j.scitotenv.2017.05.028
   Singh A, 2017, J IRRIG DRAIN ENG, V143, DOI 10.1061/(ASCE)IR.1943-4774.0001227
   Skalsky R., 2008, The GEO-BENE database report, P58
   Sun BK, 2024, SCI TOTAL ENVIRON, V912, DOI 10.1016/j.scitotenv.2023.168489
   Syed NSB, 2021, CIV ENG J-TEHRAN, V7, P1731, DOI 10.28991/cej-2021-03091756
   Takeshima H, 2019, AGRICULTURAL TRANSFORMATION IN NEPAL: TRENDS, PROSPECTS, AND POLICY OPTIONS, P231, DOI 10.1007/978-981-32-9648-0_9
   Talchabhadel R, 2024, THEOR APPL CLIMATOL, V155, P439, DOI 10.1007/s00704-023-04646-3
   Uddin K, 2015, J ENVIRON MANAGE, V148, P82, DOI 10.1016/j.jenvman.2014.07.047
   Vollset SE, 2020, LANCET, V396, P1285, DOI 10.1016/S0140-6736(20)30677-2
   Wang GY, 2021, WATER-SUI, V13, DOI 10.3390/w13091180
   Wang N, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12091987
   Wang N, 2023, AGR WATER MANAGE, V289, DOI 10.1016/j.agwat.2023.108566
   Wang ZQ, 2022, ECOL MODEL, V467, DOI 10.1016/j.ecolmodel.2022.109952
   WECS, 2005, National water plan
   WILLIAMS JR, 1989, T ASAE, V32, P497
   WorldBank, 2022, Nepal in Data
   Wriedt G, 2009, J HYDROL, V373, P527, DOI 10.1016/j.jhydrol.2009.05.018
   Wu SJ, 2018, PADDY WATER ENVIRON, V16, P35, DOI 10.1007/s10333-017-0611-1
   Yan ZZ, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/ad03a0
   Yang JC, 2010, J EXP BOT, V61, P3177, DOI 10.1093/jxb/erq112
   Yetik AK, 2023, GESUNDE PFLANZ, V75, P1297, DOI 10.1007/s10343-022-00751-x
   Yuan Z, 2016, MITIG ADAPT STRAT GL, V21, P677, DOI 10.1007/s11027-014-9612-1
   Yuguda TK, 2020, SCI TOTAL ENVIRON, V715, DOI 10.1016/j.scitotenv.2020.136886
   Zhang J, 2018, SCI TOTAL ENVIRON, V627, P361, DOI 10.1016/j.scitotenv.2018.01.090
NR 94
TC 0
Z9 0
U1 1
U2 1
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0167-6369
EI 1573-2959
J9 ENVIRON MONIT ASSESS
JI Environ. Monit. Assess.
PD DEC
PY 2024
VL 196
IS 12
AR 1282
DI 10.1007/s10661-024-13405-4
PG 31
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA O0B1E
UT WOS:001367871000008
PM 39615017
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Pino, C
   Griffon, D
AF Pino, Carlos
   Griffon, Diego
TI Scaling up: microbiome manipulation for climate change adaptation in
   large organic vineyards
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE regenerative agriculture; ecological soil management; large-scale
   agriculture; plant microbiome; efficient microorganisms
ID CHANGE IMPACTS; COMPOST-TEA; AGRICULTURE; GRAPE; AGROECOLOGY; LESSONS;
   ECOLOGY; REGIONS; GROWTH; LEVEL
AB Regenerative agriculture offers important solutions to the enormous challenges that the climate crisis poses on food production. However, there are doubts about the possibility of implementing many of these solutions in a particularly important sector: the large scale. This paper addresses the issue, presenting examples of large-scale vineyard soil microbiome manipulation in Chile. The South American country has strongly faced the effects of climate change during the last decade and the organic viticulture sector is actively seeking strategies to adapt to the new climatic reality. Here the results of 4 experiments under real production conditions are shown. The experiments were designed to assess the effects of adding various microbial consortia to the soil on key agronomic parameters. Successful as well as unsuccessful cases are presented, allowing discussion of some conditions under which the microbiome manipulation can be expected to have positive effects. It was found that under good management conditions, incorporating effective microorganisms has positive effects on important production parameters (yield, root and vegetative growth). However, when fields yields are trending downward for prolonged periods, the incorporation of effective microbial consortia (e.g., antagonistic fungi, nutrient-fixing and nutrient-solubilizing bacteria) does not have a positive effect on the vineyard trend immediately. Similarly, even in favorable conditions the positive effects cannot be expected to be expressed in the short term (i.e., in just a few months). Therefore, its use should be conceived as a long-term strategy, not as an immediate solution to urgent management problems.
C1 [Pino, Carlos; Griffon, Diego] Ctr I D Agroecol, Curico, Chile.
   [Griffon, Diego] Univ Cent Venezuela, Fac Ciencias, Inst Zool & Ecol Trop, Lab Evoluc & Ecol Teor, Caracas, Venezuela.
C3 University of Central Venezuela
RP Griffon, D (corresponding author), Ctr I D Agroecol, Curico, Chile.; Griffon, D (corresponding author), Univ Cent Venezuela, Fac Ciencias, Inst Zool & Ecol Trop, Lab Evoluc & Ecol Teor, Caracas, Venezuela.
EM griffondiego@gmail.com
CR Agler MT, 2016, PLOS BIOL, V14, DOI 10.1371/journal.pbio.1002352
   Aguilera P, 2022, FRONT MICROBIOL, V13, DOI 10.3389/fmicb.2022.826571
   Albornoz FE, 2022, PLANT SOIL, V476, P301, DOI 10.1007/s11104-022-05479-1
   Anderson MJ, 2001, AUSTRAL ECOL, V26, P32, DOI 10.1046/j.1442-9993.2001.01070.x
   Anonymous, 2012, Bulletin OEPP, V42, P367, DOI 10.1111/epp.2610
   Anonymous, 2012, Bulletin OEPP, V42, P398, DOI 10.1111/epp.2585
   Anthony MA, 2023, P NATL ACAD SCI USA, V120, DOI 10.1073/pnas.2304663120
   Antoszewski M, 2022, METABOLITES, V12, DOI 10.3390/metabo12111100
   Aparicio E., 2021, El Mostrador
   Archer David., 2010, The Climate Crisis: An Introductory Guide to Climate Change
   Arif I, 2020, TRENDS BIOTECHNOL, V38, P1385, DOI 10.1016/j.tibtech.2020.04.015
   Arora N. K., 2019, Environmental Sustainability, V2, P95, DOI [10.1007/s42398-019-00078-w, DOI 10.1007/S42398-019-00078-W]
   Barrow Jerry R, 2008, Commun Integr Biol, V1, P69
   Basu A, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031140
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Berg G, 2020, MICROBIOME, V8, DOI 10.1186/s40168-020-00875-0
   Blake William., 1988, COMPLETE POETRY PROS
   Bohm W., 1979, Methods of studying root systems.
   Bolker BM, 2009, TRENDS ECOL EVOL, V24, P127, DOI 10.1016/j.tree.2008.10.008
   Box G. E. P., 1979, Robustness in Statistics, P201, DOI [10.1016/B978-0-12-438150-6.50018-2, DOI 10.1016/B978-0-12-438150-6.50018-2]
   BRONSTEIN JL, 1994, TRENDS ECOL EVOL, V9, P214, DOI 10.1016/0169-5347(94)90246-1
   Carreiras J, 2023, MICROORGANISMS, V11, DOI 10.3390/microorganisms11040856
   Ceccarelli S., 2022, Seeds for diversity and inclusion
   Ceccarelli S, 2020, ISCIENCE, V23, DOI 10.1016/j.isci.2020.101815
   Chakrabarty Dipesh., 2021, The Climate of History in a Planetary Age
   Chouhan GK, 2021, MICROBIOL RES, V248, DOI 10.1016/j.micres.2021.126763
   Coombe B. G., 1987, Acta Horticulturae, P23
   Crowley W. K., 2000, Yearbook, V26, P87
   Curadelli F, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15021357
   Dag O, 2017, COMMUN STAT-SIMUL C, V46, P6424, DOI 10.1080/03610918.2016.1204458
   Dalgaard T, 2003, AGR ECOSYST ENVIRON, V100, P39, DOI 10.1016/S0167-8809(03)00152-X
   de Araujo Avila G.M., 2021, Res. Soc. Dev, V10, pe40610817515, DOI [10.33448/rsd-v10i8.17515, DOI 10.33448/RSD-V10I8.17515]
   De Mendiburu Felipe, 2023, CRAN
   de Orduña RM, 2010, FOOD RES INT, V43, P1844, DOI 10.1016/j.foodres.2010.05.001
   del Pozo A, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102769
   Droulia F, 2021, ATMOSPHERE-BASEL, V12, DOI 10.3390/atmos12040495
   Duddy OP, 2021, PLOS PATHOG, V17, DOI 10.1371/journal.ppat.1009074
   Eisenhauer N, 2010, ECOLOGY, V91, P485, DOI 10.1890/08-2338.1
   Elkin Lisa A., 2021, UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, P754, DOI 10.1145/3472749.3474784
   Eon P, 2023, J ENVIRON MANAGE, V325, DOI 10.1016/j.jenvman.2022.116560
   FAO/OIV, 2021, Annual assessment of the world vine and wine sector in 2021 international organisation of vine and wine intergovernmental organisation
   Fernández FJ, 2019, REG ENVIRON CHANGE, V19, P89, DOI 10.1007/s10113-018-1380-0
   Ferreira MJ, 2021, APPL SCI-BASEL, V11, DOI 10.3390/app11052233
   Fisher S.R.A., 1999, The genetical theory of natural selection
   Fraga H, 2012, FOOD ENERGY SECUR, V1, P94, DOI 10.1002/fes3.14
   Fraga H, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10093030
   Greer DH, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00491
   Greer DH, 2010, FUNCT PLANT BIOL, V37, P206, DOI 10.1071/FP09209
   Griffon D, 2020, AGROECOL SUST FOOD, V44, P795, DOI 10.1080/21683565.2019.1649781
   Gupta A, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23073741
   Gupta R, 2021, PHYSIOL MOL BIOL PLA, V27, P165, DOI 10.1007/s12298-021-00927-1
   Hadarits Monica, 2010, Journal of Wine Research, V21, P167, DOI 10.1080/09571264.2010.530109
   Haddad E., 2020, Wine Economics and Policy, V9, P23, DOI 10.36253/web-7665
   Hanusch M, 2023, ECOSYSTEMS, V26, P1819, DOI 10.1007/s10021-023-00867-9
   Hernandez M. J., 2021, Rev. Mod. Mat. Sist. Biol, V1, P73
   Horn D.J., 1988, ECOLOGICAL APPROACH
   Ingham E.R., 2000, COMPOST TEA BREWING
   Ingham E. R, 2003, COMPOST TEA BREWING
   Johns C., 2017, Fut Direct Intl
   Jones G. V., 2022, MANAGING WINE QUAL, P727, DOI DOI 10.1016/B978-0-08-102067-8.00015-4
   Kalamarakis AE, 2007, J PESTIC SCI, V32, P1, DOI 10.1584/jpestics.K06-13
   Kay M., 2021, R package version 0.11.1.
   Ladau J., 2023, PREPRINT
   Lareen A, 2016, PLANT MOL BIOL, V90, P575, DOI 10.1007/s11103-015-0417-8
   Lawson J., 2015, DESIGN ANAL EXPT R, DOI DOI 10.1201/B17883
   Lazarova S, 2021, DIVERSITY-BASEL, V13, DOI 10.3390/d13020064
   Lederberg J, 2001, SCIENTIST, V15, P8
   LEON JA, 1978, ECOLOGY, V59, P457, DOI 10.2307/1936575
   LEVINS R, 1966, AM SCI, V54, P421
   Lovelock James., 2007, REVENGE GAIA EARTHS
   Luczka W, 2020, AGRICULTURE-BASEL, V10, DOI 10.3390/agriculture10110536
   Malek K, 2018, J HYDROL, V561, P444, DOI 10.1016/j.jhydrol.2017.11.046
   Malhi GS, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13031318
   Marchesi JR, 2015, MICROBIOME, V3, DOI 10.1186/s40168-015-0094-5
   Margulis L., 1991, Symbiosis as a Source of Evolutionary Innovation: Special Ion and Morphogenesis
   Martinez-Viveros O., 2010, Journal of Soil Science and Plant Nutrition, V10, P293
   Mayer A, 2022, EUROCHOICES, V21, P27, DOI 10.1111/1746-692X.12373
   Meemken EM, 2018, ANNU REV RESOUR ECON, V10, P39, DOI 10.1146/annurev-resource-100517-023252
   Mesa-Marín J, 2019, HALOPHYTES AND CLIMATE CHANGE: ADAPTIVE MECHANISMS AND POTENTIAL USES, P240, DOI 10.1079/9781786394330.0240
   Mesny F, 2023, EMBO REP, V24, DOI 10.15252/embr.202357455
   Mhlongo MI, 2018, FRONT PLANT SCI, V9, DOI 10.3389/fpls.2018.00112
   Migliorini P, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-017-0472-4
   Mills-Novoa M, 2016, PROF GEOGR, V68, P561, DOI 10.1080/00330124.2015.1124788
   Mishra A, 2023, MICROB ECOL, V85, P669, DOI 10.1007/s00248-022-01962-5
   Molefe RR, 2023, SYMBIOSIS, V90, P231, DOI 10.1007/s13199-023-00941-9
   Montgomery D., 2004, Diseno y analisis de experimentos
   Morales-Castilla I, 2020, P NATL ACAD SCI USA, V117, P2864, DOI 10.1073/pnas.1906731117
   Mosedale JR, 2016, GLOBAL CHANGE BIOL, V22, P3814, DOI 10.1111/gcb.13406
   Moutinho-Pereira JM, 2004, PHOTOSYNTHETICA, V42, P81, DOI 10.1023/B:PHOT.0000040573.09614.1d
   Nicol P, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12197842
   Notununu I, 2022, PEDOSPHERE, V32, P90, DOI 10.1016/S1002-0160(21)60051-6
   Oksanen Jari, 2022, CRAN
   Ollat N, 2017, OENO ONE, V51, P59, DOI 10.20870/oeno-one.2016.0.0.1872
   Pane C, 2012, CROP PROT, V38, P80, DOI 10.1016/j.cropro.2012.03.012
   Pascale A, 2020, FRONT PLANT SCI, V10, DOI 10.3389/fpls.2019.01741
   Pekdemir C, 2018, GLOBAL ENVIRON CHANG, V50, P289, DOI 10.1016/j.gloenvcha.2018.04.010
   Petit S, 2020, ADV ECOL RES, V63, P1, DOI 10.1016/bs.aecr.2020.09.001
   Pino C.A., 2013, Manual de Vitivinicultura Organica
   Qiao SA, 2023, NEW PHYTOL, V240, P68, DOI 10.1111/nph.19122
   Redondo-Gómez S, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12092082
   Reganold JP, 2016, NAT PLANTS, V2, DOI [10.1038/NPLANTS.2015.221, 10.1038/nplants.2015.221]
   Reynolds HL, 2003, ECOLOGY, V84, P2281, DOI 10.1890/02-0298
   Roco L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091648
   Roco L, 2014, ENVIRON SCI POLICY, V44, P86, DOI 10.1016/j.envsci.2014.07.008
   Roughgarden J, 2020, Philos Theory Pract Biol, V12, P2, DOI DOI 10.3998/PTPBIO.16039257.0012.002
   Roughgarden J, 2023, AM NAT, DOI 10.1086/723782
   Sajn N., 2023, European Parliament Briefing
   Sandrini M, 2022, INT J MOL SCI, V23, DOI 10.3390/ijms23031091
   Santillán D, 2019, SCI TOTAL ENVIRON, V657, P839, DOI 10.1016/j.scitotenv.2018.12.079
   Santos JA, 2020, APPL SCI-BASEL, V10, DOI 10.3390/app10093092
   Schütz L, 2018, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.02204
   Shen XJ, 2018, J GEOPHYS RES-ATMOS, V123, P4073, DOI 10.1002/2017JD027819
   Singh A., 2020, PLANT MICROBE SYMBIO, P129, DOI 10.1007/978-3-030-36,248-5_8
   Singh JS, 2011, AGR ECOSYST ENVIRON, V140, P339, DOI 10.1016/j.agee.2011.01.017
   St. Martin C. C. G., 2014, CAB Reviews, V9, P1, DOI 10.1079/PAVSNNR20149032
   St Martin C. C. G., 2020, Biology of composts. Soil biology
   Storchmann K, 2016, J WINE ECON, V11, P1, DOI 10.1017/jwe.2016.11
   Tao K, 2019, CURR OPIN MICROBIOL, V49, P83, DOI 10.1016/j.mib.2019.10.005
   Team RC, 2021, R LANGUAGE ENV STAT
   Toro M., 2020, Life on land. Encyclopedia of the UN sustainable development goals
   Trivedi P, 2020, NAT REV MICROBIOL, V18, P607, DOI 10.1038/s41579-020-0412-1
   van Leeuwen C, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9090514
   Vandermeer J., 2018, ECOLOGICAL COMPLEXIT
   Vicuna S., 2021, Water Resources of Chile. World Water Resources
   Wall DH, 1999, BIOSCIENCE, V49, P109, DOI 10.2307/1313536
   Whipps JM., 1988, FUNGI BIOL CONTROL S, P161, DOI DOI 10.1002/JCTB.280480109
   White C, 2020, AM J ECON SOCIOL, V79, P799, DOI 10.1111/ajes.12334
   Wickham H., 2009, ggplot2: Elegant Graphics for Data Analysis, DOI [10.1007/978-0-387-98141-3, 10.1007/978-3-319-24277-4]
   Witze A, 2022, NATURE, V608, P464, DOI 10.1038/d41586-022-02114-y
   Wobbrock JO, 2011, 29TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, P143, DOI 10.1145/1978942.1978963
   Wolfgang A, 2023, ENVIRON MICROBIOME, V18, DOI 10.1186/s40793-023-00515-8
   Xu YW, 2012, CLIM DYNAM, V39, P1613, DOI 10.1007/s00382-011-1284-x
   Young G, 2010, CLIMATIC CHANGE, V98, P245, DOI 10.1007/s10584-009-9665-4
NR 133
TC 1
Z9 1
U1 3
U2 6
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 MAR 13
PY 2024
VL 8
AR 1285981
DI 10.3389/fsufs.2024.1285981
PG 14
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA MB3L7
UT WOS:001191126000001
OA gold
DA 2025-01-10
ER

PT J
AU Liu, JC
   Huang, GH
   Song, TNY
   Wang, SG
   Li, YP
AF Liu, Jiachen
   Huang, Guohe
   Song, Tangnyu
   Wang, Shuguang
   Li, Yongping
TI Stepwise clustering ensemble downscaling for future drought prediction
   under climate change: A case study of the Yangtze River Basin
SO JOURNAL OF HYDROLOGY
LA English
DT Article
DE Climate change; Yangtze River Basin; Stepwise clustered; Downscaling;
   Drought indices
ID HYDROLOGICAL DROUGHTS; CHANGE IMPACTS; AIR-QUALITY; PRECIPITATION;
   PROJECTIONS; SERIES
AB Drought is a highly destructive natural disaster that can even lead to other complex and volatile extreme weather events in the Yangtze River Basin (YRB). Researching potential changes in future drought occurrences is crucial for developing effective climate change adaptation strategies under a warming climate. In this study, a stepwise clustered ensemble drought downscaling (SCEDD) model has been proposed, and two internationally recognized drought indices (the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI)) are used to evaluate drought events in YRB. The validation results show that the proposed model can be used to generate robust climate projections (daily precipitation) based on simulation. On this basis, SPI and SPEI are calculated from historical and future forecasts (Tmean and precipitation). The study suggests that predicted precipitation will increase dramatically in the future (2075---2099) at all stations under the SSP245 and SSP585 scenarios. Drought events under SPI increased by 1.5% and decreased by 1.2% during 2075---2099 under SSP245 and SSP585, respectively. In contrast, drought events in SPEI increased by 16.5% and 33.7%, respectively. In addition, drought events under SPI present an increase in spring, summer, and fall, with a decrease in winter under both SSPs. For comparison, drought events under SPEI will increase substantially in all seasons. In particular, drought predictions made using SPEI are more accurate and trustworthy because SPEI takes temperature into account. The results obtained can provide decision -makers in the water resources management sector with a reliable forecast of drought and minimize drought -related losses.
C1 [Liu, Jiachen; Huang, Guohe; Wang, Shuguang] Shandong Univ, Sch Environm Sci & Engn, Qingdao 266237, Peoples R China.
   [Huang, Guohe; Song, Tangnyu] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada.
   [Li, Yongping] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, China Canada Energy Environm & Ecol Res,UR BNU, Beijing 100875, Peoples R China.
C3 Shandong University; University of Regina; Beijing Normal University
RP Huang, GH (corresponding author), Shandong Univ, Sch Environm Sci & Engn, Qingdao 266237, Peoples R China.
EM huang@iseis.org
RI Huang, Guohe/H-5306-2011
FU Natural Science Foundation [U2040212, 52221003, 52279002, 52279003];
   Natural Science and Engineering Research Council of Canada
FX This research was supported by the Natural Science Foundation (U2040212,
   52221003, 52279002, 52279003) , and Natural Science and Engineering
   Research Council of Canada. We are also very grateful for the helpful
   inputs from the Editor and anonymous reviewers.
CR [Anonymous], 1962, Mathematical Statistics, DOI DOI 10.1002/BIMJ.19640060317
   Cao FQ, 2019, THEOR APPL CLIMATOL, V138, P1189, DOI 10.1007/s00704-019-02895-9
   Chen X, 2022, NAT HAZARDS, V110, P1305, DOI 10.1007/s11069-021-04992-3
   Moraes AGD, 2023, INT J CLIMATOL, V43, P979, DOI 10.1002/joc.7855
   Dikbas F, 2017, INT J CLIMATOL, V37, P4065, DOI 10.1002/joc.4998
   Duan RX, 2021, EARTHS FUTURE, V9, DOI 10.1029/2021EF002215
   Duan RX, 2021, ENVIRON RES, V196, DOI 10.1016/j.envres.2020.110368
   Espinosa LA, 2020, WATER RESOUR MANAG, V34, P4449, DOI 10.1007/s11269-020-02668-4
   Fovargue RE, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/abdd58
   Hao HR, 2023, NAT HAZARDS, V118, P2097, DOI 10.1007/s11069-023-06083-x
   Hao ZC, 2015, J HYDROL, V527, P668, DOI 10.1016/j.jhydrol.2015.05.031
   Hou YK, 2019, THEOR APPL CLIMATOL, V138, P27, DOI 10.1007/s00704-019-02794-z
   HUANG GH, 1992, ATMOS ENVIRON B-URB, V26, P349, DOI 10.1016/0957-1272(92)90010-P
   Jiang JL, 2022, J CLIMATE, V35, P3699, DOI 10.1175/JCLI-D-22-0138.1
   Jing RZ, 2021, J CLIMATE, V34, P9349, DOI 10.1175/JCLI-D-21-0071.1
   Ju H, 2013, CLIMATIC CHANGE, V120, P313, DOI 10.1007/s10584-013-0803-7
   Khan MI, 2016, WATER RESOUR MANAG, V30, P4839, DOI 10.1007/s11269-016-1456-x
   Kong R, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136163
   Kuzucu A, 2023, WATER RESOUR MANAG, V37, P1421, DOI 10.1007/s11269-023-03434-y
   Leng GY, 2015, GLOBAL PLANET CHANGE, V126, P23, DOI 10.1016/j.gloplacha.2015.01.003
   Li KL, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR031065
   Li XF, 2022, GEOPHYS RES LETT, V49, DOI 10.1029/2022GL099925
   Liu YW, 2021, J HYDROL, V593, DOI 10.1016/j.jhydrol.2020.125906
   Lu C, 2021, CLIM DYNAM, V56, P3313, DOI 10.1007/s00382-021-05644-9
   Ma XW, 2022, ATMOS ENVIRON, V269, DOI 10.1016/j.atmosenv.2021.118850
   Mei H, 2021, J ENVIRON INFORM, V38, P145, DOI 10.3808/jei.202100458
   Qing YM, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-28752-4
   Ren JY, 2022, INT J CLIMATOL, V42, P2835, DOI 10.1002/joc.7393
   Roste J, 2022, CLIM DYNAM, V59, P2445, DOI 10.1007/s00382-022-06219-y
   Shamir E, 2019, J HYDROL X, V2, DOI 10.1016/j.hydroa.2019.100019
   She DX, 2017, SCI TOTAL ENVIRON, V607, P1151, DOI 10.1016/j.scitotenv.2017.07.007
   Sohn SJ, 2016, CLIM DYNAM, V46, P3305, DOI 10.1007/s00382-015-2770-3
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Tian Q, 2022, CATENA, V209, DOI 10.1016/j.catena.2021.105804
   Um MJ, 2022, J ENVIRON MANAGE, V317, DOI 10.1016/j.jenvman.2022.115494
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wang F, 2022, WATER RESOUR RES, V58, DOI 10.1029/2021WR030035
   Wang R, 2022, INT J CLIMATOL, V42, P10126, DOI 10.1002/joc.7887
   Wang XQ, 2015, ENVIRON SCI POLLUT R, V22, P14220, DOI 10.1007/s11356-015-4664-7
   Wang Y, 2023, J HYDROL, V623, DOI 10.1016/j.jhydrol.2023.129878
   Wen YZ, 2023, INT J CLIMATOL, V43, P2318, DOI 10.1002/joc.7977
   Yu XB, 2021, NAT HAZARDS, V107, P2337, DOI 10.1007/s11069-020-04418-6
   Xu ZF, 2015, J GEOPHYS RES-ATMOS, V120, P3063, DOI 10.1002/2014JD022958
   Yan X, 2021, J HYDROL, V601, DOI 10.1016/j.jhydrol.2021.126640
   Yuan X, 2023, SCIENCE, V380, P187, DOI 10.1126/science.abn6301
   Zaitchik BF, 2013, J HYDROMETEOROL, V14, P360, DOI 10.1175/JHM-D-12-069.1
   Zarch MAA, 2015, J HYDROL, V526, P183, DOI 10.1016/j.jhydrol.2014.09.071
   Zhai YY, 2019, CLIM DYNAM, V52, P3455, DOI 10.1007/s00382-018-4340-y
   Zhang B, 2022, CLIM DYNAM, V58, P49, DOI 10.1007/s00382-021-05889-4
   Zhang GX, 2022, CLIM DYNAM, V59, P1665, DOI 10.1007/s00382-021-06064-5
   Zhang H, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.127007
   Zhao QZ, 2020, J CLIMATE, V33, P10727, DOI 10.1175/JCLI-D-19-0971.1
   Zhao TTG, 2017, J CLIMATE, V30, P3185, DOI 10.1175/JCLI-D-16-0652.1
   Zhong YL, 2023, SCI TOTAL ENVIRON, V883, DOI 10.1016/j.scitotenv.2023.163403
   Zhou ZQ, 2023, SCI TOTAL ENVIRON, V899, DOI 10.1016/j.scitotenv.2023.165618
   Zhuang XW, 2017, INT J CLIMATOL, V37, P2961, DOI 10.1002/joc.4892
NR 56
TC 2
Z9 2
U1 23
U2 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
J9 J HYDROL
JI J. Hydrol.
PD APR
PY 2024
VL 633
AR 131005
DI 10.1016/j.jhydrol.2024.131005
EA MAR 2024
PG 18
WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Water Resources
GA QC9Z1
UT WOS:001218809900001
DA 2025-01-10
ER

PT J
AU Chow, TN
   Tam, CY
   Chen, JL
   Hu, CX
AF Chow, Tsun Ngai
   Tam, Chi Yung
   Chen, Jilong
   Hu, Chenxi
TI Effects of Background Synoptic Environment in Controlling South China
   Sea Tropical Cyclone Intensity and Size Changes in Pseudo-Global Warming
   Experiments
SO JOURNAL OF CLIMATE
LA English
DT Article
DE Tropical cyclones; Climate change; Uncertainty
ID VERTICAL WIND SHEAR; SURFACE TEMPERATURE; MODEL; SENSITIVITY;
   CONVECTION; IMPACT; SIMULATION; HURRICANES; DYNAMICS; TRACK
AB Assessing how global warming affects tropical cyclones (TC) is immensely important for climate change adaptation and hazard mitigation. However, projected intensity and size change can vary greatly among different individual storms, even under the same forcing in pseudo-global warming (PGW) experiments. Here we hypothesize that these variations are related to the historical environment in which each TC was embedded. Twenty-five TCs in the South China Sea (SCS) region were simulated using the Weather Research and Forecasting (WRF) Model. Their changes in the near (2036-65) and far future (2075-99) following the representative concentration pathways 8.5 (RCP8.5) and 4.5 (RCP4.5) under phase 5 of the Coupled Model Intercomparison Project (CMIP5) were investigated by the PGW technique. The mean changes in TC intensity and gale -force wind radius (R17) in the SCS were +6.4% and +1.5% for a degree celsius warming, respectively. Multiple linear regression and stepwise regression analysis revealed that storm intensity variations were positively correlated with historical sea surface temperature and negatively with outer (i.e., outside the TC's R17) atmospheric instability, while the R17 variations correlated positively with outer midtropospheric relative humidity (RH) and surface outer wind speed (OWS). Ertel potential vorticity (EPV) diagnostics further showed a moister SCS background can cause stronger diabatic heating and EPV production at the spiral rainbands under PGW, which increases R17. Additionally, stronger background absolute angular momentum (AAM) promoted stronger AAM influx, leading to larger R17. Implications were drawn to explain the uncertainties in projected TC intensity and size due to natural variability.
C1 [Chow, Tsun Ngai; Tam, Chi Yung; Hu, Chenxi] Chinese Univ Hong Kong, Earth & Atmospher Sci Program, Hong Kong, Peoples R China.
   [Tam, Chi Yung] Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen, Peoples R China.
   [Chen, Jilong] Shenzhen Inst Meteorol Innovat, Guangdong Hong Kong Macao Greater Bay Area Weather, Shenzhen, Peoples R China.
C3 Chinese University of Hong Kong; CUHK Shenzhen Research Institute; The
   Chinese University of Hong Kong, Shenzhen
RP Chow, TN (corresponding author), Chinese Univ Hong Kong, Earth & Atmospher Sci Program, Hong Kong, Peoples R China.
EM francis.tam@cuhk.edu.hk
RI Tam, Francis/T-7218-2018; Chen, Jilong/ITV-4714-2023
FU Chinese University of Hong Kong [A.02.20.00401]; National Natural
   Science Foundation of China [42105161]; CUHK Central High-Performance
   Computing Cluster
FX This work is jointly supported by the National Key Research and
   Development Program of China (Ref. 2019YFC1510400) , the Shenzhen
   Research Institute, the Chinese University of Hong Kong (Grant
   A.02.20.00401) , and the National Natural Science Foundation of China
   (Ref. 42105161) . We acknowledge the support of the CUHK Central
   High-Performance Computing Cluster, on which the computation in this
   work has been performed.r Chinese University of Hong Kong (Grant
   A.02.20.00401) , and the National Natural Science Foundation of China
   (Ref. 42105161) . We acknowledge the support of the CUHK Central
   High-Performance Computing Cluster, on which the computa-tion in this
   work has been performed.
CR Bister M, 1998, METEOROL ATMOS PHYS, V65, P233, DOI 10.1007/BF01030791
   C3S, 2024, ECMWR
   Camargo SJ, 2005, J CLIMATE, V18, P2996, DOI 10.1175/JCLI3457.1
   Camargo SJ, 2016, WIRES CLIM CHANGE, V7, P211, DOI 10.1002/wcc.373
   Chan KTF, 2015, Q J ROY METEOR SOC, V141, P525, DOI 10.1002/qj.2374
   Chan KTF, 2014, Q J ROY METEOR SOC, V140, P2235, DOI 10.1002/qj.2292
   Chan KTF, 2013, MON WEATHER REV, V141, P3985, DOI 10.1175/MWR-D-12-00204.1
   Chen JL, 2022, J CLIMATE, V35, P4905, DOI 10.1175/JCLI-D-21-0436.1
   Chen JL, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-58824-8
   Copernicus Climate Change Service, 2024, ECMWR, DOI 10.24381/CDS.9D44A987
   Copernicus Climate Change Service, 2024, ECMWR, DOI 10.24381/CDS.3B4B5BC9
   Copernicus Climate Change Service, 2024, ECMWR
   Del Genio AD, 2012, SURV GEOPHYS, V33, P637, DOI 10.1007/s10712-011-9148-9
   Derbyshire SH, 2004, Q J ROY METEOR SOC, V130, P3055, DOI 10.1256/qj.03.130
   DUDHIA J, 1989, J ATMOS SCI, V46, P3077, DOI 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2
   Emanuel K, 2000, MON WEATHER REV, V128, P1139, DOI 10.1175/1520-0493(2000)128<1139:ASAOTC>2.0.CO;2
   European Centre for Medium-Range Weather Forecasts, 2014, CISL RDA, DOI 10.5065/D6VQ30QG
   EVANS JL, 1993, J CLIMATE, V6, P1133, DOI 10.1175/1520-0442(1993)006<1133:SOTCIT>2.0.CO;2
   Frank WM, 2001, MON WEATHER REV, V129, P2249, DOI 10.1175/1520-0493(2001)129<2249:EOVWSO>2.0.CO;2
   Gentry MS, 2010, MON WEATHER REV, V138, P688, DOI 10.1175/2009MWR2976.1
   Gutmann ED, 2018, J CLIMATE, V31, P3643, DOI 10.1175/JCLI-D-17-0391.1
   Hill KA, 2009, MON WEATHER REV, V137, P3294, DOI 10.1175/2009MWR2679.1
   Hill KA, 2009, MON WEATHER REV, V137, P745, DOI 10.1175/2008MWR2220.1
   HOLLAND GJ, 1984, Q J ROY METEOR SOC, V110, P723, DOI 10.1002/qj.49711046510
   HOLLAND GJ, 1983, J ATMOS SCI, V40, P328, DOI 10.1175/1520-0469(1983)040<0328:TCMEIP>2.0.CO;2
   Hong SY, 2006, MON WEATHER REV, V134, P2318, DOI 10.1175/MWR3199.1
   Jiménez PA, 2012, MON WEATHER REV, V140, P898, DOI 10.1175/MWR-D-11-00056.1
   Kain JS, 2004, J APPL METEOROL, V43, P170, DOI 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2
   Kim HS, 2014, J CLIMATE, V27, P8034, DOI 10.1175/JCLI-D-13-00475.1
   Knapp K. R., 2018, International best track archive for climate stewardship (IBTrACS) project, version 4 Dataset, DOI DOI 10.25921/82TY-9-16
   Knapp KR, 2010, B AM METEOROL SOC, V91, P363, DOI 10.1175/2009BAMS2755.1
   Knutson T, 2020, B AM METEOROL SOC, V101, pE303, DOI 10.1175/BAMS-D-18-0194.1
   Knutson TR, 2015, J CLIMATE, V28, P7203, DOI 10.1175/JCLI-D-15-0129.1
   Knutson TR, 2013, J CLIMATE, V26, P6591, DOI 10.1175/JCLI-D-12-00539.1
   Lackmann GM, 2002, MON WEATHER REV, V130, P59, DOI 10.1175/1520-0493(2002)130<0059:CFPVMT>2.0.CO;2
   Lavers DA, 2022, Q J ROY METEOR SOC, V148, P3152, DOI 10.1002/qj.4351
   Leroux MD, 2018, TROP CYCLONE RES REV, V7, P85, DOI 10.6057/2018TCRR02.02
   Li H, 2018, J ADV MODEL EARTH SY, V10, P165, DOI 10.1002/2017MS001199
   Mlawer EJ, 1997, J GEOPHYS RES-ATMOS, V102, P16663, DOI 10.1029/97JD00237
   Montgomery MT, 2014, AUST METEOROL OCEAN, V64, P37, DOI 10.22499/2.6401.005
   Muller CJ, 2011, J CLIMATE, V24, P2784, DOI 10.1175/2011JCLI3876.1
   Persing J, 2013, ATMOS CHEM PHYS, V13, P12299, DOI 10.5194/acp-13-12299-2013
   Poli P, 2016, J CLIMATE, V29, P4083, DOI 10.1175/JCLI-D-15-0556.1
   Ramsay HA, 2011, J CLIMATE, V24, P183, DOI 10.1175/2010JCLI3690.1
   Reed KA, 2015, GEOPHYS RES LETT, V42, P3603, DOI 10.1002/2015GL063974
   Roberts MJ, 2020, J CLIMATE, V33, P2557, DOI 10.1175/JCLI-D-19-0639.1
   Rogers E., 2001, NWS Tech. Proc. Bull., V488
   ROTUNNO R, 1987, J ATMOS SCI, V44, P542, DOI 10.1175/1520-0469(1987)044<0542:AAITFT>2.0.CO;2
   Schenkel BA, 2023, J CLIMATE, V36, P359, DOI 10.1175/JCLI-D-22-0066.1
   Seeley JT, 2015, GEOPHYS RES LETT, V42, P10429, DOI 10.1002/2015GL066199
   SHAPIRO LJ, 1982, J ATMOS SCI, V39, P378, DOI 10.1175/1520-0469(1982)039<0378:TROBHT>2.0.CO;2
   Singh MS, 2013, GEOPHYS RES LETT, V40, P4398, DOI 10.1002/grl.50796
   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]
   Srinivas D, 2014, NAT HAZARDS, V73, P1043, DOI 10.1007/s11069-014-1125-4
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Tewari M., 2004, Abstract, 20th Conf. on Weather Analysis and Forecasting/16th Conf. on Numerical Weather Prediction, Seattle, WA., V14, p2A
   Tuleya RE, 2016, J ATMOS SCI, V73, P3803, DOI 10.1175/JAS-D-16-0045.1
   Wang S, 2019, J ATMOS SCI, V76, P1808, DOI 10.1175/JAS-D-18-0302.1
   Wang S, 2018, ADV ATMOS SCI, V35, P981, DOI 10.1007/s00376-018-7277-5
   Wang YQ, 2009, J ATMOS SCI, V66, P1250, DOI 10.1175/2008JAS2737.1
   WEATHERFORD CL, 1988, MON WEATHER REV, V116, P1044, DOI 10.1175/1520-0493(1988)116<1044:TSARBA>2.0.CO;2
   Wilks D. S., 2011, Statistical methods in the atmospheric sciences, V100
   Wu LT, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053546
   Yamada Y, 2017, J CLIMATE, V30, P9703, DOI 10.1175/JCLI-D-17-0068.1
   Ying Y, 2012, J METEOROL SOC JPN, V90, P755, DOI 10.2151/jmsj.2012-512
   Zeng ZH, 2007, MON WEATHER REV, V135, P38, DOI 10.1175/MWR3278.1
NR 66
TC 1
Z9 1
U1 5
U2 5
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 MAR
PY 2024
VL 37
IS 5
DI 10.1175/JCLI-D-23-0503.1
PG 22
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA A4M4G
UT WOS:001282288600001
DA 2025-01-10
ER

PT J
AU Sousa-Silva, R
   Zanocco, C
AF Sousa-Silva, Rita
   Zanocco, Chad
TI Assessing public attitudes towards urban green spaces as a heat
   adaptation strategy: Insights from Germany
SO LANDSCAPE AND URBAN PLANNING
LA English
DT Article
DE Heat waves; Urban heat; Urban greening; Green space use; Climate change
   adaptation; Heat-related health impacts
ID CLIMATE-CHANGE; HEALTH; MORTALITY; IMPACT; CITIES; SERVICES; ACCESS;
   PARKS; MODEL; COOL
AB Urban green spaces are recognized as essential elements of cities. They offer multiple benefits, including mitigating the urban heat island effect and its negative impact on public health. They also present opportunities for people to interact, recreate, and connect with nature. To explore attitudes towards urban green spaces, we surveyed 2253 German adults after the hot summer of 2022 to identify their preferences, frequency of use, and perceived benefits of green spaces. We were particularly interested in their perceptions and views of urban green spaces as an adaptation measure against heat stress. Our findings reveal that most respondents have a green space within a 15-minute walk from their home, with over 80% indicating there is plenty of nearby green space that is easy to access and well-maintained. Health and well-being emerged as primary motivators for visits, with many prioritizing relaxation over physical activity or social interaction. Despite their positive attitudes toward green spaces, fewer than 20% of respondents frequented them on very warm days, suggesting that many residents may not recognize the cooling potential of green spaces during heat events. However, over 70% of respondents supported prioritizing efforts towards establishing more parks and shaded green spaces, and over 80% supported planting more trees along streets as a heat mitigation and adaptation strategy. As climate change intensifies, it is vital for planners, policymakers, and emergency managers to understand and incorporate perceptions about green spaces in the decision-making process, ensuring that they are effectively promoted and utilized as urban heat mitigation measures.
C1 [Sousa-Silva, Rita] Leiden Univ, Inst Environm Sci, Dept Environm Biol, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
   [Sousa-Silva, Rita] Univ Freiburg, Freiburg Inst Adv Studies, Young Acad Sustainabil Res, Albertstr 19, D-79104 Freiburg, Germany.
   [Zanocco, Chad] Stanford Univ, Civil & Environm Engn, 473 Via Ortega Room 311, Stanford, CA 94305 USA.
   [Sousa-Silva, Rita] Leiden Univ, Inst Environm Sci, Dept Environm Biol, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
C3 Leiden University - Excl LUMC; Leiden University; University of
   Freiburg; Stanford University; Leiden University; Leiden University -
   Excl LUMC
RP Sousa-Silva, R (corresponding author), Leiden Univ, Inst Environm Sci, Dept Environm Biol, Einsteinweg 2, NL-2333 CC Leiden, Netherlands.
EM a.r.de.sousa.e.silva@cml.leidenuniv.nl; czanocco@stanford.edu
RI ; Sousa-Silva, Rita/K-9520-2013
OI Zanocco, Chad/0000-0002-5015-4433; Sousa-Silva, Rita/0000-0001-8640-6121
FU Eva Mayr-Stihl Foundation; Young Academy for Sustainability Research at
   the University of Freiburg
FX RSS was supported by a fellowship from the Eva Mayr-Stihl Foundation.
   The survey study was funded by an internal grant from the Young Academy
   for Sustainability Research at the University of Freiburg. The authors
   wish to thank Rachel R. Y. Oh and Kevin Rozario for the validated
   translation of the original English version of the naturerelatedness
   scale into German.
CR Althubaiti A, 2016, J MULTIDISCIP HEALTH, V9, P211, DOI 10.2147/JMDH.S104807
   [Anonymous], 2017, Urban green spaces: a brief for action
   Aram F, 2019, HELIYON, V5, DOI 10.1016/j.heliyon.2019.e01339
   Arnberger A, 2021, URBAN FOR URBAN GREE, V63, DOI 10.1016/j.ufug.2021.127193
   Arnberger A, 2017, URBAN FOR URBAN GREE, V21, P102, DOI 10.1016/j.ufug.2016.11.012
   Ballester J, 2023, NAT MED, V29, P1857, DOI 10.1038/s41591-023-02419-z
   Barbosa O, 2007, LANDSCAPE URBAN PLAN, V83, P187, DOI 10.1016/j.landurbplan.2007.04.004
   Beckmann SK, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17030874
   Bertram C, 2017, LANDSCAPE URBAN PLAN, V159, P5, DOI 10.1016/j.landurbplan.2016.10.006
   Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Bundesregierung, 2023, Presseund Informationsamt der Bundesregierung
   Campbell S, 2018, HEALTH PLACE, V53, P210, DOI 10.1016/j.healthplace.2018.08.017
   Chen B, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-32258-4
   Cheung PK, 2022, ENVIRON RES-CLIM, V1, DOI 10.1088/2752-5295/ac6e7c
   Colombo D, 2020, COGNITIVE THER RES, V44, P906, DOI 10.1007/s10608-020-10122-3
   Copernicus, 2022, Copernicus: Summer 2022 Europe's hottest on record
   Drews S, 2016, CLIM POLICY, V16, P855, DOI 10.1080/14693062.2015.1058240
   Du HY, 2017, URBAN FOR URBAN GREE, V27, P24, DOI 10.1016/j.ufug.2017.06.008
   Estrada F, 2017, NAT CLIM CHANGE, V7, P403, DOI 10.1038/NCLIMATE3301
   Eurostat, 2020, Demographic Change in Europe: Country Factsheets
   Feldman A, 2019, J SUSTAIN WATER BUIL, V5, DOI 10.1061/JSWBAY.0000880
   Fischer LK, 2018, ECOSYST SERV, V31, P455, DOI 10.1016/j.ecoser.2018.01.015
   Fong KC, 2018, CURR ENV HLTH REP, V5, P77, DOI 10.1007/s40572-018-0179-y
   Fuller RA, 2009, BIOL LETTERS, V5, P352, DOI 10.1098/rsbl.2009.0010
   Gaffin SR, 2012, NAT CLIM CHANGE, V2, P704, DOI 10.1038/nclimate1685
   Giles-Corti B, 2005, AM J PREV MED, V28, P169, DOI 10.1016/j.amepre.2004.10.018
   Graça M, 2022, URBAN CLIM, V42, DOI 10.1016/j.uclim.2022.101126
   Grunewald Karsten, 2017, International Journal of Biodiversity Science Ecosystem Services & Management, V13, P26, DOI 10.1080/21513732.2017.1283361
   Gu SH, 2016, INT J BIOMETEOROL, V60, P131, DOI 10.1007/s00484-015-1011-0
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Iungman T, 2023, LANCET, V401, P577, DOI 10.1016/S0140-6736(22)02585-5
   Kabisch N, 2021, URBAN FOR URBAN GREE, V60, DOI 10.1016/j.ufug.2021.127058
   Kabisch N, 2016, ECOL INDIC, V70, P586, DOI 10.1016/j.ecolind.2016.02.029
   Kong L, 2017, SUSTAIN CITIES SOC, V31, P12, DOI 10.1016/j.scs.2017.01.018
   Konijnendijk CC, 2023, J FORESTRY RES, V34, P821, DOI 10.1007/s11676-022-01523-z
   Koppe C., 2004, EUR/03/5036810)
   Kovats RS, 2006, EUR J PUBLIC HEALTH, V16, P592, DOI 10.1093/eurpub/ckl049
   Laaidi K, 2012, ENVIRON HEALTH PERSP, V120, P254, DOI 10.1289/ehp.1103532
   Lafortezza R, 2009, URBAN FOR URBAN GREE, V8, P97, DOI 10.1016/j.ufug.2009.02.003
   Lakes T, 2012, ECOL INDIC, V13, P93, DOI 10.1016/j.ecolind.2011.05.016
   Larson LR, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0153211
   Lin BB, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087422
   Livesley SJ, 2021, EARTHS FUTURE, V9, DOI 10.1029/2020EF001806
   Lo YTE, 2022, ENVIRON RES LETT, V17, DOI 10.1088/1748-9326/ac4cf4
   Madrigano J, 2015, ENVIRON HEALTH PERSP, V123, P672, DOI 10.1289/ehp.1408178
   Martinez GS, 2019, ENVIRON RES, V176, DOI 10.1016/j.envres.2019.108548
   [Masson-Delmotte IPCC. IPCC.], 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 [10.1017/9781009157896.001, DOI 10.1017/9781009157896.001]
   Morakinyo TE, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2020.137461
   Mücke HG, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17217862
   Nielsen AB, 2014, URBAN ECOSYST, V17, P305, DOI 10.1007/s11252-013-0316-1
   Nisbet EK, 2013, FRONT PSYCHOL, V4, DOI 10.3389/fpsyg.2013.00813
   Nisbet EK, 2009, ENVIRON BEHAV, V41, P715, DOI 10.1177/0013916508318748
   Nowak David J., 2006, Urban Forestry & Urban Greening, V5, P93, DOI 10.1016/j.ufug.2006.01.007
   Oh RYR, 2021, PEOPLE NAT, V3, P405, DOI 10.1002/pan3.10181
   Pascal M, 2006, INT J BIOMETEOROL, V50, P144, DOI 10.1007/s00484-005-0003-x
   Pascal M, 2021, ENVIRON INT, V151, DOI 10.1016/j.envint.2021.106441
   Barboza EP, 2021, LANCET PLANET HEALTH, V5, pE718, DOI 10.1016/S2542-5196(21)00229-1
   Qiu L, 2013, LANDSCAPE URBAN PLAN, V119, P136, DOI 10.1016/j.landurbplan.2013.07.007
   Rahman MA, 2020, BUILD ENVIRON, V170, DOI 10.1016/j.buildenv.2019.106606
   Rigolon A, 2018, URBAN SCI, V2, DOI 10.3390/urbansci2030067
   Roberts M, 2022, URBAN FOR URBAN GREE, V74, DOI 10.1016/j.ufug.2022.127681
   Russo S, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/124003
   Sampson NR, 2013, GLOBAL ENVIRON CHANG, V23, P475, DOI 10.1016/j.gloenvcha.2012.12.011
   Schindler M, 2022, APPL GEOGR, V141, DOI 10.1016/j.apgeog.2022.102673
   Schüle SA, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16071216
   Shashua-Bar L, 2000, ENERG BUILDINGS, V31, P221, DOI 10.1016/S0378-7788(99)00018-3
   Shaw R, 2002, EUR PLAN STUD, V10, P77, DOI 10.1080/09654310120099272
   Shooshtarian S, 2018, SUSTAIN CITIES SOC, V41, P647, DOI 10.1016/j.scs.2018.06.005
   Smith A, 2023, GEOGR J, DOI 10.1111/geoj.12518
   Song YM, 2021, ENVIRON INT, V156, DOI 10.1016/j.envint.2021.106778
   Sousa-Silva R, 2023, LANDSCAPE URBAN PLAN, V231, DOI 10.1016/j.landurbplan.2022.104649
   Taylor L, 2017, LANDSCAPE URBAN PLAN, V158, P25, DOI 10.1016/j.landurbplan.2016.09.024
   Thompson V, 2022, SCI ADV, V8, DOI 10.1126/sciadv.abm6860
   UBA, 2023, Indicator: Hot days
   Vieira J, 2018, ENVIRON RES, V160, P306, DOI 10.1016/j.envres.2017.10.006
   Vogt Jess, 2015, Arboriculture & Urban Forestry, V41, P293
   Watts N, 2021, LANCET, V397, P129, DOI 10.1016/S0140-6736(20)32290-X
   Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41
   Wong NH, 2021, NAT REV EARTH ENV, V2, P166, DOI 10.1038/s43017-020-00129-5
   Wüstemann H, 2017, LANDSCAPE URBAN PLAN, V164, P124, DOI 10.1016/j.landurbplan.2017.04.002
   Yan H, 2018, SCI TOTAL ENVIRON, V622, P882, DOI 10.1016/j.scitotenv.2017.11.327
   YouGov, 2023, Methodology
   Zanocco C, 2023, URBAN CLIM, V52, DOI 10.1016/j.uclim.2023.101759
   Zhao JY, 2021, NEURON, V109, P3548, DOI 10.1016/j.neuron.2021.08.029
   Ziter CD, 2019, P NATL ACAD SCI USA, V116, P7575, DOI 10.1073/pnas.1817561116
   Zölch T, 2017, ENVIRON RES, V157, P135, DOI 10.1016/j.envres.2017.05.023
   Zuo J, 2015, J CLEAN PROD, V92, P1, DOI 10.1016/j.jclepro.2014.12.078
NR 88
TC 6
Z9 6
U1 33
U2 69
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 MAY
PY 2024
VL 245
AR 105013
DI 10.1016/j.landurbplan.2024.105013
EA JAN 2024
PG 10
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 JK3I5
UT WOS:001173018200001
OA hybrid
DA 2025-01-10
ER

PT J
AU Hounnou, FE
   Houessou, AM
   Kasim, OF
   Yabi, JA
AF Hounnou, Femi E.
   Houessou, Albertine M.
   Kasim, O. Faith
   Yabi, Jacob A.
TI Cotton farmers' intention to adopt biochar as climate change adaptation
   and sustainable land management strategy in Benin
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Sustainable agricultural practice; Biochar; Cotton farmers; Theory of
   planned behavior; Structural equation modeling; Benin republic
ID INTEGRATED PEST-MANAGEMENT; PLANNED BEHAVIOR; SOIL; AGRICULTURE;
   MOTIVATION
AB Innovative agricultural practices represent the future of the world in the sustainable improvement of agricultural productivity. Sustainable farming practices have been recognized and accepted by agricultural development stakeholders, to provide a wide range of social, economic, financial, and environmental benefits. Despite this recognition, the application of these practices in the literature has focused on socio-economic and technical aspects while the psychosocial elements of the application have received limited attention. To contribute to a broad understanding of the concept, this study aims at analyzing the psychosociological motivations of cotton farmers to use biochar as a sustainable land management strategy. Adopting a survey research design, a sample of 528 farmers in Benin (West Africa) was interviewed on the pillars of the Theory of Planned Behavior (TPB) (Attitude, Subjective norms, Behavioral Control) and three other aspects (Climate change perception, Past behavior and Productivity risk perception) for an extension of TPB. The data collected were analyzed using the structural equation model of the SmartPLS 4 program. The results of this study confirmed all TPB relationships except for the construction of the "Attitude" pillar where Perceived ease of use had no significant influence. Apart from the classical TPB factors, perception of climate change and past behavior in adopting new agricultural practices positively affect the application of biochar. However, possible yield decreases at the beginning of biochar use demotivate farmers to take initiatives in this direction. The study notes that the role of a good perception and knowledge of the effects of climate change and the benefits of biochar action are elements to be considered in promoting sustainable cotton farming and agricultural practices.
C1 [Hounnou, Femi E.] Univ Abomey Calavi, Fac Agr Sci, Abomey Calavi, Benin.
   [Houessou, Albertine M.] Natl Univ Agr, Cotonou, Benin.
   [Kasim, O. Faith] Univ Guyana, Georgetown, Nigeria.
   [Yabi, Jacob A.] Univ Parakou, Fac Agron, Parakou, Benin.
C3 University of Abomey Calavi; University of Parakou
RP Hounnou, FE (corresponding author), Univ Abomey Calavi, Fac Agr Sci, Abomey Calavi, Benin.
EM hounnou.femi@yahoo.fr; am.houessou@gmail.com; kasimfaith@gmail.com;
   ja_yabi@yahoo.com
RI ; HOUNNOU, Femi E./AFQ-6593-2022
OI Kasim, Oluwasinaayomi Faith/0000-0002-5985-1534; Afouda Jacob,
   Yabi/0000-0001-9340-0342; HOUNNOU, Femi E./0000-0003-0004-2879
FU German Academic Exchange Service [2022-57610298]
FX <BOLD>Funding</BOLD> This work was supported by German Academic Exchange
   Service (climapAfrica, 2022-57610298) .
CR Ab Hamid MR, 2017, J PHYS CONF SER, V890, DOI 10.1088/1742-6596/890/1/012163
   Admasu WF, 2021, LAND USE POLICY, V109, DOI 10.1016/j.landusepol.2021.105634
   Adnan N, 2019, TRENDS FOOD SCI TECH, V86, P439, DOI 10.1016/j.tifs.2019.02.040
   AJZEN I, 1975, PSYCHOL BULL, V82, P261, DOI 10.1037/h0076477
   AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T
   Ajzen I., 2005, EBOOK: Attitudes, Personality and Behaviour
   Akerlof K, 2013, GLOBAL ENVIRON CHANG, V23, P81, DOI 10.1016/j.gloenvcha.2012.07.006
   Alcon F, 2020, ECOL ECON, V171, DOI 10.1016/j.ecolecon.2020.106593
   Angst TE, 2013, J ENVIRON QUAL, V42, P672, DOI 10.2134/jeq2012.0341
   Aubert BA, 2012, DECIS SUPPORT SYST, V54, P510, DOI 10.1016/j.dss.2012.07.002
   Bagheri A, 2019, J ENVIRON MANAGE, V248, DOI 10.1016/j.jenvman.2019.109291
   Blanco-Canqui H, 2017, SOIL SCI SOC AM J, V81, P687, DOI 10.2136/sssaj2017.01.0017
   Borchard N, 2019, SCI TOTAL ENVIRON, V651, P2354, DOI 10.1016/j.scitotenv.2018.10.060
   Brodowski S, 2006, EUR J SOIL SCI, V57, P539, DOI 10.1111/j.1365-2389.2006.00807.x
   Buyinza J, 2020, J SUSTAIN FOREST, V39, P854, DOI 10.1080/10549811.2020.1738948
   Chan KY, 2007, AUST J SOIL RES, V45, P629, DOI 10.1071/SR07109
   Cheon J, 2012, COMPUT EDUC, V59, P1054, DOI 10.1016/j.compedu.2012.04.015
   Cornelissen G, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0154617
   Daxini A, 2019, LAND USE POLICY, V85, P428, DOI 10.1016/j.landusepol.2019.04.002
   Despotovic J, 2019, J CLEAN PROD, V228, P1196, DOI 10.1016/j.jclepro.2019.04.149
   Dhir A, 2021, J RETAIL CONSUM SERV, V59, DOI 10.1016/j.jretconser.2020.102398
   Donatti CI, 2019, CLIM DEV, V11, P264, DOI 10.1080/17565529.2018.1442796
   Etsay H, 2019, ECOL PROCESS, V8, DOI 10.1186/s13717-019-0166-8
   Martínez-García CG, 2013, LIVEST SCI, V152, P228, DOI 10.1016/j.livsci.2012.10.007
   Gouda SK, 2018, INT J PROD RES, V56, P5820, DOI 10.1080/00207543.2018.1456695
   Guo XX, 2020, WASTE MANAGE, V102, P884, DOI 10.1016/j.wasman.2019.12.003
   Hagedoorn LC, 2021, OCEAN COAST MANAGE, V214, DOI 10.1016/j.ocecoaman.2021.105945
   Hagemann N, 2017, NAT COMMUN, V8, DOI 10.1038/s41467-017-01123-0
   Han H, 2012, INT J HOSP MANAG, V31, P786, DOI 10.1016/j.ijhm.2011.09.015
   Henseler J, 2016, IND MANAGE DATA SYST, V116, P2, DOI 10.1108/IMDS-09-2015-0382
   Honfoga BG, 2018, COGENT ENVIRON SCI, V4, DOI 10.1080/23311843.2017.1422366
   Hounnou F. E., 2019, Journal of Agricultural Science (Toronto), V11, P281, DOI 10.5539/jas.v11n5p281
   Hounnou FE, 2023, CLIM DEV, V15, P850, DOI 10.1080/17565529.2023.2172314
   Huang C., 2015, Psychology, V6, P1685, DOI [DOI 10.4236/PSYCH.2015.613165, 10.4236/psych.2015.613165]
   Hussain M, 2017, J SOIL SEDIMENT, V17, P685, DOI 10.1007/s11368-016-1360-2
   Kizito S, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113211
   Ko HC, 2020, J INTERNET COMMER, V19, P212, DOI 10.1080/15332861.2020.1747219
   Kovac VB, 2011, SWISS J PSYCHOL, V70, P141, DOI 10.1024/1421-0185/a000049
   Landmann D, 2021, EUR J DEV RES, V33, P1435, DOI 10.1057/s41287-020-00284-x
   Lehmann J., 2009, BIOCHAR ENV MANAGEME, P1
   Lompo D.J.P., 2021, J. Agric. Stud., V9, P130, DOI [10.5296/jas.v9i1.17890, DOI 10.5296/JAS.V9I1.17890]
   Maep, 2017, PLAN STRATEGIQUE DEV
   MAEP, 2017, Rapport de performance du secteur agricole
   Maleksaeidi H, 2019, GLOB ECOL CONSERV, V20, DOI 10.1016/j.gecco.2019.e00698
   MCVDD, 2018, Rapport definitif, P35
   Menozzi D, 2015, BIO-BASED APPL ECON, V4, P125, DOI 10.13128/BAE-14776
   Mumpower JL, 2016, J RISK RES, V19, P798, DOI 10.1080/13669877.2015.1043567
   Nguyen N, 2021, J CLEAN PROD, V303, DOI 10.1016/j.jclepro.2021.126828
   Pandit NR, 2018, SCI TOTAL ENVIRON, V625, P1380, DOI 10.1016/j.scitotenv.2018.01.022
   Park J, 2014, FAM CONSUM SCI RES J, V42, P278, DOI 10.1111/fcsr.12061
   Perugini M, 2001, BRIT J SOC PSYCHOL, V40, P79, DOI 10.1348/014466601164704
   Pino G, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9010077
   Prapagdee S, 2017, ENVIRON SCI POLLUT R, V24, P9460, DOI 10.1007/s11356-017-8633-1
   Rashid NRNA, 2012, PROCD SOC BEHV, V50, P1061, DOI 10.1016/j.sbspro.2012.08.106
   Rezaei R, 2019, J ENVIRON MANAGE, V236, P328, DOI 10.1016/j.jenvman.2019.01.097
   Rogers E.M., 1963, DIFFUSION INNOVATION
   Sabzehei M. T., 2016, ENV ED SUSTAIN DEV, V4, P16, DOI DOI 10.1016/J.JCLEPRO.2020.121512
   Savari M, 2020, J CLEAN PROD, V263, DOI 10.1016/j.jclepro.2020.121512
   Schaafsma M, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104153
   Schmidt HP, 2017, LAND DEGRAD DEV, V28, P2324, DOI 10.1002/ldr.2761
   Senger I, 2017, J RURAL STUD, V49, P32, DOI 10.1016/j.jrurstud.2016.10.006
   Shaw D., 2007, Intending to be ethical: An examination of consumer choice in sweatshop avoidance
   Shittu AM, 2021, J AGRIC APPL ECON, V53, P531, DOI 10.1017/aae.2021.19
   Tama RAZ, 2021, J ENVIRON MANAGE, V280, DOI 10.1016/j.jenvman.2020.111654
   Taylor S, 1995, MIS QUART, V19, P561, DOI 10.2307/249633
   Nguyen TPL, 2016, AGR SYST, V143, P205, DOI 10.1016/j.agsy.2016.01.001
   Venkatesh V, 2013, INFORM SYST RES, V24, P239, DOI 10.1287/isre.1110.0409
   Verma J, 2016, J INF KNOWL MANAG, V15, DOI 10.1142/S0219649216500337
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Vodounou JBK, 2016, CYBERGEO, DOI 10.4000/cybergeo.27836
   Wang YD, 2019, J ENVIRON MANAGE, V237, P15, DOI 10.1016/j.jenvman.2019.02.070
   Westerberg V., 2017, L'economie de la degradation de terre, le cas de la commune de Banikoara. Le coton est-il vraiment l'or blanc a Banikoara?
   Wollni M, 2010, AGR ECON-BLACKWELL, V41, P373, DOI 10.1111/j.1574-0862.2010.00445.x
   Yuriev A, 2020, RESOUR CONSERV RECY, V155, DOI 10.1016/j.resconrec.2019.104660
   Zeweld W, 2017, J ENVIRON MANAGE, V187, P71, DOI 10.1016/j.jenvman.2016.11.014
   Zhang QW, 2017, LAND USE POLICY, V68, P438, DOI 10.1016/j.landusepol.2017.08.008
   Zhang YF, 2021, CATENA, V202, DOI 10.1016/j.catena.2021.105284
NR 77
TC 2
Z9 2
U1 7
U2 17
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD JAN 20
PY 2024
VL 438
AR 140685
DI 10.1016/j.jclepro.2024.140685
EA JAN 2024
PG 12
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA JJ2Y3
UT WOS:001172744700001
DA 2025-01-10
ER

PT J
AU Sumaryana, H
   Buchori, I
   Sejati, AW
AF Sumaryana, Hendra
   Buchori, Imam
   Sejati, Anang Wahyu
TI Rowali model for Sustainable Urban Green Infrastructure Governance A
   case study of Temanggung urban area
SO INTERNATIONAL REVIEW FOR SPATIAL PLANNING AND SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Sustainable Governance; Urban heat island; Green infrastructure; The
   Rowali model
ID CLIMATE-CHANGE ADAPTATION; IMPACT
AB Proper Green Infrastructure (GI) management is one method for mitigating heat waves as a results of global warming phenomenon. Several cities have implemented GI management strategies in anticipation of the heat waves occurance. However, most cities have not followed up with efficient GI management. This study investigates the regeneration of successful GI governance by redesigning forms of stakeholder participation by looking at the values of local wisdom in society. This study yielded 235 respondents with a margin of error of 6.5%. The findings were then analyzed using descriptive statistics and interviews with key persons to strengthen the findings. The GI governance movement was renewed by the adoption of the Rowali model, an environmental movement that planted, cared for, and protected trees while sustaining religious and historical traditions as well as social and cultural values as a value to speak with nature. Here, this finding shows that a small income will not affect direct involvement in the management of GI. The successful factor of the Rowali model is the movement is based on historical values, spiritual values and sociocultural values with clear vision on the program and support by the collaboration of public and private sector. The Rowali model encourages more tree care and maintenance than the planting movement, which has received more attention in prior study investigations. This Rowali model supports the finding that the local government should begin delegating greater authority to the community to manage GI. These findings are expected to add to urban planners, local governments, and urban observers to promote an effective
C1 [Sumaryana, Hendra] Univ Diponegoro, Fac Engn, Doctoral Program Architecture & Urbanism, Semarang, Indonesia.
   [Buchori, Imam; Sejati, Anang Wahyu] Univ Diponegoro, Fac Engn, Dept Urban & Reg Planning, Semarang, Indonesia.
C3 Diponegoro University; Diponegoro University
RP Sumaryana, H (corresponding author), Univ Diponegoro, Fac Engn, Doctoral Program Architecture & Urbanism, Semarang, Indonesia.
EM hendrasumaryana@students.undip.ac.id
RI Sejati, Anang/R-2759-2019; Buchori/AAM-3100-2020
FU Ministry of Education, Culture, Research, and Technology
   [345-49/UN7.D2/PP/IV/2023]
FX This research has financially supported by the Ministry of Education,
   Culture, Research, and Technology for funding this research in the
   scheme of National Competitive Applied Research (PTKN), contract number:
   345-49/UN7.D2/PP/IV/2023.
CR Abdulateef MF, 2022, AIN SHAMS ENG J, V13, DOI 10.1016/j.asej.2021.06.012
   Andersson E, 2015, ECOSYST SERV, V12, P157, DOI 10.1016/j.ecoser.2014.08.001
   [Anonymous], 2023, CNN Indonesia
   Arghavani S, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121183
   Baptiste AK, 2015, LANDSCAPE URBAN PLAN, V136, P1, DOI 10.1016/j.landurbplan.2014.11.012
   Benedict M. A., 2002, Renewable Resources Journal, V20, P12
   Breen A., 2020, From 'Government to Governance'? A Systematic Literature Review of Research for Urban Green Infrastructure Management in Latin America, V2, P1, DOI [10.3389/frsc.2020.572360, DOI 10.3389/FRSC.2020.572360]
   Brown RD, 2015, LANDSCAPE URBAN PLAN, V138, P118, DOI 10.1016/j.landurbplan.2015.02.006
   Buchori I, 2022, INT J URBAN SCI, V26, P244, DOI 10.1080/12265934.2021.1925141
   Byrne JA, 2015, LANDSCAPE URBAN PLAN, V138, P132, DOI 10.1016/j.landurbplan.2015.02.013
   Martínez JLC, 2020, ENVIRON SCI EUR, V32, DOI 10.1186/s12302-020-00418-2
   Chaffin BC, 2016, ANNU REV ENV RESOUR, V41, P399, DOI 10.1146/annurev-environ-110615-085817
   Chang HS, 2021, URBAN FOR URBAN GREE, V65, DOI 10.1016/j.ufug.2021.127325
   Chen ZL, 2021, ENVIRON TECHNOL INNO, V23, DOI 10.1016/j.eti.2021.101684
   CNN Indonesia, 2023, CNN Indonesia
   Coccolo S, 2016, URBAN CLIM, V18, P33, DOI 10.1016/j.uclim.2016.08.004
   Coletti M., 2023, Civil Society Involvement in the Governance of Green Infrastructure: An Analysis of Policy Recommendations from EU-Funded Projects, P342, DOI [10.1016/j.jenvman.2023.118070, DOI 10.1016/J.JENVMAN.2023.118070]
   Conway TM, 2021, ENVIRON MANAGE, V68, P566, DOI 10.1007/s00267-021-01515-5
   Cousins JJ, 2021, J ENVIRON POL PLAN, V23, P581, DOI 10.1080/1523908X.2021.1893164
   Davies C, 2024, J ENVIRON PLANN MAN, V67, P2748, DOI 10.1080/09640568.2023.2197557
   De Sousa C, 2014, LOCAL ENVIRON, V19, P1049, DOI 10.1080/13549839.2014.886560
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Derkzen ML, 2017, LANDSCAPE URBAN PLAN, V157, P106, DOI 10.1016/j.landurbplan.2016.05.027
   Dewa DD, 2023, J GEOVIS SPAT ANAL, V7, DOI 10.1007/s41651-023-00135-3
   Dindukcapil, 2022, Jumlah Penduduk per Desa/Kelurahan Tahun 2022 Semester I
   Drury C., 2018, Sheffield's Tree Massacre: How Locals Battled to Protect Europe's Greenest City
   Edwards D., 2011, Projet EFORWOOD Tools for Sustainability Impact Assessment, V75
   Enqvist JP, 2018, LANDSCAPE URBAN PLAN, V179, P17, DOI 10.1016/j.landurbplan.2018.07.005
   Ferreira A., 2009, Journal for Education in the Built Environment, Vol, V4, P29, DOI DOI 10.11120/JEBE.2009.04020029
   Francesch-Huidobro M, 2017, PROG PLANN, V114, P1, DOI 10.1016/j.progress.2015.11.001
   Gao JH, 2015, SCI TOTAL ENVIRON, V505, P535, DOI 10.1016/j.scitotenv.2014.10.028
   García-Lamarca M, 2022, NAT COMMUN, V13, DOI 10.1038/s41467-022-34942-x
   Gerlak AK, 2021, J ENVIRON POL PLAN, V23, P599, DOI 10.1080/1523908X.2021.1910018
   Gray D, 2017, ENVIRON PLANN A, V49, P226, DOI 10.1177/0308518X16662272
   Hansen R., 2017, Green Surge, P4
   Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030
   Harrington E, 2018, ENVIRON SCI POLICY, V88, P104, DOI 10.1016/j.envsci.2018.06.003
   Hasibuan A., 2019, Buletinutama Teknik, V14, P127
   Heaviside C, 2016, ENVIRON HEALTH-GLOB, V15, DOI 10.1186/s12940-016-0100-9
   Helletsgruber C, 2020, FORESTS, V11, DOI 10.3390/f11101064
   Hopkins KG, 2018, ENVIRON SCI POLICY, V84, P124, DOI 10.1016/j.envsci.2018.03.008
   Hsu D, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126791
   Ibrahim A, 2020, J CLEAN PROD, V261, DOI 10.1016/j.jclepro.2020.121202
   Iswara A, 2023, Kompas.Com
   Kautsar A., 2023, Kondisi India Dihantam Gelombang Panas, Sekitar 24 Ribu Orang Tewas
   Keeley M, 2013, ENVIRON MANAGE, V51, P1093, DOI 10.1007/s00267-013-0032-x
   Khadafi M., 2023, Bisnis.Com
   Klemm W, 2015, LANDSCAPE URBAN PLAN, V138, P87, DOI 10.1016/j.landurbplan.2015.02.009
   Koc CB, 2017, URBAN ECOSYST, V20, P15, DOI 10.1007/s11252-016-0578-5
   Lafortezza R, 2013, IFOREST, V6, P102, DOI 10.3832/ifor0723-006
   Lee S, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020519
   Lestari R., 2023, Bisnis.Com.
   Li L, 2018, CITIES, V74, P126, DOI 10.1016/j.cities.2017.11.013
   Lubell M, 2013, POLICY STUD J, V41, P537, DOI 10.1111/psj.12028
   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
   Mccarthy MP., 2010, Climate change in cities due to global warming and urban effects, V37, P1, DOI DOI 10.1029/2010GL042845
   Miller SM, 2019, ECOSYST SERV, V37, DOI 10.1016/j.ecoser.2019.100928
   Mirzaei PA, 2010, BUILD ENVIRON, V45, P2192, DOI 10.1016/j.buildenv.2010.04.001
   Morakinyo TE, 2020, SCI TOTAL ENVIRON, V719, DOI 10.1016/j.scitotenv.2020.137461
   Munn P., 1989, Using Questionnaires in Small-Scale Research. A Teachers' Guide
   Nehren U., 2016, Ecosystem-Based Disaster Risk Reduction and Adaptation in Practice, V42
   Nicholls N., 2008, A Simple Heat Alert System for Melbourne, Australia, P375, DOI [10.1007/s00484-007-0132-5, DOI 10.1007/S00484-007-0132-5]
   Pakzad P, 2016, PROCD SOC BEHV, V216, P68, DOI 10.1016/j.sbspro.2015.12.009
   Pratiwi R. D., 2019, Jurnal Lanskap Indonesia, V11, P33, DOI [10.29244/jli.v11i1.20563, DOI 10.29244/JLI.V11I1.20563]
   Pristiandaru D. L., 2023, Kompas.Com.
   Ramyar R, 2021, CITIES, V117, DOI 10.1016/j.cities.2021.103316
   Rayan M, 2021, URBAN CLIM, V38, DOI 10.1016/j.uclim.2021.100899
   Saing Z, 2021, J GEOD GEODYN, V12, P133, DOI 10.1016/j.geog.2020.11.006
   Saraswat A, 2024, INT REV SPAT PLAN SU, V12, P28, DOI 10.14246/irspsd.12.2_28
   Schiappacasse Paulina., 2015, Urbani Izziv, V26, pS13, DOI [10.5379/urbani-izziv-en-2015-26-supplement-001, DOI 10.5379/URBANI-IZZIV-EN-2015-26-SUPPLEMENT-001]
   Sejati AW, 2020, APPL GEOGR, V124, DOI 10.1016/j.apgeog.2020.102319
   Shahfahad, 2022, ENVIRON DEV SUSTAIN, V24, P3762, DOI 10.1007/s10668-021-01587-7
   Shahzad M, 2020, J CLEAN PROD, V253, DOI 10.1016/j.jclepro.2019.119938
   Staddon Chad, 2018, Environment Systems & Decisions, V38, P330, DOI 10.1007/s10669-018-9702-9
   Steadman S, 2024, J ENVIRON PLANN MAN, V67, P2502, DOI 10.1080/09640568.2023.2192386
   Sumaryana H., 2022, Majalah Geografi Indonesia, V36, P68, DOI [10.22146/mgi.70978, DOI 10.22146/MGI.70978]
   Surni, 2024, INT REV SPAT PLAN SU, V12, P43, DOI 10.14246/irspsd.12.2_43
   Sussams LW, 2015, J ENVIRON MANAGE, V147, P184, DOI 10.1016/j.jenvman.2014.09.003
   Tejada J., 2012, The Philippine Statistician Journal, V61, P129
   van der Jagt APN, 2019, J ENVIRON MANAGE, V233, P757, DOI 10.1016/j.jenvman.2018.09.083
   Wang CH, 2021, SUSTAIN CITIES SOC, V66, DOI 10.1016/j.scs.2020.102687
   Waylen KA, 2018, J FLOOD RISK MANAG, V11, pS1078, DOI 10.1111/jfr3.12301
   Wijaya HB, 2023, INT J URBAN SCI, V27, P112, DOI 10.1080/12265934.2022.2097119
   You QL, 2022, NPJ CLIM ATMOS SCI, V5, DOI 10.1038/s41612-022-00303-0
   Zainal A, 2024, INT REV SPAT PLAN SU, V12, P1, DOI 10.14246/irspsd.12.2_1
NR 86
TC 0
Z9 0
U1 2
U2 2
PU INT COMMUNITY SPATIAL PLANNING & SUSTAINABLE DEVELOPMENT
PI KANAZAWA
PA INT COMMUNITY SPATIAL PLANNING & SUSTAINABLE DEVELOPMENT, KANAZAWA,
   00000, JAPAN
SN 2187-3666
J9 INT REV SPAT PLAN SU
JI Int. Rev. Spat. Plan. Sustain. Dev.
PY 2024
VL 12
IS 3
BP 176
EP 199
DI 10.14246/irspsd.12.3_176
PG 24
WC Green & Sustainable Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA J0A5U
UT WOS:001333788700001
OA gold
DA 2025-01-10
ER

PT J
AU Quang, NM
   Thien, NPN
   Thu, NH
   Thoa, HTN
   Tho, TM
   Hieu, L
   Thinh, DQ
AF Quang, Nguyen Minh
   Thien, Nguyen Pham Ngoc
   Thu, Nguyen Hoai
   Thoa, Huynh Thi Ngoc
   Tho, Tran Minh
   Hieu, Le Minh
   Thinh, Dang Quang
TI Determinants of farmers' adoption of adaptation measures in
   carbon-intensive agricultural areas: A case study in An Giang province,
   Vietnam
SO COGENT SOCIAL SCIENCES
LA English
DT Article
DE adaptation strategies; GHG mitigation; climate change; Mekong Delta;
   low-carbon farming
ID CLIMATE-CHANGE ADAPTATION; GREENHOUSE-GAS EMISSIONS; MEKONG DELTA;
   IMPACTS; OPPORTUNITIES; PERCEPTIONS; BARRIERS; GENDER
AB Globally, agriculture is both a victim and contributor to anthropogenic global warming. While farmers' climate change perception generally increases, a low-carbon agricultural transition is not always an easy choice. There are numerous studies looking at the constraints hampering farmers' adoption of adaptation strategies in climate-prone areas worldwide. The extent to which their assertion applies to farmers in carbon-intensive agricultural areas with less experience of climate change effects, however, is not clear and cannot be assumed given the shared social and cultural specificities of the farming population. This paper seeks to address this gap by scrutinizing critical determinants of farmers' adaptation action in agriculturally rich An Giang province, where climate change impacts are generally less evident. Intense crop cultivation in the province involves the liberal use of fertilizers, crop-residue burning, frequent tilling, and other harmful farming practices that release carbon. Primary data were collected through household surveys (n = 133), field observation, and in-depth interviews (n = 24). A chi-square (chi 2) test and a binary logistic regression model was used to analyze the factors influencing farmers' adaptation decisions. The results indicated that farmers' adaptation intent and decisions in the research area were significantly determined by market accessibility, uncertainty/instability of existing crops, and extreme weather conditions. These findings shed new light on approaches that are likely to motivate or hamper farmers' climate-friendly transition in carbon-intensive agricultural hubs. We suggest that adaptive farming initiatives that have the potential to improve marketability and sustainability should be a starting point for mobilizing farmers for a low-carbon farming transition.
C1 [Quang, Nguyen Minh] Can Tho Univ, Dept Geog Educ, 3-2 St, Can Tho 94115, Vietnam.
   [Quang, Nguyen Minh] Can Tho Univ, Dept Geog Educ, Can Tho, Vietnam.
   [Thien, Nguyen Pham Ngoc] An Giang Univ, Sch Educ, An Giang, Vietnam.
   [Thu, Nguyen Hoai; Thoa, Huynh Thi Ngoc; Tho, Tran Minh; Hieu, Le Minh] Mekong Environm Forum, Can Tho, Vietnam.
   [Thinh, Dang Quang] Viet Nam Inst Meteorol Hydrol & Climate Change, Climate Change Res Ctr, Hanoi, Vietnam.
C3 Can Tho University; Can Tho University; Vietnam National University Ho
   Chi Minh City (VNUHCM) System; VNU-HCM An Giang University (VNUHCM-AGU)
RP Quang, NM (corresponding author), Can Tho Univ, Dept Geog Educ, 3-2 St, Can Tho 94115, Vietnam.
EM nmquang@ctu.edu.vn
RI Nguyen, Pham Ngoc Thien/HOC-4474-2023; Hoai Thu, Nguyen/ABF-5473-2021
OI Nguyen, Pham Ngoc Thien/0000-0003-0246-5162; Nguyen,
   Quang/0000-0002-6786-2065
FU CGIAR/Asian Mega Deltas Initiative Project in Vietnam; An Giang
   Department of Agriculture and Rural Development, Can Tho University
   [T2022-108]; Mekong Environment Forum (MEF)
FX This work was partly supported by the CGIAR/Asian Mega Deltas Initiative
   Project in Vietnam. We would like to thank all funders who support this
   research through their contributions to the CGIAR Trust Fund:
   https://www.cgiar.org/funders/. This paper draws on data from a research
   project co- supported by An Giang Department of Agriculture and Rural
   Development, Can Tho University (T2022-108), and the Mekong Environment
   Forum (MEF) in April-October 2022. Special thanks goes to local experts
   and government officials for their support in our field research
   activities. We are grateful to Assoc. Prof. Deby Cassill at University
   of South Florida for her help with copy-editing, and the reviewers for
   their constructive comments
CR Adimassu Z., 2016, Environmental Systems Research, V5, P1, DOI DOI 10.1186/S40068-016-0065-2
   Allen M., 2019, Technical summary: 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, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty.
   An Giang Provincial People's Committee, 2022, Decision no. 3028/QD-UBND on provincial climate change action plan 2021-2030
   An Giang Provincial Statistics Office, 2022, An Giang statistical yearbook 2022
   Anik AR, 2021, INT J DISAST RISK RE, V65, DOI 10.1016/j.ijdrr.2021.102562
   Arai H, 2015, SOIL SCI PLANT NUTR, V61, P719, DOI 10.1080/00380768.2015.1041862
   Arbuckle JG, 2013, CLIMATIC CHANGE, V118, P551, DOI 10.1007/s10584-013-0700-0
   Aryal JP, 2022, NAT RESOUR FORUM, V46, P263, DOI 10.1111/1477-8947.12259
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P3267, DOI 10.1007/s10668-019-00345-0
   Atube Francis, 2021, Agriculture and Food Security, V10, DOI 10.1186/s40066-020-00279-1
   Belay Abrham., 2017, Agriculture Food Security, V6, P24, DOI [10.1186/s40066-017-0100-1, DOI 10.1186/S40066-017-0100-1]
   Bhandari G, 2018, SCI TOTAL ENVIRON, V631-632, P1560, DOI 10.1016/j.scitotenv.2018.03.144
   Boden T, 2017, AmeriFlux
   Boulard T, 2011, AGRON SUSTAIN DEV, V31, P757, DOI 10.1007/s13593-011-0031-3
   Brown D., 2016, Mongabay
   Chapman A., 2018, Climate Change News
   Conner D, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8070684
   Dasmani I, 2020, COGENT SOC SCI, V6, DOI 10.1080/23311886.2020.1751531
   Deressa TT, 2011, J AGR SCI-CAMBRIDGE, V149, P23, DOI 10.1017/S0021859610000687
   Dube T., 2016, Journal of Sustainable Development, V9, P256, DOI 10.5539/jsd.v9n1p256
   Tran DD, 2018, HYDROL EARTH SYST SC, V22, P1875, DOI 10.5194/hess-22-1875-2018
   Fadina AMR, 2018, ENVIRONMENTS, V5, DOI 10.3390/environments5010015
   Gannon KE, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100319
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Haden V, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0052882
   Hansen A, 2017, LANCET PLANET HEALTH, V1, pE353, DOI 10.1016/S2542-5196(17)30160-2
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   Vo HH, 2021, ASIA-PAC J REG SCI, V5, P327, DOI 10.1007/s41685-020-00181-5
   Hong Van N.P., 2014, Viet Nam Tropical Agriculture and Development, V58, P155, DOI DOI 10.11248/JSTA.58.155
   Hundera H, 2019, WEATHER CLIM EXTREME, V26, DOI 10.1016/j.wace.2019.100230
   Huu P. C., 2011, Pedobiologia, V54, P217
   Israel MA, 2020, ECOL PROCESS, V9, DOI 10.1186/s13717-020-00249-2
   Jaworski A, 2016, NEW YORK U LAW REV, V91, P1684
   Jiang LL, 2022, FRONT PSYCHOL, V13, DOI 10.3389/fpsyg.2022.983597
   Jiri O., 2015, Journal of Earth Science & Climatic Change, V6, P277
   Koubi V, 2016, WORLD DEV, V79, P197, DOI 10.1016/j.worlddev.2015.11.016
   Kusakari Y, 2014, J DISASTER RES, V9, P516, DOI 10.20965/jdr.2014.p0516
   Labeyrie V, 2021, CURR OPIN ENV SUST, V51, P15, DOI 10.1016/j.cosust.2021.01.006
   Lázár AN, 2015, ENVIRON SCI-PROC IMP, V17, P1018, DOI [10.1039/c4em00600c, 10.1039/C4EM00600C]
   Lovell RJ, 2021, ENVIRON DEV SUSTAIN, V23, P7089, DOI 10.1007/s10668-020-00905-9
   Lybbert TJ, 2012, FOOD POLICY, V37, P114, DOI 10.1016/j.foodpol.2011.11.001
   Lynch J, 2021, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.518039
   Marie M, 2020, HELIYON, V6, DOI 10.1016/j.heliyon.2020.e03867
   Mersha AA, 2016, REG ENVIRON CHANGE, V16, P1701, DOI 10.1007/s10113-015-0921-z
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   MONRE, 2020, K CH B N BI N I KH H
   Muzamhindo N., 2015, J. Econ. Sustain. Dev, V6, P1
   Nayak D, 2015, AGR ECOSYST ENVIRON, V209, P108, DOI 10.1016/j.agee.2015.04.035
   Ndamani F, 2016, SCI AGR, V73, P201
   Ndambiri H.K., 2012, J EC SUSTAINABLE DEV, V3, P52
   Ngan N. V. C., 2015, Proceedings of 8th Asian Crop Science Association Conference, Ha Noi, Vietnam, 23-25 September, 2014, P43
   Trung ND, 2020, COGENT ENVIRON SCI, V6, DOI 10.1080/23311843.2020.1792670
   Quang NM, 2020, ASIAN PERSPECT-SEOUL, V44, P749, DOI 10.1353/apr.2020.0032
   Quang NM, 2020, NAT CONSERV-BULGARIA, P19, DOI 10.3897/natureconservation.39.29551
   Triet NVK, 2017, HYDROL EARTH SYST SC, V21, P3991, DOI 10.5194/hess-21-3991-2017
   Opitz-Stapleton Sarah, 2016, Climate Services, V2-3, P41, DOI 10.1016/j.cliser.2016.08.001
   Ozor N., 2015, African Journal of Agricultural Research, V10, P1756
   Paudel B, 2020, CLIMATIC CHANGE, V158, P485, DOI 10.1007/s10584-019-02607-2
   Petersen-Rockney M, 2022, CLIMATIC CHANGE, V173, DOI 10.1007/s10584-022-03417-9
   Pham C. H., 2012, Floods and farmers: Politics, economics and environmental impacts of dyke construction in the Mekong Delta/Vietnam 18
   Pokhrel Y, 2018, WATER-SUI, V10, DOI 10.3390/w10030266
   Pour MD, 2018, ECOL INDIC, V94, P336, DOI 10.1016/j.ecolind.2018.05.074
   Aryal JP, 2020, INT J CLIM CHANG STR, V12, P128, DOI 10.1108/IJCCSM-09-2018-0065
   Quang N. M., 2017, The Diplomat
   Quang N. M., 2021, Vietnam Journal of Science and Technology, V12A, P42
   Schipper ELF, 2020, ONE EARTH, V3, P409, DOI 10.1016/j.oneear.2020.09.014
   Setyanto P, 2018, SOIL SCI PLANT NUTR, V64, P23, DOI 10.1080/00380768.2017.1409600
   Tesfahunegn GB, 2016, APPL GEOGR, V73, P1, DOI 10.1016/j.apgeog.2016.05.009
   Thoai TQ, 2018, LAND USE POLICY, V70, P224, DOI 10.1016/j.landusepol.2017.10.023
   Tuan V. V., 2015, Can Tho University Journal of Science, V38, P120
   Tucker CM, 2010, GLOBAL ENVIRON CHANG, V20, P23, DOI 10.1016/j.gloenvcha.2009.07.006
   Ullah R, 2016, OUTLOOK AGR, V45, P199, DOI 10.1177/0030727016665440
   UNEP, 2021, Toxic blaze: The true cost of crop burning
   USAID Climate Links, 2016, Greenhouse gas emissions in Vietnam
   USEPA, 2020, Sources of greenhouse gas emissions
   van Tilburg AJ, 2022, SCI TOTAL ENVIRON, V844, DOI 10.1016/j.scitotenv.2022.157212
   Vetter SH, 2017, AGR ECOSYST ENVIRON, V237, P234, DOI 10.1016/j.agee.2016.12.024
   Vieweg M., 2017, Building and Nuclear Safety
   Vignola R, 2015, AGR ECOSYST ENVIRON, V211, P126, DOI 10.1016/j.agee.2015.05.013
   Waldman KB, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/abb909
   Wheeler R, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100313
   World Bank, 2021, Climate-smart agriculture
   Yang B, 2021, SOC INDIC RES, V153, P1041, DOI 10.1007/s11205-020-02518-1
   Tong YD, 2017, ECOL ECON, V132, P205, DOI 10.1016/j.ecolecon.2016.10.013
   Yiridomoh GY, 2021, GEOJOURNAL, V86, P2367, DOI 10.1007/s10708-020-10191-7
   Zhang TR, 2015, ATMOS ENVIRON, V121, P22, DOI 10.1016/j.atmosenv.2015.05.010
NR 87
TC 1
Z9 1
U1 1
U2 4
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 2262769
DI 10.1080/23311886.2023.2262769
PG 17
WC Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Social Sciences - Other Topics
GA T1KH5
UT WOS:001075639500001
OA gold
DA 2025-01-10
ER

PT J
AU Zhou, ZH
   Galway, N
   Megarry, W
AF Zhou, Zehan
   Galway, Neil
   Megarry, William
TI Exploring socio-ecological inequalities in heat by multiple and
   composite greenness metrics: A case study in Belfast, UK
SO URBAN FORESTRY & URBAN GREENING
LA English
DT Article
DE Green infrastructure; Spatial analysis; Urban heat island; Environmental
   justice
ID AREAL UNIT PROBLEM; URBAN GREEN; ECOSYSTEM SERVICES; PUBLIC-HEALTH;
   ENVIRONMENTAL JUSTICE; SOCIAL INEQUALITIES; SPACE; ASSOCIATIONS; INDEX;
   TREES
AB In light of pressing environmental and social justice challenges, levels of interest in green infrastructure as a possible solution have increased markedly for reasons related to both climate change adaptation and enhancing quality living environments. This study explores how green infrastructure influences the urban heat island effects experienced by communities across the socio-economic strata found in Belfast. To avoid scale effects and obtain accurate results, we devise multiple and scale-composite greenness metrics to assess the distribution of green infrastructure based on each residential unit. The results indicate that despite widespread recognition that green infrastructure significantly contributes to the mitigation of heat island intensity, socio-economically deprived communities are exposed to greater urban heat. Further examinations identified the close correlations between green infrastructure distribution and socio-economic factors, which relate to two major spatial patterns: that the suburbs are better catered for than the inner city, and that south and east Belfast are better than west and north. Moreover, our findings identified a tendency that communities with higher proportions of female- and ageingpopulations have greater greenness and are less exposed to heat, which suggests the distributional and environmental injustice in GI provision and related heat adaptation are driven by the underlying socio-economic dynamics and the vulnerable groups may change based on local context. Overall, we found that there is a need to incorporate and prioritise different types of green infrastructure in plans for heat adaptation and to integrate green infrastructure development with environmental justice in areas that suffer socio-ecological deprivation in mitigating urban heat island effects.
C1 [Zhou, Zehan; Galway, Neil; Megarry, William] Queens Univ Belfast, Sch Nat & Built Environm, Belfast BT9 5AG, North Ireland.
C3 Queens University Belfast
RP Zhou, ZH (corresponding author), Queens Univ Belfast, Sch Nat & Built Environm, Belfast BT9 5AG, North Ireland.
EM zzhou05@qub.ac.uk
RI zhou, zehan/JPA-4226-2023
OI Megarry, William; Will/0009-0007-1434-1008; Zhou,
   Zehan/0000-0003-1174-2635; Galway, Neil/0000-0001-8288-2841
CR Aditya R., 2021, Geogr. Environ. Sustain., V14
   Aerts R, 2020, SCI TOTAL ENVIRON, V712, DOI 10.1016/j.scitotenv.2019.136426
   Ahmed B, 2013, REMOTE SENS-BASEL, V5, P5969, DOI 10.3390/rs5115969
   Akoglu H, 2018, TURK J EMERG MED, V18, P91, DOI 10.1016/j.tjem.2018.08.001
   Maia ATA, 2020, ENVIRON SCI POLICY, V112, P254, DOI 10.1016/j.envsci.2020.05.021
   Andersson-Sköld Y, 2015, CLIM RISK MANAG, V7, P31, DOI 10.1016/j.crm.2015.01.003
   Anguelovski I, 2018, URBAN GEOGR, V39, P458, DOI 10.1080/02723638.2017.1349987
   [Anonymous], 2020, Future Proofed City, Belfast Resilience Strategy: Draft strategy for consultation
   [Anonymous], 2015, Manchester Green and Blue Strategy. Manchester green and blue strategy
   [Anonymous], 2020, City-wide public space strategies. A guidebook for city leaders
   Anselin L, 2014, MODERN SPATIAL ECONO
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Asef S., 2020, J. Eng. Appl. Sci., V67, P427
   Avdan U, 2016, J SENSORS, V2016, DOI 10.1155/2016/1480307
   Bakhsh K, 2018, SUSTAIN CITIES SOC, V41, P95, DOI 10.1016/j.scs.2018.05.021
   Banerjee M, 2012, STAT MED, V31, P1601, DOI 10.1002/sim.4492
   Barbosa O, 2007, LANDSCAPE URBAN PLAN, V83, P187, DOI 10.1016/j.landurbplan.2007.04.004
   Belfast City Council, 2018, Belfast Open Space Strategy
   Bratman GN, 2019, SCI ADV, V5, DOI 10.1126/sciadv.aax0903
   Bréda NJJ, 2003, J EXP BOT, V54, P2403, DOI 10.1093/jxb/erg263
   Browning M, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14070675
   Browning MHEM, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16030429
   Carter JG, 2015, PROG PLANN, V95, P1, DOI 10.1016/j.progress.2013.08.001
   Chen B, 2020, SCI REMOTE SENSING, V1, DOI 10.1016/j.srs.2020.100003
   Chen B, 2018, INT J ENV RES PUB HE, V15, DOI 10.3390/ijerph15040573
   Chen L, 2022, SCI TOTAL ENVIRON, V812, DOI 10.1016/j.scitotenv.2021.152431
   Chi WF, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12176783
   Climate Northern Ireland, 2021, Climate Change Risk Assessment for Northern Ireland
   Cohen M, 2012, LANDSCAPE URBAN PLAN, V106, P277, DOI 10.1016/j.landurbplan.2012.03.007
   Collins RM, 2020, LANDSCAPE URBAN PLAN, V201, DOI 10.1016/j.landurbplan.2020.103823
   Committee on Climate Change, 2021, UK Climate Risk Assessment - High Temperatures Briefing
   Committee on Climate Change, 2021, Independent Assessment of UK Climate Risk: Advice to Government For the UK's third Climate Change Risk Assessment (CCRA3)
   Dark SJ, 2007, PROG PHYS GEOG, V31, P471, DOI 10.1177/0309133307083294
   David S., 2016, Rethinking Sustainable Cities: Accessible, green and fair
   De Vita GE, 2016, J URBAN DES, V21, P320, DOI 10.1080/13574809.2016.1167586
   Doick J., 2017, C URB TREES RES C TR
   Dzhambov AM, 2018, ENVIRON RES, V166, P223, DOI 10.1016/j.envres.2018.06.004
   Ekkel ED, 2017, LANDSCAPE URBAN PLAN, V157, P214, DOI 10.1016/j.landurbplan.2016.06.008
   Elhorst JP, 2010, SPAT ECON ANAL, V5, P9, DOI 10.1080/17421770903541772
   Elhorst JP, 2014, SPRINGERBR REG SCI, P1, DOI 10.1007/978-3-642-40340-8
   Elmqvist T, 2015, CURR OPIN ENV SUST, V14, P101, DOI 10.1016/j.cosust.2015.05.001
   Ernstson H, 2013, LANDSCAPE URBAN PLAN, V109, P7, DOI 10.1016/j.landurbplan.2012.10.005
   European Environment Agency, 2017, EEA Report No 14/2017
   Feng SY, 2022, ENVIRON RES, V214, DOI 10.1016/j.envres.2022.113699
   Gao J, 2022, LANDSCAPE URBAN PLAN, V217, DOI 10.1016/j.landurbplan.2021.104260
   Garrison JD, 2019, ENVIRON PLAN B-URBAN, V46, P914, DOI 10.1177/2399808317737071
   Gronlund Carina J, 2014, Curr Epidemiol Rep, V1, P165
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Heinze G, 2018, BIOMETRICAL J, V60, P431, DOI 10.1002/bimj.201700067
   Houlden V, 2019, APPL GEOGR, V109, DOI 10.1016/j.apgeog.2019.102036
   Houston D, 2014, APPL GEOGR, V50, P40, DOI 10.1016/j.apgeog.2014.02.008
   Hsu A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-22799-5
   Hu HB, 2022, ENVIRON POLLUT, V292, DOI 10.1016/j.envpol.2021.118347
   Hu LQ, 2015, REMOTE SENS ENVIRON, V158, P393, DOI 10.1016/j.rse.2014.10.022
   Huang CH, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9121266
   Jain S, 2020, J URBAN MANAG, V9, P54, DOI 10.1016/j.jum.2019.09.004
   James G, 2013, SPRINGER TEXTS STAT, V103, P1, DOI 10.1007/978-1-4614-7138-7_1
   Jennings V, 2012, ENVIRON JUSTICE, V5, P1, DOI 10.1089/env.2011.0007
   Jensen RR, 2004, INT J REMOTE SENS, V25, P4251, DOI 10.1080/01431160410001680400
   Knobel P, 2021, ENVIRON POLLUT, V271, DOI 10.1016/j.envpol.2020.116393
   Kuras ER, 2020, LANDSCAPE URBAN PLAN, V198, DOI 10.1016/j.landurbplan.2020.103799
   Labib SM, 2021, SCI TOTAL ENVIRON, V789, DOI 10.1016/j.scitotenv.2021.147919
   Labib SM, 2020, ENVIRON RES, V180, DOI 10.1016/j.envres.2019.108869
   Labib SM, 2018, EUR J REMOTE SENS, V51, P231, DOI 10.1080/22797254.2017.1419441
   Lei YK, 2021, URBAN FOR URBAN GREE, V61, DOI 10.1016/j.ufug.2021.127089
   LeSage J, 2009, STAT TEXTB MONOGR, P1
   LeSage JP, 2014, REV REG STUD, V44, P13
   Li X., 2014, Ann. GIS, V20
   Li XJ, 2021, SUSTAIN CITIES SOC, V72, DOI 10.1016/j.scs.2021.103066
   Li XJ, 2015, URBAN FOR URBAN GREE, V14, P751, DOI 10.1016/j.ufug.2015.07.006
   Li XM, 2012, LANDSCAPE ECOL, V27, P887, DOI 10.1007/s10980-012-9731-6
   Lin BS, 2010, HORTSCIENCE, V45, P83, DOI 10.21273/HORTSCI.45.1.83
   Liu L, 2010, EXPERT SYST APPL, V37, P2517, DOI 10.1016/j.eswa.2009.08.004
   Macintyre HL, 2021, ENVIRON INT, V154, DOI 10.1016/j.envint.2021.106530
   Maes J., 2019, EUR 29630 EN, DOI DOI 10.2760/689989
   Markevych I, 2017, ENVIRON RES, V158, P301, DOI 10.1016/j.envres.2017.06.028
   Miles V, 2017, REMOTE SENS-BASEL, V9, DOI 10.3390/rs9100989
   Ministry of Housing Communities and Local Government, 2020, The English Indices of Deprivation 2019
   Mohajerani A, 2017, J ENVIRON MANAGE, V197, P522, DOI 10.1016/j.jenvman.2017.03.095
   Natural England, 2010, Nature Nearby' Accessible Natural Greenspace Guidance
   Natural England, 2021, People and Nature Survey for England: Social Media and Segmentation Report
   NISRA, 2015, Review of the Statistical Classification and Delineation of Settlements (March 2015)
   Oke T. R., 2017, Urban Climates, DOI [10.1017/9781139016476, DOI 10.1017/9781139016476]
   Openshaw S., 1984, Concepts and techniques in modern geography
   Orioli R, 2019, ENVIRON HEALTH PERSP, V127, DOI [10.1289/EHP2854, 10.1289/ehp2854]
   Rajagopal P, 2023, SUSTAIN CITIES SOC, V88, DOI 10.1016/j.scs.2022.104279
   Reid CE, 2018, HEALTH PLACE, V54, P92, DOI 10.1016/j.healthplace.2018.09.005
   Rokach L, 2008, DATA MINING DECISION
   Rosso F, 2016, BUILD ENVIRON, V107, P198, DOI 10.1016/j.buildenv.2016.07.028
   Rouse J.W., 1974, Monitoring vegetation systems in the great plains with ERTS
   Rutt RL, 2016, URBAN FOR URBAN GREE, V19, P123, DOI 10.1016/j.ufug.2016.07.004
   Saaroni H, 2018, URBAN CLIM, V24, P94, DOI 10.1016/j.uclim.2018.02.001
   Schell CJ, 2020, SCIENCE, V369, P1446, DOI 10.1126/science.aay4497
   Screen JA, 2014, NAT CLIM CHANGE, V4, P577, DOI [10.1038/nclimate2268, 10.1038/NCLIMATE2268]
   Shih W. Y., 2018, City and Planning, V45, P283, DOI [10.6128/CP.201812_45(4).0002, DOI 10.6128/CP.201812_45(4).0002]
   Shih W. Y., 2022, Landscape and Urban Planning, V226
   Smith G, 2018, J BIG DATA-GER, V5, DOI 10.1186/s40537-018-0143-6
   Solá AG, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11010031
   Song YM, 2018, SCI TOTAL ENVIRON, V634, P1315, DOI 10.1016/j.scitotenv.2018.04.061
   Stoica P, 2004, IEEE SIGNAL PROC MAG, V21, P36, DOI 10.1109/MSP.2004.1311138
   Su JG, 2019, ENVIRON INT, V126, P162, DOI 10.1016/j.envint.2019.02.008
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taheriyoun M, 2010, IRAN J ENVIRON HEALT, V7, P1
   THOMPSON B, 1989, MEAS EVAL COUNS DEV, V21, P146, DOI 10.1080/07481756.1989.12022899
   Tonne C, 2021, ENVIRON INT, V146, DOI 10.1016/j.envint.2020.106236
   U.S. Geological Survey, 2020, Landsat 8 (L8) Data Users Handbook
   United States Environmental Protection Agency, 2019, Using Green Roofs to Reduce Heat Islands
   Upreti D, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050481
   van den Bosch M, 2017, ENVIRON RES, V158, P373, DOI 10.1016/j.envres.2017.05.040
   Venter ZS, 2020, SCI TOTAL ENVIRON, V709, DOI 10.1016/j.scitotenv.2019.136193
   Volin E, 2020, URBAN FOR URBAN GREE, V55, DOI 10.1016/j.ufug.2020.126818
   Wang Q, 2019, LAND USE POLICY, V83, P66, DOI 10.1016/j.landusepol.2019.01.026
   Wang RY, 2021, ENVIRON POLLUT, V290, DOI 10.1016/j.envpol.2021.117976
   Ward M.D., 2008, Spatial regression models, DOI DOI 10.4135/9781412985888
   WATSON DJ, 1947, ANN BOT-LONDON, V11, P41, DOI 10.1093/oxfordjournals.aob.a083148
   Watts N, 2018, LANCET, V391, P581, DOI 10.1016/S0140-6736(17)32464-9
   Welegedara NPY, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2023.104403
   WHO, 2020, INTEGRATING HLTH URB
   Wilson B, 2020, J AM PLANN ASSOC, V86, P443, DOI 10.1080/01944363.2020.1759127
   Wolch JR, 2014, LANDSCAPE URBAN PLAN, V125, P234, DOI 10.1016/j.landurbplan.2014.01.017
   World Health Organization, 2017, Urban greenspace interventions and health: A review of impacts and effectiveness
   Wu JY, 2020, ENVIRON PLAN B-URBAN, V47, P626, DOI 10.1177/2399808318793139
   Xia JY, 2014, NAT GEOSCI, V7, P173, DOI [10.1038/NGEO2093, 10.1038/ngeo2093]
   Ye Y, 2019, LANDSCAPE URBAN PLAN, V191, DOI 10.1016/j.landurbplan.2018.08.028
   Zawadzka JE, 2021, LANDSCAPE URBAN PLAN, V214, DOI 10.1016/j.landurbplan.2021.104163
   Zhang JG, 2022, LANDSCAPE URBAN PLAN, V226, DOI 10.1016/j.landurbplan.2022.104494
   Zhang LQ, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16040578
   Zheng ZC, 2020, APPL GEOGR, V123, DOI 10.1016/j.apgeog.2020.102310
NR 128
TC 0
Z9 0
U1 6
U2 32
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 DEC
PY 2023
VL 90
AR 128150
DI 10.1016/j.ufug.2023.128150
EA NOV 2023
PG 21
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 CL6A3
UT WOS:001125433700001
OA hybrid, Green Published, Green Submitted
DA 2025-01-10
ER

PT J
AU Jacobs, H
   Gupta, A
   Möller, I
AF Jacobs, Heather
   Gupta, Aarti
   Moller, Ina
TI Governing-by-aspiration? Assessing the nature and implications of
   including negative emission technologies (NETs) in country long-term
   climate strategies
SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
LA English
DT Article
DE Negative emissions technologies; Carbon dioxide removal; International
   climate governance; Climate change mitigation; Climate change
   adaptation; Long-term climate strategies; Climate politics
ID MITIGATION; POLITICS
AB In order to address the pressing challenge of climate change, countries are now submitting long-term climate strategies to the United Nations Framework Convention on Climate Change (UNFCCC) process. These strategies include within them potential future use of 'negative emissions technologies' (NETs). NETs are interventions that remove carbon from the atmosphere, ranging from large-scale terrestrial carbon sequestration in forests, wetlands and soils, to use of carbon capture and storage technologies. We assess here how NETs are discussed in 29 long-term climate strategies, in order to ascertain the risk that including the promise of future NETs may delay the taking of short-term mitigation actions. Our analysis shows that almost all countries plan to rely on NETs, particularly enhanced use of natural carbon sinks, even as a wide array of challenges and trade-offs in doing so are highlighted. Many strategies call for improved accounting systems and market incentives in realizing future NETs. While no strategy explicitly suggests that NETs can be a substitute for short-term mitigation, most estimate substantial potential for future use of NETs even in the face of acknowledged uncertainties. This, we suggest, may have the consequence of resulting in what we describe here as 'a spiral of delay' characterized by the promise of future NET options juxtaposed with the simultaneous uncertainty around these future options. Our analysis highlights that this inter-connected delaying dynamic may be intrinsic to what we term 'governing-by-aspiration' within global climate politics, wherein the voicing of lofty future ambition risks replacing current action and accountability.
C1 [Jacobs, Heather; Gupta, Aarti; Moller, Ina] Wageningen Univ & Res, Environm Policy Grp, Wageningen, Netherlands.
C3 Wageningen University & Research
RP Jacobs, H (corresponding author), Hollandseweg 1, NL-6706 KN Wageningen, Netherlands.
EM heather.jacobs@wur.nl
RI Möller, Ina/M-1259-2019
OI Jacobs, Heather/0000-0002-4709-1320
CR Anderson K, 2016, SCIENCE, V354, P182, DOI 10.1126/science.aah4567
   Buylova A, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.675499
   Carton W, 2023, WIRES CLIM CHANGE, V14, DOI 10.1002/wcc.826
   Carton W, 2020, WIRES CLIM CHANGE, V11, DOI 10.1002/wcc.671
   Carton W, 2019, ANTIPODE, V51, P750, DOI 10.1111/anti.12532
   DECONINCK H, 2018, GLOBAL WARMING 1 5 C, DOI DOI 10.5281/ZENODO.1289889
   Dooley K, 2018, INT ENVIRON AGREEM-P, V18, P79, DOI 10.1007/s10784-017-9382-9
   Dooley K, 2017, INT ENVIRON AGREEM-P, V17, P483, DOI 10.1007/s10784-016-9331-z
   ECIU [Energy & Climate Intelligence Unit], 2022, NET ZER TRACK
   Fajardy M, 2021, GLOBAL ENVIRON CHANG, V68, DOI 10.1016/j.gloenvcha.2021.102262
   Fajardy M, 2019, FRONT CLIM, V1, DOI 10.3389/fclim.2019.00006
   Fajardy M, 2018, ENERG ENVIRON SCI, V11, P1581, DOI 10.1039/c7ee03610h
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finnemore M, 2020, INT STUD QUART, V64, P759, DOI 10.1093/isq/sqaa052
   Fransen T., 2019, ENHANCING NDCS GUIDE, DOI [10.46830/wrirpt.19.00021, DOI 10.46830/WRIRPT.19.00021]
   Grant N, 2021, JOULE, V5, P2593, DOI 10.1016/j.joule.2021.09.004
   Grant N, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac0749
   Jaschke G., 2022, PERGAMON, V75, DOI [10.1016/J.GLOENVCHA.2022.102550, DOI 10.1016/J.GLOENVCHA.2022.102550]
   Konrad S, 2022, CLIM POLICY, V22, P557, DOI 10.1080/14693062.2021.1986364
   Lamb WF, 2020, GLOB SUSTAIN, V3, DOI 10.1017/sus.2020.13
   Lamb WF, 2020, ENERGY RES SOC SCI, V64, DOI 10.1016/j.erss.2020.101429
   Low S, 2022, GLOBAL ENVIRON CHANG, V75, DOI 10.1016/j.gloenvcha.2022.102530
   Low S, 2020, EARTH SYST GOV-NETH, V5, DOI 10.1016/j.esg.2020.100073
   Low S, 2020, ENERGY RES SOC SCI, V60, DOI 10.1016/j.erss.2019.101326
   Markusson N, 2018, GLOB SUSTAIN, V1, DOI 10.1017/sus.2018.10
   Masson-Delmotte V., 2018, GLOBAL WARMING 15 C
   McLaren D, 2016, EARTHS FUTURE, V4, P596, DOI 10.1002/2016EF000445
   McLaren DP, 2019, FRONT CLIM, V1, DOI 10.3389/fclim.2019.00004
   Moe E, 2018, ENERGY RES SOC SCI, V44, P199, DOI 10.1016/j.erss.2018.04.031
   Natl Acad Sci Engn Med, 2019, NEGATIVE EMISSIONS TECHNOLOGIES AND RELIABLE SEQUESTRATION: A RESEARCH AGENDA, P1, DOI 10.17226/25259
   Rottereng JKS, 2018, GLOBAL ENVIRON POLIT, V18, P52, DOI 10.1162/GLEP_a_00444
   Rueda O, 2021, GLOBAL ENVIRON CHANG, V67, DOI 10.1016/j.gloenvcha.2021.102238
   Stoddard I, 2021, ANNU REV ENV RESOUR, V46, P653, DOI 10.1146/annurev-environ-012220-011104
   Tanzer SE, 2019, ENERG ENVIRON SCI, V12, P1210, DOI 10.1039/c8ee03338b
   Thoni T, 2020, FRONT CLIM, V2, DOI 10.3389/fclim.2020.590305
   UNFCCC, 2015, FCCCCP2015L9REV1
   UNFCCC, 2020, COMM LONG TERM STRAT
NR 37
TC 12
Z9 12
U1 0
U2 9
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 2023
VL 81
AR 102691
DI 10.1016/j.gloenvcha.2023.102691
EA MAY 2023
PG 13
WC Environmental Sciences; Environmental Studies; Geography
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geography
GA J5ZO2
UT WOS:001010398300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ware, MB
   Matewos, T
   Guye, M
   Legesse, A
   Mohammed, Y
AF Ware, Markos Budusa
   Matewos, Tafesse
   Guye, Mekuria
   Legesse, Abiyot
   Mohammed, Yimer
TI Spatiotemporal variability and trend of rainfall and temperature in
   Sidama Regional State, Ethiopia
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
DE Climate change; Rainfall; Temperature; TerraClimate; Anomalies; Sidama
   region
ID CENTRAL RIFT-VALLEY; CLIMATE VARIABILITY; DROUGHT; INDEXES; BASIN; TESTS
AB This study aims to investigate spatiotemporal variability, trends, and anomaly in rainfall and temperature in the Sidama region, Ethiopia. The TerraClimate gridded dataset on a monthly time scale for 30 years (1991-2020) with a horizontal resolution of approximately 4 km was used for the study. Trends in annual and seasonal rainfall and temperature were assessed using a nonparametric test (Mann-Kendal test) and Sen's slope to test the statistical significance and magnitude of trends (increase/decrease), respectively. Our findings revealed that annual rainfall, summer (Hawado), and spring (Badhessa) rainfall have shown an increasing trend in most parts of the region, except for its northwest parts. We found a low annual rainfall variability (CV < 13%) over the southeastern and northwestern parts of the region. Rainfall variability revealed the difference in both time and space across the region. Six drought years (1999, 2001, 2002, 2003, 2012, and 2019) with different magnitudes were identified across the region. Annual average maximum (up to 0.4 degrees C decade(-1)) and minimum (up to 0.25 degrees C decade(-1)) temperatures revealed significantly increasing trends across the region. The standardized anomaly in the mean annual temperature indicated that the years in the recent decade (2011-2020) are getting warmer compared to the past two decades (1991-2010) due to natural and anthropogenic activities causing weather extremes in the region. The results of this study for rainfall contradict the other studies in the rift valley part of the region. Therefore, we suggest appropriate climate change adaptation strategies so that there is high rainfall and temperature variability across the region and between seasons.
C1 [Ware, Markos Budusa] Univ Hohenheim, Inst Phys & Meteorol, Stuttgart, Germany.
   [Matewos, Tafesse] Hawassa Univ, Dept Geog & Environm Studies, Hawassa, Ethiopia.
   [Guye, Mekuria] Bule Hora Univ, Dept Geog & Environm Studies, Hageremariam, Ethiopia.
   [Legesse, Abiyot; Mohammed, Yimer] Dilla Univ, Dept Geog & Environm Studies, Dilla, Ethiopia.
C3 University Hohenheim; Hawassa University; Dilla University
RP Ware, MB (corresponding author), Univ Hohenheim, Inst Phys & Meteorol, Stuttgart, Germany.
EM markbudu@gmail.com
RI Guye, Mekuria/HGA-9464-2022; Ware, Markos/ADP-3366-2022
OI Ware, Markos Budusa/0000-0002-2310-8511; Guye,
   Mekuria/0000-0002-2641-5154
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   Abeje MT, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11226302
   Alemayehu Arragaw, 2020, Environmental Systems Research, V9, DOI 10.1186/s40068-020-00184-3
   Alemayehu A, 2017, GEOGR ANN A, V99, P85, DOI 10.1080/04353676.2017.1289460
   Annys S, 2017, REG ENVIRON CHANGE, V17, P451, DOI 10.1007/s10113-016-1031-2
   Ayehu GT., 2021, Remote Sens Earth Syst Sci, DOI [10.1007/s41976-021-00060-3, DOI 10.1007/S41976-021-00060-3]
   Belay A, 2021, CLIMATE, V9, DOI 10.3390/cli9060096
   Belay AS, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11222688
   Belihu M, 2018, PHYS CHEM EARTH, V104, P84, DOI 10.1016/j.pce.2017.10.002
   Bezabih M, 2014, IMPACT WEATHER VARIA
   Bogale Girma Asefa, 2021, Sustainable Environment, V7, DOI 10.1080/23311843.2021.1875555
   Borges PD, 2014, THEOR APPL CLIMATOL, V116, P191, DOI 10.1007/s00704-013-0947-4
   CSA, 2013, Population projections for Ethiopia: 2007-2037
   Degefu MA, 2014, REG ENVIRON CHANGE, V14, P799, DOI 10.1007/s10113-013-0538-z
   Elbakidze M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10061701
   Esayas B, 2018, ADV METEOROL, V2018, DOI 10.1155/2018/7354157
   Gleixner S, 2017, CLIM DYNAM, V49, P1865, DOI 10.1007/s00382-016-3421-z
   Godde CM, 2021, GLOB FOOD SECUR-AGR, V28, DOI 10.1016/j.gfs.2020.100488
   Hamed KH, 2016, HYDROLOG SCI J, V61, P214, DOI 10.1080/02626667.2014.968573
   Hameso S, 2018, CLIM DEV, V10, P347, DOI 10.1080/17565529.2017.1291408
   Hansen J, 2006, P NATL ACAD SCI USA, V103, P14288, DOI 10.1073/pnas.0606291103
   Hare FK, 1983, CLIMATE DESERTIFICAT
   Helsel D.R., 2002, STAT METHODS WATER R, V4
   Hijmans RJ, 2022, RASTERGEOGRAPHIC DAT
   Kassie BT, 2014, J AGR SCI-CAMBRIDGE, V152, P58, DOI 10.1017/S0021859612000986
   KENDALL SB, 1975, J EXP ANAL BEHAV, V24, P311, DOI 10.1901/jeab.1975.24-311
   Kothe S, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8030109
   Kumo WL, 2016, ROUTLEDGE COMPANION
   Lewis K, 2017, CLIMATIC CHANGE, V144, P317, DOI 10.1007/s10584-017-2036-7
   Liou YA, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11151828
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Matewos T., 2019, S ETHIOP CLIM, V7, P70, DOI [10.3390/cli7050070, DOI 10.3390/CLI7050070]
   Matewos T, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100209
   Matewos T, 2020, PHYS GEOGR, V41, P36, DOI 10.1080/02723646.2019.1625850
   Mohammed JA, 2022, WEATHER CLIM EXTREME, V37, DOI 10.1016/j.wace.2022.100468
   Muluneh A, 2017, THEOR APPL CLIMATOL, V128, P795, DOI 10.1007/s00704-016-1739-4
   NMA, 2007, ETHIOPIA NATL PROGRA
   Parry M, 2009, CLIMATE CHANGE: OBSERVED IMPACTS ON PLANET EARTH, pXIII, DOI 10.1016/B978-0-444-53301-2.00027-0
   R Core Team, 2019, R LANG ENV STAT COMP
   Ripple WJ, 2017, BIOSCIENCE, V67, P1026, DOI 10.1093/biosci/bix125
   Rustum R, 2017, GLOBAL HYDROLOGY STO
   Samy A, 2019, WATER-SUI, V11, DOI 10.3390/w11030468
   Seleshi Y, 2004, INT J CLIMATOL, V24, P973, DOI 10.1002/joc.1052
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Stocker, 2014, CLIMATE CHANGE 2013
   Summary for Policymakers, 2001, CLIMATE CHANGE 2001, P2
   Suryabhagavan KV, 2017, WEATHER CLIM EXTREME, V15, P11, DOI 10.1016/j.wace.2016.11.005
   Suter G, 2022, INTEGR ENVIRON ASSES, V18, P1117
   Taffesse A.S., 2013, Food and Agriculture in Ethiopia, P53
   Teshome A, 2019, ADV METEOROL, V2019, DOI 10.1155/2019/5235429
   Wagesho N, 2016, ANAL OFRAINFALL VARI
   Wagesho N, 2013, HYDROLOG SCI J, V58, P354, DOI 10.1080/02626667.2012.754543
   Ware MB, 2022, METEOROL Z, V31, P431, DOI 10.1127/metz/2022/1093
   Weldearegay S. K., 2018, Agriculture & Food Security, V7, P6, DOI 10.1186/s40066-017-0154-0
   WMO (World Meteorological Organization), 2017, WMO GUID CALC CLIM N, DOI DOI 10.1186/S12302-021-00458-2
   Worku MA, 2022, ENVIRON SYST RES, V11, DOI 10.1186/s40068-022-00247-7
   Yue S, 2002, J HYDROL, V259, P254, DOI 10.1016/S0022-1694(01)00594-7
   Zeleke TT, 2017, INT J CLIMATOL, V37, P4733, DOI 10.1002/joc.5122
NR 58
TC 9
Z9 9
U1 1
U2 1
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 JUL
PY 2023
VL 153
IS 1-2
BP 213
EP 226
DI 10.1007/s00704-023-04463-8
EA APR 2023
PG 14
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA J9UM1
UT WOS:000980004400003
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Liang, ZR
   Sun, LX
   Tian, Z
   Fischer, G
   Yan, HM
AF Liang, Zhuoran
   Sun, Laixiang
   Tian, Zhan
   Fischer, Guenther
   Yan, Huimin
TI Increase in grain production potential of China under climate change
SO PNAS NEXUS
LA English
DT Article
DE climate change adaption; food security; multiple cropping; supply
   potentials; China
ID CROPPING SYSTEMS; CHANGE IMPACTS; MODEL; WATER; AGRICULTURE; EFFICIENCY;
   YIELD
AB The rapid growth of China's demand for grains is expected to continue in the coming decades, largely as a result of the increasing feed demand to produce protein-rich food. This leads to a great concern on future supply potentials of Chinese agriculture under climate change and the extent of China's dependence on world food markets. While the existing literature in both agronomy and climate economics indicates a dominance of the adverse impacts of climate change on rice, wheat, and maize yields, there is a lack of study to assess changes in multi-cropping opportunities induced by climate change. Multi-cropping benefits crop production by harvesting more than once per year from a given plot. To address this important gap, we established a procedure within the agro-ecological zones (AEZ) modeling framework to assess future spatial shifts of multi-cropping conditions. The assessment was based on an ensemble of five general circulation models under four representative concentration pathway scenarios in the phase five of coupled model inter-comparison project and accounted for the water scarcity constraints. The results show significant northward extensions of single-, double-, and triple-cropping zones in the future which would provide good opportunities for crop-rotation-based adaptation. The increasing multi-cropping opportunities would be able to boost the annual grain production potential by an average scale of 89(+/- 49) Mt at the current irrigation efficiency and 143(+/- 46) Mt at the modernized irrigation efficiency with improvement between the baseline (1981-2010) and the mid-21st century (2041-2070).
C1 [Liang, Zhuoran] Hangzhou Meteorol Serv, Hangzhou 310051, Zhejiang, Peoples R China.
   [Sun, Laixiang] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
   [Sun, Laixiang] SOAS Univ London, Sch Finance & Management, London WC1H 0XG, England.
   [Tian, Zhan] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China.
   [Fischer, Guenther] Int Inst Appl Syst Anal IIASA, A-2361 Laxenburg, Austria.
   [Yan, Huimin] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Beijing 100101, Peoples R China.
C3 University System of Maryland; University of Maryland College Park;
   University of London; University of London School Oriental & African
   Studies (SOAS); Southern University of Science & Technology;
   International Institute for Applied Systems Analysis (IIASA); Chinese
   Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Tian, Z (corresponding author), Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China.
EM tianz@sustech.edu.cn
RI Yan, Huimin/JPA-5992-2023; SUN, LAIXIANG/ABB-2622-2021
OI Sun, Laixiang/0000-0002-7784-7942
FU National Natural Science Foundation of China [41371110, 40921140410]
FX This work was sponsored by the National Natural Science Foundation of
   China (Grant Nos. 41371110, 40921140410).
CR Agomoh IV, 2021, SOIL SCI SOC AM J, V85, P1185, DOI 10.1002/saj2.20241
   Albersen P., 2002, Dilemmas of Chinas growth in the twenty-first century, P135
   Bowles TM, 2020, ONE EARTH, V2, P284, DOI 10.1016/j.oneear.2020.02.007
   Chan KW, 1999, CHINA QUART, P818, DOI 10.1017/S0305741000001351
   Damien A, 2017, APPL GEOGR, V80, P86, DOI 10.1016/j.apgeog.2017.02.003
   Deng NY, 2019, NAT COMMUN, V10, DOI 10.1038/s41467-019-09447-9
   Duan JK, 2021, NAT FOOD, V2, P1014, DOI 10.1038/s43016-021-00415-5
   Ebi KL, 2019, LANCET PLANET HEALTH, V3, pE283, DOI 10.1016/S2542-5196(19)30108-1
   Fischer Gunther., 2021, GLOBAL AGRO ECOLOGIC
   Gohari A, 2013, SCI TOTAL ENVIRON, V442, P405, DOI 10.1016/j.scitotenv.2012.10.029
   Guo JH, 2017, EARTHS FUTURE, V5, P285, DOI 10.1002/2016EF000433
   Hempel S, 2013, EARTH SYST DYNAM, V4, P219, DOI 10.5194/esd-4-219-2013
   Huang CF, 2020, INT J ENV RES PUB HE, V17, DOI 10.3390/ijerph17249241
   Ladha JK, 2003, FIELD CROP RES, V81, P159, DOI 10.1016/S0378-4290(02)00219-8
   Latham J., 2014, Global land cover SHARE (GLC-share) database beta-release version 1.0, P40
   Lin JY., 1997, ROLE AGR TRANSITION, P63
   Liu L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080990
   Lu H, 2018, AGR SYST, V161, P81, DOI 10.1016/j.agsy.2018.01.001
   Ministry of Agriculture of China, 2022, The import and export of agricultural products in China in 2021
   Ministry of Water Resources of China, 2020, China Water Resources Bulletin
   Nachtergaele FO., 2012, Harmonized world soil database (version 1.2), P50
   National Bureau of Statistics of China, 2021, Bulletin on the national grain output in 2021
   Ojeda JJ, 2018, FIELD CROP RES, V221, P19, DOI 10.1016/j.fcr.2018.02.010
   Pirker J, 2016, GLOBAL ENVIRON CHANG, V40, P73, DOI 10.1016/j.gloenvcha.2016.06.007
   Qian Y, 2017, HOW REFORM WORKED IN CHINA: THE TRANSITION FROM PLAN TO MARKET, P1
   Ray DK, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044041
   Renard D, 2019, NATURE, V571, P257, DOI 10.1038/s41586-019-1316-y
   Tian Z, 2021, RESOUR CONSERV RECY, V164, DOI 10.1016/j.resconrec.2020.105159
   Tian Z, 2015, HUM ECOL RISK ASSESS, V21, P1259, DOI 10.1080/10807039.2014.955392
   Tian Z, 2014, ECOL MODEL, V290, P155, DOI 10.1016/j.ecolmodel.2013.11.020
   Timsina J, 2001, FIELD CROP RES, V69, P93, DOI 10.1016/S0378-4290(00)00143-X
   Tubiello FN, 2007, TECHNOL FORECAST SOC, V74, P1030, DOI 10.1016/j.techfore.2006.05.027
   Waha K, 2020, GLOBAL ENVIRON CHANG, V64, DOI 10.1016/j.gloenvcha.2020.102131
   WALKER KR, 1988, CHINA QUART, P592
   Wallace JS, 2000, AGR ECOSYST ENVIRON, V82, P105, DOI 10.1016/S0167-8809(00)00220-6
   Wang HY, 2019, WATER POLICY, V21, P768, DOI 10.2166/wp.2019.175
   Wang ST, 2021, NAT FOOD, V2, P183, DOI 10.1038/s43016-021-00228-6
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
   Wu YY, 2018, P NATL ACAD SCI USA, V115, P7010, DOI 10.1073/pnas.1806645115
   Xiao H, 2022, INT J PLANT PROD, V16, P415, DOI 10.1007/s42106-022-00198-0
   Xu JL, 2021, NAT FOOD, V2, P264, DOI 10.1038/s43016-021-00255-3
   [杨会峰 Yang Huifeng], 2021, [中国地质, Geology of China], V48, P1142
   Yang XG, 2015, AGR FOREST METEOROL, V208, P76, DOI 10.1016/j.agrformet.2015.04.024
   Yu TZ, 2022, AGRONOMY-BASEL, V12, DOI 10.3390/agronomy12020436
   Zhang BB, 2022, LAND USE POLICY, V117, DOI 10.1016/j.landusepol.2022.106080
   Zhong HL, 2019, AGR SYST, V173, P94, DOI 10.1016/j.agsy.2019.02.005
   Zhong HL, 2017, AGR WATER MANAGE, V193, P1, DOI 10.1016/j.agwat.2017.07.014
NR 47
TC 8
Z9 8
U1 5
U2 60
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
EI 2752-6542
J9 PNAS NEXUS
JI PNAS Nexus
PD MAR
PY 2023
VL 2
IS 3
AR pgad057
DI 10.1093/pnasnexus/pgad057
EA MAR 2023
PG 10
WC Multidisciplinary Sciences; Social Sciences, Interdisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics; Social Sciences - Other Topics
GA R3KK9
UT WOS:001063372900046
PM 36970181
OA Green Accepted, Green Published, gold
DA 2025-01-10
ER

PT J
AU Wamsler, C
   Osberg, G
   Panagiotou, A
   Smith, B
   Stanbridge, P
   Osika, W
   Mundaca, L
AF Wamsler, Christine
   Osberg, Gustav
   Panagiotou, Anna
   Smith, Beth
   Stanbridge, Peter
   Osika, Walter
   Mundaca, Luis
TI Meaning-making in a context of climate change: supporting agency and
   political engagement
SO CLIMATE POLICY
LA English
DT Article
DE Behaviour change; climate change mitigation; climate change adaptation;
   transformation; participation; climate policy integration
ID CHANGE PERCEPTIONS; SUSTAINABILITY
AB Responding effectively to climate change requires an understanding of what shapes people's individual and collective sense of agency and responsibility towards the future. It also requires transforming this understanding into political engagement to support systems change. Based on a national representative survey in Sweden (N 1,237), this research uses the novel SenseMaker methodology to look into these matters. More specifically, in order to understand the social and institutional prerequisites that must be in place to develop inclusive climate responses, we investigate how citizens perceive their everyday life and future, and the implications for their sense of responsibility, agency, and political engagement. Our research findings show how citizens perceive and act on climate change (individually, cooperatively, and by supporting others), their underlying values, beliefs, emotions and paradigms, inter-group variations, and obstacles and enablers for change. The findings reveal that, in general, individual and public climate action is perceived as leading to improved (rather than reduced) wellbeing and welfare. At the same time, climate anxiety and frustration about structural and governance constraints limit agency, whilst positive emotions and inner qualities, such as human-nature connections, support both political engagement and wellbeing. Our results shed light on individual, collective, and structural capacities that must be supported to address climate change. They draw attention to the need to develop new forms of citizen involvement and of policy that can explicitly address these human interactions, inner dimensions of thinking about and acting on climate change, and the underlying social paradigms. We conclude with further research needs and policy recommendations.
C1 [Wamsler, Christine; Osberg, Gustav] Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
   [Panagiotou, Anna; Smith, Beth; Stanbridge, Peter] Cognit Edge, Conwy, Wales.
   [Osika, Walter] Karolinska Inst, Dept Neurosci, Stockholm, Sweden.
   [Osika, Walter] Karolinska Inst, Ctr Social Sustainabil, Stockholm, Sweden.
   [Mundaca, Luis] Int Inst Ind Environm Econ IIIEE, Lund, Sweden.
C3 Lund University; Karolinska Institutet; Karolinska Institutet
RP Wamsler, C (corresponding author), Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
EM christine.wamsler@lucsus.lu.se
RI Osberg, Gustav/KDM-9247-2024; Mundaca, Luis/H-2051-2013; Osika,
   Walter/AAH-7966-2020
OI Mundaca, Luis/0000-0002-1090-7744; Osika, Walter/0000-0002-1583-7319;
   Osberg, Gustav/0000-0003-4981-8113
FU Swedish Research Council [2019-00390,2019-01969]
FX This work was supported by Swedish Research Council: [grant no
   2019-00390,2019-01969].
CR Abson DJ, 2017, AMBIO, V46, P30, DOI 10.1007/s13280-016-0800-y
   Adger WN, 2013, NAT CLIM CHANGE, V3, P112, DOI [10.1038/NCLIMATE1666, 10.1038/nclimate1666]
   Agresti A., 2002, Categorical Data Analysis, V2
   Almond R., 2020, Living Planet Report 2020-Bending the Curve of Biodiversity Loss (No. LPR2020)
   [Anonymous], 2016, LIVING PLANET REPORT
   [Anonymous], 2021, Nationally determined contributions under the Paris Agreement: Synthesis report by the secretariat
   [Anonymous], 2014, J. Manag. Global Sustain, DOI [DOI 10.13185/JM2014.02105, 10.13185/JM2014.02104]
   Bentz J, 2022, SUSTAIN SCI, V17, P497, DOI 10.1007/s11625-022-01123-0
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   BMU (Bundesumweltministerium), 2021, JUG NAT 2020 BEV NAT
   Bruner J., 1986, ACTUAL MINDS POSSIBL
   Camlin DA, 2020, HUM SOC SCI COMMUN, V7, DOI 10.1057/s41599-020-00549-0
   Campbell-Scherer D, 2021, CAN MED ASSOC J, V193, pE1203, DOI 10.1503/cmaj.210131
   CARR D, 1986, HIST THEORY, V25, P117, DOI 10.2307/2505301
   Clayton S, 2015, NAT CLIM CHANGE, V5, P640, DOI [10.1038/nclimate2622, 10.1038/NCLIMATE2622]
   CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593
   Dobson Andrew., 2003, CITIZENSHIP ENV
   Driscoll D, 2019, SOC SCI QUART, V100, P1699, DOI 10.1111/ssqu.12683
   European Environment Agency EEA, 2021, NATURE BASED SOLUTIO, DOI [10.2800/919315, DOI 10.2800/919315]
   Filho W.L., 2018, SUSTAINABILITY HUMAN
   Fischer J, 2019, PEOPLE NAT, V1, P115, DOI 10.1002/pan3.13
   Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003
   Grusovnik T, 2012, SYNTH PHILOS, V27, P91
   Hart SL, 1997, HARVARD BUS REV, V75, P66
   Hendersson H, 2020, CLIMATIC CHANGE, V158, P345, DOI 10.1007/s10584-019-02599-z
   Hodder I., 1994, HDB QUALITATIVE RES, P393
   Hulme M, 2009, WHY WE DISAGREE ABOUT CLIMATE CHANGE: UNDERSTANDING CONTROVERSY, INACTION AND OPPORTUNITY, P1
   Hunecke M, 2018, ROUT STUD SUSTAINAB, P33
   Ives CD, 2020, AMBIO, V49, P208, DOI 10.1007/s13280-019-01187-w
   Ives CD, 2018, SUSTAIN SCI, V13, P1389, DOI 10.1007/s11625-018-0542-9
   Ives CD, 2017, CURR OPIN ENV SUST, V26-27, P106, DOI 10.1016/j.cosust.2017.05.005
   Karatekin K., 2018, International Electronic Journal of Environmental Education, V8, P82
   Köhler J, 2019, ENVIRON INNOV SOC TR, V31, P1, DOI 10.1016/j.eist.2019.01.004
   Leichenko R., 2019, CLIMATE SOC TRANSFOR
   Lorenzoni I, 2009, PUBLIC UNDERST SCI, V18, P383, DOI 10.1177/0963662508089540
   Lucas CH, 2018, GEOGR RES-AUST, V56, P298, DOI 10.1111/1745-5871.12284
   Mann M, 2021, The New Climate War
   Suiseeya KRM, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.712
   Mayer A, 2019, CLIM POLICY, V19, P511, DOI 10.1080/14693062.2018.1532872
   MAYER RC, 1995, ACAD MANAGE REV, V20, P709, DOI 10.2307/258792
   Meadows D., 1999, LEVERAGE POINTS PLAC
   O'Brien K., 2013, P TRANSFORMATION CHA, P16
   O'Brien K, 2018, CURR OPIN ENV SUST, V31, P153, DOI 10.1016/j.cosust.2018.04.010
   O'Brien K, 2015, SCIENCE, V350, P1170, DOI 10.1126/science.aad0267
   OBrien K, 2021, You Matter More Than You Think: Quantum Social Change for a Thriving World
   Ojala M, 2012, ENVIRON EDUC RES, V18, P625, DOI 10.1080/13504622.2011.637157
   Ojala Maria, 2021, ANNU REV ENV RESOUR, V46, P35, DOI [DOI 10.1146/ANNUREV-ENVIRON-012220-022716, 10.1146/annurev-environ-012220-022716]
   Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1
   Poortinga W, 2019, GLOBAL ENVIRON CHANG, V55, P25, DOI 10.1016/j.gloenvcha.2019.01.007
   Schuman S, 2018, JAMBA-J DISASTER RIS, V10, DOI 10.4102/jamba.v10i1.509
   Scoville-Simonds M, 2018, WORLD DEV, V110, P345, DOI 10.1016/j.worlddev.2018.06.012
   SEPA (Swedish Environmental Protection Agency), 2022, KONS VAXTH PERS AR
   SEPA (Swedish Environmental Protection Agency), 2021, ALLM KLIM 2021 KVANT
   Skea J., 2022, CLIMATE CHANGE 2022
   Snowden D., 2021, CYNEFIN WEAVING SENS
   Spaargaren G, 2008, GLOBAL ENVIRON CHANG, V18, P350, DOI 10.1016/j.gloenvcha.2008.04.010
   Steffen V, 1997, SOC SCI MED, V45, P99, DOI 10.1016/S0277-9536(96)00319-X
   Strauss A., 1987, QUALITATIVE ANAL SOC
   UNFCCC, 2020, C PART COP
   Upham P, 2019, Energy transitions and social psychology: a sociotechnical perspective, Vfirst, DOI [10.4324/9780429458651, DOI 10.4324/9780429458651]
   Upton G.J., 2016, Categorical Data Analysis by Example, V1st edn
   Van der Merwe SE, 2019, SYSTEMS-BASEL, V7, DOI 10.3390/systems7020025
   Veland S, 2018, CURR OPIN ENV SUST, V31, P41, DOI 10.1016/j.cosust.2017.12.005
   Vogler J, 2010, ENERG POLICY, V38, P2681, DOI 10.1016/j.enpol.2009.05.043
   Waddock S, 2015, J CHANG MANAG, V15, P259, DOI 10.1080/14697017.2015.1031954
   Walsh Z, 2021, AMBIO, V50, P74, DOI 10.1007/s13280-020-01322-y
   Wamsler C, 2022, CLIMATIC CHANGE, V173, DOI 10.1007/s10584-022-03398-9
   Wamsler C, 2021, GLOBAL ENVIRON CHANG, V71, DOI 10.1016/j.gloenvcha.2021.102373
   Wamsler C, 2020, ENVIRON SCI POLICY, V112, P227, DOI 10.1016/j.envsci.2020.06.005
   Wamsler C, 2020, INT J SUST HIGHER ED, V21, P112, DOI 10.1108/IJSHE-04-2019-0152
   Whyte KP, 2010, SYNTHESE, V177, P411, DOI 10.1007/s11229-010-9786-3
   Woiwode C, 2021, SUSTAIN SCI, V16, P841, DOI 10.1007/s11625-020-00882-y
   Wolf, 2007, ECPR EUROPEAN CONSOR
   Wolf J, 2009, ENVIRON POLIT, V18, P503, DOI 10.1080/09644010903007377
   Woroniecki S, 2020, GLOBAL ENVIRON CHANG, V65, DOI 10.1016/j.gloenvcha.2020.102132
NR 75
TC 15
Z9 15
U1 1
U2 26
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 AUG 9
PY 2023
VL 23
IS 7
BP 829
EP 844
DI 10.1080/14693062.2022.2121254
EA SEP 2022
PG 16
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA R8TW1
UT WOS:000860964200001
OA hybrid, Green Submitted
DA 2025-01-10
ER

PT J
AU Montcho, M
   Padonou, EA
   Montcho, M
   Mutua, MN
   Sinsin, B
AF Montcho, Marthe
   Padonou, Elie Antoine
   Montcho, Marlise
   Mutua, Meshack Nzesei
   Sinsin, Brice
TI Perception and adaptation strategies of dairy farmers towards climate
   variability and change in West Africa
SO CLIMATIC CHANGE
LA English
DT Article
DE Milk; Dairy farmers; Climate change; Adaptation strategies; Typology;
   West Africa
ID ESSENTIAL OILS; GOAT MILK; CHEESE; SYSTEMS; FOOD; LIVESTOCK; YIELD;
   IMPACTS; PACKAGE; QUALITY
AB In West Africa, dairy production plays a vital role in the economy and the wellbeing of the population. Currently, dairy production has become vulnerable due to climate variability. The main objective of this study is to investigate dairy farmers' perceptions and adaptation strategies towards climate variability and change in West Africa. Individual interviews and focus group discussions were conducted among 900 dairy farmers. Descriptive statistics and chi-square tests were used to assess dairy farmers' perception of climate change. Multiple correspondence analysis and hierarchical clustering on principal component analysis were used to access the adaptation strategies of dairy farmers. The results revealed that dairy farmers perceived a decrease in the length of the rainy season and the annual rainfall but an increase in the length of the dry season and the annual temperature that affect their activities. Dairy farmers that fed the cattle mainly with natural pastures, crop residues, and agroindustrial by-products in Benin, Burkina Faso, and Niger, used as climate change adaptation strategies, transhumance in the wetland. They also used animal manure to improve fodder quality and plants to improve milk production and milk conservation. They sold milk or produced local cheese with the remaining unsold milk. Dairy farmers that mainly invested in fodder production and conservation in the climate zones of Mali, sold milk produced to dairies and cheese production units; used plants to improve milk production, pasteurization for milk conservation, and veterinary service for animal care. This study provided relevant information for West African policymakers in designing appropriate policies and programs to assist dairy farmers to improve milk production under climate variability and change.
C1 [Montcho, Marthe; Padonou, Elie Antoine; Sinsin, Brice] Univ Abomey Calavi, Fac Agron Sci, Lab Appl Ecol, Calavi, Benin.
   [Montcho, Marthe] Natl Univ Agr, Sch Anim Husb & Livestock Prod Syst, Ketou, Benin.
   [Padonou, Elie Antoine] Natl Univ Agr, Sch Trop Forestry, Ketou, Benin.
   [Montcho, Marlise] Carnegie Mellon Univ Africa, Dept Stat & Data Sci, Kigali, Rwanda.
   [Mutua, Meshack Nzesei] African Acad Sci, Nairobi, Kenya.
C3 University of Abomey Calavi
RP Montcho, M (corresponding author), Univ Abomey Calavi, Fac Agron Sci, Lab Appl Ecol, Calavi, Benin.; Montcho, M (corresponding author), Natl Univ Agr, Sch Anim Husb & Livestock Prod Syst, Ketou, Benin.
EM marlisemontchol@gmail.com; nzeseimutua@gmail.com; bsinsin@gmail.com
RI Padonou, Elie/AFS-3719-2022; SINSIN, BRICE/KPB-8341-2024
OI MONTCHO, Marthe/0000-0003-0213-3651; Padonou, Elie
   Antoine/0000-0002-5712-2557
FU Climate Research for Development (CR4D) Postdoctoral Fellowship
   [CR4D-19-12]; United Kingdom's Department for International Development
   (DfID) Weather and Climate Information Services for Africa (WISER)
   programme; African Climate Policy Center (ACPC) of the United Nations
   Economic Commission for Africa (UNECA)
FX This work was supported through the Climate Research for Development
   (CR4D) Postdoctoral Fellowship (CR4D-19-12#) implemented by the African
   Academy of Sciences (AAS) in partnership with the United Kingdom's
   Department for International Development (DfID) Weather and Climate
   Information Services for Africa (WISER) programme and the African
   Climate Policy Center (ACPC) of the United Nations Economic Commission
   for Africa (UNECA). Statements made and views expressed in this work are
   solely the responsibility of the author(s).
CR Aina V. O., 2012, British Journal of Pharmacology and Toxicology, V3, P259
   Amenu B, 2007, AUST J DAIRY TECHNOL, V62, P171
   [Anonymous], 2019, APPL ENV ED COMMUNIC, DOI DOI 10.1080/1533015X.2018.1454358
   Assani SA., 2017, INT RES J NATURAL AP, V4, P50
   Bakhsh K, 2018, SUSTAIN CITIES SOC, V41, P95, DOI 10.1016/j.scs.2018.05.021
   Bauman DE, 2003, ANNU REV NUTR, V23, P203, DOI 10.1146/annurev.nutr.23.011702.073408
   Bhatt N, 2009, INT J AGRIC BIOL, V11, P721
   Bogoro S., 2006, NIGERIAN J EXPT APPL, V7, P27
   Boutrais J., 2008, AIRES PROTEGEES ESPA, P215
   Bryan E, 2013, J ENVIRON MANAGE, V114, P26, DOI 10.1016/j.jenvman.2012.10.036
   Calo JR, 2015, FOOD CONTROL, V54, P111, DOI 10.1016/j.foodcont.2014.12.040
   Chilliard Y, 2007, EUR J LIPID SCI TECH, V109, P828, DOI 10.1002/ejlt.200700080
   CORAF/WECARD, 2015, TRANSH TRANSFR CONFL
   Cowley FC, 2015, J DAIRY SCI, V98, P2356, DOI 10.3168/jds.2014-8442
   Das NN, 2006, VADOSE ZONE J, V5, P296, DOI 10.2136/vzj2005.0033
   Davidovic V., 2012, Biotechnology in Animal Husbandry, V28, P87
   Debela N, 2015, SPRINGERPLUS, V4, DOI 10.1186/s40064-015-1012-9
   Deygout P., 2012, SYSTEMES PRODUCTION
   Dima C, 2015, CURR OPIN FOOD SCI, V5, P29, DOI 10.1016/j.cofs.2015.07.003
   Djenontin AJP., 2010, THESIS U ABOMEY CALA, P274
   Dray S, 2007, J STAT SOFTW, V22, P1, DOI 10.18637/jss.v022.i04
   Egeru A, 2016, CLIM RISK MANAG, V11, P1, DOI 10.1016/j.crm.2015.12.001
   Escarcha JF, 2018, CLIMATE, V6, DOI 10.3390/cli6030054
   FAO and ECOWAS, 2018, REV LIV MILK VAL CHA
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gado BOK., 2020, Int. J. Biol. Chem. Sci., V14, P333, DOI [DOI 10.4314/IJBCS.V14I2.3, 10.4314/ijbcs.v14i2.3]
   Gauly M, 2013, ANIMAL, V7, P843, DOI 10.1017/S1751731112002352
   Gbadamosi I. T., 2013, Journal of Applied Biosciences, V61, P4460
   Gerzilov V., 2011, Biotechnology in Animal Husbandry, V27, P33, DOI 10.2298/BAH1101033G
   Hahlani C., 2014, Humanit Social Sci, V19, P87
   Hassanien MFR, 2014, SAUDI J BIOL SCI, V21, P280, DOI 10.1016/j.sjbs.2013.10.005
   Herbut P, 2018, INT J BIOMETEOROL, V62, P2089, DOI 10.1007/s00484-018-1629-9
   Herrero M, 2010, SCIENCE, V327, P822, DOI 10.1126/science.1183725
   Herrero M, 2009, CURR OPIN ENV SUST, V1, P111, DOI 10.1016/j.cosust.2009.10.003
   Hidosa D., 2017, J. Fish. Livest. Prod, V5, P4, DOI [10.4172/2332-2608.1000259, DOI 10.4172/2332-2608.1000259]
   Kagone H., 2006, Bulletin of Animal Health and Production in Africa, V54, P43
   Kassambara A., 2020, R PACKAGE VERSION, V1, P7
   Kimaro EG, 2018, PASTORALISM, V8, DOI 10.1186/s13570-018-0125-5
   Kolte AY, 2008, VET WORLD, V1, P239
   Kosmowski F, 2016, CLIMATIC CHANGE, V135, P227, DOI 10.1007/s10584-015-1562-4
   Lamidi A. A., 2014, Journal of Agriculture and Social Research (JASR), V14, P17
   Lamidi A. A., 2013, African Journal of Livestock Extension, V11, P6
   Le S, 2008, J STAT SOFTW, V25, P1, DOI 10.18637/jss.v025.i01
   Librán CM, 2013, WORLD J MICROB BIOT, V29, P1179, DOI 10.1007/s11274-013-1280-x
   Ly M, 2013, WEATHER CLIM EXTREME, V1, P19, DOI 10.1016/j.wace.2013.07.005
   Manalee Samaddar Manalee Samaddar, 2015, Indian Journal of Dairy Science, V68, P357
   MEHU, 2011, Deuxieme Communication Nationale de la Republique du Benin sur les Changements Climatiques
   Mercado RM, 2016, PROCEDIA ENVIRON SCI, V34, P490, DOI 10.1016/j.proenv.2016.04.043
   Mertz O, 2009, ENVIRON MANAGE, V43, P804, DOI 10.1007/s00267-008-9197-0
   Mertz O, 2012, AMBIO, V41, P380, DOI 10.1007/s13280-011-0231-8
   Moffat F., 2016, Technical and Investment Guidelines for Milk Cooling Centres
   Mohanty I., 2014, Int. J. Pharm. Pharm. Sci., V6, P20
   Moreki J. C., 2013, Online Journal of Animal and Feed Research (OJAFR), V3, P216
   Moro A, 2015, J SCI FOOD AGR, V95, P1507, DOI 10.1002/jsfa.6853
   Nasr N. F., 2019, INT J CURRENT MICROB, V8, P257
   Niles MT, 2016, CLIMATIC CHANGE, V135, P277, DOI 10.1007/s10584-015-1558-0
   Olafadehan OA, 2009, TROP ANIM HEALTH PRO, V41, P1275, DOI 10.1007/s11250-009-9312-0
   Oweis T, 2009, COMPR ASSESS WAT MAN, V7, P164, DOI 10.1079/9781845933890.0164
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   R Core Team, 2022, R: A Language and Environment for Statistical Computing
   Ramesh Kumari Ramesh Kumari, 2006, Buffalo Bulletin, V25, P3
   Ramesh PT., 2000, VETERINARIANS, V24, P1
   Reiber C, 2009, EXP AGR, V45, P209, DOI 10.1017/S0014479709007522
   Sarr B., 2015, Journal of Agricultural Extension and Rural Development, V7, P16
   Sarr B., 2011, International Journal of Biological and Chemical Sciences, V5, P1659
   Singh S K., 2012, J. Vet. Adv, V2, P407
   Sirohi S, 2007, CLIMATIC CHANGE, V85, P285, DOI 10.1007/s10584-007-9241-8
   Sofoluwe NA, 2011, AFR J AGR RES, V6, P4789
   Soryal KA, 2004, SMALL RUMINANT RES, V54, P121, DOI 10.1016/j.smallrumres.2003.10.010
   Thornton PK, 2009, AGR SYST, V101, P113, DOI 10.1016/j.agsy.2009.05.002
   Toutain PL, 2004, J VET PHARMACOL THER, V27, P467, DOI 10.1111/j.1365-2885.2004.00613.x
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Tubiello FN, 2007, EUR J AGRON, V26, P215, DOI 10.1016/j.eja.2006.10.002
   Van den Bossche P, 2008, REV SCI TECH OIE, V27, P551
   Wiid N, 2012, S AFR GEOGR J, V94, P152, DOI 10.1080/03736245.2012.742783
   Zhang RH, 2006, ANIM FEED SCI TECH, V127, P220, DOI 10.1016/j.anifeedsci.2005.09.001
   Zhu W, 2013, J DAIRY SCI, V96, P1727, DOI 10.3168/jds.2012-5756
NR 77
TC 10
Z9 10
U1 4
U2 27
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 38
DI 10.1007/s10584-022-03311-4
PG 21
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA ZI9QJ
UT WOS:000761946300001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Wudineh, FA
   Moges, SA
   Kidanewold, BB
AF Wudineh, Fraol Abebe
   Moges, Semu Ayalew
   Kidanewold, Belete Berhanu
TI Detecting Hydrological Variability in Precipitation Extremes:
   Application of Reanalysis Climate Product in Data-Scarce Wabi Shebele
   Basin of Ethiopia
SO JOURNAL OF HYDROLOGIC ENGINEERING
LA English
DT Article
DE Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS);
   Cumulative distribution function (CDF); Enhancing National Climate
   Services (ENACTS); Extreme precipitation indices (EPI); Trends
ID STREAMFLOW TREND DETECTION; RAINFALL; TESTS
AB Understanding climate data is essential for water resource management, flood risk assessment, agricultural planning, ecological modeling, and climate change adaptation. This study investigated the trends and variability of precipitation extremes to explore statistically significant trends in extreme hydrological conditions over the last 35 years in the Wabi Shebele basin of Ethiopia. Two reanalysis climate products: Enhancing National Climate Services (ENACTS) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) were evaluated against ground observations using cumulative distribution function and statistical measures. The result shows that the CHIRPS data set performed well and captured the precipitation extremes measured by rain gauges. The Mann-Kendall trend test analysis conducted using three extreme precipitation indices: annual maximum precipitation (AMP) (i.e., annual highest 1-day precipitation amount), R10 (i.e., the yearly count of days when precipitation >= 10 mm), and R95P (i.e., 95% percentile precipitation events). The result indicates an increasing tendency over the western-eastern highland and southern part of the basin; In contrast, it indicates decreasing trends over the middle of the study area. Quantile perturbation analysis using R95P reveals high oscillations at 5-year intervals within a confidence interval (CI), particularly at the basin's western-eastern highlands and southern lowlands. Since the 2000s, a periodicity analysis of maximum yearly precipitation using the autocorrelation function has revealed cycles at 2-year to 5-year intervals over the western-eastern highlands of the basin. (C) 2021 American Society of Civil Engineers.
C1 [Wudineh, Fraol Abebe; Kidanewold, Belete Berhanu] Addis Ababa Univ, Sch Civil & Environm Engn, POB 385, Addis Ababa, Ethiopia.
   [Moges, Semu Ayalew] Univ Connecticut, Sch Civil & Environm Engn, Storrs, CT 06269 USA.
C3 Addis Ababa University; University of Connecticut
RP Wudineh, FA (corresponding author), Addis Ababa Univ, Sch Civil & Environm Engn, POB 385, Addis Ababa, Ethiopia.
EM fraolabebe21@gmail.com; semu.moges.2000@gmail.com; bb_academy@yahoo.com
RI kidanewold, Belete/J-8612-2019
OI KIDANEWOLD, BELETE BERHANU/0000-0002-9876-8549; Abebe,
   Fraol/0000-0002-2520-6174
FU Addis Ababa University
FX The authors would like to thank the Ethiopian National Meteorology
   Service Agency and the Ministry of Water, Irrigation, and Electricity
   for providing the necessary data. Addis Ababa University financed the
   study.
CR Abebe A., 2006, P C INT AGR RES DEV, P1
   Abebe W., 2021, ADV SCI TECHNOLOGY
   Ahmad I, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/431860
   Akola J, 2019, JAMBA-J DISASTER RIS, V11, DOI 10.4102/jamba.v11i3.704
   American New Media Alliance, 2016, NEW MED ALL HOR REP
   [Anonymous], 2013, World Meteorological Organization
   [Anonymous], 2014, Earth Perspect, DOI DOI 10.1186/2194-6434-1-15
   Awass A. A., 2009, HYDROLOGICAL DROUGHT
   Awulachew SB, 2007, WORKING PAPER, P1
   Dankers R, 2014, P NATL ACAD SCI USA, V111, P3257, DOI 10.1073/pnas.1302078110
   Dinku T., 2020, ENHANCING NATL CLIMA
   Dinku T, 2014, INT J CLIMATOL, V34, P2489, DOI 10.1002/joc.3855
   Emeribe A., 2019, TREND ANAL CYCLES PE
   EPCC (Ethiopian Panel on Climate Change), 2015, ADD AB ETH AC SCI
   ERCS (Ethiopian Red Cross Society), 2005, HEAV RAINS FLOODS
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gebrechorkos SH, 2018, HYDROL EARTH SYST SC, V22, P4547, DOI 10.5194/hess-22-4547-2018
   Higashino M, 2019, J HYDROL-REG STUD, V21, P68, DOI 10.1016/j.ejrh.2018.12.003
   Houghton JT, 2001, CLIMATE CHANGE 2001: THE SCIENTIFIC BASIS, P1
   IWMI (International Water Management Institute), 2015, DRIV HYDR DYN BAL EC
   Jenkins G., 2009, The climate of the UK and recent trends
   Kay AL, 2011, J HYDROL, V406, P97, DOI 10.1016/j.jhydrol.2011.06.006
   Li LC, 2020, HYDROL RES, V51, P484, DOI 10.2166/nh.2020.095
   Mamo S., 2019, Extreme Hydrology and Climate Variability, V2019, P379, DOI [10.1016/B978-0-12-815998-9.00029-4, DOI 10.1016/B978-0-12-815998-9.00029-4]
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Meng FH, 2016, WATER-SUI, V8, DOI 10.3390/w8080338
   Moges SA, 2014, URBAN WATER J, V11, P596, DOI 10.1080/1573062X.2013.831914
   Moriasi DN, 2007, T ASABE, V50, P885, DOI 10.13031/2013.23153
   MoWR (Ministry of Water Resources), 2004, NAT RES 7
   MoWR (Ministry of Water Resources), 2003, ETH MIN WAT RES MOWR
   NMA (National Meteorology Agency), 1996, CLIM AGR RES ETH
   Ntegeka V, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006471
   Onyutha C, 2016, AGR FOREST METEOROL, V226, P80, DOI 10.1016/j.agrformet.2016.05.015
   Podesta John., 2014, The U.S. and China Just Announced Important New Actions to Reduce Carbon Pollution
   Seleshi Y, 2004, INT J CLIMATOL, V24, P973, DOI 10.1002/joc.1052
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shiferaw A., 2015, ETHIOPIAN PANEL CLIM
   Tabari H, 2014, J HYDROL, V519, P1420, DOI 10.1016/j.jhydrol.2014.09.019
   Tadesse T, 2016, B AM METEOROL SOC, V97, pES89, DOI 10.1175/BAMS-D-15-00269.1
   Talchabhadel R, 2018, INT J CLIMATOL, V38, P4296, DOI 10.1002/joc.5669
   Taye MT, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011466
   UNDP (United Nations Development Programme), 1999, DROUGHT FLOODS STRES
   vonStorch H, 1995, ANALYSIS OF CLIMATE VARIABILITY, P11
   Wanders N., 2015, HYDROLOGICAL EXTREME
   Welch B.L., 1959, J. R. Stat. Soc. Ser. A, V122, P99, DOI [10.2307/2343053, DOI 10.2307/2343053]
   Wilby RL, 2002, ENVIRON MODELL SOFTW, V17, P147
   Wudineh Fraol Abebe, 2021, Journal of Water Resource and Protection, V13, P362, DOI 10.4236/jwarp.2021.135023
   Yue K., 2019, CHANGES FLOOD RISK E
   Yue S, 2003, HYDROLOG SCI J, V48, P51, DOI 10.1623/hysj.48.1.51.43478
   Yue S, 2002, INT J CLIMATOL, V22, P933, DOI 10.1002/joc.781
   Yue S, 2002, J HYDROL, V259, P254, DOI 10.1016/S0022-1694(01)00594-7
NR 52
TC 7
Z9 7
U1 0
U2 7
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1084-0699
EI 1943-5584
J9 J HYDROL ENG
JI J. Hydrol. Eng.
PD FEB 1
PY 2022
VL 27
IS 2
AR 05021035
DI 10.1061/(ASCE)HE.1943-5584.0002156
PG 14
WC Engineering, Civil; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Environmental Sciences & Ecology; Water Resources
GA XO7VX
UT WOS:000730389500002
DA 2025-01-10
ER

PT J
AU Ashtari, MN
   Correia, M
AF Ashtari, Masoud Nakhaei
   Correia, Mariana
TI Assessment of vulnerability and site adaptive capacity to the risk of
   climate change: the case of Tchogha Zanbil World Heritage earthen site
   in Iran
SO JOURNAL OF CULTURAL HERITAGE MANAGEMENT AND SUSTAINABLE DEVELOPMENT
LA English
DT Article
DE Climate change; Earthen heritage; Adaptation capacity; Vulnerability
   assessment; Risk; World heritage; Tchogha Zanbil; Iran
ID ARCHAEOLOGICAL SITES; CULTURAL-HERITAGE; ADAPTATION; REDUCTION;
   KNOWLEDGE; SCALE
AB Purpose The aim of this research is to evaluate the vulnerability of earthen heritage when facing climate change, by focusing on Tchogha Zanbil site as a case study - an outstanding example of an earthen site that recurrently faces extreme climatic events. Moreover, the adaptive capacity of traditional knowledge and ancient systems is also evaluated, in order to contribute for future climate change adaptation planning. Design/methodology/approach The vulnerability of cultural heritage to climate change was considered as the degree to which an identified cultural heritage value was susceptible to, or would be adversely affected by, the effects of climate change, including climate variability and extreme temperatures. In order to establish a vulnerability assessment, this paper will assess different definitions regarding vulnerability, exposure and sensitivity, crossing it with indicators of physical parameters, in order to propose an adaptive capacity for the site, based on ancient traditional knowledge. Findings Nonetheless, the entailed research helped establish a framework that contributes to outline the vulnerability and the potential for adaptive capacity of World Heritage properties, especially earthen sites located in regions exposed to rising climate change impact. Research limitations/implications The research faced some limitations regarding access to data and to site visits, due to COVID-19 restrictions that were in place. Originality/value This research presents a methodological assessment of climate change risk in Tchogha Zanbil, a World Heritage earthen site in Iran, representative of a property highly exposed to risk and vulnerability.
C1 [Ashtari, Masoud Nakhaei] Pasargadae Res Ctr, Pasargadae, Iran.
   [Correia, Mariana] Escola Super Gallaecia, Architecture & Urban Design, Vila Nova De Cerveira, Portugal.
RP Ashtari, MN (corresponding author), Pasargadae Res Ctr, Pasargadae, Iran.
EM m.nakhaee.co@gmail.com
RI Correia, Mariana/H-4019-2011
OI Correia, Mariana/0000-0003-3053-1382
CR Al-Masawa M.I., 2018, IMPACT CLIMATE CHANG, P57, DOI DOI 10.1007/978-981-10-7748-7_3
   Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   Angelakis A.N., 2003, ENCY WATER SCI, P999
   Avrami E., 2008, TERRA LIT REV OVERVI
   Baglioni E., 2016, J MAT ENV SCI, V7, P3499
   Bertolin C., 2014, CLIMATE CULTURE DELI, V5
   Borna R., 2011, Scientific Research and Essays, V6, P6701
   Brimblecombe P., 2011, TERRA 2008 10 INT C, P278
   Brooks N, 2020, AZANIA, V55, P297, DOI 10.1080/0067270X.2020.1792177
   Burian S.J., 2002, Proceedings of Global Solutions for Urban Drainage: 9th International Conference on Urban Drainage (9ICUD), P1
   Caseldine CJ, 2010, J QUATERNARY SCI, V25, P88, DOI 10.1002/jqs.1337
   Cassar J., 2016, CULTURAL HERITAGE PO, P119
   Charnov AA, 2011, J ARCHIT CONSERV, V17, P59, DOI 10.1080/13556207.2011.10785089
   Correia M., 2015, SEISMIC RETROFITTING
   Correia M.R.A.R., 2016, Conservation in Earthen Heritage: Assessment and Significance of Failure, Criteria, Conservation Theory, and Strategies
   CRATerre, 1983, CONSTRUIRE EN TERRE, VEditions Alternatives
   Daly C, 2014, CONSERV MANAGE ARCHA, V16, P268, DOI 10.1179/1350503315Z.00000000086
   Daly Cathy., 2011, Conservation and Management of Archeological Sites, V13, P293, DOI [DOI 10.1179/175355212X13315728646058, 10.1179/175355212X13315728646058]
   Dastgerdi AS, 2020, CLIMATE, V8, DOI 10.3390/cli8020026
   Esen SY, 2018, INT J ARCHIT HERIT, V12, P951, DOI 10.1080/15583058.2017.1423133
   Fatoric S, 2017, CLIMATIC CHANGE, V142, P227, DOI 10.1007/s10584-017-1929-9
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Finucane M.L., 2009, WHY SCI ALONE WONT S
   Flavier J. M., 1995, The cultural dimension of development: indigenous knowledge systems., P479
   Forino G, 2016, INT J DISAST RISK RE, V19, P235, DOI 10.1016/j.ijdrr.2016.09.003
   Garcia B.M., 2020, J INT AFF, V73, P101
   Gero A, 2011, NAT HAZARD EARTH SYS, V11, P101, DOI 10.5194/nhess-11-101-2011
   Ghirshman R., 1966, TCHOGA ZANBIL DUR UN
   Gruber S., 2011, Carbon Climate Law Review, V5, P209
   Horowitz AnnD., 2016, APT Bulletin, V47, P40
   Hosen N, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12020676
   Hosseini S.H., 2003, MORTAR STUDIES UNPUB
   ICOMOS Climate Change and Cultural Heritage Working Group, 2019, OUTL JAP HER
   Illampas R., 2010, P 8 INT S CONS MON M, V31
   JANSEN M, 1989, WORLD ARCHAEOL, V21, P177, DOI 10.1080/00438243.1989.9980100
   Javadian M, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab574e
   Jigyasu R., 2015, PREVENTIONWEB GUEST
   Jigyasu R., 2013, CREAT SPACE, V1, P1, DOI [10.15415/cs.2013.11001, DOI 10.15415/CS.2013.11001]
   Jigyasu R., 2002, REDUCING DISASTER VU
   Kaptijn E, 2018, WIRES WATER, V5, DOI 10.1002/wat2.1256
   Keramat A., 2011, WORLD ACAD SCI ENG T, V81, P10, DOI [DOI 10.5281/ZENODO.1058935, 10.5281/zenodo.1058935]
   Kumar R., 2014, J CLIMATOL WEATHER F, V2, P1, DOI [10.4172/2332-2594.1000108, DOI 10.4172/2332-2594.1000108]
   Leon JX, 2015, COAST MANAGE, V43, P424, DOI 10.1080/08920753.2015.1046808
   Malekshahi-fard H., 2014, COOPERATION PR UNPUB
   Mansouri Daneshvar MR., 2019, Environ. Syst. Res., V8, P1, DOI [10.1186/s40068-019-0135-3, DOI 10.1186/S40068-019-0135-3]
   Masoudi M., 2016, Nat Environ Change, V2, P143
   Mays LW, 2010, ANCIENT WATER TECHNOLOGIES, P1, DOI 10.1007/978-90-481-8632-7
   McIntyre-Tamwoy Susan, 2008, Hist. Environ, V21, P2
   Mitchell P, 2008, ANTIQUITY, V82, P1093, DOI 10.1017/S0003598X00097805
   Mofidi-Nasrabadi B., 2007, ARCHAOLOGISCHE AUSGR
   Nakashima D.J., 2012, WEARING UNCERTAIN
   Nakhaei M., 2020, 2020 ICOMOS 6 ISCS J, P68
   Nakhaei M., 2020, INT ARCH PHOTOGRAMME, V44, P683, DOI [10.5194/isprs-archives-XLIV-M-1-2020-683-2020, DOI 10.5194/ISPRS-ARCHIVES-XLIV-M-1-2020-683-2020]
   Neghahban E., 1994, Excavation in Haft Tappeh and Khuzestan Plain
   Neguer J., 2003, VULNERABILITY ASSESS, P534
   Neto F.M., 2019, CULTURAL HERITAGE RE
   Niroumand H, 2012, ADV MATER RES-SWITZ, V457-458, P395, DOI 10.4028/www.scientific.net/AMR.457-458.395
   Paolini A., 2012, Risk Management at Heritage Sites: A Case Study of the Petra World Heritage Site
   Parry John T., 1992, Geocarto International, V7, P5, DOI [DOI 10.1080/10106049209354385, 10.1080/10106049209354385]
   Pesaresi Paola., 2007, CONSERV MANAGE ARCHA, V8, P215, DOI [10.1179/175355208X320801, DOI 10.1179/175355208X320801]
   Phillips H, 2015, ENVIRON SCI POLICY, V47, P118, DOI 10.1016/j.envsci.2014.11.003
   Prabhakar SVRK, 2009, MITIG ADAPT STRAT GL, V14, P7, DOI 10.1007/s11027-008-9147-4
   Qu JJ, 2007, B ENG GEOL ENVIRON, V66, P153, DOI 10.1007/s10064-006-0040-7
   Rainer L., 2008, TERRA LIT REV OVERVI, V45
   Ravankhah M, 2019, INT J DISAST RISK SC, V10, P343, DOI 10.1007/s13753-019-00235-z
   Renaud Fabrice., 2007, Control, Adapt Or Flee: How to Face Environmental Migration?
   Richards J, 2019, HERIT SCI, V7, DOI 10.1186/s40494-019-0293-7
   Richards J, 2020, GEOMORPHOLOGY, V369, DOI 10.1016/j.geomorph.2020.107363
   Sesana E, 2021, WIRES CLIM CHANGE, V12, DOI 10.1002/wcc.710
   Sesana E, 2020, J CULT HERIT, V41, P211, DOI 10.1016/j.culher.2019.06.013
   Shaffril HAM, 2020, J CLEAN PROD, V258, DOI 10.1016/j.jclepro.2020.120595
   Sikka S., 2009, ICOMOS SCI S CHANG W, P1
   Smith D. D., 1957, Transactions of the American Geophysical Union, V38, P889
   Tomasi J., 2020, J BUILDING PATHOLOGY, V5, P1, DOI [10.1007/s41024-020-00093-z, DOI 10.1007/S41024-020-00093-Z]
   UNESCO ICCROM ICOMOS and IUCN, 2010, Managing Disaster Risks for World Heritage, World Heritage Resource Manual, P1
   UNESCO ICCROM ICOMOS IUCN, 2013, MAN CULT WORLD HER W
   UNESCO-WHC, 2000, CONV PROT WORLD CULT
   UNESCO-WHC, 1995, CONV PROT PROT WORLD
   United Nations, 2015, Paris Agreement
   Vaghefi SA, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-018-38071-8
   VAN DENOORT R., 2013, CLIMATE CHANGE ARCHA
   Varum H, 2014, BUILD PATHOL REHABIL, V2, P37, DOI 10.1007/978-3-642-39686-1_2
   Watson RT, 2001, CLIMATE CHANGE 2001: IMPACTS, ADAPTATION, AND VULNERABILITY, pIX
   WEBSTER C, 1962, J WATER POLLUT CON F, V34, P116
   Wyatt AR, 2014, WIRES WATER, V1, P449, DOI 10.1002/wat2.1042
NR 85
TC 5
Z9 5
U1 4
U2 25
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 APR 26
PY 2022
VL 12
IS 2
SI SI
BP 107
EP 125
DI 10.1108/JCHMSD-06-2021-0108
EA OCT 2021
PG 19
WC Green & Sustainable Science & Technology
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA 0U5ML
UT WOS:000710652300001
DA 2025-01-10
ER

PT J
AU Bin Amin, S
   Chowdhury, MI
   Ehsan, SMA
   Iqbal, SMZ
AF Bin Amin, Sakib
   Chowdhury, Mainul Islam
   Ehsan, S. M. Asif
   Iqbal, S. M. Zahid
TI Solar energy and natural disasters: Exploring household coping
   mechanisms, capacity, and resilience in Bangladesh
SO ENERGY RESEARCH & SOCIAL SCIENCE
LA English
DT Article
DE Disaster resilience; SHS; Solar energy; Coping mechanism; Vulnerable;
   Household; Damage; Off-grid; Electricity; Bangladesh
ID CLIMATE-CHANGE ADAPTATION; RISK REDUCTION; VULNERABILITY; SYSTEMS;
   INEQUALITY; BEHAVIOR; ECOLOGY; WEATHER; ECONOMY; POWER
AB We analyze the post-disaster energy use practices in rural Bangladesh and investigate whether the households are more likely to use solar energy during the disaster as a coping mechanism against electricity disruption. The relationship between solar energy usage and disaster resilience of disaster-prone households is examined through different dimensions. We perform a primary questionnaire survey of 500 households and apply the neoclassical random utility model for discrete choice decision-making based on the Probit Binary Response regression method for analysis. The results indicate that a household's natural disaster experience, on average, increases the likelihood of post-disaster Solar Home System (SHS) use of the existing users by 13.1%. This result implies that SHS use is considered as a coping mechanism against natural disaster-induced electricity disruption by disaster-prone households. Another significant finding is that households changing the energy source to SHS during a calamity is associated with a 64.2% reduction in disaster damage, indicating improved resilience of SHS-using households against natural disasters. However, households that experienced damages from natural disasters are on average 19.9% less likely to use solar energy. The FGDs also help find different socioeconomic barriers to adopting the SHS, which include lack of access to credit and subsidy, affordability, reluctant perception towards NGO activities, and poor after-sale service. We recommend that the local government establishments and officials inform the people living in the off-grid, char areas about the benefits of the SHS and the available credit opportunities to adopt this technology.
C1 [Bin Amin, Sakib; Chowdhury, Mainul Islam; Ehsan, S. M. Asif; Iqbal, S. M. Zahid] North South Univ, Sch Business & Econ, Dhaka 1229, Bangladesh.
C3 North South University (NSU)
RP Bin Amin, S (corresponding author), North South Univ, Sch Business & Econ, Dhaka 1229, Bangladesh.
EM sakib.amin@northsouth.edu
RI Asif Ehsan, Syed Mortuza/IWM-6656-2023
OI Asif Ehsan, Syed Mortuza/0000-0003-3958-0447
FU North South University [CTRG-19/SBE/21]
FX This work is funded by North South University (Grant Number:
   CTRG-19/SBE/21) .
CR Abedin MA, 2019, INT J DISAST RISK SC, V10, P28, DOI 10.1007/s13753-018-0211-8
   Alam GMM, 2017, CLIM RISK MANAG, V17, P52, DOI 10.1016/j.crm.2017.06.006
   Ali I, 2014, ASIAN SOC WORK POLIC, V8, P34, DOI 10.1111/aswp.12023
   Alvi S, 2020, ENERGY RES SOC SCI, V70, DOI 10.1016/j.erss.2020.101645
   Amin S.B, 2015, THESIS DURHAM U DURH
   [Anonymous], 2019, ENERGY RESOURCES BAN
   [Anonymous], 2009, UNISDR TERM DIS RISK
   Beheshtian A, 2018, J CLEAN PROD, V174, P1299, DOI 10.1016/j.jclepro.2017.11.039
   Bertheau P, 2018, UTIL POLICY, V54, P55, DOI 10.1016/j.jup.2018.07.005
   Bhattacharyya SC, 2018, ENERGIES, V11, DOI 10.3390/en11040813
   Blechinger P, 2016, ENERG POLICY, V98, P674, DOI 10.1016/j.enpol.2016.03.043
   De Silva MMGT, 2018, ECOL ECON, V152, P131, DOI 10.1016/j.ecolecon.2018.05.010
   Dell M, 2014, J ECON LIT, V52, P740, DOI 10.1257/jel.52.3.740
   Desmet K., 2015, 21087 NBER
   Eckstein D., 2020, GLOBAL CLIMATE RISK
   Esteban M, 2014, ENERGY, V68, P756, DOI 10.1016/j.energy.2014.02.045
   Freeman J, 2017, REG STUD, V51, P933, DOI 10.1080/00343404.2016.1146403
   Hills JM, 2018, TECHNOL FORECAST SOC, V129, P16, DOI 10.1016/j.techfore.2018.01.008
   Hoque MA, 2019, SCI TOTAL ENVIRON, V692, P10, DOI 10.1016/j.scitotenv.2019.07.132
   Hornberg J., 2017, 528 ODI
   Hossain S., 2017, INT J RES ENV SCI, V3, DOI [10.20431/2454-9444.0304007, DOI 10.20431/2454-9444.0304007]
   Islam T, 2009, NAT HAZARDS, V48, P115, DOI 10.1007/s11069-008-9252-4
   Kabir E, 2017, ENERGIES, V10, DOI 10.3390/en10101615
   Karagiannis G.M., 2017, JRC SCI POLICY REPOR
   KARIM N, 1995, NAT HAZARDS, V11, P247, DOI 10.1007/BF00613409
   Khan I, 2016, INT J RENEW ENERGY R, V6, P43
   Khan I, 2020, RENEW SUST ENERG REV, V119, DOI 10.1016/j.rser.2019.109576
   Khan I, 2019, ENERGY RES SOC SCI, V55, P82, DOI 10.1016/j.erss.2019.04.019
   Khan T., 2018, WORLD REV BUS RES, V8, P12
   Kulatunga U., 2017, DISASTER RISK COMMUN, DOI [10.13140/RG.2.2.29163.98080, DOI 10.13140/RG.2.2.29163.98080]
   Kumar A, 2019, ENERGY RES SOC SCI, V48, P166, DOI 10.1016/j.erss.2018.10.005
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   Mondal AH, 2011, ENERGY SUSTAIN DEV, V15, P17, DOI 10.1016/j.esd.2010.11.004
   Muzammil M., 2019, CONFRONTING CLIMATE, P175
   Newcombe A, 2017, ENERGY SUSTAIN DEV, V38, P21, DOI 10.1016/j.esd.2017.03.002
   Quader MA, 2017, INT J ENV RES PUB HE, V14, DOI 10.3390/ijerph14080831
   Rahman M.A., 2019, PROGR AGR, V30, P253
   Rahman S, 2019, MANAG ENVIRON QUAL, V30, P498, DOI 10.1108/MEQ-01-2018-0021
   Rai N., 2015, RES REPORT
   Schwan S, 2011, OVERCOMING BARRIERS
   Setyowati AB, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12041603
   Shahid S, 2012, REG ENVIRON CHANGE, V12, P595, DOI 10.1007/s10113-011-0276-z
   Sharif I, 2013, ENRGY PROCED, V33, P343, DOI 10.1016/j.egypro.2013.05.075
   Sharma V, 2019, ENERGY RES SOC SCI, V52, P10, DOI 10.1016/j.erss.2019.01.025
   Sovacool BK, 2018, WORLD DEV, V110, P243, DOI 10.1016/j.worlddev.2018.05.028
   Sovacool BK, 2018, WORLD DEV, V102, P183, DOI 10.1016/j.worlddev.2017.10.014
   Sovacool BK, 2017, NATURE, V549, P433, DOI 10.1038/549433a
   Stephenson J, 2010, ENERG POLICY, V38, P6120, DOI 10.1016/j.enpol.2010.05.069
   Underwood G., 2020, ENERGY RES SOC SCI, V69
NR 49
TC 6
Z9 7
U1 1
U2 19
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 SEP
PY 2021
VL 79
AR 102190
DI 10.1016/j.erss.2021.102190
EA JUL 2021
PG 10
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA UQ6LL
UT WOS:000696173800002
DA 2025-01-10
ER

PT J
AU Chowdhooree, I
   Dawes, L
   Sloan, M
AF Chowdhooree, Imon
   Dawes, Les
   Sloan, Mellini
TI Scopes of community participation in development for adaptation:
   Experiences from the Haor region of Bangladesh
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Adaptation; Bangladesh; Community participation; Flood; Haor region; NGO
ID CLIMATE-CHANGE ADAPTATION; DISASTER RISK REDUCTION; FLOOD RESILIENCE;
   MANAGEMENT; VULNERABILITY; PERSPECTIVES; EMPOWERMENT; UNCERTAINTY;
   ENGAGEMENT; FRAMEWORK
AB In the disaster-context, adaptation is considered as the process of changing status with effective strategies for reducing disaster risks and enhancing resilience. Planning approaches for adaptation often merges with socioeconomic development, applying a top-down, technocratic rational paradigm. Whereas the bottom-up process of planning encourages communities to participate for sharing the power of decision making, incorporating its knowledge, ideas, and concerns. Particularly in developing countries, non-governmental organization (NGO)s, collaborating with communities and governmental organizations, conduct community development projects. The community reactions towards these projects and condition of community participation in their planning process are needed to be evaluated to develop a better understanding about the scope of community participation in the local level development activities for reducing future risks.
   This case study based research, employing qualitative tools, studies two settlements in the Haor region of Bangladesh to investigate NGO-driven development projects and their planning process through the lens of community participation. The region is a vast tectonic depression where its inhabitants live with significant seasonal flood risks, accommodating themselves on constructed islands.
   The empirical evidences are evaluated to identify levels of community participation and it has been found as ritualistic in most of the cases, where the community concerns and demands are ignored through convincing them, manipulating their ideas and providing therapies. It also does not often allow to empower the community to take control over the project, which is considered as necessary in a disaster context to coincide adaptation with development, aiming to enhance community resilience.
C1 [Chowdhooree, Imon] BRAC Univ Dhaka, Dept Architecture, Dhaka, Bangladesh.
   [Dawes, Les] Queensland Univ Technol, Sch Civil & Environm Engn, Sci & Engn Fac, Brisbane, Qld, Australia.
   [Sloan, Mellini] Queensland Univ Technol, Sci & Engn Fac, Urban & Reg Planning, Brisbane, Qld, Australia.
C3 Bangladesh Rural Advancement Committee BRAC; BRAC University; Queensland
   University of Technology (QUT); Queensland University of Technology
   (QUT)
RP Chowdhooree, I (corresponding author), BRAC Univ Dhaka, Dept Architecture, Dhaka, Bangladesh.
EM chowdhooree@gmail.com; l.dawes@qut.edu.au; mellini@qut.edu.au
RI Dawes, Les/I-9597-2012; Chowdhooree, Imon/AFO-1387-2022
OI Dawes, Les/0000-0003-2329-5940; Chowdhooree, Imon/0000-0003-4884-8257
CR AGNEW R, 1981, SOCIOL QUART, V22, P105, DOI 10.1111/j.1533-8525.1981.tb02212.x
   Agrawal A, 1999, WORLD DEV, V27, P629, DOI 10.1016/S0305-750X(98)00161-2
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Alam MK, 2010, J CONSTR DEV CTRIES, V15, P69
   Alexander DE, 2013, NAT HAZARD EARTH SYS, V13, P2707, DOI 10.5194/nhess-13-2707-2013
   Alkire S., 2001, PRSP SOURCE BOOK
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2014, IAP2 PUBL PART SPECT
   [Anonymous], 1972, PROBLEMS PROGR MED C
   [Anonymous], 2017, Terminology on Disaster Risk Reduction
   ARNSTEIN SR, 1969, J AM I PLANNERS, V35, P216, DOI 10.1080/01944366908977225
   Barrios RE, 2014, DISASTERS, V38, P329, DOI 10.1111/disa.12044
   Berke P.R., 1992, PLANNING EARTHQUAKE
   Birkmann J, 2010, SUSTAIN SCI, V5, P171, DOI 10.1007/s11625-010-0108-y
   Briggs XDS, 2008, DEMOCRACY AS PROBLEM SOLVING: CIVIC CAPACITY IN COMMUNITIES ACROSS THE GLOBE, P1
   Brinkerhoff DW, 2016, PUBLIC ADMIN REV, V76, P274, DOI 10.1111/puar.12399
   Brinkerhoff J.M., 2003, VOLUNTAS, V14, P105, DOI DOI 10.1023/A:1022997006704
   Bryant A., 2017, GROUNDED THEORY GROU
   Campbell Heather., 2000, INT PLAN STUD, V5, P321
   Campbell S., 2003, READING PLANNING THE, P1
   Cannon T, 2010, NAT HAZARDS, V55, P621, DOI 10.1007/s11069-010-9499-4
   Chowdhooree I., 2020, EXTERNAL INTERVENTIO, P3, DOI [10.1007/978-981-15-4948-91, DOI 10.1007/978-981-15-4948-9_1]
   Chowdhooree I, 2019, INT J DISAST RISK RE, V40, DOI 10.1016/j.ijdrr.2019.101259
   Chowdhooree I, 2018, INT J DISASTER RESIL, V9, P153, DOI 10.1108/IJDRBE-12-2016-0056
   CHRISTENSEN KS, 1985, J AM PLANN ASSOC, V51, P63, DOI 10.1080/01944368508976801
   Coles E., 2004, AUST J EMERG MANAG, V19, P7
   Cope M., 2010, Qualitative Research Methods in Human Geography, P281
   Cutter SL, 2016, NAT HAZARDS, V80, P741, DOI 10.1007/s11069-015-1993-2
   Faludi Andreas., 1973, PLAN THEOR
   Floress K, 2009, J AM WATER RESOUR AS, V45, P1352, DOI 10.1111/j.1752-1688.2009.00368.x
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Friedman J., 1987, PLANNING PUBLIC DOMA, P11
   Ganor M., 2003, Journal of Jewish Communal Service, V79, P105
   Gaventa J, 2012, WORLD DEV, V40, P2399, DOI 10.1016/j.worlddev.2012.05.014
   Godschalk DR, 2003, NAT HAZARDS REV, V4, P136, DOI 10.1061/(ASCE)1527-6988(2003)4:3(136)
   Gostelow L., 2016, Nutrition and Resilience: A Scoping Study
   Heazle M, 2013, ENVIRON SCI POLICY, V33, P162, DOI 10.1016/j.envsci.2013.05.009
   Holcombe SH., 2004, INT PUBLIC MANAG J, V7, P187
   Hostovsky C, 2006, J PLAN EDUC RES, V25, P382, DOI 10.1177/0739456X05282831
   Joshi A, 2012, PUBLIC MANAG REV, V14, P145, DOI 10.1080/14719037.2012.657837
   Kallestad E, 2018, J CONTEMP WAT RES ED, V164, P55, DOI 10.1111/j.1936-704X.2018.03284.x
   KARTEZ JD, 1987, J AM PLANN ASSOC, V53, P487, DOI 10.1080/01944368708977138
   Keating A, 2020, INT J DISAST RISK RE, V42, DOI 10.1016/j.ijdrr.2019.101355
   Keating A, 2017, DEV POLICY REV, V35, P65, DOI 10.1111/dpr.12201
   Kenney CM, 2015, INT J DISAST RISK RE, V14, P46, DOI 10.1016/j.ijdrr.2014.12.010
   Kwok AH, 2016, INT J DISAST RISK RE, V19, P197, DOI 10.1016/j.ijdrr.2016.08.013
   Lama PD, 2017, INT J DISAST RISK RE, V23, P193, DOI 10.1016/j.ijdrr.2017.04.010
   Levina E., 2006, ADAPTATION CLIMATE C
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   MCWHIRTER EH, 1991, J COUNS DEV, V69, P222, DOI 10.1002/j.1556-6676.1991.tb01491.x
   Miller F, 2010, ECOL SOC, V15
   Ministry of Water Resources (MoWR), 2010, MAST PLAN HAOR AR BA
   Misra S, 2017, INT J DISAST RISK RE, V22, P281, DOI 10.1016/j.ijdrr.2017.02.017
   MOEF, 2005, NAT AD PROGR ACT
   Moniruzzaman M, 2011, J S ASIAN DEV, V6, P67, DOI 10.1177/097317411100600104
   Monno V, 2012, INT PLAN STUD, V17, P85, DOI 10.1080/13563475.2011.638181
   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
   Oakley P., 1987, APPROPRIATE PARTICIP
   OBRIEN MJ, 1992, AM ANTIQUITY, V57, P36, DOI 10.2307/2694834
   Ojha HR, 2016, WORLD DEV, V87, P274, DOI 10.1016/j.worlddev.2016.06.017
   Oliver-Smith A, 2013, INT J DISAST RISK RE, V3, P1, DOI 10.1016/j.ijdrr.2012.12.001
   Paton D., 2017, Disaster resilience: an integrated approach
   Pendall R, 2010, CAMB J REG ECON SOC, V3, P71, DOI 10.1093/cjres/rsp028
   Pfefferbaum B., 2005, Handbook on injury and violence prevention interventions, P347
   Pielke R, 2007, NATURE, V445, P597, DOI 10.1038/445597a
   Rapaport C, 2018, INT J DISAST RISK RE, V31, P470, DOI 10.1016/j.ijdrr.2018.05.020
   Räsänen A, 2020, INT J DISAST RISK RE, V45, DOI 10.1016/j.ijdrr.2020.101485
   Salauddin M., 2011, 3 INT C WAT FLOOD MA
   Sandercock L., 1997, Towards Cosmopolis. Planning for Multicultural Cities
   Schelfaut K, 2011, ENVIRON SCI POLICY, V14, P825, DOI 10.1016/j.envsci.2011.02.009
   Selfa T, 2011, PATHWAYS FOR GETTING TO BETTER WATER QUALITY: THE CITIZEN EFFECT, P121, DOI 10.1007/978-1-4419-7282-8_10
   Silver H, 2010, INT J URBAN REGIONAL, V34, P453, DOI 10.1111/j.1468-2427.2010.00963.x
   Slim Hugo., 1995, DEV PRACT, V5, P143, DOI DOI 10.1080/0961452951000157114
   Sproule W., 2006, Social research methods: An Australian perspective, P113
   Thomalla F, 2006, DISASTERS, V30, P39, DOI 10.1111/j.1467-9523.2006.00305.x
   Tobin G., 1999, ENVIRON HAZARDS-UK, V1, P13
   World Bank, 2012, BUILDING URBAN RESIL
NR 79
TC 7
Z9 7
U1 2
U2 23
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 2020
VL 51
AR 101864
DI 10.1016/j.ijdrr.2020.101864
PG 12
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 PG4MX
UT WOS:000599712100010
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Taheri, F
   D'Haese, M
   Fiems, D
   Hosseininia, GH
   Azadi, H
AF Taheri, Fatemeh
   D'Haese, Marijke
   Fiems, Dieter
   Hosseininia, Gholam Hossein
   Azadi, Hossein
TI Wireless sensor network for small-scale farming systems in southwest
   Iran: Application of Q-methodology to investigate farmers' perceptions
SO COMPUTERS AND ELECTRONICS IN AGRICULTURE
LA English
DT Article
DE Smart Farming; Sensor Networks; Small-scale Farmers; Farmers'
   Perception; Q-methodology
ID AGRICULTURAL INFORMATION NEEDS; CLIMATE-CHANGE ADAPTATION; STAKEHOLDER
   PERSPECTIVES; USER ACCEPTANCE; RICE FARMERS; TECHNOLOGY; MANAGEMENT;
   IMPLEMENTATION; INTERNET; SECTOR
AB The application of wireless sensor networks (WSNs) has been promoted worldwide as an approach to smart farming, sustainable resource management and improved crop productivity. Despite their promotion, WSNs are not widely adopted in the whole world, especially by small-scale farmers. The adoption of WSN technologies is strongly affected by the perceptions of farmers who are the main users and potential adopters of such technology. Yet, the way WSN technology is perceived has been poorly studied. This study aims at closing this gap by investigating the small-scale farmers' perception regarding the application of WSNs for farming systems in Khuzestan Province, Iran. This research employed Q-methodology, an approach that integrates both qualitative and quantitative data allowing to study individuals' subjective understandings of a specific topic. The Q-sort procedure was performed in the field with twenty-five small-scale cereal farmers (with less than 2 ha of land). Next Q-factor analyses were conducted using the PQMethod software. Results propose to group farmers along with four types of perceptions regarding the application of WSNs, namely support-seekers, resistance-adherents, optimists and adoptive-adherents. These four groups cover 67% of the variance across perceptions. Various perceptions have shown that farmers have different views on WSN applications. Awareness of these perceptions can provide a valuable frame for policy and decision-makers, and allow for addressing the farmers' concerns and for developing appropriate and specific strategies for each group.
C1 [Taheri, Fatemeh; D'Haese, Marijke] Univ Ghent, Dept Agr Econ, B-9000 Ghent, Belgium.
   [Fiems, Dieter] Univ Ghent, Dept Telecommun & Informat Proc, B-9000 Ghent, Belgium.
   [Hosseininia, Gholam Hossein] Univ Tehran, Fac Entrepreneurship, Dept New Business, Tehran, Iran.
   [Azadi, Hossein] Univ Ghent, Dept Geog, B-9000 Ghent, Belgium.
   [Azadi, Hossein] Czech Univ Life Sci Prague, Fac Environm Sci, Prague, Czech Republic.
C3 Ghent University; Ghent University; University of Tehran; Ghent
   University; Czech University of Life Sciences Prague
RP Taheri, F (corresponding author), Univ Ghent, Dept Agr Econ, B-9000 Ghent, Belgium.
EM fatemeh.taheri@ugent.be
RI Taheri, Fatemeh/X-9077-2019; Fiems, Dieter/J-4442-2013; Azadi,
   Hossein/E-2361-2011
OI D'Haese, Marijke/0000-0002-0544-3420; Taheri,
   Fatemeh/0000-0003-4732-569X
FU Ghent University Special Research Fund (BOF) [01D03418]
FX This research was financially supported by the Ghent University Special
   Research Fund (BOF) (code: 01D03418).
CR Abd El-Kader SM, 2013, EGYPT INFORM J, V14, P221, DOI 10.1016/j.eij.2013.06.004
   Abdollahzadeh G, 2016, CROP PROT, V80, P42, DOI 10.1016/j.cropro.2015.10.021
   Ahmadi K., 2018, AGR CENSUS 2017 2018
   Ali M., 2015, APPL WIRELESS SENSOR
   Alibaygi A, 2011, PROCEDIA COMPUT SCI, V3, DOI 10.1016/j.procs.2010.12.191
   Amadu FO, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104692
   [Anonymous], 2005, EFTTA WCCA JOINT C I
   Bagheri A., 2011, Spanish Journal of Rural Development (SJRD), V2, P85
   Bagherpour H., 2015, Cercetari Agronomice in Moldova, V48, P17
   Banur D., 2019, COMPUT ELECTRON AGR, V156, P500, DOI DOI 10.1016/j.compag.2018.12.016
   Barbosa RA, 2020, LAND USE POLICY, V92, DOI 10.1016/j.landusepol.2020.104489
   Barnes AP, 2019, LAND USE POLICY, V80, P163, DOI 10.1016/j.landusepol.2018.10.004
   Bauer J, 2019, COMPUT ELECTRON AGR, V165, DOI 10.1016/j.compag.2019.104867
   Brooke T., 2013, ETHNOGRAPHY DESIGN V
   Brown S.R., 1993, Operant subjectivity, V16, P91, DOI DOI 10.22488/OKSTATE.93.100504
   Brown SR, 2019, PSYCHOL REC, V69, P565, DOI 10.1007/s40732-019-00354-5
   Byamukama M., 2018, EAI ENDORSED T INTER, V4, P1
   Camilli A, 2007, COMPUT ELECTRON AGR, V58, P25, DOI 10.1016/j.compag.2007.01.019
   Cao XH, 2008, ISA T, V47, P247, DOI 10.1016/j.isatra.2008.02.001
   Cheung R, 2013, COMPUT EDUC, V63, P160, DOI 10.1016/j.compedu.2012.12.003
   Damas M, 2001, MICROPROCESS MICROSY, V25, P177, DOI 10.1016/S0141-9331(01)00110-7
   Daxini A, 2019, RESOUR CONSERV RECY, V146, P280, DOI 10.1016/j.resconrec.2019.03.027
   De Steur H, 2019, AGRONOMY-BASEL, V9, DOI 10.3390/agronomy9060280
   Dela Rue BT, 2020, ANIM PROD SCI, V60, P133, DOI 10.1071/AN18566
   Dube E.E., 2013, WIRELESS FARMING MOB
   Elly T, 2013, LIBR REV, V62, P547, DOI 10.1108/LR-01-2013-0009
   Exel VJ., 2005, Q METHODOLOGY SNEAK
   Fahad Aldosari Fahad Aldosari, 2019, Journal of the Saudi Society of Agricultural Sciences, V18, P211, DOI 10.1016/j.jssas.2017.05.004
   Forouzani M, 2013, J ARID ENVIRON, V97, P190, DOI 10.1016/j.jaridenv.2013.07.003
   Gong TC, 2019, J ASIAN ECON, V64, DOI 10.1016/j.asieco.2019.07.002
   Hermelingmeier V, 2017, ECOL ECON, V136, P255, DOI 10.1016/j.ecolecon.2017.01.006
   Hormozi MA, 2012, PROC ECON FINANC, V1, P176, DOI 10.1016/S2212-5671(12)00021-4
   Jamshidi O, 2019, CLIM RISK MANAG, V23, P146, DOI 10.1016/j.crm.2018.06.002
   Jawad HM, 2017, SENSORS-BASEL, V17, DOI 10.3390/s17081781
   Jensen AK, 2019, ECOL ECON, V166, DOI 10.1016/j.ecolecon.2019.106400
   Kaloxylos A, 2012, COMPUT ELECTRON AGR, V89, P130, DOI 10.1016/j.compag.2012.09.002
   Karimi N, 2018, COMPUT ELECTRON AGR, V144, P269, DOI 10.1016/j.compag.2017.12.018
   Khorasani Fardavani M.E., 2009, IRAN J BIOSYST ENG, V40, P52
   Kim Y, 2009, COMPUT ELECTRON AGR, V66, P159, DOI 10.1016/j.compag.2009.01.007
   Lavanya M., 2018, INT J ENG TECHNOL, V3, P673, DOI DOI 10.14419/IJET.V7I2.33.15473
   Lévesque A, 2020, J ENVIRON PLANN MAN, V63, P1987, DOI 10.1080/09640568.2019.1694872
   Li C., 2014, J CHEM PHARM RES, V6, P1625
   Riquelme JAL, 2009, COMPUT ELECTRON AGR, V68, P25, DOI 10.1016/j.compag.2009.04.006
   Lowder SK, 2016, WORLD DEV, V87, P16, DOI 10.1016/j.worlddev.2015.10.041
   Mafuta M, 2012, IEEE INT CONF NETW
   McNairn H, 2004, CAN J REMOTE SENS, V30, P525, DOI 10.5589/m03-069
   Mirzaei A, 2019, WATER-SUI, V11, DOI 10.3390/w11091835
   Mohammad Zamani D., 2014, J AGR MACH, V40, P50
   Moser DJ, 2020, ENVIRON SCI POLICY, V104, P98, DOI 10.1016/j.envsci.2019.10.001
   Muangprathub J, 2019, COMPUT ELECTRON AGR, V156, P467, DOI 10.1016/j.compag.2018.12.011
   Munyua H., 2009, Agricultural Information Worldwide, V2, P3
   Munyua H, 2010, LIBR MANAGE, V31, P5, DOI 10.1108/01435121011013359
   Naveed MA, 2013, MALAYS J LIBR INF SC, V18, P13
   Nyadzi E, 2019, WEATHER CLIM SOC, V11, P127, DOI 10.1175/WCAS-D-17-0137.1
   Ogutu SO, 2019, WORLD DEV, V114, P281, DOI 10.1016/j.worlddev.2018.10.012
   Ojha T, 2015, COMPUT ELECTRON AGR, V118, P66, DOI 10.1016/j.compag.2015.08.011
   Pongnumkul S, 2015, J SENSORS, V2015, DOI 10.1155/2015/195308
   Ramlo SE., 2019, URBAN REV, V51, P231, DOI [10.1007/s11256-018-0473-x, DOI 10.1007/S11256-018-0473-X]
   Rasooli M.W., 2020, International Journal of Scientific and Technology Research, V9, P2456
   Rehman A.U., 2015, Smart agriculture: An approach towards better agriculture management
   Rezaei R, 2018, RENEW ENERG, V122, P382, DOI 10.1016/j.renene.2018.02.011
   Schall D, 2018, J RURAL STUD, V60, P21, DOI 10.1016/j.jrurstud.2018.03.003
   Soltani S, 2014, RENEW AGR FOOD SYST, V29, P126, DOI 10.1017/S1742170513000069
   Stringer LC, 2020, ENVIRON SCI POLICY, V104, P174, DOI 10.1016/j.envsci.2019.10.007
   Sy MM, 2018, ECOL ECON, V154, P1, DOI 10.1016/j.ecolecon.2018.07.018
   Taheri F, 2020, J ARID ENVIRON, V173, DOI 10.1016/j.jaridenv.2019.104028
   Tuokuu FXD, 2019, ENVIRON SCI POLICY, V97, P106, DOI 10.1016/j.envsci.2019.03.015
   Venkatesh V, 2003, MIS QUART, V27, P425, DOI 10.2307/30036540
   Verburg R, 2019, ENVIRON SCI POLICY, V97, P16, DOI 10.1016/j.envsci.2019.03.017
   Villa-Henriksen A, 2020, BIOSYST ENG, V191, P60, DOI 10.1016/j.biosystemseng.2019.12.013
   Walder P, 2018, ECOL ECON, V143, P55, DOI 10.1016/j.ecolecon.2017.06.018
   Wang F, 2020, J INFECT DIS, V221, P1762, DOI 10.1093/infdis/jiaa150
   Wang N, 2006, COMPUT ELECTRON AGR, V50, P1, DOI 10.1016/j.compag.2005.09.003
   Zagata L, 2010, AGR HUM VALUES, V27, P277, DOI 10.1007/s10460-009-9230-9
   Zheng S, 2019, CHINA AGR ECON REV, V11, P206, DOI [10.1108/caer-11-2017-0216, 10.1108/CAER-11-2017-0216]
NR 75
TC 17
Z9 17
U1 1
U2 27
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0168-1699
EI 1872-7107
J9 COMPUT ELECTRON AGR
JI Comput. Electron. Agric.
PD OCT
PY 2020
VL 177
AR 105682
DI 10.1016/j.compag.2020.105682
PG 16
WC Agriculture, Multidisciplinary; Computer Science, Interdisciplinary
   Applications
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture; Computer Science
GA NR7QU
UT WOS:000571756100012
DA 2025-01-10
ER

PT J
AU Worku, G
   Teferi, E
   Bantider, A
   Dile, YT
AF Worku, Gebrekidan
   Teferi, Ermias
   Bantider, Amare
   Dile, Yihun T.
TI Prioritization of watershed management scenarios under climate change in
   the Jemma sub-basin of the Upper Blue Nile Basin, Ethiopia
SO JOURNAL OF HYDROLOGY-REGIONAL STUDIES
LA English
DT Article
DE Climate change; Watershed management scenarios; Multi-criteria decision
   analysis; Jemma sub-basin; Blue Nile Basin
ID MODELS PERFORMANCE; SOIL; CONSERVATION; DECISION; QUALITY; AFRICA; SWAT
AB Study region: Jemma sub-basin, Upper Blue Nile Basin, Ethiopia.
   Study focus: This study develops watershed management alternatives which can ensure optimal climate change adaptation benefits under different climate scenarios. The climate scenarios were developed using the statistically bias corrected, multi-model ensemble mean and the RCP 4.5 and RCP 8.5 emission scenarios. The hydrological impact of climate change was assessed using a multi-gauge calibrated and validated the Soil and Water Assessment Tool (SWAT) model. Watershed management alternatives were prioritized using a multi-criteria decision analysis which intercompared watershed management criteria and alternatives through the Analytic Hierarchy Process.
   New hydrological insights: The findings showed a consistent decline of rainfall, surface runoff and total water yield under all climate scenarios and climate impact scenarios. Water harvesting structures were the most prioritized watershed management alternatives to reduce climate change impacts. More than half of the watersheds of the Jemma sub-basin are highly and optimally suitable for in-situ water harvesting under baseline and future climate scenarios. Observed terrace and anticipated in-situ water harvesting structures significantly (p<0.05) reduced surface runoff and thereby significantly increase soil water under baseline and future climate scenarios. However, both in-situ and ex-situ water harvesting structures caused an insignificant change in the total water yield under climate scenarios. We conclude implementing in-situ water harvesting structures can help to increase green water without a decline in blue water.
C1 [Worku, Gebrekidan; Teferi, Ermias] Addis Ababa Univ, Ctr Environm & Dev Studies, Addis Ababa, Ethiopia.
   [Bantider, Amare] Addis Ababa Univ, Ctr Food Secur Studies, Addis Ababa, Ethiopia.
   [Teferi, Ermias; Bantider, Amare] Addis Ababa Univ, Water & Land Resources Ctr, Addis Ababa, Ethiopia.
   [Dile, Yihun T.] Texas A&M Univ, Coll Agr & Life Sci, College Stn, TX USA.
   [Worku, Gebrekidan] Debretabor Univ, Dept Nat Resources Management, Debra Tabor, Ethiopia.
C3 Addis Ababa University; Addis Ababa University; Addis Ababa University;
   Texas A&M University System; Texas A&M University College Station
RP Worku, G (corresponding author), Addis Ababa Univ, Ctr Environm & Dev Studies, Addis Ababa, Ethiopia.
EM gebrwor@dtu.edu.et
RI Dagnew, Amare/GWZ-9391-2022; Tefera, Gebrekidan Worku/AFJ-7307-2022
OI Tefera, Gebrekidan Worku/0000-0003-3750-0490; Teferi,
   Ermias/0000-0002-4481-5362
FU Addis Ababa University; Debretabor University; Water and Land Resources
   Centre of Ethiopia; International Foundation for Science (IFS)
   [W_6227-1]; GCRF [ES/S008179/1] Funding Source: UKRI
FX This study was made possible through financial support to the first
   author from Addis Ababa University, Debretabor University and the Water
   and Land Resources Centre of Ethiopia. This study was also funded by the
   International Foundation for Science (IFS) (Grant No. W_6227-1). The
   authors of this study are thankful to the Ethiopian National
   Meteorological Agency and the Ethiopian Ministry of Water Irrigation and
   Electricity (MoWIE) which kindly provided us with the daily weather and
   hydrology data.
CR Abbaspour KC, 2004, VADOSE ZONE J, V3, P1340
   Amdihun A, 2014, ENV RES SYST, V3, P1, DOI [DOI 10.1186/s40068-014-0023-9, 10.1186/s40068-014-0023-9]
   [Anonymous], 2006, MAPPING POTENTIAL RA
   [Anonymous], 2009, THESIS
   [Anonymous], 2009, GUIDELINES ANAL EXTR
   [Anonymous], 2010, 140 IWMI, DOI DOI 10.5337/2010.214
   [Anonymous], 2007, CLIMATE CHANGE NATL
   Araya A, 2010, AGR WATER MANAGE, V97, P841, DOI 10.1016/j.agwat.2010.01.012
   Arnold JG., 2012, SOIL WATER ASSESSMEN
   Bates B., 2008, Climate change and water, DOI DOI 10.1029/90EO00112
   Betrie GD, 2011, HYDROL EARTH SYST SC, V15, P807, DOI 10.5194/hess-15-807-2011
   Biazin B, 2012, PHYS CHEM EARTH, V47-48, P139, DOI 10.1016/j.pce.2011.08.015
   Boko M, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P433
   Cao WZ, 2006, HYDROL PROCESS, V20, P1057, DOI 10.1002/hyp.5933
   Chung ES, 2009, J ENVIRON MANAGE, V90, P1502, DOI 10.1016/j.jenvman.2008.10.008
   Conway D, 2011, GLOBAL ENVIRON CHANG, V21, P227, DOI 10.1016/j.gloenvcha.2010.07.013
   de Bruin K, 2009, CLIMATIC CHANGE, V95, P23, DOI 10.1007/s10584-009-9576-4
   Desta L., 2005, Community-based participatory watershed development: A Guideline
   Dile Yihun T., 2016, Advances in Meteorology, V2016, DOI 10.1155/2016/5935430
   Dile YT, 2013, AGR ECOSYST ENVIRON, V181, P69, DOI 10.1016/j.agee.2013.09.014
   FAO, 2003, LAND WAT DIG MED SER, V26
   FDRE (Federal Democratic Republic of Ethiopia), 2019, ETH CLIM RES GREEN E
   FDRE:MoWIE, 2015, CLIMATE RESILIENCE S
   Gebremichael D, 2005, SOIL USE MANAGE, V21, P287, DOI 10.1079/SUM2005321
   Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003
   Haque AN, 2016, J MULTI-CRITERIA DEC, V23, P210, DOI 10.1002/mcda.1571
   Herweg K, 1999, CATENA, V36, P99, DOI 10.1016/S0341-8162(99)00004-1
   Hurni Berhe W., 2016, SOIL WATER CONSERVAT
   Hurni H., 1985, 4 INT C SOIL CONS NO
   Kundzewicz ZW, 2018, ENVIRON SCI POLICY, V79, P1, DOI 10.1016/j.envsci.2017.10.008
   Lemann T, 2016, APPL GEOGR, V73, P89, DOI 10.1016/j.apgeog.2016.06.008
   Malczewski J., 2000, T GIS, V4, P5, DOI DOI 10.1111/1467-9671.00035
   Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508
   Mengistu D, 2016, LAND DEGRAD DEV, V27, P1603, DOI 10.1002/ldr.2376
   Moriasi DN, 2015, T ASABE, V58, P1763
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Rockström J, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006767
   SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I
   SAATY TL, 1994, INTERFACES, V24, P19, DOI 10.1287/inte.24.6.19
   Snover AK, 2003, B AM METEOROL SOC, V84, P1513, DOI 10.1175/BAMS-84-11-1513
   Stocker TF, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P1, DOI 10.1017/cbo9781107415324
   USAID, 2013, AN CLIM CHANG AD OPT
   Viste E, 2013, INT J CLIMATOL, V33, P249, DOI 10.1002/joc.3409
   Waidler D., 2011, CONSERVATION PRACTIC
   WLRC, 2016, WAT LAND RES INF SYS
   Worku G., CLIMATE RISK MANAGEM
   Worku G, 2020, THEOR APPL CLIMATOL, V139, P1569, DOI 10.1007/s00704-019-03053-x
   Worku G, 2019, THEOR APPL CLIMATOL, V135, P839, DOI 10.1007/s00704-018-2412-x
   Worku G, 2018, DYNAM ATMOS OCEANS, V83, P53, DOI 10.1016/j.dynatmoce.2018.06.002
   World Bank, 2006, DIR DEV, P1, DOI 10.1596/978-0-8213-6498-7
   Yang JS, 2012, HYDROL EARTH SYST SC, V16, P801, DOI 10.5194/hess-16-801-2012
   Yilma A.D., 2009, CHARACTERIZATION ATL
NR 52
TC 14
Z9 14
U1 3
U2 17
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 OCT
PY 2020
VL 31
AR 100714
DI 10.1016/j.ejrh.2020.100714
PG 22
WC Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Water Resources
GA OF1AM
UT WOS:000580949900002
OA gold
DA 2025-01-10
ER

PT J
AU Singh, RK
   Singh, A
   Kumar, S
   Sheoran, P
   Sharma, DK
   Stringer, LC
   Quinn, CH
   Kumar, A
   Singh, D
AF Singh, Ranjay K.
   Singh, Anshuman
   Kumar, Satyendra
   Sheoran, Parvender
   Sharma, D. K.
   Stringer, Lindsay C.
   Quinn, Claire H.
   Kumar, Arvind
   Singh, Dheeraj
TI Perceived Climate Variability and Compounding Stressors: Implications
   for Risks to Livelihoods of Smallholder Indian Farmers
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Climate change; Land users; Multiple stressors; Hazards; Asia
ID CHANGE ADAPTATION; MULTIPLE STRESSORS; VULNERABILITY; PERCEPTIONS;
   DROUGHT; POLICY; GOVERNANCE; PARADIGM; RAINFALL; IMPACTS
AB Micro-scale perspectives are seldom included in planned climate change adaptations, yet farmers' perceptions can provide useful insights into livelihood impacts from interactions between climatic and other stressors. This research aims to understand how climate variability and other stressors are impacting the livelihoods of smallholder farmers in Azamgarh district, eastern Uttar Pradesh, India. Data from 84 smallholder farmers were collected using mixed qualitative and quantitative approaches, including interview and participatory methods, informed by multiple stressor and sustainable livelihood frameworks. Results revealed that farmers are increasingly facing problems caused by the reduced duration and number of rainy days, and erratic rainfall. Anomalies in seasonal cycles (longer summers, shorter winters) seem to have altered the local climate. Farmers reported that repeated drought impacts, even in years of moderate rainfall, are adversely affecting the rice crop, challenging the formal definition of drought. Climate variability, identified as the foremost stressor, often acts as a risk multiplier for ecological (e.g., soil sodicity), socio-economic (e.g., rising costs of cultivation) and political (e.g., mismatching policies and poor extension systems) stressors. In addition to climate stresses, resource-poor marginal groups in particular experienced higher risks resulting from changes in resource management regimes. This study provides an important cue to revisit the formal definitions of normal rainfall and drought, accommodating farmers' perceptions that evenly distributed rainfall, and not total rainfall is a key determinant of crop yields. Though India has developed adaptive measures for climate change and variability, integration of farmers' perceptions of climate and other stressors into such policies can improve the resilience of smallholder farmers, who have hitherto depended largely on autonomous adaptation strategies.
C1 [Singh, Ranjay K.; Singh, Anshuman; Kumar, Satyendra; Sheoran, Parvender; Sharma, D. K.; Kumar, Arvind] ICAR Cent Soil Salin Res Inst, Karnal 132001, Haryana, India.
   [Stringer, Lindsay C.; Quinn, Claire H.] Univ Leeds, Sustainability Res Inst, Sch Earth & Environm, Leeds, W Yorkshire, England.
   [Singh, Dheeraj] ICAR Cent Arid Zone Res Inst, Krishi Vigyan Kendra, Pali, Rajasthan, India.
C3 Indian Council of Agricultural Research (ICAR); ICAR - Central Soil
   Salinity Research Institute; University of Leeds; Indian Council of
   Agricultural Research (ICAR); ICAR - Central Arid Zone Research
   Institute
RP Singh, RK (corresponding author), ICAR Cent Soil Salin Res Inst, Karnal 132001, Haryana, India.
EM ranjaysingh_jbp@rediffmail.com
RI Singh, Anshuman/AAD-7676-2021; Sheoran, Parvender/GNP-6674-2022; Kumar,
   Satyendra/GQP-4680-2022; KUMAR, ARVIND/AAM-1553-2021; Quinn,
   Claire/AAU-8184-2020
OI Quinn, Claire/0000-0002-2085-0446; KUMAR, ARVIND/0000-0002-8162-1225;
   Singh, Anshuman/0000-0002-7689-9134
FU Indian Council of Agricultural Research, New Delhi, India through Lal
   Bahadur Shastri (LBS) Outstanding Scientist Award Project
   [NRMACSSRISOL201601600914]; Indian Council of Agricultural Research, New
   Delhi, India through LBS foreign visit fellowship
   [DARE/F.N0.8-6/2016-IC.II]
FX The knowledge and information support received from key informants and
   other farmers of the selected villages is gratefully acknowledged.
   Financial help was received from Indian Council of Agricultural
   Research, New Delhi, India through Lal Bahadur Shastri (LBS) Outstanding
   Scientist Award Project (No: NRMACSSRISOL201601600914) and through LBS
   foreign visit fellowship (DARE/F.N0.8-6/2016-IC.II) for completing
   research work at University of Leeds. Logistical support provided by
   ICAR-CSSRI, Karnal, India and School of Earth and Environment,
   University of Leeds, UK is appreciated.
CR Adimassu A, 2016, ENV SYST RES, V5
   Agrawal A, 2003, ANNU REV ANTHROPOL, V32, P243, DOI 10.1146/annurev.anthro.32.061002.093112
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   Agrawal P, 2013, NATURE, P501
   [Anonymous], 2011, Gender, Generations, Social Protection & Climate Change. A Thematic Review
   Antwi-Agyei P, 2018, CLIM RISK MANAG, V19, P83, DOI 10.1016/j.crm.2017.11.003
   Antwi-Agyei P, 2017, REG ENVIRON CHANGE, V17, P213, DOI 10.1007/s10113-016-0993-4
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
   Baud I., 2011, DEV PARTICIPATORY SP
   Bhargava A., 2014, IMPACT INDIAS RURAL
   Birkmann J., 2007, Environmental Hazards, V7, P20, DOI 10.1016/j.envhaz.2007.04.002
   Birthal P.S., 2007, Agricultural Economics Research Review, V20, P425
   Callo-Concha D, 2018, CLIMATE, V6, DOI 10.3390/cli6020044
   Census, 2011, AZ CENS 2011 CENS DA
   Chatterjee B, 2011, CLIMATE CHANGE FOOD
   Clements R., 2011, TECHNOLOGIES CLIMATE
   Das A, 2010, FARMERS PERCEPTION C
   Deressa T. T., 2009, Global Environmental Change, V19, P248, DOI 10.1016/j.gloenvcha.2009.01.002
   Dev S.M., 2012, SMALL FARMERS INDIA
   DoE, 2014, UTT PRAD STAT ACT PL
   Donatti CI, 2019, CLIM DEV, V11, P264, DOI 10.1080/17565529.2018.1442796
   England MI, 2018, REG ENVIRON CHANGE, V18, P2059, DOI 10.1007/s10113-018-1283-0
   *FAO, 2010, AS PAC COMM AGR STAT
   FICCI (Federation of Indian Chambers of Commerce & Industry), 2015, LAB IND AGR GROW CHA
   Fuys A, 2005, SECURING COMMON PROP
   Ge F, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/aaff7e
   GOI, 2014, LOK SABH UNST QUEST
   Gopalakrishnan R, 2015, WHAT INDIA CAN DO DI
   Government of Uttar Pradesh, 2009, INTEGRATED WATERSHED
   Hari S, 2018, EC SURVEY, P82
   Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6
   ICAR, 2011, NAT IN CLIM RES AGR
   IMD, 2017, RAINF DAT AZ DISTR U
   Ison R, 2013, ECOL ECON, V87, P34, DOI 10.1016/j.ecolecon.2012.12.016
   IWP, 2017, PREC AZ DISTR UTT PR
   Kanji N., 2001, Participatory Approaches to Research and Development in IIED: Learning from Experience
   Klenk N, 2015, ENVIRON SCI POLICY, V54, P160, DOI 10.1016/j.envsci.2015.05.017
   Kumar B, 2020, POLYCYCL AROMAT COMP, V40, P396, DOI 10.1080/10406638.2018.1441878
   Lambert SD, 2008, J ADV NURS, V62, P228, DOI 10.1111/j.1365-2648.2007.04559.x
   Likert R., 1932, ARCH PSYCHOL, V22, P55, DOI DOI 10.4135/9781412961288.N454
   Limantol AM, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2433-9
   Maddison D, 2006, 10 CEEPA U PRET
   Manjunatha AV, 2015, IMPACT NATL FOOD SEC
   McCubbin S, 2015, GLOBAL ENVIRON CHANG, V30, P43, DOI 10.1016/j.gloenvcha.2014.10.007
   McDowell JZ, 2012, GLOBAL ENVIRON CHANG, V22, P342, DOI 10.1016/j.gloenvcha.2011.11.002
   McNamara KE, 2020, NAT CLIM CHANGE, V10, P628, DOI 10.1038/s41558-020-0813-1
   Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019
   MoA, 2007, NAT POL FARM 2007
   MoA&FW, 2016, AGR CONT PLAN
   MoA&FW, 2015, MIN SUPP PRIC MSP AG
   MoA&FW, 2019, MIN MAJ SCHEM
   MoA&FW, 2010, NAT MISS SUST AGR ST
   MoEF&CC, 2010, NAT WETL ATL UTT PRA
   Mundry S, 2000, DESIGNING SUCCESSFUL, P31
   Nambiar N, 2016, INDIAN EXPRESS
   NICRA, 2016, CONT PLANN BULL 2010
   Niles MT, 2016, GLOBAL ENVIRON CHANG, V39, P133, DOI 10.1016/j.gloenvcha.2016.05.002
   O'Brien K, 2004, GLOBAL ENVIRON CHANG, V14, P303, DOI 10.1016/j.gloenvcha.2004.01.001
   OECD, 2018, REV AGR POL IND
   [Parry M.L. IPCC IPCC], 2007, Climate Change: Impacts, Adaption and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernamental Panel on Climate Change
   Paschen JA, 2014, RES POLICY, V43, P1083, DOI 10.1016/j.respol.2013.12.006
   Pingali PL, 2012, P NATL ACAD SCI USA, V109, P12302, DOI 10.1073/pnas.0912953109
   Raymond CM, 2010, J ENVIRON MANAGE, V91, P1766, DOI 10.1016/j.jenvman.2010.03.023
   RBI, 2018, IMP MGNREGS RUR LAB
   Redfern S. K., 2012, Building resilience for adaptation to climate change in the agriculture sector. Proceedings of a Joint FAO/OECD Workshop, Rome, Italy, 23-24 April 2012, P295
   Ribot J, 2014, J PEASANT STUD, V41, P667, DOI 10.1080/03066150.2014.894911
   Riedlinger D., 2001, POLAR RECORDS, V37, P315, DOI DOI 10.1017/S0032247400017058
   Sahai S, 2011, LEISA, V13
   Savo V, 2016, NAT CLIM CHANGE, V6, P462, DOI [10.1038/NCLIMATE2958, 10.1038/nclimate2958]
   Scoones I., 1998, Working Paper - Institute of Development Studies, University of Sussex
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Simelton E, 2013, CLIM DEV, V5, P123, DOI 10.1080/17565529.2012.751893
   Singh C, 2016, LAND USE POLICY, V59, P329, DOI 10.1016/j.landusepol.2016.06.041
   Singh RK, 2017, APPL GEOGR, V86, P41, DOI 10.1016/j.apgeog.2017.06.018
   Singh RK, 2014, INDIAN J TRADIT KNOW, V13, P377
   Singh RK, 2019, DEV SALINITY RES, P853, DOI DOI 10.1007/978-981-13-5832-6_30
   Slegers MFW, 2008, J ARID ENVIRON, V72, P2106, DOI 10.1016/j.jaridenv.2008.06.011
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Stringer LC, 2020, ENVIRON SCI POLICY, V104, P174, DOI 10.1016/j.envsci.2019.10.007
   Stringer LC, 2017, LAND DEGRAD DEV, V28, P1952, DOI 10.1002/ldr.2716
   Tripathi AK, 2014, AGRICULTURAL PRICES AND PRODUCTION IN POST-REFORM INDIA, P1
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   Truelove HB, 2015, GLOBAL ENVIRON CHANG, V31, P85, DOI 10.1016/j.gloenvcha.2014.12.010
   Udmale P, 2014, INT J DISAST RISK RE, V10, P250, DOI 10.1016/j.ijdrr.2014.09.011
   Vasudha Foundation, Climate Change and Environment Action Plan of Ahmedabad District
   Wilson RS, 2020, NAT CLIM CHANGE, V10, P200, DOI 10.1038/s41558-020-0691-6
NR 87
TC 26
Z9 29
U1 7
U2 38
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 NOV
PY 2020
VL 66
IS 5
BP 826
EP 844
DI 10.1007/s00267-020-01345-x
EA AUG 2020
PG 19
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ON9OF
UT WOS:000567226000001
PM 32789595
DA 2025-01-10
ER

PT J
AU Hoang, HG
AF Hoang, Hung Gia
TI Exploring Vietnamese cereal smallholders' perceptions and adaptations to
   temperature and precipitation variability: implications for adaptation
   strategies
SO LOCAL ENVIRONMENT
LA English
DT Article
DE Cereal smallholders; perceptions; temperature and precipitation
   variability; Tuy Phuoc district; Vietnam
ID CLIMATE-CHANGE ADAPTATION; FARMERS ADAPTATION; AGRICULTURAL PRODUCTION;
   DETERMINANTS; IMPACTS; RICE; MITIGATION; DROUGHT; WEATHER
AB In order to foster the adoption of temperature and precipitation variability (TPV) adapting practices by smallholders, it is essential to comprehend their views of TPV. However, few empirical studies have investigated how smallholders perceive TPV in Vietnam. This study investigates smallholders' attitudes towards TPV and their adapting practices in South Central Vietnam. A random sampling strategy was used to select 250 cereal smallholders for interviews and a structured questionnaire was developed to collect data. Descriptive and bivariate analyses were used. The study results show that smallholders had experienced TPV. They perceived that TPV have increased farming losses, labour costs in cereal fields, the costs of pest/weed control, the costs of water management, and the application rate of chemical inputs. The smallholders were adopting traditional adapting methods to reduce unexpected impacts of TPV on their cereal-based farming systems. Key adapting methods identified include: (1) dredging and restoration of irrigation canals; (2) planting of drought resistant cereal varieties; (3) usage of wells and water pumps for irrigation; and (4) early planting. A statistically significant relationship, existing between the cereal smallholders' perceptions of TPV and their education level (Pearson = 0.152,p = 0.016), income (Pearson = 0.108,p = 0.088), farm size (Pearson = 0.196;p = 0.002), gender (Eta = 0.184,p = 0.004), agricultural practices (Eta = 0.246,p = 0.000), information and communication technology own (Eta = 0.151,p = 0.017), training participation (Eta = 0.235,p = 0.000), and community-based organisation participation (Eta = 0.147,p = 0.020).
C1 [Hoang, Hung Gia] Hue Univ, Univ Agr & Forestry, Fac Rural Dev, Hue City, Vietnam.
C3 Hue University; Nong Lam University
RP Hoang, HG (corresponding author), Hue Univ, Univ Agr & Forestry, 102 Phung Hung St, Hue City, 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
   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
   Bastakoti RC, 2014, REG ENVIRON CHANGE, V14, P207, DOI 10.1007/s10113-013-0485-8
   Binh Dinh Province People's Committee, 2019, ANN REP SOC EC ACH 2
   Binh Dinh Statistical Office, 2019, STAT YB
   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
   Chen H, 2014, GLOBAL ENVIRON CHANG, V24, P193, DOI 10.1016/j.gloenvcha.2013.11.010
   Nhan DK, 2011, ADV GLOB CHANGE RES, V45, P437, DOI 10.1007/978-94-007-0934-8_24
   Dao T. A., 2011, LOCAL FOOD SYSTEMS V
   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
   DSM, 2017, ADM MAP SOC REP VIET
   Gbetibouo G.A., 2009, IFPRI DISCUSSION PAP, DOI DOI 10.1068/A312017
   Hatfield JL, 2020, CLIMATIC CHANGE, V163, P1719, DOI 10.1007/s10584-018-2222-2
   Hein Y, 2019, CLIMATE, V7, DOI 10.3390/cli7050064
   Hisali E, 2011, GLOBAL ENVIRON CHANG, V21, P1245, DOI 10.1016/j.gloenvcha.2011.07.005
   Hoang H. G., 2019, APPL ECOLOGY ENV SCI, V7, DOI [10.12691/aees-7-3-1, DOI 10.12691/AEES-7-3-1]
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Iizumi T, 2015, GLOB FOOD SECUR-AGR, V4, P46, DOI 10.1016/j.gfs.2014.11.003
   Imran M, 2020, ENVIRON DEV SUSTAIN, V22, P2121, DOI 10.1007/s10668-018-0280-2
   Jiang JH, 2015, PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON FLUID POWER AND MECHATRONICS - FPM 2015, P47, DOI 10.1109/FPM.2015.7337083
   Kassie BT, 2013, ENVIRON MANAGE, V52, P1115, DOI 10.1007/s00267-013-0145-2
   Keil A., 2013, Quarterly Journal of International Agriculture, V52, P1
   Kemausuor F., 2011, Journal of Agricultural and Biological Science, V6, P26
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kyei-Mensah C, 2019, ADV AGR, V2019, DOI 10.1155/2019/7930127
   Li CY, 2013, ENVIRON MANAGE, V52, P894, DOI 10.1007/s00267-013-0139-0
   Limantol AM, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2433-9
   Mainuddin M, 2013, NAT HAZARDS, V66, P905, DOI 10.1007/s11069-012-0526-5
   Manandhar S, 2013, CLIMATIC CHANGE, V120, P727, DOI 10.1007/s10584-013-0842-0
   Mishra AK, 2017, INT J CLIM CHANG STR, V9, P501, DOI 10.1108/IJCCSM-01-2017-0014
   Mitter H, 2019, ENVIRON MANAGE, V63, P804, DOI 10.1007/s00267-019-01158-7
   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
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Okonya J. S., 2013, Journal of Agricultural Science (Toronto), V5, P252
   Okumu O. F, 2013, SMALL SCALE FARMERS
   Ozor N., 2012, INT J AGR SCI, V4, P243
   Pandey R, 2018, ECOL INDIC, V84, P27, DOI 10.1016/j.ecolind.2017.08.021
   Rawlani AK, 2011, MITIG ADAPT STRAT GL, V16, P845, DOI 10.1007/s11027-011-9298-6
   Salma Umber Salma Umber, 2014, International Asian Research Journal, V2, P79
   Schmandt J., 1992, REGIONS GLOBAL WARMI, V1
   Shaffril HAM, 2018, SCI TOTAL ENVIRON, V644, P683, DOI 10.1016/j.scitotenv.2018.06.349
   Smith P, 2010, J AGR SCI-CAMBRIDGE, V148, P543, DOI 10.1017/S0021859610000341
   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
   Tuy Phuoc District People's Committee, 2019, ANN REP SOC EC ACH 2
   Udmale P, 2014, INT J DISAST RISK RE, V10, P250, DOI 10.1016/j.ijdrr.2014.09.011
   Verón SR, 2015, CLIMATIC CHANGE, V130, P235, DOI 10.1007/s10584-015-1350-1
   Weber EU, 2016, WIRES CLIM CHANGE, V7, P125, DOI 10.1002/wcc.377
   Yaro JA, 2013, REG ENVIRON CHANGE, V13, P1259, DOI 10.1007/s10113-013-0443-5
   Yu QY, 2014, J INTEGR AGR, V13, P1599, DOI 10.1016/S2095-3119(14)60805-4
NR 57
TC 6
Z9 6
U1 0
U2 9
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.
PD AUG 2
PY 2020
VL 25
IS 8
BP 597
EP 611
DI 10.1080/13549839.2020.1805599
EA AUG 2020
PG 15
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 NC2NO
UT WOS:000559003900001
DA 2025-01-10
ER

PT J
AU Ogega, OM
   Koske, J
   Kung'u, JB
   Scoccimarro, E
   Endris, HS
   Mistry, MN
AF Ogega, Obed M.
   Koske, James
   Kung'u, James B.
   Scoccimarro, Enrico
   Endris, Hussen S.
   Mistry, Malcolm N.
TI Heavy precipitation events over East Africa in a changing climate:
   results from CORDEX RCMs
SO CLIMATE DYNAMICS
LA English
DT Article
DE Intraseasonal precipitation variability; CORDEX; Regional climate model;
   RCP 8; 5; Global warming
ID FUTURE PRECIPITATION; PROJECTED CHANGES; RAINFALL; ENSEMBLE; EXTREMES;
   INDEXES; CHINA; MODEL; SMALLHOLDER; TEMPERATURE
AB The study assesses the performance of 24 model runs from five COordinated Regional climate Downscaling Experiment (CORDEX) regional climate models (RCMs) in simulating East Africa's spatio-temporal precipitation characteristics using a set of eight descriptors: consecutive dry days (CDD), consecutive wet days (CWD), simple precipitation intensity index (SDII), mean daily annual (pr_ANN), seasonal (pr_MAM and pr_OND) precipitation, and representatives of heavy precipitation (90p) and very intense precipitation (99p) events. Relatively better performing RCM runs are then used to assess projected precipitation changes (for the period 2071-2099 relative to 1977-2005) over the study domain under the representative concentration pathway (RCP) 8.5 scenario. The performance of RCMs is found to be descriptor and scope specific. Overall, RCA4 (r1i1p1) forced by CNRM-CERFACS-CNRM-CM5 and MPI-M-MPI-ESM-LR, REMO2009 (r1i1p1) forced by MPI-M-MPI-ESM-LR, and RCA4 (r2i1p1) forced by MPI-M-MPI-ESM-LR emerge as the top four RCM runs. We show that an ensemble mean of the top four model runs outperforms an ensemble mean of 24 model simulations and ensemble means for all runs in an RCM. Our analysis of projections shows a reduction (increase) in mean daily precipitation for MAM(OND), an increase(decrease) in CDD(CWD) events, and a general increase in SDII and the width of the right tail of the precipitation distribution (99p-90p). An increase in SDII and 99p-90p implies a possibility of occurrence of heavy and extreme precipitation incidences by the end of the twenty-first century. Our findings provide important information to support the region's climate change adaptation and mitigation efforts.
C1 [Ogega, Obed M.; Koske, James; Kung'u, James B.] Kenyatta Univ, Sch Environm Studies, Nairobi, Kenya.
   [Ogega, Obed M.] African Acad Sci, Nairobi, Kenya.
   [Scoccimarro, Enrico] Fdn CMCC Ctr Euromediterraneo Cambiamenti Climat, Bologna, Italy.
   [Endris, Hussen S.] IGAD Climate Predict & Applicat Ctr, Nairobi, Kenya.
   [Mistry, Malcolm N.] Ca Foscari Univ Venice, Dept Econ, Venice, Italy.
C3 Kenyatta University; Centro Euro-Mediterraneo sui Cambiamenti Climatici
   (CMCC); Universita Ca Foscari Venezia
RP Ogega, OM (corresponding author), Kenyatta Univ, Sch Environm Studies, Nairobi, Kenya.; Ogega, OM (corresponding author), African Acad Sci, Nairobi, Kenya.
EM obed.matundura@gmail.com
RI Mistry, Malcolm/AEY-0158-2022; Ogega, Obed/AAY-5081-2021; Scoccimarro,
   Enrico/AAV-6281-2020
OI Mistry, Malcolm/0000-0003-3345-6197; Ogega, Obed
   Matundura/0000-0003-4314-6969
CR AfDB, 2018, E AFR EC OUTL 2018
   Alessandro S.D., 2015, KENYA AGR RISK ASSES
   [Anonymous], 2001, COLLECTIONS SERIES
   Beck HE, 2019, B AM METEOROL SOC, V100, P473, DOI 10.1175/BAMS-D-17-0138.1
   Breil M, 2017, METEOROL Z, V26, P379, DOI 10.1127/metz/2017/0819
   Camberlin P., 2018, Oxford Research Encyclopedia of Climate Science, DOI DOI 10.1093/ACREFORE/9780190228620.013.512
   Chen WL, 2011, J CLIMATE, V24, P4741, DOI 10.1175/2011JCLI4102.1
   Cook KH, 2013, J CLIMATE, V26, P5931, DOI 10.1175/JCLI-D-12-00455.1
   Deque Michel, 2017, Climate Services, V7, P87, DOI 10.1016/j.cliser.2016.06.002
   Diaconescu EP, 2015, J HYDROMETEOROL, V16, P2301, DOI 10.1175/JHM-D-15-0025.1
   Dinku T, 2018, Q J ROY METEOR SOC, V144, P292, DOI 10.1002/qj.3244
   Dosio A, 2019, CLIM DYNAM, V53, P5833, DOI 10.1007/s00382-019-04900-3
   Dosio A, 2016, CLIM DYNAM, V46, P1599, DOI 10.1007/s00382-015-2664-4
   Dunning CM, 2018, J CLIMATE, V31, P9719, DOI [10.1175/JCLI-D-18-0102.1, 10.1175/jcli-d-18-0102.1]
   EAC, 2018, INV AGR
   Endris HS, 2019, CLIM DYNAM, V52, P2029, DOI 10.1007/s00382-018-4239-7
   Endris HS, 2013, J CLIMATE, V26, P8453, DOI 10.1175/JCLI-D-12-00708.1
   FAO, 2018, AGR SECT KEN
   Favre A., 2011, P INT C COORD REG CL
   Funk C, 2015, SCI DATA, V2, DOI 10.1038/sdata.2015.66
   Gebrechorkos SH, 2019, INT J CLIMATOL, V39, P18, DOI 10.1002/joc.5777
   Giorgi F, 2011, J CLIMATE, V24, P5309, DOI 10.1175/2011JCLI3979.1
   Gudoshava M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6b33
   Hawinkel P, 2016, J GEOPHYS RES-BIOGEO, V121, P2422, DOI 10.1002/2016JG003436
   Huffman GJ, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL040000
   IWMI, 2018, RAINF AGR
   Jiang ZH, 2015, J CLIMATE, V28, P8603, DOI 10.1175/JCLI-D-15-0099.1
   Kilavi M, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9120472
   Kim JW, 2014, CLIM DYNAM, V42, P957, DOI 10.1007/s00382-013-1730-z
   Kiros G, 2017, COGENT GEOSCI, V3, DOI 10.1080/23312041.2017.1353719
   Kisembe J, 2019, THEOR APPL CLIMATOL, V137, P1117, DOI 10.1007/s00704-018-2643-x
   Lazenby Melissa J., 2018, Journal of Climate, V31, P4807, DOI 10.1175/JCLI-D-17-0311.1
   Maidment RI, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.63
   Meehl G., 2011, Clivar Exchanges, V16, P4
   Menne MJ, 2012, J ATMOS OCEAN TECH, V29, P897, DOI 10.1175/JTECH-D-11-00103.1
   Morton JF, 2007, P NATL ACAD SCI USA, V104, P19680, DOI 10.1073/pnas.0701855104
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mubiru DN, 2018, CLIM RISK MANAG, V22, P4, DOI 10.1016/j.crm.2018.08.004
   Muhati GL, 2018, GLOB ECOL CONSERV, V16, DOI 10.1016/j.gecco.2018.e00469
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Nicholson SE, 1997, INT J CLIMATOL, V17, P117, DOI 10.1002/(SICI)1097-0088(199702)17:2<117::AID-JOC84>3.0.CO;2-O
   Nicholson SE, 2017, REV GEOPHYS, V55, P590, DOI 10.1002/2016RG000544
   Nikulin G, 2012, J CLIMATE, V25, P6057, DOI 10.1175/JCLI-D-11-00375.1
   Ochieng J, 2016, NJAS-WAGEN J LIFE SC, V77, P71, DOI 10.1016/j.njas.2016.03.005
   Ogega OM, 2017, THESIS
   Omondi PA, 2014, INT J CLIMATOL, V34, P1262, DOI 10.1002/joc.3763
   Opiyo FEO, 2014, PASTORALISM, V4, DOI 10.1186/s13570-014-0010-9
   Osima S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba1b
   Rockström J, 2010, AGR WATER MANAGE, V97, P543, DOI 10.1016/j.agwat.2009.09.009
   Salami A., 2010, 105 AFR DEV BANK
   Scoccimarro E, 2016, REG ENVIRON CHANGE, V16, P595, DOI 10.1007/s10113-014-0712-y
   Scoccimarro E, 2013, J CLIMATE, V26, P7902, DOI 10.1175/JCLI-D-12-00850.1
   Shiferaw A, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9030112
   Shongwe ME, 2011, J CLIMATE, V24, P3718, DOI 10.1175/2010JCLI2883.1
   Shonk JKP, 2018, CLIM DYNAM, V50, P939, DOI 10.1007/s00382-017-3650-9
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P2473, DOI 10.1002/jgrd.50188
   Vizy EK, 2012, J CLIMATE, V25, P5748, DOI 10.1175/JCLI-D-11-00693.1
   Wainwright CM, 2019, NPJ CLIM ATMOS SCI, V2, DOI 10.1038/s41612-019-0091-7
   Zhou BT, 2014, J CLIMATE, V27, P6591, DOI 10.1175/JCLI-D-13-00761.1
   Zhou RG, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-02575-6
NR 60
TC 37
Z9 39
U1 0
U2 21
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD AUG
PY 2020
VL 55
IS 3-4
BP 993
EP 1009
DI 10.1007/s00382-020-05309-z
PG 17
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA ML7MZ
UT WOS:000549646600032
DA 2025-01-10
ER

PT J
AU Peng, LLH
   Jiang, ZD
   Yang, XS
   He, YF
   Xu, TJ
   Chen, SS
AF Peng, Lilliana L. H.
   Jiang, Zhidian
   Yang, Xiaoshan
   He, Yunfei
   Xu, Tianjing
   Chen, Sophia Shuang
TI Cooling effects of block-scale facade greening and their relationship
   with urban form
SO BUILDING AND ENVIRONMENT
LA English
DT Article
DE Climate change; Vertical greening; Urban design; Urban heat island;
   Urban green space; Energy saving
ID VERTICAL GREENERY SYSTEMS; THERMAL PERFORMANCE; ENERGY SAVINGS;
   BUILDINGS; HEAT; SUMMER; WALLS; DESIGN; TEMPERATURE; HOT
AB Green facades in cities have great potential for facilitating climate change adaptation and mitigation due to their well-documented energy and cooling effects. Many studies have reported that a green facade can noticeably reduce the building surface temperature and cooling loads in summer. However, little is known about the extent to which large-scale facade greening cools the ambient air or the relationship between the cooling effects and urban form. This research employed the ENVI-met model to evaluate the summer cooling effects of block-scale facade greening and their relationship with urban form in Nanjing City in China. Six idealized urban blocks (IUBs) representing typical urban forms in Nanjing combined with five hypothetical facade-greening ratios generated 30 scenarios for simulation. The results revealed a distinct spatial pattern of cooling effects in each IUB. The cooling intensity decreases with increasing elevation, and it is strongest in ground spaces on the downwind side. The maximum cooling intensity is 0.96 degrees C and observed in the high-rise high-density site (HH). Among the six IUBs, the low-rise high-density block (LH) appears to be optimal for facade greening since it ranks in the top 1-3 for the four cooling-effect indicators. The threshold values were evaluated to further estimate the minimum greening ratios required to achieve corresponding energy-saving targets in each IUB. The findings can provide insights into the cool air dispersion process in urban canyons that have varying geometries. Furthermore, the results can inform vertical greening practices for the determination of appropriate sites and coverage ratios.
C1 [Peng, Lilliana L. H.; Yang, Xiaoshan; He, Yunfei; Xu, Tianjing] Nanjing Tech Univ, Sch Architecture, Lab Green Bldg & Ecocity, Nanjing 211816, Peoples R China.
   [Jiang, Zhidian] Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China.
   [Chen, Sophia Shuang] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Nanjing 210003, Peoples R China.
C3 Nanjing Tech University; Tongji University; Chinese Academy of Sciences;
   Nanjing Institute of Geography & Limnology, CAS
RP Yang, XS (corresponding author), 30 Puzhu Rd S, Nanjing 211816, Peoples R China.
EM Yangx@njtech.edu.cn
RI he, yun/JMB-6362-2023
OI Yang, Xiaoshan/0000-0001-7633-2982
FU National Natural Science Foundation of China [41871189, 51408303];
   Natural Science Foundation of Jiangsu Province, China [BK20140941,
   BK20161547]
FX This research is supported by the National Natural Science Foundation of
   China [grant numbers 41871189, 51408303], and the Natural Science
   Foundation of Jiangsu Province, China [grant numbers BK20140941,
   BK20161547]. We are grateful to Mr. Wang hai, manager of the
   experimental hotel, for his kind support and assistance in the field
   measurement. We would like to thank the two anonymous reviewers for
   their valuable comments.
CR Alexandria E, 2008, BUILD ENVIRON, V43, P480, DOI 10.1016/j.buildenv.2006.10.055
   [Anonymous], 2014, LANDSC URBAN PLAN
   [Anonymous], 2012, FURTHER DEV APPL 3D
   Bourbia F, 2010, RENEW ENERG, V35, P343, DOI 10.1016/j.renene.2009.07.017
   Cameron RWF, 2014, BUILD ENVIRON, V73, P198, DOI 10.1016/j.buildenv.2013.12.005
   Chen QY, 2013, ENERG BUILDINGS, V61, P298, DOI 10.1016/j.enbuild.2013.02.030
   Coma J, 2017, BUILD ENVIRON, V111, P228, DOI 10.1016/j.buildenv.2016.11.014
   Cuce E, 2017, APPL ENERG, V194, P247, DOI 10.1016/j.apenergy.2016.09.079
   de Jesus MP, 2017, BUILD ENVIRON, V119, P11, DOI 10.1016/j.buildenv.2017.03.041
   Djedjig R, 2017, ENERG BUILDINGS, V150, P403, DOI 10.1016/j.enbuild.2017.06.032
   Eumorfopoulo EA, 2009, BUILD ENVIRON, V44, P1024, DOI 10.1016/j.buildenv.2008.07.004
   Feyisa GL, 2014, LANDSCAPE URBAN PLAN, V123, P87, DOI 10.1016/j.landurbplan.2013.12.008
   Haggag M, 2014, ENERG BUILDINGS, V82, P668, DOI 10.1016/j.enbuild.2014.07.087
   Hoelscher MT, 2016, ENERG BUILDINGS, V114, P283, DOI 10.1016/j.enbuild.2015.06.047
   Hunter AM, 2014, ECOL ENG, V63, P102, DOI 10.1016/j.ecoleng.2013.12.021
   Jänicke B, 2015, ADV METEOROL, V2015, DOI 10.1155/2015/747259
   Jaganmohan M, 2016, J ENVIRON QUAL, V45, P134, DOI 10.2134/jeq2015.01.0062
   Jim CY, 2015, ENERGY, V90, P926, DOI 10.1016/j.energy.2015.07.127
   Jim CY, 2015, APPL ENERG, V154, P631, DOI 10.1016/j.apenergy.2015.05.077
   Jim CY, 2011, ECOL ENG, V37, P1112, DOI 10.1016/j.ecoleng.2011.02.005
   Katsoulas N, 2017, INT J BIOMETEOROL, V61, P943, DOI 10.1007/s00484-016-1274-0
   Kontoleon KJ, 2010, BUILD ENVIRON, V45, P1287, DOI 10.1016/j.buildenv.2009.11.013
   Koyama T, 2013, BUILD ENVIRON, V66, P96, DOI 10.1016/j.buildenv.2013.04.020
   Medl A, 2017, BUILD ENVIRON, V125, P227, DOI 10.1016/j.buildenv.2017.08.054
   Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004
   Morakinyo TE, 2019, URBAN FOR URBAN GREE, V37, P42, DOI 10.1016/j.ufug.2017.11.010
   Oliveira S, 2011, BUILD ENVIRON, V46, P2186, DOI 10.1016/j.buildenv.2011.04.034
   Olivieri F, 2017, ENERG BUILDINGS, V150, P132, DOI 10.1016/j.enbuild.2017.05.068
   Pérez G, 2017, APPL ENERG, V187, P424, DOI 10.1016/j.apenergy.2016.11.055
   Pérez G, 2014, RENEW SUST ENERG REV, V39, P139, DOI 10.1016/j.rser.2014.07.055
   Pérez G, 2011, APPL ENERG, V88, P4854, DOI 10.1016/j.apenergy.2011.06.032
   Perini K, 2011, BUILD ENVIRON, V46, P2287, DOI 10.1016/j.buildenv.2011.05.009
   Poddar S, 2017, ENERG EFFIC, V10, P887, DOI 10.1007/s12053-016-9487-y
   Serra V, 2017, ENERG BUILDINGS, V146, P333, DOI 10.1016/j.enbuild.2017.04.046
   Shashua-Bar L, 2012, BUILD ENVIRON, V57, P110, DOI 10.1016/j.buildenv.2012.04.019
   Suklje T, 2016, ENERGY, V115, P1055, DOI 10.1016/j.energy.2016.08.095
   Tan Z, 2016, ENERG BUILDINGS, V114, P265, DOI 10.1016/j.enbuild.2015.06.031
   Tsoka S, 2018, SUSTAIN CITIES SOC, V43, P55, DOI 10.1016/j.scs.2018.08.009
   Vox G, 2018, BUILD ENVIRON, V129, P154, DOI 10.1016/j.buildenv.2017.12.002
   Wong NH, 2010, BUILD ENVIRON, V45, P663, DOI 10.1016/j.buildenv.2009.08.005
   Yang F, 2018, SUSTAIN CITIES SOC, V39, P43, DOI 10.1016/j.scs.2018.01.049
   Yin HW, 2017, BUILD ENVIRON, V116, P195, DOI 10.1016/j.buildenv.2017.02.020
   Zölch T, 2016, URBAN FOR URBAN GREE, V20, P305, DOI 10.1016/j.ufug.2016.09.011
NR 43
TC 59
Z9 64
U1 21
U2 179
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 FEB
PY 2020
VL 169
AR 106552
DI 10.1016/j.buildenv.2019.106552
PG 12
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 LM5MQ
UT WOS:000532293100007
DA 2025-01-10
ER

PT J
AU López, ID
   Figueroa, A
   Corrales, JC
AF Dario Lopez, Ivan
   Figueroa, Apolinar
   Carlos Corrales, Juan
TI Multi-Dimensional Data Preparation: A Process to Support Vulnerability
   Analysis and Climate Change Adaptation
SO IEEE ACCESS
LA English
DT Article
DE Agricultural vulnerability analysis; climate variability; data cleaning;
   data preparation
ID DATA QUALITY
AB Agriculture is the backbone of a country & x2019;s economic system, considering that it not only provides food and raw materials but also employment opportunities for a large percentage of the population. In this way, determining the degree of agricultural vulnerability represents a guide for sustainability and adaptability focused on changing future conditions. In many cases, vulnerability analysis data is restricted to use by authorized personnel only, leaving open data policies aside. Furthermore, data in its native format (raw data) by nature tend to be diverse in structure, storage formats, and access protocols. In addition, having a large amount of open data is important (though not sufficient) to obtain accurate results in data-driven analysis. These data require a strict preparation process and having guides that facilitate this process is becoming increasingly necessary. In this study, we present the step by step processing of several open data sources in order to obtain quality information for feedback on different agricultural vulnerability analysis. The data preparation process is applied to a case study corresponding to the upper Cauca river basin in Colombia. All data sources in this study are public, official and are available from different web platforms where they were collected. In the same way, a ranking with the importance of variables for each dataset was obtained through automatic methods and validated through expert knowledge. Experimental validation showed an acceptable agreement between the ranking of automatic methods and the ranking of raters. The result of this study corresponds to 16 processed data sources ready to feed data-driven systems, as well as agricultural vulnerability methodologies.
C1 [Dario Lopez, Ivan; Carlos Corrales, Juan] Univ Cauca, Telemat Engn Grp, Campus Tulcan, Popayan 190002, Colombia.
   [Figueroa, Apolinar] Univ Cauca, Environm Studies Grp, Campus Tulcan, Popayan 190002, Colombia.
C3 Universidad del Cauca; Universidad del Cauca
RP López, ID (corresponding author), Univ Cauca, Telemat Engn Grp, Campus Tulcan, Popayan 190002, Colombia.
EM navis@unicauca.edu.co
RI lopez, ivan/GSM-8495-2022; Figueroa Casas, Apolinar/AAC-3182-2019
OI Figueroa Casas, Apolinar/0000-0003-3586-8187; Corrales, Juan
   Carlos/0000-0002-5608-9097; Lopez Gomez, Ivan Dario/0000-0002-9781-6094
FU project "Alternativas Innovadoras de Agricultura Inteligente para
   sistemas productivos agricolas del departamento del Cauca soportado en
   entornos de IoT'' [VRI ID4633]; Water Security and Sustainable
   Development Hub - UK Research and Innovation's Global Challenges
   Research Fund (GCRF) [ES/S008179/1]; GCRF [ES/S008179/1] Funding Source:
   UKRI
FX This work was financed by the project "Alternativas Innovadoras de
   Agricultura Inteligente para sistemas productivos agricolas del
   departamento del Cauca soportado en entornos de IoT'' [grant number: VRI
   ID4633] and the Water Security and Sustainable Development Hub which is
   funded by the UK Research and Innovation's Global Challenges Research
   Fund (GCRF) [grant number: ES/S008179/1].
CR Ang JC, 2016, IEEE ACM T COMPUT BI, V13, P971, DOI 10.1109/TCBB.2015.2478454
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 2012, 35 GERM C ART INT KI
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 2019, EVALUACIONES AGROPEC
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], [No title captured]
   [Anonymous], 1978, OUTLIERS STAT DATA
   [Anonymous], [No title captured]
   [Anonymous], 2000, IEEE Data Eng. Bull
   Aydilek IB, 2013, INFORM SCIENCES, V233, P25, DOI 10.1016/j.ins.2013.01.021
   Bosu MF, 2013, IEEE AUS SOFT ENGR, P97, DOI 10.1109/ASWEC.2013.21
   Corrales DC, 2018, SYMMETRY-BASEL, V10, DOI 10.3390/sym10070248
   Engels R, 1998, ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, P430
   FLEISS JL, 1971, PSYCHOL BULL, V76, P378, DOI 10.1037/h0031619
   Frénay B, 2014, IEEE T NEUR NET LEAR, V25, P845, DOI 10.1109/TNNLS.2013.2292894
   Gut P., 1993, Climate Responsive Building: Appropriate Building Construction in Tropical and Subtropical Regions
   Hawkins D., 1980, Identification of Outliers, DOI DOI 10.1007/978-94-015-3994-4
   He HB, 2009, IEEE T KNOWL DATA EN, V21, P1263, DOI 10.1109/TKDE.2008.239
   HOAGLIN DC, 1986, J AM STAT ASSOC, V81, P991, DOI 10.2307/2289073
   IFPRI, 2015, INT MOD POL AN AGR C
   Jose R, 2017, GISTAM: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON GEOGRAPHICAL INFORMATION SYSTEMS THEORY, APPLICATIONS AND MANAGEMENT, P184, DOI 10.5220/0006284601840194
   Kathiravelu P, 2017, LECT NOTES COMPUT SC, V10186, P101, DOI 10.1007/978-3-319-57741-8_7
   Khalid S, 2014, 2014 SCIENCE AND INFORMATION CONFERENCE (SAI), P372, DOI 10.1109/SAI.2014.6918213
   Lindner G, 1999, LECT NOTES ARTIF INT, V1704, P418
   Petersen K., 2007, Systematic Mapping Studies in Software Engineering, P1, DOI [10.14236/ewic/EASE2008.8, DOI 10.14236/EWIC/EASE2008.8]
   Ramirez C. H., 2015, CIMEXUS, V9, P31
   Ray DK, 2019, PLOS ONE, V14, DOI 10.1371/journal.pone.0217148
   Sadiq S, 2017, INT J INFORM MANAGE, V37, P150, DOI 10.1016/j.ijinfomgt.2017.01.003
   Wang GT, 2013, J ARTIF INTELL RES, V47, P1, DOI 10.1613/jair.3831
   Zakharov R, 2011, LECT N BIOINFORMAT, V7036, P133, DOI 10.1007/978-3-642-24855-9_12
NR 45
TC 7
Z9 7
U1 1
U2 14
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2169-3536
J9 IEEE ACCESS
JI IEEE Access
PY 2020
VL 8
BP 87228
EP 87242
DI 10.1109/ACCESS.2020.2992255
PG 15
WC Computer Science, Information Systems; Engineering, Electrical &
   Electronic; Telecommunications
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Telecommunications
GA LV9KW
UT WOS:000538765600112
OA gold
DA 2025-01-10
ER

PT J
AU Lawrence, J
   Blackett, P
   Cradock-Henry, NA
AF Lawrence, Judy
   Blackett, Paula
   Cradock-Henry, Nicholas A.
TI Cascading climate change impacts and implications
SO CLIMATE RISK MANAGEMENT
LA English
DT Article
DE Cascading impacts; Systems dynamics; Financial sector; Urban systems;
   Water services
ID SYSTEM DYNAMICS MODEL; ADAPTATION; CHALLENGES
AB Climate change is expected to have adverse impacts and implications for a range of human-environment systems. However, our understanding of the extent to which these impacts may propagate as cascades, compounding to form multiple impacts across sectors, is limited. Cascades result from interdependencies between systems and sub-systems of coupled natural and socio-economic systems in response to changes and feedback loops. The combined effects of interacting stressors may affect the ability of individuals, governments, and the private sector to adapt in time, before widespread damage occurs. We discuss the origins of cascading impacts thinking and present the results of an investigation of cascading impacts and implications in New Zealand. A participatory and collaborative approach was used through workshops and semi-structured interviews with sector informants, including engineers, local government staff, and financial risk managers and analysts from the financial services sectors. Qualitative data collection was combined with network and systems analysis to examine increased frequency of high-intensity rainfall events, sea-level rise and drought, across urban water infrastructure and the financial services, and the implications of cascading climate change impacts for governance. Results demonstrate that closer consideration of the combined effects of linked stressors can facilitate a better understanding of the scope and scale of climate change impacts. By using critical systems thinking in characterising and assessing how climate change impacts cascade across domains, we show the implications of cascades for their governance and reveal where climate change adaptation interventions might be focused. The research methods and insights into cascades provide a conceptual and practical basis for further development, which can inform the design of additional studies in other domains and jurisdictions.
C1 [Lawrence, Judy] Victoria Univ Wellington, Climate Change Res Inst, POB 600, Wellington 6140, New Zealand.
   [Blackett, Paula] Natl Inst Water & Atmospher Res, POB 11115, Hamilton 3251, New Zealand.
   [Cradock-Henry, Nicholas A.] Manaaki Whenua Landcare Res, Lincoln, New Zealand.
C3 Victoria University Wellington; National Institute of Water &
   Atmospheric Research (NIWA) - New Zealand; Landcare Research - New
   Zealand
RP Lawrence, J (corresponding author), Victoria Univ Wellington, Climate Change Res Inst, POB 600, Wellington 6140, New Zealand.
EM judy.lawrence@vuw.ac.nz; paula.blackett@niwa.co.nz;
   cradockhenryn@landcareresearch.co.nz
RI Lawrence, Judy/W-9823-2019
FU New Zealand Deep South National Science Challenge Cascading climate
   change impacts in Aotearoa-New Zealand project through the Ministry of
   Business, Innovation and Employment [CO1X1412]
FX The authors were funded by the New Zealand Deep South National Science
   Challenge Cascading climate change impacts in Aotearoa-New Zealand
   project through the Ministry of Business, Innovation and Employment
   Contract #CO1X1412. Thanks to Justin Connolly who produced the Fig. 2
   systems map and methodology and Benjamin Nistor who assisted with the
   workshops. The authors thank all research participants for their
   contributions. Useful feedback was received from two anonymous
   reviewers.
CR [Anonymous], 2018, GLOB RISKS REP 2018
   Ansell T, 2018, ENERG POLICY, V120, P514, DOI 10.1016/j.enpol.2018.05.053
   Barnett J, 2014, NAT CLIM CHANGE, V4, P1103, DOI 10.1038/NCLIMATE2383
   Blenckner T, 2015, AMBIO, V44, pS507, DOI 10.1007/s13280-015-0661-9
   Boin A., 2005, POLITICS CRISIS MANA, DOI 10.1017/CBO9780511490880
   Bollinger L.A., 2016, EVALUATING INFRASTRU
   Boston J., 2018, Policy Quarterly, V14, P40, DOI [10.4324/9780203073384-10, DOI 10.4324/9780203073384-10, 10.26686/pq.v14i2.5093, DOI 10.26686/PQ.V14I2.5093]
   Braun V, 2021, QUAL RES PSYCHOL, V18, P328, DOI 10.1080/14780887.2020.1769238
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   Carey M, 2017, ANN AM ASSOC GEOGR, V107, P350, DOI 10.1080/24694452.2016.1243039
   Carter NH, 2014, ECOL SOC, V19, DOI 10.5751/ES-06881-190343
   Cash DW, 2006, ECOL SOC, V11
   CCATWG, 2018, AD CLIM CHANG NZ REC
   CCATWG, 2017, AD CLIM CHANG NZ STO
   Challinor AJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0301
   Connolly J., 2018, SYSTEMS MAPS OUTLINI
   Cradock-Henry NA, 2020, METHODSX, V7, DOI 10.1016/j.mex.2020.100893
   Cupples J, 2007, ENVIRON PLANN A, V39, P2883, DOI 10.1068/a3932
   da Silva J, 2012, INT J URBAN SUSTAIN, V4, P125, DOI 10.1080/19463138.2012.718279
   Fountain AG, 2016, BIOSCIENCE, V66, P848, DOI 10.1093/biosci/biw110
   Galaz V, 2011, PUBLIC ADMIN, V89, P361, DOI 10.1111/j.1467-9299.2010.01883.x
   Gastelum JR, 2018, WATER RESOUR MANAG, V32, P2247, DOI 10.1007/s11269-018-1926-4
   Gill JC, 2016, EARTH SYST DYNAM, V7, P659, DOI 10.5194/esd-7-659-2016
   Givens JE, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00104
   Guma IP, 2018, INT J INF TECHNOL SY, V11, P72, DOI 10.4018/IJITSA.2018010104
   Hilly G, 2018, WATER-SUI, V10, DOI 10.3390/w10010081
   Hounjet M. W. A., 2016, COAST MANAGE, P407, DOI [10.1680/cm.61149.407, DOI 10.1680/CM.61149.407]
   Hu X, 2016, NAT HAZARDS, V80, P1083, DOI 10.1007/s11069-015-2012-3
   Johnson CR, 2011, J EXP MAR BIOL ECOL, V400, P17, DOI 10.1016/j.jembe.2011.02.032
   Kinzig AP, 2006, ECOL SOC, V11
   Koks E, 2018, NAT CLIM CHANGE, V8, P561, DOI 10.1038/s41558-018-0185-y
   Laing D., 2018, ABILITY STOP LIMIT P
   Latham ADM, 2015, BIOL INVASIONS, V17, P2821, DOI 10.1007/s10530-015-0931-2
   Lawrence J., 2016, C01X1225 CCII MBIE
   Lawrence J., 2019, CLIMATE CHANGE CASCA
   Lawrence J., 2016, POLICY QUARTERLY, V12, P30
   Lawrence J, 2018, ENVIRON SCI POLICY, V82, P100, DOI 10.1016/j.envsci.2018.01.012
   Local Government New Zealand, 2015, LOC GOV FUND REV DIS
   Local Government New Zealand, 2019, VULN QUANT LOC GOV I
   Ludy J, 2012, NAT HAZARDS, V61, P829, DOI 10.1007/s11069-011-0072-6
   Niiranen S, 2013, GLOBAL CHANGE BIOL, V19, P3327, DOI 10.1111/gcb.12309
   Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104
   Pachauri RK, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, pVII
   PCE, 2015, Preparing New Zealand for rising seas: certainty and uncertainty (Report)
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P159, DOI 10.1016/j.ijdrr.2018.07.004
   Pescaroli G, 2018, RISK ANAL, V38, P2245, DOI 10.1111/risa.13128
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Reyer C, 2012, REG ENVIRON CHANGE, V12, P523, DOI 10.1007/s10113-011-0269-y
   Rocha JC, 2018, SCIENCE, V362, P1379, DOI 10.1126/science.aat7850
   Shimizu Mika, 2015, Planet@Risk, V3
   Smith D., 2006, Key readings in crisis management: Systems and structures for prevention and recovery
   Storey B., 2017, Policy Quarterly, V13, P4, DOI 10.26686/pq.v13i4.4603
   Swanson J, 2002, J OPER RES SOC, V53, P472, DOI 10.1057/palgrave.jors.2601336
   Turner BL, 2016, CURR OPIN ENV SUST, V19, P160, DOI 10.1016/j.cosust.2016.04.001
   Tyler S, 2012, CLIM DEV, V4, P311, DOI 10.1080/17565529.2012.745389
   Walker B, 2004, ECOL SOC, V9
   Walker BH, 2009, ECOL SOC, V14
   Weisz C, 2018, ARCHIT DESIGN, V88, P24, DOI 10.1002/ad.2255
   Wilbanks TJ, 2010, ANN ASSOC AM GEOGR, V100, P719, DOI 10.1080/00045608.2010.500200
   Williams A, 2017, J CLEAN PROD, V148, P866, DOI 10.1016/j.jclepro.2017.02.002
   Willner SN, 2018, NAT CLIM CHANGE, V8, P594, DOI 10.1038/s41558-018-0173-2
   Winz I, 2009, WATER RESOUR MANAG, V23, P1301, DOI 10.1007/s11269-008-9328-7
   Zevenbergen C, 2018, WATER-SUI, V10, DOI 10.3390/w10091230
NR 63
TC 127
Z9 130
U1 10
U2 82
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0963
J9 CLIM RISK MANAG
JI CLIM. RISK MANAG.
PY 2020
VL 29
AR 100234
DI 10.1016/j.crm.2020.100234
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 ND4PW
UT WOS:000561885100003
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Pyttel, P
   Kunz, J
   Grossmann, J
AF Pyttel, Patrick
   Kunz, Joerg
   Grossmann, Josef
TI Growth of <i>Sorbus torminalis</i> after release from prolonged
   suppression
SO TREES-STRUCTURE AND FUNCTION
LA English
DT Article
DE Wild service tree; Growth; Radial increment; Crown extension; Crown
   redensification; Epicormic branching
ID FAGUS-SYLVATICA; L.; MORTALITY; RESPONSES
AB Key message Continuously suppressed S.torminalis trees were found to be highly sensitive to release cuttings. After release diameter growth increased drastically, the crown redensified from the inside and seeds were produced during the first growing season. Sorbustorminalis is valued for its timber characteristics and ecological role in cultural landscapes. Due to its increased drought tolerance, the species is of growing interest in the context of silviculturally driven climate change adaptation measures. Due to its comparably slow growth, it often forms a second canopy layer below other deciduous tree species. With regard to its ecological and economic value, forest practitioners need to know whether releasing these continuously suppressed individuals from competition is worth it. Therefore, the objective of this study was to examine the effect of release cuttings on the crown growth and radial increment of S.torminalis heavily suppressed by surrounding sessile oaks (Quercuspetraea). We observed changes of shoot and diameter growth within the first year following release cuttings. The overall average annual shoot growth more than tripled when compared to pre-release growth patterns (from 1.9 to 6.2 cm). The greatest release effects were found in the inner part of the crown. The majority of the shoots forming the crown periphery developed fruits and showed only restrained increment. Crown redensification from inside was accompanied by the development of epicormic branches in previously branch-free bole sections. Following release cuttings, diameter growth increased by several orders of magnitude. Altogether, release cuttings seem to have a very positive effect on the vitality of continuously suppressed S.torminalis trees. All released trees grew vigorously and developed fruits throughout the crown surface. Thus, release cuttings may facilitate species propagation and reduce inbreeding effects.
C1 [Pyttel, Patrick; Kunz, Joerg; Grossmann, Josef] Albert Ludwigs Univ Freiburg, Fac Environm & Nat Resources, Tennenbacher Str 4, D-79106 Freiburg, Germany.
C3 University of Freiburg
RP Pyttel, P (corresponding author), Albert Ludwigs Univ Freiburg, Fac Environm & Nat Resources, Tennenbacher Str 4, D-79106 Freiburg, Germany.
EM patrick.pyttel@waldbau.uni-freiburg.de
RI Großmann, Josef/AAX-3099-2021
OI Kunz, Jorg/0000-0002-8204-7878
FU Deutsche Bundesstiftung Umwelt (DBU) [25954-33/0]; Georg-Ludwig-Hartig
   Foundation; Gesellschaft zur Forderung der forst-und
   holzwirtschaftlichen Forschung an der Universitat Freiburg (GFH)
FX This work was based on a project funded by the Deutsche Bundesstiftung
   Umwelt (DBU, Project Number 25954-33/0). Additional Grants were given by
   the Georg-Ludwig-Hartig Foundation (GLH), and the Gesellschaft zur
   Forderung der forst-und holzwirtschaftlichen Forschung an der
   Universitat Freiburg (GFH).
CR Altman J, 2014, DENDROCHRONOLOGIA, V32, P107, DOI 10.1016/j.dendro.2014.01.004
   AMMER C, 2011, LWF WISSEN, V67, P24
   Angelone S, 2007, MOL ECOL, V16, P1291, DOI 10.1111/j.0962-1083.2006.03202.x
   [Anonymous], 1996, TREE RINGS ENV DENDR
   [Anonymous], 2004, BAUME PHANOMENE ANPA
   [Anonymous], 2011, R LANG ENV STAT COMP
   [Anonymous], NE9 USDA FOR SERV NE
   [Anonymous], THESIS
   [Anonymous], 1983, Der Jahrring: Standort, Methodik, Zeit und Klima in der Dendrochronologie
   Bayer D, 2017, SILVA FENN, V51, DOI 10.14214/sf.7748
   Beaudet M, 1998, CAN J FOREST RES, V28, P1007, DOI 10.1139/cjfr-28-7-1007
   Beyse R, 2001, OSTERREICHISCHE FORS, V112, P4
   Bigler C, 2003, CAN J FOREST RES, V33, P210, DOI 10.1139/X02-180
   Devine WD, 2006, TREES-STRUCT FUNCT, V20, P747, DOI 10.1007/s00468-006-0089-8
   Elflein T., 2008, Forstarchiv, V79, P155
   Franke A, 1994, BADEN WURTTEMB ERGER, P180
   Frech A, 2006, THESIS
   Fujii T, 2003, IAWA J, V24, P241, DOI 10.1163/22941932-90001593
   Fussi B, 2011, LWF AKTUELL, V82, P33
   Gross J., 2012, nortest: Test for Normality. R package Version 1.0-2
   Hemery GE, 2008, INT FOREST REV, V10, P591, DOI 10.1505/ifor.10.4.591
   Hochbichler E., 2003, Forst und Holz, V58, P647
   Kahle M, 2004, UNTERSUCHUNGEN ZUM W, P21
   Kleinschmit J., 1998, Forst und Holz, V53, P515
   Kotar M., 2001, CORMINARIA, V16, P19
   Kraft G., 1884, BEITRAGE LEHRE DURCH
   Kunz J, 2018, FOREST ECOL MANAG, V414, P15, DOI 10.1016/j.foreco.2018.02.016
   LOBF (Landesanstalt fur Okologie Bodenordnung und Forsten Nordrhein-Westfalen), 2004, MERKBL ART ELSB
   MAGGS D. H., 1963, JOUR HORT SCI, V38, P119
   Mayer R, 1957, THESIS
   Miller Gary W., 2000, Northern Journal of Applied Forestry, V17, P25
   Nicolescu V.N., 2009, Die Bodenkultur, V60, P35
   POWER SA, 1994, FORESTRY, V67, P13, DOI 10.1093/forestry/67.1.13
   Pyttel P, 2013, TREES-STRUCT FUNCT, V27, P1609, DOI 10.1007/s00468-013-0908-7
   Pyttel PL, 2015, FOREST ECOL MANAG, V349, P94, DOI 10.1016/j.foreco.2015.03.037
   Pyttel PL, 2013, FOREST ECOL MANAG, V289, P18, DOI 10.1016/j.foreco.2012.09.046
   Reventlow DOJ, 2019, FORESTRY, V92, P120, DOI 10.1093/forestry/cpy039
   Rohle H., 1985, Forstarchiv, V56, P238
   Roloff A., 2001, BAUMKRONEN VERSTANDN
   Schrotter H., 2001, Forst und Holz, V56, P188
   Schute G, 2000, THESIS
   Suchomel C, 2012, BIOMASS BIOENERG, V46, P722, DOI 10.1016/j.biombioe.2012.06.021
   Suzuki A, 2002, TREE PHYSIOL, V22, P885, DOI 10.1093/treephys/22.12.885
   Werres JM, 2018, THESIS
   Wilhelm GJ, 2007, TAGUNGS EXKURSIONSFU, P13
NR 45
TC 6
Z9 6
U1 0
U2 12
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 0931-1890
EI 1432-2285
J9 TREES-STRUCT FUNCT
JI Trees-Struct. Funct.
PD DEC
PY 2019
VL 33
IS 6
BP 1549
EP 1557
DI 10.1007/s00468-019-01877-8
PG 9
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA JK4RE
UT WOS:000494830600002
DA 2025-01-10
ER

PT J
AU Burillo, D
   Chester, MV
   Pincetl, S
   Fournier, E
AF Burillo, Daniel
   Chester, Mikhail V.
   Pincetl, Stephanie
   Fournier, Eric
TI Electricity infrastructure vulnerabilities due to long-term growth and
   extreme heat from climate change in Los Angeles County
SO ENERGY POLICY
LA English
DT Article
DE Electricity infrastructure; Vulnerability assessment; Capacity
   shortages; Climate change; Extreme heat; Power outages
ID THERMAL COMFORT; ENERGY-CONSUMPTION; IMPACTS; SYSTEMS; DEMAND;
   EFFICIENCY; BUILDINGS; ADAPTATION; GENERATION; STATE
AB Many studies have estimated the effects of rising air temperatures due to climate change on electricity infrastructure systems, but none have quantified impacts in terms of potential outages down to the neighborhood scale. Using high-resolution climate projections, infrastructure maps, and forecasts of peak electricity demand for Los Angeles County (LAC), we estimated vulnerabilities in the electricity infrastructure to 2060. We considered rising air temperatures under IPCC RCP 4.5 and RCP 8.5 at 2 km(2) grid cell resolution, two local government population growth scenarios, different efficiency implementations of new residential and commercial buildings, air conditioners (AC), and higher AC penetration. Results were that generators, substations, and transmission lines could lose up to 20% of safe operating capacities (MW). Moreover, based on recent historical load factors for substations in the Southern California Edison service territory, 848-6,724 MW (4-32%) of additional capacity, distributed energy resources, and/or peak load shifting could be needed by 2060 to avoid hardware overloading and outages. If peak load is not mitigated, and/or additional infrastructure capacity not added, then all scenarios result in > 100% substation overloading in Santa Clarita, which would trigger automatic outages, and > 20% substation overloading in at least Lancaster, Palmdale, and Pomona in which protection gear could trip outages within 30 min. Several climate change adaptation options are discussed for electricity infrastructure and building stock with consideration for trade-offs in system stability and other energy and environmental goals.
C1 [Burillo, Daniel; Chester, Mikhail V.] Arizona State Univ, Dept Civil Environm & Sustainable Engn, 660S Coll Ave, Tempe, AZ 85281 USA.
   [Pincetl, Stephanie; Fournier, Eric] Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90024 USA.
C3 Arizona State University; Arizona State University-Tempe; University of
   California System; University of California Los Angeles
RP Burillo, D (corresponding author), Arizona State Univ, Dept Civil Environm & Sustainable Engn, 660S Coll Ave, Tempe, AZ 85281 USA.
EM contact@danielburillo.com; mchester@asu.edu; spinceti@ioes.ucla.edu;
   efournier@ioes.ucla.edu
FU California Energy Commission [CEC EPC-15-007]; National Science
   Foundation [1360509]; Division Of Earth Sciences; Directorate For
   Geosciences [1360509] Funding Source: National Science Foundation
FX This material is based in part upon work supported by the California
   Energy Commission under grant number CEC EPC-15-007, Climate change in
   Los Angeles County: grid vulnerability to extreme events, and the
   National Science Foundation under grant number 1360509, 2014-2017,
   Advancing infrastructure and institutional resilience to climate change
   for coupled water-energy systems. 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 California
   Energy Commission or the National Science Foundation.
CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006
   [Anonymous], 2016, 2016 2040 REG TRANSP
   [Anonymous], AUG 14 BLACK COMP PR
   [Anonymous], 2012, IEEE Guide for Loading Mineral-Oil-Immersed Transformers and Step-Voltage Regulators, IEEE Std C5791-2011 Revis, P1, DOI DOI 10.1109/IEEESTD.2012.6166928
   [Anonymous], PHOENIX BUS J
   [Anonymous], BLACK TRACK US ANN R
   [Anonymous], 2013, CLIM CHANG 2013 5 AS
   [Anonymous], ENV RES LETT
   [Anonymous], BUILD EN EFF STAND R
   [Anonymous], 2016, 2016 - 2040 RTP / SCS Final Growth Forecast by Jurisdiction 2016 - 2040 RTP / SCS Final Growth Forecast by Jurisdiction
   [Anonymous], EER SEER PRED SEAS C
   [Anonymous], EN DIV PROP P 14 10
   [Anonymous], 2021, 2021 INT RES PLAN
   [Anonymous], RTPSCS APP DEM GROWT
   [Anonymous], 2012, 738 IEEE, DOI [10.1109/IEEESTD.2013.6692858, DOI 10.1109/IEEESTD.2013.6692858]
   [Anonymous], US EL SYST OP DAT HO
   Arsenault R., 2016, J S HIST, V50, P597
   Asian Development Bank, 2012, Climate Risk and Adaptation in the Electric Power Sector
   Auffhammer M, 2017, P NATL ACAD SCI USA, V114, P1886, DOI 10.1073/pnas.1613193114
   Bartos MD, 2015, NAT CLIM CHANGE, V5, P748, DOI [10.1038/nclimate2648, 10.1038/NCLIMATE2648]
   Bie ZH, 2017, P IEEE, V105, P1253, DOI 10.1109/JPROC.2017.2679040
   BluePoint Planning, 2018, CAL ZER NET EN ACT P
   Bravo K., 2018, POWER OUTAGES AFFECT
   Bridge G, 2013, ENERG POLICY, V53, P331, DOI 10.1016/j.enpol.2012.10.066
   Brooks F.J., 2000, GE Gas Turbine Performance Characteristics
   Burillo D., 2018, USITC PUBL, VCCCA4-CEC-2018-013
   Burillo D, 2019, APPL ENERG, V236, P1, DOI 10.1016/j.apenergy.2018.11.039
   Burillo D, 2017, APPL ENERG, V206, P267, DOI 10.1016/j.apenergy.2017.08.141
   Bush J., 2015, FIELD TESTING ICE ST
   CEC, 2018, CAL REN PORTF STAND
   CEC, 1999, HIGH TEMP EL DEM ASS
   CEC, 2017, CAL EN COMM TRACK PR, P1
   Cooper C., 2016, BUILDING FUTURE CONS
   DECKER NATHANIEL, 2017, RIGHT TYPE RIGHT PLA, P15
   Deru M., 2011, US DEP ENERGY COMMER, V1118
   Dirks JA, 2015, ENERGY, V79, P20, DOI 10.1016/j.energy.2014.08.081
   DRP, 2017, LOS ANG COUNT COMM C
   Dubey S, 2013, ENRGY PROCED, V33, P311, DOI 10.1016/j.egypro.2013.05.072
   EIA, 2017, LAYER INF INT STAT M
   EPER, 2019, SOURC GREENH GAS EM
   FERC/ NERC, 2012, AR SO CAL OUT SEPT 8
   Forzieri G, 2018, GLOBAL ENVIRON CHANG, V48, P97, DOI 10.1016/j.gloenvcha.2017.11.007
   Fthenakis V, 2009, RENEW SUST ENERG REV, V13, P1465, DOI 10.1016/j.rser.2008.09.017
   Garcia-cerrutti M., 2011, REVISED SHORT TERM P
   Ge SY, 2015, J MOD POWER SYST CLE, V3, P468, DOI 10.1007/s40565-015-0157-4
   Greenlnfo Network, 2018, CAL PROT AR DAT PORT
   Henry CL, 2016, ENVIRON SCI TECHNOL, V50, P9764, DOI 10.1021/acs.est.6b01503
   Hines P, 2009, IEEE POTENTIALS, V28, P24, DOI 10.1109/MPOT.2009.933498
   Hirano Y, 2005, Journal of Environmental Engineering(Transaction of AIJ), P75
   IEEE, 2012, C373012011 IEEE, DOI [10.1109/IEEESTD.2012.6175995, DOI 10.1109/IEEESTD.2012.6175995]
   Kumar S, 2016, BUILD ENVIRON, V109, P135, DOI 10.1016/j.buildenv.2016.09.023
   LARC, 2017, COMM GHG INV CIT LA
   Levinson R, 2010, SOL ENERG MAT SOL C, V94, P946, DOI 10.1016/j.solmat.2009.12.012
   Carrasco JM, 2006, IEEE T IND ELECTRON, V53, P1002, DOI 10.1109/TIE.2006.878356
   Maulbetsch J., 2006, COST VALUE WATER USE
   Miara A, 2017, NAT CLIM CHANGE, V7, P793, DOI [10.1038/nclimate3417, 10.1038/NCLIMATE3417]
   NERC, 2015, STAT REL 2013
   Nexans, 2014, BAR OV COND AAC ACSR
   Ochoa LF, 2011, IEEE T POWER SYST, V26, P198, DOI 10.1109/TPWRS.2010.2049036
   Panteli M, 2015, ELECTR POW SYST RES, V127, P259, DOI 10.1016/j.epsr.2015.06.012
   Parsons K., 2014, Human thermal environments: the effects of hot, moderate, and cold environments on human health, comfort, and performance, V3rd, DOI [10.1201/b16750, DOI 10.1201/B16750]
   Penn I., 2017, Los Angeles Times, V22
   PG&E, 2012, FIN PG E GEN INT UN
   Ralff-Douglas K., 2016, Climate Adaptation in the Electric Sector: Vulnerability Assessments Resiliency Plans
   Rand J, 2018, SOCAL HEAT WAVE LEAV
   Reyna JL, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14916
   Rinaldi SA, 2001, IEEE CONTR SYST MAG, V21, P11, DOI 10.1109/37.969131
   Ruddell BL, 2014, APPL ENERG, V134, P35, DOI 10.1016/j.apenergy.2014.07.096
   Sailor DJ, 2001, ENERGY, V26, P645, DOI 10.1016/S0360-5442(01)00023-8
   Sailor DJ, 1997, ENERGY, V22, P987, DOI 10.1016/S0360-5442(97)00034-0
   Santamouris M, 2015, ENERG BUILDINGS, V98, P119, DOI 10.1016/j.enbuild.2014.09.052
   Sathaye J., 2012, USITC PUBL, VCEC-500-2012-057
   Sathaye JA, 2013, GLOBAL ENVIRON CHANG, V23, P499, DOI 10.1016/j.gloenvcha.2012.12.005
   SCE, 2016, SO CAL ED DISTR EN R
   SCE, 2016, SO CAL ED INT HDB
   Shashua-Bar L, 2009, LANDSCAPE URBAN PLAN, V92, P179, DOI 10.1016/j.landurbplan.2009.04.005
   Sleeter B.M., 2017, USGS Land-Use and Climate Change Team
   St John J., 2018, FERC Allows Energy Storage to Play in Nationwide Wholesale Markets
   Stanton MCB, 2016, ENERGY, V109, P1148, DOI 10.1016/j.energy.2016.05.015
   Stein J., 2018, ASSESSING LOS ANGELE
   Sun FP, 2015, J CLIMATE, V28, P4618, DOI 10.1175/JCLI-D-14-00197.1
   Taleghani M, 2013, RENEW SUST ENERG REV, V26, P201, DOI 10.1016/j.rser.2013.05.050
   Tim Mason T.C., 2012, Capital costs for transmissions and substations
   Vaiman M, 2012, IEEE T POWER SYST, V27, P631, DOI 10.1109/TPWRS.2011.2177868
   van Vliet MTH, 2016, NAT CLIM CHANGE, V6, P375, DOI [10.1038/nclimate2903, 10.1038/NCLIMATE2903]
   Vine E, 2012, CLIMATIC CHANGE, V111, P75, DOI 10.1007/s10584-011-0242-2
   Walton DB, 2015, J CLIMATE, V28, P4597, DOI 10.1175/JCLI-D-14-00196.1
   Wang SJ, 2014, J APPL MATH, DOI 10.1155/2014/810607
   Wang YP, 2006, APPL ENERG, V83, P989, DOI 10.1016/j.apenergy.2005.10.002
   Willis H.L., 2001, AGING POWER DELIVERY
   Yang L, 2014, APPL ENERG, V115, P164, DOI 10.1016/j.apenergy.2013.10.062
   Zakeri B, 2015, RENEW SUST ENERG REV, V42, P569, DOI 10.1016/j.rser.2014.10.011
   Zamuda C., 2016, Climate Change and the Electricity Sector: Guide for Climate Change Resilience Planning
   Zhu XJ, 2016, ASIA-PAC POWER ENERG, P1898, DOI 10.1109/APPEEC.2016.7779819
NR 94
TC 27
Z9 30
U1 4
U2 46
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0301-4215
EI 1873-6777
J9 ENERG POLICY
JI Energy Policy
PD MAY
PY 2019
VL 128
BP 943
EP 953
DI 10.1016/j.enpol.2018.12.053
PG 11
WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology
GA HS2KF
UT WOS:000463688800088
OA Bronze, Green Published
DA 2025-01-10
ER

PT J
AU Kim, HG
   Lee, DK
   Park, C
AF Kim, Ho Gul
   Lee, Dong Kun
   Park, Chan
TI Assessing the Cost of Damage and Effect of Adaptation to Landslides
   Considering Climate Change
SO SUSTAINABILITY
LA English
DT Article
DE adaptation plan; effective decision making; shallow landslides; spatial
   distribution model; benefit and cost analysis for adaptation
ID HAZARD; SUSCEPTIBILITY; SCENARIOS; REGION; SCALE; AREA
AB The amount of damage caused by landslides has increased due to climate change. Adaptation plans are required to help cope with landslides in order to reduce the extent of the damage. Landslide hazard analysis can help create adaptation plans. Analyzing the cost of damage of and the effect of adaptation to landslides is an effective way to support decision makers. The cost of damage is calculated using the costs of damage incurred in residential and transportation areas in the past, based on data from annual reports. Spatial distribution models are used to analyze landslide hazard areas in the present and the future. Future or potential landslide hazards are estimated by using climate change scenarios through representative concentration pathways. The effects of adaptation measures are assessed using modified variables and a cost-benefit analysis. The uncertainty of the cost of damage is considered using average, minimum, and maximum values. As a result, the methods used to estimate future costs of damage are developed, and the effects of adaptation are analyzed. The future cost of damage is calculated for every climate change scenario. The effect of adaptation are analyzed and areas with a reduced risk of landslides are identified, reducing the cost of damage and adaptation costs, as well as the costs and benefits of adaptation measures. Improving soil drainage is the most effective measure among the four measures analyzed. This study can help estimate future costs of damage and analyze the effect of adaptation in creating effective adaptation plans.
C1 [Kim, Ho Gul] Cheongju Univ, Dept Human Environm Design, Major Landscape Urban Planning, Cheongju 28503, South Korea.
   [Lee, Dong Kun] Seoul Natl Univ, Res Inst Agr Life Sci, Seoul 08826, South Korea.
   [Lee, Dong Kun] Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul 08826, South Korea.
   [Park, Chan] Univ Seoul, Dept Landscape Architecture, Seoul 02504, South Korea.
C3 Cheongju University; Seoul National University (SNU); Seoul National
   University (SNU); University of Seoul
RP Kim, HG (corresponding author), Cheongju Univ, Dept Human Environm Design, Major Landscape Urban Planning, Cheongju 28503, South Korea.; Lee, DK (corresponding author), Seoul Natl Univ, Res Inst Agr Life Sci, Seoul 08826, South Korea.; Lee, DK (corresponding author), Seoul Natl Univ, Dept Landscape Architecture & Rural Syst Engn, Seoul 08826, South Korea.
EM khgghk87@gmail.com; dklee7@snu.ac.kr; chanepark@gmail.com
OI Park, chan/0000-0002-4994-6855
FU Korea Ministry of Environment (MOE) [2016000210004]; BK 21 Plus Project
   (Seoul National University Interdisciplinary Program in Landscape
   Architecture, Global Leadership Program toward Innovative Green
   Infrastructure)
FX This work was supported by Korea Ministry of Environment (MOE, Project
   No. 2016000210004) as "Public Technology Program based on Environmental
   Policy", and the BK 21 Plus Project in 2015 (Seoul National University
   Interdisciplinary Program in Landscape Architecture, Global Leadership
   Program toward Innovative Green Infrastructure).
CR [Anonymous], 2012, SPECIAL REPORT WORKI
   [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
   Ciabatta L, 2016, J HYDROL, V541, P285, DOI 10.1016/j.jhydrol.2016.02.007
   Dahal BK., 2017, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-017-0071-3, DOI 10.1186/S40677-017-0071-3]
   Fell R, 2008, ENG GEOL, V102, P85, DOI 10.1016/j.enggeo.2008.03.022
   Guzzetti F, 2005, GEOMORPHOLOGY, V72, P272, DOI 10.1016/j.geomorph.2005.06.002
   Hosseini SA, 2011, AFR J BIOTECHNOL, V10, P14108
   Jiménez-Perálvarez JD, 2018, LANDSLIDES, V15, P741, DOI 10.1007/s10346-017-0903-y
   Kee Keun Doh, 2012, [Journal of Climate Research, 기후연구], V7, P119
   Kim HG, 2015, ENVIRON EARTH SCI, V73, P1385, DOI 10.1007/s12665-014-3775-7
   박정술, 2012, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V15, P119
   Kim MS, 2015, QUATERN INT, V384, P91, DOI 10.1016/j.quaint.2015.03.057
   Klimes J, 2017, LANDSLIDES, V14, P771, DOI 10.1007/s10346-017-0798-7
   Klose M, 2015, LANDSLIDES, V12, P321, DOI 10.1007/s10346-014-0481-1
   Korea Meteorological Administration, 2011, WHIT PAP TYPH REP KO
   Lari S, 2014, ENG GEOL, V182, P3, DOI 10.1016/j.enggeo.2014.07.015
   김기흥, 2011, [Journal of the Korea Society of Environmental Restoration Technology, 한국환경복원기술학회지], V14, P33
   Mavrouli O, 2014, B ENG GEOL ENVIRON, V73, P265, DOI 10.1007/s10064-014-0573-0
   Ministry of Public Administration and Security, 2014, ANN REP DIS
   Ok J., 2011, ANAL PROPERTIES SYST
   Galve JP, 2016, ENG GEOL, V213, P142, DOI 10.1016/j.enggeo.2016.09.002
   Peduto D, 2017, LANDSLIDES, V14, P1993, DOI 10.1007/s10346-017-0826-7
   Pradhan B, 2011, INT J REMOTE SENS, V32, P4075, DOI 10.1080/01431161.2010.484433
   Regmi AD, 2013, LANDSLIDES, V10, P1, DOI 10.1007/s10346-011-0311-7
   Thuiller A. W., 2016, BIOMOD2 PACKAGE UPDA
   Wood JL, 2015, GEOMORPHOLOGY, V228, P398, DOI 10.1016/j.geomorph.2014.09.005
   연영광, 2011, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V14, P116
   Yesilnacar E, 2005, ENG GEOL, V79, P251, DOI 10.1016/j.enggeo.2005.02.002
   Yoo，Nam-Jae, 2012, [JOURNAL of THE KOREAN GEOENVIRONMENTAL SOCIETY, 한국지반환경공학회 논문집], V13, P75
   Yun Hong-Sic, 2009, [Journal of the Korean Association of Geographic Information Studies, 한국지리정보학회지], V12, P59
NR 30
TC 12
Z9 14
U1 1
U2 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD MAY
PY 2018
VL 10
IS 5
AR 1628
DI 10.3390/su10051628
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 GJ7RP
UT WOS:000435587100324
OA gold
DA 2025-01-10
ER

PT J
AU Wabnitz, CCC
   Cisneros-Montemayor, AM
   Hanich, Q
   Ota, Y
AF Wabnitz, Colette C. C.
   Cisneros-Montemayor, Andres M.
   Hanich, Quentin
   Ota, Yoshitaka
TI Ecotourism, climate change and reef fish consumption in Palau: Benefits,
   trade-offs and adaptation strategies
SO MARINE POLICY
LA English
DT Article
DE Sustainable fisheries; Diving; Subsistence; Marine protected area;
   Bio-economic; Climate change adaptation; Small-scale fisheries;
   Integrated management
ID CORAL-REEFS; DIVING IMPACTS; RECREATIONAL DIVERS; CARIBBEAN CORAL; FOOD
   SECURITY; MANAGEMENT; TOURISM; DAMAGE; BRIEFINGS; FISHERIES
AB Marine ecosystems play a central role in economic and social life in the Republic of Palau, a Small Island Developing State in the Western Pacific. Marine resources underpin subsistence and commercial fisheries, as well as tourism activities, contributing substantially to Palau's GDP and employment. Since 1992, Palau has been actively developing conservation initiatives to protect marine resources, promote ecotourism, and ensure revenue generation. Marine reserves represent a particularly important tool in the country's sustainable development strategy. In 2015, Palau designated 80% of its marine EEZ as a National Marine Sanctuary, with the remaining 20% slated for domestic fisheries. That same year, Palau received 160 thousand tourists, over 9 times the country's population. In early 2017, the President proposed a bill effectively limiting budget travel and actively promoting high-end tourism. This study uses a quantitative social-ecological model to explore policy scenarios involving tourism, marine conservation and local food security. While climate change had the largest expected impact on local ecosystems, reef fish consumption contributes considerably to future projected declines in marine resources. Therefore, for Palau to achieve its goals of boosting revenues while sustainably stewarding marine resources, it will be necessary to transfer some level of consumption from reef fish on to tuna and other pelagics. Such changes, which align with the current proposal of developing an offshore national fishery as part of the Sanctuary's management plan, may allow Palau to meet future seafood demand, while protecting reef systems and the industries that rely on them.
C1 [Wabnitz, Colette C. C.; Cisneros-Montemayor, Andres M.] Univ British Columbia, AERL, Inst Oceans & Fisheries, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada.
   [Hanich, Quentin] Univ Wollongong, ANCORS, Wollongong, NSW 2522, Australia.
   [Ota, Yoshitaka] Univ Washington, Sch Marine & Environm Affairs, Marine Studies Bldg,3707 Brooklyn Ave NE, Seattle, WA 98105 USA.
C3 University of British Columbia; University of Wollongong; University of
   Washington; University of Washington Seattle
RP Wabnitz, CCC (corresponding author), Univ British Columbia, AERL, Inst Oceans & Fisheries, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM c.wabnitz@oceans.ubc.ca; a.cisneros@oceans.ubc.ca; hanich@uow.edu.au;
   y.ota@oceans.ubc.ca
RI Hanich, Quentin/IUN-2548-2023
OI Hanich, Quentin/0000-0001-9402-6233; Wabnitz, Colette
   C.C./0000-0002-5076-9163
FU Nippon Foundation Nereus Program; University of British Columbia;
   ANCORS, University of Wollongong
FX This work was supported by the Nippon Foundation Nereus Program, a
   collaborative initiative between the Nippon Foundation and partners
   including the University of British Columbia and ANCORS, University of
   Wollongong. The funder had no part in or influence on study design,
   analysis and interpretation of data, in the writing of the manuscript or
   in the decision to submit the article for publication. We're grateful to
   L. Lafreniere for Figs. 1 and 4. We also thank Y. Ueda from The Nature
   Conservancy; I. Bertram and P. James from the Pacific Community; W.
   Swartz from the Ocean Policy Research Institute, the Sasakawa Peace
   Foundation; and P. Mumby from University of Queensland for useful
   insights and helpful suggestions; as well as the constructive comments
   from two anonymous reviewers.
CR Analytical Laboratories of Hawaii, MAPP BENTH HAB PAL P, P37
   [Anonymous], 2008, SUSTAINABILITY MANAG
   [Anonymous], 2011, VULNERABILITY TROPIC
   [Anonymous], 2011, VULNERABILITY COASTA
   [Anonymous], 2017, NATL ENV PROTECTION, P76
   [Anonymous], 2015, BUREAU BUDGET PLANNI, P177
   Anthony KRN, 2015, GLOBAL CHANGE BIOL, V21, P48, DOI 10.1111/gcb.12700
   Ash R, MARINE POLICY
   Badjeck MC, 2010, MAR POLICY, V34, P375, DOI 10.1016/j.marpol.2009.08.007
   Bank of Hawaii, EC REP, P28
   Barker NHL, 2004, BIOL CONSERV, V120, P481, DOI 10.1016/j.biocon.2004.03.021
   Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2
   Battista T. A., 2007, 59 NOAA NOS NCCOS
   Becken S, 2007, CLIM CHANG ECON SOC, P1
   Bejarano S, 2013, MAR ECOL PROG SER, V482, P197, DOI 10.3354/meps10270
   Bell J.D, MARINE POLICY
   Bell JD, 2015, MAR POLICY, V51, P584, DOI 10.1016/j.marpol.2014.10.005
   Bell JD, 2013, NAT CLIM CHANGE, V3, P591, DOI 10.1038/NCLIMATE1838
   Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002
   Bruno JF, 2001, CORAL REEFS, V20, P127, DOI 10.1007/s003380100151
   Bureau of Budget and Planning Ministry of Finance, 2013, 2013 STAT YB, P83
   Bureau of Oceanic Fishery Management, 2015, ANN REP W CENTR FI 1, P9
   Bureau of Tourism, 2016, PAL RESP TOUR POL FR
   Burns W., 2000, Climate Change in the South Pacific, P233
   Camp E, 2012, OCEAN COAST MANAGE, V61, P30, DOI 10.1016/j.ocecoaman.2012.02.002
   Carilli JE, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0006324
   Carpenter KE, 2008, SCIENCE, V321, P560, DOI 10.1126/science.1159196
   Carucci J., 1992, Cultural and Natural Patterning in Prehistoric Marine Foodshell from Palau, Micronesia
   Chavarro SB, 2014, ANIM CONSERV, V17, P133, DOI 10.1111/acv.12066
   Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x
   Chung SS, 2013, ENVIRON MANAGE, V51, P824, DOI 10.1007/s00267-013-0023-y
   Cinner J, 2014, CURR OPIN ENV SUST, V7, P65, DOI 10.1016/j.cosust.2013.11.025
   Cisneros-Montemayor A.M., 2010, Journal of Bioeconomics, V12, P245
   Cisneros-Montemayor AM, 2013, ORYX, V47, P381, DOI 10.1017/S0030605312001718
   Craig-Smith SJ, 2005, CONTEMP GEOGR LEIS T, P107
   Davis D, 1996, J ENVIRON MANAGE, V48, P229, DOI 10.1006/jema.1996.0075
   Daw TM, 2015, P NATL ACAD SCI USA, V112, P6949, DOI 10.1073/pnas.1414900112
   Dodds R., 2012, Sustainable tourism in island destinations
   Donohoe H. M., 2006, Journal of Ecotourism, V5, P192, DOI 10.2167/joe152.0
   Fabricius KE, 2005, MAR POLLUT BULL, V50, P125, DOI 10.1016/j.marpolbul.2004.11.028
   FAO, 2016, FOOD BAL SHEET FISH
   Fennell D. A., 2001, Current Issues in Tourism, V4, P403, DOI 10.1080/13683500108667896
   Fitzpatrick SM, 2011, ARCHAEOL OCEAN, V46, P6, DOI 10.1002/j.1834-4453.2011.tb00094.x
   Ford AK, 2016, AQUAT CONSERV, V26, P790, DOI 10.1002/aqc.2623
   Friedman K., 2009, PALAU COUNTRY REPORT, P411
   Gill DA, 2015, ECOL ECON, V111, P48, DOI 10.1016/j.ecolecon.2015.01.004
   Gillett R., 2016, FISHERIES EC PACIFIC, P688
   Gleason M., 2014, TRIP REPORT JA UNPUB
   Golbuu Y, 2007, CORAL REEFS, V26, P319, DOI 10.1007/s00338-007-0200-7
   Golbuu Y, 2003, ESTUAR COAST SHELF S, V57, P941, DOI 10.1016/S0272-7714(02)00424-9
   Golbuu Y., 2011, SPATIAL VARIABILITY, P15
   Golbuu Y, 2016, CORAL REEFS, V35, P909, DOI 10.1007/s00338-016-1457-5
   Golbuu Y, 2011, MAR POLLUT BULL, V62, P824, DOI 10.1016/j.marpolbul.2010.12.015
   Golbuu Yimnang, 2005, NOAA Technical Memorandum NOS NCCOS, V11, P488
   Gouezo M, 2015, MAR ECOL PROG SER, V540, P73, DOI 10.3354/meps11518
   Graham T, 1998, OCEAN COAST MANAGE, V40, P143, DOI 10.1016/S0964-5691(98)00045-3
   Graham T., 2001, Coral Bleaching; Causes, Consequences and Response, P59
   Guzner B, 2010, B MAR SCI, V86, P727
   Hall CM, 2001, OCEAN COAST MANAGE, V44, P601, DOI 10.1016/S0964-5691(01)00071-0
   Harborne A. R., 2016, NATURE CONSERVANCYS, P80
   Hasler H, 2008, MAR POLLUT BULL, V56, P1788, DOI 10.1016/j.marpolbul.2008.06.002
   HAWKINS JP, 1993, J APPL ECOL, V30, P25, DOI 10.2307/2404267
   Hawkins JP, 1999, CONSERV BIOL, V13, P888, DOI 10.1046/j.1523-1739.1999.97447.x
   Hazell LC, 2006, ARCHAEOL OCEAN, V41, P12, DOI 10.1002/j.1834-4453.2006.tb00601.x
   Honey Martha., 1999, ECOTOURISM SUSTAINAB
   Houk P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0130823
   IMF, 16328 IMF COUNTR, P52
   International Monetary Fund, REP OF PAL, P27
   Johannes R.E., 1981, Words of the lagoon: fishing and marine lore in the Palau District of Micronesia
   Kitalong A., 1994, PRELIMINARY ASSESSME, P37
   Koike H., 1402 PICRC, P16
   Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003
   Koror State Government, 2012, ROCK ISL SO LAG MAN, P96
   Krieger JR, 2013, J COAST CONSERV, V17, P179, DOI 10.1007/s11852-012-0229-9
   Lamb JB, 2014, BIOL CONSERV, V178, P88, DOI 10.1016/j.biocon.2014.06.027
   Lehodey P., 2011, Vulnerability of tropical Pacific fisheries and aquaculture to climate change, P433
   Luna B, 2009, ICES J MAR SCI, V66, P517, DOI 10.1093/icesjms/fsp020
   Maragos JE, 1995, CORAL REEFS, V14, P237
   Marshall P., 2013, CORAL REEFS CLIMATE, P223
   Marshell A, 2015, J EXP MAR BIOL ECOL, V473, P152, DOI 10.1016/j.jembe.2015.09.002
   Martell S, 2013, FISH FISH, V14, P504, DOI 10.1111/j.1467-2979.2012.00485.x
   Medio D, 1997, BIOL CONSERV, V79, P91, DOI 10.1016/S0006-3207(96)00074-2
   Mee JA, 2017, EVOL APPL, V10, P444, DOI 10.1111/eva.12460
   Moore B., 2014, CREEL SURVEY DEMOGRA, P48
   Mumby PJ, 2016, OIKOS, V125, P644, DOI 10.1111/oik.02673
   Mumby PJ, 2006, SCIENCE, V311, P98, DOI 10.1126/science.1121129
   Musa G., 2002, Tourism Geographies, V4, P195, DOI 10.1080/14616680210124927
   [Nakicenovic N. IPCC IPCC], 2000, EMISSIONS SCENARIOS, P570
   Ota Y., 2006, Custom and fishing: Cultural meaning and social relations of Pacific fishing, Republic of Palau, Micronesia
   Otto E. I., 2015, 1615 PICRC
   Palau Conservation Society, 2000, PROF PAL INSH FISH 1
   Palau government Census of Population, 2015, HOUS AGR
   PENDLETON LH, 1994, COAST MANAGE, V22, P399, DOI 10.1080/08920759409362246
   Plush H., 2017, TELEGRAPH
   Poonian C, 2010, PAC SCI, V64, P557, DOI 10.2984/64.4.557
   Preston G., 2000, MANAGING THE OCEAN
   Prince J, 2015, FISH RES, V171, P42, DOI 10.1016/j.fishres.2015.06.008
   Remengesau T., 2014, HLTH OCEANS SEAS WAY, P4
   Remengesau T., 2017, BILL PROMOTE DEV HIG, P8
   Rijnsdorp AD, 2009, ICES J MAR SCI, V66, P1570, DOI 10.1093/icesjms/fsp056
   Roche R. C., 2016, ENVIRON MANAGE, P1
   Rodgers KS, 2003, BIOL CONSERV, V112, P383, DOI 10.1016/S0006-3207(02)00336-1
   Rouphael AB, 1997, BIOL CONSERV, V82, P329, DOI 10.1016/S0006-3207(97)00047-5
   Saphier AD, 2005, MAR POLLUT BULL, V51, P590, DOI 10.1016/j.marpolbul.2005.02.033
   Schleyer MH, 2000, B MAR SCI, V67, P1025
   Scura L. F., 1993, EC FEASIBILITY ECOLO
   Teh LCL, 2013, FISH FISH, V14, P77, DOI 10.1111/j.1467-2979.2011.00450.x
   Topelko Karen N., 2005, Journal of Ecotourism, V4, P108, DOI 10.1080/14724040409480343
   Townsel A., 2016, ECOTOURISM ECOTOUR I
   van Woesik R, 2011, MAR ECOL PROG SER, V434, P67, DOI 10.3354/meps09203
   van Woesik R, 2012, ECOL EVOL, V2, P2474, DOI 10.1002/ece3.363
   Vianna G., 2010, RELATIVE VALUE REEF, P41
   Vianna GMS, 2012, BIOL CONSERV, V145, P267, DOI 10.1016/j.biocon.2011.11.022
   Vianna GMS, 2016, CORAL REEFS, V35, P973, DOI 10.1007/s00338-016-1437-9
   Victor S., 2004, Wetlands Ecology and Management, V12, P277, DOI 10.1007/s11273-005-8319-1
   Walters RDM, 2001, BIODIVERS CONSERV, V10, P2167, DOI 10.1023/A:1013197926580
   Wielgus J, 2002, CORAL REEFS, V21, P253, DOI 10.1007/s00338-002-0243-8
   Wolff NH, 2015, GLOBAL CHANGE BIOL, V21, P3982, DOI 10.1111/gcb.13015
   Wongthong P, 2014, OCEAN COAST MANAGE, V95, P138, DOI 10.1016/j.ocecoaman.2014.04.004
   Worachananant S, 2008, J SUSTAIN TOUR, V16, P645, DOI 10.1080/09669580802159677
   Yukihira Hideki, 2007, P10
   Zakai D, 2002, BIOL CONSERV, V105, P179, DOI 10.1016/S0006-3207(01)00181-1
NR 122
TC 51
Z9 56
U1 2
U2 129
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0308-597X
EI 1872-9460
J9 MAR POLICY
JI Mar. Pol.
PD FEB
PY 2018
VL 88
BP 323
EP 332
DI 10.1016/j.marpol.2017.07.022
PG 10
WC Environmental Studies; International Relations
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; International Relations
GA FW0DJ
UT WOS:000424961300037
DA 2025-01-10
ER

PT J
AU Petit-Boix, A
   Arahuetes, A
   Josa, A
   Rieradevall, J
   Gabarrell, X
AF Petit-Boix, Anna
   Arahuetes, Ana
   Josa, Alejandro
   Rieradevall, Joan
   Gabarrell, Xavier
TI Are we preventing flood damage eco-efficiently? An integrated method
   applied to post-disaster emergency actions
SO SCIENCE OF THE TOTAL ENVIRONMENT
LA English
DT Article
DE Risk management; Life cycle assessment; Life cycle costing; Damage
   prevention; Climate change
ID LIFE-CYCLE ASSESSMENT; RISK-ASSESSMENT
AB Flood damage results in economic and environmental losses in the society, but flood prevention also entails an initial investment in infrastructure. This study presents an integrated eco-efficiency approach for assessing flood prevention and avoided damage. We focused on ephemeral streams in the Maresme region (Catalonia, Spain), which is an urbanized area affected by damaging torrential events. Our goal was to determine the feasibility of post-disaster emergency actions implemented after a major event through an integrated hydrologic, environmental and economic approach. Life cycle assessment (LCA) and costing (LCC) were used to determine the eco-efficiency of these actions, and their net impact and payback were calculated by integrating avoided flood damage. Results showed that the actions effectively reduced damage generation when compared to the registered water flows and rainfall intensities. The eco-efficiency of the emergency actions resulted in 1.2 kg CO2 eq. per invested euro. When integrating the avoided damage into the initial investment, negative net impacts were obtained (e.g., -5.2E + 05 (sic)) and -2.9E + 04 kg CO2 eq. per event), which suggests that these interventions contributed with environmental and economic benefits to the society. The economic investment was recovered in two years, whereas the design could be improved to reduce their environmental footprint, which is recovered ih 25 years. Our method and results highlight the effects of integrating the environmental and economic consequences of decisions at an urban scale and might help the administration and insurance companies in the design of prevention plans and climate change adaptation. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Petit-Boix, Anna; Rieradevall, Joan; Gabarrell, Xavier] UAB, Inst Environm Sci & Technol, Sostenipra,ICTA,IRTA,Inedit SGR1412 2014, ICTA,Unidad Excelencia Maria Maeztu,MDM 2015 0552, Edifici ICTA ICP, Barcelona 08193, Spain.
   [Arahuetes, Ana] Univ Alicante, Interuniv Inst Geog, Edificio Inst Univ,Apartado Correos 99, E-03080 Alicante, Spain.
   [Josa, Alejandro] UPC, UPC Camins BarcelonaTECH, Sch Civil Engn, Dept Civil & Environm Engn, Jordi Girona 1-3,Bldg D2, Barcelona, Spain.
   [Josa, Alejandro] Univ Politecn Cataluna, Inst Sustainabil IS UPC, BarcelonaTech, Jordi Girona 31, Barcelona, Spain.
   [Rieradevall, Joan; Gabarrell, Xavier] UAB, Sch Engn ETSE, Xarxa Referenda Biotecnol XRB, Dept Chem Biol & Environm Engn, Campus UAB, Barcelona 08193, Catalonia, Spain.
C3 Autonomous University of Barcelona; IRTA; Universitat d'Alacant;
   Universitat Politecnica de Catalunya; Universitat Politecnica de
   Catalunya; Autonomous University of Barcelona
RP Petit-Boix, A (corresponding author), UAB, Inst Environm Sci & Technol, Sostenipra,ICTA,IRTA,Inedit SGR1412 2014, ICTA,Unidad Excelencia Maria Maeztu,MDM 2015 0552, Edifici ICTA ICP, Barcelona 08193, Spain.
EM anna.petit@uab.cat
RI Rieradevall, Joan/AAB-6993-2022; Boix, Anna/AAM-2875-2020; Petit Boix,
   Anna/I-6525-2015; Josa, Alejandro/E-7417-2016; Gabarrell Durany,
   Xavier/F-5575-2011
OI Rieradevall Pons, Joan/0000-0003-3360-6829; Arahuetes,
   Ana/0000-0002-7332-8758; Petit Boix, Anna/0000-0003-2048-2708; Josa,
   Alejandro/0000-0003-1180-7910; Gabarrell Durany,
   Xavier/0000-0003-1730-4337
FU Spanish Ministry of Education for the grant awarded [FPU13/01273];
   Catalan Government for the SGR funds [2014 SGR 1412]; Spanish Ministry
   of Economy and Finance and her mobility grant [EEBB-I-15-10197]; 
   [FPI2013-066273];  [CS02012-36997CO2-02]
FX We wish to thank the Catalan Water Agency and the Insurance Compensation
   Consortium for supporting and providing data, especially Alfonso Najera.
   We thank Dr. Jorge Olcina and Dr. David Sauri for their valuable advice
   in the field of flood management. We would also like to thank the
   Spanish Ministry of Education for the grant awarded to A. Petit-Boix
   (FPU13/01273) to conduct this research, and the Catalan Government for
   the SGR funds (2014 SGR 1412), as well as the grant awarded to A.
   Arahuetes (FPI2013-066273/project CS02012-36997CO2-02) by the Spanish
   Ministry of Economy and Finance and her mobility grant
   (EEBB-I-15-10197).
CR [Anonymous], 2017, ISO 15686-5: 2017, ISO 15686-5: 2017
   [Anonymous], 2012, World Urbanization Prospects, the 2011 Revision
   [Anonymous], 2009, Environmental Management, Life Cycle Assessment, Principles and Structure
   [Anonymous], 2000, SERIE GEOGRAFICA
   [Anonymous], 2009, EM DAT INT DISASTER
   [Anonymous], 2015, WORLD EC OUTL DAT
   Aparicio F., 1999, Fundamentos de Hidrologa de Superficie
   Barbosa AE, 2012, WATER RES, V46, P6787, DOI 10.1016/j.watres.2012.05.029
   Barrera A, 2006, NAT HAZARD EARTH SYS, V6, P505, DOI 10.5194/nhess-6-505-2006
   Belmonte AMC, 2001, CATENA, V45, P229, DOI 10.1016/S0341-8162(01)00146-1
   Brouwer R, 2004, ECOL ECON, V50, P1, DOI 10.1016/j.ecolecon.2004.01.020
   Catalan Water Agency, 2003, TECHN REC FLOOD STUD
   Catalan Water Agency, 2016, DAT CONS
   CYPE Ingenieros, 2015, CONSTR COSTS GEN
   Flynn KM, 2013, ECOL ENG, V55, P9, DOI 10.1016/j.ecoleng.2013.01.004
   Goedkoop M., 2009, LIFE CYCLE IMPACT AS, P1
   Haynes H, 2008, WATER ENVIRON J, V22, P117, DOI 10.1111/j.1747-6593.2007.00086.x
   Hischier R., 2010, Implementation of life cycle impact assessment methods
   Huppes G, 2005, J IND ECOL, V9, P43, DOI 10.1162/108819805775247891
   ICGC. Institut Cartografic i Geologic de Catalunya, 2016, CART GEOD
   Idescat. Statistical Institute of Catalonia, 2016, MUN DAT
   INE. Spanish Statistical Office, 2015, SPAN NAT ACC 2010
   INE. Spanish Statistical Office, 2014, AIR EM ACC 2008 2012
   Insurance Compensation Consortium (Consorcio de Compensacion de Seguros), 2015, EXTR RISKS SER 1971
   ISO, 2012, 140452012 ISO
   Jonkman SN, 2008, ECOL ECON, V66, P77, DOI 10.1016/j.ecolecon.2007.12.022
   Junta d'Aigues, 1992, MASTER PLAN FLOOD PR
   Kosareo L, 2007, BUILD ENVIRON, V42, P2606, DOI 10.1016/j.buildenv.2006.06.019
   Kubal C, 2009, NAT HAZARD EARTH SYS, V9, P1881, DOI 10.5194/nhess-9-1881-2009
   MetaBase ITeC, 2010, ONL ITEC DAT PRIC TE
   Olcina J., 1994, TORMENTAS GRANIZADAS
   Petit-Boix A, 2016, WATER RESOUR MANAG, V30, P1117, DOI 10.1007/s11269-015-1214-5
   Petit-Boix A, 2015, ECOL ENG, V84, P194, DOI 10.1016/j.ecoleng.2015.09.010
   PRe Consultants, 2014, SIMAPRO 8 0 4
   RuralCat, 2016, AGR DAT CABR
   San Millan J, 2008, ESTUDI INUNDABILITAT
   SANJUANDELMAS D, 2014, Patent No. 201310055
   Spanish Ministry of Development, 1999, MAX DAIL RAINF PEN S
   Tarruella X., 2010, MUNICIPAL URBAN PLAN
   Temez J., 1991, P 24 C MADR SPAIN, VA
   Weidema BP, 2013, Overv Method: Data Qual Guidel ecoinvent Database Version 3
   Zhou Q, 2012, J HYDROL, V414, P539, DOI 10.1016/j.jhydrol.2011.11.031
NR 42
TC 20
Z9 23
U1 2
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 15
PY 2017
VL 580
BP 873
EP 881
DI 10.1016/j.scitotenv.2016.12.034
PG 9
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA EM5LS
UT WOS:000395353600085
PM 27986313
OA Green Submitted, Green Accepted
DA 2025-01-10
ER

PT J
AU Rodriguez-Lloveras, X
   Buytaert, W
   Benito, G
AF Rodriguez-Lloveras, Xavier
   Buytaert, Wouter
   Benito, Gerardo
TI Land use can offset climate change induced increases in erosion in
   Mediterranean watersheds
SO CATENA
LA English
DT Article
DE Downscaling; Climate change adaptation; Land use; Erosion; TETIS
ID ENVIRONMENTAL-MODEL HADGEM1; LAST GLACIAL MAXIMUM; SEDIMENT YIELD;
   SOIL-EROSION; PHYSICAL-PROPERTIES; OCEAN CIRCULATION; PART II;
   ATMOSPHERE; VARIABILITY; SIMULATION
AB The aim of this paper is to assess the impacts of projected climate change on a Mediterranean catchment, and to analyze the effects of a suite of representative land use practices as an adaptation tool to reduce climate change driven erosion and hydrologic extremes. Relevant climatic variables from the ERA-Interim global atmospheric re-analysis of the European Centre for Medium-Range Weather Forecasts (ECMWF) were downscaled for the study area, and perturbed with the anomalies of 23 global circulation models for three emission scenarios (B1, A1B and A2). Both a projected daily rainfall time series for the period 2010-2100, and a single precipitation event with a one-hundred year return period were used to assess the impact of climate change. The downscaled data were fed into a distributed hydro-sedimentary model (TETIS) with five land use configurations representative of future demographic tendencies, geographical characteristics and land management policies (e.g. European Union CAP). The projected changes showed a general decrease in runoff and sediment production by the end of the century regardless of land use configuration. Sediment production showed a positive relationship with an increase in agricultural land and a decrease in natural land under present day agricultural management. According to our simulations, some conservation practices in agriculture can effectively reduce net erosion while maintaining agricultural production. As such, they can play a critical role as an adaptation tool to reduce climate change impacts in the 21st century. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Rodriguez-Lloveras, Xavier; Benito, Gerardo] MNCN CSIC, Dept Geol, Natl Museum Nat Sci, C Serrano 115 Dupl, Madrid 28006, Spain.
   [Buytaert, Wouter] Univ London Imperial Coll Sci Technol & Med, Fac Engn, Dept Civil & Environm Engn, Skempton Bldg,South Kensington Campus,Exhibit Rd, London SW7 2AZ, England.
C3 Consejo Superior de Investigaciones Cientificas (CSIC); Imperial College
   London
RP Rodriguez-Lloveras, X (corresponding author), MNCN CSIC, Dept Geol, Natl Museum Nat Sci, C Serrano 115 Dupl, Madrid 28006, Spain.
EM xavier@rodriguez-lloveras.com.es
RI Buytaert, Wouter/D-9912-2011; Rodriguez-Lloveras, Xavier/G-5205-2015;
   Benito, Gerardo/E-5456-2013
OI Rodriguez-Lloveras, Xavier/0000-0001-5047-7366; Benito,
   Gerardo/0000-0003-0724-1790
FU Spanish Ministry of Economy and Competitiveness [CGL2011-29176,
   CGL2014-58127-C3-1-R]
FX This study was funded by the Spanish Ministry of Economy and
   Competitiveness through the research projects CLARIES (ref.
   CGL2011-29176) and PALEOMED (CGL2014-58127-C3-1-R). Meteorological data
   was provided by the Spanish Meteorological Agency (AEMET).
CR [Anonymous], COMM AGR STOR CONT
   [Anonymous], POBL PROY ZON TRAB S
   [Anonymous], REV GEOGRAFIA
   [Anonymous], 2014, ARS CLIM CHANG 2014
   [Anonymous], 2002, CSIRO MK3 CLIMATE SY
   [Anonymous], 2012, COMM AGR POL PARTN E, DOI DOI 10.2762/3110
   [Anonymous], POL AGR NEW DIR COMM
   [Anonymous], MAX ILLUV DIAR ESP P
   [Anonymous], 2013, EEA Report No 8/2013, P1
   [Anonymous], K 1 COUPLED MODEL MI
   [Anonymous], 2008, Empiricalstatistical downscaling
   [Anonymous], 1997, EDUCACION SOCIAL EJE
   [Anonymous], 2003, ATMOSPHERIC GEN CIRC
   [Anonymous], 1967, TEKN FORLAG
   [Anonymous], CLIVAR EXCH
   [Anonymous], 1999, Geophysics at the Turn of the Century, Selected Works of Scientists of the OIPE RAS
   [Anonymous], INTR FIST GEN OP CLI
   [Anonymous], CONS MED AMB
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   Baartman JEM, 2013, CATENA, V109, P25, DOI 10.1016/j.catena.2013.05.003
   Benito G, 2010, GLOBAL PLANET CHANGE, V70, P53, DOI 10.1016/j.gloplacha.2009.11.007
   Benito G, 2015, SCI REP-UK, V5, DOI 10.1038/srep16398
   Boardman J, 1998, NATO ASI SER SER I, V55, P3
   Boellstorff D, 2005, AGR ECOSYST ENVIRON, V107, P231, DOI 10.1016/j.agee.2004.11.002
   Bussi G, 2013, HYDROL EARTH SYST SC, V17, P3339, DOI 10.5194/hess-17-3339-2013
   Bussi G, 2014, J SOIL SEDIMENT, V14, P1921, DOI 10.1007/s11368-014-0956-7
   Bussi G, 2014, ENVIRON MODELL SOFTW, V58, P58, DOI 10.1016/j.envsoft.2014.04.010
   Capel Molina J.J, 1974, CUADERNOS GEOGRAFICO, V4, P149
   Cerdan O, 2010, GEOMORPHOLOGY, V122, P167, DOI 10.1016/j.geomorph.2010.06.011
   Chandler RE, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000906
   Christensen JH, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P847
   Clarke ML, 2010, EARTH SURF PROC LAND, V35, P1281, DOI 10.1002/esp.1967
   Collins WD, 2006, J CLIMATE, V19, P2122, DOI 10.1175/JCLI3761.1
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Delworth TL, 2006, J CLIMATE, V19, P643, DOI 10.1175/JCLI3629.1
   DEQUE M, 1994, CLIM DYNAM, V10, P249, DOI 10.1007/BF00208992
   Diansky NA, 2002, IZV ATMOS OCEAN PHY+, V38, P732
   Diansky NA, 2002, IZV ATMOS OCEAN PHY+, V38, P477
   Döll P, 2015, HYDROLOG SCI J, V60, P4, DOI 10.1080/02626667.2014.967250
   Etoh T., 1987, HYDROLOGIC FREQUENCY, P253
   Flato GM, 2001, GEOPHYS RES LETT, V28, P195, DOI 10.1029/2000GL012121
   Francés F, 2007, J HYDROL, V332, P226, DOI 10.1016/j.jhydrol.2006.06.032
   Furevik T, 2003, CLIM DYNAM, V21, P27, DOI 10.1007/s00382-003-0317-5
   García JA, 2007, J CLIMATE, V20, P113, DOI 10.1175/JCLI3995.1
   García-Ruiz JM, 2011, AGR ECOSYST ENVIRON, V140, P317, DOI 10.1016/j.agee.2011.01.003
   García-Ruiz JM, 2010, CATENA, V81, P1, DOI 10.1016/j.catena.2010.01.001
   Gibelin AL, 2003, CLIM DYNAM, V20, P327, DOI 10.1007/s00382-002-0277-1
   Gnanadesikan A, 2006, J CLIMATE, V19, P675, DOI 10.1175/JCLI3630.1
   Gobin A, 2004, ENVIRON SCI POLICY, V7, P25, DOI 10.1016/j.envsci.2003.09.004
   Gonzalez-Hidalgo JC, 2009, INT J CLIMATOL, V29, P1415, DOI 10.1002/joc.1780
   Hertig E, 2008, INT J CLIMATOL, V28, P1025, DOI 10.1002/joc.1597
   Hourdin F, 2006, CLIM DYNAM, V27, P787, DOI 10.1007/s00382-006-0158-0
   Cisneros BEJ, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P229
   Johns TC, 2006, J CLIMATE, V19, P1327, DOI 10.1175/JCLI3712.1
   Johns TC, 2003, CLIM DYNAM, V20, P583, DOI 10.1007/s00382-002-0296-y
   Julien PY, 2010, Erosion and sedimentation, DOI DOI 10.1017/CBO9780511806049
   Jungclaus JH, 2006, J CLIMATE, V19, P3952, DOI 10.1175/JCLI3827.1
   Kim SJ, 2003, CLIM DYNAM, V20, P635, DOI 10.1007/s00382-002-0292-2
   Kim SJ, 2002, CLIM DYNAM, V19, P515, DOI 10.1007/s00382-002-0243-y
   Kundzewicz ZW, 2014, HYDROLOG SCI J, V59, P1, DOI 10.1080/02626667.2013.857411
   Legutke S., 1999, HAMBURG ATMOSPHERE O
   Martin GM, 2006, J CLIMATE, V19, P1274, DOI 10.1175/JCLI3636.1
   Michael A, 2005, CATENA, V61, P155, DOI 10.1016/j.catena.2005.03.002
   Barranco LM, 2014, J HYDROL ENG, V19, P1481, DOI 10.1061/(ASCE)HE.1943-5584.0000920
   Muñoz-Díaz D, 2006, ATMOS RES, V81, P94, DOI 10.1016/j.atmosres.2005.11.005
   Nakicenvoic N., 2000, Special report on emissions scenarios: A special report of working group iii of the intergovernmental panel on climate change
   Nerantzaki SD, 2015, SCI TOTAL ENVIRON, V538, P288, DOI 10.1016/j.scitotenv.2015.07.092
   Nunes JP, 2013, CATENA, V102, P27, DOI 10.1016/j.catena.2011.04.001
   PEREZ MR, 1990, LANDSCAPE URBAN PLAN, V18, P211, DOI 10.1016/0169-2046(90)90007-O
   Pope VD, 2000, CLIM DYNAM, V16, P123, DOI 10.1007/s003820050009
   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]
   Puigdefabregas J, 1998, J ARID ENVIRON, V39, P209, DOI 10.1006/jare.1998.0401
   Puigdefabregas J, 1999, EARTH-SCI REV, V48, P39, DOI 10.1016/S0012-8252(99)00046-X
   Seguí PQ, 2010, J HYDROL, V383, P111, DOI 10.1016/j.jhydrol.2009.09.050
   Ringer MA, 2006, J CLIMATE, V19, P1302, DOI 10.1175/JCLI3713.1
   Rodrigo FS, 2010, INT J CLIMATOL, V30, P1512, DOI 10.1002/joc.1987
   Rodriguez-Lloveras X, 2015, J HYDROL, V531, P1054, DOI 10.1016/j.jhydrol.2015.11.014
   Russell GL, 1995, ATMOS OCEAN, V33, P683, DOI 10.1080/07055900.1995.9649550
   Schmidt GA, 2006, J CLIMATE, V19, P153, DOI 10.1175/JCLI3612.1
   Stouffer RJ, 2006, J CLIMATE, V19, P723, DOI 10.1175/JCLI3632.1
   Vélez JJ, 2009, HYDROL EARTH SYST SC, V13, P229, DOI 10.5194/hess-13-229-2009
   Washington WM, 2000, CLIM DYNAM, V16, P755, DOI 10.1007/s003820000079
   Wittenberg AT, 2006, J CLIMATE, V19, P698, DOI 10.1175/JCLI3631.1
   Xoplaki E, 2004, CLIM DYNAM, V23, P63, DOI 10.1007/s00382-004-0422-0
   Yan Z, 2006, THEOR APPL CLIMATOL, V83, P121, DOI 10.1007/s00704-005-0156-x
   Yan ZW, 2002, J CLIMATE, V15, P2073, DOI 10.1175/1520-0442(2002)015<2073:AAODMW>2.0.CO;2
   Yang C, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003739
   Yu YQ, 2002, ADV ATMOS SCI, V19, P169
   Yu YQ, 2004, ADV ATMOS SCI, V21, P444
   Yukimoto S., 2002, Improvements of the Meteorological Research Institute Global Ocean-atmosphere Coupled GCM (MRI-CGCM2) and Its Climate Sensitivity, P37
   Yukimoto S., 2001, Papers in Meteorological and Geophysics, V51, P47
   Yukimoto S, 2006, J METEOROL SOC JPN, V84, P333, DOI 10.2151/jmsj.84.333
NR 92
TC 37
Z9 38
U1 2
U2 57
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
J9 CATENA
JI Catena
PD AUG
PY 2016
VL 143
BP 244
EP 255
DI 10.1016/j.catena.2016.04.012
PG 12
WC Geosciences, Multidisciplinary; Soil Science; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Agriculture; Water Resources
GA DN1BI
UT WOS:000376800800026
DA 2025-01-10
ER

PT J
AU Fawcett, W
   Urquijo, IR
   Krieg, H
   Hughes, M
   Mikalsen, L
   Gutiérrez, ORR
AF Fawcett, William
   Robles Urquijo, Ignacio
   Krieg, Hannes
   Hughes, Martin
   Mikalsen, Lars
   Ramos Gutierrez, Oscar Ramon
TI Cost and Environmental Evaluation of Flexible Strategies for a Highway
   Construction Project under Traffic Growth Uncertainty
SO JOURNAL OF INFRASTRUCTURE SYSTEMS
LA English
DT Article
DE Highway design; Highway construction; Real options; Flexibility;
   Adaptation; Life-cycle costing; Life-cycle assessment; Monte Carlo
   simulation
ID REAL OPTIONS; FLEXIBILITY
AB Uncertainty about the scale of future demand presents a challenge for infrastructure design. The attraction of flexible strategies, incorporating upgrade options that can be exercised when and if required, has been recognized for a long time. The techniques of real options allowed the benefits of flexible strategies to be quantified for the first time. A new and simplified methodology for real options analysis has been developed and implemented in software. It performs evaluation in both cost and environmental impact terms. A case study of a real highway in Spain was evaluated using the new methodology and software. Seven alternative strategies for the roadway (subgrade, base course, and surface course) were evaluated, six with upgrade options that are exercised if the traffic demand crosses specified thresholds. The rate of traffic growth, and also the discount rate for financial evaluation, were treated as uncertain variables. The highway was designed when the Spanish economy was growing strongly and a high roadway specification performed best. Before the highway was built the economy crashed and construction was canceled. Recalculation for the posteconomic shock conditions with lower traffic growth and a higher interest rate favored a lower highway specification with upgrade options. Sensitivity analysis shows how the specification choice varies with the values taken by the uncertain variables. A novel specification was proposed to maximize flexibility when there is high uncertainty about traffic growth, and evaluation showed that it performed better in many conditions. The methodology of evaluating flexible strategies could be used in many applications, including infrastructure for climate change adaptation.
C1 [Fawcett, William] Cambridge Architectural Res Ltd, Cambridge CB1 2LG, England.
   [Robles Urquijo, Ignacio] APIA XXI, Dept R&D & Transport Econ, Santander 39011, Spain.
   [Krieg, Hannes] Univ Stuttgart, Dept Life Cycle Engn, Dept Bldg Phys, D-70563 Stuttgart, Germany.
   [Hughes, Martin] Cambridge Architectural Res Ltd, Cambridge CB1 2LG, England.
   [Mikalsen, Lars] Holte AS, N-0212 Oslo, Norway.
   [Ramos Gutierrez, Oscar Ramon] Univ Cantabria, Dept Struct & Mech Engn, Santander 39011, Spain.
   [Ramos Gutierrez, Oscar Ramon] APIA XXI, Santander, Spain.
C3 University of Stuttgart; Universidad de Cantabria
RP Fawcett, W (corresponding author), Cambridge Architectural Res Ltd, 25 Gwydir St 6, Cambridge CB1 2LG, England.
EM william.fawcett@carltd.com
RI Robles Urquijo, Ignacio/IWV-3022-2023
OI Robles Urquijo, Ignacio/0000-0001-6477-2147
FU European Community [229061]
FX The case study was carried out as part of the collaborative CILECCTA
   project funded by the European Community's Program FP7/2007-2013 for
   Research, Technological Development and Demonstration Activities, under
   EC Grant Agreement no. 229061. The project duration was 2009-2013. The
   full project name is A User-Oriented Knowledge-Based Suite of
   Construction Industry Life Cycle Cost and Assessment Software for
   Pan-European Determination and Costing of Sustainable Projects. See
   www.cileccta.eu. The case study data was provided by APIA XXI, an
   engineering company based in Santander, Spain, and a participant in the
   CILECCTA project. See www.apiaxxi.es
CR Amram M., 1999, REAL OPTIONS
   Barry E. M., 1881, COMMUNICATION
   BLACK F, 1973, J POLIT ECON, V81, P637, DOI 10.1086/260062
   Chiara N, 2007, J INFRASTRUCT SYST, V13, P97, DOI 10.1061/(ASCE)1076-0342(2007)13:2(97)
   COPELAND T.V. ANTIKAROV., 2001, REAL OPTIONS PRACTIT
   Damnjanovic I, 2008, CONSTR MANAG ECON, V26, P979, DOI 10.1080/01446190802272707
   de Neufville R, 2006, J INFRASTRUCT SYST, V12, P107, DOI 10.1061/(ASCE)1076-0342(2006)12:2(107)
   DeNeufville R, 2011, ENG SYST, P1
   Ellingham Ian, 2006, NEW GENERATION WHOLE
   European Commission, 2008, GUIDE COST BENEFIT A
   Fawcett W., 2001, WHOLE LIFE PERFORMAN
   Fawcett W, 2012, BUILD RES INF, V40, P545, DOI 10.1080/09613218.2012.702565
   Frey R. L., 1988, ENCY AM BUSINESS HIS
   ISO, 2011, 14045 ISODIS
   Konig H., 2010, A life cycle approach to buildings: principles, calculations, design tools
   Krieg H, 2013, GREEN DESIGN, MATERIALS AND MANUFACTURING PROCESSES, P675
   KULATILAKA N, 1993, FINANC MANAGE, V22, P271, DOI 10.2307/3665944
   Leung B.Y.P., 2002, J PROPERTY INVESTMEN, V20, P473, DOI [10.1108/14635780210446487, DOI 10.1108/14635780210446487]
   Longstaff FA, 2001, REV FINANC STUD, V14, P113, DOI 10.1093/rfs/14.1.113
   MUN J., 2006, REAL OPTIONS ANAL, V2nd
   Schafer A, 1998, TRANSPORT RES A-POL, V32, P455, DOI 10.1016/S0965-8564(98)00004-4
   TRIGEORGIS L, 1993, FINANC MANAGE, V22, P202, DOI 10.2307/3665939
   United Kingdom Treasury, 2009, ACC EFF CLIM CHANG
   Zhao T., 2003, J INFRASTRUCT SYST, V9, P89, DOI DOI 10.1061/(ASCE)1076-0342(2003)9:3(89)
   Zhao T., 2004, J INFRASTRUCT SYST, DOI [10.1061/(ASCE)1076-0342(2004)10:1(23),23-32.JITSE41076-0342, DOI 10.1061/(ASCE)1076-0342(2004)10:1(23),23-32.JITSE41076-0342]
NR 25
TC 11
Z9 13
U1 0
U2 35
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1076-0342
EI 1943-555X
J9 J INFRASTRUCT SYST
JI J. Infrastruct. Syst.
PD SEP
PY 2015
VL 21
IS 3
AR 05014006
DI 10.1061/(ASCE)IS.1943-555X.0000230
PG 14
WC Engineering, Civil
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Engineering
GA CP2QN
UT WOS:000359722200001
DA 2025-01-10
ER

PT J
AU Lenderink, G
   van den Hurk, BJJM
   Tank, AMGK
   van Oldenborgh, GJ
   van Meijgaard, E
   de Vries, H
   Beersma, JJ
AF Lenderink, G.
   van den Hurk, B. J. J. M.
   Tank, A. M. G. Klein
   van Oldenborgh, G. J.
   van Meijgaard, E.
   de Vries, H.
   Beersma, J. J.
TI Preparing local climate change scenarios for the Netherlands using
   resampling of climate model output
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE climate scenarios; precipitation change; temperature change; regional
   downscaling
ID PRECIPITATION; TEMPERATURE; ADAPTATION
AB A method to prepare a set of four climate scenarios for the Netherlands is presented. These scenarios for climate change in 2050 and 2085 (compared to present-day) are intended for general use in climate change adaptation in the Netherlands. An ensemble of eight simulations with the global model EC-Earth and the regional climate model RACMO2 (run at 12 km resolution) is used. For each scenario time horizon, two target values of the global mean temperature rise are chosen based on the spread in the CMIP5 simulations. Next, the corresponding time periods in the EC-Earth/RACMO2 simulations are selected in which these target values of the global temperature rise are reached. The model output for these periods is then resampled using blocks of 5 yr periods. The rationale of resampling is that natural variations in the EC-Earth/RACMO2 ensemble are used to represent (part of the) uncertainty in the CMIP5 projections. Samples are then chosen with the aim of reconstructing the spread in seasonal temperature and precipitation changes in CMIP5 for the Netherlands. These selected samples form the basis of the scenarios. The resulting four scenarios represent 50-80% of the CMIP5 spread for summer and winter changes in seasonal means as well as a limited number of monthly statistics (warm, cold, wet and dry months). The strong point of the method-also in relation to the previous set of the climate scenarios for the Netherlands issued in 2006-is that it preserves nearly all physical inter-variable consistencies as they exist in the original model output in both space and time.
C1 [Lenderink, G.; van den Hurk, B. J. J. M.; Tank, A. M. G. Klein; van Oldenborgh, G. J.; van Meijgaard, E.; de Vries, H.; Beersma, J. J.] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands.
C3 Royal Netherlands Meteorological Institute
RP Lenderink, G (corresponding author), Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands.
EM lenderin@knmi.nl
RI van Meijgaard, Erik/ADA-0860-2022; Lenderink, Geert/ACB-1808-2022; van
   den Hurk, Bart/ABI-1654-2020; van Oldenborgh, Geert/A-4176-2011; Klein
   Tank, Albert/R-7329-2018
OI Klein Tank, Albert/0000-0002-6275-2406; lenderink,
   geert/0000-0002-1572-4867
FU Dutch project Knowledge for Climate (KfC)
FX We would like to acknowledge financial support from Dutch project
   Knowledge for Climate (KfC). Camiel Severijns is acknowledged for
   performing the runs with EC-Earth. We thank Mark Savenije and Bert van
   ULFT for technical support. We acknowledge the World Climate Research
   Program's Working Group on Coupled Modeling, which is responsible for
   CMIP, and we thank the climate modeling groups for producing and making
   available their model output. The CMIP5 model data have been obtained
   via the ETHZ subarchive and are also available on the KNMI Climate
   Explorer (climexp.knmi.nl).
CR Andrews T, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051607
   [Anonymous], VULNERABILITY ASSESS
   Attema JJ, 2014, CLIM DYNAM, V42, P505, DOI 10.1007/s00382-013-1665-4
   Bhend J, 2013, CLIMATIC CHANGE, V118, P799, DOI 10.1007/s10584-012-0691-2
   Christensen JH, 2010, CLIM RES, V44, P179, DOI 10.3354/cr00916
   Deser C, 2012, CLIM DYNAM, V38, P527, DOI 10.1007/s00382-010-0977-x
   Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004
   Fischer AM, 2012, INT J CLIMATOL, V32, P2348, DOI 10.1002/joc.3396
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Hazeleger W, 2010, B AM METEOROL SOC, V91, P1357, DOI 10.1175/2010BAMS2877.1
   Huard D, 2014, B AM METEOROL SOC, V95, P1213, DOI 10.1175/BAMS-D-12-00163.1
   Kendon EJ, 2014, NAT CLIM CHANGE, V4, P570, DOI [10.1038/nclimate2258, 10.1038/NCLIMATE2258]
   Knutson TR, 2013, J CLIMATE, V26, P8709, DOI 10.1175/JCLI-D-12-00567.1
   Lenderink G, 2007, CLIM DYNAM, V29, P157, DOI 10.1007/s00382-007-0227-z
   Lenderink G, 2004, Q J ROY METEOR SOC, V130, P3405, DOI 10.1256/qj.03.117
   Lenderink G, 2010, CLIM RES, V44, P151, DOI 10.3354/cr00946
   Mitchell TD, 2003, CLIMATIC CHANGE, V60, P217, DOI 10.1023/A:1026035305597
   Murphy JM, 2007, PHILOS T R SOC A, V365, P1993, DOI 10.1098/rsta.2007.2077
   Otto A, 2013, NAT GEOSCI, V6, P415, DOI 10.1038/ngeo1836
   Rowell DP, 2006, CLIM DYNAM, V27, P281, DOI 10.1007/s00382-006-0125-9
   Screen JA, 2014, NAT CLIM CHANGE, V4, P577, DOI [10.1038/nclimate2268, 10.1038/NCLIMATE2268]
   Stocker, 2014, CLIMATE CHANGE 2013
   Tank AMGK, 1995, STUD ENVIRON SCI, V65, P391
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   Trenberth KE, 2003, B AM METEOROL SOC, V84, P1205, DOI 10.1175/BAMS-84-9-1205
   van den Hurk B, 2007, WATER SCI TECHNOL, V56, P27, DOI 10.2166/wst.2007.533
   van den Hurk B, 2014, CLIM DYNAM, V42, P1683, DOI 10.1007/s00382-013-1707-y
   van der Linden P., 2009, ENSEMBLES CLIMATE CH
   van Haren R, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014053
   van Haren R, 2013, CLIM DYNAM, V40, P1, DOI 10.1007/s00382-012-1401-5
   van Meijgaard E., 2012, Refinement and application of a regional atmospheric model for climate scenario calculations of Western Europe (No. KVR 054/12)
   van Oldenborgh GJ, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014055
   van Oldenborgh GJ, 2009, CLIM PAST, V5, P1, DOI 10.5194/cp-5-1-2009
   van Oldenborgh GJ, 2012, CLIM DYNAM, V38, P1263, DOI 10.1007/s00382-012-1313-4
   van Ulden AP, 2006, ATMOS CHEM PHYS, V6, P863, DOI 10.5194/acp-6-863-2006
   Whetton P, 2012, CLIMATIC CHANGE, V115, P433, DOI 10.1007/s10584-012-0471-z
   Wilby RL, 2009, INT J CLIMATOL, V29, P1193, DOI 10.1002/joc.1839
NR 37
TC 21
Z9 21
U1 0
U2 15
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 NOV
PY 2014
VL 9
IS 11
AR 115008
DI 10.1088/1748-9326/9/11/115008
PG 13
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA AW9JS
UT WOS:000346573900039
OA gold
DA 2025-01-10
ER

PT J
AU Chichakly, KJ
   Bowden, WB
   Eppstein, MJ
AF Chichakly, Karim J.
   Bowden, William B.
   Eppstein, Margaret J.
TI Minimization of cost, sediment load, and sensitivity to climate change
   in a watershed management application
SO ENVIRONMENTAL MODELLING & SOFTWARE
LA English
DT Article
DE Multiobjective; Differential evolution; Robustness to uncertainty;
   Stormwater management; Best management practices (BMPs); Total maximum
   daily load (TMDL)
ID DIFFERENTIAL EVOLUTION; MULTIOBJECTIVE OPTIMIZATION; GENETIC ALGORITHM;
   DECISION-SUPPORT; OPTIMAL LOCATION; BMP PLACEMENT; STORMWATER; LEVEL
AB One challenge of climate change adaptation is to design watershed-based stormwater management plans that meet current total maximum daily load targets and also take into consideration anticipated changes in future precipitation patterns. We present a multi-scale, multiobjective framework for generating a diverse family of stormwater best management practice (BMP) plans for entire watersheds. Each of these alternative BMP configurations are non-dominated by any other identified solution with respect to cost of the implementation of the management plan and sediment loading predicted at the outflow of the watershed; those solutions are then pruned with respect to dominance in sensitivity to predicted changes in precipitation patterns. We first use GIS data to automatically precompute a set of cost-optimal BMP configurations for each subwatershed, over its entire range of possible treatment levels. We then formulate each solution as a real-valued vector of treatment levels for the subwatersheds and employ a staged multiobjective optimization approach using differential evolution to generate sets of non-dominated solutions. Finally, selected solutions are mapped back to the corresponding preoptimized BMP configurations for each subwatershed. The integrated method is demonstrated on the Bartlett Brook mixed-used impaired watershed in South Burlington, VT, and patterns in BMP configurations along the non-dominated front are investigated. Watershed managers and other stakeholders could use this approach to assess the relative trade-offs of alternative stormwater BMP configurations. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Chichakly, Karim J.] Univ Vermont, Dept Comp Sci, Burlington, VT 05401 USA.
   [Bowden, William B.] Univ Vermont, Rubenstein Sch Environm & Nat Resources, Burlington, VT 05401 USA.
   [Eppstein, Margaret J.] Univ Vermont, Dept Comp Sci, Burlington, VT 05401 USA.
C3 University of Vermont; University of Vermont; University of Vermont
RP Chichakly, KJ (corresponding author), POB 21, Cornish Flat, NH 03746 USA.
EM karimc17@gmail.com; breck.bowden@uvm.edu; maggie.eppstein@uvm.edu
RI Bowden, William/J-9219-2014
OI Eppstein, Margaret/0000-0002-7775-1430
FU VT EPSCoR Grant NSF EPS [0701410]; USGS [06HQGR0123]; EPSCoR; Office Of
   The Director [0701410] Funding Source: National Science Foundation
FX This research was supported in part by VT EPSCoR Grant NSF EPS #0701410
   and USGS 06HQGR0123.
CR Abbass H. A., 2002, International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms), V11, P531, DOI 10.1142/S0218213002001039
   Ali M, 2012, EUR J OPER RES, V217, P404, DOI 10.1016/j.ejor.2011.09.025
   [Anonymous], 9 INT C PAR PROBL SO
   [Anonymous], WAT ENV FED C
   [Anonymous], THESIS PENNSYLVANIA
   [Anonymous], 3 INT C COMP INT ROB
   [Anonymous], DIFFERENTIAL EVOLUTI
   [Anonymous], COMP PROGR PROJ FORM
   [Anonymous], CLIM CHANG US NE REP
   [Anonymous], LIST WAT A
   [Anonymous], WORLD ENV WAT RES C
   [Anonymous], VERMONT STORMWATER F
   [Anonymous], 3 INT C EV MULT OPT
   [Anonymous], 1986, Urban hydrology for small watersheds. In Soil conservation (Issue Technical Release 55 (TR-55))
   [Anonymous], INT AGR ENG J
   [Anonymous], COMP P GEN EV COMP C
   [Anonymous], INTR CLEAN WAT ACT
   [Anonymous], THESIS U VERMONT BUR
   [Anonymous], VERM STORMW MAN MAN
   Arabi M, 2006, WATER RESOUR RES, V42, DOI 10.1029/2006WR004931
   Bicknell BJ., 2001, HYDROLOGICAL SIMULAT
   Booth DB, 2002, J AM WATER RESOUR AS, V38, P835, DOI 10.1111/j.1752-1688.2002.tb01000.x
   Chichakly KJ, 2013, IEEE ACCESS, V1, P275, DOI 10.1109/ACCESS.2013.2262491
   Coello Coello C. A., 1999, KNOWL INF SYST, V1, P269, DOI [10.1007/BF03325101, DOI 10.1007/BF03325101]
   Das S, 2011, IEEE T EVOLUT COMPUT, V15, P4, DOI 10.1109/TEVC.2010.2059031
   Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017
   Freeborn JR, 2012, J GREEN BUILD, V7, P15, DOI 10.3992/jgb.7.2.15
   Froehlich DC, 2010, J IRRIG DRAIN ENG, V136, P675, DOI 10.1061/(ASCE)IR.1943-4774.0000259
   Froehlich DC, 2009, J IRRIG DRAIN ENG, V135, P241, DOI 10.1061/(ASCE)0733-9437(2009)135:2(241)
   Gitau MW, 2006, J AM WATER RESOUR AS, V42, P1565, DOI 10.1111/j.1752-1688.2006.tb06021.x
   Gitau MW, 2004, T ASAE, V47, P1923, DOI 10.13031/2013.17805
   Hsieh PH, 2010, ENVIRON ENG SCI, V27, P441, DOI 10.1089/ees.2010.0003
   Iorio AW, 2004, LECT NOTES ARTIF INT, V3339, P861
   Kukkonen S, 2005, IEEE C EVOL COMPUTAT, P443
   Lee JG, 2012, ENVIRON MODELL SOFTW, V37, P6, DOI 10.1016/j.envsoft.2012.04.011
   Li H, 2009, IEEE T EVOLUT COMPUT, V13, P284, DOI 10.1109/TEVC.2008.925798
   Limbrunner J., 2007, World Environmental and Water Resources Congress 2007. ASCE: Tampa, P1
   Maringanti C, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007094
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Muleta MK, 2005, J WATER RES PLAN MAN, V131, P35, DOI 10.1061/(ASCE)0733-9496(2005)131:1(35)
   Panagopoulos Y, 2012, ENVIRON MODELL SOFTW, V30, P57, DOI 10.1016/j.envsoft.2011.11.006
   Perez-Pedini C, 2005, J WATER RES PLAN MAN, V131, P441, DOI 10.1061/(ASCE)0733-9496(2005)131:6(441)
   Qian F, 2012, SOFT COMPUT, V16, P1353, DOI 10.1007/s00500-012-0816-6
   Qu B., 2011, IEEE S DIFFERENTIAL, P1
   Rabotyagov SS, 2010, CAN J AGR ECON, V58, P411, DOI 10.1111/j.1744-7976.2010.01198.x
   Semadeni-Davies A, 2008, J HYDROL, V350, P114, DOI 10.1016/j.jhydrol.2007.11.006
   Srivastava P, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000365
   Storn R, 1997, J GLOBAL OPTIM, V11, P341, DOI 10.1023/A:1008202821328
   Veith TL, 2003, J AM WATER RESOUR AS, V39, P1331, DOI 10.1111/j.1752-1688.2003.tb04421.x
   Verdu S., 1984, IEEE Transactions on Information Theory, VIT-30, P328, DOI 10.1109/TIT.1984.1056876
   Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/04-028.1
   Zamuda A, 2007, IEEE C EVOL COMPUTAT, P3617, DOI 10.1109/CEC.2007.4424941
   Zhen XY, 2004, J WATER RES PLAN MAN, V130, P339, DOI 10.1061/(ASCE)0733-9496(2004)130:4(339)
NR 53
TC 28
Z9 33
U1 4
U2 40
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1364-8152
EI 1873-6726
J9 ENVIRON MODELL SOFTW
JI Environ. Modell. Softw.
PD DEC
PY 2013
VL 50
BP 158
EP 168
DI 10.1016/j.envsoft.2013.09.009
PG 11
WC Computer Science, Interdisciplinary Applications; Engineering,
   Environmental; Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Computer Science; Engineering; Environmental Sciences & Ecology; Water
   Resources
GA 262RG
UT WOS:000327754700016
DA 2025-01-10
ER

PT J
AU Khazaei, H
   Street, K
   Bari, A
   Mackay, M
   Stoddard, FL
AF Khazaei, Hamid
   Street, Kenneth
   Bari, Abdallah
   Mackay, Michael
   Stoddard, Frederick L.
TI The FIGS (Focused Identification of Germplasm Strategy) Approach
   Identifies Traits Related to Drought Adaptation in <i>Vicia faba</i>
   Genetic Resources
SO PLOS ONE
LA English
DT Article
ID WATER-USE EFFICIENCY; CORE COLLECTIONS; PREDICTIVE ASSOCIATION; SAMPLING
   STRATEGY; RANDOM FORESTS; WHEAT; RESISTANCE; CLASSIFICATION; DIVERSITY;
   STRESS
AB Efficient methods to explore plant agro-biodiversity for climate change adaptive traits are urgently required. The focused identification of germplasm strategy (FIGS) is one such approach. FIGS works on the premise that germplasm is likely to reflect the selection pressures of the environment in which it developed. Environmental parameters describing plant germplasm collection sites are used as selection criteria to improve the probability of uncovering useful variation. This study was designed to test the effectiveness of FIGS to search a large faba bean (Vicia faba L.) collection for traits related to drought adaptation. Two sets of faba bean accessions were created, one from moisture-limited environments, and the other from wetter sites. The two sets were grown under well watered conditions and leaf morpho-physiological traits related to plant water use were measured. Machine-learning algorithms split the accessions into two groups based on the evaluation data and the groups created by this process were compared to the original climate-based FIGS sets. The sets defined by trait data were in almost perfect agreement to the FIGS sets, demonstrating that ecotypic differentiation driven by moisture availability has occurred within the faba bean genepool. Leaflet and canopy temperature as well as relative water content contributed more than other traits to the discrimination between sets, indicating that their utility as drought-tolerance selection criteria for faba bean germplasm. This study supports the assertion that FIGS could be an effective tool to enhance the discovery of new genes for abiotic stress adaptation.
C1 [Khazaei, Hamid; Stoddard, Frederick L.] Univ Helsinki, Dept Agr Sci, Helsinki, Finland.
   [Street, Kenneth; Bari, Abdallah] Int Ctr Agr Res Dry Areas, Aleppo, Syria.
   [Mackay, Michael] Univ Queensland, Queensland Alliance Agr & Food Innovat, St Lucia, Qld, Australia.
C3 University of Helsinki; CGIAR; International Center for Agricultural
   Research in the Dry Areas (ICARDA); University of Queensland
RP Khazaei, H (corresponding author), Univ Helsinki, Dept Agr Sci, Helsinki, Finland.
EM hamid.khazaei@helsinki.fi
RI Khazaei, Hamid/E-8195-2018; Stoddard, Fred/E-6436-2015
OI Khazaei, Hamid/0000-0002-5202-8764; Stoddard, Fred/0000-0002-8097-5750
FU CIMO (Centre for International Mobility); Emil Aaltonen Foundation (Emil
   Aaltosen Saatio) fellowship; University of Helsinki and Legume Futures
   [KBBE 2009-1-2-01, 245216]
FX HK was supported by CIMO (Centre for International Mobility) and is
   currently supported by Emil Aaltonen Foundation (Emil Aaltosen Saatio)
   fellowship. The project was also supported by the University of Helsinki
   and Legume Futures (KBBE 2009-1-2-01, contract 245216 CP-FP 'Legume
   Futures: Legume supported cropping systems for Europe'). The funders had
   no role in study design, data collection and analysis, decision to
   publish, or preparation of the manuscript.
CR [Anonymous], 2006, J STAT SOFTW, DOI DOI 10.18637/JSS.V015.I09
   [Anonymous], R LANG ENV STAT COMP
   [Anonymous], 1931, Bull. Appl. Bot. Genet. Pl. Breed. Suppl
   Avola G, 2008, J PLANT PHYSIOL, V165, P796, DOI 10.1016/j.jplph.2007.09.004
   Bari A, 2012, GENET RESOUR CROP EV, V59, P1465, DOI 10.1007/s10722-011-9775-5
   Barnabas B, 2008, PLANT CELL ENVIRON, V31, P11, DOI 10.1111/j.1365-3040.2007.01727.x
   Barros V, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, pIX
   BARRS HD, 1962, AUST J BIOL SCI, V15, P413, DOI 10.1071/BI9620413
   Bartish GI, 2000, AGR FOOD SCI FINLAND, V9, P279, DOI 10.23986/afsci.5669
   Bhullar NK, 2009, P NATL ACAD SCI USA, V106, P9519, DOI 10.1073/pnas.0904152106
   Blum A, 2009, FIELD CROP RES, V112, P119, DOI 10.1016/j.fcr.2009.03.009
   Blum A, 2011, FUNCT PLANT BIOL, V38, P753, DOI 10.1071/FP11101
   Blum A, 2011, PLANT BREEDING FOR WATER-LIMITED ENVIRONMENTS, P11, DOI 10.1007/978-1-4419-7491-4_2
   Bouchabke O, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001705
   Breiman L., 2001, Machine Learning, V45, P5, DOI 10.1023/A:1010933404324
   Brown A. H. D., 1989, The use of plant genetic resources., P136
   Brown A. H. D., 1999, Core collections for today and tomorrow., P1
   BROWN AHD, 1989, GENOME, V31, P818, DOI 10.1139/g89-144
   CASLER MD, 1995, CROP SCI, V35, P1169, DOI 10.2135/cropsci1995.0011183X003500040043x
   Crépon K, 2010, FIELD CROP RES, V115, P329, DOI 10.1016/j.fcr.2009.09.016
   CUBERO JI, 1974, THEOR APPL GENET, V45, P47, DOI 10.1007/BF00283475
   Cutler DR, 2007, ECOLOGY, V88, P2783, DOI 10.1890/07-0539.1
   Dimitriadou E, 2010, R LIB E1071
   Drake JM, 2006, J APPL ECOL, V43, P424, DOI 10.1111/j.1365-2664.2006.01141.x
   Duc G, 1997, FIELD CROP RES, V53, P99, DOI 10.1016/S0378-4290(97)00025-7
   Duc G, 2011, CROP ADAPTATION TO CLIMATE CHANGE, P269
   Dwivedi SL, 2008, PL BRED RE, V30, P179
   El Bouhssini M, 2011, PLANT BREEDING, V130, P96, DOI 10.1111/j.1439-0523.2010.01814.x
   El Bouhssini M, 2009, GENET RESOUR CROP EV, V56, P1065, DOI 10.1007/s10722-009-9427-1
   Endresen DTF, 2011, CROP SCI, V51, P2036, DOI 10.2135/cropsci2010.12.0717
   Endresen DTF, 2010, CROP SCI, V50, P2418, DOI 10.2135/cropsci2010.03.0174
   EPPERSON BK, 1990, GENETICS, V124, P757
   Fan JW, 2012, CROP SCI, V52, P2341, DOI 10.2135/cropsci2011.11.0603
   FAO, 2010, 2 FAO
   Fawcett T, 2006, PATTERN RECOGN LETT, V27, P861, DOI 10.1016/j.patrec.2005.10.010
   Fischer RA, 1998, CROP SCI, V38, P1467, DOI 10.2135/cropsci1998.0011183X003800060011x
   Frankel O. H., 1984, Genetic manipulation: impact on man and society., P161
   Freeman EA, 2008, ECOL MODEL, V217, P48, DOI 10.1016/j.ecolmodel.2008.05.015
   Fu YB, 2005, THEOR APPL GENET, V111, P530, DOI 10.1007/s00122-005-2044-2
   Furman Bonnie J., 2006, Plant Genetic Resources Characterization and Utilization, V4, P2, DOI 10.1079/PGR200599
   Gepts P, 2006, CROP SCI, V46, P2278, DOI 10.2135/cropsci2006.03.0169gas
   Gollin D, 2000, AM J AGR ECON, V82, P812, DOI 10.1111/0002-9092.00083
   Guerin GR, 2012, BIOL LETTERS, V8, P882, DOI 10.1098/rsbl.2012.0458
   Hijmans RJ, 2005, INT J CLIMATOL, V25, P1965, DOI 10.1002/joc.1276
   Hodgkin T., 1995, CORE COLLECTIONS PLA, V3
   HOLBROOK CC, 1993, CROP SCI, V33, P859, DOI 10.2135/cropsci1993.0011183X003300040044x
   Hothorn T, 2006, J COMPUT GRAPH STAT, V15, P651, DOI 10.1198/106186006X133933
   Hu J, 2000, THEOR APPL GENET, V101, P264, DOI 10.1007/s001220051478
   Kaur N, 2008, EUR J PLANT PATHOL, V121, P387, DOI 10.1007/s10658-007-9252-3
   Khan HR, 2010, FIELD CROP RES, V115, P279, DOI 10.1016/j.fcr.2009.09.003
   Khan HUR, 2007, PLANT SOIL, V292, P205, DOI 10.1007/s11104-007-9217-5
   Kuhn M, 2008, J STAT SOFTW, V28, P1, DOI 10.18637/jss.v028.i05
   LANDIS JR, 1977, BIOMETRICS, V33, P159, DOI 10.2307/2529310
   Liknes GC, 2009, FOR INV AN FIA S 200
   Lumpkin TA, 2010, MOLECULAR PLANT BREEDING, P151, DOI 10.1079/9781845933920.0151
   Mackay M., 2005, Czech Journal of Genetics and Plant Breeding, V41, P335
   Mackay M., 2004, Proceedings of the 54th Australian Cereal Chemistry Conference and the 11th Wheat Breeders' Assembly, P138
   Mackay M. C., 1995, P199
   MACKAY MC, 1990, WHEAT GENETIC RESOURCES : MEETING DIVERSE NEEDS, P21
   Malosetti M, 2001, GENET RESOUR CROP EV, V48, P381, DOI 10.1023/A:1012003611371
   Masi CEA, 1998, J AGR SCI, V131, P259, DOI 10.1017/S0021859698005826
   Mba C., 2012, Agric. FoodSecur, VI, P1, DOI DOI 10.1186/2048-7010-1-7
   McKhann HI, 2004, PLANT J, V38, P193, DOI 10.1111/j.1365-313X.2004.02034.x
   Mut Z, 2010, BULG J AGRIC SCI, V16, P459
   Ortiz R, 1998, THEOR APPL GENET, V96, P475, DOI 10.1007/s001220050764
   Parra-Quijano M., 2012, Genetic Resources and Crop Evolution, V59, P205, DOI 10.1007/s10722-011-9676-7
   Peleg Z, 2005, PLANT CELL ENVIRON, V28, P176, DOI 10.1111/j.1365-3040.2005.01259.x
   Pessoa-Filho M, 2010, BMC PLANT BIOL, V10, DOI 10.1186/1471-2229-10-127
   Polignano G. B., 2001, Plant Genetic Resources Newsletter, P33
   Prasad AM, 2006, ECOSYSTEMS, V9, P181, DOI 10.1007/s10021-005-0054-1
   SPIETH PT, 1979, AM NAT, V113, P247, DOI 10.1086/283383
   Steinberg D., 2009, CART: Classification and Regression Trees, The Top Ten Algorthms in Data Mining
   Strobl C, 2009, PSYCHOL METHODS, V14, P323, DOI 10.1037/a0016973
   Swets JA, 2000, SCI AM, V283, P82, DOI 10.1038/scientificamerican1000-82
   Theranau TM., 1997, INTRO RECURSIVE PART, DOI [10.3390/su9081457, DOI 10.3390/SU9081457]
   Tirelli T, 2009, ECOL INFORM, V4, P234, DOI 10.1016/j.ecoinf.2009.07.003
   Tohme J, 1996, CROP SCI, V36, P1375, DOI 10.2135/cropsci1996.0011183X003600050048x
   Upadhyaya HD, 2001, THEOR APPL GENET, V102, P1292, DOI 10.1007/s00122-001-0556-y
   VAVILOV N.I., 1926, B APPL BOT GENET PL, V16, P139, DOI DOI 10.1038/118392A0
   WANG H, 1993, CAN J PLANT SCI, V73, P671, DOI 10.4141/cjps93-088
   WU L, 1975, HEREDITY, V34, P165, DOI 10.1038/hdy.1975.21
   Xu F, 2009, PROG NAT SCI-MATER, V19, P1789, DOI 10.1016/j.pnsc.2009.10.001
NR 82
TC 95
Z9 102
U1 2
U2 50
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 8
PY 2013
VL 8
IS 5
AR e63107
DI 10.1371/journal.pone.0063107
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA 145YI
UT WOS:000319055600055
PM 23667581
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU De Sousa, MRC
   Montalto, FA
   Spatari, S
AF De Sousa, Maria R. C.
   Montalto, Franco A.
   Spatari, Sabrina
TI Using Life Cycle Assessment to Evaluate Green and Grey Combined Sewer
   Overflow Control Strategies
SO JOURNAL OF INDUSTRIAL ECOLOGY
LA English
DT Article
DE environmental impact; green infrastructure; greenhouse gas (GHG)
   emissions; industrial ecology; stormwater management; urban hydrology
ID COST-EFFECTIVENESS; ENERGY USE
AB Decentralized approaches to managing urban stormwater are gaining increased attention within the contexts of urban sustainability, climate change adaptation, and as a means of reducing combined sewer overflows (CSOs). This study applied a life cycle assessment (LCA) to comparing the environmental efficiency of three means of equivalently reducing CSOs to the Bronx River (Bronx, NY, USA). Strategy 1 featured decentralized green infrastructure technologies, while "grey" strategies 2 and 3 detained, and detained and treated, respectively, excess flows at the end of pipe. We estimated greenhouse gas emissions (in metric tons of carbon dioxide equivalents [t CO2-eq]) over the construction, operation, and maintenance phases, including energy consumed at the wastewater treatment plant (WWTP), carbon sequestered, and shading provided by vegetation (in the case of the green approach) over a 50-year analysis period. The study area comprised the entire drainage area contributing to New York State permitted CSO discharge points associated with the Hunts Point WWTP. The analysis was performed using a hybrid of process and economic input-output (EIO) LCA methods. The decentralized green strategy outperformed the two grey strategies in terms of this set of environmental metrics. The net emissions of the green strategy over 50 years was 19,000 t CO2-eq, whereas the grey strategies emitted 85,000 t CO2-eq (detention) and 400,000 t CO2-eq (detention and treatment). These results were significantly influenced by the emissions associated with the operation and maintenance activities required for strategies 2 and 3, and the carbon sequestered and shading provided by the vegetation in strategy 1, and suggest that watershed managers who seek to reduce CSOs and reduce carbon footprints would opt for the green approach.
C1 [De Sousa, Maria R. C.; Montalto, Franco A.; Spatari, Sabrina] Drexel Univ, Dept Civil Architectural & Environm Engn, Philadelphia, PA 19104 USA.
C3 Drexel University
RP Montalto, FA (corresponding author), 3141 Chestnut St,Curtis Hall 251, Philadelphia, PA 19104 USA.
EM fmontalto@coe.drexel.edu
RI Spatari, Sabrina/C-2343-2012
OI Spatari, Sabrina/0000-0001-7243-9993
CR Adam D., 2007, The Guardian
   [Anonymous], 2005, NAT MAN MEAS CONTR N
   [Anonymous], 2004, NYNEWSDAY
   [Anonymous], 2009, Environmental Management, Life Cycle Assessment, Principles and Structure
   [Anonymous], STORM WAT MAN MOD SW
   Bannerman R., 2003, PUBWT776 WISC DEP NA
   Baumann H., 2004, HITCH HIKERS GUIDE L
   Bilec MM, 2010, J INFRASTRUCT SYST, V16, P199, DOI 10.1061/(ASCE)IS.1943-555X.0000022
   Blackhurst M, 2010, J ARCHIT ENG, V16, DOI 10.1061/(ASCE)AE.1943-5568.0000022
   Brehm D., 2007, MITNEWS         0214
   CCRC (Center for Urban Forest Research), 2011, CTR URB FOR RES TREE
   City of Akron, 1999, FAC PLAN 98
   CNT (Center for Neighborhood Technology), 2009, GREEN VAL CALC BEN D
   CRI (Conservation Research Institute), 2005, CHANG COST PERC AN C
   CRWA (Charles River Watershed Association), 2008, BLACKST TOWN HALL DE
   DWSD (Detroit Water and Sewerage Department), 2003, WAST MAST PLAN
   Flinker P., 2005, URBAN ENV DESIGN MAN
   Goldstein A., 2012, J HYDROLOGIC E UNPUB
   Goldstein A., 2011, THESIS DREXEL U PHIL
   Goldstein R., 2002, WATER SUSTAINABILITY, V4
   Green Design Institute, 2011, EC INP OUTP LIF CYCL
   HEISLER G M, 1986, Journal of Arboriculture, V12, P113
   Hendrickson C.T., 2006, Environmental Life Cycle Assessment of Goods and Services: An Input-Output Approach, Resources for the Future
   Hendriks CA, 2004, GREENH GAS CONTR TEC
   Herstein LM, 2009, J INFRASTRUCT SYST, V15, P241, DOI 10.1061/(ASCE)1076-0342(2009)15:3(241)
   Kloss C., 2012, COMMUNICATION
   Kosareo L, 2007, BUILD ENVIRON, V42, P2606, DOI 10.1016/j.buildenv.2006.06.019
   Li C., 2011, TECHNICAL MEMORANDUM
   MacMullan E., 2007, The Economics of Low-Impact Development: A Literature Review
   Martin Judith, 2011, COMMUNICATION
   McPherson E. G., 2007, TECHNICAL REPORT
   McPherson E.G., 1999, PSW171 USDA FOR SERV
   Montalto F, 2007, LANDSCAPE URBAN PLAN, V82, P117, DOI 10.1016/j.landurbplan.2007.02.004
   NCGBT (North Carolina Green Building Technology Database), 2003, PERV PAV DET CHADB S
   NYC DEP, 2010, NYC GREEN INFR PLAN
   NYC DEP (New York City Department of Environmental Protection), 2011, NEW YORK CIT WAST TR
   NYC DEP (New York City Department of Environmental Protection), 2007, FLUSH BAY WAT WAT FA
   PRe Consultants, 2007, SIMAPRO 7 1 LCA SOFT
   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]
   PWD (Philadelphia Water Department), 2009, Philadelphia combined sewer overflow long term control plan update, supplemental information, Vol. 5
   Racoviceanu AI, 2007, J INFRASTRUCT SYST, V13, P261, DOI 10.1061/(ASCE)1076-0342(2007)13:4(261)
   Saiz S, 2006, ENVIRON SCI TECHNOL, V40, P4312, DOI 10.1021/es0517522
   Sharrard A.L., 2007, THESIS CARNEGIE MELL
   Shetty N., 2011, COMMUNICATION
   Simpson JR, 1998, ATMOS ENVIRON, V32, P69, DOI 10.1016/S1352-2310(97)00181-7
   Spatari S, 2011, ENVIRON POLLUT, V159, P2174, DOI 10.1016/j.envpol.2011.01.015
   Stokes JR, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014015
   Stormchamber, 2011, STORMCH DES MAN
   Suh S, 2004, ENVIRON SCI TECHNOL, V38, P657, DOI 10.1021/es0263745
   Tackett T., 2011, COMMUNICATION
   U.S. EPA (U.S. Environmental ProtectionAgency), 1999, 832F99042 US EPA OFF
   UNHSC (University of New Hampshire Stormwater Center), 2009, BIANN REP UNHSC U NE
   United States Environmental Protection Agency (US EPA), 2007, RED STORMW COSTS LOW
   Usepa S., 1999, Stormwater Technology Fact Sheet: Porous Pavement
   Wakeley HL, 2009, ENVIRON SCI TECHNOL, V43, P2228, DOI 10.1021/es8015827
   Wise S., 2010, Integrating valuation methods to recognize green infrastructure's multiple benefits
   Zukovs G, 2004, WATER QUAL RES J CAN, V39, P439, DOI 10.2166/wqrj.2004.055
NR 57
TC 95
Z9 114
U1 4
U2 209
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1088-1980
EI 1530-9290
J9 J IND ECOL
JI J. Ind. Ecol.
PD DEC
PY 2012
VL 16
IS 6
SI SI
BP 901
EP 913
DI 10.1111/j.1530-9290.2012.00534.x
PG 13
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA 095QK
UT WOS:000315349300014
DA 2025-01-10
ER

PT J
AU Fürst, C
   Volk, M
   Pietzsch, K
   Makeschin, F
AF Fuerst, Christine
   Volk, Martin
   Pietzsch, Katrin
   Makeschin, Franz
TI Pimp Your Landscape: A Tool for Qualitative Evaluation of the Effects of
   Regional Planning Measures on Ecosystem Services
SO ENVIRONMENTAL MANAGEMENT
LA English
DT Article
DE Land-use planning; Land-use management; Environmental planning; Planning
   support; Evaluation of planning measures; Ecosystem services; Cellular
   automaton
ID CONSTRAINED CELLULAR-AUTOMATA; SPATIAL DECISION-SUPPORT; INTEGRATED
   MANAGEMENT; LAND; DYNAMICS; MODELS; SIMULATOR; SYSTEMS; INDICATORS;
   SCENARIOS
AB The article presents the platform "Pimp your landscape" (PYL), which aims firstly at the support of planners by simulating alternative land-use scenarios and by an evaluation of benefits or risks for regionally important ecosystem services. Second, PYL supports an integration of information on environmental and landscape conditions into impact assessment. Third, PYL supports the integration of impacts of planning measures on ecosystem services. PYL is a modified 2-D cellular automaton with GIS features. The cells have the major attribute "land-use type" and can be supplemented with additional information, such as specifics regarding geology, topography and climate. The GIS features support the delineation of non-cellular infrastructural elements, such as roads or water bodies. An evaluation matrix represents the core element of the system. In this matrix, values in a relative scale from 0 (lowest value) to 100 (highest value) are assigned to the land-use types and infrastructural elements depending on their effect on ecosystem services. The option to configure rules for describing the impact of environmental attributes and proximity effects on cell values and land-use transition probabilities is of particular importance. User interface and usage of the platform are demonstrated by an application case. Constraints and limits of the recent version are discussed, including the need to consider in the evaluation, landscape-structure aspects such as patch size, fragmentation and spatial connectivity. Regarding the further development, it is planned to include the impact of land management practices to support climate change adaptation and mitigation strategies in regional planning.
C1 [Fuerst, Christine; Makeschin, Franz] Tech Univ Dresden, Inst Soil Sci & Site Ecol, D-01737 Tharandt, Germany.
   [Volk, Martin] UFZ Helmholtz Ctr Environm Res, D-04318 Leipzig, Germany.
   [Pietzsch, Katrin] PiSolution, D-04416 Markkleeberg, Germany.
C3 Technische Universitat Dresden; Helmholtz Association; Helmholtz Center
   for Environmental Research (UFZ)
RP Fürst, C (corresponding author), Tech Univ Dresden, Inst Soil Sci & Site Ecol, Pienner Rd 19, D-01737 Tharandt, Germany.
EM fuerst@forst.tu-dresden.de
RI Fürst, Christine/H-8682-2012; Volk, Martin/F-1172-2010
OI Volk, Martin/0000-0003-0064-8133
FU INTERREG-III-a project IT-REG-EU [SN-06-J3-1-D1287 ERN]; German Federal
   Ministry of Education and Research [0330634K]; German Federal Ministry
   of Education and Research (BMBF) [01LR0802B]
FX The authors wish to acknowledge the numerous participants in the study.
   The development of the system was carried out in the framework of the
   INTERREG-III-a project IT-REG-EU (SN-06-J3-1-D1287 ERN) and the project
   ENFORCHANGE of the German Federal Ministry of Education and Research
   (0330634K). The actual system adaptation has been done in the project
   REGKLAM of the German Federal Ministry of Education and Research (BMBF)
   (01LR0802B).
CR Alkemade JRM, 1998, ENVIRON POLLUT, V102, P101, DOI 10.1016/S0269-7491(98)80021-3
   [Anonymous], FOREST ECOLOGY LANDS
   [Anonymous], LIVING REV LANDSCAPE
   Barredo JI, 2003, LANDSCAPE URBAN PLAN, V64, P145, DOI 10.1016/S0169-2046(02)00218-9
   Bragg DC, 2004, ECOL MODEL, V173, P31, DOI 10.1016/j.ecolmodel.2003.08.017
   Cochinos R, 2000, INTRO THEORY CELLULA
   Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0
   Couclelis H, 1997, ENVIRON PLANN B, V24, P165, DOI 10.1068/b240165
   Crookston NL, 2005, COMPUT ELECTRON AGR, V49, P60, DOI 10.1016/j.compag.2005.02.003
   Dale VH, 2007, ECOL ECON, V64, P286, DOI 10.1016/j.ecolecon.2007.05.009
   de Kok JL, 2009, WATER RESOUR MANAG, V23, P1781, DOI 10.1007/s11269-008-9352-7
   Fischer B, 2009, FOREST ECOLOGY LANDS, V9, P53
   Frank S, 2010, IUFRO LANDS IN PRESS
   Fürst C, 2008, WIT TRANS BUILT ENV, V100, P219, DOI 10.2495/GEO080221
   Fürst C, 2010, WATER AIR SOIL POLL, V208, P129, DOI 10.1007/s11270-009-0154-1
   Furst C, ENV MANAGEM IN PRESS
   Furst C, 2004, CONTRIBUTIONS FOREST
   FURST C, 2009, REF FORESTIERE FRANC, V1, P21
   Furst C, 2010, ECOL SOC, V15
   Gaiser T, 2008, PHYS CHEM EARTH, V33, P175, DOI 10.1016/j.pce.2007.04.018
   Georgoudas IG, 2007, ENVIRON MODELL SOFTW, V22, P1455, DOI 10.1016/j.envsoft.2006.06.015
   Giupponi C, 2007, ENVIRON MODELL SOFTW, V22, P248, DOI 10.1016/j.envsoft.2005.07.024
   Goldberg V, 2008, ANN GEOPHYS-GERMANY, V26, P1977, DOI 10.5194/angeo-26-1977-2008
   Harremoes P, 2001, 22 OPEC
   Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005
   Helming K., 2008, SUSTAINABILITY IMPAC, P77, DOI [DOI 10.1007/978-3-540-78648-1_6, 10.1007/978-3-540-78648-1, DOI 10.1007/978-3-540-78648-1, 10.1007/978-3-540-78648-1_6]
   Hewett CJM, 2009, ENVIRON MODELL SOFTW, V24, P74, DOI 10.1016/j.envsoft.2008.05.006
   Higgs G, 2008, LAND USE POLICY, V25, P596, DOI 10.1016/j.landusepol.2007.12.001
   Hirschfeld J, 2005, LIMNOLOGICA, V35, P234, DOI 10.1016/j.limno.2005.06.007
   Holzkaemper A, 2007, ENVIRON MODELL SOFTW, V22, P1801, DOI 10.1016/j.envsoft.2007.02.008
   Janssen R, 2003, PHYS CHEM EARTH, V28, P611, DOI 10.1016/S1474-7065(03)00107-4
   Koschke L, 2010, IUFRO LANDS IN PRESS
   Lambin EF, 2000, AGR ECOSYST ENVIRON, V82, P321, DOI 10.1016/S0167-8809(00)00235-8
   Lautenbach S, 2009, ENVIRON MODELL SOFTW, V24, P26, DOI 10.1016/j.envsoft.2008.05.001
   Le QB, 2008, ECOL INFORM, V3, P135, DOI 10.1016/j.ecoinf.2008.04.003
   Leitao AB, 2002, LANDSCAPE URBAN PLAN, V59, P65, DOI 10.1016/S0169-2046(02)00005-1
   Lennertz, 2008, Planning Commissioners Journal, V71, P1
   Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progress.2003.09.002
   Matthies M, 2007, ENVIRON MODELL SOFTW, V22, P123, DOI 10.1016/j.envsoft.2005.09.005
   Mendoza GA, 2006, FOREST ECOL MANAG, V230, P1, DOI 10.1016/j.foreco.2006.03.023
   Moreno N, 2009, COMPUT ENVIRON URBAN, V33, P44, DOI 10.1016/j.compenvurbsys.2008.09.008
   MULLER F, 1992, ECOL MODEL, V63, P215, DOI 10.1016/0304-3800(92)90070-U
   Newham LTH, 2006, INT J RIVER BASIN MA, V4, P1
   Parker DC, 2008, GEOFORUM, V39, P789, DOI 10.1016/j.geoforum.2007.05.005
   Parker P, 2002, ENVIRON MODELL SOFTW, V17, P209, DOI 10.1016/S1364-8152(01)00059-7
   Perez-Soba M., 2008, Sustainability Impact Assessment of Land Use Changes, P375
   Petry D, 2001, LANDSCAPE BALANCE AND LANDSCAPE ASSESSMENT, P251
   Pretzsch H, 2002, FOREST ECOL MANAG, V162, P3, DOI 10.1016/S0378-1127(02)00047-6
   ROETTER RP, 2005, ENVIRON MODELL SOFTW, V20, P91
   Rosa MP, 2008, NATO SCI S SS IV EAR, V80, P23
   Rossing WAH, 2007, AGR ECOSYST ENVIRON, V120, P41, DOI 10.1016/j.agee.2006.05.031
   Silva EA, 2008, PROG PLANN, V70, P133, DOI 10.1016/j.progress.2008.05.002
   Soares BS, 2002, ECOL MODEL, V154, P217, DOI 10.1016/S0304-3800(02)00059-5
   Steinhardt U, 2003, ECOL MODEL, V168, P251, DOI 10.1016/S0304-3800(03)00140-6
   Tobler W.R., 1979, Philosophy in Geography, P379, DOI [10.1007/978-94-009-9394-5_18, DOI 10.1007/978-94-009-9394-5_18]
   Ulam S., 1952, Proc Int Congr Math 1950, V2, P264
   Uran O., 2003, Computers, Environment and Urban Systems, V27, P511, DOI 10.1016/S0198-9715(02)00064-9
   Uuemaa E, 2005, ECOL INDIC, V5, P350, DOI 10.1016/j.ecolind.2005.03.009
   van Delden H, 2007, ENVIRON MODELL SOFTW, V22, P223, DOI 10.1016/j.envsoft.2005.07.019
   van der Sluijs JP, 2007, ENVIRON MODELL SOFTW, V22, P590, DOI 10.1016/j.envsoft.2005.12.020
   Verburg PH, 2009, J ENVIRON MANAGE, V90, P1327, DOI 10.1016/j.jenvman.2008.08.005
   Verburg PH, 2006, AGR ECOSYST ENVIRON, V114, P39, DOI 10.1016/j.agee.2005.11.024
   Voinov A, 2008, ECOL MODEL, V216, P197, DOI 10.1016/j.ecolmodel.2008.03.010
   Volk M, 2008, ECOL ECON, V66, P66, DOI 10.1016/j.ecolecon.2008.01.016
   Volk M, 2010, ENVIRON MANAGE, V46, P834, DOI 10.1007/s00267-009-9417-2
   White R, 1997, ENVIRON PLANN B, V24, P235, DOI 10.1068/b240235
   WHITE R, 1993, ENVIRON PLANN A, V25, P1175, DOI 10.1068/a251175
   White R, 1997, ENVIRON PLANN B, V24, P323, DOI 10.1068/b240323
   WHITE R, 1994, CHAOS SOLITON FRACT, V4, P563, DOI 10.1016/0960-0779(94)90066-3
   White W, 2004, TRANSPORT RES REC, P25
   Wickramasuriya RC, 2009, ECOL MODEL, V220, P2302, DOI 10.1016/j.ecolmodel.2009.05.021
   Wijewardana D, 2008, ECOL INDIC, V8, P115, DOI 10.1016/j.ecolind.2006.11.003
   Yang QS, 2008, COMPUT GEOSCI-UK, V34, P592, DOI 10.1016/j.cageo.2007.08.003
   Yli-Viikari A, 2007, ECOL INDIC, V7, P150, DOI 10.1016/j.ecolind.2005.11.005
NR 74
TC 41
Z9 48
U1 0
U2 73
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 2010
VL 46
IS 6
BP 953
EP 968
DI 10.1007/s00267-010-9570-7
PG 16
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 695HN
UT WOS:000285361300011
PM 20924579
DA 2025-01-10
ER

PT C
AU Hjelseth, E
   Thiis, TK
AF Hjelseth, E.
   Thiis, T. K.
BE Zarli, A
   Scherer, R
TI Use of BIM and GIS to enable climatic adaptations of buildings
SO EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTIO N
LA English
DT Proceedings Paper
CT 7th European Conference on Product and Process Modelling
CY SEP 10-12, 2008
CL Sophia Antipolis, FRANCE
SP Ctr Sci & Tech Batiment
AB Analysis of climatic adaptation of buildings and their near environment is only in small degree assessed by experts. There is a need for better access to relevant information, in right time and cost, and to develop rule-based methods for automatic assessment building or building parts. Use of Building Information Models (BIM) in rule-based programs access information trough the non-proprietary IFC-file format. This will set enable more geographic diversified adaptations of buildings. The quality of the assessment methods in the software tools can be accredited by standardization organizations. This can be used for certification and/or for documentation to the building owner to get documentation in what degree the project goals is achieved. The assessment method in the software tools can be developed by using the IDM method (Information Delivery Manual) in the buildingSMART/IFC/BIM concept. An increased use of quantitative analyzes will influence the design process and make it possibly to both reduce climatic related damages on buildings, improve user quality, and improve the balance between climatic adaptation demands with numbers of other demands.
CR [Anonymous], 1200632007 ISO
   [Anonymous], 219302007 ISO
   BELL H, 2006, BUILDINGSMART ONTOLO
   *BENTL, 2008, BUILD ON
   DRANGE H, 2008, 16 TEKN UK
   *EPD, 2008, 14025 EPD ISO
   ERIKSEN SEH, 2007, 3 SINTEFBYGGFORSK
   HAAGENRUD SE, 2008, P IIDBMC C DUR BUILD
   *IAI, 2008, IFC MOD
   *IAI, 2008, HVA ER IAG IFC
   *IDM, 2008, IDM CONFL DASHB
   *IFC, 2007, INT FRAM DICT
   *IFG, 2008, IFC GIS PROJ
   INGVALDSEN T, 1994, 163 NBI PROSJ
   INGVALDSEN T, 2001, 308 NBI PROSJ
   *ISG, 2008, BUILDINGSMARTS SOFTW
   *ISO CD PAS, 2008, 294811 ISOCD PAS
   *ISO PAS, 167392005 ISOPAS
   *ISO TC, 2008, 211 ISO TC
   JONASEN H, 2008, 17 TEKN UK
   KVANDE T, 2007, KLIMA 2000 HOVEDRESU
   Liso K.R., 2007, KLIMATILPASNING BYGN
   Liso KR, 2006, BUILD RES INF, V34, P546, DOI 10.1080/09613210600736248
   LISO KR, 2006, CLIMATE 2000 WEATHER
   MOHUS J, 2006, STANDARD NORGE IFD L
   *NBIMS, 2006, EARL DES INF EXCH ED
   *NBIMS, 2006, OV NAT BIM STAND PRE
   OYEN CF, 2007, DESIGN PROCESS CHALL
   PETERSEN NC, 1978, KLIMATOLOGI BYGGERI
   SAMSET K, 2001, PROSJEKRVURDERING TI
   Scheffer T. C., 1971, Forest Products Journal, V21, P25
   SIKANDER E, 2003, 200309 SP SVER PROV
   STANGELAND B, 2008, BUILDINGSMART WORKSH
   TVEITO OE, 2004, NAR SNOEN BALLER SEG
   UNDERTHUN A, 2006, TILER NORSKE FERDIGH
   VERRALL AF, 1978, MODIFICATION PREVENT
   WIX J, 2006, IFC GIS PROJECT
   WOLLENG T, 1979, HDB NORGES BYGGFRSKN, V33
NR 38
TC 6
Z9 8
U1 0
U2 12
PU CRC PRESS-TAYLOR & FRANCIS GROUP
PI BOCA RATON
PA 6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA
BN 978-0-415-48245-5
PY 2009
BP 409
EP 417
PG 9
WC Business; Construction & Building Technology; Management
WE Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science &amp; Humanities (CPCI-SSH)
SC Business & Economics; Construction & Building Technology
GA BJK57
UT WOS:000266703300046
DA 2025-01-10
ER

PT J
AU Olabisi, LS
   Onyeneke, RU
   Choko, OP
   Chiemela, SN
   Liverpool-Tasie, LSO
   Achike, AI
   Aiyeloja, AA
AF Olabisi, Laura Schmitt
   Onyeneke, Robert Ugochukwu
   Choko, Onyinye Prince
   Chiemela, Stella Nwawulu
   Liverpool-Tasie, Lenis Saweda O.
   Achike, Anthonia Ifeyinwa
   Aiyeloja, Adedapo Ayo
TI Scenario Planning for Climate Adaptation in Agricultural Systems
SO AGRICULTURE-BASEL
LA English
DT Article
DE scenarios; climate change; adaptation; community; governance
ID FOOD SECURITY; DECISIONS; PATHWAYS; POLICY; TOOL
AB Effective climate adaptation in sub-Saharan African agriculture will require coordination across multiple scales of governance. Decision-makers from local to national scales will be tasked with planning under conditions of high uncertainty, often with minimal data. Participatory scenario planning is a method for devising adaptation strategies under high uncertainty, and we hypothesized that it could also be used for identifying systemic, inclusive, and transformative adaptation options at the community scale, and for highlighting opportunities for cross-scalar collaboration. We conducted scenario exercises with two communities in southeastern Nigeria that have experienced increasing flooding and other challenges linked to climate variability. Both communities identified drivers of change that intersect with climate, as well as community-scale actions that would improve adaptation to a range of future scenarios. We found evidence that scenario exercises can stimulate communities to develop transformative approaches to climate adaptation that seek to reduce climate risk by creating new systems and processes. We also found that community-identified priorities for strategic action highlight how larger-scale interventions could coordinate with communities to adapt more effectively. Participatory scenario planning is therefore a potentially important tool for adaptation planning in regions in which future conditions are highly uncertain.
C1 [Olabisi, Laura Schmitt] Michigan State Univ, Dept Community Sustainabil, E Lansing, MI 48824 USA.
   [Onyeneke, Robert Ugochukwu] Alex Ekwueme Fed Univ Ndufu Alike, Dept Agr, Agr Econ & Extens Programme, Ikwo 482131, Ebonyi State, Nigeria.
   [Choko, Onyinye Prince; Aiyeloja, Adedapo Ayo] Univ Port Harcourt, Dept Forestry & Wildlife Management, Port Harcourt 500272, Nigeria.
   [Chiemela, Stella Nwawulu; Achike, Anthonia Ifeyinwa] Univ Nigeria, Dept Agr Econ, Nsukka 410001, Nigeria.
   [Liverpool-Tasie, Lenis Saweda O.] Michigan State Univ, Dept Agr Food & Resource Econ, E Lansing, MI 48824 USA.
C3 Michigan State University; University of Port Harcourt; University of
   Nigeria; Michigan State University
RP Olabisi, LS (corresponding author), Michigan State Univ, Dept Community Sustainabil, E Lansing, MI 48824 USA.
EM schmi420@msu.edu; robert.onyeneke@funai.edu.ng; chokonyinye@gmail.com;
   stella.chiemela@unn.edu.ng; lliverp@msu.edu; anthonia.achike@unn.edu.ng;
   aiyeloja@uniport.edu.ng
RI Aiyeloja, Adedapo/HMO-8847-2023; Choko, Onyinye/JBR-7667-2023; Onyeneke,
   Robert/AAS-6211-2021
OI Schmitt Olabisi, Laura/0000-0002-6557-9469; Liverpool-Tasie,
   Lenis/0000-0002-2990-5888; Choko, Onyinye Prince/0009-0000-4625-9745;
   Aiyeloja, Adedapo/0000-0002-5981-0062; Onyeneke,
   Robert/0000-0002-9242-901X
FU United States Agency for International Development (USAID) under the
   Feed the Future initiative; Michigan State University AgBioResearch
FX This research is made possible by the generous support of the American
   people through the United States Agency for International Development
   (USAID) under the Feed the Future initiative. The contents are the
   responsibility of study authors and do not necessarily reflect the views
   of USAID or the United States Government. The authors would also like to
   acknowledge financial support from Michigan State University
   AgBioResearch.
CR Adenle AA, 2017, ECOL ECON, V141, P190, DOI 10.1016/j.ecolecon.2017.06.004
   Badou DF, 2018, HYDROL PROCESS, V32, P2526, DOI 10.1002/hyp.13153
   Biggs R., 2015, APPL RESILIENCE THIN
   Bosomworth K, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab3095
   Chaudhury M, 2013, REG ENVIRON CHANGE, V13, P389, DOI 10.1007/s10113-012-0350-1
   Choko OP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11113100
   Cradock-Henry NA, 2020, ENVIRON SCI POLICY, V107, P66, DOI 10.1016/j.envsci.2020.02.020
   Enfors EI, 2008, ECOL SOC, V13
   Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006
   Jeans H., 2016, The future is a choice: The Oxfam framework and guidance for resilient development
   Johnson KA, 2012, ECOL SOC, V17, DOI 10.5751/ES-04780-170209
   Kahane A., 2012, Transformative Scenario Planning: Working together to change the future
   Khakee A., 1999, FORESIGHT, V1, P229, DOI DOI 10.1108/14636689910802160
   Kok K, 2011, TECHNOL FORECAST SOC, V78, P835, DOI 10.1016/j.techfore.2011.01.004
   Odemerho FO, 2015, ENVIRON URBAN, V27, P139, DOI 10.1177/0956247814558194
   Olabisi Laura Schmitt, 2018, Environment Systems & Decisions, V38, P23, DOI 10.1007/s10669-017-9653-6
   Olabisi LS, 2016, ELEMENTA-SCI ANTHROP, V4, DOI 10.12952/journal.elementa.000113
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pahl-Wostl C, 2002, AQUAT SCI, V64, P394, DOI 10.1007/PL00012594
   Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x
   Surajo AminuZ., 2016, International Journal of Scientific research and Management, V4, P4919, DOI [10.18535/ijsrm/v4i12.02, DOI 10.18535/IJSRM/V4I12.02]
   Totin E, 2018, FUTURES, V96, P44, DOI 10.1016/j.futures.2017.11.005
   Vervoort JM, 2014, GLOBAL ENVIRON CHANG, V28, P383, DOI 10.1016/j.gloenvcha.2014.03.001
   Wollenberg E, 2000, LANDSCAPE URBAN PLAN, V47, P65, DOI 10.1016/S0169-2046(99)00071-7
NR 24
TC 8
Z9 8
U1 2
U2 21
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 2020
VL 10
IS 7
AR 274
DI 10.3390/agriculture10070274
PG 9
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Agriculture
GA MX2BP
UT WOS:000557531600001
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Beery, T
AF Beery, Thomas
TI Exploring the Role of Outdoor Recreation to Contribute to Urban Climate
   Resilience
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptation; climate resilience; multifunctional green
   infrastructure; nature-based tourism; outdoor recreation; sustainability
ID CHANGE ADAPTATION; IMPACTS; SUSTAINABILITY; SIMILARITIES; PRINCIPLES;
   TOURISM
AB Climate resilience is an important mix of climate mitigation and climate adaptation designed to minimize current and future disruption while promoting opportunity. Given the importance of the regional and local arena for consideration of impacts of climate change trends and needs for climate action, climate resilience in one community, Duluth, Minnesota, is considered. At the core of this project is the climate resilience question: what can we currently be doing in our communities to prepare for projected climate change while simultaneously improving life for current residents and visitors? Given the growing importance of outdoor recreation and nature-based tourism in Duluth, the role this sector may be able to play in climate resilience is considered. Using action research methodology, the research process of adjusting, presenting, and conducting follow-up from a National Oceanic and Atmospheric Administration Climate Adaptation for Coastal Communities workshop is presented. The study takes a unique look at one workshop outcome, a Duluth Parks and Recreation planning tool. Specifically, a resilience checklist is presented as a useful sample outcome of the overall process. Beyond the study community, the role of outdoor recreation to serve climate resilience is explored and affirmed.
C1 [Beery, Thomas] Kristianstad Univ, Fac Educ, SE-29188 Kristianstad, Sweden.
C3 Kristianstad University
RP Beery, T (corresponding author), Kristianstad Univ, Fac Educ, SE-29188 Kristianstad, Sweden.
EM thomas.beery@hkr.se
OI Beery, Thomas/0000-0002-2774-3731
CR Aguiar FC, 2018, ENVIRON SCI POLICY, V86, P38, DOI 10.1016/j.envsci.2018.04.010
   American Public Health Association (APHA), 2015, AD ACT GRANT SUCC ST
   [Anonymous], DULUTH NEWS TRIBUNE
   [Anonymous], Minnesota Public Radio News
   [Anonymous], 1987, Our Common Future
   Askew AE, 2018, J PARK RECREAT ADM, V36, P97, DOI 10.18666/JPRA-2018-V36-I2-8316
   Bassett E, 2010, J AM PLANN ASSOC, V76, P435, DOI 10.1080/01944363.2010.509703
   Beery T, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10124791
   Bitsura-Meszaros K, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11123300
   Bjorhus J., INVASIVE GRASSES CHO
   Blumenfeld K., 2017, P OUTD RECR CLIM AD
   Bogdan R.C., 1992, QUALITATIVE RES ED, V2nd
   Boston Planning and Development Agency, CLIM RES GUID
   Brown RD, 2009, J CLIMATE, V22, P2124, DOI 10.1175/2008JCLI2665.1
   Circular Ecology, SUST SUST DEV WHAT I
   City of Duluth, ST LOUIS RIV CORR
   Climate Change Response Network, CLIM CHANG RESP NETW
   Cortinovis C, 2018, LAND-BASEL, V7, DOI 10.3390/land7040112
   Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940
   Demuzere M, 2014, J ENVIRON MANAGE, V146, P107, DOI 10.1016/j.jenvman.2014.07.025
   Dogru T, 2019, TOURISM MANAGE, V72, P292, DOI 10.1016/j.tourman.2018.12.010
   Dolesh R.J., PARKS RECREATION MAG
   Duluth Climbers Coalition, DUL REC 10 000 REI G
   Dumic I, 2018, CAN J INFECT DIS MED, V2018, DOI 10.1155/2018/5719081
   EWERT AW, 1991, SOC NATUR RESOUR, V4, P365, DOI 10.1080/08941929109380767
   Gardiner EP, 2019, CLIMATIC CHANGE, V153, P477, DOI 10.1007/s10584-018-2216-0
   Greater London Authority, 2005, AD CLIM CHANG CHECKL
   Grove Kevin., 2018, Resilience
   Hansen R, 2019, ECOL INDIC, V96, P99, DOI 10.1016/j.ecolind.2017.09.042
   Hestetune A, 2018, J OUTDOOR REC TOUR, V24, P21, DOI 10.1016/j.jort.2018.10.003
   Hughes S, 2015, URBAN CLIM, V14, P17, DOI 10.1016/j.uclim.2015.06.003
   Kolka RK, 2018, FORESTS, V9, DOI 10.3390/f9040179
   Krueger M, 2019, INSIGHTS IMAGING, V10, DOI 10.1186/s13244-019-0693-y
   Kueper A., SEA CHANGE SHIFTS CL
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lew AA, 2016, TOURISM GEOGR, V18, P18, DOI 10.1080/14616688.2015.1122664
   Lewin K, 1946, J SOC ISSUES, V2, P34, DOI 10.1111/j.1540-4560.1946.tb02295.x
   Lorenz S, 2017, REG ENVIRON CHANGE, V17, P425, DOI 10.1007/s10113-016-1030-3
   Louwagie Pam., 2001, STAR TRIBUNE, p01. A
   Lovell ST, 2013, LANDSCAPE ECOL, V28, P1447, DOI 10.1007/s10980-013-9912-y
   Marchese D, 2018, SCI TOTAL ENVIRON, V613, P1275, DOI 10.1016/j.scitotenv.2017.09.086
   McNamara KE, 2017, LOCAL ENVIRON, V22, P443, DOI 10.1080/13549839.2016.1216954
   Meyer-Arendt KJ, 2013, TOURISM GEOGR, V15, P1, DOI 10.1080/14616688.2012.727100
   Minnesota Department of Natural Resources, HIST MEG RAIN EV MIN
   Myers J.P., DAYTON APPROVES STAT
   National Resources Conservation Service, BIOSW ABS TRANSP LAR
   National Weather Service, FUR WINDS SNOW
   Nelson Cody., 2018, Minnesota Public Radio News
   NOAA, COAST COMM RES IND R
   NOAA, NOAA ED ADV NOAAS MI
   Passi P., 2013, Duluth News Tribune
   Pearson S., 2014, WHY DULUTH IS BEST T
   Picketts IM, 2018, ENVIRON SCI POLICY, V87, P26, DOI 10.1016/j.envsci.2018.05.017
   Pierce DW, 2008, J CLIMATE, V21, P6425, DOI 10.1175/2008JCLI2405.1
   Poland T.M., 2017, Biodiversity, conservation, and environmental management in the Great Lakes basin, P127
   Poudyal N. C., 2015, J OUTDOOR RECREATION, V11, P1
   Ramaswami A, 2016, SCIENCE, V352, P940, DOI 10.1126/science.aaf7160
   Rasmussen B., 2018, US FOREST SERVICE TR
   Rebeck G., TWIN CITIES BUSINESS
   Rutty M, 2015, J OUTDO RECREAT TOUR, V11, P13, DOI 10.1016/j.jort.2015.07.002
   Sharifi A, 2016, RENEW SUST ENERG REV, V60, P1654, DOI 10.1016/j.rser.2016.03.028
   Smith JW, 2016, ECOL ECON, V123, P1, DOI 10.1016/j.ecolecon.2015.12.010
   Smith M., 2007, Action research", the encyclopedia of informal education
   Smith M.K., 1996, ACTION RES ENCY INFO
   Smith M.K., 2001, "Action research," the encyclopedia of informal education
   Stockholm Resilience Center, WHAT IS RES INTR POP
   Strauch RL, 2015, CLIMATIC CHANGE, V130, P185, DOI 10.1007/s10584-015-1357-7
   Stringer E., 1999, ACTION RES-LONDON, V2nd
   Thomas D. S. K., 2013, JOURNAL OF PARK RECR, V8, DOI 10.1088/1748-9326/8/4/044004
   United States Census Bureau, CIT TOWN POP TOT TAB
   Venette R.C., 2010, P BLACK ASH S BEM MN
   WDIO, TRAIL BIK MECC
   White EM., 2016, FEDERAL OUTDOOR RECR
   Wobus C, 2017, GLOBAL ENVIRON CHANG, V45, P1, DOI 10.1016/j.gloenvcha.2017.04.006
NR 74
TC 8
Z9 9
U1 2
U2 42
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD NOV
PY 2019
VL 11
IS 22
AR 6268
DI 10.3390/su11226268
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 JW8DR
UT WOS:000503277900081
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Wissman-Weber, NK
   Levy, DL
AF Wissman-Weber, Nichole K.
   Levy, David L.
TI Climate adaptation in the Anthropocene: Constructing and contesting
   urban risk regimes
SO ORGANIZATION
LA English
DT Article
DE Climate adaptation; climate risks; political economy; risk regime; urban
   regimes
ID CULTURAL-POLITICAL ECONOMY; ORGANIZATIONS; STRATEGIES; ENVIRONMENTALISM;
   EVOLUTION; DISASTER
AB The Anthropocene heralds a new era of heightened and unknown risks, particularly regarding the impacts of climate change. This article explores the initial phase of organizing for climate adaptation in Boston, Massachusetts, examining how multiple actors, including business, government, and community organization, are interacting as they attempt to comprehend, assess, and act on this issue. To understand this process of organizing, we develop the concept of risk regime' as a contingently stabilized system with governance, economic, and discursive dimensions. We draw from theories of risk, organizational resilience, and urban regimes and value regimes to develop the risk regime' framework, which provides a nuanced view of contestation, collaboration, and accommodation among actors with differential interests, knowledge, and influence on the process. We suggest how the character, evolution, and stabilization of the regime is influenced by competing imaginaries regarding, for example, the nature and manageability of risk, the need for radical change, and the role of markets versus regulations in addressing tensions between economic and sustainability goals. We demonstrate that the regime for adaptation has grown out of the organizational and discursive infrastructure for addressing climate mitigation, or carbon control, but that the unique character of adaptation presents different, and perhaps more difficult challenges.
C1 [Wissman-Weber, Nichole K.] Univ Massachusetts, Boston, MA 02125 USA.
   [Levy, David L.] Univ Massachusetts, Management, Boston, MA 02125 USA.
C3 University of Massachusetts System; University of Massachusetts Boston;
   University of Massachusetts System; University of Massachusetts Boston
RP Wissman-Weber, NK (corresponding author), Univ Massachusetts, Coll Management, 100 Morrissey Blvd, Boston, MA 02125 USA.
EM nichole.weber001@umb.edu
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]
   [Anonymous], IM BOST WAT ASS VIS
   [Anonymous], CLIM FIN SER INS CLI
   [Anonymous], 2014, BASICS QUALITATIVE R
   [Anonymous], HARVEY QUESTIONS WHO
   [Anonymous], J MANAGEMENT STUDIES
   [Anonymous], NORMAL ACCIDENTS
   [Anonymous], RET RES BUS CAS
   [Anonymous], CURR OPIN ENV SUST
   [Anonymous], RES BOST CONN EQ CIT
   [Anonymous], CLIM READ BOST EX SU
   [Anonymous], HUMAN RELATIONS
   [Anonymous], MOODYS COM
   [Anonymous], IS IMAGINE BOSTON 20
   [Anonymous], PERILS CLIMATE CHANG
   [Anonymous], 2002, Applied Social Research Methods Series
   Beamish TD, 2001, ORGAN ENVIRON, V14, P5, DOI 10.1177/1086026601141001
   Beck U, 1992, RISK SOC NEW MODERNI
   Beck U., 2007, World Risk Society
   Berkhout F, 2006, CLIMATIC CHANGE, V78, P135, DOI 10.1007/s10584-006-9089-3
   Berube Alan., 2016, City and Metropolitan Inequality on the Rise, Driven by Declining Incomes
   Böhm S, 2012, ORGAN STUD, V33, P1617, DOI 10.1177/0170840612463326
   Boin A., 2007, Journal of Contingencies and Crisis Management, V15, P50, DOI [10.1111/j.1468-5973.2007.00504.x, DOI 10.1111/J.1468-5973.2007.00504.X]
   Cable S, 2008, AM SOCIOL REV, V73, P380, DOI 10.1177/000312240807300302
   Clark N, 2014, SOCIOL REV, V62, P19, DOI 10.1111/1467-954X.12122
   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
   Gephart RP, 2009, ORGAN STUD, V30, P141, DOI 10.1177/0170840608101474
   Gephart RP, 2004, ORGAN ENVIRON, V17, P20, DOI 10.1177/1086026603262030
   Gittell JH, 2006, J APPL BEHAV SCI, V42, P300, DOI 10.1177/0021886306286466
   Hallegatte S, 2013, NAT CLIM CHANGE, V3, P802, DOI [10.1038/nclimate1979, 10.1038/NCLIMATE1979]
   HARDING A, 1994, URBAN AFF REV, V29, P356, DOI 10.1177/107808749402900302
   Hoffman AJ, 1999, ACAD MANAGE J, V42, P351, DOI 10.5465/257008
   Hoffman AJ, 2015, ORGAN ENVIRON, V28, P8, DOI 10.1177/1086026615575331
   Holt R, 2004, ORGANIZATION, V11, P251, DOI 10.1177/1350508404041615
   Jessop Bob, 2010, CRITICAL POLICY STUDIES, V3, P336, DOI [10.1080/19460171003619741, DOI 10.1080/19460171003619741]
   Johnson E, 2014, PROG HUM GEOG, V38, P439, DOI 10.1177/0309132513517065
   Kirshen P, 2008, CLIMATIC CHANGE, V86, P105, DOI 10.1007/s10584-007-9252-5
   Leveson N, 2009, ORGAN STUD, V30, P227, DOI 10.1177/0170840608101478
   Levy DL, 2013, ORGANIZATION, V20, P659, DOI 10.1177/1350508413489816
   Lidskog R., 2016, ENVIRON SOCIOL, V2, P307, DOI [10.1080/23251042.2016.1259865, DOI 10.1080/23251042.2016.1259865]
   Lindley SJ, 2006, J RISK RES, V9, P543, DOI 10.1080/13669870600798020
   Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708
   MacKenzie D, 2017, SOC STUD SCI, V47, P172, DOI 10.1177/0306312716676900
   MacKenzie D, 2009, ACCOUNT ORG SOC, V34, P440, DOI 10.1016/j.aos.2008.02.004
   Maguire S, 2013, ACAD MANAGE J, V56, P231, DOI 10.5465/amj.2010.0714
   Miles M. B., 1994, QUALITATIVE DATA ANA
   Moore JW, 2011, J PEASANT STUD, V38, P1, DOI 10.1080/03066150.2010.538579
   Mossberger K, 2001, URBAN AFF REV, V36, P810, DOI 10.1177/10780870122185109
   Nyberg D, 2016, ORGANIZATION, V23, P617, DOI 10.1177/1350508415572038
   Perkmann M, 2014, ORGAN SCI, V25, P1785, DOI 10.1287/orsc.2014.0916
   Podobnik Bruce., 2006, Global Energy Shifts: Fostering Sustainability in a Turbulent Age
   Schurman R, 2009, AM J SOCIOL, V115, P155, DOI 10.1086/597795
   Shepherd DA, 2014, J MANAGE STUD, V51, P952, DOI 10.1111/joms.12084
   Shi LD, 2016, NAT CLIM CHANGE, V6, P131, DOI 10.1038/NCLIMATE2841
   Steffen W, 2007, AMBIO, V36, P614, DOI 10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2
   STONE CN, 1993, J URBAN AFF, V15, P1, DOI 10.1111/j.1467-9906.1993.tb00300.x
   Taylor C, 2002, PUBLIC CULTURE, V14, P91, DOI 10.1215/08992363-14-1-91
   Topal C, 2009, ORGAN STUD, V30, P277, DOI 10.1177/0170840608101481
   Trenberth KE, 2015, NAT CLIM CHANGE, V5, P725, DOI 10.1038/NCLIMATE2657
   van der Vegt GS, 2015, ACAD MANAGE J, V58, P971, DOI 10.5465/amj.2015.4004
   White D., 2015, ENV NATURES SOCIAL T
   Whitehead M, 2013, URBAN STUD, V50, P1348, DOI 10.1177/0042098013480965
   Whiteman G, 2011, BUS STRATEG ENVIRON, V20, P251, DOI 10.1002/bse.691
NR 65
TC 20
Z9 21
U1 6
U2 36
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 1350-5084
EI 1461-7323
J9 ORGANIZATION
JI Organization
PD JUL
PY 2018
VL 25
IS 4
SI SI
BP 491
EP 516
DI 10.1177/1350508418775812
PG 26
WC Management
WE Social Science Citation Index (SSCI)
SC Business & Economics
GA GO0GZ
UT WOS:000439604800003
DA 2025-01-10
ER

PT J
AU Gang, CC
   Gao, XR
   Peng, SZ
   Chen, MX
   Guo, L
   Jin, JW
AF Gang, Chengcheng
   Gao, Xuerui
   Peng, Shouzhang
   Chen, Mingxun
   Guo, Liang
   Jin, Jingwei
TI Satellite Observations of the Recovery of Forests and Grasslands in
   Western China
SO JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
LA English
DT Article
DE Grain for Green Project (GGP); vegetation recovery; western China;
   satellite observation; grassland; forest
ID NET PRIMARY PRODUCTION; ECOLOGICAL RESTORATION PROJECTS; WATER-USE
   EFFICIENCY; US SANDY LAND; CLIMATE-CHANGE; LOESS PLATEAU; GREEN PROGRAM;
   PRIMARY PRODUCTIVITY; VEGETATION DYNAMICS; TEMPORAL PATTERNS
AB The Grain for Green Program (GGP), which combats and reverses the landscape-scale habitat degradation by converting agricultural lands to forests and grasslands, was launched in 1999 in western China. An assessment of the extent to which the GGP has altered the vegetation cover and ecological functions in these regions is much needed. The present study initially analyzed land use and cover change of forests and grasslands over western China between 2000 and 2015. A variety of satellite-based ecological indicators, including net primary productivity, normalized difference vegetation index, leaf area index, carbon use efficiency, and water use efficiency, were used to reflect the biophysical consequences of the GGP in western China. Results indicated that the spatial extent of forests and grasslands increased by 13.97 x 10(3) and 11.13 x 10(3) km(2), respectively, which were mainly converted from deserts and croplands. The ecosystem functions of forests and grasslands showed an asymmetric response in northwestern and southwestern China. The normalized difference vegetation index and water use efficiency of forests, as well as the net primary productivity and water use efficiency of grasslands, increased significantly over this period. The GGP also has led to an increase in leaf area index and carbon use efficiency of forests and grasslands. The Loess Plateau and the Three Rivers Source area represent the most effectively recovered regions in western China. Rising precipitation rates have contributed to vegetation recovery to some extent, especially in northwestern China, whereas the GGP was the prominent reason for the improvement of ecosystem functions across the entire region of western China.
   Plain Language Summary Land degradation has caused severe environmental problems in many areas worldwide and severely restrains the sustainable development of numerous local economies. Land degradation also undermines the livelihoods and food security of people, especially in the economically underprivileged regions. Western China has experienced land degradation because of both its geological location and climatic conditions. To combat and mitigate this situation, the Chinese government implemented a series of national-scale ecological policies and programs during the late 1990s and early 2000s. Nearly 20 years have passed since the implementation of these projects. Therefore, it is appropriate to comprehensively assess the biophysical consequences of these programs. The present study aims to evaluate the extent to which the vegetation of western China recovered during the 2000-2015 period based on a variety of remotely sensed data streams. Results indicated that the spatial extent of forests and grasslands have expanded. The ecosystem functions of forests and grasslands showed an asymmetric response in the southwest and northwest regions of western China. These findings may provide guidelines for government agencies and policy makers involved in initiating adaptation strategies designed to adapt to climate change and to manage vegetation production.
C1 [Gang, Chengcheng; Gao, Xuerui; Peng, Shouzhang; Guo, Liang; Jin, Jingwei] Northwest A&F Univ, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China.
   [Gang, Chengcheng; Gao, Xuerui; Peng, Shouzhang; Guo, Liang; Jin, Jingwei] Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China.
   [Gang, Chengcheng] Auburn Univ, Int Ctr Climate & Global Change Res, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA.
   [Chen, Mingxun] Northwest A&F Univ, Coll Agron, Yangling, Shaanxi, Peoples R China.
C3 Northwest A&F University - China; Chinese Academy of Sciences; Institute
   of Soil & Water Conservation (ISWC), CAS; Chinese Academy of Sciences;
   Institute of Soil & Water Conservation (ISWC), CAS; Ministry of Water
   Resources; Auburn University System; Auburn University; Northwest A&F
   University - China
RP Gang, CC (corresponding author), Northwest A&F Univ, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China.; Gang, CC (corresponding author), Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Yangling, Shaanxi, Peoples R China.; Gang, CC (corresponding author), Auburn Univ, Int Ctr Climate & Global Change Res, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USA.
EM gangcc@ms.iswc.ac.cn
RI Jin, Jingwei/AAC-3738-2021; Gang, Chengcheng/Z-4286-2019
OI Peng, Shouzhang/0000-0002-2358-6329; Gang,
   Chengcheng/0000-0002-2804-5636
FU National Natural Science Foundation of China [31602004]; National Key
   Research and Development Program of China [2016YFC0501707]; CAS "Light
   of West China" program [XAB2016B05]; Special Foundation for State Basic
   Research Program of China [2014YF210100]; Key Cultivation Project of
   Chinese Academy of Sciences "The promotion and management of ecosystem
   functions of restored vegetation in Loess Plateau, China"; Fundamental
   Research Funds for the Central Universities [2452017184]
FX This work was supported by the National Natural Science Foundation of
   China (grant 31602004), the National Key Research and Development
   Program of China (grant 2016YFC0501707), the CAS "Light of West China"
   program (grant XAB2016B05), the Special Foundation for State Basic
   Research Program of China (grant 2014YF210100), the Key Cultivation
   Project of Chinese Academy of Sciences "The promotion and management of
   ecosystem functions of restored vegetation in Loess Plateau, China," and
   the Fundamental Research Funds for the Central Universities (grant
   2452017184). We thank Prof. Hanqin Tian for his guidance on this paper.
   We also appreciate the China Meteorological Data Service Center, the ESA
   CCI Land Cover project, and the NTSG for sharing data set. All the data
   used in the paper are publicity accessed through the website provided in
   the main text.
CR Andersson E, 2011, ANNU REV ENV RESOUR, V36, P295, DOI 10.1146/annurev-environ-033110-092827
   [Anonymous], 2017, ESA LAND COV CCI PRO
   Bai ZG, 2008, SOIL USE MANAGE, V24, P223, DOI 10.1111/j.1475-2743.2008.00169.x
   Barrow CJ., 1991, LAND DEGRADATION DEV
   Beer C, 2010, SCIENCE, V329, P834, DOI 10.1126/science.1184984
   Bontemps S, 2015, INT ARCH PHOTOGRAMM, V47, P323, DOI 10.5194/isprsarchives-XL-7-W3-323-2015
   Bontemps S., 2013, P ESA LIVING PLANET, V13, P9
   Brandt M, 2018, EARTHS FUTURE, V6, P1017, DOI 10.1029/2018EF000890
   Cao SX, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa650c
   Cao SX, 2011, EARTH-SCI REV, V104, P240, DOI 10.1016/j.earscirev.2010.11.002
   Chen YP, 2015, NAT GEOSCI, V8, P739, DOI 10.1038/ngeo2544
   Cheng J. M., 1995, ACTA PRATACULT SCI, V4, P17
   Delang C.O., 2015, CHINAS GRAIN GREEN P, DOI [10.1007/978-3-319-11505-4, DOI 10.1007/978-3-319-11505-4]
   Deng F, 2006, IEEE T GEOSCI REMOTE, V44, P2219, DOI 10.1109/TGRS.2006.872100
   Deng L, 2017, GLOBAL ENVIRON CHANG, V47, P13, DOI 10.1016/j.gloenvcha.2017.09.006
   Deng L, 2014, GLOBAL CHANGE BIOL, V20, P3544, DOI 10.1111/gcb.12508
   Dillaway DN, 2014, GLOBAL CHANGE BIOL, V20, P908, DOI 10.1111/gcb.12427
   Ding Y., 2002, ASSESSMENT ENV EVOLU
   Duveiller G, 2018, SCI DATA, V5, DOI 10.1038/sdata.2018.14
   Feng XM, 2016, NAT CLIM CHANGE, V6, P1019, DOI [10.1038/NCLIMATE3092, 10.1038/nclimate3092]
   Feng XM, 2013, SCI REP-UK, V3, DOI 10.1038/srep02846
   Gang CC, 2018, SCI TOTAL ENVIRON, V645, P827, DOI 10.1016/j.scitotenv.2018.07.161
   Gang CC, 2016, ECOL INDIC, V67, P788, DOI 10.1016/j.ecolind.2016.03.049
   Gao J, 2010, INT J APPL EARTH OBS, V12, P9, DOI 10.1016/j.jag.2009.08.003
   Gibbs HK, 2015, APPL GEOGR, V57, P12, DOI 10.1016/j.apgeog.2014.11.024
   Gu X., 2016, GREEN BOOK REMOTE SE
   He LM, 2018, GEOPHYS RES LETT, V45, P5052, DOI 10.1029/2018GL077560
   Hilker T, 2012, REMOTE SENS ENVIRON, V127, P370, DOI 10.1016/j.rse.2012.08.035
   Karnieli A, 2014, REMOTE SENS-BASEL, V6, P9316, DOI 10.3390/rs6109316
   Kendall M.G., 1990, BRIT J PSYCHOL, V25, P86, DOI [10.2307/2333282, DOI 10.2307/2333282]
   Kuppel S, 2017, ADV WATER RESOUR, V102, P178, DOI 10.1016/j.advwatres.2017.01.004
   Le QB., 2016, EC LAND DEGRADATION, P55, DOI [10.1007/978-3-319-19168-34, DOI 10.1007/978-3-319-19168-34]
   Li W., 2000, SCI SILVAE SIN, P10
   Li W, 2018, EARTH SYST SCI DATA, V10, P219, DOI 10.5194/essd-10-219-2018
   Li YR, 2017, J CLEAN PROD, V142, P697, DOI 10.1016/j.jclepro.2016.09.011
   Liang W, 2015, AGR FOREST METEOROL, V204, P22, DOI 10.1016/j.agrformet.2015.01.015
   Liu D, 2014, LANDSCAPE ECOL, V29, P1675, DOI 10.1007/s10980-014-0081-4
   Liu G., 2009, METEOROLOGICAL ENV S, V32, P69
   Liu MZ, 2004, ENVIRON CONSERV, V31, P269, DOI 10.1017/S0376892904001675
   Liu XF, 2016, J GEOGR SCI, V26, P45, DOI 10.1007/s11442-016-1253-8
   Liu XF, 2014, J GEOGR SCI, V24, P288, DOI 10.1007/s11442-014-1088-0
   Liu Y, 2012, J GEOPHYS RES-BIOGEO, V117, DOI 10.1029/2012JG002084
   Lü YH, 2015, SCI REP-UK, V5, DOI 10.1038/srep08732
   Lyapustin A, 2014, ATMOS MEAS TECH, V7, P4353, DOI 10.5194/amt-7-4353-2014
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   MONTEITH JL, 1972, J APPL ECOL, V9, P747, DOI 10.2307/2401901
   Moore JC, 2016, EARTHS FUTURE, V4, P588, DOI 10.1002/2016EF000402
   Mu Q, 2007, REMOTE SENS ENVIRON, V111, P519, DOI 10.1016/j.rse.2007.04.015
   Mu QZ, 2011, REMOTE SENS ENVIRON, V115, P1781, DOI 10.1016/j.rse.2011.02.019
   Mu SJ, 2013, GLOBAL PLANET CHANGE, V108, P29, DOI 10.1016/j.gloplacha.2013.06.007
   Myneni RB, 2002, REMOTE SENS ENVIRON, V83, P214, DOI 10.1016/S0034-4257(02)00074-3
   Pang GJ, 2017, QUATERN INT, V444, P87, DOI 10.1016/j.quaint.2016.08.038
   Peng SS, 2013, NATURE, V501, P88, DOI 10.1038/nature12434
   Piao SL, 2006, CLIMATIC CHANGE, V74, P253, DOI 10.1007/s10584-005-6339-8
   Piao SL, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2004GL021764
   Running SW, 2004, BIOSCIENCE, V54, P547, DOI 10.1641/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2
   Shao QQ, 2017, J GEOGR SCI, V27, P183, DOI 10.1007/s11442-017-1371-y
   Shi YF, 2007, CLIMATIC CHANGE, V80, P379, DOI 10.1007/s10584-006-9121-7
   Sun R, 2001, J GEOGRAPH SCI, V11, P14, DOI DOI 10.1007/BF02837372
   Sun WY, 2015, AGR FOREST METEOROL, V209, P87, DOI 10.1016/j.agrformet.2015.05.002
   Taddese G, 2001, ENVIRON MANAGE, V27, P815, DOI 10.1007/s002670010190
   Tessema ZK, 2011, J ARID ENVIRON, V75, P662, DOI 10.1016/j.jaridenv.2011.02.004
   Tian HQ, 2011, GLOBAL BIOGEOCHEM CY, V25, DOI 10.1029/2010GB003838
   Tong XW, 2017, INT J APPL EARTH OBS, V54, P105, DOI 10.1016/j.jag.2016.09.013
   Wang XH, 2007, LAND USE POLICY, V24, P417, DOI 10.1016/j.landusepol.2006.05.005
   Xiao JF, 2004, INT J REMOTE SENS, V25, P5669, DOI 10.1080/01431160410001735094
   Xiao JF, 2014, J GEOPHYS RES-BIOGEO, V119, P2261, DOI 10.1002/2014JG002820
   Xu HJ, 2016, ECOL ENG, V92, P251, DOI 10.1016/j.ecoleng.2016.04.005
   Xu ZX, 2004, WATER RESOUR MANAG, V18, P439, DOI 10.1023/B:WARM.0000049142.95583.98
   Yang HF, 2014, CATENA, V115, P85, DOI 10.1016/j.catena.2013.11.020
   Yang YK, 2017, ISPRS J PHOTOGRAMM, V125, P156, DOI 10.1016/j.isprsjprs.2017.01.016
   Yuan WP, 2014, REMOTE SENS LETT, V5, P221, DOI 10.1080/2150704X.2014.894655
   Yue S, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000861
   Zhang J, 2015, BIODATA MIN, V8, DOI 10.1186/s13040-014-0031-3
   Zhang L, 2014, ENVIRON EARTH SCI, V72, P1827, DOI 10.1007/s12665-014-3092-1
   Zhang T, 2016, SCI TOTAL ENVIRON, V565, P105, DOI 10.1016/j.scitotenv.2016.04.126
   Zhang XC, 2005, AGR FOREST METEOROL, V131, P127, DOI 10.1016/j.agrformet.2005.05.005
   Zhang YJ, 2014, GLOBAL ECOL BIOGEOGR, V23, P144, DOI 10.1111/geb.12086
   Zhao AZ, 2018, THEOR APPL CLIMATOL, V132, P555, DOI 10.1007/s00704-017-2107-8
   Zhao GJ, 2013, LAND DEGRAD DEV, V24, P499, DOI 10.1002/ldr.2246
   Zhao HD, 2015, RANGELAND J, V37, P77, DOI 10.1071/RJ14061
   Zhao M, 2006, J GEOPHYS RES-BIOGEO, V111, DOI 10.1029/2004JG000004
   Zhao MS, 2005, REMOTE SENS ENVIRON, V95, P164, DOI 10.1016/j.rse.2004.12.011
   Zhou HJ, 2009, LAND USE POLICY, V26, P954, DOI 10.1016/j.landusepol.2008.11.006
NR 84
TC 20
Z9 24
U1 2
U2 75
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-8953
EI 2169-8961
J9 J GEOPHYS RES-BIOGEO
JI J. Geophys. Res.-Biogeosci.
PD JUL
PY 2019
VL 124
IS 7
BP 1905
EP 1922
DI 10.1029/2019JG005198
PG 18
WC Environmental Sciences; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Geology
GA IR4ZW
UT WOS:000481443800010
DA 2025-01-10
ER

PT J
AU Song, MM
   Zhang, JY
   Liu, YL
   Liu, CS
   Bao, ZX
   Jin, JL
   He, RM
   Bian, GD
   Wang, GQ
AF Song, Mingming
   Zhang, Jianyun
   Liu, Yanli
   Liu, Cuishan
   Bao, Zhenxin
   Jin, Junliang
   He, Ruimin
   Bian, Guodong
   Wang, Guoqing
TI Time-varying copula-based compound flood risk assessment of extreme
   rainfall and high water level under a non-stationary environment
SO JOURNAL OF FLOOD RISK MANAGEMENT
LA English
DT Article
DE changing environment; compound events; flood risk management;
   non-stationarity; time-varying copula; urbanized basin
ID FREQUENCY-ANALYSIS; CLIMATE-CHANGE; RETURN PERIOD; HAZARD;
   CONSTRUCTIONS; PROBABILITY; LIKELIHOOD; FRAMEWORK; DESIGN; MODELS
AB Quantifying flood risk depends on accurate probability estimation, which is challenging due to non-stationarity and the combined effects of multiple factors in a changing environment. The threat of compound flood risks may spread from coastal areas to inland basins, which have received less attention. In this study, a framework based on time-varying copulas was introduced for the treatment of compound flood risk and bivariate design in non-stationary environments. Archimedean copulas were developed to diagnose the non-stationary trends of flood risk. Return periods, average annual reliabilities, and bivariate designs were estimated. Model uncertainty was analyzed by comparing the results for stationary and non-stationary conditions. The case study investigated the extreme rainfall and water level series from the Qinhuai River Basin and the Yangtze River in China. The results showed that marginal distributions and correlations are non-stationary in all bivariate combinations. Ignoring composite effects may lead to inappropriate quantification of flood risk. Excluding non-stationarity may lead to risk over or underestimation. It showed the limitations of the 1-day scale and quantified the uncertainty of non-stationary models. This study provided a flood risk assessment framework in a changing environment and a risk-based design technique, which is essential for climate change adaptation and water management.
C1 [Song, Mingming] Zhejiang Univ Water Resources & Elect Power, Sch Geomat & Municipal Engn, Hangzhou, Peoples R China.
   [Song, Mingming; Zhang, Jianyun; Liu, Yanli; Liu, Cuishan; Bao, Zhenxin; Jin, Junliang; He, Ruimin; Bian, Guodong; Wang, Guoqing] Hohai Univ, Cooperat Innovat Ctr Water Safety & Hydro Sci, Nanjing, Peoples R China.
   [Song, Mingming; Zhang, Jianyun; Liu, Yanli; Liu, Cuishan; Bao, Zhenxin; Jin, Junliang; He, Ruimin; Bian, Guodong; Wang, Guoqing] Minist Water Resources, Res Ctr Climate Change, Nanjing, Peoples R China.
   [Zhang, Jianyun; Liu, Yanli; Liu, Cuishan; Bao, Zhenxin; Jin, Junliang; He, Ruimin; Bian, Guodong; Wang, Guoqing] Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing 210009, Peoples R China.
   [Zhang, Jianyun; Liu, Yanli; Liu, Cuishan; Bao, Zhenxin; Jin, Junliang; He, Ruimin; Bian, Guodong; Wang, Guoqing] Yangtze Inst Conservat & Dev, Nanjing, Peoples R China.
C3 Zhejiang University of Water Resources and Electric Power; Hohai
   University; Nanjing Hydraulic Research Institute
RP Wang, GQ (corresponding author), Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing 210009, Peoples R China.
EM gqwang@nhri.cn
RI Bao, Zhenxin/LWZ-8554-2024; WANG, GUOQING/AAP-8796-2020; zhang,
   jianyun/X-7292-2018
OI Wang, Guoqing/0000-0002-9121-9571
FU National Key Research and Development Programs of China
   [2022YFC3202301]; National Natural Science Foundation of China
   [U2240203, U2243228, U52121006]; Water Resources Science and Technology
   Program of Hunan Province [XSKJ2023059-06]; Open Competition Project of
   Inner Mongolia for Science and Technology Research [2023JBGS0007]; Belt
   and Road Science and Technology Fund on Water and Sustainability of the
   National Key Laboratory of Water Disaster Prevention [2022nkzd01]
FX National Key Research and Development Programs of China, Grant/Award
   Number: 2022YFC3202301; National Natural Science Foundation of
   China,Grant/Award Numbers: U2240203, U2243228, U52121006; Water
   Resources Science and Technology Program of Hunan Province, Grant/Award
   Number: XSKJ2023059-06; Open Competition Project of Inner Mongolia for
   Science and Technology Research, Grant/Award Number: 2023JBGS0007; The
   Belt and Road Science and Technology Fund on Water and Sustainability of
   the National Key Laboratory of Water Disaster Prevention, Grant/Award
   Number: 2022nkzd01
CR Aas K, 2009, INSUR MATH ECON, V44, P182, DOI 10.1016/j.insmatheco.2007.02.001
   AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
   Bevacqua E, 2020, COMMUN EARTH ENVIRON, V1, DOI 10.1038/s43247-020-00044-z
   Bevacqua E, 2017, HYDROL EARTH SYST SC, V21, P2701, DOI 10.5194/hess-21-2701-2017
   Blöschl G, 2017, SCIENCE, V357, P588, DOI 10.1126/science.aan2506
   Cong Jiang, 2015, Hydrological Processes, V29, P1521, DOI 10.1002/hyp.10288
   Fang J., 2020, HYDROLOGY EARTH SYST, P1, DOI [DOI 10.5194/HESS-2020-377, 10.5194/hess-2020-377]
   [方佳毅 Fang Jiayi], 2021, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V17, P317
   Fang W., 2020, ASSESSING TIMEVARYIN
   Feng JL, 2023, J HYDROL, V627, DOI 10.1016/j.jhydrol.2023.130402
   Feng Y, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-60264-3
   Ganguli P, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-49822-6
   Gao L, 2023, J HYDROL, V625, DOI 10.1016/j.jhydrol.2023.130044
   Gao T, 2022, WATER RESOUR MANAG, V36, P2411, DOI 10.1007/s11269-022-03150-z
   [高玉琴 Gao Yuqin], 2018, [水资源与水工程学报, Journal of Water Resources and Water Engineering], V29, P172
   Genest C, 2006, SCAND J STAT, V33, P337, DOI 10.1111/j.1467-9469.2006.00470.x
   Gilroy KL, 2012, J HYDROL, V414, P40, DOI 10.1016/j.jhydrol.2011.10.009
   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]
   Jiang C, 2019, HYDROL EARTH SYST SC, V23, P1683, DOI 10.5194/hess-23-1683-2019
   Ju XP, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126864
   Kendall M. G., 1948, Rank correlation methods.
   Kundzewicz ZW, 2018, HYDROL RES, V49, P294, DOI 10.2166/nh.2017.016
   Li HS, 2019, J HYDROL, V571, P114, DOI 10.1016/j.jhydrol.2019.01.054
   Liang Z. M., 2018, SOUTHTONORTH WATER T, V14, P50
   López J, 2013, HYDROL EARTH SYST SC, V17, P3189, DOI 10.5194/hess-17-3189-2013
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Marcos M, 2019, GEOPHYS RES LETT, V46, P4356, DOI 10.1029/2019GL082599
   MASSEY FJ, 1951, J AM STAT ASSOC, V46, P68, DOI 10.2307/2280095
   Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915
   Mitu MF, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130278
   Moftakhari HR, 2017, P NATL ACAD SCI USA, V114, P9785, DOI 10.1073/pnas.1620325114
   Naderi K, 2022, WATER RESOUR MANAG, V36, P2865, DOI 10.1007/s11269-022-03186-1
   Nasr AA, 2023, WEATHER CLIM EXTREME, V41, DOI 10.1016/j.wace.2023.100594
   Nelsen R. B., 2006, INTRO COPULAS
   Read LK, 2015, WATER RESOUR RES, V51, P6381, DOI 10.1002/2015WR017089
   Ridder NN, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-19639-3
   Rigby RA, 2005, J ROY STAT SOC C, V54, P507, DOI 10.1111/j.1467-9876.2005.00510.x
   Rui X. F., 1995, WATER RESOURCES HYDR, V11, P39
   Salas JD, 2014, J HYDROL ENG, V19, P554, DOI 10.1061/(ASCE)HE.1943-5584.0000820
   Salvadori G, 2016, WATER RESOUR RES, V52, P3701, DOI 10.1002/2015WR017225
   Salvadori G, 2011, HYDROL EARTH SYST SC, V15, P3293, DOI 10.5194/hess-15-3293-2011
   Salvadori G, 2018, WATER-SUI, V10, DOI 10.3390/w10060751
   Song MM, 2020, HYDROL RES, V51, P1521, DOI 10.2166/nh.2020.110
   Strupczewski WG, 2001, J HYDROL, V248, P123, DOI 10.1016/S0022-1694(01)00397-3
   Tanim AH, 2024, J HYDROL, V630, DOI 10.1016/j.jhydrol.2024.130691
   Villarini G, 2012, INT J CLIMATOL, V32, P1178, DOI 10.1002/joc.2331
   Villarini G, 2010, ADV WATER RESOUR, V33, P1256, DOI 10.1016/j.advwatres.2010.03.013
   Vogel RM, 2013, NAT HAZARD EARTH SYS, V13, P1773, DOI 10.5194/nhess-13-1773-2013
   Wahl T, 2015, NAT CLIM CHANGE, V5, P1093, DOI [10.1038/nclimate2736, 10.1038/NCLIMATE2736]
   Wang YX, 2022, WATER RESOUR MANAG, V36, P2433, DOI 10.1007/s11269-022-03151-y
   Wei Q, 2017, HYDROL RES, V48, P1058, DOI 10.2166/nh.2016.142
   Wen TF, 2019, WATER-SUI, V11, DOI 10.3390/w11040746
   Wu WY, 2021, HYDROL EARTH SYST SC, V25, P2821, DOI 10.5194/hess-25-2821-2021
   Xiong B, 2020, WATER RESOUR RES, V56, DOI 10.1029/2020WR027112
   Xiong LH, 2015, WATER RESOUR RES, V51, P8198, DOI 10.1002/2015WR017677
   Xu HS, 2019, STOCH ENV RES RISK A, V33, P1249, DOI 10.1007/s00477-019-01695-x
   Xu PC, 2022, J HYDROL ENG, V27, DOI 10.1061/(ASCE)HE.1943-5584.0002145
   [闫宝伟 Yan Baowei], 2013, [水力发电学报, Journal of Hydroelectric Engineering], V32, P50
   Yuan J, 2024, J HYDROL, V630, DOI 10.1016/j.jhydrol.2024.130716
   Zeng ZY, 2024, SCI TOTAL ENVIRON, V911, DOI 10.1016/j.scitotenv.2023.168799
   Zhong M, 2024, J HYDROL, V628, DOI 10.1016/j.jhydrol.2023.130475
   Zhong M, 2021, WATER RESOUR MANAG, V35, P83, DOI 10.1007/s11269-020-02709-y
   Zhuang YC, 2023, J HYDROL, V627, DOI 10.1016/j.jhydrol.2023.130474
   Zscheischler J, 2018, NAT CLIM CHANGE, V8, P469, DOI 10.1038/s41558-018-0156-3
NR 64
TC 0
Z9 0
U1 20
U2 20
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 DEC
PY 2024
VL 17
IS 4
DI 10.1111/jfr3.13032
EA AUG 2024
PG 22
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA L6O4B
UT WOS:001297452000001
OA gold
DA 2025-01-10
ER

PT J
AU Zhang, MY
   Gu, WC
   Yang, DY
   Ruan, YC
AF Zhang, Mingyu
   Gu, Weicheng
   Yang, Dongye
   Ruan, Yichen
TI Influence of multilevel governance on land use change in China's rapidly
   urbanizing metropolitan from low-carbon perspective
SO ENVIRONMENTAL AND SUSTAINABILITY INDICATORS
LA English
DT Article
DE Multilevel governance; Land use change; Low-carbon development; Rapidly
   urbanizing metropolitan
ID CLIMATE-CHANGE ADAPTATION; EMISSIONS; POLITICS; CITY; CITIES
AB Low-carbon oriented land use change is crucial to tackling climate change issues in rapidly urbanizing metropolitans. Previous studies lacked to consider how the cross-level interaction within multilevel governance of metropolitan areas affect the land use change. In order to simulate multilevel governance interaction, this study proposes a land use simulation model, facilitating a comparative analysis of simulated results under different scenarios. Taking Hangzhou as the empirical study area, the results show that the predicted scale of construction land with high carbon emissions is smallest in interactive governance scenario. Its overall low-carbon performance of land use is the best among all scenarios, with a Polycentric Degree of 0.7856 (N = 4) and 0.9142 (N = 6), and Cohesion Degree and Land-Use Degree Index are 101.8320 and 101.7944 respectively. This study revealed that the interactive governance effectively curbs the growth of land with high-carbon emissions, promoting the spatial carbon efficiency and the low-carbon oriented spatial layout. Multi-level governance provides a framework for effective implantation of low-carbon oriented land use change objective and plays an important role in promoting its low-carbon performance. This study innovatively incorporates governance parameters into the land use prediction model, providing guidance for optimizing land use governance in metropolitan areas.
C1 [Zhang, Mingyu; Gu, Weicheng] Zhejiang Univ, Dept Reg & Urban Planning, 866 Yuhangtang Rd, Hangzhou 310030, Peoples R China.
   [Zhang, Mingyu] Zhejiang Univ Co Ltd, Architectural Design & Res Inst, 148 Tianmushan Rd, Hangzhou 310028, Peoples R China.
   [Yang, Dongye] Zhejiang Huanneng Environm Technol Co Ltd, Hangzhou 310012, Peoples R China.
   [Ruan, Yichen] Hangzhou City Univ, Sch Spatial Planning & Design, 51 Huzhou St, Hangzhou 310015, Peoples R China.
   [Ruan, Yichen] Zhejiang Univ, Ctr Balance Architecture, 148 Tianmushan Rd, Hangzhou 310028, Peoples R China.
C3 Zhejiang University; Hangzhou City University; Zhejiang University
RP Ruan, YC (corresponding author), Hangzhou City Univ, Sch Spatial Planning & Design, 51 Huzhou St, Hangzhou 310015, Peoples R China.
EM ruanyc@hzcu.edu.cn
RI Zhang, Mingyu/ABJ-0185-2022
OI ruan, yichen/0009-0004-3178-1521
FU Center for Balance Architecture, Zhejiang University, China
FX <BOLD>Funding</BOLD> This work was supported by the Center for Balance
   Architecture, Zhejiang University, China.
CR Ameyaw PD, 2020, LAND-BASEL, V9, DOI 10.3390/land9120491
   Bulkeley H, 2005, ENVIRON POLIT, V14, P42, DOI 10.1080/0964401042000310178
   Cai BF, 2017, J CLEAN PROD, V149, P502, DOI 10.1016/j.jclepro.2017.02.122
   Chen JD, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-00736-3
   Chuai XW, 2015, J CLEAN PROD, V103, P77, DOI 10.1016/j.jclepro.2014.03.046
   Das S, 2019, SPAT INF RES, V27, P439, DOI 10.1007/s41324-019-00251-7
   Dong Y, 2020, J CLEAN PROD, V270, DOI 10.1016/j.jclepro.2020.122547
   Falahatkar S, 2020, REMOTE SENS APPL, V18, DOI 10.1016/j.rsase.2020.100317
   Fang DL, 2017, J CLEAN PROD, V163, pS392, DOI 10.1016/j.jclepro.2015.10.122
   Fang L, 2020, LANDSCAPE URBAN PLAN, V195, DOI 10.1016/j.landurbplan.2019.103727
   Geoghegan J, 2010, REG ENVIRON CHANGE, V10, P247, DOI 10.1007/s10113-010-0111-y
   Goldewijk K. K., 2004, GeoJournal, V61, P335, DOI 10.1007/s10708-004-5050-z
   Gruby RL, 2013, ENVIRON SCI POLICY, V33, P260, DOI 10.1016/j.envsci.2013.06.006
   Han WJ, 2020, LAND USE POLICY, V92, DOI 10.1016/j.landusepol.2019.104432
   Hanssen GS, 2013, LOCAL ENVIRON, V18, P869, DOI 10.1080/13549839.2012.738657
   Houghton RA, 1999, TELLUS B, V51, P298, DOI 10.1034/j.1600-0889.1999.00013.x
   Huang HZ, 2024, ECOL INDIC, V158, DOI 10.1016/j.ecolind.2023.111508
   [黄伊婧 Huang Yijing], 2024, [自然资源学报, Journal of Natural Resources], V39, P823
   Jia JS, 2023, ENERGY STRATEG REV, V49, DOI 10.1016/j.esr.2023.101141
   Juhola S, 2016, INT J CLIM CHANG STR, V8, P338, DOI 10.1108/IJCCSM-03-2014-0030
   Kang JF, 2019, ISPRS INT J GEO-INF, V8, DOI 10.3390/ijgi8100454
   Khan J, 2013, J CLEAN PROD, V50, P133, DOI 10.1016/j.jclepro.2012.11.045
   Lai L, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1601063
   Lin QW, 2021, LAND-BASEL, V10, DOI 10.3390/land10020141
   Liu ST, 2023, LAND-BASEL, V12, DOI 10.3390/land12061220
   Liu X, 2022, CITIES, V123, DOI 10.1016/j.cities.2022.103582
   Liu YS, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2021.105288
   Liu YS, 2018, LAND USE POLICY, V74, P261, DOI 10.1016/j.landusepol.2017.03.030
   Liu Y, 2021, LAND USE POLICY, V111, DOI 10.1016/j.landusepol.2021.105747
   Ma WT, 2021, J CLEAN PROD, V282, DOI 10.1016/j.jclepro.2020.125399
   Piattoni Simona., 2009, EUROPEAN INTEGRATION, V31, P163, DOI [10.1080/07036330802642755, DOI 10.1080/07036330802642755]
   Piketty MG, 2015, FORESTS, V6, P1516, DOI 10.3390/f6051516
   Qian L, 2023, SCI TOTAL ENVIRON, V903, DOI 10.1016/j.scitotenv.2023.166123
   Sakawa M, 2000, FUZZY SET SYST, V109, P3, DOI 10.1002/(SICI)1520-6440(200006)83:6<1::AID-ECJC1>3.0.CO;2-5
   Sha W, 2020, J ENVIRON SCI, V96, P33, DOI 10.1016/j.jes.2020.04.025
   Shaw K, 2004, ENVIRON POLIT, V13, P373, DOI 10.1080/0964401042000209621
   Shunfa H, 2022, ECOL INDIC, V144, DOI 10.1016/j.ecolind.2022.109456
   Sun B, 2021, CITIES, V119, DOI 10.1016/j.cities.2021.103405
   Tan S, 2017, APPL ENERG, V185, P1919, DOI 10.1016/j.apenergy.2016.03.041
   Tang H, 2022, J INTERCONNECT NETW, V22, DOI 10.1142/S0219265921460087
   Tu Y, 2021, LANDSCAPE ECOL, V36, P243, DOI 10.1007/s10980-020-01137-y
   Wang GZ, 2019, J ENVIRON MANAGE, V247, P413, DOI 10.1016/j.jenvman.2019.06.064
   Wang K, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14194751
   Wang Q, 2022, ECOL ENG, V182, DOI 10.1016/j.ecoleng.2022.106716
   Wang XY, 2023, SUSTAIN CITIES SOC, V90, DOI 10.1016/j.scs.2022.104381
   Wen SY, 2022, J CLEAN PROD, V346, DOI 10.1016/j.jclepro.2022.131131
   Wu R, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.989747
   Wu ZL, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8080720
   Xia CY, 2023, ECOL INDIC, V146, DOI 10.1016/j.ecolind.2023.109902
   Yang B, 2020, J CLEAN PROD, V274, DOI 10.1016/j.jclepro.2020.123076
   Yang J, 2019, GISCI REMOTE SENS, V56, P388, DOI 10.1080/15481603.2018.1533680
   Zhang JF, 2020, J CLEAN PROD, V271, DOI 10.1016/j.jclepro.2020.122429
   Zhang RS, 2018, LAND USE POLICY, V74, P32, DOI 10.1016/j.landusepol.2017.04.025
   Zhang WJ, 2017, LAND USE POLICY, V63, P493, DOI 10.1016/j.landusepol.2017.02.006
   Zhang X, 2023, J CLEAN PROD, V430, DOI 10.1016/j.jclepro.2023.139684
   Zhao ZY, 2019, J CLEAN PROD, V234, P743, DOI 10.1016/j.jclepro.2019.06.116
   Zheng Y, 2023, ECOL INDIC, V154, DOI 10.1016/j.ecolind.2023.110558
   Zhong TY, 2017, ENVIRON PLAN C-POLIT, V35, P1075, DOI 10.1177/0263774X16682958
   Zou C, 2022, SUSTAIN CITIES SOC, V83, DOI 10.1016/j.scs.2022.103954
NR 59
TC 0
Z9 0
U1 12
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2665-9727
J9 ENVIRON SUSTAIN IND
JI Environ. Sustain. Indic.
PD SEP
PY 2024
VL 23
AR 100450
DI 10.1016/j.indic.2024.100450
EA AUG 2024
PG 12
WC Environmental Sciences; Environmental Studies
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology
GA C8I4Z
UT WOS:001291749900001
OA gold
DA 2025-01-10
ER

PT J
AU Buffa, DC
   Thompson, KET
   Reijerkerk, D
   Brittain, S
   Manahira, G
   Samba, R
   Lahiniriko, F
   Marius, CJB
   Augustin, JY
   Tsitohery, JRF
   Razafy, RM
   Leonce, H
   Rasolondrainy, T
   Douglass, K
AF Buffa, Danielle C.
   Thompson, Katharine E. T.
   Reijerkerk, Dana
   Brittain, Stephanie
   Manahira, George
   Samba, Roger
   Lahiniriko, Francois
   Brenah Marius, Clovis Jean
   Augustin, Jean Yves
   Tsitohery, Justome Ricky Francois
   Razafy, Roi Magnefa
   Leonce, Harison
   Rasolondrainy, Tanambelo
   Douglass, Kristina
TI Understanding constraints to adaptation using a community-centred
   toolkit
SO PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
LA English
DT Article
DE adaptive capacity; natural resource use; ecosystem management;
   vulnerability; Madagascar
ID CLIMATE-CHANGE; FISHERIES MANAGEMENT; PROTECTED AREAS; FOOD SECURITY;
   BIODIVERSITY; CONSERVATION; COPRODUCTION; SCIENCE; POLICY; SOVEREIGNTY
AB Worldwide, marginalized and low-income communities will disproportionately suffer climate change impacts while also retaining the least political power to mitigate their consequences. To adapt to environmental shocks, communities must balance intensifying natural resource consumption with the need to ensure the sustainability of ecosystem provisioning services. Thus, scientists have long been providing policy recommendations that seek to balance humanitarian needs with the best outcomes for the conservation of ecosystems and wildlife. However, many conservation and development practitioners from biological backgrounds receive minimal training in either social research methods or participatory project design. Without a clear understanding of the sociocultural factors shaping decision-making, their initiatives may fail to meet their goals, even when communities support proposed initiatives. This paper explores the underlying assumptions of a community's agency, or its ability to develop and enact preferred resilience-enhancing adaptations. We present a context-adaptable toolkit to assess community agency, identify barriers to adaptation, and survey perceptions of behaviour change around natural resource conservation and alternative food acquisition strategies. This tool draws on public health and ecology methods to facilitate conversations between community members, practitioners and scientists. We then provide insights from the toolkit's collaborative development and pilot testing with Vezo fishing communities in southwestern Madagascar.This article is part of the theme issue 'Climate change adaptation needs a science of culture'.
C1 [Buffa, Danielle C.; Thompson, Katharine E. T.] Penn State Univ, 312 Carpenter Bldg, University Pk, PA 16802 USA.
   [Thompson, Katharine E. T.; Douglass, Kristina] Columbia Univ, Climate Sch, Hogan Hall,2910 Broadway, New York, NY 10025 USA.
   [Thompson, Katharine E. T.] SUNY Stony Brook, Dept Anthropol, 101 Circle Rd,SBS Bldg S-501, Stony Brook, NY 11794 USA.
   [Reijerkerk, Dana] Stony Brook Univ Lib, 100 Nicolls Rd, Stony Brook, NY 11794 USA.
   [Brittain, Stephanie] Univ Oxford, Interdisciplinary Ctr Conservat Sci, Dept Biol, 11a Mansfield Rd, Oxford OX1 3SZ, Oxon, England.
   [Manahira, George; Samba, Roger; Lahiniriko, Francois; Brenah Marius, Clovis Jean; Augustin, Jean Yves; Tsitohery, Justome Ricky Francois; Razafy, Roi Magnefa; Leonce, Harison; Douglass, Kristina] Morombe Archaeol Project, Commune De Befandefa 618, Ampamata Andava, Madagascar.
   [Rasolondrainy, Tanambelo] Univ Toliara, Ctr Documentat & Rech Art & Tradit Orales Madagasc, Toliara 601, Madagascar.
   [Douglass, Kristina] Smithsonian Inst, Natl Museum Nat Hist, Dept Vertebrate Zool, Div Birds, Washington, DC 20013 USA.
C3 Pennsylvania Commonwealth System of Higher Education (PCSHE);
   Pennsylvania State University; Pennsylvania State University -
   University Park; Columbia University; State University of New York
   (SUNY) System; Stony Brook University; University of Oxford; Smithsonian
   Institution; Smithsonian National Museum of Natural History
RP Buffa, DC (corresponding author), Penn State Univ, 312 Carpenter Bldg, University Pk, PA 16802 USA.
EM dcbuffa@psu.edu
RI Brittain, Stephanie/KIH-9039-2024
OI Buffa, Danielle/0000-0002-9478-8470; Reijerkerk,
   Dana/0000-0002-4516-6923; Thompson, Katharine/0000-0002-5892-536X;
   Brittain, Stephanie/0000-0002-7865-0391
FU We thank the Government of Madagascar and the President of Fokotany of
   Andavadoaka, Radafinely Eugene, for the permission to conduct research,
   along with CeDRATOM for facilitating this study. We thank the residents
   of Andavadoaka and the Commune de Befande; Government of Madagascar
FX We thank the Government of Madagascar and the President of Fokotany of
   Andavadoaka, Radafinely Eugene, for the permission to conduct research,
   along with CeDRATOM for facilitating this study. We thank the residents
   of Andavadoaka and the Commune de Befandefa for welcoming both us and
   our work, generously lending their brilliant ideas to the focus groups
   and interviews, and sharing their lives with us. Our work is both for
   and because of them. We thank Dr Joshua Cinner and Dr Michael Seid for
   graciously allowing us to adapt their existing frameworks and metrics
   (Social Adaptive Capacity and the Barriers to Care Questionnaire,
   respectively). We also thank Dr Sagan Friant, Dr Isabelle
   Holland-Lulewicz, and all members of the RISK and OBT Labs for their
   comments and discussions that helped shape this study. We thank the
   anonymous reviewers, the guest editors, and Commissioning Editor Alice
   Power whose constructive comments helped to improve this paper.
CR Abate RS, 2013, CLIMATE CHANGE AND INDIGENOUS PEOPLES: THE SEARCH FOR LEGAL REMEDIES, P3
   Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465
   Albright R, 2018, NATURE, V555, P516, DOI 10.1038/nature25968
   Angelstam P, 2021, AMBIO, V50, P2286, DOI 10.1007/s13280-021-01628-5
   [Anonymous], 2016, The politics of climate
   [Anonymous], 1951, Suicide: a study in sociology
   Asiedu B., 2013, INT J FISH AQUAT SCI, V2, P21
   Baker-Médard M, 2017, SOC NATUR RESOUR, V30, P723, DOI 10.1080/08941920.2016.1257078
   BARANGE M., 2018, Introduction of vector mosquitoes, P1
   Barker PM, 2016, IMPLEMENT SCI, V11, DOI 10.1186/s13012-016-0374-x
   Barnes ML, 2020, NAT CLIM CHANGE, V10, P823, DOI 10.1038/s41558-020-0871-4
   Berrang-Ford L, 2021, NAT CLIM CHANGE, V11, P989, DOI 10.1038/s41558-021-01170-y
   Bjerregaard P, 2021, BMC PUBLIC HEALTH, V21, DOI 10.1186/s12889-021-11123-x
   Blue L, 2010, NEW ZEAL GEOGR, V66, P105, DOI 10.1111/j.1745-7939.2010.01181.x
   Bodmer R, 2020, J ETHNOBIOL, V40, P218, DOI 10.2993/0278-0771-40.2.218
   Bongaarts J, 2019, POPUL DEV REV, V45, P680, DOI 10.1111/padr.12283
   Brittain S, 2022, CONSERV SCI PRACT, V4, DOI 10.1111/csp2.12777
   Brodie J, 2012, TRENDS ECOL EVOL, V27, P145, DOI 10.1016/j.tree.2011.09.008
   Buffa DC., 2023, Dryad Digital Repository, DOI [10.5061/dryad.0vt4b8h4n, DOI 10.5061/DRYAD.0VT4B8H4N]
   Buffa DC., 2023, Dryad Digital Repository, DOI [10.5061/dryad.bnzs7h4h4, DOI 10.5061/DRYAD.BNZS7H4H4]
   Buffa DC., 2023, Figshare, DOI [10.6084/m9.figshare.c.6823033, DOI 10.6084/M9.FIGSHARE.C.6823033]
   Cajete GA, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12229569
   Capellotto Costa Flavia Regina, 2020, Oecologia Australis, V24, P317, DOI 10.4257/oeco.2020.2402.07
   Cash DW, 2006, SCI TECHNOL HUM VAL, V31, P465, DOI 10.1177/0162243906287547
   CERNEA MM, 1995, HUM ORGAN, V54, P340, DOI 10.17730/humo.54.3.l61056q61944r14l
   Cesar H., 2003, EC WORLDWIDE CORAL R
   Cheung WWL, 2009, FISH FISH, V10, P235, DOI 10.1111/j.1467-2979.2008.00315.x
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Coleman J.S., 1961, The adolescent society
   Cook M., 2019, Indigenization is indigenous
   Cripps G., 2009, Community Creation and Management Of The Velondriake Marine Protected Area
   Cross MS, 2022, ENVIRON MANAGE, V70, P881, DOI 10.1007/s00267-022-01718-4
   Doran G. T., 1981, Management Review, V70, P35, DOI DOI 10.1177/004057368303900411
   Douglass K, 2021, AM J HUM BIOL, V33, DOI 10.1002/ajhb.23557
   Dowie M., 2011, Conservation
   Durkheim Emile., 1912, Elementary Forms of the Religious Life
   Escobar A., 2012, Encountering development: the making and unmaking of the third world, VRevised edition, P344
   Ferraro PJ, 2006, PLOS BIOL, V4, P482, DOI 10.1371/journal.pbio.0040105
   First Nations Information Governance Centre, 2022, The First Nations Principles of OCAP®
   Follett M.P., 1919, PHILOS REV, V28, P576, DOI DOI 10.2307/2178307
   França FM, 2020, PHILOS T R SOC B, V375, DOI 10.1098/rstb.2019.0116
   Garnett ST, 2018, NAT SUSTAIN, V1, P369, DOI 10.1038/s41893-018-0100-6
   Gattuso JP, 2018, FRONT MAR SCI, V5, DOI 10.3389/fmars.2018.00337
   Gautier L., 2007, The natural history of Madagascar, P229
   Germond-Duret C., 2022, Decolonising conservation: towards a postcolonial conservation regime. E-international relations
   Ghosh A, 2022, ENVIRON MANAGE, V69, P305, DOI 10.1007/s00267-021-01552-0
   Ghosh-Jerath S, 2021, FRONT SUSTAIN FOOD S, V5, DOI 10.3389/fsufs.2021.667297
   Goldman M. J., 2011, Conservation and Society, V9, P65, DOI 10.4103/0972-4923.79194
   Green D., 2009, Risks from Climate Change to Indigenous Communities in the Tropical North of Australia
   Halcomb EJ, 2007, J CLIN NURS, V16, P1000, DOI 10.1111/j.1365-2702.2006.01760.x
   Hall A., 1985, Social support and health, P23
   Hall JC, 2021, CULT AGRIC FOOD ENVI, V43, P114, DOI 10.1111/cuag.12275
   Hallett LM, 2017, FRONT ECOL ENVIRON, V15, P578, DOI 10.1002/fee.1734
   Hannah L, 2008, BIOL LETTERS, V4, P590, DOI 10.1098/rsbl.2008.0270
   Hannah L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0072590
   Harris A., 2007, MADAGASCAR CONSERVATION DEVELOPMENT, V2, P43, DOI DOI 10.4314/MCD.V2I1.44129
   Harvey CA, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2013.0089
   Hitomi MK, 2018, FACETS, V3, P830, DOI 10.1139/facets-2018-0010
   Hoegh-Guldberg O., 2018, Global warming of 1.5C
   Hollingshead A., 1949, Elmtown's youth: The impact of social classes on adolescents
   Hunter F., 1953, COMMUNITY POWER STRU
   Ingram DJ, 2020, J ETHNOBIOL, V40, P117, DOI 10.2993/0278-0771-40.2.117
   Jacobs LA., 2022, Parks Stewardship Forum, V38, DOI DOI 10.5070/P538257522
   JASANOFF SS, 1987, SOC STUD SCI, V17, P195, DOI 10.1177/030631287017002001
   Johnson G., 2020, Report No.: 4
   Kates RW, 2012, P NATL ACAD SCI USA, V109, P7156, DOI 10.1073/pnas.1115521109
   Kiffner C., 2022, Tarangire: Human-Wildlife Coexistence in a Fragmented Ecosystem
   Kleiman DG, 2000, CONSERV BIOL, V14, P356, DOI 10.1046/j.1523-1739.2000.98553.x
   Krueger RA, 2014, Focus groups: a practical guide for applied research, V5th
   Kwete XX, 2022, GLOB HEALTH RES POL, V7, DOI 10.1186/s41256-022-00237-3
   Labonte R., 2012, Community organizing and community building for health and welfare, V3rd, P95, DOI [10.1080/10705422.2013, DOI 10.1080/10705422.2013]
   Lam S, 2019, ENVIRON RES LETT, V14, DOI 10.1088/1748-9326/ab13e4
   Lanjouw A, 2021, AM J PRIMATOL, V83, DOI 10.1002/ajp.23258
   Latulippe N, 2020, CURR OPIN ENV SUST, V42, P7, DOI 10.1016/j.cosust.2019.10.010
   Lavery JV, 2010, TRENDS PARASITOL, V26, P279, DOI 10.1016/j.pt.2010.02.009
   Leal W, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-26540-0
   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
   Levkoe CZ, 2019, J PEASANT STUD, V46, P1389, DOI 10.1080/03066150.2018.1512488
   Levkoe CZ, 2017, MAR POLICY, V85, P65, DOI 10.1016/j.marpol.2017.08.018
   Lickers H., 1997, Biodiversity: toward operational definitions (1995 Plum Creek Lectures), P39
   Lynd RobertStaughton., 1937, MIDDLETOWN TRANSITIO
   Magargal K, 2023, PHILOS T R SOC B, V378, DOI 10.1098/rstb.2022.0394
   Marikandia M, 2001, ETHNOHISTORY, V48, P157, DOI 10.1215/00141801-48-1-2-157
   Massoud M., 2010, Options for Large-scale Spread of Simple, High-Impact Interventions
   McNeely JA, 2008, GAIA, V17, P104, DOI 10.14512/gaia.17.S1.7
   Meadow AM, 2015, WEATHER CLIM SOC, V7, P179, DOI 10.1175/WCAS-D-14-00050.1
   Mosse D., 2005, Cultivating development: an ethnography of Aid policy and practice, V1st edn, P336
   Mosse D, 2013, ANNU REV ANTHROPOL, V42, P227, DOI 10.1146/annurev-anthro-092412-155553
   Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501
   Nyeleni, 2007, Selingue
   Oleson KLL, 2015, ECOL ECON, V114, P104, DOI 10.1016/j.ecolecon.2015.02.028
   Pelling M., 2001, Environmental Hazards, V3, P49
   PODAIR JE, 1994, RADICAL HIST REV, P36
   Prabhakar A., 2022, Guidance for Federal Departments and Agencies on Indigenous Knowledge
   Reid RS, 2012, SAVANNAS OF OUR BIRTH: PEOPLE, WILDLIFE, AND CHANGE IN EAST AFRICA, P1
   Reo NJ, 2017, ALTERNATIVE, V13, P58, DOI 10.1177/1177180117701028
   Reynolds L, 2018, CRIT PUBLIC HEALTH, V28, P257, DOI 10.1080/09581596.2018.1449598
   Ricel JC, 2011, ICES J MAR SCI, V68, P1343, DOI 10.1093/icesjms/fsr041
   Roht-Arriaza N., 1996, Michigan Journal of International Law, V17, P919
   Rosengren D, 2018, ETHNOS, V83, P607, DOI 10.1080/00141844.2016.1213760
   Seid M, 2004, AMBUL PEDIATR, V4, P323, DOI 10.1367/A03-198R.1
   Seid M, 2009, ACAD PEDIATR, V9, P106, DOI 10.1016/j.acap.2008.12.003
   Shackeroff J., 2007, CONSERV SOC, V5, P343
   Chapin FS, 2020, P NATL ACAD SCI USA, V117, P6295, DOI [10.1073/pnas.2001686117, 10.1073/pnas.2001686117d]
   Sunderland TCH, 2011, INT FOREST REV, V13, P265, DOI 10.1505/146554811798293908
   Trisos CH, 2021, NAT ECOL EVOL, V5, P1205, DOI 10.1038/s41559-021-01460-w
   United Nations, 2007, United Nations Department of Economic and Social Affairs, Indigenous Peoples
   Walker RJ, 2021, PUBLIC HEALTH NUTR, V24, P5869, DOI 10.1017/S1368980021003554
   Wedathanthrige H., 2013, Promoting Non-fisheries livelihoods in small-scale fisheries communities in Sri Lanka: The process of planning and implementation, P1
   Wellman B., 1977, The Community Question: Intimate Ties in East New York
   Wells M., 1992, People and parks: linking protected area management with local communities.
   Westerman Kame, 2013, Western Indian Ocean Journal of Marine Science, V12, P119
   Whyte K., 2017, Forthcom keep green world tradit ecol knowl sustain
   World Bank, 2020, Madagascar: Balancing Conservation and Exploitation of Fisheries Resources
   Worm B., 2021, Climate change, P445
NR 116
TC 5
Z9 5
U1 2
U2 7
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 NOV 6
PY 2023
VL 378
IS 1889
AR 20220391
DI 10.1098/rstb.2022.0391
PG 14
WC Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Life Sciences & Biomedicine - Other Topics
GA S0SY8
UT WOS:001068365900005
PM 37718606
OA Green Published
DA 2025-01-10
ER

PT J
AU Baffour-Ata, F
   Antwi-Agyei, P
   Boakye, L
   Tettey, LSNA
   Forson, MNEF
   Abiwu, AE
   Gyenin, E
   Larbi, RNM
AF Baffour-Ata, Frank
   Antwi-Agyei, Philip
   Boakye, Louisa
   Tettey, Lester Simon Nii Aryee
   Forson, Muriel Nana Efua Fosuaa
   Abiwu, Albright Ewenam
   Gyenin, Emmanuel
   Larbi, Rebecca Naa Merley
TI Assessing the adaptive capacity of smallholder cocoa farmers to climate
   variability in the Adansi South District of the Ashanti Region, Ghana
SO HELIYON
LA English
DT Article
DE Adaptive capacity; Climate change adaptation; Food security; Ghana
ID FARMING HOUSEHOLDS; ADAPTATION
AB This study assessed the adaptive capacity of smallholder cocoa farmers to address the adverse effects of climate variability in the Adansi South District of the Ashanti Region, Ghana. Specifically, the study sought to (i) assess the perception of the smallholder cocoa farmers to climate variability; (ii) determine the perceived effects of climate variability on cocoa production in the district; and; (iii) evaluate the adaptive capacity of the smallholder cocoa farmers to manage climate risks. The study used questionnaire surveys with 150 smallholder cocoa farmers, key informant interviews, and focus group discussions in three selected communities (Afiaso, Tonkoase, and Amudurase). A variety of capital assets (social, financial, human, physical, and natural) were utilized to conceptualize smallholder cocoa farmers' adaptive capacity. Results showed that the smallholder cocoa farmers reported changes in the onset and duration of rains, rising temperatures, and increasing windstorms in the selected communities. The farmers perceived increased incidence of drought and cocoa failure, the prevalence of diseases and pest invasion, and decreased farmer income as the key adverse effects on their cocoa production. Further, findings also revealed that cumulatively, all the selected communities in Adansi South District had a moderate adaptive capacity (0.531). It is recommended that appropriate policies aimed at enhancing the adaptive capacity of smallholder cocoa farmers must be formulated by policymakers to minimize their vulnerabilities to climate risks.
C1 [Baffour-Ata, Frank; Antwi-Agyei, Philip; Boakye, Louisa; Tettey, Lester Simon Nii Aryee; Forson, Muriel Nana Efua Fosuaa; Abiwu, Albright Ewenam; Gyenin, Emmanuel; Larbi, Rebecca Naa Merley] Kwame Nkrumah Univ Sci & Technol, Dept Environm Sci, Kumasi, Ghana.
C3 Kwame Nkrumah University Science & Technology
RP Baffour-Ata, F (corresponding author), Kwame Nkrumah Univ Sci & Technol, Dept Environm Sci, Kumasi, Ghana.
EM ata.frank@yahoo.com
RI Antwi-Agyei, Philip/AAI-7392-2020; Boakye, Louisa/JKI-1252-2023;
   Baffour-Ata, Frank/AAL-9001-2021
OI Boakye, Louisa/0000-0002-6216-1761; Baffour-Ata,
   Frank/0000-0002-6363-732X
CR Abdul-Razak M, 2017, CLIM RISK MANAG, V17, P104, DOI 10.1016/j.crm.2017.06.001
   Adger WN, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P717
   Affoh R, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020759
   Agbongiarhuoyi AE, 2013, J AGRIC EXT, V17, P10, DOI 10.4314/jae.v17i1.2
   Agbongiarhuoyi A.E., 2013, NIGERIAN J RUR SOC, V14, P24, DOI [10.22004/ag.econ.287164, DOI 10.22004/AG.ECON.287164]
   Agyekum TP, 2022, FRONT ENV SCI-SWITZ, V10, DOI 10.3389/fenvs.2022.935696
   Ameyaw LK, 2018, FORESTS, V9, DOI 10.3390/f9120742
   Amfo B, 2020, FOREST POLICY ECON, V119, DOI 10.1016/j.forpol.2020.102265
   [Anonymous], 2009, HUMAN DEV REPORT
   [Anonymous], 2015, QUALITATIVE PSYCHOL, DOI DOI 10.4135/9781526405555.N2
   Antwi-Agyei P, 2021, CLIM SERV, V22, DOI 10.1016/j.cliser.2021.100226
   Antwi-Agyei P, 2021, CLIM RISK MANAG, V32, DOI 10.1016/j.crm.2021.100304
   Antwi-Agyei P, 2015, LAND USE POLICY, V49, P203, DOI 10.1016/j.landusepol.2015.08.007
   Antwi-Agyei P, 2014, REG ENVIRON CHANGE, V14, P1615, DOI 10.1007/s10113-014-0597-9
   Antwi-Agyei Philip, 2013, Environment Development and Sustainability, V15, P903, DOI 10.1007/s10668-012-9418-9
   Atiah WA, 2022, Q J ROY METEOR SOC, V148, P185, DOI 10.1002/qj.4199
   Baffour-Ata F., 2021, Environ. Challenges, V4, P100205, DOI DOI 10.1016/J.ENVC.2021.100205
   Baffour-Ata F, 2022, WEATHER CLIM SOC, V14, P467, DOI 10.1175/WCAS-D-21-0075.1
   Bleakley H, 2010, ANNU REV ECON, V2, P283, DOI 10.1146/annurev.economics.102308.124436
   Cinner JE, 2018, NAT CLIM CHANGE, V8, P117, DOI 10.1038/s41558-017-0065-x
   Defiesta G, 2014, J ENVIRON SCI MANAG, V17, P48
   Delgado-Ospina J, 2021, J FUNGI, V7, DOI 10.3390/jof7030202
   Denkyirah EK, 2017, COGENT FOOD AGR, V3, DOI 10.1080/23311932.2017.1334296
   Ghana Statistical Service, 2014, DISTR AN REP AD S DI
   Hirpha HH, 2020, INT J CLIM CHANG STR, V12, P463, DOI 10.1108/IJCCSM-01-2019-0002
   Jacobi J, 2015, RENEW AGR FOOD SYST, V30, P170, DOI 10.1017/S174217051300029X
   Jacobs B., 2015, An adaptive capacity guide book: Assessing, building and evaluating the capacity of communities to adapt in a changing climate
   Jamal AM., 2021, Environ. Chall, V5, DOI [10.1016/j.envc.2021.100293, DOI 10.1016/J.ENVC.2021.100293]
   Moghfeli Z, 2023, J ENVIRON PLANN MAN, V66, P977, DOI 10.1080/09640568.2021.2008329
   Mortreux C, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.467
   Nkiaka E, 2020, FRONT CLIM, V2, DOI 10.3389/fclim.2020.565500
   Ofori-Boateng K, 2014, INT J CLIM CHANG STR, V6, P296, DOI 10.1108/IJCCSM-01-2013-0007
   Oluwatusin F.M., 2014, Acad. J. Interdiscip. Stud, V3, P147, DOI [DOI 10.5901/AJIS.2014.V3N1P147, 10.5901/ajis.2014.v3n1p147]
   Pelling M, 2005, GLOBAL ENVIRON CHANG, V15, P308, DOI 10.1016/j.gloenvcha.2005.02.001
   Peprah K., 2019, COCOA PLANT PEOPLE P, DOI [10.5772/intechopen.81991, DOI 10.5772/INTECHOPEN.81991]
   Pickson RB, 2021, SAGE OPEN, V11, DOI 10.1177/21582440211032638
   Raufu MO., 2015, International Journal of Development and Sustainability., V4, P529
   Salam R, 2021, NAT HAZARDS, V106, P509, DOI 10.1007/s11069-020-04473-z
   Salmon Y, 2019, TREE PHYSIOL, V39, P173, DOI 10.1093/treephys/tpy153
   Shrestha R. P., 2018, Sustainable Agriculture Research, V7, P39, DOI 10.5539/sar.v7n3p39
   Simotwo H.K., 2018, Geoenvironmental Disasters, V5, DOI [DOI 10.1186/S40677-018-0096-2, 10.1186/s40677-018-0096-2]
   Smith J.B., 2003, CLIMATE CHANGE ADAPT
   Thapa B, 2016, CURR OPIN ENV SUST, V21, P37, DOI 10.1016/j.cosust.2016.10.005
   United Nations, 2007, GLOB EARL WARN SYST
   United Nations Environment Programme, 2020, COVID 19 IS WAK CAL
   Yaro J.A., 2016, ADAPTATION CLIMATE C, P59, DOI DOI 10.1007/978-3-319-31499-0_5
NR 46
TC 1
Z9 1
U1 4
U2 12
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
J9 HELIYON
JI Heliyon
PD MAR
PY 2023
VL 9
IS 3
AR e13994
DI 10.1016/j.heliyon.2023.e13994
EA MAR 2023
PG 10
WC Multidisciplinary Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics
GA D4QD7
UT WOS:000968585500001
PM 36938433
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Savari, M
   Damaneh, HE
   Damaneh, HE
AF Savari, Moslem
   Damaneh, Hamed Eskandari
   Damaneh, Hadi Eskandari
TI The effect of social capital in mitigating drought impacts and improving
   livability of Iranian rural households
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
LA English
DT Article
DE Drought; Livability; Social capital; Sustainable livelihood; Iran
ID CLIMATE-CHANGE ADAPTATION; CHANGE BELIEFS; POLICY; DETERMINANTS;
   AGRICULTURE; PERCEPTIONS; INDICATORS; KNOWLEDGE; BEHAVIOR; LESSONS
AB The improvement of rural households' livability in drought conditions has always been an impor-tant challenge for all countries, especially developing countries, because consecutive droughts have reduced the resilience of these households and may even inflict irreparable damages to rural and agricultural communities if there are no systems in place for mitigating the risk of drought. This research explored the effects of social capital on the livability of rural families in Iran. The statistical population was composed of all rural-farmer families in Kerman province in the south-east of Iran. The study site was selected based on the severity of droughts. The results show that the studied households are not at an optimal level in livability indices and past droughts have se-verely reduced their livability level. If no comprehensive plan is adopted for drought manage-ment in the coming years, most villages in the southeast of Iran will be desolated. Furthermore, it is revealed that the dimension of social capital (social awareness, participation and collective ac-tion, membership in groups, social trust, and social participation) can account for 74.1% of the variance in rural households' livability in drought conditions. In general, the results can provide policymakers with new insights into how to supply conditions for the sustainability of rural fami-lies' livelihood in drought conditions.
C1 [Savari, Moslem] Agr Sci & Nat Resources Univ Khuzestan, Dept Agr Extens & Educ, Mollasani, Iran.
   [Damaneh, Hamed Eskandari; Damaneh, Hadi Eskandari] Univ Tehran, Fac Nat Resources, Dept Reclamat Arid & Mountainous Reg, Karaj, 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; Eskandari Damaneh, hamed/KCY-9565-2024
OI eskandari damaneh, hamed/0009-0003-4137-712X
FU Agricultural Sciences and Natural Resources University of Khuzestan
   [1401.20]
FX The current paper is adapted from a research assigned in Agricultural
   Sciences and Natural Resources University of Khuzestan, with a Grant
   Number of 1401.20, and financially supported by the university, thereby
   we declare our appreciation for their help.
CR Adanir F., 2018, ORIGINS BACKWARDNESS
   Akbar MS, 2018, DISASTERS, V42, P475, DOI 10.1111/disa.12259
   Alcorta L, 2020, SOC INDIC RES, V149, P445, DOI 10.1007/s11205-019-02264-z
   Aldrich D.P., 2018, IRGC RESOURCE GUIDE, V2
   Aldrich D.P., 2019, BLACK WAVE CONNECTIO
   Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299
   Alinaghipour M., 2021, HUMAN GEOGRAPHY RES, V53, P1
   Angelstam P., 2021, PAN EUROPEAN HORIZON, V26, P86
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Badland H, 2014, SOC SCI MED, V111, P64, DOI 10.1016/j.socscimed.2014.04.003
   Balsas C. J. L., 2004, Planning Practice & Research, V19, P101, DOI 10.1080/0269745042000246603
   Bandyopadhyay N, 2020, PROG DISASTER SCI, V5, DOI 10.1016/j.pdisas.2019.100049
   Bhandari R.B., 2010, ANN DISASTER PREVE B, V53, P137
   Blackburn M.R., 2013, DEV PSYCHOPATHOL, V26, P143
   Bourdieu P., 1992, An invitation to reflexive sociology
   Chen H, 2014, GLOBAL ENVIRON CHANG, V24, P193, DOI 10.1016/j.gloenvcha.2013.11.010
   Chia J, 2010, AUST J EMERG MANAG, V25, P18
   COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943
   Dali N.M., 2018, INT J ANALYTIC HIERA, V10
   Dave D.M., 2021, W28410 NAT BUR EC RE
   de Chazal J, 2010, SYST RES BEHAV SCI, V27, P585, DOI 10.1002/sres.1058
   Delfiyan F, 2021, CLIM DEV, V13, P152, DOI 10.1080/17565529.2020.1737797
   Dixon JA, 2001, FARMING SYSTEMS POVE
   Dorward P, 2020, CLIM DEV, V12, P469, DOI 10.1080/17565529.2019.1642177
   Dunkley J., 2017, HELICTITE, V43, P15
   Dynes RR., 2005, Community social capital as the primary basis for resilience
   El Zahed H., 2020, SOCIAL CAPITAL WATER, P152
   Eskandari Damaneh H., 2022, NAT HAZARDS, P1
   Farahani H., 2022, INT J DISASTER RISK, V82
   Feola G, 2015, J RURAL STUD, V39, P74, DOI 10.1016/j.jrurstud.2015.03.009
   Fetzer T, 2021, REV ECON STAT, V103, P968, DOI 10.1162/rest_a_00946
   GRANOVETTER MS, 1973, AM J SOCIOL, V78, P1360, DOI 10.1086/225469
   Hillig Z, 2018, ASIA PAC VIEWP, V59, P309, DOI 10.1111/apv.12201
   Hua YF, 2021, J CLEAN PROD, V280, DOI 10.1016/j.jclepro.2020.124376
   Huang KX, 2021, J AGR ECON, V72, P47, DOI 10.1111/1477-9552.12389
   Huang XJ, 2018, ECOL INDIC, V87, P47, DOI 10.1016/j.ecolind.2017.12.043
   Huang YT, 2011, J ENVIRON MANAGE, V92, P1277, DOI 10.1016/j.jenvman.2010.12.002
   Joshi A, 2014, INT J DISAST RISK RE, V7, P100, DOI 10.1016/j.ijdrr.2013.09.004
   Kaiser M, 2020, J HUNGER ENVIRON NUT, V15, P591, DOI 10.1080/19320248.2019.1640161
   Kashef M, 2016, FRONT ARCHIT RES, V5, P239, DOI 10.1016/j.foar.2016.03.003
   Kawachi I., 2001, Development (London), V44, P31, DOI 10.1057/palgrave.development.1110211
   Kawamoto K, 2019, INT J DISAST RISK RE, V33, P64, DOI 10.1016/j.ijdrr.2018.09.010
   Kim TT, 2013, INT J CONTEMP HOSP M, V25, P683, DOI 10.1108/IJCHM-Jan-2012-0010
   King T., 2012, Public perceptions of, and responses to, desalination in Australia: a report on findings
   Kos D, 2023, J RURAL STUD, V97, P140, DOI 10.1016/j.jrurstud.2022.10.027
   Leddy AM, 2020, SOC SCI MED, V265, DOI 10.1016/j.socscimed.2020.113492
   Lee YJ, 2007, ENVIRON IMPACT ASSES, V27, P505, DOI 10.1016/j.eiar.2006.12.005
   Leonard M, 2004, SOCIOLOGY, V38, P927, DOI 10.1177/0038038504047176
   Li F, 2009, LANDSCAPE URBAN PLAN, V90, P134, DOI 10.1016/j.landurbplan.2008.10.022
   Li S, 2017, J ENVIRON MANAGE, V185, P21, DOI 10.1016/j.jenvman.2016.10.051
   Li WN, 2023, PAC-BASIN FINANC J, V77, DOI 10.1016/j.pacfin.2022.101922
   Liao CH, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12072696
   Lloyd S., 2021, ROLE SOCIAL CAPITAL, P1
   Lowe M., 2013, Liveable, healthy, sustainable: What are the key indicators for Melbourne neighbourhoods?
   Lu Y, 2013, SOC NETWORKS, V35, P357, DOI 10.1016/j.socnet.2013.04.001
   Martini NF, 2014, ENVIRON MANAGE, V54, P1223, DOI 10.1007/s00267-014-0368-x
   Mimaki J., 2007, SUISUI Hydrological Research Letters, V1, P5, DOI DOI 10.3178/SUISUI.1.5
   Mubaya CP, 2012, J ENVIRON MANAGE, V102, P9, DOI 10.1016/j.jenvman.2012.02.005
   Naghdi A., 2016, URBAN SOCIOLOGICAL S, V6, P23
   Narain V., 2021, DISASTER RESILIENCE, P651
   National research council, 2002, COMM QUAL LIF DAT NE
   Nugraha I.G.P., 2021, ANIMALS-BASEL, V8, P59, DOI [10.24922/eot.v10i2, DOI 10.24922/EOT.V10I2]
   Palosaari M., 2019, VULNERABILITY CLIMAT
   Panday S, 2021, INT J DISAST RISK RE, V55, DOI 10.1016/j.ijdrr.2021.102112
   Paul A, 2018, CITIES, V74, P142, DOI 10.1016/j.cities.2017.11.015
   Pendley SC, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101715
   Qiu LL, 2021, LAND-BASEL, V10, DOI 10.3390/land10020091
   Sanderson D., 2016, WORLD DISASTERS REPO
   Sanyal S, 2016, INT J DISAST RISK RE, V19, P101, DOI 10.1016/j.ijdrr.2016.08.010
   Savari M., 2013, International Research Journal of Applied and Basic Sciences, V4, P291
   Savari M., 2022, FRONT PSYCHOL, V13
   Savari M., 2019, J RURAL RES, V10, P214, DOI [10.22059/JRUR.2018.256365.1247, DOI 10.22059/JRUR.2018.256365.1247]
   Savari M, 2023, FRONT PSYCHOL, V14, DOI 10.3389/fpsyg.2023.1121396
   Savari M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-17560-x
   Savari M, 2022, GLOB ECOL CONSERV, V35, DOI 10.1016/j.gecco.2022.e02102
   Savari M, 2022, HABITAT INT, V124, DOI 10.1016/j.habitatint.2022.102560
   Savari M, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-12541-6
   Savari M, 2022, J NAT CONSERV, V66, DOI 10.1016/j.jnc.2022.126153
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102695
   Savari M, 2022, INT J DISAST RISK RE, V67, DOI 10.1016/j.ijdrr.2021.102654
   Savari M, 2021, DEV PRACT, V31, P650, DOI 10.1080/09614524.2021.1911943
   Savari M, 2021, ENVIRON DEV SUSTAIN, V23, P4949, DOI 10.1007/s10668-020-00798-8
   Schmaal L, 2020, TRANSL PSYCHIAT, V10, DOI 10.1038/s41398-020-0842-6
   Setini M., 2020, Journal of Open Innovation: Technology, Market, and Complexity, V6, P25, DOI [10.3390/joitmc6020025, DOI 10.3390/JOITMC6020025]
   Shahpasand M., 2017, J AGR EC DEV RES, V48, P431
   Sharafi L, 2020, ECOL INDIC, V114, DOI 10.1016/j.ecolind.2020.106276
   Shariatzadeh M, 2022, J CLEAN PROD, V348, DOI 10.1016/j.jclepro.2022.131284
   Shaw R., 2005, WORLD C DIS RED 18 2
   Shiri N, 2021, BRIT FOOD J, V123, P3265, DOI 10.1108/BFJ-02-2021-0166
   Smiley KT, 2018, POPUL ENVIRON, V40, P115, DOI 10.1007/s11111-018-0304-8
   Szreter S, 2004, INT J EPIDEMIOL, V33, P650, DOI 10.1093/ije/dyh013
   Szreter S., 2018, The Ethics of Public Health, P477, DOI [10.4324/9781315239927-30, DOI 10.4324/9781315239927-30]
   Thanh P.T., 2019, KKU INT J HUM SOC SC, V9, P118
   Valizadeh N, 2022, LAND DEGRAD DEV, V33, P3703, DOI 10.1002/ldr.4417
   Wang P, 2020, SUSTAIN CITIES SOC, V54, DOI 10.1016/j.scs.2019.102004
   Wang Y, 2019, ECOL INDIC, V104, P711, DOI 10.1016/j.ecolind.2019.05.054
   Woolcock M, 1998, THEOR SOC, V27, P151, DOI 10.1023/A:1006884930135
   Woolcock M, 2010, ANNU REV POLIT SCI, V13, P469, DOI 10.1146/annurev.polisci.031108.094151
   Xu R, 2018, NAT REV CLIN ONCOL, V15, P617, DOI 10.1038/s41571-018-0036-9
   Yoon DK, 2016, J ENVIRON PLANN MAN, V59, P436, DOI 10.1080/09640568.2015.1016142
   Yung L, 2015, WEATHER CLIM SOC, V7, P281, DOI 10.1175/WCAS-D-14-00039.1
NR 101
TC 18
Z9 18
U1 1
U2 17
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 APR 15
PY 2023
VL 89
AR 103630
DI 10.1016/j.ijdrr.2023.103630
EA MAR 2023
PG 13
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA A4TN5
UT WOS:000955067800001
DA 2025-01-10
ER

PT J
AU Perez-Montiel, JI
   Cardenas-Mercado, L
   Nardini, AGC
AF Perez-Montiel, Jhonny I.
   Cardenas-Mercado, Leyner
   Nardini, Andrea Gianni Cristoforo
TI Flood Modeling in a Coastal Town in Northern Colombia: Comparing MODCEL
   vs. IBER
SO WATER
LA English
DT Article
DE urban flooding; mathematical modeling; MODCEL; IBER; comparison
ID RESOLUTION TOPOGRAPHIC DATA; CLIMATE-CHANGE ADAPTATION; SHALLOW-WATER
   EQUATIONS; URBAN; ACCURACY; DRAINAGE
AB In Riohacha the La Nina, phenomenon generates intense rains with consequent serious flooding. To address this reality, MODCEL, a conceptual cell-based model, had been applied and calibrated in a previous project. In this research, we compare MODCEL with IBER, a well-known, physically based 2D hydraulic model. The purpose is twofold: (i) to illustrate how system schematization can be carried out in the two modeling frameworks, which is not a trivial task and implies several choices and assumptions; (ii) to point out the strengths and weaknesses of these two models in a comparative fashion. Here, IBER has been calibrated and validated with the same data used for MODCEL. MODCEL performs slightly better, both in calibration and validation possibly because of the low resolution of the topographic information, an essential element for IBER. Furthermore, in IBER it is not possible to represent adequately all the different hydraulic works spread across the town. MODCEL, in turn, is not easy to apply because it requires a deep insight into the actual behavior of the physical system and time-consuming schematization attempts where a deep experience is needed; furthermore, it is by far less user-friendly than IBER. In any case, the two models capture sufficiently well the behavior of urban flooding and its changes according to hypothetical interventions.
C1 [Perez-Montiel, Jhonny I.; Cardenas-Mercado, Leyner] Univ Guajira, Fac Ingn, 1Grupo Invest GISA,Km 5 Via Maicao, Riohacha 440007, Colombia.
   [Nardini, Andrea Gianni Cristoforo] Fdn CREACUA, Ctr Recuperac Ecosistemas ACUAt, Riohacha 440001, Colombia.
C3 Universidad de La Guajira
RP Perez-Montiel, JI (corresponding author), Univ Guajira, Fac Ingn, 1Grupo Invest GISA,Km 5 Via Maicao, Riohacha 440007, Colombia.
EM jpemon@uniguajira.edu.co
RI ; Perez-Montiel, Jhonny I/H-8823-2013
OI NARDINI, Andrea Gianni Cristoforo/0000-0002-8486-7597; Perez-Montiel,
   Jhonny I/0000-0003-0826-5452; CARDENAS MERCADO,
   LEYNER/0000-0002-0193-373X
FU Universidad de La Guajira; Fundacion CREACUA did so for Andrea Nardini
FX This research received no external direct funding. Universidad de La
   Guajira indirectly funded it through the research time of Jhonny I.
   Perez_Montiel and Leyner Cardenas-Mercados; Fundacion CREACUA did so for
   Andrea Nardini.
CR Alvarez M, 2017, WATER-SUI, V9, DOI 10.3390/w9060432
   Arrighi C., 2021, P WEAK POINTS FLOOD
   Behrouz MS, 2020, J HYDROL, V581, DOI 10.1016/j.jhydrol.2019.124436
   Bladé E, 2014, REV INT METOD NUMER, V30, P1, DOI 10.1016/j.rimni.2012.07.004
   Blade E., 2014, ESTIMACION HIDROGRAM
   Bomers A., 2020, HYDRAULIC MODELLING
   CREACUA, 2013, PROYECT AD URB VERD
   CRED (Centre for Research on the Epidemiology of Disasters), 2015, HUM COST NAT DIS 200
   Dazzi S, 2021, ENVIRON MODELL SOFTW, V146, DOI 10.1016/j.envsoft.2021.105225
   Villanueva JRE, 2019, SENSORS-BASEL, V19, DOI 10.3390/s19143205
   Fletcher TD, 2015, URBAN WATER J, V12, P525, DOI 10.1080/1573062X.2014.916314
   Frías-Paredes L, 2017, ENERG CONVERS MANAGE, V142, P533, DOI 10.1016/j.enconman.2017.03.056
   Gharbi M., 2016, Journal of Materials and Environmental Science, V7, P3017
   Gibson MJ, 2016, PROCEDIA ENGINEER, V154, P801, DOI 10.1016/j.proeng.2016.07.409
   Gonzalez-Cao J, 2022, J HYDROL, V610, DOI 10.1016/j.jhydrol.2022.127883
   Guo KH, 2021, HYDROL EARTH SYST SC, V25, P2843, DOI 10.5194/hess-25-2843-2021
   Hall J, 2015, AUSTRALAS J WAT RESO, V19, P74, DOI 10.7158/W14-016.2015.19.1
   Higgins SA, 2014, J GEOPHYS RES-EARTH, V119, P1768, DOI 10.1002/2014JF003117
   Hu C, 2021, J HYDROL, V603, DOI 10.1016/j.jhydrol.2021.126833
   Iber M., BIDIMENSIONAL FLUJO
   Jahanbazi M, 2014, URBAN WATER J, V11, P584, DOI 10.1080/1573062X.2013.871041
   Jiang WW, 2022, J HYDROL-REG STUD, V42, DOI 10.1016/j.ejrh.2022.101122
   Lavoie B, 2017, NAT HAZARDS, V86, P1207, DOI 10.1007/s11069-016-2737-7
   Li JD, 2022, J CLEAN PROD, V344, DOI 10.1016/j.jclepro.2022.130992
   Li J, 2016, ENVIRON MODELL SOFTW, V80, P1, DOI 10.1016/j.envsoft.2016.02.004
   Li N, 2018, COAST ENG, V133, P126, DOI 10.1016/j.coastaleng.2017.12.013
   Lopez C.F., 2011, MODELIZACION RUPTURA
   López-Bermeo C, 2022, PHYS CHEM EARTH, V127, DOI 10.1016/j.pce.2022.103184
   Luo PP, 2022, ENVIRON MODELL SOFTW, V156, DOI 10.1016/j.envsoft.2022.105478
   Makondo CC, 2018, ENVIRON SCI POLICY, V88, P83, DOI 10.1016/j.envsci.2018.06.014
   Mascarenhas FCB, 2002, WATER INT, V27, P208, DOI 10.1080/02508060208686994
   Mentaschi L, 2013, OCEAN MODEL, V72, P53, DOI 10.1016/j.ocemod.2013.08.003
   Miguez MG, 2007, WIT TRANS ECOL ENVIR, V103, P645, DOI 10.2495/WRM070601
   Miguez M.G., 1999, REV BRAS RECUR H DRI, V4, P119
   Miguez MG, 2017, WATER-SUI, V9, DOI 10.3390/w9060445
   Morgan A, 2016, PROCEDIA ENGINEER, V154, P853, DOI 10.1016/j.proeng.2016.07.453
   Municipio de Riohacha, 2002, PLAN ORD TERR MUN RI
   Nardini A., 2018, CONT ENG SCI, V11, P3253, DOI [10.12988/ces.2018.87336, DOI 10.12988/CES.2018.87336]
   Nardini A, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8030198
   Cerrillo RMN, 2010, FOR SYST, V19, P61
   Nawaz M, 2021, ATMOS RES, V248, DOI 10.1016/j.atmosres.2020.105289
   Nkwunonwo UC, 2020, SCI AFR, V7, DOI 10.1016/j.sciaf.2020.e00269
   Özgen I, 2016, J HYDROL, V541, P1165, DOI 10.1016/j.jhydrol.2016.08.025
   Ozdemir H, 2013, HYDROL EARTH SYST SC, V17, P4015, DOI 10.5194/hess-17-4015-2013
   Pérez Jhonny I., 2018, Inf. tecnol., V29, P143
   Ren XW, 2020, GEODERMA, V363, DOI 10.1016/j.geoderma.2019.114158
   Rezende OM, 2019, J HYDROL, V576, P478, DOI 10.1016/j.jhydrol.2019.06.063
   Salvan L, 2016, PROCEDIA ENGINEER, V154, P890, DOI 10.1016/j.proeng.2016.07.469
   Santillan JR, 2016, INT ARCH PHOTOGRAMM, V41, P149, DOI 10.5194/isprsarchives-XLI-B4-149-2016
   Sanz-Ramos M., 2022, IBER V3 REFERENCE MA
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   Srivastav RK, 2014, WATER RESOUR MANAG, V28, P2539, DOI 10.1007/s11269-014-0626-y
   Timbe L., 2011, Maskana, V2, P91, DOI [10.18537/mskn.02.01.07, DOI 10.18537/MSKN.02.01.07]
   Toté C, 2015, REMOTE SENS-BASEL, V7, P1758, DOI 10.3390/rs70201758
   Valderrama JI, 2005, CAN J CHEM ENG, V83, P578
   Vozinaki AEK, 2017, HYDROLOG SCI J, V62, P642, DOI 10.1080/02626667.2016.1255746
   Wang YM, 2010, MATH COMPUT MODEL, V51, P1, DOI 10.1016/j.mcm.2009.07.016
   Weber Juan Francisco, 2014, Rev. Ambient. Água, V9, P161, DOI 10.4136/ambi-agua.1320
   Xia XC, 2016, COMPUT STAT DATA AN, V96, P104, DOI 10.1016/j.csda.2015.10.012
NR 59
TC 8
Z9 8
U1 2
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD DEC
PY 2022
VL 14
IS 23
AR 3866
DI 10.3390/w14233866
PG 24
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA 6Y5JC
UT WOS:000897130100001
OA gold
DA 2025-01-10
ER

PT J
AU Petitimbert, R
   Bouleau, G
   Guimont, C
AF Petitimbert, Remy
   Bouleau, Gabrielle
   Guimont, Clemence
TI (Re)politicization of climate change mitigating projects: environmental
   forms and motives of the Seine Nord Europe canal
SO EUROPEAN JOURNAL OF FUTURES RESEARCH
LA English
DT Article
DE Transport infrastructures; Biodiversity scenarios; Environmental forms
   environmental motives; Technological promises; Discourse analysis
ID INFRASTRUCTURE
AB Climate change adaptation and mitigation strategies are gaining visibility and support. Decision-makers are defending the extension of large infrastructures that are low greenhouse gas (GHG) emitters, as a way to act quickly and massively without calling into question existing economic models. This situation depoliticizes these projects, masking their other ecological consequences such as their impacts on biodiversity. This article examines how promoters of these projects depoliticized its socio-technical futures while other actors re-politicized them. Using the example of the Seine Nord Europe Canal project, we show a politicization of the territorial future and a depoliticization of the environmental future. This depoliticization is based on the techno-optimist discourse promoting large-scale infrastructures as the only possible solution to the global ecological and climate crisis. It uses a selective framing of the environment that makes some elements visible and others invisible. We conducted semi-structured interviews with biodiversity stakeholders in the territories that would be impacted by the canal. Based on the concepts of environmental forms and motives, we reconstructed the environmental ontologies ignored by the dominant discourse and assembled them into three alternative scenarios. We present the method of investigation and identification of these motives and discuss the likelihood of the constructed scenarios participating in a re-politicization based on the reactions of various actors.
C1 [Petitimbert, Remy] Univ Lille, CER APS, CNRS, UMR 8026, Lille, France.
   [Bouleau, Gabrielle] INRAE UMR1326 Lab Interdisciplinaire Sci Innovat, Paris, France.
   [Guimont, Clemence] Univ Paris 1 Pantheon Sorbonne, CESSP, Paris, France.
C3 Universite de Lille; Centre National de la Recherche Scientifique
   (CNRS); CNRS - Institute for Humanities & Social Sciences (INSHS); INRAE
RP Bouleau, G (corresponding author), INRAE UMR1326 Lab Interdisciplinaire Sci Innovat, Paris, France.
EM gabrielle.bouleau@inrae.fr
OI Bouleau, Gabrielle/0000-0001-5732-1372
FU ITTECOP programme (2017-2020); French Ministry of Ecological Transition;
   national Agency for Ecological Transition; French Foundation for
   Biodiversity Research (FRB)
FX The project is sponsored by the ITTECOP programme (2017-2020) co-funded
   by the French Ministry of Ecological Transition, the national Agency for
   Ecological Transition, and the French Foundation for Biodiversity
   Research (FRB).
CR Adam Barbara., 2007, Future Matters. Action, Knowledge, Ethics, DOI [10.1163/ej.9789004161771.i-218, DOI 10.1163/EJ.9789004161771.I-218]
   Angot S, 2020, MODERNISATION LETAT
   [Anonymous], 2004, ISRAEL STUD, DOI DOI 10.2979/ISR.2004.9.2.180
   Barthelemy C., 2009, Natures Sciences Societes, V17, P113, DOI 10.1051/nss/2009025
   Barthelemy C., 2005, PROGRAMME DECENNAL R, P84
   Bonnafous A., 2009, TRANSPORTS
   BOULEAU G., 2019, Politicization of Ecological Issues. From Environmental Forms to Environmental Motives, DOI [10.1002/9781119649694, DOI 10.1002/9781119649694]
   Bouzarovski S, 2015, GEOFORUM, V64, P217, DOI 10.1016/j.geoforum.2015.06.022
   Coutard Olivier., 2015, Beyond the Networked City: Infrastructure Reconfigurations and Urban Change in the North and South
   De Wilde P., 2011, J EUROPEAN INTEGRATI, V33, P559, DOI [10.1080/07036337.2010.546849, DOI 10.1080/07036337.2010.546849]
   Durand L., 2018, TEMPORALITES, DOI DOI 10.4000/TEMPORALITES.5091
   Felt U, 2010, MINERVA, V48, P219, DOI 10.1007/s11024-010-9155-x
   Ghiotti S, 2006, DEV DURABLE TERRIT, DOI 10.4000/developpementdurable.1742
   Gilbert C, 2012, REV FR SOCIOL, V53, P35, DOI 10.3917/rfs.531.0035
   Gokalp I, 1994, ANATOLIA MODERNA YEN, V5, P141, DOI [10.3406/anatm.1994.924, DOI 10.3406/ANATM.1994.924]
   Gonjo Y., 1972, REV HISTORIQUE, V248, P49
   Granjou C, 2017, FUTURES, V92, P5, DOI 10.1016/j.futures.2017.05.007
   Granjou Celine., 2016, En Environmental Changes: The Futures of Nature
   Hay C., 2007, WHY WE HATE POLITICS
   HOWLETT M, 1991, POLICY STUD J, V19, P1, DOI 10.1111/j.1541-0072.1991.tb01878.x
   Hughes ThomasP., 1989, AM GENESIS CENTURY I
   Jasanoff S, 2009, MINERVA, V47, P119, DOI 10.1007/s11024-009-9124-4
   Lanneaux M-A., 2020, CANAL SEINE NORD EUR
   Le Gales P., 2006, CHAPITRE 8 2 MOTEURS, P303
   McLaren D, 2020, NAT CLIM CHANGE, V10, P392, DOI 10.1038/s41558-020-0740-1
   Merger M, 1990, HIST EC SOC, V9, P65
   Mutter A, 2022, SCI TECHNOL HUM VAL, V47, P85, DOI 10.1177/0162243921996052
   Noailles C., 1998, CO GEN NAVIGATION HA
   Palonen K, 2019, CONTEMP POLIT THEORY, V18, P248, DOI 10.1057/s41296-019-00326-y
   Pressman JL., 1966, IMPLEMENTATION GREAT
   Pritchard SB., 2011, CONFLUENCE NATURE TE, DOI [10.4159/harvard.9780674061231, DOI 10.4159/HARVARD.9780674061231]
   Scoones I., 2020, The Politics of Uncertainty: Challenges of Transformation
   Sergent A, 2018, CHANGEMENT CLIMATIQU, P68
   Slota StephenC., 2016, The Handbook of Science and Technology Studies, P529
   Sovacool BK, 2018, SCI TECHNOL HUM VAL, V43, P1066, DOI 10.1177/0162243918768074
   Star SL, 1996, INFORM SYST RES, V7, P111, DOI 10.1287/isre.7.1.111
   Swyngedouw E, 2019, ANTIPODE BOOK SER, P253
   Swyngedouw E, 2018, THEOR CULT SOC, V35, P3, DOI 10.1177/0263276418757314
   Todd E, 2019, ENV SPACE PLACE, V11, P26, DOI [10.5749/envispacplac.11.2.0026, DOI 10.5749/ENVISPACPLAC.11.2.0026]
   Trottier J., 2010, Environment and History, V16, P97, DOI 10.3197/096734010X485319
   Van der Vleuten E, 2006, NETWORKING EUROPE TR, P279
   Wiesner Claudia., 2021, RETHINKING POLITICIS
   Zittoun Philippe, 2021, POLITICAL FORMULATIO
NR 43
TC 3
Z9 3
U1 2
U2 9
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2195-4194
EI 2195-2248
J9 EUR J FUTURES RES
JI Eur. J. Futures Res.
PD DEC
PY 2022
VL 10
IS 1
AR 7
DI 10.1186/s40309-022-00195-6
PG 15
WC Social Sciences, Interdisciplinary
WE Social Science Citation Index (SSCI)
SC Social Sciences - Other Topics
GA 0Q5WT
UT WOS:000784989300001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Axelrod, M
   Vona, M
   Colwell, JN
   Fakoya, K
   Salim, SS
   Webster, DG
   de la Torre-Castro, M
AF Axelrod, Mark
   Vona, Meghan
   Colwell, Julia Novak
   Fakoya, Kafayat
   Salim, Shyam S.
   Webster, D. G.
   de la Torre-Castro, Maricela
TI Understanding gender intersectionality for more robust ocean science
SO EARTH SYSTEM GOVERNANCE
LA English
DT Article
DE Gender and fisheries; Marine fisheries; Intersectionality; Adaptation;
   Ocean science; Ocean governance
ID CLIMATE-CHANGE ADAPTATION; WESTERN INDIAN-OCEAN; TAMIL-NADU; RESILIENCE;
   AQUACULTURE; MANAGEMENT; FISHERIES; POLITICS; AFRICA; POWER
AB The UN Decade of Ocean Science (UNDOS) aims to: "Generate knowledge, support innovation, and develop solutions for equitable and sustainable development of the ocean economy under changing environmental, social and climate conditions." Changing conditions affect certain groups more than others, depending on exposure, sensitivity and adaptive capacity. Gendered differentiation has been studied in small scale coastal fisheries. However, this approach is often limited to male-female gender dichotomies. In contrast, the present analysis takes a more expansive approach centered around the concept of intersectionality, to demonstrate more nuanced differences in terms of individuals' access to resources for adaptation. We build on multiple Earth System Governance contextual conditions and research lenses to demonstrate that an intersectional approach allows greater understanding of gendered adaptation options impacted by various other factors. This must include investigations beyond the traditional gender binary, which we have sought to achieve in this study by using broader local and individualistic context to observe different communities. We compare gender intersectionality in case studies from India and Tanzania. The evidence demonstrates that intersectional factors vary, impacting adaptiveness to changing Anthropocene conditions, depending upon cross-cutting context-specific systems of hierarchy and discrimination. However, despite variation, we demonstrate there are common factors to be investigated across all locations when identifying possible intersectional impacts of ocean policy interventions, particularly wealth, marriage and family roles, and social networks.
C1 [Axelrod, Mark; Vona, Meghan] Michigan State Univ, E Lansing, MI 48824 USA.
   [Colwell, Julia Novak] Univ New Hampshire, Durham, NH 03824 USA.
   [Fakoya, Kafayat] Lagos State Univ, Lagos, Nigeria.
   [Salim, Shyam S.] ICAR Cent Marine Fisheries Res Inst CMFRI, Kochi, Kerala, India.
   [Webster, D. G.] Dartmouth Coll, Hanover, NH 03755 USA.
   [de la Torre-Castro, Maricela] Stockholm Univ, Stockholm, Sweden.
C3 Michigan State University; University System Of New Hampshire;
   University of New Hampshire; Lagos State University; Indian Council of
   Agricultural Research (ICAR); ICAR - Central Marine Fisheries Research
   Institute; Dartmouth College; Stockholm University
RP Axelrod, M (corresponding author), Michigan State Univ, E Lansing, MI 48824 USA.
EM axelrod3@msu.edu
RI Fakoya, Kafayat/KEJ-0741-2024; Webster, DG/LNQ-3417-2024; Axelrod,
   Mark/L-6384-2016
OI Axelrod, Mark/0000-0003-1734-0434; Webster, D.G./0000-0002-8368-983X
FU Michigan State University's James Madison College; ICAR-Central Marine
   Fisheries Research Institute
FX We thank Michigan State University's James Madison College and
   ICAR-Central Marine Fisheries Research Institute for research support.
   Amanda Jarrett and Karl Schneider provided excellent research assistance
   on related research that is reported in this manuscript. Additionally,
   an earlier version of this project was presented at the 2021 Annual
   Meeting of the International Studies Association, and we appreciate
   feedback from participants in that setting.
CR Adger WN, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P755
   Agarwal B, 2001, WORLD DEV, V29, P1623, DOI 10.1016/S0305-750X(01)00066-3
   Allison EH, 2001, MAR POLICY, V25, P377, DOI 10.1016/S0308-597X(01)00023-9
   [Anonymous], 2010, AID GLOBAL VALUE CHA
   Arora-Jonsson S, 2011, GLOBAL ENVIRON CHANG, V21, P744, DOI 10.1016/j.gloenvcha.2011.01.005
   Barclay K., 2020, SPC WOMEN FISHERIES, P4
   Barclay K, 2018, MARIT STUD, V17, P199, DOI 10.1007/s40152-018-0111-y
   Bryceson I., 2002, Western Indian Ocean Journal of Marine Science, V1, P1
   Burch S, 2019, EARTH SYST GOV-NETH, V1, DOI 10.1016/j.esg.2019.100006
   Cho S, 2013, SIGNS, V38, P785, DOI 10.1086/669608
   Colwell JMN, 2017, WORLD DEV, V98, P325, DOI 10.1016/j.worlddev.2017.04.033
   Colwell JMN, 2017, MAR POLICY, V77, P182, DOI 10.1016/j.marpol.2016.10.026
   Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003
   Crenshaw Kimberle., 1991, Mapping the Margins: Intersectionality, Identity Politics, and Violence Against Women of Color, DOI [10.2307/1229039, DOI 10.2307/1229039]
   de la Torre-Castro M, 2019, FRONT MAR SCI, V6, DOI 10.3389/fmars.2019.00156
   de la Torre-Castro M, 2017, MAR POLICY, V83, P62, DOI 10.1016/j.marpol.2017.05.015
   de la Torre-Castro M, 2014, MAR POLLUT BULL, V83, P398, DOI 10.1016/j.marpolbul.2014.03.034
   de la Torre-Castro M, 2010, MAR POLICY, V34, P77, DOI 10.1016/j.marpol.2009.04.012
   Detraz N., 2017, Gender and the Environment
   Eklof J.S., 2012, People, Nature and Research in Chwaka Bay, Zanzibar, Tanzania, Chapter 12, P213
   FAO, 2015, VOL GUID SEC SUST SM
   Ferguson CE, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.625389
   Finkbeiner EM, 2021, MAR POLICY, V128, DOI 10.1016/j.marpol.2021.104482
   Food and Agriculture Orgainsation (FAO), 2017, GENDER EQUITABLE SMA
   Fröcklin S, 2018, ECOL SOC, V23, DOI 10.5751/ES-10136-230234
   Fröcklin S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0091161
   Fröcklin S, 2013, AMBIO, V42, P951, DOI 10.1007/s13280-013-0451-1
   Fröcklin S, 2012, AQUACULTURE, V356, P30, DOI 10.1016/j.aquaculture.2012.05.039
   Garry A, 2011, HYPATIA, V26, P826, DOI 10.1111/j.1527-2001.2011.01194.x
   Hawkins R, 2011, ENVIRON PLANN D, V29, P237, DOI 10.1068/d16810
   Heltberg R, 2013, J DEV STUD, V49, P705, DOI 10.1080/00220388.2012.746668
   Kaijser A, 2014, ENVIRON POLIT, V23, P417, DOI 10.1080/09644016.2013.835203
   Kleiber D, 2015, FISH FISH, V16, P547, DOI 10.1111/faf.12075
   Kojola E, 2019, ENVIRON SOCIOL, V5, P130, DOI 10.1080/23251042.2018.1426090
   Leal W, 2018, MITIG ADAPT STRAT GL, V23, P579, DOI 10.1007/s11027-017-9750-3
   May CK, 2021, ENVIRON MANAGE, V68, P100, DOI 10.1007/s00267-021-01482-x
   Msuya FE, 2017, EUR J PHYCOL, V52, P482, DOI 10.1080/09670262.2017.1357084
   Nightingale AJ, 2017, GEOFORUM, V84, P11, DOI 10.1016/j.geoforum.2017.05.011
   Nightingale AJ, 2011, GEOFORUM, V42, P153, DOI 10.1016/j.geoforum.2010.03.004
   Novak Colwell Julia M., 2016, FISHERY DEPENDENT ST
   Ojha HR, 2016, CLIM POLICY, V16, P415, DOI 10.1080/14693062.2014.1003775
   Rabby YW, 2019, INT J DISAST RISK RE, V41, DOI 10.1016/j.ijdrr.2019.101329
   Rönnbäck P, 2002, AMBIO, V31, P537, DOI 10.1639/0044-7447(2002)031[0537:CADIEA]2.0.CO;2
   Rubinoff JA, 1999, WOMEN STUD INT FORUM, V22, P631, DOI 10.1016/S0277-5395(99)00073-4
   Ryder StaciaS., 2017, Social Thought Research, V34, P85, DOI 10.17161/1808.25571
   Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008
   Sverdlik Alice., 2021, REFLECT ACT
   Taylor D.E., 1997, RACE GENDER CLASS, V5, P16
   Thompson-Hall M, 2016, AMBIO, V45, pS373, DOI 10.1007/s13280-016-0827-0
   UNESCO -IOC, 2021, IMPLEMENTATION PLAN, V20
   United Nations Global Compact, 2020, Blue Bonds: Reference paper for investments accelerating sustainable ocean business
   Wabnitz C.C.C., 2021, GENDER DYNAMICS OCEA
   Webster DG, 2015, POLIT SCI ENVIRON, P1, DOI 10.7551/mitpress/9780262029551.001.0001
NR 53
TC 15
Z9 15
U1 3
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2589-8116
J9 EARTH SYST GOV-NETH
JI Earth Syst. Gov.
PD AUG
PY 2022
VL 13
AR 100148
DI 10.1016/j.esg.2022.100148
EA JUL 2022
PG 10
WC Environmental Studies; International Relations; Political Science;
   Public Administration
WE Emerging Sources Citation Index (ESCI)
SC Environmental Sciences & Ecology; International Relations; Government &
   Law; Public Administration
GA 3W6EM
UT WOS:000842436000001
OA gold
DA 2025-01-10
ER

PT J
AU Mustafa, G
   Mahmood, H
   Iqbal, A
AF Mustafa, Ghulam
   Mahmood, Haider
   Iqbal, Asim
TI Environmentally friendly farming and yield of wheat crop: A case of
   developing country
SO JOURNAL OF CLEANER PRODUCTION
LA English
DT Article
DE Environmentally friendly farming strategies; Yield of the wheat crop;
   Socioeconomic factors
ID CLIMATE-CHANGE ADAPTATION; FOOD SECURITY; CONSERVATION AGRICULTURE;
   IMPACTS; PRODUCTIVITY; PERSPECTIVE; FARMERS; TESTS; SOIL
AB The adverse effect of climate change on wheat is observed worldwide, but thanks to the environmentally friendly behavior of rural farmers to mitigate the impact of adverse environmental factors on their crops. The efficacy of Environmentally Friendly Farming (EFF) strategies needs to be tested in a developing country like Pakistan. This study intends to quantify the impact of Changing Crop Variety (CCV), Changing Planting Dates (CPD), Tree Plantation (TP), and Soil Conservation (SC) strategies on the yield of wheat crop. We also test some farm-specific and farmer-specific determinants of the wheat yield. A multistage random sample technique is utilized to collect the data from 224 farmers in rural Punjab, and a two-stage least square approach is employed for impact analyses. We find that all EFF strategies are found helpful to improve the wheat yield. SC and TP strategies are found significantly more productive than CCV and CPD. Moreover, some farms' inputs and socioeconomic factors also have significant effects on the wheat yield. The government should provide financial and non-financial incentives to the farmers to use EFF strategies in wheat farming because EFF strategies may increase the wheat yield and carry positive environmental spillovers. Moreover, the government should explore/invent pro-environmentally techniques and disseminate their efficacy among the farmers through extension services and awareness programs.
C1 [Mustafa, Ghulam; Iqbal, Asim] Univ Educ, Dept Econ & Business Adm, Lahore 54770, Pakistan.
   [Mahmood, Haider] Prince Sattam Bin Abdulaziz Univ, Dept Finance, Coll Business Adm, Alkharj 11942, Saudi Arabia.
C3 Prince Sattam Bin Abdulaziz University
RP Mahmood, H (corresponding author), Prince Sattam Bin Abdulaziz Univ, Dept Finance, Coll Business Adm, Alkharj 11942, Saudi Arabia.
EM haidermahmood@hotmail.com
RI Mahmood, Haider/AAN-3156-2020; Iqbal, Asim/AAO-8933-2020; Mustafa,
   Ghulam/U-9384-2017
OI Mustafa, Ghulam/0000-0002-7876-2107; Mahmood,
   Haider/0000-0002-6474-4338; Iqbal, Asim/0000-0001-7682-2818
CR Abid M, 2016, J RURAL STUD, V47, P254, DOI 10.1016/j.jrurstud.2016.08.005
   Adimassu Z, 2017, ENVIRON MANAGE, V59, P87, DOI 10.1007/s00267-016-0776-1
   Ahmad D, 2021, ENVIRON DEV SUSTAIN, V23, P865, DOI 10.1007/s10668-020-00612-5
   Ali A, 2017, CLIM RISK MANAG, V16, P183, DOI 10.1016/j.crm.2016.12.001
   Arshad Farooq Arshad Farooq, 2007, Sarhad Journal of Agriculture, V23, P807
   Asseng S, 2019, GLOBAL CHANGE BIOL, V25, P155, DOI 10.1111/gcb.14481
   Bachke ME, 2019, FOOD POLICY, V89, DOI 10.1016/j.foodpol.2019.101792
   Blazy JM, 2011, ECOL ECON, V72, P140, DOI 10.1016/j.ecolecon.2011.09.021
   BREUSCH TS, 1979, ECONOMETRICA, V47, P1287, DOI 10.2307/1911963
   Campbell BM, 2014, CURR OPIN ENV SUST, V8, P39, DOI 10.1016/j.cosust.2014.07.002
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Daniel D, 2013, J COMPETITIVENESS, V5, P31, DOI 10.7441/joc.2013.03.03
   de Bruin K, 2014, REG ENVIRON CHANGE, V14, P1009, DOI 10.1007/s10113-013-0447-1
   Devkota N., 2017, Asian J. Agric. Rural Dev, V7, P136, DOI DOI 10.18488/JOURNAL.1005/2017.7.7/1005.7.136.148
   Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006
   García GA, 2011, FIELD CROP RES, V124, P408, DOI 10.1016/j.fcr.2011.07.006
   Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7
   Ghosh BN, 2015, INT SOIL WATER CONSE, V3, P112, DOI 10.1016/j.iswcr.2015.05.001
   Gorst A, 2018, ENVIRON DEV ECON, V23, P679, DOI 10.1017/S1355770X18000232
   Hana U, 2013, J COMPETITIVENESS, V5, P82, DOI 10.7441/joc.2013.01.06
   HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251, DOI 10.2307/1913827
   Hernandez-Ochoa IM, 2019, EUR J AGRON, V109, DOI 10.1016/j.eja.2019.125915
   Hu HH, 2014, ANNU REV PLANT BIOL, V65, P715, DOI 10.1146/annurev-arplant-050213-040000
   Huang ZH, 2018, CHINA AGR ECON REV, V10, P48, DOI 10.1108/CAER-10-2017-0189
   Ma WL, 2016, FOOD POLICY, V58, P94, DOI 10.1016/j.foodpol.2015.12.002
   Malik S. J., 2015, Pakistan Development Review, V54, P651
   Marousek J, 2020, J CLEAN PROD, V272, DOI 10.1016/j.jclepro.2020.123015
   Marousek J, 2024, ENERG SOURCE PART A, V46, P9379, DOI 10.1080/15567036.2020.1776796
   Marousek J, 2024, ENERG SOURCE PART A, V46, P5705, DOI 10.1080/15567036.2020.1738597
   Marousek J, 2019, CLEAN TECHNOL ENVIR, V21, P1389, DOI 10.1007/s10098-019-01728-7
   Mohammed D., 2020, CLIMATIC CHANGE, V6, P201
   Mozzato D, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10093101
   Novelli S, 2018, QUAL-ACCESS SUCCESS, V19, P340
   Nyanga A, 2016, LAND USE POLICY, V51, P260, DOI 10.1016/j.landusepol.2015.11.020
   Öhlund E, 2015, ENVIRON POLICY GOV, V25, P270, DOI 10.1002/eet.1687
   Oláh J, 2017, J COMPETITIVENESS, V9, P81, DOI 10.7441/joc.2017.04.06
   Owsianiak M, 2021, SCI TOTAL ENVIRON, V755, DOI 10.1016/j.scitotenv.2020.142455
   Prokopchuk O, 2018, J COMPETITIVENESS, V10, P119, DOI 10.7441/joc.2018.03.08
   Quan SP, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11071928
   Sapkota TB, 2015, J INTEGR AGR, V14, P1524, DOI 10.1016/S2095-3119(15)61093-0
   Sargan J.D., 1988, Lectures on Advanced Econometric Theory
   Siddiqua Aisha, 2019, Pakistan Journal of Agricultural Research, V32, P218, DOI 10.17582/journal.pjar/2019/32.2.218.228
   Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811
   Tougiani A, 2009, GEOJOURNAL, V74, P377, DOI 10.1007/s10708-008-9228-7
   van Etten J, 2019, P NATL ACAD SCI USA, V116, P4194, DOI 10.1073/pnas.1813720116
   Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6
   Wang J, 2012, CLIMATIC CHANGE, V113, P825, DOI 10.1007/s10584-011-0385-1
   Waters D, 2011, SOIL BIOL, V29, P345, DOI 10.1007/978-3-642-20256-8_15
   WU DM, 1973, ECONOMETRICA, V41, P733, DOI 10.2307/1914093
   Yang CY, 2019, CLIMATIC CHANGE, V154, P159, DOI 10.1007/s10584-019-02419-4
NR 50
TC 8
Z9 8
U1 1
U2 9
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
J9 J CLEAN PROD
JI J. Clean Prod.
PD SEP 10
PY 2021
VL 314
AR 127978
DI 10.1016/j.jclepro.2021.127978
EA JUN 2021
PG 7
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
GA WJ6YO
UT WOS:000709188300013
DA 2025-01-10
ER

PT J
AU Gregory, R
   Kozak, R
   St-Laurent, GP
   Nawaz, S
   Satterfield, T
   Hagerman, S
AF Gregory, Robin
   Kozak, Robert
   Peterson St-Laurent, Guillaume
   Nawaz, Sara
   Satterfield, Terre
   Hagerman, Shannon
TI Under pressure: conservation choices and the threat of species
   extinction
SO CLIMATIC CHANGE
LA English
DT Article
DE Climate change; Endangered species; Adaptive management; Surveys;
   Conservation; Public opinion
ID CLIMATE-CHANGE ADAPTATION; DECISION-PATHWAY SURVEYS; BIODIVERSITY
   CONSERVATION; FOREST MANAGEMENT; ASSISTED COLONIZATION; PUBLIC
   ENGAGEMENT; SCIENCE; VALUES; COMMUNICATION; RESTORATION
AB Shifts in species ranges and viability introduced by climate change are creating difficult challenges for scientists and citizens. In many cases, the seriousness of threats to endangered species is forcing policy makers and resource managers to consider novel species protection strategies, either to complement or replace existing conservation approaches. This paper seeks to deepen understanding of public views on a range of conventional and novel management initiatives designed to protect species under the threat of extinction, based on results from an online survey conducted in the USA and Canada. Participants first selected a preferred intervention strategy and were then presented with a series of scenarios, focused on protection of the endangered bristlecone pine, which allowed them to explore their willingness to shift to a new policy regime with a better chance of protecting the species. The use of a decision-pathways survey design allowed us to examine the strength of the nudge required to elicit a shift in their position and the reasoning underlying selection of a preferred management alternative. Results generally support the conclusion that, so long as a clear rationale is provided, there exists surprisingly widespread support for the adoption of novel management approaches to save threatened or endangered species even if this requires more intensive genetic and transformational interventions that are costly or ethically challenging.
C1 [Gregory, Robin] Decis Res, 6054 Leaning Tree Rd, Halfmoon Bay, BC V0N 1Y2, Canada.
   [Gregory, Robin; Kozak, Robert; Peterson St-Laurent, Guillaume; Hagerman, Shannon] Univ British Columbia, Fac Forestry, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
   [Peterson St-Laurent, Guillaume; Nawaz, Sara; Satterfield, Terre] Univ British Columbia, Inst Resources Environm & Sustainabil, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada.
C3 University of British Columbia; University of British Columbia
RP Gregory, R (corresponding author), Decis Res, 6054 Leaning Tree Rd, Halfmoon Bay, BC V0N 1Y2, Canada.; Gregory, R (corresponding author), Univ British Columbia, Fac Forestry, 2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM robin.gregory@ires.ubc.ca
RI St-Laurent, Guillaume/AAU-3089-2020; Nawaz, Sara/JTU-0895-2023
OI Nawaz, Sara/0000-0003-4337-1453; Peterson St-Laurent,
   Guillaume/0000-0002-1329-0954
FU Social Sciences and Humanities Research Council, SSHRC (Novel
   environmental management interventions in the Anthropocene) at the
   University of British Columbia [435-2017-0263]
FX This work was financially supported by a grant from the Social Sciences
   and Humanities Research Council, SSHRC (Novel environmental management
   interventions in the Anthropocene -435-2017-0263), to SH at the
   University of British Columbia.
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   [Anonymous], 2015, NEW FOREST, DOI DOI 10.1007/s11056-015-9504-6
   Aubin I, 2011, FOREST CHRON, V87, P755, DOI 10.5558/tfc2011-092
   Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
   Bottrill MC, 2008, TRENDS ECOL EVOL, V23, P649, DOI 10.1016/j.tree.2008.07.007
   Boykoff M, 2019, CREATIVE (CLIMATE) COMMUNICATIONS: PRODUCTIVE PATHWAYS FOR SCIENCE, POLICY AND SOCIETY, DOI 10.1017/9781108164047
   Brest P., 2010, PROBLEM SOLVING DECI
   Butt N., 2020, CONSERV BIOL, V1, P52
   Colloff MJ, 2017, CONSERV BIOL, V31, P1008, DOI 10.1111/cobi.12912
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Corlett RT, 2016, TRENDS ECOL EVOL, V31, P453, DOI 10.1016/j.tree.2016.02.017
   Corner A, 2014, WIRES CLIM CHANGE, V5, P411, DOI 10.1002/wcc.269
   Corner A, 2013, GLOBAL ENVIRON CHANG, V23, P938, DOI 10.1016/j.gloenvcha.2013.06.002
   Dieckmann NF, 2017, PUBLIC UNDERST SCI, V26, P325, DOI 10.1177/0963662515603271
   Dietz T, 2013, P NATL ACAD SCI USA, V110, P14081, DOI 10.1073/pnas.1212740110
   Failing L, 2013, RESTOR ECOL, V21, P422, DOI 10.1111/j.1526-100X.2012.00919.x
   Findlater KM, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7464
   Fischhoff B, 2007, ENVIRON SCI TECHNOL, V41, P7204, DOI 10.1021/es0726411
   Fischhoff B, 2013, P NATL ACAD SCI USA, V110, P14031, DOI 10.1073/pnas.1312080110
   FLYNN J, 1994, RISK ANAL, V14, P1101, DOI 10.1111/j.1539-6924.1994.tb00082.x
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Garnett ST, 2018, ORYX, V52, P325, DOI 10.1017/S0030605316001058
   Gilovich T., 2002, Heuristics and biases: the psychology of intuitive judgement, pxvi, DOI DOI 10.1017/CBO9780511808098
   Gregory R, 2006, ECOL ECON, V58, P434, DOI 10.1016/j.ecolecon.2005.07.020
   GREGORY R, 1993, J RISK UNCERTAINTY, V7, P177, DOI 10.1007/BF01065813
   Gregory R, 1997, LAND ECON, V73, P240, DOI 10.2307/3147285
   Gregory R, 2016, P NATL ACAD SCI USA, V113, P560, DOI 10.1073/pnas.1508896113
   Gregory R, 2013, CONSERV BIOL, V27, P1212, DOI 10.1111/cobi.12165
   Gross J.E., 2016, Adapting to Climate Change: Guidance for protected area managers and planners, P129
   Hagerman S, 2010, GLOBAL ENVIRON CHANG, V20, P192, DOI 10.1016/j.gloenvcha.2009.10.005
   Hagerman SM, 2018, FRONT ECOL ENVIRON, V16, P579, DOI 10.1002/fee.1974
   Hagerman SM, 2016, LAND USE POLICY, V52, P306, DOI 10.1016/j.landusepol.2015.12.034
   Hagerman SM, 2014, ECOL APPL, V24, P548, DOI 10.1890/13-0400.1
   Hagerman SM, 2013, J ENVIRON MANAGE, V129, P555, DOI 10.1016/j.jenvman.2013.07.033
   Hällfors MH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0102979
   Hancock N, 2014, AUSTRAL ECOL, V39, P830, DOI 10.1111/aec.12151
   Hansen L. J., 2011, CLIMATE SAVVY ADAPTI, DOI [10.5822/978-1-59726-988-9, DOI 10.5822/978-1-59726-988-9]
   Heller NE, 2014, CONSERV BIOL, V28, P696, DOI 10.1111/cobi.12269
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012
   Hoegh-Guldberg O, 2008, SCIENCE, V321, P345, DOI 10.1126/science.1157897
   IPBES, 2019, Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, DOI [10.5281/zenodo.3831673, DOI 10.5281/ZENODO.3831673]
   IPCC, 2018, GLOBAL WARMING 15 C, V1st, DOI [10.1017/9781009157940, DOI 10.1017/9781009157940]
   Kahan D.M., 2007, J EMPIR LEGAL STUD, V4, P465, DOI [https://doi.org/10.1111/j.1740-1461.2007.00097.x, DOI 10.1111/J.1740-1461.2007.00097.X, DOI 10.4324/9781849776677]
   Kahneman D., Thinking, fast and slow 2011
   Kareiva P, 2016, GLOB POLICY, V7, P107, DOI 10.1111/1758-5899.12330
   Keenan RJ, 2015, ANN FOREST SCI, V72, P145, DOI 10.1007/s13595-014-0446-5
   Knight AT, 2019, SUSTAIN SCI, V14, P1531, DOI 10.1007/s11625-019-00676-x
   Kohl PA, 2019, CONSERV BIOL, V33, P1286, DOI 10.1111/cobi.13310
   Leonard TC, 2008, CONST POLITICAL ECON, V19, P356, DOI 10.1007/s10602-008-9056-2
   Lichtenstein S, 2006, CONSTRUCTION OF PREFERENCE, P1, DOI 10.2277/ 0521542200
   Mawdsley JR, 2009, CONSERV BIOL, V23, P1080, DOI 10.1111/j.1523-1739.2009.01264.x
   McDaniels T, 2012, RISK ANAL, V32, P2098, DOI 10.1111/j.1539-6924.2012.01822.x
   Meine Curt, 2015, After Preservation, P84
   Millar CI, 2007, ECOL APPL, V17, P2145, DOI 10.1890/06-1715.1
   Miller B, 2014, ANIM CONSERV, V17, P509, DOI 10.1111/acv.12127
   Morton O., 2015, PLANET REMADE GEOENG, DOI [10.1515/9781400874453, DOI 10.1515/9781400874453]
   Moser SC, 2014, WIRES CLIM CHANGE, V5, P337, DOI 10.1002/wcc.276
   Oliver TH, 2012, J APPL ECOL, V49, P1247, DOI 10.1111/1365-2664.12003
   Palmer C, 2014, ENVIRON VALUE, V23, P641, DOI 10.3197/096327114X13947900181833
   Park A, 2012, FOREST CHRON, V88, P412, DOI 10.5558/tfc2012-077
   Pedlar JH, 2012, BIOSCIENCE, V62, P835, DOI 10.1525/bio.2012.62.9.10
   Peterson St-Laurent G, **DROPPED REF**
   Prober SM, 2019, ECOL MONOGR, V89, DOI 10.1002/ecm.1333
   Román-Palacios C, 2020, P NATL ACAD SCI USA, V117, P4211, DOI 10.1073/pnas.1913007117
   Satterfield T, 1998, SOC NATUR RESOUR, V11, P629, DOI 10.1080/08941929809381108
   Satterfield T, 2013, SCI PUBL POLICY, V40, DOI 10.1093/scipol/scs084
   Serrouya R, 2019, P NATL ACAD SCI USA, V116, P6181, DOI 10.1073/pnas.1816923116
   Shrum T, 2020, IN PRESS
   Slovic P., 1997, Psychological Perspectives to Environmental and Ethical Issues in Management, P277
   Slovic P, 2015, ILLINOIS LAW REV SLI, V24
   Slovic P., 2000, The Perception of Risk, DOI [10.4324/9781315661773, DOI 10.4324/9781315661773]
   Slovic P, 2007, EUR J OPER RES, V177, P1333, DOI 10.1016/j.ejor.2005.04.006
   Sousa-Silva R, 2016, FOR ECOSYST, V3, DOI 10.1186/s40663-016-0082-7
   St-Laurent GP, 2018, CLIMATIC CHANGE, V151, P573, DOI 10.1007/s10584-018-2310-3
   STEEL BS, 1994, SOC NATUR RESOUR, V7, P137, DOI 10.1080/08941929409380852
   Stein BA., 2013, SUCCESSFUL ADAPTATIO, P50
   Stritch L, 2011, IUCN RED LIST THREAT, V2011
   Tam J, 2013, ENVIRON SCI POLICY, V27, P114, DOI 10.1016/j.envsci.2012.12.004
   Walters C., 1986, ADAPTIVE MANAGEMENT
   Walters Carl, 1997, Conservation Ecology, V1, pUnpaginated
NR 81
TC 9
Z9 9
U1 4
U2 17
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 MAY
PY 2021
VL 166
IS 1-2
AR 2
DI 10.1007/s10584-021-03102-3
PG 21
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 RW5IN
UT WOS:000646556000002
DA 2025-01-10
ER

PT J
AU Demichelis, C
   Oszwald, J
   Gasquet-Blanchard, C
   Narat, V
   Bokika, JC
   Pennec, F
   Giles-Vernick, T
AF Demichelis, Christophe
   Oszwald, Johan
   Gasquet-Blanchard, Clelia
   Narat, Victor
   Bokika, Jean-Christophe
   Pennec, Flora
   Giles-Vernick, Tamara
TI Multidimensional analysis of landscape dynamics in a Central African
   forest-savannah mosaic
SO AFRICAN JOURNAL OF ECOLOGY
LA English
DT Article
DE land cover; land unit; land use; landscape; local knowledge; remote
   sensing; socio-ecological system
ID LOCAL ECOLOGICAL KNOWLEDGE; CLIMATE-CHANGE ADAPTATION; REMOTE-SENSING
   ANALYSIS; LAND-COVER; VEGETATION; CLASSIFICATION; MAP; DEGRADATION;
   SENTINEL-2; SCIENCE
AB Most landscape cover assessments for conservation programmes rely largely on remote sensing analyses. These analyses, however, neglect how people inhabiting protected zones perceive and structure land cover. Using socio-ecological systems (SES) analysis in a forest-savannah mosaic on the Congo Basin forest edge (Democratic Republic of Congo), we investigated how human practices, landscape perceptions and land use patterns affected forest cover. We conducted remote sensing analysis using a Sentinel-2 satellite image and 187 GPS landmarks, producing a land cover map with 11 classes. Our results yielded an 81.85% correspondence with additional 164 GPS landmarks, a robust score in tropical areas. We conducted 40 individual interviews, eighteen focus group discussion workshops and nine months of participant observation of human practices to identify 19 land units and elaborate a granular SES system structuring the landscape. Integrating local knowledge and practices with general ecological and agronomic processes, we developed a landscape dynamics model revealing progressive forest colonisation of savannahs. Our methods demonstrate that a forest-edge landscape cover evaluation through remote sensing and local knowledge can contribute to finer-grained assessment of land cover and ecosystem services. This assessment can assist conservation efforts by considering local populations' practices on and perceptions of landscape change.
C1 [Demichelis, Christophe; Gasquet-Blanchard, Clelia] Univ Rennes, UMR CNRS 6590, Lab ESO, Rennes, France.
   [Oszwald, Johan] Univ Rennes, UMR CNRS 6554, Lab LETG, Rennes, France.
   [Gasquet-Blanchard, Clelia] Ecole Hautes Etud Sante Publ, Rennes, France.
   [Narat, Victor; Giles-Vernick, Tamara] Inst Pasteur, Unite Anthropol & Ecol Emergence Malad, Paris, France.
   [Narat, Victor; Pennec, Flora] CNRS, MNHN, Paris Diderot, Paris, France.
   [Bokika, Jean-Christophe] ONG Mbou Mon Tour, Nkala, DEM REP CONGO.
C3 Universite de Rennes; Universite de Rennes; Pasteur Network; Universite
   Paris Cite; Institut Pasteur Paris; Museum National d'Histoire Naturelle
   (MNHN); Centre National de la Recherche Scientifique (CNRS); Universite
   Paris Cite
RP Demichelis, C (corresponding author), Univ Rennes, UMR CNRS 6590, Lab ESO, Rennes, France.
EM christophe.demichelis@gmail.com
OI Demichelis, Christophe/0000-0001-7137-6724; Giles-Vernick,
   Tamara/0000-0003-2873-8544
FU French National Research Agency/Agence Nationale de la Recherche
   [ANR-14-CE31-0004]; Agence Nationale de la Recherche (ANR)
   [ANR-14-CE31-0004] Funding Source: Agence Nationale de la Recherche
   (ANR)
FX This work was supported by the French National Research Agency/Agence
   Nationale de la Recherche [grant number ANR-14-CE31-0004].
CR Adams P. C., 2017, International Encyclopedia of Geography: People, the Earth, Environment and Technology, P1, DOI [10.1002/9781118786352.wbieg0441, DOI 10.1002/9781118786352.WBIEG0441]
   Agrawal A, 2001, POLIT SOC, V29, P485, DOI 10.1177/0032329201029004002
   Alexander C, 2011, BIOSCIENCE, V61, P477, DOI 10.1525/bio.2011.61.6.10
   Anik SI, 2012, MITIG ADAPT STRAT GL, V17, P879, DOI 10.1007/s11027-011-9350-6
   [Anonymous], 2002, CUTTING VINES ENV HI
   [Anonymous], 1993, AMBIO
   Appiah Mark, 2009, Environment Development and Sustainability, V11, P471, DOI 10.1007/s10668-007-9125-0
   Atta J., 2007, TELEDETECTION, V7, P271
   Azzurro E, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024885
   Barbosa CCD, 2015, ECOL INDIC, V52, P430, DOI 10.1016/j.ecolind.2015.01.007
   Beaudreau AH, 2014, ECOL APPL, V24, P244, DOI 10.1890/13-0817.1
   Berkes F., 2008, Navigating social-ecological systems: building resilience for complexity and change, P1
   Bolyn C, 2018, BIOTECHNOL AGRON SOC, V22, P172
   Bourbier L, 2013, BOIS FOR TROP, P3
   Bucini G, 2002, APPL GEOGR, V22, P27, DOI 10.1016/S0143-6228(01)00020-0
   Chalmers N, 2007, ECOL SOC, V12
   Clec'h SL., 2013, BOIS FOR TROP, V316, P35, DOI [10.19182/bft2013.316.a20529, DOI 10.19182/BFT2013.316.A20529]
   Council of Europe, 2000, 176 STE COUNC EUR
   Del Rio T, 2018, DATA BRIEF, V19, P2297, DOI 10.1016/j.dib.2018.07.009
   Demaze MT., 2011, REV TELEDETECTION RE, V9, P245
   Eva H, 2000, J BIOGEOGR, V27, P765, DOI 10.1046/j.1365-2699.2000.00441.x
   Fairhead J, 2005, LAND USE POLICY, V22, P33, DOI 10.1016/j.landusepol.2003.08.004
   Fleuret S., 2019, ABECEDAIRE GEOGRAPHI, P99
   Frampton WJ, 2013, ISPRS J PHOTOGRAMM, V82, P83, DOI 10.1016/j.isprsjprs.2013.04.007
   Franklin SE, 2002, PROG PHYS GEOG, V26, P173, DOI 10.1191/0309133302pp332ra
   Gagnon CA, 2009, ECOL SOC, V14
   Gibbs HK, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/4/045023
   Gilchrist G, 2005, ECOL SOC, V10
   Giles-Vernick T, 2015, SOC SCI MED, V129, P20, DOI 10.1016/j.socscimed.2014.03.008
   Gómez-Baggethun E, 2013, ECOL SOC, V18, DOI 10.5751/ES-06288-180472
   Gond V., 2016, BOT 21 CENTURY ROLES, P112
   GOND V, 2003, BOIS FOR TROP, V275, P29
   Huntington HP, 2000, ECOL APPL, V10, P1270, DOI 10.1890/1051-0761(2000)010[1270:UTEKIS]2.0.CO;2
   Jiang H, 2003, HUM ECOL, V31, P215, DOI 10.1023/A:1023980713048
   Kerr JT, 2003, TRENDS ECOL EVOL, V18, P299, DOI 10.1016/S0169-5347(03)00071-5
   Kumpula T, 2010, ARCTIC, V63, P165
   Langlois E., 2008, C TRAV ESP METH DIM
   LAPORTE N, 1995, INT J REMOTE SENS, V16, P1127, DOI 10.1080/01431169508954467
   Lauer M, 2009, AM ANTHROPOL, V111, P317, DOI 10.1111/j.1548-1433.2009.01135.x
   Leonard S, 2013, GLOBAL ENVIRON CHANG, V23, P623, DOI 10.1016/j.gloenvcha.2013.02.012
   Liu JG, 2007, AMBIO, V36, P639, DOI 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2
   Mayaux P, 1999, J BIOGEOGR, V26, P353, DOI 10.1046/j.1365-2699.1999.00270.x
   Mayaux P, 2004, J BIOGEOGR, V31, P861, DOI 10.1111/j.1365-2699.2004.01073.x
   Mayaux P., 1999, SEM FORAFRI LIBR
   Mayaux P., 2003, BOIS FOR TROP, V277, P45, DOI [10.19182/bft2003.277.a20183, DOI 10.19182/BFT2003.277.A20183]
   Mayaux P., 2007, QUELLES AIRES PROTEG, P320, DOI [10.4000/books.irdeditions.8051, DOI 10.4000/BOOKS.IRDEDITI0NS.8051]
   Mistry J, 2016, SCIENCE, V352, P1274, DOI 10.1126/science.aaf1160
   Moller H, 2004, ECOL SOC, V9
   Narat V, 2015, J PRIMATOLOGY, V4, P2
   Narat V, 2015, PRIMATES, V56, P339, DOI 10.1007/s10329-015-0476-0
   NDa HD., 2008, T L D TECTION, V8, P17
   Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133
   Oszwald J., 2015, DESCRIPTION ELEMENTS
   Paige SB, 2017, ECOHEALTH, V14, P88, DOI 10.1007/s10393-016-1194-9
   Pennec F, 2016, PLANT ECOL EVOL, V149, P199, DOI 10.5091/plecevo.2016.1157
   Potapov P, 2008, ECOL SOC, V13, DOI 10.5751/es-02670-130251
   Redman CL, 2004, ECOSYSTEMS, V7, P161, DOI 10.1007/s10021-003-0215-z
   Roth R., 2004, ASIA PAC VIEWP, V45, P13, DOI DOI 10.1111/J.1467-8376.2004.00225.X
   Salovaara KJ, 2005, REMOTE SENS ENVIRON, V97, P39, DOI 10.1016/j.rse.2005.04.013
   Sano EE, 2010, ENVIRON MONIT ASSESS, V166, P113, DOI 10.1007/s10661-009-0988-4
   Silvano Renato A. M., 2008, Environment Development and Sustainability, V10, P657, DOI 10.1007/s10668-008-9149-0
   Smith HA, 2012, WIRES CLIM CHANGE, V3, P467, DOI 10.1002/wcc.185
   Sulieman HM, 2013, PASTORALISM, V3, DOI 10.1186/2041-7136-3-22
   Sutton PC, 2002, ECOL ECON, V41, P509, DOI 10.1016/S0921-8009(02)00097-6
   Tahir N., 2017, J. Drylands Kindeya Gebrehiwot, V7, P582
   Vancutsem C, 2009, INT J APPL EARTH OBS, V11, P62, DOI 10.1016/j.jag.2008.08.001
   West P., 2006, CONSERVATION IS OUR
   West P, 2006, ANNU REV ANTHROPOL, V35, P251, DOI 10.1146/annurev.anthro.35.081705.123308
   Yiran GAB, 2012, INT J APPL EARTH OBS, V14, P204, DOI 10.1016/j.jag.2011.09.016
NR 69
TC 3
Z9 3
U1 1
U2 23
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0141-6707
EI 1365-2028
J9 AFR J ECOL
JI Afr. J. Ecol.
PD DEC
PY 2020
VL 58
IS 4
BP 692
EP 708
DI 10.1111/aje.12750
EA MAY 2020
PG 17
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA PD1AB
UT WOS:000535287200001
OA Green Submitted
DA 2025-01-10
ER

PT J
AU Cradock-Henry, NA
   Connolly, J
   Blackett, P
   Lawrence, J
AF Cradock-Henry, Nicholas A.
   Connolly, Justin
   Blackett, Paula
   Lawrence, Judy
TI Elaborating a systems methodology for cascading climate change impacts
   and implications
SO METHODSX
LA English
DT Article
DE Climate change adaptation; Vulnerability; Systems thinking; Feedback;
   Complex problems
ID ADAPTATION PATHWAYS; VULNERABILITY; RESILIENCE; KNOWLEDGE; MITIGATION;
   DISASTERS; RESPONSES; LOSSES; SCALE
AB New research is drawing attention to the potential for climate change to generate cascading impacts and implications across linked human-environment systems, requiring closer accounting of these interactions to anticipate the emergence of surprises and feedbacks. However, there is little practical guidance for those interested in characterising, identifying or assessing cascades, and few empirical examples. In this paper, we elaborate a systems-based methodology to identify and evaluate cascading climate change impacts and implications. We illustrate its application using the case of a participatory process with urban infrastructure managers, facing the legacy effects of damaging earthquakes and the prospect of future climate change. The results show the proposed approach and visualisation of cascades as causal diagrams provides a robust and flexible analytical framework. The use of systems thinking, visual aids, interactive discussion and expert elicitation generated valuable information about potential cascades, their interactions across domains of interest, and the implications for management. The process can provide a basis for further empirical application and advance methodological and conceptual development.
   Specifically, the systems methodology:
   Identifies interdependencies and interconnections which may serve as transmission pathways for climaterelated impacts;
   Enhanced stakeholders' understanding of multiple causes and effects of climate change; and
   Produced a useful visual aid for stakeholders to explore cascading impacts and implications, and opportunities for intervention. (C) 2020 The Author(s). Published by Elsevier B.V.
C1 [Cradock-Henry, Nicholas A.] Manaaki Whenua Landcare Res, Lincoln, New Zealand.
   [Connolly, Justin] Deliberate Consulting, Hamilton, New Zealand.
   [Blackett, Paula] Natl Inst Water & Atmosphere, Hamilton, New Zealand.
   [Lawrence, Judy] Victoria Univ Wellington, Wellington, New Zealand.
C3 Landcare Research - New Zealand; National Institute of Water &
   Atmospheric Research (NIWA) - New Zealand; Victoria University
   Wellington
RP Cradock-Henry, NA (corresponding author), Manaaki Whenua Landcare Res, Lincoln, New Zealand.
EM cradockhenryn@landcareresearch.co.nz
RI Lawrence, Judy/W-9823-2019
OI Connolly, Justin/0000-0002-0644-541X; Cradock-Henry,
   Nicholas/0000-0002-4409-9976
FU Deep South National Science Challenge Cascading climate change impacts
   in Aotearoa-New Zealand project; MBIE [CO1 x1412]
FX The authors were funded by the Deep South National Science Challenge
   Cascading climate change impacts in Aotearoa-New Zealand project. MBIE
   Contract #CO1 x1412. The authors thank all research participants for
   their contributions.
CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133
   Adler C, 2018, SUSTAIN SCI, V13, P179, DOI 10.1007/s11625-017-0444-2
   AghaKouchak A, 2018, NATURE, V561, P458, DOI 10.1038/d41586-018-06783-6
   Alexander D, 2018, INT J DISAST RISK RE, V30, P180, DOI 10.1016/j.ijdrr.2018.03.006
   Anderies JM, 2013, POLICY STUD J, V41, P513, DOI 10.1111/psj.12027
   [Anonymous], 2016, C01X1225 MBIE
   Arnell NW, 2014, CLIMATIC CHANGE, V122, P127, DOI 10.1007/s10584-013-0948-4
   Bennett NJ, 2016, ENVIRON DEV SUSTAIN, V18, P1771, DOI 10.1007/s10668-015-9707-1
   Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100
   Challinor AJ, 2018, PHILOS T R SOC A, V376, DOI 10.1098/rsta.2017.0301
   Chappin EJL, 2014, UTIL POLICY, V31, P10, DOI 10.1016/j.jup.2014.07.003
   Checkland P, 2007, INTEGR SER INFORM SY, V13, P3, DOI 10.1007/978-0-387-36060-7_1
   Ciobanu N, 2021, ENVIRON DEV SUSTAIN, V23, P1065, DOI 10.1007/s10668-020-00590-8
   Coulter L, 2019, FUTURES, V111, P57, DOI 10.1016/j.futures.2019.05.004
   Cradock-Henry NA, 2020, ENVIRON SCI POLICY, V107, P66, DOI 10.1016/j.envsci.2020.02.020
   Cutter SL, 2015, NATURE, V522, P277, DOI 10.1038/522277a
   Fekete A, 2014, INT J DISAST RISK SC, V5, P88, DOI 10.1007/s13753-014-0012-7
   Galaz V, 2011, PUBLIC ADMIN, V89, P361, DOI 10.1111/j.1467-9299.2010.01883.x
   Gall M, 2011, SUSTAINABILITY-BASEL, V3, P2157, DOI 10.3390/su3112157
   Gill JC, 2016, EARTH SYST DYNAM, V7, P659, DOI 10.5194/esd-7-659-2016
   Gillard R, 2016, WIRES CLIM CHANGE, V7, P251, DOI 10.1002/wcc.384
   Gouttenoire L, 2013, AGRON SUSTAIN DEV, V33, P413, DOI 10.1007/s13593-012-0112-y
   Hilly G, 2018, WATER-SUI, V10, DOI 10.3390/w10010081
   Horcea-Milcu AI, 2020, ECOL SOC, V25, DOI 10.5751/ES-11332-250113
   Hounjet M. W. A., 2016, COAST MANAGE, P407, DOI [10.1680/cm.61149.407, DOI 10.1680/CM.61149.407]
   Irwin Elena., 2016, Journal of Environmental Studies and Sciences, V6, P127, DOI [DOI 10.1007/S13412-016-0375-8, 10.1007/s13412016-03758]
   Ison R, 2010, SYSTEMS PRACTICE: HOW TO ACT IN A CLIMATE-CHANGE WORLD, P1, DOI 10.1007/978-1-84996-125-7
   Jones MD, 2017, PALGR COMMUN, V3, DOI 10.1057/s41599-017-0047-7
   Kachali H, 2018, INT J DISAST RISK RE, V30, P281, DOI 10.1016/j.ijdrr.2018.01.029
   Keys PW, 2019, NAT SUSTAIN, V2, P667, DOI 10.1038/s41893-019-0327-x
   Kinzig AP, 2006, ECOL SOC, V11
   Koks E, 2018, NAT CLIM CHANGE, V8, P561, DOI 10.1038/s41558-018-0185-y
   Lawrence J., 2019, CLIMATE CHANGE CASCA
   Lawrence J, 2020, CLIM RISK MANAG, V29, DOI 10.1016/j.crm.2020.100234
   Maani K.E., 2007, Systems thinking, system dynamics: Managing change and complexity
   Maru YT, 2014, GLOBAL ENVIRON CHANG, V28, P337, DOI 10.1016/j.gloenvcha.2013.12.007
   Monk A., 1998, Interactions, V5, P21, DOI [DOI 10.1145/274430.274434, https://doi.org/10.1145/274430.274434]
   Oulahen G, 2019, REG ENVIRON CHANGE, V19, P867, DOI 10.1007/s10113-018-1440-5
   Peregrine PN, 2018, WEATHER CLIM SOC, V10, P145, DOI 10.1175/WCAS-D-17-0052.1
   Pescaroli G, 2018, INT J DISAST RISK RE, V30, P159, DOI 10.1016/j.ijdrr.2018.07.004
   Pescaroli G, 2016, NAT HAZARDS, V82, P175, DOI 10.1007/s11069-016-2186-3
   Räsänen A, 2016, REG ENVIRON CHANGE, V16, P2291, DOI 10.1007/s10113-016-0974-7
   Raudsepp-Hearne C, 2020, SUSTAIN SCI, V15, P605, DOI 10.1007/s11625-019-00714-8
   Rodriguez D, 2011, FIELD CROP RES, V124, P157, DOI 10.1016/j.fcr.2011.02.012
   Ross H, 2015, CLIMATIC CHANGE, V129, P27, DOI 10.1007/s10584-014-1318-6
   Saier MH, 2007, WATER AIR SOIL POLL, V181, P1, DOI 10.1007/s11270-007-9372-6
   Scott RJ, 2016, EUR J OPER RES, V249, P908, DOI 10.1016/j.ejor.2015.06.078
   Sendzimir J, 2008, ECOL SOC, V13
   Senge P. M., 2006, 5 DISCIPLINE
   Shongwe MI, 2018, SYST PRACT ACT RES, V31, P75, DOI 10.1007/s11213-017-9418-7
   Tanner T, 2015, NAT CLIM CHANGE, V5, P23, DOI 10.1038/NCLIMATE2431
   Turner BL, 2016, RESOURCES-BASEL, V5, DOI 10.3390/resources5040040
   van den Belt M., 2004, Mediated Modeling: A system dynamics approach to environmental consensus building
   van der Merwe L., 2019, Systemic Change Journal, P1
   Vennix JAM, 1999, SYST DYNAM REV, V15, P379, DOI 10.1002/(SICI)1099-1727(199924)15:4<379::AID-SDR179>3.0.CO;2-E
   Walker BH, 2009, ECOL SOC, V14
   Williams A, 2017, J CLEAN PROD, V148, P866, DOI 10.1016/j.jclepro.2017.02.002
   Yu F, 2018, INT J DISAST RISK RE, V30, P244, DOI 10.1016/j.ijdrr.2018.04.012
NR 58
TC 22
Z9 22
U1 3
U2 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2215-0161
J9 METHODSX
JI MethodsX
PY 2020
VL 7
AR 100893
DI 10.1016/j.mex.2020.100893
PG 11
WC Multidisciplinary Sciences
WE Emerging Sources Citation Index (ESCI)
SC Science & Technology - Other Topics
GA PS0YM
UT WOS:000607657900007
PM 32368509
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Plummer, R
   Baird, J
   Dzyundzyak, A
   Armitage, D
   Bodin, O
   Schultz, L
AF Plummer, Ryan
   Baird, Julia
   Dzyundzyak, Angela
   Armitage, Derek
   Bodin, Orjan
   Schultz, Lisen
TI Is Adaptive Co-management Delivering? Examining Relationships Between
   Collaboration, Learning and Outcomes in UNESCO Biosphere Reserves
SO ECOLOGICAL ECONOMICS
LA English
DT Article
DE Adaptive co-management; Adaptive govemance; Collaboration; Evaluation;
   Learning; Outcomes
ID NATURAL-RESOURCE MANAGEMENT; SOCIAL-ECOLOGICAL SYSTEMS; CLIMATE-CHANGE
   ADAPTATION; KRISTIANSTADS-VATTENRIKE; ENVIRONMENTAL OUTCOMES; ECOSYSTEM
   MANAGEMENT; GOVERNANCE; RESILIENCE; LEGITIMACY; DELIBERATION
AB This paper examines relationships among perceived processes and outcomes in four UNESCO biosphere reserves (BRs). BRs offer a unique opportunity to examine these relationships because they aim to foster more adaptive and collaborative forms of management, i.e. adaptive co-management (ACM). Accounting for the outcomes of ACM is a difficult task and little progress has been made to this end. However, we show here that ACM efforts in all four BRs had a myriad of positive results as well as ecological and livelihood effects. Process variables of collaboration and learning explained over half (54.6%) of the variability in results and over one third (35.1%) of the variability in effects. While the overall models for outcomes and subsequent process were not significant, the regressions revealed predictive potential for both process variables. Our analysis highlights that a better process is associated with more positive outcomes and that collaboration and learning make unique contributions to outcomes. Opportunities for quantitative techniques to be utilized in understanding, the dynamics of ACM are illustrated. Understanding relationships between process and outcomes (and vice versa) provides a sound basis to answer critiques, enhances accountability, and maximizes the potential of positive impacts for ecosystems and humans. (C) 2017 The Authors. Published by Elsevier B.V.
C1 [Plummer, Ryan; Baird, Julia; Dzyundzyak, Angela] Brock Univ, Environm Sustainabil Res Ctr, 1812 Sir Isaac Brock Way, St Catharines, ON L2S 3A1, Canada.
   [Plummer, Ryan; Bodin, Orjan; Schultz, Lisen] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
   [Armitage, Derek] Univ Waterloo, Sch Environm Resources & Sustainabil, Waterloo, ON N2L 3G1, Canada.
C3 Brock University; Stockholm University; University of Waterloo
RP Plummer, R (corresponding author), Brock Univ, Environm Sustainabil Res Ctr, 1812 Sir Isaac Brock Way, St Catharines, ON L2S 3A1, Canada.
EM rplummer@brocku.ca
RI Armitage, Derek/ABE-6315-2020; Bodin, Orjan/A-5098-2010
OI Armitage, Derek/0000-0002-8921-1693; Bodin, Orjan/0000-0002-8218-1153;
   Schultz, Lisen/0000-0003-4763-8872; Baird, Julia/0000-0002-2580-5361
FU Vetenskapsradet; Swedish Research Council [2012-5498]; MISTRA
FX This research has been made possible by funding received from
   Vetenskapsradet, the Swedish Research Council, grant 2012-5498. We also
   acknowledge funding by MISTRA through a core grant to Stockholm
   Resilience Centre. We gratefully acknowledge participation in this
   research by the managers and others from the Frontenac Arch, Georgian
   Bay, Kristianstads Vattenrike, and Ostra Vatterbranterna Biosphere
   Reserves. Our appreciation is also extended to our colleague, Beatrice
   Crona, for her constructive insights with conceptualizing the research
   project. Finally, we wish to thank Disa Hansson, Malena Heinrup, Katrina
   Krievins, Flor de Luna Estrada and Kerrie Pickering for research
   assistance.
CR Armitage D., 2007, ADAPTIVE COMANAGEMEN, P62
   Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002
   Armitage Derek., 2007, ADAPTIVE COMANAGEMEN, P1
   Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089
   Baird J., 2016, REG ENVIRON CHANGE, V16, P747, DOI [DOI 10.1007/s10113-015-0790-5, 10.1007/s10113-015-0790-5]
   Baird J, 2016, SOC NATUR RESOUR, V29, P1214, DOI 10.1080/08941920.2015.1107788
   Baird J, 2014, GLOBAL ENVIRON CHANG, V27, P51, DOI 10.1016/j.gloenvcha.2014.04.019
   Bellamy JA, 2001, J ENVIRON MANAGE, V63, P407, DOI 10.1006/jema.2001.0493
   Bennett NJ, 2016, CONSERV BIOL, V30, P582, DOI 10.1111/cobi.12681
   Berkes F., 2007, Adaptive co-management: collaboration, learning and multi-level governance, P308
   Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001
   Biddle JC, 2014, J ENVIRON MANAGE, V145, P268, DOI 10.1016/j.jenvman.2014.06.029
   Birnbaum S, 2015, POLICY SCI, V48, P443, DOI 10.1007/s11077-015-9230-0
   Bodin O., 2011, Social networks and natural resource management: uncovering the social fabric of environmental governance, P3, DOI [DOI 10.1017/CBO9780511894985.002, 10.1017/CBO9780511894985.002]
   Borgatti S. P., 1998, CONNECT, V21, P24
   Bryan TA, 2004, SOC NATUR RESOUR, V17, P881, DOI 10.1080/08941920490505284
   Butler JRA, 2016, CLIM RISK MANAG, V12, P1, DOI 10.1016/j.crm.2016.01.001
   Butler JRA, 2015, J ENVIRON MANAGE, V160, P212, DOI 10.1016/j.jenvman.2015.06.019
   Campbell B., 2002, Conservation Ecology, V5, P1
   Canadian Thousand Islands Heritage Conservancy, 2002, CAN 1000 ISL
   Chess C., 2000, J ENVIRON PLANN MAN, V43, P769, DOI DOI 10.1080/09640560020001674
   Colfer CarolJ. Pierce., 2005, COMPLEX FOREST COMMU
   Conley A, 2003, SOC NATUR RESOUR, V16, P371, DOI 10.1080/08941920309181
   Connick S., 2003, Journal of Environmental Planning and Management, V46, P177, DOI 10.1080/0964056032000070987
   Cox S.A., 2010, P GULF CARIBBEAN FIS, V62, P420
   Cundill G, 2010, ECOL SOC, V15
   Fabricius C., 2015, Adaptive Management of Social-Ecological Systems, P147, DOI [10.1007/978-94-017-9682-89, DOI 10.1007/978-94-017-9682-8_9]
   Fabricius C, 2007, ECOL SOC, V12
   Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511
   Frame T. M., 2004, Journal of Environmental Planning and Management, V47, P59, DOI 10.1080/0964056042000189808
   Frontenac Arch Biosphere Network, 2013, FRONT ARCH BIOSPH GO
   Galaz V, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P147
   Georgian Bay Biosphere Reserve Inc, 2011, STRAT PLAN 2011
   Georgian Bay Littoral Biosphere Reserve, 2004, NOM SUBM CAN GEOG BA
   Gondo Tendayi, 2011, Journal of Human Ecology, V33, P119
   Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112
   Innes JE, 1999, J AM PLANN ASSOC, V65, P412, DOI 10.1080/01944369908976071
   Jonegard S., 2011, E VATTERN SCARP LAND
   Kellert SR, 2000, SOC NATUR RESOUR, V13, P705, DOI 10.1080/089419200750035575
   Kristianstads Vattenrike, 2009, BIOSF KRIST VATT HAN
   Lundmark C, 2014, EUR J WILDLIFE RES, V60, P637, DOI 10.1007/s10344-014-0827-y
   Magnusson S. E., 2005, KRISTIANSTADS VATTEN
   Mandarano LA, 2008, J PLAN EDUC RES, V27, P456, DOI 10.1177/0739456X08315888
   Nadasdy P., 2003, HUNTERS BUREAUCRATS
   Nadasdy Paul., 2007, ADAPTIVE COMANGAGEME, P208
   Natcher DC, 2005, HUM ORGAN, V64, P240, DOI 10.17730/humo.64.3.23yfnkrl2ylapjxw
   Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7
   Olsson P, 2007, ECOL SOC, V12
   Olsson P, 2006, ECOL SOC, V11, DOI 10.5751/ES-01595-110118
   Ostra Vatterbranterna, 2011, VIS MISS STAT COR VA
   Plummer R., 2007, ADAPTIVE COMANAGEMEN, P38
   Plummer R., 2014, DISCUSSION PAPER SER, V245
   Plummer R, 2007, ECOL SOC, V12
   Plummer R, 2007, ECOL ECON, V61, P62, DOI 10.1016/j.ecolecon.2006.09.025
   Plummer R, 2012, ECOL SOC, V17, DOI 10.5751/ES-04952-170311
   Plummer R, 2009, ECOL SOC, V14
   Sandström A, 2014, ENVIRON POLICY GOV, V24, P60, DOI 10.1002/eet.1633
   Schultz L., 2009, Nurturing resilience in social-ecological systems: Lessons learned from bridging organizations
   Schultz L, 2007, ENVIRON CONSERV, V34, P140, DOI 10.1017/S0376892907003876
   Schultz L, 2011, WORLD DEV, V39, P662, DOI 10.1016/j.worlddev.2010.09.014
   Scott T, 2015, J POLICY ANAL MANAG, V34, P537, DOI 10.1002/pam.21836
   Smedstad JA, 2013, ECOL SOC, V18, DOI 10.5751/ES-05793-180408
   Trimble M., 2015, 15 BIENN GLOB C INT
NR 63
TC 76
Z9 84
U1 4
U2 51
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0921-8009
EI 1873-6106
J9 ECOL ECON
JI Ecol. Econ.
PD OCT
PY 2017
VL 140
BP 79
EP 88
DI 10.1016/j.ecolecon.2017.04.028
PG 10
WC Ecology; Economics; Environmental Sciences; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Business & Economics
GA EY4ZX
UT WOS:000403988100008
OA hybrid
DA 2025-01-10
ER

PT J
AU Petit-Boix, A
   Sevigné-Itoiz, E
   Rojas-Gutierrez, LA
   Barbassa, AP
   Josa, A
   Rieradevall, J
   Gabarrell, X
AF Petit-Boix, Anna
   Sevigne-Itoiz, Eva
   Avelina Rojas-Gutierrez, Lorena
   Barbassa, Ademir Paceli
   Josa, Alejandro
   Rieradevall, Joan
   Gabarrell, Xavier
TI Environmental and economic assessment of a pilot stormwater infiltration
   system for flood prevention in Brazil
SO ECOLOGICAL ENGINEERING
LA English
DT Article
DE Life Cycle Assessment; Life Cycle Costing; Best Management Practices;
   Climate change adaptation; Urban flood; Filter, swale and infiltration
   trench
ID LIFE-CYCLE ASSESSMENT; CLIMATE-CHANGE; GREEN; URBANIZATION; PERFORMANCE
AB Green and grey stormwater management infrastructures, such as the filter, swale and infiltration trench (FST), can be used to prevent flooding events. The aim of this paper was to determine the environmental and economic impacts of a pilot FST that was built in Sao Carlos (Brazil) using Life Cycle Assessment (LCA) and Life Cycle Costing (LCC). As a result, the components with the greatest contributions to the total impacts of the FST were the infiltration trench and the grass cover. The system has a carbon footprint of 0.13 kg CO2 eq./m(3) of infiltrated stormwater and an eco-efficiency ratio of 0.35 kg CO2 eq./USD. Moreover, the FST prevented up to 95% of the runoff in the area. Compared to a grey infrastructure, this system is a good solution with respect to PVC stormwater pipes, which require a long pipe length (1070 m) and have a shorter lifespan. In contrast, concrete pipes are a better solution, and their impacts are similar to those of the FST. Finally, a sensitivity analysis was conducted to assess the changes in the impacts with the varying lifespan of the system components. Thus, the proper management of the FST can reduce the economic and environmental impacts of the system by increasing its durability. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Petit-Boix, Anna; Sevigne-Itoiz, Eva; Rieradevall, Joan; Gabarrell, Xavier] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Sostenipra ICTA IRTA Inedit SGR 1412 2014, E-08193 Barcelona, Spain.
   [Avelina Rojas-Gutierrez, Lorena] Univ Sao Paulo, Sanit & Hydraul Engn Dept, Sao Carlos, SP, Brazil.
   [Barbassa, Ademir Paceli] Univ Fed Sao Carlos, Dept Civil Engn, BR-13560 Sao Carlos, SP, Brazil.
   [Josa, Alejandro] UPC BarcelonaTech, Sch Civil Engn, Dept Geotechn Engn & Geosci, Barcelona, Spain.
   [Josa, Alejandro] UPC BarcelonaTech, Sch Civil Engn, IS UPC, Barcelona, Spain.
   [Rieradevall, Joan; Gabarrell, Xavier] Univ Autonoma Barcelona, Sch Engn ETSE, XRB, Dept Chem Engn, E-08193 Barcelona, Spain.
C3 IRTA; Autonomous University of Barcelona; Universidade de Sao Paulo;
   Universidade Federal de Sao Carlos; Universitat Politecnica de
   Catalunya; Universitat Politecnica de Catalunya; Autonomous University
   of Barcelona
RP Petit-Boix, A (corresponding author), Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Sostenipra ICTA IRTA Inedit SGR 1412 2014, Edifici ICTA ICP, E-08193 Barcelona, Spain.
EM anna.petit@uab.cat
RI Boix, Anna/AAM-2875-2020; Rieradevall, Joan/AAB-6993-2022; Gabarrell
   Durany, Xavier/F-5575-2011; Petit Boix, Anna/I-6525-2015; Josa,
   Alejandro/E-7417-2016
OI Gabarrell Durany, Xavier/0000-0003-1730-4337; Petit Boix,
   Anna/0000-0003-2048-2708; Josa, Alejandro/0000-0003-1180-7910; Sevigne,
   Eva/0000-0002-7356-4048
FU Spanish (MECD) [HBP-2012-0216]; Brazilian Governments (CAPES) [5206];
   Spanish Ministry of Education [FPU13/01273]
FX The authors thank the project HBP-2012-0216 funded by the Spanish (MECD)
   and Brazilian Governments (CAPES ref. 5206.). The authors would also
   like to thank the Spanish Ministry of Education for the grant awarded to
   A. Petit-Boix (FPU13/01273) to conduct this research.
CR Angrill S, 2012, INT J LIFE CYCLE ASS, V17, P25, DOI 10.1007/s11367-011-0330-6
   [Anonymous], 2014, PENSANDO FOTOGRAFIA
   [Anonymous], STORMW BEST MAN PRAC
   [Anonymous], 2017, ISO 15686-5: 2017, ISO 15686-5: 2017
   [Anonymous], 2013, REV BRAS RECUR HIDRI, DOI DOI 10.21168/RBRH.V18N2.P225-236
   [Anonymous], SIMAPRO 7 2 0
   [Anonymous], 2009, Environmental Management, Life Cycle Assessment, Principles and Structure
   [Anonymous], 2014, WORLD EC OUTLOOK DAT
   Bouchard NR, 2013, ECOL ENG, V54, P227, DOI 10.1016/j.ecoleng.2013.01.018
   Building a Green Infrastructure for Europe, 2014, Publications Office of the EU, DOI DOI 10.2779/54125
   Butler David., 2000, URBAN DRAINAGE
   Chan ALS, 2013, ENERG BUILDINGS, V64, P182, DOI 10.1016/j.enbuild.2013.05.015
   De Sousa MRC, 2012, J IND ECOL, V16, P901, DOI 10.1111/j.1530-9290.2012.00534.x
   Deletic A, 2006, J HYDROL, V317, P261, DOI 10.1016/j.jhydrol.2005.05.021
   Doka G., 2003, 13 EC 4
   EA The Environment Agency, 2010, SC090018 EA
   Farreny R, 2011, RESOUR CONSERV RECY, V55, P686, DOI 10.1016/j.resconrec.2011.01.008
   Flynn KM, 2013, ECOL ENG, V55, P9, DOI 10.1016/j.ecoleng.2013.01.004
   Getter KL, 2007, ECOL ENG, V31, P225, DOI 10.1016/j.ecoleng.2007.06.004
   Getter KL, 2009, ENVIRON SCI TECHNOL, V43, P7564, DOI 10.1021/es901539x
   Goedkoop M., 2008, RECIPE 2008 LIFE CYC
   Hischier R., 2010, Implementation of life cycle impact assessment methods
   Kosareo L, 2007, BUILD ENVIRON, V42, P2606, DOI 10.1016/j.buildenv.2006.06.019
   Kundzewicz ZW, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P173
   Lee JY, 2013, ENVIRON POLLUT, V181, P257, DOI 10.1016/j.envpol.2013.06.039
   Llopart-Mascaro A., 2014, URBAN WATER J, P1
   Lü YH, 2012, ENVIRON SCI TECHNOL, V46, P4255, DOI 10.1021/es300911q
   Lucas A. H., 2011, THESIS U FEDERAL SAO
   Meehl GA, 2007, AR4 CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P747
   Mentens J, 2006, LANDSCAPE URBAN PLAN, V77, P217, DOI 10.1016/j.landurbplan.2005.02.010
   MetaBase ITeC, 2010, ONL ITEC DAT PRIC TE
   Ntelekos AA, 2010, CLIMATIC CHANGE, V103, P597, DOI 10.1007/s10584-009-9789-6
   Petit-Boix A, 2014, WATER RESOUR MANAG, V28, P979, DOI 10.1007/s11269-014-0528-z
   Risch E., 2011, LCM 2011 INT C LIF C
   Risch E, 2014, WATER RES, V57, P20, DOI 10.1016/j.watres.2014.03.023
   Saiz S, 2006, ENVIRON SCI TECHNOL, V40, P4312, DOI 10.1021/es0517522
   San Francisco Stormwater Design Guidelines, 2010, SAN FRANCISCO STORMW
   Semadeni-Davies A, 2008, J HYDROL, V350, P100, DOI 10.1016/j.jhydrol.2007.05.028
   SMRC The Stormwater Manager's Resource Center, 2014, STORMW MAN FACT SHEE
   Swiss Centre for Life Cycle Inventories, 2009, TECHNICAL REPORT
   United Nations Department of Economic and Social Affairs Population Division, 2012, WORLD URB PROSP 2011
   USEPA, 2014, GREENH GAS EQ CALC
   USEPA United States Environmental Protection Agency, 2013, BEST MAN PRACT BMPS
   Vargas-Parra MV, 2014, J WATER SUPPLY RES T, V63, P586, DOI 10.2166/aqua.2014.108
   Vargas-Parra MV, 2013, RESOUR CONSERV RECY, V72, P50, DOI 10.1016/j.resconrec.2012.12.008
   Wang RR, 2013, ENVIRON SCI TECHNOL, V47, P11189, DOI 10.1021/es4026547
   Wong NH, 2003, BUILD ENVIRON, V38, P261, DOI 10.1016/S0360-1323(02)00066-5
   Zhang Y, 2010, ENVIRON SCI TECHNOL, V44, P2232, DOI 10.1021/es9021156
NR 48
TC 22
Z9 23
U1 1
U2 65
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0925-8574
EI 1872-6992
J9 ECOL ENG
JI Ecol. Eng.
PD NOV
PY 2015
VL 84
BP 194
EP 201
DI 10.1016/j.ecoleng.2015.09.010
PG 8
WC Ecology; Engineering, Environmental; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Engineering
GA CV0NR
UT WOS:000363948000025
OA Green Accepted, Green Submitted
DA 2025-01-10
ER

PT J
AU Johansson, KE
   Axelsson, R
   Kimanzu, N
   Sassi, SO
   Bwana, E
   Otsyina, R
AF Johansson, Karl-Erik
   Axelsson, Robert
   Kimanzu, Ngolia
   Sassi, Samuel O.
   Bwana, Eliza
   Otsyina, Robert
TI The Pattern and Process of Adoption and Scaling up: Variation in Project
   Outcome Reveals the Importance of Multilevel Collaboration in
   Agroforestry Development
SO SUSTAINABILITY
LA English
DT Article
DE dissemination of agroforestry; adaptation; technology adoption; poverty
   alleviation; collaboration; social learning; sustainable development;
   farming system; participant observation
ID SOCIOECONOMIC RESEARCH; LAKE VICTORIA; LESSONS; AFRICA; CARBON; POLICY;
   MITIGATION; TROPICS; REGION
AB Agroforestry is considered a subsistence system that balances the urgent need for food and income of small scale farmers with restoration and conservation of ecosystem services, and climate change adaptation and mitigation. The Vi Agroforestry Program aims to implement agroforestry as a means to alleviate poverty and increase resilience among the poorest smallholders. After seven years, the Vi Agroforestry Project in the Mara Region of Tanzania had an inter-village variation in the proportion of households with tangible surviving agroforestry trees ranging from 10%-90%. Using a multiple methods approach, this variation was analysed in relation to changes and differences among administrative districts and project zones regarding perceived barriers to agroforestry adoption, project interventions, governance and the chronology of the process. In districts and zones where collaboration among the project staff, government counterparts and other stakeholders had been established at multiple levels, more agroforestry trees survived and a larger proportion of households practiced agroforestry. The established collaboration made it possible to discover and consider opportunities and barriers to agroforestry development such as diverse stakeholder interests and perceptions. As a result, potential conflicts could be avoided and socially robust solutions developed, adapted and integrated into the local subsistence systems.
C1 [Johansson, Karl-Erik; Axelsson, Robert] Swedish Univ Agr Sci, Fac Forest Sci, Sch Forest Management, SE-73921 Skinnskatteberg, Sweden.
   [Kimanzu, Ngolia] Social Capital Innovat Int, SE-10110 Stockholm, Sweden.
   [Sassi, Samuel O.] Reg Commissioner Off, Mara 31000, Tanzania.
   [Bwana, Eliza] Local Govt Author, Prime Ministers Off, Mtwara 63000, Tanzania.
   [Otsyina, Robert] Dev Associates Ltd, Dar Es Salaam 11000, Tanzania.
C3 Swedish University of Agricultural Sciences
RP Johansson, KE (corresponding author), Swedish Univ Agr Sci, Fac Forest Sci, Sch Forest Management, SE-73921 Skinnskatteberg, Sweden.
EM kalle.johansson@slu.se; robert.axelsson@slu.se;
   ngolia.kimanzu@outlook.com; rasmarakilimo@yahoo.com;
   elizabwana@yahoo.com; rotsyina@gmail.com
OI Johansson, Karl-Erik/0000-0003-0916-6827
FU FORMAS
FX The authors would like to extend appreciation and gratitude to all those
   involved in the scaling up process in Mara and all those contributing to
   this study. Special thanks to the former Regional Commissioner of Mara
   Mr Nimrod Lugoe and the project staff of Vi AFP, Mara; Mrs Rose-Mary
   Mwlinga, Mr Damian Silas, Mr Celestine Mafuru, Mrs Phillipina Shayo, Mrs
   Neema Kitila, Mrs Maisha Mwaisengela and Mr Xhanfon Bitala. We also
   thank Vi Skogen and Tor Nyberg for the access to data from the Vi
   Agroforestry Project in Mara and FORMAS for part of the funding.
CR Ajayi OC, 2007, NAT RESOUR FORUM, V31, P306, DOI 10.1111/j.1477-8947.2007.00163.x
   Akinnifesi F. K., 2008, Agricultural Journal, V3, P76
   Akinnifesi F. K., 2008, Agricultural Journal, V3, P58
   [Anonymous], 2001, DEV SOCIOLOGY
   [Anonymous], 1992, BATTLEFIELDS KNOWLED
   [Anonymous], 2018, OPEN GLOBAL RIGHTS
   [Anonymous], DISCOVERY GROUNDED T
   Axelsson R, 2013, AMBIO, V42, P241, DOI 10.1007/s13280-012-0378-y
   Baalman P., 2008, SCALING AFOLU MITIGA
   Barklund A., 2004, 6 AGROFORESTRY PROGR
   Bowen D, 2004, SERVICE SYSTEMS AND SERVICE MANAGEMENT - PROCEEDINGS OF ICSSSM '04, VOLS 1 AND 2, P850
   Cooper PJM, 1996, EXP AGR, V32, P235, DOI 10.1017/S0014479700026223
   Daniels StevenE., 2001, Working Through Environmental Conflict: The Collaborative Learning Appoach
   Elbakidze M, 2010, ECOL SOC, V15
   English M, 2011, IMPLEMENT SCI, V6, DOI 10.1186/1748-5908-6-124
   Franzel S, 2004, AGROFOREST SYST, V61-2, P329, DOI 10.1023/B:AGFO.0000029008.71743.2d
   Franzel S., 2002, TREES FARM ASSESSING, P197
   International Institute of Rural Reconstruction, 2000, GOING SCAL CAN WE BR, P114
   Ivarsson CT, 2012, LANDSCAPE RES, V37, P519, DOI 10.1080/01426397.2011.641948
   Johansson K.-E. V., 2008, 8 SWED U AGR SCI DEP
   Johansson KE, 2013, SUSTAINABILITY-BASEL, V5, P5171, DOI 10.3390/su5125171
   Johansson KEV, 2010, VOLUNTAS, V21, P371, DOI 10.1007/s11266-010-9131-y
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Kalaba KF, 2010, ENVIRON SCI ENG, P461, DOI 10.1007/978-3-642-00493-3_22
   KIDD AD, 1993, LAND USE POLICY, V10, P16, DOI 10.1016/0264-8377(93)90027-8
   Kiptot E, 2007, AGR SYST, V94, P509, DOI 10.1016/j.agsy.2007.01.002
   Kopper B., 2000, SUPPORT 6 AGROFOREST
   Lobo C., 1997, ODI NAT RESOUR PERSP, V17, P1
   Mercer DE, 1997, AGROFOREST SYST, V38, P177, DOI 10.1023/A:1005964830133
   Mercer DE, 2004, AGROFOREST SYST, V61-2, P311, DOI 10.1023/B:AGFO.0000029007.85754.70
   Montambault JR, 2005, AGROFOREST SYST, V65, P151, DOI 10.1007/s10457-005-0124-6
   Nair PKR, 2010, ADV AGRON, V108, P237, DOI 10.1016/S0065-2113(10)08005-3
   Nair PKR, 2009, J PLANT NUTR SOIL SC, V172, P10, DOI 10.1002/jpln.200800030
   O'Cathain A, 2010, BMJ-BRIT MED J, V341, DOI 10.1136/bmj.c4587
   Odada EO, 2004, AMBIO, V33, P13, DOI 10.1639/0044-7447(2004)033[0013:MOEPIL]2.0.CO;2
   Oyebade B. A., 2010, Advances in Environmental Biology, V4, P58
   Pattanayak Subhrendu K., 2003, Agroforestry Systems, V57, P173, DOI 10.1023/A:1024809108210
   Place F, 2002, NATURAL RESOURCES MANAGEMENT IN AFRICAN AGRICULTURE: UNDERSTANDING AND IMPROVING CURRENT PRACTICES, P155, DOI 10.1079/9780851995847.0155
   Pollini J, 2009, AGR ECOSYST ENVIRON, V133, P48, DOI 10.1016/j.agee.2009.05.002
   Sanchez P.A., 1995, Agrofor. Syst, V9, P259
   Sandru R., 2012, THESIS UPPSALA U UPP
   Sanginga PC, 2007, NAT RESOUR FORUM, V31, P273, DOI 10.1111/j.1477-8947.2007.00166.x
   Schoeneberger MM, 2009, AGROFOREST SYST, V75, P27, DOI 10.1007/s10457-008-9123-8
   Sood KK, 2009, AGROFOREST SYST, V75, P175, DOI 10.1007/s10457-008-9180-z
   Swallow BM, 2009, ENVIRON SCI POLICY, V12, P504, DOI 10.1016/j.envsci.2008.11.003
   The Planning Commission & Regional Commissioner`s Office, 1998, MAR REGO SOC PROF
   Tornqvist A., 2012, GEOGRAFISKA NOTISER, V70, P6
   Vi Agroforestry, 2012, ANN REPORT
   Vi Agroforestry Project Mara Region Tanzania, 2001, ANN PROJ REP FISC YE
   Viklund K., 1992, EXAMENSARBETE VID JO
NR 50
TC 15
Z9 16
U1 2
U2 53
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD DEC
PY 2013
VL 5
IS 12
BP 5195
EP 5224
DI 10.3390/su5125195
PG 30
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 278MX
UT WOS:000328895500013
OA Green Accepted, gold
DA 2025-01-10
ER

PT J
AU Olofsson, E
   Jakobsson, R
AF Olofsson, Erika
   Jakobsson, Rikard
TI Private forest owners' climate adaptation measures and the motivations
   behind them in a south Swedish county
SO SCANDINAVIAN JOURNAL OF FOREST RESEARCH
LA English
DT Article
DE Climate adaptation; forest owners; forest management; motives; tree
   species; forest damage; policy goals
ID QUALITATIVE CONTENT-ANALYSIS; PINE PINUS-SYLVESTRIS; SCOTS PINE;
   ADAPTIVE CAPACITY; NORWAY SPRUCE; INDIVIDUAL ADAPTATION; SOCIAL
   NETWORKS; MANAGEMENT; PERCEPTIONS; EUROPE
AB This study was conducted to explore measures taken by private forest owners in a region of southern Sweden to adapt forestry to climate change and the motivations behind these measures. Additionally, measures undertaken were compared with policy goals of the Swedish Forest Agency. Data were gathered through a questionnaire and interviews. The most common measure, mentioned by 72% (64) of respondents, is the choice of tree species, usually involving the replacement of Norway spruce (Picea abies (L.) H. Karst) with Scots pine (Pinus sylvestris L.) or deciduous tree species. Other significant measures are creating mixed forests and shortened rotation periods for Norway spruce. While forest owners have adopted several policy-aligned measures, they have not yet prioritized measures pertaining to forest roads, or specific social and environmental concerns such as avoiding clear-cutting in erosion-prone areas or creating dying trees. The most common motive for adapting forestry is to reduce the risk of damage. Communication activities of authorities and forestry advisors that start from forest owners' multifunctional views and multiple motives for taking action could promote the development of climate-adapted forests. Highlighting the additional environmental and social values that are served by climate adaptation measures may further motivate forest owners.
C1 [Olofsson, Erika; Jakobsson, Rikard] Linnaeus Univ, Dept Forestry & Wood Technol, S-35195 Vaxjo, Sweden.
C3 Linnaeus University
RP Olofsson, E (corresponding author), Linnaeus Univ, Dept Forestry & Wood Technol, S-35195 Vaxjo, Sweden.
EM erika.olofsson@lnu.se
FX Our gratitude to Karolina Forsen, who conducted the interviews.
CR Alok S, 2014, IUP J Soft Skills, V8, P47
   Anderegg WRL, 2022, SCIENCE, V377, P1099, DOI 10.1126/science.abp9723
   Andersson E, 2018, GLOBAL ENVIRON CHANG, V48, P76, DOI 10.1016/j.gloenvcha.2017.11.004
   André K, 2017, ENVIRON MANAGE, V59, P885, DOI 10.1007/s00267-017-0844-1
   Ara M, 2022, SCAND J FOREST RES, V37, P14, DOI 10.1080/02827581.2021.2005133
   Bärring L, 2017, INT J CLIMATOL, V37, P123, DOI 10.1002/joc.4691
   Belbo H., 2022, SKOGLIG ANPASSNING F
   Bergh J., 2010, Ecol. Bull., P185
   Bjärstig T, 2018, SMALL-SCALE FOR, V17, P125, DOI 10.1007/s11842-017-9379-9
   BLACKBURN P, 1988, FORESTRY, V61, P235, DOI 10.1093/forestry/61.3.235
   Blennow K, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0050182
   Blennow K, 2012, FOREST POLICY ECON, V24, P41, DOI 10.1016/j.forpol.2011.04.005
   Blennow K, 2009, GLOBAL ENVIRON CHANG, V19, P100, DOI 10.1016/j.gloenvcha.2008.10.003
   Boag AE, 2018, ECOL SOC, V23, DOI 10.5751/ES-10355-230401
   Bolte A, 2009, SCAND J FOREST RES, V24, P473, DOI 10.1080/02827580903418224
   Boon TE, 2004, SCAND J FOREST RES, V19, P45, DOI 10.1080/14004080410034056
   Brockerhoff EG, 2017, BIODIVERS CONSERV, V26, P3005, DOI 10.1007/s10531-017-1453-2
   Buijs A, 2013, FOREST POLICY ECON, V33, P104, DOI 10.1016/j.forpol.2012.09.002
   Buras A, 2020, BIOGEOSCIENCES, V17, P1655, DOI [10.5194/bg-17-1655-2020, 10.5194/bg-17-1655-2020,2020]
   Christiansen L., 2018, 201812 SWED FOR AG
   Dandy N., 2012, UNDERSTANDING PRIVAT
   Deuffic P, 2018, LAND USE POLICY, V79, P1024, DOI 10.1016/j.landusepol.2016.09.021
   Doscher R., 2019, SMHI, DOI [10.17200/ClimateExtremesSweden, DOI 10.17200/CLIMATEEXTREMESSWEDEN]
   Dyderski MK, 2018, GLOBAL CHANGE BIOL, V24, P1150, DOI 10.1111/gcb.13925
   Eggers J, 2014, FORESTS, V5, P1695, DOI 10.3390/f5071695
   Ekö PM, 2008, SCAND J FOREST RES, V23, P307, DOI 10.1080/02827580802249126
   Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x
   Eriksson H., 2016, EFFEKTER KLIMATFRNDR
   Eriksson L, 2022, FOREST POLICY ECON, V140, DOI 10.1016/j.forpol.2022.102751
   Eriksson L, 2021, EUR J FOREST RES, V140, P51, DOI 10.1007/s10342-020-01314-3
   Eriksson L, 2014, SMALL-SCALE FOR, V13, P483, DOI 10.1007/s11842-014-9266-6
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Felton A, 2020, AMBIO, V49, P1035, DOI 10.1007/s13280-019-01259-x
   Girdziusas S, 2021, SCAND J FOREST RES, DOI 10.1080/02827581.2021.1992003
   Graneheim UH, 2004, NURS EDUC TODAY, V24, P105, DOI 10.1016/j.nedt.2003.10.001
   Grelle A, 2023, AGR FOREST METEOROL, V330, DOI 10.1016/j.agrformet.2022.109290
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903
   Häggqvist P, 2014, SCAND J FOREST RES, V29, P697, DOI 10.1080/02827581.2014.960894
   Häyrinen L, 2017, SCAND J FOREST RES, V32, P327, DOI 10.1080/02827581.2016.1227472
   Heltorp KMA, 2018, SCAND J FOREST RES, V33, P278, DOI 10.1080/02827581.2017.1362463
   Hengst-Ehrhart Y, 2019, ANN FOREST SCI, V76, DOI 10.1007/s13595-019-0878-z
   Holmström E, 2018, FOREST ECOL MANAG, V429, P287, DOI 10.1016/j.foreco.2018.07.008
   Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687
   Huuskonen S, 2006, SILVA FENN, V40, P645, DOI 10.14214/sf.320
   Ingemarson F, 2006, SCAND J FOREST RES, V21, P249, DOI 10.1080/02827580600662256
   Jakobsson R, 2021, SCAND J FOREST RES, V36, P68, DOI 10.1080/02827581.2020.1854341
   Jonsell M., 2023, LANGSIKTIG OVERVAKNI
   Kantartzis A., 2021, IOP C SERIES EARTH E, V899, p012052., DOI [10.1088/1755-1315/899/1/012052, DOI 10.1088/1755-1315/899/1/012052]
   Karlsson Anders, 1998, Silva Fennica, V32, P229
   Karppinen Heimo, 1998, Silva Fennica, V32, P43
   Keeling RF., 2009, TRENDS COMPENDIUM DA, P16
   Keskitalo ECH, 2008, CLIMATIC CHANGE, V87, P219, DOI 10.1007/s10584-007-9337-1
   Keskitalo ECH, 2016, FORESTS, V7, DOI 10.3390/f7020028
   Keskitalo ECH, 2011, FORESTS, V2, P415, DOI 10.3390/f2010415
   Klein RJT, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P899
   Korhonen K, 2012, SCAND J FOREST RES, V27, P88, DOI 10.1080/02827581.2011.631935
   Koskela T, 2021, SMALL-SCALE FOR, V20, P11, DOI 10.1007/s11842-020-09454-5
   Kreibich H, 2011, REG ENVIRON CHANGE, V11, P59, DOI 10.1007/s10113-010-0119-3
   Laakkonen A, 2018, FOREST POLICY ECON, V87, P1, DOI 10.1016/j.forpol.2017.11.001
   Lantmateriet, 2022, REAL PROPERTY
   Larsson-Stern M., 2005, STRATIGRAPHY PREBASA, VResultat, P1
   Lawrence A, 2020, LAND USE POLICY, V94, DOI 10.1016/j.landusepol.2020.104522
   Lawrence A, 2014, ANN FOREST SCI, V71, P291, DOI 10.1007/s13595-013-0326-4
   Lidestav G, 2000, SCAND J FOREST RES, V15, P378, DOI 10.1080/028275800448011
   Lidestav G, 2013, SCAND J FOREST RES, V28, P136, DOI 10.1080/02827581.2012.701324
   Lind-Riehl J, 2015, LAND USE POLICY, V45, P95, DOI 10.1016/j.landusepol.2015.01.005
   Masson-Delmotte V, 2021, CLIMATE CHANGE 2021, DOI DOI 10.1017/9781009157896
   McGann TC, 2023, J FOREST, V121, P182, DOI 10.1093/jofore/fvac039
   Milad M, 2013, BIODIVERS CONSERV, V22, P1181, DOI 10.1007/s10531-012-0337-8
   Moen A., 1998, Nasjonalatlas for Norge: vegetasjon
   Nilsson U, 2002, FOREST ECOL MANAG, V161, P133, DOI 10.1016/S0378-1127(01)00497-2
   Nilsson U, 2016, SCAND J FOREST RES, V31, P279, DOI 10.1080/02827581.2015.1099728
   Nordlund A, 2011, FORESTS, V2, P30, DOI 10.3390/f2010030
   Olofsson E, 2023, SCAND J FOREST RES, V38, P300, DOI 10.1080/02827581.2023.2225871
   Ruseva TB, 2014, SMALL-SCALE FOR, V13, P377, DOI 10.1007/s11842-014-9260-z
   Seidl R, 2017, NAT CLIM CHANGE, V7, P395, DOI [10.1038/NCLIMATE3303, 10.1038/nclimate3303]
   SFS, 2018, SVENSK FORFATTNINGSS
   Sjokvist E., 2015, SMHI KLIMATOLOGI
   Skarin J., 2016, PRIVATE FOREST OWNER
   SLU, 2021, FOREST STAT 2021 OFF
   SLU, 2023, FOREST STAT 2023 OFF
   SMHI, 2023, MANADSARSTIDSOCH ARS
   Solomon D, 2007, CLIMATE CHANGE 2007, P1009
   SOU, 2007, 200760 SOU
   Sousa-Silva R, 2018, FOREST POLICY ECON, V90, P22, DOI 10.1016/j.forpol.2018.01.004
   Sousa-Silva R, 2016, FOR ECOSYST, V3, DOI 10.1186/s40663-016-0082-7
   Spies TA, 2010, LANDSCAPE ECOL, V25, P1185, DOI 10.1007/s10980-010-9483-0
   Swedish Forest Agency, 2023, KLIMATANPASSAT SKOGS
   Swedish Forest Agency, 2024, STAT DAT
   Swedish Forest Agency, 2023, MERA TALL
   Swedish Forest Agency, 2022, Forestry legislation, Rules in force 1 April 2022
   Swedish Forest Agency, 2023, STUDIER GRANBARKBORR
   Swedish Forest Agency, 2019, 201923 SWED FOR AG
   Thom D, 2016, BIOL REV, V91, P760, DOI 10.1111/brv.12193
   Thomas J, 2022, FOREST POLICY ECON, V135, DOI 10.1016/j.forpol.2021.102662
   Tiebel M, 2022, AMBIO, V51, P836, DOI 10.1007/s13280-021-01615-w
   Uliczka H, 2004, SCAND J FOREST RES, V19, P274, DOI 10.1080/02827580410029318
   UN, 2022, United Nations climate change
   Valinger E, 2011, FOREST ECOL MANAG, V262, P398, DOI 10.1016/j.foreco.2011.04.004
   van der Linden S, 2015, J ENVIRON PSYCHOL, V41, P112, DOI 10.1016/j.jenvp.2014.11.012
   van Gameren V, 2015, ENVIRON SCI POLICY, V52, P51, DOI 10.1016/j.envsci.2015.05.004
   Venäläinen A, 2020, GLOBAL CHANGE BIOL, V26, P4178, DOI 10.1111/gcb.15183
   vonHedemann N, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.674718
   Vulturius G, 2020, J ENVIRON PLANN MAN, V63, P1177, DOI 10.1080/09640568.2019.1646228
   Vulturius G, 2018, REG ENVIRON CHANGE, V18, P511, DOI 10.1007/s10113-017-1218-1
   Wiersum K F., 2005, Small-Scale Forestry, V4, P1, DOI [10.1007/s11842-005-0001-1, DOI 10.1007/S11842-005-0001-1]
   Winkel G, 2022, FOREST POLICY ECON, V145, DOI 10.1016/j.forpol.2022.102849
NR 108
TC 0
Z9 0
U1 3
U2 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0282-7581
EI 1651-1891
J9 SCAND J FOREST RES
JI Scand. J. Forest Res.
PD JUL 3
PY 2024
VL 39
IS 5
BP 263
EP 276
DI 10.1080/02827581.2024.2380685
EA JUL 2024
PG 14
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA F4B1Y
UT WOS:001273054400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Richardson, BJ
   Brugler, S
   Fitzsimons, JA
   McCormack, PC
   Akhtar-Khavari, A
AF Richardson, Benjamin J.
   Brugler, Sarah
   Fitzsimons, James A.
   McCormack, Phillipa C.
   Akhtar-Khavari, Afshin
TI Conservation covenants for ecosystem restoration: adapting an old
   instrument to a new global conservation challenge?
SO FRONTIERS IN CONSERVATION SCIENCE
LA English
DT Article
DE climate change; conservation covenants; restoration/rehabilitation;
   private land conservation; protected areas; privately protected areas;
   climate adaptation and mitigation
ID ECOLOGICAL RESTORATION; BIODIVERSITY CONSERVATION; PROTECTED AREAS;
   PRIVATE; MANAGEMENT
AB Conservation covenants are an important legal tool for enabling private land conservation, whose significance to policymakers has recently grown in light of new global commitments to expand areas of land and water protected and restored. Covenants' traditional focus on conservation of existing natural values rather than restoration of degraded land or active management of environments impacted by climate change pose significant challenges to the flexibility and efficacy of this legal instrument. In Australia, recent national legal reforms to incentivise private land conservation, notably the new Nature Repair Act 2023, will need to consider how it can align with conservation covenanted lands that are regulated by different laws with different criteria and goals. Here we identify some pathways for enabling conservation covenants to play an expanded role in the context of ecosystem restoration and climate adaptation.
C1 [Richardson, Benjamin J.; Brugler, Sarah; Fitzsimons, James A.] Univ Tasmania, Sch Law, Hobart, Tas, Australia.
   [Fitzsimons, James A.] Nature Conservancy, Carlton, Vic, Australia.
   [Fitzsimons, James A.] Deakin Univ, Sch Life & Environm Sci, Burwood, Vic, Australia.
   [McCormack, Phillipa C.] Univ Adelaide, Environm Inst, Adelaide, SA, Australia.
   [McCormack, Phillipa C.] Univ Adelaide, Adelaide Law Sch, Adelaide, SA, Australia.
   [Akhtar-Khavari, Afshin] Queensland Univ Technol, Sch Law, Brisbane, Qld, Australia.
C3 University of Tasmania; Nature Conservancy; Deakin University;
   University of Adelaide; University of Adelaide; Queensland University of
   Technology (QUT)
RP Richardson, BJ (corresponding author), Univ Tasmania, Sch Law, Hobart, Tas, Australia.
EM B.J.Richardson@utas.edu.au
RI Fitzsimons, James/W-2497-2019; Richardson, Benjamin/J-7340-2014
OI Akhtar-Khavari, Afshin/0000-0002-3045-4148; Brugler,
   Sarah/0000-0003-4686-8924; Fitzsimons, James/0000-0003-4277-8040
CR Akhtar-Khavari A, 2019, LAW JUST ECOL, P1
   Akhtar-Khavari Afshin., 2020, Australian Environment Review, V35, P129
   [Anonymous], 1998, Smart Regulation, Designing Environmental Policy
   Archibald CL, 2021, ENVIRON SCI POLICY, V115, P99, DOI 10.1016/j.envsci.2020.08.016
   Australian Government, 2022, Collaborative Australian Protected Areas Database (CAPAD)
   Australian Government, 2022, Nature Positive Plan: better for the environment
   Australian Government, 2022, Threatened Species Strategy Action Plan 2022-2032
   Australian Government, 2022, Ownership and governance of protected areas
   Australian Panel of Experts on Environmental Law (APEEL), 2017, Blueprint for Next Generation of Australian Environmental Law
   Australian Parliament, 2023, Nature Repair Act
   Bingham HC, 2021, FRONT CONSERV SCI, V2, DOI 10.3389/fcosc.2021.748127
   Bradby K, 2013, LINKING AUSTRALIA'S LANDSCAPES: LESSONS AND OPPORTUNITIES FROM LARGE-SCALE CONSERVATION NETWORKS, P25
   Brugler S., 2023, Environ. Plann. Law J, V39, P435
   Brugler S, 2023, FRONT CONSERV SCI, V4, DOI 10.3389/fcosc.2023.1291745
   Chaffin BC, 2014, ECOL SOC, V19, DOI 10.5751/ES-06824-190356
   Convention on Biological Diversity, 2022, KUNM MONTR GLOB BIOD
   Council of the European Union, 2023, Nature Restoration: Council and Parliament reach agreement on new rules to restore and preserve degraded habitats in the EU
   Cowell S, 2013, LINKING AUSTRALIA'S LANDSCAPES: LESSONS AND OPPORTUNITIES FROM LARGE-SCALE CONSERVATION NETWORKS, P85
   Cresswell ID., 2021, AUSTR STATE ENV 2021, DOI 10.26194/f1rh-7r05
   Davies Margaret., 2021, Journal of Law, Property and Society, V6, P1
   Elton P, 2023, FRONT CONSERV SCI, V4, DOI 10.3389/fcosc.2023.1277254
   England P., 2015, Univ. Tasmania Law Rev, V34, P72
   Fischer J, 2021, TRENDS ECOL EVOL, V36, P20, DOI 10.1016/j.tree.2020.08.018
   Fitzsimons J., 2001, Australian Journal of Environmental Management, V8, P142
   Fitzsimons J., 2023, PROTECTING AUSTR NAT
   Fitzsimons J, 2021, ECOL MANAG RESTOR, V22, P115, DOI 10.1111/emr.12489
   Fitzsimons J, 2021, ECOL MANAG RESTOR, V22, P110, DOI 10.1111/emr.12484
   Fitzsimons JA, 2015, NAT CONSERV-BULGARIA, P1, DOI 10.3897/natureconservation.10.8739
   Fitzsimons JA, 2014, ENVIRON MANAGE, V54, P606, DOI 10.1007/s00267-014-0329-4
   Gibson-Roy P, 2022, ECOL MANAG RESTOR, V23, P10, DOI 10.1111/emr.12546
   Gilfedder L, 2021, ECOL MANAG RESTOR, V22, P11, DOI 10.1111/emr.12470
   Gooden J, 2020, AMBIO, V49, P1019, DOI 10.1007/s13280-019-01258-y
   Greber J., 2023, Aust. Financial Rev
   Groce JE, 2022, J ENVIRON MANAGE, V305, DOI 10.1016/j.jenvman.2021.114355
   Halliday LG, 2012, INT J WILDLAND FIRE, V21, P197, DOI 10.1071/WF10148
   Hardy MJ, 2018, FRONT ECOL ENVIRON, V16, P336, DOI 10.1002/fee.1821
   Hardy MJ, 2017, CONSERV LETT, V10, P221, DOI 10.1111/conl.12243
   Heagney EC, 2021, LAND USE POLICY, V102, DOI 10.1016/j.landusepol.2020.105243
   Henry K., 2023, Final report: Independent review of the Biodiversity Conservation Act 2016
   Hiscutt L., 2022, Question without notice, Legislative Council of Tasmania, 7 November
   International Land Conservation Network, 2024, Empowering a global community in land conservation
   Kusmanoff AM, 2016, ENVIRON SCI POLICY, V61, P124, DOI 10.1016/j.envsci.2016.03.016
   Land Trust Alliance, 2024, Gaining ground
   Law Commission, 2014, Conservation Covenants, LAW Com No 329
   Lubell M, 2021, NAT SUSTAIN, V4, P664, DOI 10.1038/s41893-021-00707-5
   Matzek V, 2019, ECOSYST SERV, V35, P79, DOI 10.1016/j.ecoser.2018.11.005
   McCormack PC, 2019, LAW JUST ECOL, P265
   McCormack PC, 2018, AUST LAW J, V92, P839
   McCormack PC, 2018, AUST LAW J, V92, P546
   McDonald J, 2014, J ENVIRON LAW, V26, P25, DOI 10.1093/jel/equ003
   McLaughlin N A., 2013, Utah Law Review, V3, P687
   Mitchell B., 2018, Guidelines for privately protected areas. Best Practice Protected Area
   National Environmental Law Association, 2023, Submission on the Nature Repair Market Bill
   Productivity Commission, 2001, Harnessing private sector conservation of biodiversity
   Richardson B. J., 2023, Before Environmental Law: A History of a Vanishing Continent
   Richardson Benjamin., 2017, Time and Environmental Law: Telling Nature's Time
   Richardson BJ, 2021, ECOL MANAG RESTOR, V22, P36, DOI 10.1111/emr.12455
   Richardson BJ, 2016, REV EUR COMP INT ENV, V25, P277, DOI 10.1111/reel.12165
   Rodgers C, 2020, MOD LAW REV, V83, P373, DOI 10.1111/1468-2230.12504
   Ronish Y., 2022, Environ. Law Rev, V24, P3, DOI [10.1177/146145292210859, DOI 10.1177/146145292210859]
   Samuel G., 2020, Independent Review of the EPBC Act - Final Report
   Schlagloth R., 2018, ANIMAL STUDIES J, V7, P127
   Selinske MJ, 2019, BIOL CONSERV, V229, P170, DOI 10.1016/j.biocon.2018.11.026
   Smith F, 2016, ENVIRON PLAN LAW J, V33, P443
   South Australia Native Vegetation Council, 2023, Heritage agreement policy
   Stobo-Wilson AM, 2020, WILDLIFE RES, V47, P720, DOI 10.1071/WR19237
   Taylor M., 2020, Building nature's safety net 2020: The promise of 2030
   Telesetsky A, 2017, ROUT RES INT ENV LAW, P1
   The Nature Conservancy Australia, 2023, The Nature Conservancy welcomes progress on establishing a national biodiversity market
   United Nations, 2021, Race to Resilience
   United Nations Decade on Ecosystem Restoration, 2021, Strategy
   United Nations Environment Programme, 2022, Australia: after the bushfires came the floods
   Victorian Department of Energy Environment and Climate Action, 2023, BushBank program
   WetlandCare Australia, 2023, About us
   Young Oran., 2012, E-International Relations
NR 75
TC 1
Z9 1
U1 1
U2 3
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2673-611X
J9 FRONT CONSERV SCI
JI Front. Conserv. Sci.
PD JAN 31
PY 2024
VL 5
AR 1335988
DI 10.3389/fcosc.2024.1335988
PG 10
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Emerging Sources Citation Index (ESCI)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA HR1P7
UT WOS:001161145100001
OA Green Published, gold
DA 2025-01-10
ER

PT C
AU Larasati, D
AF Larasati, Dwinita
BE Utama, NA
   McLellan, BC
   Tarno, H
   Hamzah, S
   Bramantoro, A
   Apip
   Trihartono, A
   Suryatmojo, H
   Widodo, S
   Himmi, SK
TI Preparing Future Designers for Climate Adaptation
SO 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE FUTURE FOR HUMAN SECURITY,
   SUSTAIN 2012
SE Procedia Environmental Sciences
LA English
DT Proceedings Paper
CT 3rd International Conference on Sustainable Future for Human Security
   (SUSTAIN)
CY NOV 03-05, 2012
CL Kyoto Univ, Kyoto, JAPAN
SP Indonesian Students Assoc Kyoto, Indonesian Students Assoc Kansai
HO Kyoto Univ
DE Education; Design; Indonesia
AB Industrial designers in Indonesia should develop new viewpoints concerning industrial products, lifestyles and consumption habits, resources and creativity in view of climate adaptation. In the field of industrial design in Indonesia, sustainability issues started to attract attention in the early 1990s, but were brought up formally only in mid-2000, as part of the curriculum in higher education at the Faculty of Arts and Design, Institute of Technology Bandung (ITB). Given the fact that the ongoing curriculum at ITB still applies concepts of the conventional industrial era, this paper aims to conduct a general analysis of a course to prepare future designers for the current issues in the subject of sustainability, emphasizing the attempts to apply the principles of sustainability within the context of Indonesia, a developing, tropical country that is vulnerable to climate change. In this article, a SWOT analysis is laid out to evaluate the delivery of the subject and the organization of the curriculum. As a closing remark, it is suggested that an effective delivery of the subject should include exercises in real, local cases. (C) 2013 The Authors. Published by Elsevier B.V.
C1 Inst Technol Bandung, Bandung 40132, Indonesia.
C3 Institute Technology of Bandung
RP Larasati, D (corresponding author), Inst Technol Bandung, Jl Ganesha 10, Bandung 40132, Indonesia.
EM titalarasati@gmail.com
CR Budgett-Meakin Catherine, 1992, MAKE FUTURE WORK APP
   Larasati Dwirnta, 2009, SIMON SAYS DESIGN SU
   Papanek V., 1972, DESIGN REAL WORLD MA
   Papanek Victor, 1995, GREEN IMPERATIVE ECO
   Tischner Ursula, 2006, SUSTAINABLE DESIGN E
NR 5
TC 0
Z9 0
U1 0
U2 1
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1878-0296
J9 PROCEDIA ENVIRON SCI
PY 2013
VL 17
BP 462
EP 468
DI 10.1016/j.proenv.2013.02.060
PG 7
WC Environmental Sciences
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Environmental Sciences & Ecology
GA BD4GN
UT WOS:000360700100056
OA gold
DA 2025-01-10
ER

PT J
AU Takao, Y
AF Takao, Yasuo
TI Making Climate Change Policy Work at the Local Level: Capacity-Building
   for Decentralized Policy Making in Japan
SO PACIFIC AFFAIRS
LA English
DT Article
DE Japan; local government; climate change; decentralization; local
   capacity building
ID FEDERALISM; POLITICS
AB This study will examine the state of local capacity building for local climate adaptation in Japan. Climate mitigation needs to be led by both global strategies and national mandates in an integrated way, but climate change impacts are manifested locally and adaptive capacity is determined by local conditions. The article first lays out the basic components of local capacity for decentralized policy making and assesses the current local capacity in view of Japan's climate policy. The bulk of data employed in the study is derived from existing up-to-date government databases. It found that only the largest municipalities as well as prefectures have governing capacities to develop a comprehensive approach to climate adaptation, while medium-sized municipalities have a potential to take a participatory approach to climate policy. It argues that some pioneering localities realize their potentials to take initiatives under political leadership but most localities act in a piecemeal fashion according to clear national-level guidance on climate change.
C1 Curtin Univ, Dept Social Sci, Bentley, WA, Australia.
C3 Curtin University
RP Takao, Y (corresponding author), Curtin Univ, Dept Social Sci, Bentley, WA, Australia.
EM y.takao@curtin.edu.au
RI Takao, Yasuo/O-3831-2016
OI Takao, Yasuo/0000-0002-8425-8476
CR Almond Gabriel A., 1963, CIVIC CULT
   Andersson K, 2007, COMP POLIT STUD, V40, P1085, DOI 10.1177/0010414006288977
   [Anonymous], 1992, AG 21
   [Anonymous], 2010, COMMUNICATION
   [Anonymous], 2011, COMMUNICATION
   [Anonymous], 2010, COMMUNICATION
   [Anonymous], 2010, COMMUNICATION
   [Anonymous], 1996, SANKEI SHINBUN  0108
   [Anonymous], 2010, COMMUNICATION
   [Anonymous], 2010, COMMUNICATION
   Asian Development Bank, 2005, CAP BUILD SUPP DEC I
   Bulkeley Harriet, 2008, 122 TYND CTR CLIM CH
   Crook R., 1998, Democracy and Decentralization in South Asia and West Africa
   Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015
   Dyer Hugh, 1994, PARADIGMS, V8, P58
   Environmental Agency, 1995, ROK 21 SAK GAID
   Fiszbein A, 1997, WORLD DEV, V25, P1029, DOI 10.1016/S0305-750X(97)00020-X
   Fredriksson PG, 2002, J URBAN ECON, V51, P101, DOI 10.1006/juec.2001.2239
   GREEN L, 2005, WHY SHOULD MY LOCAL
   Hasegawa, 2003, KOICHI KANKYO UNDO T
   Hasegawa, 2005, RITSUMEIKAN SANGYOSH, V41, P49
   Helland E, 2003, J ENVIRON ECON MANAG, V46, P403, DOI 10.1016/S0095-0696(03)00033-0
   Hideyuki Takahashi, 2000, KIKAN GYOSEI KANRI K, V89, P20
   Holgate C, 2007, LOCAL ENVIRON, V12, P471, DOI 10.1080/13549830701656994
   Hooghe L, 2003, AM POLIT SCI REV, V97, P233
   International Council for Local Environmental Initiatives, 1993, LOC AG 21 IN INCLEI, V21
   Japan Cabinet Office, 2003, SOSH KYAP
   Japan Cabinet Office, 2005, COMM REG SOC CAP
   Japan Cabinet Office, CHIK OND TAIS NI KAN
   Japan Center for Climate Change Actions, CHIIK NO DOK
   Japan ICLEI, 2001, NIH NO JICH NO AJ 21
   Kazumasu Aoki, 2010, TOMIDAI KEIZAI RONSH, V56, P136
   Ken'ichiro Yanagi, 2000, NIRA POLICY RES, V13, P36
   Kenji Kawasaki, 2000, CHIIKI KAIHATSU, V426, P54
   Kenji Kawasaki, 2001, CHIHO ZAIMU, V568, P276
   Kenshi Baba, 2006, Y05025 SOC RES CTR, pii
   Kern Kristine, 2009, OECD C P PAR OECD
   Koji Kanagawa, 2004, TOSHI KENKYU, V4, P43
   Kriesi Hanspeter., 1995, POLITICS SOCIAL PROT, P167
   Kunimitsu Imai, 2010, COMMUNICATION
   Larson AM, 2002, WORLD DEV, V30, P17, DOI 10.1016/S0305-750X(01)00098-5
   Levinson A, 2003, NATL TAX J, V56, P91, DOI 10.17310/ntj.2003.1.06
   List JA, 2000, J REGIONAL SCI, V40, P453, DOI 10.1111/0022-4146.00183
   Litfin KT, 2000, POLICY STUD J, V28, P236, DOI 10.1111/j.1541-0072.2000.tb02026.x
   Makoto Kayashima, 1999, TOKYO NO JICHI, V18, P18
   McKinnon RI, 1997, VA LAW REV, V83, P1573, DOI 10.2307/1073768
   Ministry of Economy Trade and Industry, 2010, EN HAK
   Ministry of Internal Affairs and Communications, LOC PUBL FIN JAP
   Ministry of the Environment, 2003, ROK 21 NO SAK JOK CH
   Ministry of the Environment, 2011, KANK KIH KEIK NI KAK
   Ministry of the Environment, ENV IMP ASS NETW
   Ministry of the Environment, SENR KANK EIK HYOK N
   Ministry of the Environment, 2005, CHIH KOK DANT NO KAN
   Mitsuru Tanaka, 2010, ASESUMENTO GAKKAISHI, V8, P6
   MURAMATSU M, 1975, ASIAN SURV, V15, P799, DOI 10.1525/as.1975.15.9.01p0111b
   Naomi Okamoto, 2011, COMMUNICATION
   National Association of Chairpersons of City Councils, SHICH TESH NI YOR GA
   Nikkei Human Resources, 2006, NIKK NAV
   NTT Data, 2001, DENSH SEIF TO MINSH
   Oates Wallace., 1972, Fiscal Federalism
   Oates WE, 2002, NEW HOR ENV ECO, P1
   Peterson GeorgeE., 1997, Decentralization in Latin America: Learning through Experience
   Putnam R. D., 1993, Making democracy work: Civic traditions in modern Italy
   Putnam Robert D., 1993, MAKING DEMOCRACY WOR
   Rabe BG, 2009, INNOV GOV 21ST CENT, P34
   REED SR, 1981, COMP POLIT, V13, P253, DOI 10.2307/421897
   Reed StevenR., 1986, JAPANESE PREFECTURES
   Rodden J, 2004, COMP POLIT, V36, P481, DOI 10.2307/4150172
   Samuels RichardJ., 1983, POLITICS REGIONAL PO
   Seabright P, 1996, EUR ECON REV, V40, P61, DOI 10.1016/0014-2921(95)00055-0
   Selman P., 2001, Plan Theory Pr, V2, P13, DOI [DOI 10.1080/14649350122850, 10.1080/14649350122850]
   Shapiro P, 1997, NEW HOR ENV ECO, P122
   Shuman Michael., 1994, GLOBAL VILLAGE INT C
   Siebert Horst, 2007, EC ENV, P59, DOI [10.1007/978-3-540-73707-0_5, DOI 10.1007/978-3-540-73707-0_5]
   Sigman H, 2005, J ENVIRON ECON MANAG, V50, P82, DOI 10.1016/j.jeem.2004.10.001
   Steiner Kurt., 1980, POLITICAL OPPOSITION
   Taisuke Miyauchi, 2001, KANKYO SHAKAIGAKU KE, V7, P56
   Takahiro Nakaguchi, 2002, ARCH I JAP SEM AUG
   Takeshi Wada, 2007, SHIMIN CHIIKI GA SUS, P132
   Takeshi Wada, 2002, YUIBUTSURON TO GENDA, V29, P2
   Tarrow SidneyG., 1991, Struggle, Politics, and Reform: collective action, social movements, and cycles of protest, V2nd
   Teruyuki Ono, 2010, GAIKO FORAMU, V260, P42
   TIEBOUT CM, 1956, J POLIT ECON, V64, P416, DOI 10.1086/257839
   Tietenberg Thomas H., 1979, REGIONAL ENV POLICY, P79
   Tokyo Metropolitan Government, 2006, ENV IMP ASS SYST TOK
   Tokyo Metropolitan Government, SUT MIT
   Toshiko Chiba, 2010, COMMUNICATION
   Toshimasa Itakura, 2001, KEIKAKU GYOSEI, V24, P78
   Verba Sidney, 1972, PARTICIPATION AM
   Weber E.P., 1998, Pluralism by the rules: Conflict and cooperation in environmental regulation
   WEINGAST BR, 1995, J LAW ECON ORGAN, V11, P1
   Yasuhira Fujii, 2007, SOKAN SHAKAI KAGAKU, V17, P76
NR 92
TC 9
Z9 10
U1 1
U2 34
PU PACIFIC AFFAIRS UNIV BRITISH COLUMBIA
PI VANCOUVER
PA #376-1855 WEST MALL, VANCOUVER, BC V6T 1Z2, CANADA
SN 0030-851X
EI 1715-3379
J9 PAC AFF
JI Pac. Aff.
PD DEC
PY 2012
VL 85
IS 4
BP 767
EP 788
DI 10.5509/2012854767
PG 22
WC Area Studies
WE Social Science Citation Index (SSCI)
SC Area Studies
GA 046KZ
UT WOS:000311765200004
OA Green Published
DA 2025-01-10
ER

PT J
AU Bassolino, E
AF Bassolino, Eduardo
TI Definition of Urban Built Environment Climate Adaptive Design Actions
   Aided by Environmental Data-Driven Design Processes
SO ATMOSPHERE
LA English
DT Article
DE climate-adaptive design; data exchange; environmental data-driven
   design; ICT; KET's low tech
ID THERMAL COMFORT; INDEX
AB Environmental and technological design for climate adaptation in the urban built environment can no longer be separated from the generation, collection, or use of data (big data). ICT tools (Information and Communication Technologies), for the modelling and simulation of the built urban environment are identified as measuring devices and provide knowledge on the impacts of climate change in design practice based on an environmentally data-driven approach. This study aims to define a framework for the evaluation of environmental health and comfort parameters applicable to simulation tools, with a specific focus on thermal and environmental exchanges between indoor and outdoor spaces, to define those factors that affect the perception of user's well-being in thermal stress conditions (e.g., heatwaves), both indoor and outdoor. Through the definition of two study cases in the city of Naples, Italy, special attention was paid to investigating the interaction between outdoor and indoor performance when urban temperatures rise. A comparison between a daily survey for occupants and simulations was conducted to confirm the validity of the data obtainable from the perceived thermal sensations. The obtained results show that the designed framework can reliably simulate real outdoor and indoor conditions according to comfort indices such as the predicted mean vote and adaptive comfort model. The methodological framework developed can guarantee the interoperability of data to simulate indoor and outdoor environments responding to real conditions and determine a favourable condition for the development of urban redevelopment interventions through the application of climate adaptive design strategies.
C1 [Bassolino, Eduardo] Univ Naples Federico II, Dipartimento Architettura DiARC, I-80138 Naples, Italy.
C3 University of Naples Federico II
RP Bassolino, E (corresponding author), Univ Naples Federico II, Dipartimento Architettura DiARC, I-80138 Naples, Italy.
EM eduardo.bassolino@unina.it
RI Bassolino, Eduardo/AAI-7080-2021
OI Bassolino, Eduardo/0000-0002-6255-0775
CR [Anonymous], 2020, 55 ANSIASCHRAE
   [Anonymous], 2006, 77302006 UNI EN ISO
   [Anonymous], 1972, URBAN SPACES STRUCTU
   arrayofthings.github, PROJECT ARRAY THINGS
   Bassolino E, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105694
   Bibri SE, 2021, SUSTAIN FUTURES, V3, DOI 10.1016/j.sftr.2021.100047
   Carta M., 2017, AUGMENTED CITY PARAD
   cbe.berkeley, ADAPTIVE COMFORT MOD
   Chatzidimitriou A., 2017, P PLEA 2017 DESIGN T
   Chokhachian A, 2018, J BUILD ENG, V20, P94, DOI 10.1016/j.jobe.2018.07.003
   D'Alfonso A, 2022, Piano nazionale di ripresa e resilienza-Missione 6: Salute
   Data-City of Chicago, US
   Daysim, US
   de Dear RJ, 2002, ENERG BUILDINGS, V34, P549, DOI 10.1016/S0378-7788(02)00005-1
   EnergyPlus, About us
   ENVI-Met, About us
   Ermolli S. Russo, 2020, The Digital Culture of Architecture. Note sul cambiamento cognitivo e tecnico tra continuita e rottura
   Fang ZS, 2017, PROCEDIA ENGINEER, V205, P2457, DOI 10.1016/j.proeng.2017.09.973
   Fanger P. O., 1970, Thermal comfort. Analysis and applications in environmental engineering.
   Giffinger Rudolf, 2015, The Smart City perspective A necessary change from technical to urban innovation
   github, STGEORGES GISMO
   github, LADYBUG TOOLS DRAGON
   Grasshopper, ALG MOD RHIN
   Grifoni R.C., 2013, WIT Trans. Ecol. Environ., V173, P3, DOI [10.2495/SDP130011, DOI 10.2495/SDP130011]
   Honjo T., 2009, GLOBAL ENV RES, V13, P43, DOI DOI 10.6090/JARQ.50.101
   Höppe P, 1999, INT J BIOMETEOROL, V43, P71, DOI 10.1007/s004840050118
   IPCC, 2015, Climate Change 2014: Synthesis Report. Contribution of Working Groups I
   Ladybug tools, About us
   [Masson-Delmotte IPCC. IPCC.], 2018, Global Warming of 1.5C
   Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119
   MAYER H, 1987, THEOR APPL CLIMATOL, V38, P43, DOI 10.1007/BF00866252
   OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502
   openfnirs, About us
   OpenStudio, ABOUT US
   Radiopaedia, About Us
   Ratti C, 2003, ENERG BUILDINGS, V35, P49, DOI 10.1016/S0378-7788(02)00079-8
   Ratti C., 2021, DATA REVOLUTION WILL
   Senseable City Lab, US
   senseable.mit.edu, US
   USE-Urban Sustainability Exchange, 2017, BIOCL UPGR PUBL SPAC
   UTCI, UN THERM CLIM IND DO
   WATSON ID, 1987, J CLIMATOL, V7, P193, DOI 10.1002/joc.3370070210
   Zuo J, 2015, J CLEAN PROD, V92, P1, DOI 10.1016/j.jclepro.2014.12.078
NR 43
TC 1
Z9 1
U1 2
U2 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4433
J9 ATMOSPHERE-BASEL
JI Atmosphere
PD NOV
PY 2022
VL 13
IS 11
AR 1835
DI 10.3390/atmos13111835
PG 24
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA 6A9LU
UT WOS:000880968900001
OA gold
DA 2025-01-10
ER

PT B
AU Lin, BB
   Burgess, AJ
   Murchie, EH
AF Lin, B. B.
   Burgess, A. J.
   Murchie, E. H.
BE Ong, CK
   Black, CR
   Wilson, J
TI Adaptation for Climate-sensitive Crops Using Agroforestry: Case Studies
   for Coffee and Rice
SO TREE-CROP INTERACTIONS: AGROFORESTRY IN A CHANGING CLIMATE, 2ND EDITION
LA English
DT Article; Book Chapter
ID ORYZA-SATIVA L.; WATER-USE EFFICIENCY; AIR CO2 ENRICHMENT;
   HIGH-TEMPERATURE; SOIL EVAPORATION; CARBON SEQUESTRATION; SPIKELET
   FERTILITY; ACACIA-NILOTICA; INSECT PESTS; SHADE COFFEE
C1 [Lin, B. B.] CSIRO Land & Water Flagship, Private Mail Bag 1,107-121 Stn St, Aspendale, Vic, Australia.
   [Burgess, A. J.; Murchie, E. H.] Univ Nottingham, Sch Biosci, Div Plant & Crop Sci, Loughborough LE12 5RD, Leics, England.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Nottingham
RP Lin, BB (corresponding author), CSIRO Land & Water Flagship, Private Mail Bag 1,107-121 Stn St, Aspendale, Vic, Australia.
EM brenda.lin@csiro.au; alexandra.burgess@nottingham.ac.uk;
   erik.murchie@nottingham.ac.uk
RI Lin, Brenda/A-8834-2011; Murchie, Erik/AGU-8921-2022
OI Lin, Brenda/0000-0002-6011-9172
CR Adams RM, 2003, AGR FOREST METEOROL, V115, P183, DOI 10.1016/S0168-1923(02)00201-0
   Agus F, 1998, AGROFOREST SYST, V42, P107, DOI 10.1023/A:1006020319918
   Ainsworth EA, 2005, NEW PHYTOL, V165, P351, DOI 10.1111/j.1469-8137.2004.01224.x
   Ainsworth EA, 2008, GLOBAL CHANGE BIOL, V14, P1642, DOI 10.1111/j.1365-2486.2008.01594.x
   Allen LH, 1995, CLIMATE CHANGE AND RICE, P258
   Alteri MA, 2002, AGR ECOSYST ENVIRON, V93, P1, DOI 10.1016/S0167-8809(02)00085-3
   Altieri M. A., 2002, Agroecological innovations: increasing food production with participatory development, P40
   Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6
   Altieri MA., 1994, BIODIVERSITY PEST MA
   Amthor JS, 2000, ANN BOT-LONDON, V86, P1, DOI 10.1006/anbo.2000.1175
   Anandacoomaraswamy A, 2000, AGR FOREST METEOROL, V103, P375, DOI 10.1016/S0168-1923(00)00134-9
   [Anonymous], ERYTHRINA NEW OLD WO
   [Anonymous], BUILDING RESILIENCE
   [Anonymous], COFFEE PRODUCTION TI
   [Anonymous], 2004, STAT FOOD INS WORLD
   [Anonymous], IMPACT CHIAPAS CRISE
   [Anonymous], PACIFIC STANDAR 1108
   [Anonymous], 2 INT C AGR ED 15 18
   [Anonymous], RICE RES DEV FLOOD P
   [Anonymous], ARONOMIE TROPICALE
   [Anonymous], 2 ESS CLIM CHANG AGR
   [Anonymous], PLANT PRODUCTION SCI
   [Anonymous], 67 IRRI
   [Anonymous], IMPR SMALLH INC INT
   [Anonymous], IRRI RES REP 1998 IR
   [Anonymous], RIC CLIM CHANG
   [Anonymous], MAN REC CULT CAF
   [Anonymous], PHILOS T R SOC LON B
   [Anonymous], THE GUARDIAN 0218
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2012, PHYSL BREEDING
   [Anonymous], APPL ENVIRON SOIL SC
   [Anonymous], LA JORNADA 1012
   [Anonymous], ACT 3 SEM CIENT CEL
   [Anonymous], AGROFOR SYST
   [Anonymous], CURE WORKSH CLIM CHA
   [Anonymous], 1988, COFFEE
   [Anonymous], REV CHAPINGO SERIE C
   [Anonymous], POVERTY REDUCTION SH
   [Anonymous], 2008, CLIMATE CHANGE GLOBA
   [Anonymous], 2009, FAO EXP M FEED WORLD
   [Anonymous], 2002, RICE ALMANAC
   [Anonymous], 1989, CLIMATE FOOD SECURIT
   [Anonymous], THESIS ROSKILDE U DE
   [Anonymous], IMP WORLD 2013 INT C
   [Anonymous], 2010, AGROFORESTRY SYSTEMS
   [Anonymous], AGROFORESTRY BIODIVE
   [Anonymous], RICE PRODUCTION GLOB
   [Anonymous], IRRI RES REP 2000 IR
   [Anonymous], ANN REP 2012 2013 TR
   [Anonymous], 2010, INNOVATION PARTNERSH
   [Anonymous], GLOB INF EARL WARN S
   Armbrecht I, 2007, ENTOMOL EXP APPL, V124, P261, DOI 10.1111/j.1570-7458.2007.00574.x
   Asian Development Bank (ADB), 2009, EC CLIM CHANG SE AS
   Baah-Acheamfour M, 2014, FOREST ECOL MANAG, V328, P131, DOI 10.1016/j.foreco.2014.05.031
   Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002
   Bailey-Serres J, 2010, RICE, V3, P138, DOI 10.1007/s12284-010-9048-5
   BAKER JT, 1992, AGR FOREST METEOROL, V60, P153, DOI 10.1016/0168-1923(92)90035-3
   Bhatt BP, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n02_07
   Bouman BAM, 2005, AGR WATER MANAGE, V74, P87, DOI 10.1016/j.agwat.2004.11.007
   Brandle JR, 2004, AGROFOREST SYST, V61-2, P65, DOI 10.1023/B:AGFO.0000028990.31801.62
   Camargo AP., 1985, Inf Agropec, V11, P13
   Cannell M., 1976, Kenya Coffee, V41, P245
   CANNELL MGR, 1983, BIOLOGIST, V30, P257
   Cannon RJC, 1998, GLOBAL CHANGE BIOL, V4, P785, DOI 10.1046/j.1365-2486.1998.00190.x
   CASTILLO JAIME, 1966, CENICAFE, V17, P51
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Chauhan BS, 2013, J CROP IMPROV, V27, P272, DOI 10.1080/15427528.2013.765530
   Chauhan BS, 2012, WEED SCI, V60, P385, DOI 10.1614/WS-D-11-00213.1
   CLOWES MSJ, 1977, RHOD J AGR RES, V15, P231
   Cruz RV, 2007, AR4 CLIMATE CHANGE 2007: IMPACTS, ADAPTATION, AND VULNERABILITY, P469
   Dalin P, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0005487
   DaMatta FM, 2004, FIELD CROP RES, V86, P99, DOI 10.1016/j.fcr.2003.09.001
   Das A, 2010, NUTR CYCL AGROECOSYS, V87, P9, DOI 10.1007/s10705-009-9308-1
   De Jong BHJ, 2000, ECOL ECON, V33, P313, DOI 10.1016/S0921-8009(99)00162-7
   de Souza HN, 2012, AGR ECOSYST ENVIRON, V146, P179, DOI 10.1016/j.agee.2011.11.007
   Deryng D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034011
   Ehui S, 2005, AGR ECON-BLACKWELL, V32, P225, DOI 10.1111/j.0169-5150.2004.00026.x
   Escalante F. E. E., 1987, Venezuela Forestal, V3, P50
   EVENSEN CI, 1995, AGROFOREST SYST, V31, P1, DOI 10.1007/BF00712052
   EWEL JJ, 1986, ANNU REV ECOL SYST, V17, P245, DOI 10.1146/annurev.es.17.110186.001333
   Fournier L. A., 1988, Agronomia Costarricense, V12, P131
   Franzel S., 2002, P1
   Franzel S., 2002, P37, DOI 10.1079/9780851995618.0037
   Gay C, 2006, CLIMATIC CHANGE, V79, P259, DOI 10.1007/s10584-006-9066-x
   Giovannucci D., 2003, STATE SUSTAINABLE CO
   Grassini P, 2013, NAT COMMUN, V4, DOI 10.1038/ncomms3918
   Gregory PJ, 2000, AGR ECOSYST ENVIRON, V82, P3, DOI 10.1016/S0167-8809(00)00212-7
   Gupta N, 2009, AGROFOREST SYST, V76, P27, DOI 10.1007/s10457-009-9219-9
   GUTIERREZ MV, 1994, PLANT CELL ENVIRON, V17, P1305, DOI 10.1111/j.1365-3040.1994.tb00532.x
   HAWLEY JG, 1988, J SOIL WATER CONSERV, V43, P495
   Hay R.K.M., 2006, The physiology of crop yield, VSecond
   Hocking D, 1997, AGROFOREST SYST, V39, P101, DOI 10.1023/A:1005999225770
   Howden M., 2010, Managing climate change: papers from the GREENHOUSE 2009 Conference, P101
   Iizumi T, 2013, NAT CLIM CHANGE, V3, P904, DOI [10.1038/NCLIMATE1945, 10.1038/nclimate1945]
   Ingram KT, 1995, CLIMATE CHANGE AND RICE, P278
   Islam K. K., 2006, Journal of Forestry Research (Harbin), V17, P44, DOI 10.1007/s11676-006-0010-8
   Jackson NA, 1999, AGR FOREST METEOROL, V94, P203, DOI 10.1016/S0168-1923(99)00013-1
   Jagadish SVK, 2007, J EXP BOT, V58, P1627, DOI 10.1093/jxb/erm003
   Jagadish SVK, 2010, J EXP BOT, V61, P143, DOI 10.1093/jxb/erp289
   Jama B, 2000, AGROFOREST SYST, V49, P201, DOI 10.1023/A:1006339025728
   Jaramillo J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024528
   Jose S, 2009, AGROFOREST SYST, V76, P1, DOI 10.1007/s10457-009-9229-7
   Kim HY, 2013, GLOBAL CHANGE BIOL, V19, P548, DOI 10.1111/gcb.12047
   Kim HY, 2003, FIELD CROP RES, V83, P261, DOI 10.1016/S0378-4290(03)00076-5
   King BL, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0047149, 10.1371/journal.pone.0047981, 10.1371/journal.pone.0046524]
   Klein AM, 2008, ECOLOGY, V89, P935, DOI 10.1890/07-0088.1
   Kumar B.M., 2006, Tropical Homegardens a Time-Tested Example of Sustainable Agroforestry"
   Lagemann J., 1983, Agroforestry Systems, V1, P101, DOI 10.1007/BF00596352
   LAMOUROUX N, 1995, J PHYTOPATHOL, V143, P403, DOI 10.1111/j.1439-0434.1995.tb00284.x
   Lansigan FP, 2000, AGR ECOSYST ENVIRON, V82, P129, DOI 10.1016/S0167-8809(00)00222-X
   Leakey RRB, 1999, FOOD CHEM, V66, P1, DOI 10.1016/S0308-8146(98)00072-7
   Lin BB, 2007, AGR WATER MANAGE, V92, P194, DOI 10.1016/j.agwat.2007.05.014
   Lin BB, 2007, AGR FOREST METEOROL, V144, P85, DOI 10.1016/j.agrformet.2006.12.009
   Lin BB, 2011, BIOSCIENCE, V61, P183, DOI 10.1525/bio.2011.61.3.4
   Lin BB, 2010, AGR FOREST METEOROL, V150, P510, DOI 10.1016/j.agrformet.2009.11.010
   Liu JX, 2006, FIELD CROP RES, V97, P87, DOI 10.1016/j.fcr.2005.08.019
   Long SP, 2006, SCIENCE, V312, P1918, DOI 10.1126/science.1114722
   Lott JE, 2009, AGR FOREST METEOROL, V149, P1140, DOI 10.1016/j.agrformet.2009.02.002
   MacLean RH, 2003, AGR ECOSYST ENVIRON, V94, P275, DOI 10.1016/S0167-8809(02)00033-6
   MAGALHAES AC, 1976, J HORTIC SCI BIOTECH, V51, P419, DOI 10.1080/00221589.1976.11514707
   MARSHALL FM, 1994, RESOURCE CAPTURE BY CROPS, P426
   Matsui T, 2007, PLANT PROD SCI, V10, P57, DOI 10.1626/pps.10.57
   Méndez VE, 2010, PROF GEOGR, V62, P357, DOI 10.1080/00330124.2010.483638
   Mendoza VM, 1997, CLIMATE RES, V9, P139, DOI 10.3354/cr009139
   Mercer DE, 2004, AGROFOREST SYST, V61-2, P311, DOI 10.1023/B:AGFO.0000029007.85754.70
   MoE, 2007, IND COUNTR REP CLIM
   Moguel P, 1999, CONSERV BIOL, V13, P11, DOI 10.1046/j.1523-1739.1999.97153.x
   Montagnini F, 2004, AGROFOREST SYST, V61-2, P281, DOI 10.1023/B:AGFO.0000029005.92691.79
   MONTEITH JL, 1991, FOREST ECOL MANAG, V45, P31, DOI 10.1016/0378-1127(91)90204-9
   Morais H, 2006, PESQUI AGROPECU BRAS, V41, P763, DOI 10.1590/S0100-204X2006000500007
   Murchie EH, 2009, NEW PHYTOL, V181, P532, DOI 10.1111/j.1469-8137.2008.02705.x
   Murchie EH, 1999, PLANT PHYSIOL, V119, P553, DOI 10.1104/pp.119.2.553
   Murchie EH., 2012, ENCY SUSTAINABILITY, P2615
   Murdiyarso D, 2000, ENVIRON MONIT ASSESS, V61, P123, DOI 10.1023/A:1006326404156
   Nair P.K.R., 1993, An Introduction to Agroforestry: Four Decades of Scientific Developments, DOI [10.1007/978-3-030-75358-0, DOI 10.1007/978-3-030-75358-0]
   Nair PKR, 1997, AGROFOREST SYST, V38, P223, DOI 10.1023/A:1005943729654
   Nellemann C., 2009, The Environmental Food Crisis-the Environment's Role in Averting Future Food Crises. A UNEP Rapid Response Assessment
   Nelson KC, 2003, GLOBAL ENVIRON CHANG, V13, P19, DOI 10.1016/S0959-3780(02)00088-2
   Nestel D, 1995, ECOL ECON, V15, P165, DOI 10.1016/0921-8009(95)00041-0
   Nguyen N.V., 2004, Global climate changes and rice food security
   Nolasco M., 1985, Cafe y sociedad en Mexico
   NUNES MA, 1968, ACTA BOT NEERL, V17, P93, DOI 10.1111/j.1438-8677.1968.tb00109.x
   Nutman FJ, 1937, ANN BOT-LONDON, V1, P353, DOI 10.1093/oxfordjournals.aob.a083474
   Oh-e I, 2007, PLANT PROD SCI, V10, P412, DOI 10.1626/pps.10.412
   Pandey CB, 2003, AGR ECOSYST ENVIRON, V96, P133, DOI 10.1016/S0167-8809(02)00221-9
   Parry M, 2005, PHILOS T R SOC B, V360, P2125, DOI 10.1098/rstb.2005.1751
   Pasch R.J., 2006, TROPICAL CYCLONE REP
   Passioura JB, 1996, PLANT GROWTH REGUL, V20, P79, DOI 10.1007/BF00024003
   Passioura J, 2007, J EXP BOT, V58, P113, DOI 10.1093/jxb/erl212
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Perfecto I, 2004, ECOLOGY, V85, P2677, DOI 10.1890/03-3145
   Perfecto I, 1996, BIOSCIENCE, V46, P598, DOI 10.2307/1312989
   Philpott SM, 2008, AGR ECOSYST ENVIRON, V128, P12, DOI 10.1016/j.agee.2008.04.016
   Porter JR, 2005, PHILOS T R SOC B, V360, P2021, DOI 10.1098/rstb.2005.1752
   Prasad PVV, 2006, FIELD CROP RES, V95, P398, DOI 10.1016/j.fcr.2005.04.008
   Rice RA, 2000, AMBIO, V29, P167, DOI 10.1579/0044-7447-29.3.167
   RUTHERFORD DW, 1992, ENVIRON SCI TECHNOL, V26, P336, DOI 10.1021/es00026a014
   Salinas-Zavala CA, 2002, REMOTE SENS ENVIRON, V82, P417, DOI 10.1016/S0034-4257(02)00057-3
   Samsuzzaman S, 1999, AGROFOREST SYST, V46, P251, DOI 10.1023/A:1006049711801
   Savchenko G. E., 2002, Russian Journal of Plant Physiology, V49, P349, DOI 10.1023/A:1015592902659
   Schlenker W, 2010, ENVIRON RES LETT, V5, DOI 10.1088/1748-9326/5/1/014010
   SEMENOV MA, 1995, AGR FOREST METEOROL, V73, P265, DOI 10.1016/0168-1923(94)05078-K
   Serraj R, 2009, ADV AGRON, V103, P41, DOI 10.1016/S0065-2113(09)03002-8
   Sharif M., 2010, J AGROFOR ENV, P167
   Smith J, 2013, RENEW AGR FOOD SYST, V28, P80, DOI 10.1017/S1742170511000585
   Somarriba E, 2001, AGROFOREST SYST, V53, P195, DOI 10.1023/A:1013380605176
   Soto-Pinto L, 2000, AGR ECOSYST ENVIRON, V80, P61, DOI 10.1016/S0167-8809(00)00134-1
   Soto-Pinto L, 2002, AGROFOREST SYST, V55, P37, DOI 10.1023/A:1020266709570
   Squire G., 1990, PHYSL TROPICAL CROP
   SQUIRE GR, 1978, J APPL ECOL, V15, P287, DOI 10.2307/2402938
   Stigter CJ, 2002, J WIND ENG IND AEROD, V90, P1101, DOI 10.1016/S0167-6105(02)00224-6
   Tamang B, 2010, AGROFOREST SYST, V79, P111, DOI 10.1007/s10457-010-9280-4
   Tao HB, 2006, FIELD CROP RES, V95, P1, DOI 10.1016/j.fcr.2005.01.019
   TEARE ID, 1973, AGRON J, V65, P207, DOI 10.2134/agronj1973.00021962006500020007x
   TILANDER Y, 1995, AGROFOREST SYST, V30, P363, DOI 10.1007/BF00705220
   Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014
   Tomar JMS, 2013, AGROFOREST SYST, V87, P193, DOI 10.1007/s10457-012-9535-3
   Tripathy JN, 2000, THEOR APPL GENET, V100, P1197, DOI 10.1007/s001220051424
   VANDERMEER J, 1995, ANNU REV ECOL SYST, V26, P201, DOI 10.1146/annurev.es.26.110195.001221
   Verchot L. V., 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., P103
   Verdin J, 2005, PHILOS T R SOC B, V360, P2155, DOI 10.1098/rstb.2005.1754
   Viswanath S, 2000, AGROFOREST SYST, V50, P157, DOI 10.1023/A:1006486912126
   von Caemmerer S, 2012, SCIENCE, V336, P1671, DOI 10.1126/science.1220177
   Wallace JS, 1999, AGR FOREST METEOROL, V94, P189, DOI 10.1016/S0168-1923(99)00009-X
   Wallace JS, 2000, AGR ECOSYST ENVIRON, V82, P105, DOI 10.1016/S0167-8809(00)00220-6
   Welch JR, 2010, P NATL ACAD SCI USA, V107, P14562, DOI 10.1073/pnas.1001222107
   Wollenweber B, 2003, J AGRON CROP SCI, V189, P142, DOI 10.1046/j.1439-037X.2003.00025.x
   Xu K, 2006, NATURE, V442, P705, DOI 10.1038/nature04920
   Zhu XG, 2010, ANNU REV PLANT BIOL, V61, P235, DOI 10.1146/annurev-arplant-042809-112206
   ZINKE PJ, 1962, ECOLOGY, V43, P130, DOI 10.2307/1932049
   ZISKA LH, 1992, PHYSIOL PLANTARUM, V84, P269, DOI 10.1111/j.1399-3054.1992.tb04664.x
NR 192
TC 4
Z9 4
U1 0
U2 7
PU CABI PUBLISHING-C A B INT
PI WALLINGFORD
PA CABI PUBLISHING, WALLINGFORD 0X10 8DE, OXON, ENGLAND
BN 978-1-78064-511-7
PY 2015
BP 278
EP 308
D2 10.1079/9781780645117.0000
PG 31
WC Forestry; Horticulture
WE Book Citation Index – Science (BKCI-S)
SC Forestry; Agriculture
GA BH5WJ
UT WOS:000401528200012
DA 2025-01-10
ER

PT J
AU Rodima-Taylor, D
AF Rodima-Taylor, Daivi
TI Social innovation and climate adaptation: Local collective action in
   diversifying Tanzania
SO APPLIED GEOGRAPHY
LA English
DT Article
DE Adaptation; Climate change; Social innovation; Institutions;
   Diversification; Tanzania
ID VULNERABILITY; INSTITUTIONS; DYNAMICS
AB In African communities, informal associations are becoming increasingly important in shaping and mediating local adaptation practices. The study suggests that the concept of social innovation is useful for analyzing climate adaptation in the multiscale institutional environments with complex vulnerability contexts. Small-scale local associations have a potential to facilitate collective experimentation and risk management, contributing to the resilience and sustainability of the social-ecological system. Ethnographic focus is on the informal associations of economic cooperation and dispute mediation of Kuria people of northwest Tanzania, and the ways these institutional forms facilitate resource management and the negotiation of difference under income diversification. Organizational features of the groups are examined that facilitate social innovation and alternative patterns of communication, effecting flexible and relational connections between scales. The study examines the features of the local institutions that have a potential to enhance local adaptive capacity, and discusses possible challenges to sustainable climate adaptation. (C) 2011 Elsevier Ltd. All rights reserved.
C1 Boston Univ, African Studies Ctr, Boston, MA 02115 USA.
C3 Boston University
RP Rodima-Taylor, D (corresponding author), Boston Univ, African Studies Ctr, 232 Bay State Rd, Boston, MA 02115 USA.
EM rodima@bu.edu
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Agrawal A, 2010, NEW FRONT SOC POLICY, P173
   Agrawal Arun., 2008, ROLE LOCAL I ADAPTAT, DOI [10.1596/28274, 10.1007/978-0-387-75217-4_1]
   Ayers J., 2009, COMMUNITY BASED ADAP, V51, P24
   Bakema-Boon A., 1991, GENDER DIFFERENTION
   BERRY S, 1989, AFRICA, V59, P41, DOI 10.2307/1160762
   Duarte M., 2007, ENV MATTERS ANN 0724, P24
   Ellis F, 2003, WORLD DEV, V31, P1367, DOI 10.1016/S0305-750X(03)00100-1
   Eriksen SH, 2005, GEOGR J, V171, P287, DOI 10.1111/j.1475-4959.2005.00174.x
   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
   Gachathi FN, 2011, CLIM DEV, V3, P59, DOI 10.3763/cdev.2010.0066
   Heltberg R, 2010, NEW FRONT SOC POLICY, P259
   Holling C.S., 2002, PANARCHY, P3
   Leach M, 1999, WORLD DEV, V27, P225, DOI 10.1016/S0305-750X(98)00141-7
   Leadbeater C., 2007, Social enterprise and social innovation: Strategies for the next ten years
   Matango R., 1976, THESIS U DAR ES SALA
   Mbilinyi M., 1999, GENDER MICROENTERPRI
   Mertz O, 2009, ENVIRON MANAGE, V43, P743, DOI 10.1007/s00267-008-9259-3
   Mniwaza E., 2001, REV DECENTRALIZATION
   Moulaert F, 2005, URBAN STUD, V42, P2071, DOI 10.1080/420980500279752
   Moulaert F, 2003, REG STUD, V37, P289, DOI 10.1080/0034340032000065442
   Mungongo C., 1998, COMING FULL CIRCLE A, V26
   Mwandosya M., 1998, The Assessment of Vulnerability and Adaptation to Climate Change Impacts in Tanzania
   Mwiturubani D. A., 2010, I SECURITY STUDIES M, V170, P63
   National bureau of statistics, 2002, SOC PROF
   Nelson V., 2009, Gender and Development, V17, P81, DOI 10.1080/13552070802696946
   O'Brien K, 2009, ENVIRON SCI POLICY, V12, P23, DOI 10.1016/j.envsci.2008.10.008
   Omani C. K., 1996, WHAT WENT RIGHT TANZ
   Orindi V., 2006, ECOPOLICY SERIES, V18
   Reid H., 2009, Participatory Learning and Action, V60, P11
   Ribot J, 2010, NEW FRONT SOC POLICY, P47
   Rodima D., 2007, THESIS BRANDEIS U MA
   Ruel M., 1959, SOCIAL ORG KURIA FIE
   Scott-Cato M, 2010, ENVIRON POLIT, V19, P869, DOI 10.1080/09644016.2010.518677
   Shayo R., 2007, 8 CTR BAS RES
   Swantz MarijaL., 1996, WHAT WENT RIGHT TANZ
   TOBLER WR, 1970, ECON GEOGR, V46, P234, DOI 10.2307/143141
   Walker B., 2004, Ecology and Society, V9, P5
NR 39
TC 64
Z9 76
U1 0
U2 78
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0143-6228
EI 1873-7730
J9 APPL GEOGR
JI Appl. Geogr.
PD APR
PY 2012
VL 33
IS 1
SI SI
BP 128
EP 134
DI 10.1016/j.apgeog.2011.10.005
PG 7
WC Geography
WE Social Science Citation Index (SSCI)
SC Geography
GA 872AE
UT WOS:000298778000015
DA 2025-01-10
ER

PT J
AU Sietz, D
   Boschütz, M
   Klein, RJT
AF Sietz, Diana
   Boschuetz, Maria
   Klein, Richard J. T.
TI Mainstreaming climate adaptation into development assistance: rationale,
   institutional barriers and opportunities in Mozambique
SO ENVIRONMENTAL SCIENCE & POLICY
LA English
DT Article
DE Climate adaptation; Sub-national; Climate-sensitive investments;
   Official development assistance; Africa; Mozambique
ID DEVELOPING-COUNTRIES
AB In Mozambique, weather extremes threaten development progress, while pronounced poverty aggravates the climate vulnerability of the population. With the country being a major recipient of official development assistance, Mozambique's development strongly depends on donor investments. Against this background, we aim to encourage the mainstreaming of climate adaptation into development assistance. An analysis of donor investments at a sub-national level showed that a significant proportion of development assistance was invested in climate-sensitive sectors in regions highly exposed to extreme weather conditions. Major damage caused by weather extremes motivates a stronger integration of climate policies into development assistance. Although Mozambique ha:; a supportive legislative environment and climate awareness among donors was found to be high, the limited institutional capacity restricted mainstreaming initiatives. Given major barriers at the national level, bilateral and multilateral donors are able to play a key role in fostering mainstreaming in Mozambique. (C) 2011 Elsevier Ltd. All rights reserved.
C1 [Sietz, Diana; Boschuetz, Maria] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany.
   [Klein, Richard J. T.] Stockholm Environm Inst, S-10691 Stockholm, Sweden.
C3 Potsdam Institut fur Klimafolgenforschung; Stockholm Environment
   Institute
RP Sietz, D (corresponding author), Potsdam Inst Climate Impact Res, POB 60 12 03, D-14412 Potsdam, Germany.
EM diana.sietz@pik-potsdam.de
RI Sietz, Diana/H-7303-2014; Klein, Richard J.T./B-1148-2009
OI Klein, Richard J.T./0000-0002-9458-0944; Sietz,
   Diana/0000-0002-2309-2134
FU World Bank-Netherlands Partnership Program
FX The research for this paper was funded by the World Bank-Netherlands
   Partnership Program. We express our gratitude and appreciation for the
   contribution of the international and national experts who participated
   in the interviews, provided background information, shared documentation
   and offered logistical support in Mozambique. Special thanks go to
   Alexander Lotsch, the staff members of the World Bank in Maputo, the
   Mozambican Red Cross, the Deutsche Gesellschaft fur Technische
   Zusammenarbeit and Anne Cristina de la Vega-Leinert for stimulating
   discussions and valuable comments.
CR Adger WN, 1999, WORLD DEV, V27, P249, DOI 10.1016/S0305-750X(98)00136-3
   Agrawala Shardul., 2005, Bridge over Troubled Waters: Linking Climate Change and Development, P133
   [Anonymous], 2021, [No title captured]
   [Anonymous], AFRICA SMOKE 2 REPOR
   [Anonymous], PLAN DIR PREV MIT CA
   [Anonymous], ATL DIS PREP RESP LI
   [Anonymous], PROGR QUINQ GOV 2010
   [Anonymous], DISASTER RISK MANAGE
   [Anonymous], 1 IDS
   [Anonymous], 2010, WORLD DEV IND 2010
   Baettig MB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028159
   Batley R., 2006, Evaluation of general budget support - Mozambique country report
   Chigwada J., 2004, Adverse Impacts of Climate Change and Development Challenges: Integrating Adaptation in Policy and Development in Malawi
   CIDA, 2004, DIR BUDG SUPP PIL PO
   EM-DAT, 2009, OFDA CRED INT DIS DA
   GoM, 2003, VIS ESTR NAC AG 2025
   GoM, 2005, REP MILL DEV GOALS
   GoM, 2006, Plano de Accao para a Reducao da Pobreza Absoluta, 2006-2009 (PARPA II)'
   GoM, 2005, PLAN CONT 2004 2005
   [GoM PAP], 2006, JOINT REV GOV IMPL P
   Huq S., 2003, MAINSTREAMING ADAPTA
   Huq S., 2006, IIED GATEKEEPER SERI, V123
   IRI, 2006, PROC 2006 ISSAC
   Kaufmann Daniel., 2007, GOVERNANCE MATTERS 6, DOI 10.1596/1813-9450-4280
   Killick Tony., 2005, Perfect Partners? The Performance of Programme Aid Partners in Mozambique, 2004, Maputo, PAPs e GoM
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Kramer A.M., 2007, 200734 UNDP
   Lal M, 2001, CURR SCI INDIA, V80, P1103
   Lasco RD, 2009, CLIM DEV, V1, P130, DOI 10.3763/cdev.2009.0009
   Magrath J., 2006, AFRICA SMOKE 2 4 REP
   Markandya A., 2002, Climate Change and Sustainable Development: Prospects for Developing Countries
   Michaelowa A, 2007, CLIMATIC CHANGE, V84, P5, DOI 10.1007/s10584-007-9270-3
   MICOA, 2007, NAT AD PROGR ACT NAP
   MICOA, 2006, SIN ENTR 3 CONV RIO
   Mills Ken I, 2002, Methods Mol Biol, V200, P1
   Mirza MMQ, 2003, CLIM POLICY, V3, P233, DOI 10.1016/S1469-3062(03)00052-4
   New M, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006289
   ODAmoz, 2009, OFF DEV ASS MOZ DAT
   ODI, 2004, 3 ODI
   OECD, 2010, AID STAT
   OECD, 2009, Integrating Climate Change Adaptation into Development Co-Operation
   Organisation for Economic Co-operation and Development(OECD), 2006, CHALL CAP DEV WORK G
   Ostrom E, 2005, UNDERSTANDING INSTITUTIONAL DIVERSITY, P1
   Persson A., 2008, MAINSTREAMING CLIMAT
   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]
   SETSAN, 2005, REL AN VULN CRON SEG
   Skelton A., 2003, Mozambique: Human capacity building assessment
   Sperling F., 2003, Poverty and climate change
   Stasavage D, 1999, COMMONW COMP POLIT, V37, P65, DOI 10.1080/14662049908447797
   UNDAF, 2007, UN DEV ASS FRAM 2007
   UNFCCC, 2006, AFR WORKSH AD IMPL D
   UNFCCC, 2005, FCCCTP20053 UNFCCC
   Yamin F, 2005, CLIM POLICY, V5, P349
   ,, 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 54
TC 57
Z9 62
U1 1
U2 20
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 JUN
PY 2011
VL 14
IS 4
BP 493
EP 502
DI 10.1016/j.envsci.2011.01.001
PG 10
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA 776YN
UT WOS:000291577300014
DA 2025-01-10
ER

PT J
AU Chuang, HW
   Yang, SR
   Ou, T
   Lin, TP
AF Chuang, Hui-Wen
   Yang, Shing-Ru
   Ou, Ting
   Lin, Tzu-Ping
TI CLIMATIC ADAPTATION OF COASTAL COMMUNITIES ON THE SOUTHWEST OF TAIWAN
SO JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN
LA English
DT Article
DE climate change; adaptation; flood; coastal communities; DPSIR
ID ZONES
AB Flooding is the most common and critical climatic disaster for coastal communities in Taiwan. This study applied an evaluation framework comprising five categories, namely "community competence," "infrastructure stability," "social-economic support," "interior environmental capacity," and "outdoor environment adaptability," to six coastal communities of Tainan City, Taiwan, to evaluate their climatic adaptation. Having experienced multiple floods, all six communities performed relatively well in the infrastructure stability, but poorly in outdoor environment adaptability. In face-to-face interviews, interviewees reflected that the most vital sector affected by climate change is their fishing industry; however, the "industry" item was eliminated by experts during the implementation of the Fuzzy Delphi questionnaire. Therefore, beside the evaluation framework of community climatic adaptation, another contribution of this study is the execution of the interviews to reduce the inconsistency between real life situations and academic development.
C1 [Chuang, Hui-Wen] Southern Taiwan Univ Sci & Technol, Dept Leisure Recreat & Tourism Management, Tainan, Taiwan.
   [Yang, Shing-Ru; Ou, Ting; Lin, Tzu-Ping] Natl Cheng Kung Univ, Dept Architecture, Tainan, Taiwan.
C3 Southern Taiwan University of Science & Technology; National Cheng Kung
   University
RP Lin, TP (corresponding author), Natl Cheng Kung Univ, Dept Architecture, Tainan, Taiwan.
EM lin678@gmail.com
RI Lin, Tzu-Ping/D-2719-2014
OI Lin, Tzu-Ping/0000-0003-3961-9858
CR [Anonymous], 2014, CONTRIBUTION WORKING
   [Anonymous], the IPCC 5th assessment
   [Anonymous], 2001, CLIMATE CHANGE 2001
   [Anonymous], IBRD ART AGR
   [Anonymous], 2006, Resilience Thinking: Sustaining Ecosystems and People in a Changing World
   [Anonymous], 2003, NAVIGATING SOCIAL EC, DOI DOI 10.1017/CBO9780511541957
   Button C, 2015, T ROY SOC SOUTH AUST, V139, P38, DOI 10.1080/03721426.2015.1035216
   DasGupta R, 2015, J COAST CONSERV, V19, P85, DOI 10.1007/s11852-014-0369-1
   Gibbon M, 2002, HEALTH SOC CARE COMM, V10, P485, DOI 10.1046/j.1365-2524.2002.00388.x
   Harvey N., 2008, S AUST GEOGR J, V107, P69
   Knutson TR, 2010, NAT GEOSCI, V3, P157, DOI 10.1038/NGEO779
   McGranahan G, 2007, ENVIRON URBAN, V19, P17, DOI 10.1177/0956247807076960
   Mimura N., 2007, CLIMATE CHANGE 2007, P690
   Nicholls RJ, 2010, SCIENCE, V328, P1517, DOI 10.1126/science.1185782
   Ou T.R., 2015, THESIS
   Tseng Y. H., 2010, TRENDS SEA LEVEL RIS
NR 16
TC 1
Z9 1
U1 1
U2 25
PU NATL TAIWAN OCEAN UNIV
PI KEELUNG
PA NO 2 PEI-NING RD, KEELUNG, 202, TAIWAN
SN 1023-2796
J9 J MAR SCI TECH-TAIW
JI J. Mar. Sci. Technol.-Taiwan
PD DEC
PY 2016
VL 24
IS 6
BP 1063
EP 1069
DI 10.6119/JMST-016-0714-2
PG 7
WC Engineering, Multidisciplinary; Oceanography
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Oceanography
GA EG9YU
UT WOS:000391418600003
DA 2025-01-10
ER

PT J
AU Prober, SM
   Byrne, M
   McLean, EH
   Steane, DA
   Potts, BM
   Vaillancourt, RE
   Stock, WD
AF Prober, Suzanne M.
   Byrne, Margaret
   McLean, Elizabeth H.
   Steane, Dorothy A.
   Potts, Brad M.
   Vaillancourt, Rene E.
   Stock, William D.
TI Climate-adjusted provenancing: a strategy for climate-resilient
   ecological restoration
SO FRONTIERS IN ECOLOGY AND EVOLUTION
LA English
DT Article
DE climate adaptation; ecological restoration; genomics; plasticity;
   widespread species
ID ADAPTATION; PLASTICITY; RESPONSES; GENETICS
C1 [Prober, Suzanne M.; McLean, Elizabeth H.] CSIRO, Land & Water Flagship, Wembley, WA, Australia.
   [Byrne, Margaret; McLean, Elizabeth H.] Dept Pk & Wildlife, Sci & Conservat Div, Kensington, WA, Australia.
   [Steane, Dorothy A.; Potts, Brad M.; Vaillancourt, Rene E.] Univ Tasmania, Sch Biol Sci, Fac Sci Engn & Technol, Hobart, Tas, Australia.
   [Steane, Dorothy A.] Univ Sunshine Coast, Fac Sci Hlth Educ & Engn, Sippy Downs, Qld, Australia.
   [Stock, William D.] Edith Cowan Univ, Ctr Ecosyst Management, Sch Nat Sci, Joondalup, WA, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Tasmania; University of the Sunshine Coast; Edith Cowan
   University
RP Prober, SM (corresponding author), CSIRO, Land & Water Flagship, Wembley, WA, Australia.
EM suzanne.prober@csiro.au
RI Stock, William/B-8858-2008; Vaillancourt, Rene/C-6123-2013; Steane,
   Dorothy/N-9940-2013; Byrne, Margaret/H-8198-2015; Vaillancourt,
   Rene/J-7456-2014; McLean, Elizabeth/H-7967-2013; Prober,
   Suzanne/G-6465-2010; Potts, Brad/C-6489-2013
OI Steane, Dorothy/0000-0002-8061-8454; Byrne,
   Margaret/0000-0002-7197-5409; Vaillancourt, Rene/0000-0002-1159-9149;
   McLean, Elizabeth/0000-0003-0998-2218; Prober,
   Suzanne/0000-0002-6518-239X; Potts, Brad/0000-0001-6244-289X
FU National Climate Change Adaptation Research Facility (Australia) [TB11
   03]; Great Western Woodlands Supersite, part of Australia's Terrestrial
   Ecosystem Research Network; Australian Research Council [LP120200380]
FX This work was supported by the National Climate Change Adaptation
   Research Facility (Australia, Project number TB11 03), the Great Western
   Woodlands Supersite, part of Australia's Terrestrial Ecosystem Research
   Network and the Australian Research Council (LP120200380).
CR Aitken SN, 2013, ANNU REV ECOL EVOL S, V44, P367, DOI 10.1146/annurev-ecolsys-110512-135747
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Angeloni F, 2012, EVOL APPL, V5, P130, DOI 10.1111/j.1752-4571.2011.00217.x
   [Anonymous], 2015, Clim. Chang. Responses, DOI [DOI 10.1186/S40665-014-0009-X, 10.1186/s40665-014-0009-x]
   Breed MF, 2013, CONSERV GENET, V14, P1, DOI 10.1007/s10592-012-0425-z
   Broadhurst LM, 2008, EVOL APPL, V1, P587, DOI 10.1111/j.1752-4571.2008.00045.x
   Byrne, 2013, ADAPTATION CLIMATE W
   Byrne M, 2011, J APPL ECOL, V48, P1365, DOI 10.1111/j.1365-2664.2011.02045.x
   Crowe KA, 2008, CLIMATIC CHANGE, V89, P355, DOI 10.1007/s10584-007-9373-x
   Cunningham S., 2008, ReWealth!: Stake Your Claim in the $2 Trillion Development Trend That's Renewing the World
   Dillon S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103515
   Havens K, 2015, NAT AREA J, V35, P122, DOI 10.3375/043.035.0116
   Hoffmann AA, 2011, NATURE, V470, P479, DOI 10.1038/nature09670
   IPCC, 2018, GLOB WARM 1 5C SUMM
   Isaac-Renton MG, 2014, GLOBAL CHANGE BIOL, V20, P2607, DOI 10.1111/gcb.12604
   Kirono DGC, 2011, J ARID ENVIRON, V75, P566, DOI 10.1016/j.jaridenv.2010.12.012
   Matyas C, 1996, EUPHYTICA, V92, P45, DOI 10.1007/BF00022827
   McKay JK, 2005, RESTOR ECOL, V13, P432, DOI 10.1111/j.1526-100X.2005.00058.x
   McLean EH, 2014, PLANT CELL ENVIRON, V37, P1440, DOI 10.1111/pce.12251
   Nicotra AB, 2010, TRENDS PLANT SCI, V15, P684, DOI 10.1016/j.tplants.2010.09.008
   Savolainen O, 2013, NAT REV GENET, V14, P807, DOI 10.1038/nrg3522
   Sgrò CM, 2011, EVOL APPL, V4, P326, DOI 10.1111/j.1752-4571.2010.00157.x
   Steane DA, 2015, TREE GENET GENOMES, V11, DOI 10.1007/s11295-015-0864-z
   Steane DA, 2014, MOL ECOL, V23, P2500, DOI 10.1111/mec.12751
   Thomas E, 2014, FOREST ECOL MANAG, V333, P66, DOI 10.1016/j.foreco.2014.07.015
   Wang TL, 2010, ECOL APPL, V20, P153, DOI 10.1890/08-2257.1
   Weeks AR, 2011, EVOL APPL, V4, P709, DOI 10.1111/j.1752-4571.2011.00192.x
   Whitham TG, 2006, NAT REV GENET, V7, P510, DOI 10.1038/nrg1877
   Williams AV, 2014, TRENDS PLANT SCI, V19, P529, DOI 10.1016/j.tplants.2014.03.011
NR 29
TC 214
Z9 223
U1 4
U2 38
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
J9 FRONT ECOL EVOL
JI Front. Ecol. Evol.
PY 2015
VL 3
AR 65
DI 10.3389/fevo.2015.00065
PG 5
WC Ecology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA VI4JS
UT WOS:000485318800073
OA Green Published, gold, Green Accepted
DA 2025-01-10
ER

PT J
AU Schloss, CA
   Cameron, DR
   Mcrae, BH
   Theobald, DM
   Jones, A
AF Schloss, Carrie A.
   Cameron, D. Richard
   Mcrae, Brad H.
   Theobald, David M.
   Jones, Aaron
TI "No-regrets" pathways for navigating climate change: planning for
   connectivity with land use, topography, and climate
SO ECOLOGICAL APPLICATIONS
LA English
DT Article
DE California; Circuitscape; climate adaptation; climate analogs; climate
   change; connectivity; conservation planning; corridor; linkage;
   microclimate; range shifts; topographic diversity
ID DISPERSAL CORRIDORS; MODEL; CONSERVATION; MOVEMENT; NETWORK
AB As both plant and animal species shift their ranges in response to a changing climate, maintaining connectivity between present habitat and suitable habitat in the future will become increasingly important to ensure lasting protection for biodiversity. Because the temporal period commensurate with planning for mid-century change is multi-generational for most species, connectivity designed to facilitate climate adaptation requires pathways with 'stepping-stones' between current and future habitat. These areas should have habitats suitable not only for dispersal, but for all aspects of species lifecycles. We integrated present-day land use, topographic diversity, and projections of shifting climate regimes into a single connectivity modeling approach to identify pathways for mid-century shifts in species ranges. Using Omniscape we identified climate linkages, or areas important for climate change-driven movement, as the areas with more current flow than would be expected in the absence of climate considerations. This approach identified connectivity potential between natural lands in the present climate and natural lands with future analogous climate following topo-climatically diverse routes. We then translated the model output into a strategic framework to improve interpretation and to facilitate a more direct connection with conservation action. Across modified landscapes, pathways important to climate-driven movement were highly coincident with the last remaining present-day linkages, reinforcing their importance. Across unfragmented lands, the presence of climate-adapted pathways helped inform the prioritization of conservation actions in areas where multiple connectivity options still exist. Many climate linkages follow major watercourses along elevational gradients, highlighting the importance of protecting or managing for these natural linear pathways that provide movement routes for climate adaptation. By integrating enduring landscape features with climate projections and present-day land uses, our approach reveals "no-regrets" pathways to plan for a connected landscape in an uncertain future.
C1 [Schloss, Carrie A.; Cameron, D. Richard] Nature Conservancy, San Francisco, CA 94105 USA.
   [Mcrae, Brad H.] Nature Conservancy, North Amer Reg, Ft Collins, CO USA.
   [Theobald, David M.] Conservat Planning Technol, Ft Collins, CO USA.
   [Jones, Aaron] Nature Conservancy, Santa Fe, NM USA.
C3 Nature Conservancy; Nature Conservancy; Nature Conservancy
RP Schloss, CA (corresponding author), Nature Conservancy, San Francisco, CA 94105 USA.
EM cschloss@tnc.org
FU Nature Conservancy California Chapter Science Catalyst Fund
FX This research was funded by the Nature Conservancy California Chapter
   Science Catalyst Fund. This study benefited from helpful discussion with
   and critical interpretation by Michael Schindel, Ken Popper, Mark
   Anderson, and Kim Hall and from insightful comments from two anonymous
   reviewers. Carrie Schloss, Dick Cameron, Brad McRae, and Dave Theobald
   developed the theoretical approach and parameterized model runs; Brad
   McRae developed the Omniscape model and enhanced features; Dave Theobald
   developed the source and resistance layers for model input; Carrie
   Schloss and Brad McRae performed sensitivity testing and ran the
   analysis; Carrie Schloss, Dick Cameron, Dave Theobald, and Aaron Jones
   wrote the paper; Aaron Jones and Carrie Schloss created the figures.
   Dave Theobald's initial work was conducted while at Conservation Science
   Partners, Inc.
CR Andersen M., 2016, Race, class, and gender: An anthology, P1, DOI DOI 10.1201/9781315382326
   Anderson MG, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011554
   [Anonymous], 2017, CALIFORNIA PROTECTED
   [Anonymous], 2016, CALIFORNIA CONSERVAT
   Beier Paul, 2012, Ecological Restoration, V30, P312, DOI 10.3368/er.30.4.312
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Carroll C, 2018, GLOBAL CHANGE BIOL, V24, P5318, DOI 10.1111/gcb.14373
   Carroll C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140486
   Chen I.-C., 2011, Science, V1024, P17
   Compton BW, 2007, CONSERV BIOL, V21, P788, DOI 10.1111/j.1523-1739.2007.00674.x
   Dickson BG, 2019, CONSERV BIOL, V33, P239, DOI 10.1111/cobi.13230
   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
   Dobrowski SZ, 2009, AGR FOREST METEOROL, V149, P1751, DOI 10.1016/j.agrformet.2009.06.006
   Early R, 2011, ECOL LETT, V14, P1125, DOI 10.1111/j.1461-0248.2011.01681.x
   Fremier AK, 2015, BIOL CONSERV, V191, P29, DOI 10.1016/j.biocon.2015.06.029
   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
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Keeley ATH, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aacb85
   Krosby M, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0205156
   Landau V.A., 2021, J. Open Source Softw., V6, P2829, DOI DOI 10.21105/JOSS.02829
   Littlefield CE, 2019, FRONT ECOL ENVIRON, V17, P270, DOI 10.1002/fee.2043
   Littlefield CE, 2017, CONSERV BIOL, V31, P1397, DOI 10.1111/cobi.12938
   Martin GM, 2011, GEOSCI MODEL DEV, V4, P723, DOI 10.5194/gmd-4-723-2011
   McClure ML, 2017, ECOL EVOL, V7, P3762, DOI 10.1002/ece3.2939
   McCune B, 2002, J VEG SCI, V13, P603, DOI 10.1111/j.1654-1103.2002.tb02087.x
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McKay L., 2012, NHDPLUS VERSION 2 US
   McRae B.H., 2016, CONSERVING NATURES S, P47, DOI [10.13140/RG.2.1.4158.6166, DOI 10.13140/RG.2.1.4158.6166]
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   Moritz C, 2008, SCIENCE, V322, P261, DOI 10.1126/science.1163428
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Parks S.A., 2020, GLOBAL CHANGE BIOL, V2020, P1
   Pellatt MG, 2012, ENVIRON MANAGE, V49, P802, DOI 10.1007/s00267-012-9815-8
   Pelletier D, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0084135
   Phillips SJ, 2008, ECOL APPL, V18, P1200, DOI 10.1890/07-0507.1
   Riitters KH, 2002, ECOSYSTEMS, V5, P815, DOI 10.1007/s10021-002-0209-2
   Román-Palacios C, 2020, P NATL ACAD SCI USA, V117, P4211, DOI 10.1073/pnas.1913007117
   Rose NA, 2009, FOREST ECOL MANAG, V258, pS64, DOI 10.1016/j.foreco.2009.07.053
   Salo JA, 2016, RIVER RES APPL, V32, P1709, DOI 10.1002/rra.3019
   Schloss CA, 2012, P NATL ACAD SCI USA, V109, P8606, DOI 10.1073/pnas.1116791109
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Theobald DM, 2020, EARTH SYST SCI DATA, V12, P1953, DOI 10.5194/essd-12-1953-2020
   Theobald DM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0143619
   Theobald DM, 2013, LANDSCAPE ECOL, V28, P1859, DOI 10.1007/s10980-013-9941-6
   Theobald DM, 2012, CONSERV LETT, V5, P123, DOI 10.1111/j.1755-263X.2011.00218.x
   U.S. Environmental Protection Agency, 2016, EPA600R16366F
   Virkkala R, 2020, DIVERSITY-BASEL, V12, DOI 10.3390/d12020056
   Voldoire A, 2013, CLIM DYNAM, V40, P2091, DOI 10.1007/s00382-011-1259-y
   Williams P, 2005, CONSERV BIOL, V19, P1063, DOI 10.1111/j.1523-1739.2005.00080.x
NR 52
TC 29
Z9 32
U1 6
U2 52
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 JAN
PY 2022
VL 32
IS 1
AR e02468
DI 10.1002/eap.2468
EA OCT 2021
PG 11
WC Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA XY9DV
UT WOS:000712120100001
PM 34614272
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Wijaya, N
   Nitivattananon, V
   Shrestha, RP
   Kim, SM
AF Wijaya, Nurrohman
   Nitivattananon, Vilas
   Shrestha, Rajendra Prasad
   Kim, Sohee Minsun
TI Drivers and Benefits of Integrating Climate Adaptation Measures into
   Urban Development: Experience from Coastal Cities of Indonesia
SO SUSTAINABILITY
LA English
DT Article
DE climate adaptation; coastal city; drivers and benefits; integration
   progress; local perspective
ID MAINSTREAMING ADAPTATION; LOCAL-GOVERNMENT; CHALLENGES; RISK; KNOWLEDGE;
   CAPACITY; BARRIERS; IMPACTS
AB Integrating climate adaptation measures into urban development has emerged as a holistic approach to minimize climate change impacts and to enhance urban resilience. Although there has been an initial implementation of the integrated strategy at the national level, the progress of its adoption at the local level is relatively less studied. The study aims to examine the integration development of climate adaptation measures into urban development strategies by looking at its drivers and benefits in two coastal cities of Indonesia, i.e., Semarang and Bandar Lampung. Both cities have experienced climate change impacts and the preliminary effort of the integration process. The study was depended on close-ended Likert-scale questions with key actors representing local authorities and relevant stakeholders. Then, a Weighted Average Index was applied to transform their perceptions. The assessment of their knowledge of related issues was conducted. Secondary data was obtained from a desk study. The study found out that the effort of the integration process had influenced stakeholder's understanding of the issue of climate change and urban development, as well as its relationship. The level of stakeholder's knowledge related to the issue was very high. The result also revealed that the most influencing driver of the integration process is related to the motivation and initiative of municipal officers. It significantly contributed local governments to adopt its integration strategy. There was a strong consensus regarding the benefits of the integration process. They believed that it could ensure sustainable urban development in the future. This empirical study distinguishes the significance of integration development based on the local perspective for the approach improvement. The results could be applied to encourage other local municipalities in other emerging coastal cities.
C1 [Wijaya, Nurrohman; Nitivattananon, Vilas; Kim, Sohee Minsun] Asian Inst Technol, Sch Environm Resources & Dev, Urban Environm Management, POB 4, Klongluang 12120, Pathumthani, Thailand.
   [Wijaya, Nurrohman] Bandung Inst Technol, Sch Architecture Planning & Policy Dev, Urban & Reg Planning, Jl Ganesha 10, Bandung 40132, West Java, Indonesia.
   [Shrestha, Rajendra Prasad] Asian Inst Technol, Sch Environm Resources & Dev, Nat Resource Management, POB 4, Klongluang 12120, Pathumthani, Thailand.
C3 Asian Institute of Technology; Institute Technology of Bandung; Asian
   Institute of Technology
RP Wijaya, N (corresponding author), Asian Inst Technol, Sch Environm Resources & Dev, Urban Environm Management, POB 4, Klongluang 12120, Pathumthani, Thailand.; Wijaya, N (corresponding author), Bandung Inst Technol, Sch Architecture Planning & Policy Dev, Urban & Reg Planning, Jl Ganesha 10, Bandung 40132, West Java, Indonesia.
EM st113371@ait.ac.th; vilasn@ait.ac.th; rajendra@ait.ac.th; skim@ait.ac.th
RI Shrestha, Rajendra/AAC-1443-2019; Wijaya, Nurrohman/AAC-6482-2021; Kim,
   Sohee Minsun/C-5422-2016
OI , Vilas/0000-0002-3305-2793; Shrestha, Rajendra
   Prasad/0000-0002-1010-1994; Wijaya, Nurrohman/0000-0002-9797-7824; Kim,
   Sohee Minsun/0000-0003-2459-3253
FU Asian Institute of Technology Fellowship; International Climate
   Initiative [11_II_077_ASIEN_A_Coastal Cities]
FX This research was funded by the Asian Institute of Technology Fellowship
   and the International Climate Initiative (11_II_077_ASIEN_A_Coastal
   Cities).
CR ACCCRN, 2010, CIT RES STRAT SEM AD
   ACCCRN, 2010, VUNL AD ASS CLIM CHA
   Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z
   Agrawal A, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P350
   Agrawala Shardul., 2005, Bridge over Troubled Waters: Linking Climate Change and Development, P133
   [Anonymous], 2014, Environmental Policy Collection
   [Anonymous], 2009, THESIS FACULTY U GEO
   [Anonymous], 2009, INT CLIM CHANG AD DE
   [Anonymous], 2007, CLIMATE CHANGE 2007
   [Anonymous], J FOR LIVELIHOOD
   [Anonymous], 2015, WORLD URB PROSP 2014
   Araos M, 2016, ENVIRON SCI POLICY, V66, P375, DOI 10.1016/j.envsci.2016.06.009
   Ayers JM, 2014, WIRES CLIM CHANGE, V5, P37, DOI 10.1002/wcc.226
   Baker I, 2012, LANDSCAPE URBAN PLAN, V107, P127, DOI 10.1016/j.landurbplan.2012.05.009
   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
   Bulkeley H, 2013, ROUTL CRIT INTRO URB, P1
   Bulkeley H, 2010, ANNU REV ENV RESOUR, V35, P229, DOI 10.1146/annurev-environ-072809-101747
   Chu EK, 2018, URBAN STUD, V55, P1766, DOI 10.1177/0042098016686509
   CSA, 2018, SEM MUN FIG 2018
   CSA, 2018, BAND LAMP MUN FIG 20
   Cullis J, 2011, CLIMATIC CHANGE, V108, P437, DOI 10.1007/s10584-010-9891-9
   Dannevig H, 2013, ENVIRON PLANN C, V31, P490, DOI 10.1068/c1152
   Feldmeyer D, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102931
   Fuchs R, 2011, ENVIRON URBAN ASIA, V2, P13, DOI 10.1177/097542531000200103
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Harvatt J, 2011, J RISK RES, V14, P63, DOI 10.1080/13669877.2010.503935
   Hjerpe M, 2012, MITIG ADAPT STRAT GL, V17, P471, DOI 10.1007/s11027-011-9337-3
   Hulme M, 2010, GLOBAL ENVIRON CHANG, V20, P558, DOI 10.1016/j.gloenvcha.2010.07.005
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Huq S, 2004, CLIM POLICY, V4, P25
   ICCSR, 2009, IND CLIM CHANG SECT
   Ignatowski JA, 2013, CLIMATIC CHANGE, V121, P285, DOI 10.1007/s10584-013-0883-4
   Klein R.J.T., 2003, Climate change, Adaptive Capacity and Development, P317, DOI DOI 10.1142/9781860945816_0014
   Laukkonen J, 2009, HABITAT INT, V33, P287, DOI 10.1016/j.habitatint.2008.10.003
   Lebel Louis., 2012, Mainstreaming Climate Change Adaptation into Development Planning
   Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mercer J, 2010, DISASTERS, V34, P214, DOI 10.1111/j.1467-7717.2009.01126.x
   Mercy C., 2018, CLIM CHANG AD URB RE
   Nanna MJ, 1998, PSYCHOL METHODS, V3, P55, DOI 10.1037/1082-989X.3.1.55
   Oliver-Smith Anthony., 2009, Sea Level Rise and the Vulnerability of Coastal Peoples: Responding to the Local Challenges of Global Climate Change in the 21st Century
   Pasquini L, 2013, HABITAT INT, V40, P225, DOI 10.1016/j.habitatint.2013.05.003
   Persson Å, 2009, ROUTL ADV INT RELAT, P162
   Picketts IM, 2014, J ENVIRON PLANN MAN, V57, P984, DOI 10.1080/09640568.2013.776951
   Pilato G, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10010174
   RAN-API, 2013, NAT ACT PLAN CLIM CH
   Ranger N, 2011, CLIMATIC CHANGE, V104, P139, DOI 10.1007/s10584-010-9979-2
   Rauken T, 2015, LOCAL ENVIRON, V20, P408, DOI 10.1080/13549839.2014.880412
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Sarzynski A, 2015, URBAN CLIM, V14, P52, DOI 10.1016/j.uclim.2015.08.002
   Sherman M, 2016, WIRES CLIM CHANGE, V7, P707, DOI 10.1002/wcc.416
   Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966
   Tyler S, 2016, ENVIRON SCI POLICY, V66, P420, DOI 10.1016/j.envsci.2016.08.004
   UNDP UNEP, 2011, MAINSTR CLIM CHANG A
   United Nations (UN)-HABITAT, 2009, CIT CLIM CHANG IN LA
   Wijaya N, 2015, J REG CITY PLAN, V26, P28, DOI 10.5614/jpwk.2015.26.1.4
   Wijaya N, 2017, DISAST RISK REDUCT, P235, DOI 10.1007/978-3-319-54466-3_9
NR 58
TC 15
Z9 15
U1 3
U2 15
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
J9 SUSTAINABILITY-BASEL
JI Sustainability
PD JAN 2
PY 2020
VL 12
IS 2
AR 750
DI 10.3390/su12020750
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 KQ3KE
UT WOS:000516824600307
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Chu, E
   Anguelovski, I
   Carmin, J
AF Chu, Eric
   Anguelovski, Isabelle
   Carmin, JoAnn
TI Inclusive approaches to urban climate adaptation planning and
   implementation in the Global South
SO CLIMATE POLICY
LA English
DT Article
DE participation; urban planning; climate adaptation; civil society;
   justice; inclusion
ID COMMUNITY-BASED ADAPTATION; DISASTER RISK REDUCTION; DEVELOPMENT
   OBJECTIVES; JUSTICE; CITIES; RESILIENCE; VULNERABILITY; EXPERIENCES;
   LESSONS; DURBAN
AB As cities increasingly engage in climate adaptation planning, many are seeking to promote public participation and facilitate the engagement of different civil society actors. Still, the variations that exist among participatory approaches and the merits and tradeoffs associated with each are not well understood. This article examines the experiences of Quito (Ecuador) and Surat (India) to assess how civil society actors contribute to adaptation planning and implementation. The results showcase two distinct approaches to public engagement. The first emphasizes participation of experts, affected communities, and a wide array of citizens to sustain broadly inclusive programmes that incorporate local needs and concerns into adaptation processes and outcomes. The second approach focuses on building targeted partnerships between key government, private, and civil society actors to institutionalize robust decision-making structures, enhance abilities to raise funds, and increase means to directly engage with local community and international actors. A critical analysis of these approaches suggests more inclusive planning processes correspond to higher climate equity and justice outcomes in the short term, but the results also indicate that an emphasis on building dedicated multi-sector governance institutions may enhance long-term programme stability, while ensuring that diverse civil society actors have an ongoing voice in climate adaptation planning and implementation.
   Policy relevance
   Many local governments in the Global South experience severe capacity and resource constraints. Cities are often required to devolve large-scale planning and decision-making responsibilities, such as those critical to climate adaptation, to different civil society actors. As a result, there needs to be more rigorous assessments of how civil society participation contributes to the adaptation policy and planning process and what local social, political, and economic factors dictate the way cities select different approaches to public engagement. Also, since social equity and justice are key indicators for determining the effectiveness and sustainability of adaptation interventions, urban adaptation plans and policies must also be designed according to local institutional strengths and civic capacities in order to account for the needs of the poor and most vulnerable. Inclusivity, therefore, is critical for ensuring equitable planning processes and just adaptation outcomes.
C1 [Chu, Eric; Carmin, JoAnn] MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
   [Anguelovski, Isabelle] Univ Autonoma Barcelona, Inst Environm Sci & Technol, E-08193 Barcelona, Spain.
C3 Massachusetts Institute of Technology (MIT); Autonomous University of
   Barcelona
RP Chu, E (corresponding author), MIT, Dept Urban Studies & Planning, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
EM ekc@mit.edu
RI Chu, Eric/O-6464-2015
OI Chu, Eric/0000-0002-5648-6615; Anguelovski, Isabelle/0000-0002-6409-5155
FU United States National Science Foundation [0926349]; United States
   National Security Education Program; Div Of Civil, Mechanical, &
   Manufact Inn; Directorate For Engineering [0926349] Funding Source:
   National Science Foundation
FX Fieldwork for the Quito case was initially support by the World Bank.
   Funding for the Surat case was provided by the United States National
   Security Education Program. Additional funds for follow-up field
   research and data analysis were provided by the United States National
   Science Foundation (grant no. 0926349).
CR ACCCRN, 2011, SUR CIT RES STRAT
   ACCCRN, 2013, AUTH GUID, P56
   Anguelovski I, 2011, CURR OPIN ENV SUST, V3, P169, DOI 10.1016/j.cosust.2010.12.017
   Anguelovski I, 2014, GLOBAL ENVIRON CHANG, V27, P156, DOI 10.1016/j.gloenvcha.2014.05.010
   Anguelovski Isabelle., 2011, icinde, Environmental Inequalities Beyond Borders: Local Perspectives on Global Injustices s, P19
   [Anonymous], 2014, CLIM POL, DOI DOI 10.1080/14693062.2014.937388
   [Anonymous], 2009, IDS B
   [Anonymous], IDS B
   Archer D, 2014, CLIM DEV, V6, P345, DOI 10.1080/17565529.2014.918868
   Ayers J, 2010, PROG DEV STUD, V10, P161, DOI 10.1177/146499340901000205
   Ayers J, 2009, ENVIRON URBAN, V21, P225, DOI 10.1177/0956247809103021
   Ayers J, 2009, ENVIRONMENT, V51, P22, DOI 10.3200/ENV.51.4.22-31
   Aylett A, 2010, ENVIRON PLANN A, V42, P99, DOI 10.1068/a4274
   Barrett S, 2013, GLOBAL ENVIRON CHANG, V23, P1819, DOI 10.1016/j.gloenvcha.2013.07.015
   Barrett S, 2013, PROG HUM GEOG, V37, P215, DOI 10.1177/0309132512448270
   Bernauer T, 2013, GLOBAL ENVIRON CHANG, V23, P439, DOI 10.1016/j.gloenvcha.2013.01.001
   Bhat GK, 2013, ENVIRON URBAN, V25, P429, DOI 10.1177/0956247813495002
   Bicknell J., 2009, ADAPTING CITIES CLIM, P397
   Bowen KJ, 2015, CURR OPIN ENV SUST, V12, P80, DOI 10.1016/j.cosust.2014.12.001
   Briggs X. de S., 2008, DEMOCRACY PROBLEM SO, P388
   Broto VC, 2013, GLOBAL ENVIRON CHANG, V23, P92, DOI 10.1016/j.gloenvcha.2012.07.005
   Brown A, 2012, ENVIRON URBAN, V24, P531, DOI 10.1177/0956247812456490
   Bulkeley H, 2013, LOCAL ENVIRON, V18, P646, DOI 10.1080/13549839.2013.788479
   Bulkeley H, 2013, GLOBAL ENVIRON CHANG, V23, P914, DOI 10.1016/j.gloenvcha.2013.05.010
   Bulkeley H, 2013, T I BRIT GEOGR, V38, P361, DOI 10.1111/j.1475-5661.2012.00535.x
   Bulkeley H, 2012, ENVIRON PLANN C, V30, P591, DOI 10.1068/c11126
   Burch S, 2010, GLOBAL ENVIRON CHANG, V20, P287, DOI 10.1016/j.gloenvcha.2009.11.009
   Carmin J., 2013, Successful Adaptation to Climate Change: Linking Science and Policy in a Rapidly Changing World, P220
   Carmin J., 2013, OECD Regional Development Working Papers, DOI DOI 10.1787/5K3TTG88W8HH-EN
   Carmin J, 2012, J PLAN EDUC RES, V32, P18, DOI 10.1177/0739456X11430951
   Ciplet D, 2013, GLOBAL ENVIRON POLIT, V13, P49, DOI 10.1162/GLEP_a_00153
   Corburn J., 2005, STREET SCI COMMUNITY, P281
   de Oliveira JAP, 2013, J CLEAN PROD, V58, P7, DOI 10.1016/j.jclepro.2013.08.009
   Dovers SR, 2010, WIRES CLIM CHANGE, V1, P212, DOI 10.1002/wcc.29
   Dutt Ashok K., 2006, Southeast Asian Journal of Tropical Medicine and Public Health, V37, P755
   Ensor J, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P227
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Fainstein S. S., 2010, JUST CITY, P224
   Few R, 2007, CLIM POLICY, V7, P46, DOI 10.1080/14693062.2007.9685637
   Finan TJ, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P335
   Forsyth T, 2013, WIRES CLIM CHANGE, V4, P439, DOI 10.1002/wcc.231
   Friend R, 2013, URBAN CLIM, V6, P98, DOI 10.1016/j.uclim.2013.09.002
   Fünfgeld H, 2015, CURR OPIN ENV SUST, V12, P67, DOI 10.1016/j.cosust.2014.10.011
   Fung A, 2006, PUBLIC ADMIN REV, V66, P66, DOI 10.1111/j.1540-6210.2006.00667.x
   Hamin EM, 2014, J AM PLANN ASSOC, V80, P110, DOI 10.1080/01944363.2014.949590
   Harris PG, 2010, ENVIRON POLIT, V19, P617, DOI 10.1080/09644016.2010.489716
   Heltberg R, 2012, CLIM POLICY, V12, P143, DOI 10.1080/14693062.2011.582344
   Hughes S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05929-180448
   Hunt A, 2011, CLIMATIC CHANGE, V104, P13, DOI 10.1007/s10584-010-9975-6
   Huq S, 2007, ENVIRON URBAN, V19, P3, DOI 10.1177/0956247807078058
   Jerneck A, 2008, CLIM POLICY, V8, P170, DOI 10.3763/cpol.2007.0434
   Karanth A, 2014, DEV PRACT, V24, P514, DOI 10.1080/09614524.2014.911246
   Kern K, 2009, JCMS-J COMMON MARK S, V47, P309, DOI 10.1111/j.1468-5965.2009.00806.x
   Kernaghan S, 2014, URBAN CLIM, V7, P47, DOI 10.1016/j.uclim.2013.10.008
   Klinsky S, 2009, CLIM POLICY, V9, P88, DOI 10.3763/cpol.2007.0468
   Lee T, 2013, GLOBAL ENVIRON POLIT, V13, P108, DOI 10.1162/GLEP_a_00156
   Magee T., 2013, FIELD GUIDE COMMUNIT, P232
   McEvoy D, 2013, PLAN PRACT RES, V28, P280, DOI 10.1080/02697459.2013.787710
   Mercer J, 2010, J INT DEV, V22, P247, DOI 10.1002/jid.1677
   Metz B, 2008, CLIM POLICY, V8, P99, DOI 10.3763/cpol.2008.0523
   Paavola J, 2006, ECOL ECON, V56, P594, DOI 10.1016/j.ecolecon.2005.03.015
   Paavola J, 2008, ENVIRON POLIT, V17, P644, DOI 10.1080/09644010802193609
   Parks BC, 2010, THEOR CULT SOC, V27, P134, DOI 10.1177/0263276409359018
   Pasquini L, 2014, J ENVIRON DEV, V23, P271, DOI 10.1177/1070496514525406
   Pringle P, 2012, CLIM DEV, V4, P104, DOI 10.1080/17565529.2012.707608
   Roberts D, 2013, ENVIRON URBAN, V25, P299, DOI 10.1177/0956247813500904
   Roberts D, 2012, ENVIRON URBAN, V24, P167, DOI 10.1177/0956247811431412
   Roberts JT, 2009, ENVIRON JUSTICE, V2, P185, DOI 10.1089/env.2009.0029
   Roy G R, 2011, INT J GOVERNANCE, V1, P618
   Ruth M, 2007, CLIM POLICY, V7, P317, DOI 10.1080/14693062.2007.9685659
   Sanchez-Rodriguez R, 2009, CURR OPIN ENV SUST, V1, P201, DOI 10.1016/j.cosust.2009.10.005
   Schlosberg D, 2012, ETHICS INT AFF, V26, P445, DOI 10.1017/S0892679412000615
   Shah G, 1997, ECON POLIT WEEKLY, V32, P607
   Sharma D., 2013, URBAN CLIMATE RESILI, P71
   Sharma D, 2010, ENVIRON URBAN, V22, P451, DOI 10.1177/0956247810377390
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Sivaramakrishnan K. C., 2011, REVISIONING INDIAN C, P278
   Solecki W, 2011, CURR OPIN ENV SUST, V3, P135, DOI 10.1016/j.cosust.2011.03.001
   Uittenbroek CJ, 2013, REG ENVIRON CHANGE, V13, P399, DOI 10.1007/s10113-012-0348-8
   van den Berg M, 2012, LOCAL ENVIRON, V17, P441, DOI 10.1080/13549839.2012.678313
   Wilbanks TJ, 2003, CLIM POLICY, V3, pS147, DOI 10.1016/j.clipol.2003.10.013
   Young I M., 2000, Inclusion and Democracy, P304
NR 82
TC 150
Z9 159
U1 5
U2 142
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 APR 2
PY 2016
VL 16
IS 3
BP 372
EP 392
DI 10.1080/14693062.2015.1019822
PG 21
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA DJ0PW
UT WOS:000373907500007
OA Green Published
DA 2025-01-10
ER

PT J
AU Mabon, L
   Sato, M
   Mabon, N
AF Mabon, Leslie
   Sato, Manami
   Mabon, Naoko
TI Urban shrinkage as a catalyst for transformative adaptation
SO BUILDINGS & CITIES
LA English
DT Article
DE cities; climate adaptation; environmental discourses; resilience;
   shrinking cities; transformative adaptation; urban climate action; urban
   planning; Japan
ID PLACE ATTACHMENT; CLIMATE-CHANGE; TRANSITIONS; RESILIENCE; PROJECTS
AB Transformative climate adaptation is argued to reduce underlying vulnerability whilst adapting to impacts. However, transformative actions may face resistance in postindustrial shrinking city contexts. Resources to act may be limited and social, cultural and economic links to high-emitting industries make conversations on climate action difficult. This paper assesses how transformative adaptation may be initiated in a post -industrial shrinking city, by evaluating the former coal mining city of Yubari in Hokkaido, Japan. Interviews with organisations and a residents' discussion group assess how citizens of Yubari experience social and environmental changes. A review of policies that support transformative adaptation in Yubari is undertaken. Although strong ties to Yubari's mining identity have constrained discussion on climate action, the need to physically shrink the city's size and engage third-sector organisations beyond local government created opportunities for transformative actions that also support adaptation. The findings support the existing shrinking cities literature. Place attachment can energise residents to take action and defend their locality against the worst effects of urban shrinkage. This highlights the value of intermediary organisations outside local government in initiating discussions on transformative actions towards climate adaptation.
C1 [Mabon, Leslie] Open Univ, Sch Engn & Innovat, Walton Hall, Milton Keynes MK7 6AA, England.
   [Sato, Manami] Shimizusawa Project, Yubari, Japan.
   [Mabon, Naoko] WAGON, Oban, Scotland.
C3 Open University - UK
RP Mabon, L (corresponding author), Open Univ, Sch Engn & Innovat, Walton Hall, Milton Keynes MK7 6AA, England.
EM leslie.mabon@open.ac.uk
RI Mabon, Leslie/JDW-8621-2023
OI Mabon, Leslie/0000-0003-2646-6119
FU British Academy [JTAP210030]; UKRI [ES/W000172/1]
FX The research on which this paper is based was in part supported by
   funding Leslie Mabon received from the British Academy (JTAP210030) and
   UKRI (ES/W000172/1) .
CR Berglund L, 2020, J URBAN AFF, V42, P390, DOI 10.1080/07352166.2018.1454819
   Carr ER, 2019, WORLD DEV, V122, P70, DOI 10.1016/j.worlddev.2019.05.011
   Carter JG, 2018, CITIES, V77, P73, DOI 10.1016/j.cities.2018.01.014
   Cho JY, 2014, QUAL REP, V19
   Clarke D, 2018, J ENVIRON PSYCHOL, V55, P81, DOI 10.1016/j.jenvp.2017.12.006
   Colloff MJ, 2017, ENVIRON SCI POLICY, V68, P87, DOI 10.1016/j.envsci.2016.11.007
   Coppola A, 2019, URBAN GEOGR, V40, P237, DOI 10.1080/02723638.2017.1421391
   Davoudi S, 2013, PLAN PRACT RES, V28, P307, DOI 10.1080/02697459.2013.787695
   Eraydin A, 2021, CITIES, V115, DOI 10.1016/j.cities.2021.103226
   Fedele G, 2019, ENVIRON SCI POLICY, V101, P116, DOI 10.1016/j.envsci.2019.07.001
   Few R, 2017, PALGR COMMUN, V3, DOI 10.1057/palcomms.2017.92
   Hokkaido Prefectural Government, 2020, Hokkaido Climate Change Adaptation Plan
   Kiko Network, 2021, Just transition: Creating new jobs for a decarbonized society
   Filho WL, 2022, MITIG ADAPT STRAT GL, V27, DOI 10.1007/s11027-022-09997-2
   Mabon L, 2018, J ENVIRON POL PLAN, V20, P482, DOI 10.1080/1523908X.2018.1443004
   Milnes Travis., 2017, Environmental Sociology, V3, P260, DOI DOI 10.1080/23251042.2017.1295837
   Mulligan H, 2021, Handbook on shrinking cities, P292
   Novalia W, 2020, ENVIRON SCI POLICY, V112, P361, DOI 10.1016/j.envsci.2020.07.009
   Pineda A, 2023, URBAN DES INT, V28, P103, DOI 10.1057/s41289-022-00183-z
   Rave T, 2014, REG CITIES, V71, P311
   Revi A, 2014, ENVIRON URBAN, V26, P11, DOI 10.1177/0956247814523539
   Sato M, 2022, Just transition
   Setoguchi T., 2016, Journal of Architecture and Planning, V81, P899, DOI [10.3130/aija.81.899, DOI 10.3130/AIJA.81.899]
   Solecki W, 2021, ANNU REV PUBL HEALTH, V42, P211, DOI 10.1146/annurev-publhealth-090419-102302
   Takao Y, 2020, ENERGY RES SOC SCI, V69, DOI 10.1016/j.erss.2020.101708
   Trencher G, 2019, ENERGY RES SOC SCI, V49, P209, DOI 10.1016/j.erss.2018.10.019
   Walker BH, 2020, ECOL SOC, V25, DOI 10.5751/ES-11647-250211
   Yin R. K., 2013, Case study research: Design and methods, V5, DOI DOI 10.1097/FCH.0B013E31822DDA9E
   Yubari City, 2023, Administrative Standing Committee Report
   Yubari City, 2021, Yubari City Urban Planning Masterplan
   Yubari City, 2023, Yubari City Regional Disaster Prevention Plan
   Yubari City, 2021, Presentation of a letter of appreciation
   Yubari City, 2023, Yubari City: Zero Carbon City Declaration
NR 33
TC 1
Z9 1
U1 4
U2 6
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 50
EP 63
DI 10.5334/bc.395
PG 14
WC Construction & Building Technology
WE Emerging Sources Citation Index (ESCI)
SC Construction & Building Technology
GA OO0F9
UT WOS:001208091000008
OA gold
DA 2025-01-10
ER

PT C
AU Di, YH
   Wang, SC
   Wang, YH
AF Di, Y. H.
   Wang, S. C.
   Wang, Y. H.
BE Zhang, X
   Li, Z
   Gao, N
   Zhou, X
TI CLIMATE ADAPTABILITY DIVISION FOR APPLICATION OF EVAPORATIVE COOLING
   AIR-CONDITIONING
SO 7TH INTERNATIONAL SYMPOSIUM ON HEATING, VENTILATING AND AIR
   CONDITIONING, PROCEEDINGS OF ISHVAC 2011, VOLS I-IV
LA English
DT Proceedings Paper
CT 7TH International Symposium on Heating, Ventilating and Air
   Conditioning, ISHVAC 2011
CY NOV 06-09, 2011
CL Shanghai, PEOPLES R CHINA
SP TONGJI UNIV, Tsinghua Univ, Univ Hong Kong
DE Evaporative cooling; Climate adaptability; Division; Air conditioning;
   Geographic information system
AB The application of evaporative cooling air-conditioning depends on regional climate. In view of our country's regional climatic characteristics, the climate division was proposed to study the adaptability of the evaporative cooling technology in different areas, depending on this to choose different high-efficiency and energy-saving air-conditioning systems. The main climatic element influencing the evaporative cooling efficiency, wet-bulb temperature, was selected as the first-degree district indices, to divide cities covering nationwide scale into four application regions. The divisions were visualized by using the geographic information system software; the results were clearly displayed on the map.
C1 [Di, Y. H.; Wang, S. C.; Wang, Y. H.] Xian Polythchn Univ, Inst Environm & Chem Engn, Xian 710048, Peoples R China.
C3 Xi'an Polytechnic University
RP Di, YH (corresponding author), Xian Polythchn Univ, Inst Environm & Chem Engn, Xian 710048, Peoples R China.
EM yuhuidi@yahoo.com.cn
RI Hui, Yu/AAV-3443-2020
CR [Anonymous], 2005, THERMAL ENV ANAL CHI
   Di Yuhui, 2008, THESIS
   Lang Siwei, 2002, J HV AC, V32
   Liu Jiaping, 2007, STUDY BASIC SCI BUIL
   Lu Yajun, 1982, HVAC, V12, P37
   Shengyuan Tian, 1988, P HVAC CHIN
   Wu Lun, 2001, PRINCIPLES GEOGRAPHI
   Xie Rong, 1998, APPL COMPUTER SYSTEM, V4, P58
   Yang L. H., 2003, THESIS
   Zhang Qingyuan, 2004, CHINAS CONSTRUCTION
NR 10
TC 1
Z9 1
U1 1
U2 4
PU TONGJI UNIV PRESS
PI SHANGHAI
PA EDITORIAL BOARD 1239 SIPING RD, SHANGHAI, PEOPLES R CHINA
BN 978-962-85138-0-2
PY 2011
BP 522
EP 527
PG 6
WC Construction & Building Technology
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Construction & Building Technology
GA BH0EE
UT WOS:000394721200084
DA 2025-01-10
ER

PT J
AU Martini, C
AF Martini, Camille
TI From Fact to Applicable Law: What Role for the International Climate
   Change Regime in Investor-State Arbitration?
SO CANADIAN YEARBOOK OF INTERNATIONAL LAW
LA English
DT Article; Early Access
DE Investor-state dispute settlement; climate change; Paris Agreement;
   systemic integration; applicable law; Reglement des differends entre
   investisseurs et etats; changement climatique; Accord de Paris;
   integration systemique; droit applicable
AB While many investor-state dispute settlement (ISDS) proceedings based on international investment agreements have dealt, directly or incidentally, with environmental issues, state measures relating to the mitigation and adaptation to climate change have been subject to a small number of reported cases. This article demonstrates that there is a significant gap between the number of investor-state disputes having a direct relevance with climate change, on the one hand, and the number of such cases that have actually raised climate change as a material legal or factual issue. In addition, arbitral tribunals faced with disputes related to measures or sectors that are of direct relevance to climate action have, to date, virtually never engaged in any sort of substantial analysis of international climate change treaties and related instruments, rules, or practices. Against this backdrop, this article will explore ways for arbitrators and parties to ISDS proceedings to better consider the climate regime - in particular, the Paris Agreement and instruments arising therefrom - in ISDS proceedings beyond its current limited role as an element of context. While the literature has mostly focused on integrating climate change concerns in ISDS, this article goes further by exploring how states' international climate obligations could play a greater role in the adjudication of investor-state disputes, including by providing states with a justification for implementing more ambitious regulations as well as tribunals with guidance for interpreting substantive obligations in investment treaties.
   A la difference des questions environnementales, relativement peu de procedures de reglement des differends entre investisseurs et etats (RDIE) fondes sur des traites internationaux d'investissement ont porte, directement ou incidemment, sur les mesures prises par les etats pour attenuer les changements climatiques et s'adapter a leurs effets nefastes. Cet article demontre qu'il existe un ecart important entre le nombre de differends investisseur-etat ayant un rapport direct avec le changement climatique, d'une part, et le nombre de procedures qui ont effectivement souleve les changements climatiques en tant que question materielle de fait ou de droit, d'autre part. En outre, les tribunaux arbitraux confrontes a des litiges portant sur des mesures ou relatifs a des secteurs ayant un rapport direct avec l'action climatique n'ont, du moins publiquement, jamais procede a ce jour a une analyse substantielle des traites internationaux sur les changements climatiques ou instruments, regles ou pratiques s'y rapportant. Dans ce contexte, l'article explore les fondements juridiques par lesquels les arbitres et les parties pourraient mieux prendre en compte le regime international du climat, en particulier l'Accord de Paris et les mecanismes juridiques qu'il genere, dans les procedures de RDIE, au-dela de son role actuel reduit a un element de contexte. Alors que la litterature s'est surtout concentree sur l'integration des preoccupations liees aux changements climatiques dans l'arbitrage d'investissement, la presente contribution va plus loin en explorant comment les obligations internationales des etats en matiere de changements climatiques pourraient jouer un role plus important dans le reglement des differends entre investisseurs et etats, notamment en fournissant a ces derniers une justification pour la mise en oe uvre de reglementations plus ambitieuses, ainsi qu'aux tribunaux des orientations pour l'interpretation des obligations contenues dans les traites d'investissement.
C1 [Martini, Camille] Laval Univ, Fac Law, Quebec City, PQ, Canada.
   [Martini, Camille] Aix Marseille Univ, Fac Law & Polit Sci, Marseille, France.
C3 Laval University; Aix-Marseille Universite
RP Martini, C (corresponding author), Laval Univ, Fac Law, Quebec City, PQ, Canada.; Martini, C (corresponding author), Aix Marseille Univ, Fac Law & Polit Sci, Marseille, France.
EM camille.martini.1@ulaval.ca
FU French National Research Agency [ANR-21-CE03-0011-01]; French Institute
   for Studies and Research on Law and Justice on the judicial treatment of
   the environmental emergency [23.28]; Canada's Social Sciences and
   Humanities Research Council [202211CGV-492947-404114]; Fonds de
   recherche du Quebec - Nature et technologies as 2023-24 laureate of the
   Real-Decoste-Ouranos Excellence Scholarship on Climate; French Agency
   for Ecological Transition; Agence Nationale de la Recherche (ANR)
   [ANR-21-CE03-0011] Funding Source: Agence Nationale de la Recherche
   (ANR)
FX The author received the 2023 Jacques-Yvan Morin Essay Competition Award
   from the Societe quebecoise de droit international (SQDI) and the
   Platinum Award of the 2023 Climate Law and Governance Student Essay
   Competition for an earlier version of this article, awarded by the
   Climate Law and Governance Initiative on 5 December 2023 during the
   twenty-eighth Conference of the Parties to the United Nations Framework
   Convention on Climate Change in Dubai. He is a member of the French
   National Research Agency's interdisciplinary project PROCLIMEX on
   climate litigation (no ANR-21-CE03-0011-01) and a research project of
   the French Institute for Studies and Research on Law and Justice on the
   judicial treatment of the environmental emergency (no 23.28). He
   acknowledges funding support from Canada's Social Sciences and
   Humanities Research Council (Vanier no 202211CGV-492947-404114), the
   Fonds de recherche du Quebec - Nature et technologies as 2023-24
   laureate of the Real-Decoste-Ouranos Excellence Scholarship on Climate,
   and the French Agency for Ecological Transition. The author is grateful
   to participants at the Climate Regime and Public International Law
   PhD/Early Career Researcher Workshop, held on 12-13 December 2022 at the
   Lauterpacht Centre for International Law at the University of Cambridge
   and at the fifty-second Annual Conference of the Canadian Council of
   International Law, held in Ottawa on 2-3 November 2023. The author is
   particularly grateful to Jacqueline Peel, Campbell McLachlan KC, Markus
   Gehring, Margaret A Young, and two anonymous reviewers for their
   insightful comments. The views expressed by the author remain his own.
CR Alschner Wolfgang, 2022, Investment Arbitration and State-Driven Reform: New Treaties, Old Outcomes
   [Anonymous], 2020, Cavalum SGPS, SA v Kingdom of Spain
   [Anonymous], 2005, Methanex v United States of America
   [Anonymous], 2019, RWE Innogy GmbH and RWE Innogy Aersa S A U v Kingdom of Spain
   [Anonymous], 2020, KOCH IND INC KOCH SU
   [Anonymous], 2019, OperaFund Eco-Invest SICAV PLC and Schwab Holding AG v Kingdom of SpainICSID CaseNoARB/15/36), Award
   [Anonymous], 2022, Respondent's Counter-Memorial
   [Anonymous], 2018, Masdar Solar & Wind Cooperatief U.A. v. Kingdom of Spain, ICSIDCaseNo.ARB/14/1,
   [Anonymous], 2021, Eco Oro Minerals Corp v The Republic of Colombia
   [Anonymous], 1996, Agreement between the Government of Canada and the Government of Barbados for the Reciprocal Promotion and Protection of Investment
   [Anonymous], 2019, INFRARED ENV INFRAST
   [Anonymous], 1999, Biedermann International, Inc v Republic of Kazakhstan and the Association for Social and Economic Development of Western Kazakhstan 'Intercaspian'
   [Anonymous], 1947, GEN AGREEMENT TARIFF
   [Anonymous], 2016, Paris agreement
   [Anonymous], 2023, DocFCCC/PA/CMA/2023/L.17
   [Anonymous], 2021, UNIPER SE UNIPER BEN
   [Anonymous], 2005, Act on the Promotion of Electricity Production from Renewable Energy Sources and Amending Certain Acts
   [Anonymous], 2020, Eskosol v Italian Republic
   [Anonymous], 1971, Convention on Wetlands of International Importance Especially as Waterfowl Habitat (The Ramsar Convention on Wetlands)
   [Anonymous], 1992, UN FRAMEWORK CONVENT
   [Anonymous], 1998, Protocol to the 1979 Convention on Long-Range Transboundary Air Pollution on Persistent OrganicPollutants
   [Anonymous], 1992, CONVENTION BIOLOGICA
   [Anonymous], 2018, RREEF Infrastructure (GP) Limited and RREEF Pan-European Infrastructure Two Lux Sa rl v Kingdom of Spain
   [Anonymous], 2013, Ioan Micula, Viorel Micula, SC European Food SA, SC Starmill SRL and SC Multipack SRL v Romania [I]
   [Anonymous], 2022, Green Power K/S and SCE Solar Don Benito APS v Kingdom of Spain
   [Anonymous], 2014, Gold Reserve Inc. v. Bolivarian Republic of Venezuela, ICSID Case No. ARB(AF)/09/01
   [Anonymous], 2021, Eurus Energy Holdings Corporation and Eurus Energy Europe BV v Kingdom of Spain
   [Anonymous], 2020, Prairie Mining Limited v Republic of Poland
   [Anonymous], 2020, Westmoreland Coal Company v Government of Canada
   [Anonymous], 2023, Ascent Resources Plc and Ascent Slovenia Ltd vRepublic of Slovenia
   [Anonymous], 2020, AES Solar and Others (PV Investors) v Kingdom of Spain
   [Anonymous], 2022, Towra SA-SPF v Republic of Slovenia
   [Anonymous], 1969, Vienna Convention on the Law of Treaties
   [Anonymous], 2020, Watkins Holdings Sarl and Others v Kingdom of Spain
   [Anonymous], 2019, Belenergia SA v Italian Republic
   [Anonymous], 2003, FRAMEWORK CONVENTION
   [Anonymous], 2022, Impact of the Covid-19 Pandemic on Trade and Development, P1
   [Anonymous], 1990, Agreement between the Government of the United Kingdom of Great Britain and Northern Ireland and the Government of the Republic of Argentina for the Promotion and Protection of Investments
   [Anonymous], 1992, RIO DECL ENV DEV
   [Anonymous], 2021, Mathias Kruck, Frank Schumm, Joachim Kruck, Jurgen Reiss and others v Kingdom of Spain
   [Anonymous], 2023, Alberta Petroleum Marketing Commission v United States of America
   [Anonymous], 2022, MOL Hungarian Oil and Gas Company Plc v Republic of Croatia
   [Anonymous], 2022, Triodos SICAV II v Kingdom of Spain
   [Anonymous], 2022, Louis Claude Norland Suzor and SBEC Systems Limited v Republic of Senegal
   [Anonymous], 2022, Clara Petroleum Ltd v Romania
   [Anonymous], 2021, FREIF Eurowind Holdings Ltd v Kingdom of Spain
   [Anonymous], 1997, KYOTO PROTOCOL UN FR
   [Anonymous], 2019, NextEra Energy Global Holdings BV and NextEra Energy Spain Holdings BV v Kingdom of Spain
   [Anonymous], 2021, SILVER RIDGE POWER B
   [Anonymous], 2016, Crystallex International Corporation v Bolivarian Republic of Venezuela, ICSID Case No ARB(AF)/11/2
   [Anonymous], 2018, Foresight Luxembourg Solar 1 SARL, Foresight Luxembourg Solar 2 SARL, Greentech Energy Systems A/S, GWM Renewable Energy I SPA, GWM Renewable Energy II SPA v Kingdom of Spain
   [Anonymous], 1989, Biloune v Ghana Investment Centre and the Government of Ghana
   [Anonymous], 1909, Agreement between the Federal Republic of Germany and the Czech and Slovak Federal Republic on the Promotion and Reciprocal Protection of Investments
   [Anonymous], 2008, WINTERSHALL AKTIENGE
   [Anonymous], 2019, CEF Energia v Italian Republic
   [Anonymous], 2016, Isolux v Spain
   [Anonymous], 1995, SAAR PAPIER VERTRIEB
   [Anonymous], 2020, SUNRESERVE LUXCO HOL
   [Anonymous], 2023, Ruby River Capital LLC v Government of Canada
   [Anonymous], 2008, Free Trade Agreement Between the Government of the People's Republic of China and the Government of the Republic of Chile
   [Anonymous], 2016, Peter A Allard v Government of Barbados
   [Anonymous], 2017, Natland Investment Group NV, Natland Group Limited, GIHG Limited, and Radiance Energy Holding SARL v Czech Republic
   [Anonymous], 2022, RWE AG RWE EEMSHAVEN
   [Anonymous], 2006, Saluka Investments BV v The Czech Republic
   [Anonymous], 2018, Infrastructure Services Luxembourg Sarl and Energia Termosolar BV (formerly Antin Infrastructure Services Luxembourg Sarl and Antin Energia Termosolar BV) v Kingdom of Spain
   [Anonymous], 2017, TransCanada Corporation and TransCanada PipeLines Limited v United States of America
   [Anonymous], 2009, Agreement between the Belgium-Luxembourg Economic Union, and the republic of Tajikistan, on the reciprocal promotion and protection of investments
   [Anonymous], 2020, STEAG GMBH KINGDOM S
   [Anonymous], 2022, WESTMORELAND COAL CO
   [Anonymous], 2021, Infracapital F1 Sarl and Infracapital Solar BV v Kingdom of Spain
   [Anonymous], 2022, Sevilla Beheer BV and Others v Kingdom of Spain
   [Anonymous], 2014, Hesham TM Al Warraq v Republic of Indonesia
   [Anonymous], 2018, Greentech Energy Systems A/S, et al v Italian Republic
   [Anonymous], 2012, Marion Unglaube and Reinhard Unglaube v Republic of Costa Rica
   [Anonymous], 2023, Korea National Oil Corporation, KNOC Nigerian West Oil Company Limited, and KNOC Nigerian East Oil Company Limited v Federal Republic of Nigeria
   [Anonymous], 2012, SAUR International SA v Republic of Argentina
   [Anonymous], 2019, 9REN Holding v Spain
   [Anonymous], 2009, Vattenfall AB and Others v Federal Republic of Germany
   [Anonymous], 2011, Alps Finance and Trade AG v Slovak Republic
   [Anonymous], 2019, STADTWERKE MUNCHEN G
   [Anonymous], 2007, Siemens AG v Argentine Republic
   [Anonymous], 2020, Hydro Energy 1 Sarl and Hydroxana Sweden AB v Kingdom of Spain
   [Anonymous], 2021, TC Energy Corporation and TransCanada Pipelines Limited v USA (II), ICSID Case NoARB/21/63, Request for Arbitration
   [Anonymous], 2004, The Dominican Republic--Central America--United States Free Trade Agreement
   [Anonymous], 2018, Investment Dispute Settlement Navigator
   [Anonymous], 2017, Michael Ballantine and Lisa Ballantine v Dominican Republic
   [Anonymous], 2014, Guaracachi America, Inc and Rurelec PLC v Plurinational State of Bolivia
   [Anonymous], 2021, RWE AG RWE EEMSHAVEN
   [Anonymous], 1994, Energy Charter Treaty (ECT)
   [Anonymous], 2022, ROCKHOPPER ITALIA SP
   [Anonymous], 2016, Philip Morris Brands Sarl, Philip Morris Products SA and Abal Hermanos SA v Oriental Republic of Uruguay
   [Anonymous], 2018, ANTARIS SOLAR GMBH D
   [Anonymous], 2021, Partial Dissent of Professor Philippe Sands KC
   [Anonymous], 2011, IMPREGILO SPA ARGENT
   [Anonymous], 2018, VATTENFALL AB OTHERS
   [Anonymous], 2017, Bear Creek Mining Corporation v Republic of Peru
   [Anonymous], 2019, BayWa re Renewable Energy GmbH and BayWa re Asset Holding GmbH v Kingdom of Spain
   [Anonymous], 2023, Zenith Energy Africa Ltd, Zenith Overseas Assets Ltd and Compagnie du Desert Ltd v Republic of Tunisia
   [Anonymous], 1965, CONVENTION SETTLEMEN
   [Anonymous], 2010, Chemtura v. Canada
   [Anonymous], 2021, Discovery Global LLC v Slovak Republic
   [Anonymous], 2022, Lone Pine v Government of Canada
   [Anonymous], 2022, LSG Building Solutions GmbH and others v Romania
   [Anonymous], 2020, ESPF Beteiligungs GmbH, ESPF Nr. 2 Austria Beteiligungs GmbH, and InfraClass Energie 5 GmbH Sc Co KG v Italian Republic
   Blusun SA, 2016, Jean-Pierre Lecorcier and Michael Stein v Italian Republic
   Bohmer Lisa, 2021, IA Reporter2 February
   Boute, 2012, Fordham International Law Journal, V35, P613
   Boyd David R, 2023, 78 SESS
   Brauch Martin D., Research Handbook on Climate Finance and Investment Law
   Bungenberg M., 2020, BILATERAL ARBITRAL T
   Clayton William Ralph, 2015, NAFTA/UNCITRAL Award
   Dang Hongwei, 2023, Transnational Dispute Management, V20, P1
   Di Salvatore L, 2021, INVESTOR STATE DISPU, P1
   Dimopoulos A, 2016, RES HDB CLIMATE CHAN, P415
   Dooley J, 2022, J WORLD INVEST TRADE, V23, P849, DOI 10.1163/22119000-12340272
   Douglas Z, 2009, INTERNATIONAL LAW OF INVESTMENT CLAIMS, P1, DOI 10.1017/CBO9780511581137
   Ekardt F, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15065006
   European Commission, 2023, Doc COM
   Farmeglia M, 2022, J WORLD INVEST TRADE, V23, P982, DOI 10.1163/22119000-12340276
   Farnelli GM, 2022, J WORLD INVEST TRADE, V23, P887, DOI 10.1163/22119000-12340273
   Frosch Annika, 2023, Transnational Dispute Management, V20, P23
   Gazzini T, 2016, INTERPRETATION OF INTERNATIONAL INVESTMENT TREATIES, P1
   Gehring M, 2022, J WORLD INVEST TRADE, V23, P778, DOI 10.1163/22119000-12340270
   Greenwood L, 2021, J INT ARBITR, V38, P309
   Hailes Oliver, 2022, RECIEL, V32, P2
   Hingham Catherine, 2021, Investor-State Dispute Settlement"as a New Avenue for Climate Change Litigation
   Hunter David, 2019, Md J Intl L, V34, P1
   Ipp Anja, 2022, Climate Change Counsel, P46
   Janney David A, 2018, Roger Raguso v Republic of Costa Rica
   Japari Brian, 2023, Columbia Journal of Transnational Law Bulletin
   Koskenniemi Martti, 2006, UNDOCACN4L682
   Kruck Mathias, 2022, Decision on Jurisdiction and Liability and Principles of Quantum
   Lester Simon, 2016, What If ISDS Lawsuits Were Used to Fight Climate Change?
   Limb L, 2022, EURONEWS
   Magnusson Annette, 2020, Evolution and Adaptation: The Future of International Arbitration, P1010
   Maljean-Dubois S, 2022, J WORLD INVEST TRADE, V23, P737, DOI 10.1163/22119000-12340268
   MALJEAN-DUBOIS Sandrine, 2003, La mise en oeuvre du droit international de l'environnement. Analyses n 03/2003: Gouvernance Mondiale
   Martini Camille, 2018, Boston College Law Review, V59, P2877
   Martini Camille., 2017, International Lawyer, V50, P529
   Mauro Maria Rosaria, 2023, Transnational Dispute Management, V20, P1
   McLachlan Campbell., 2005, International and Comparative Law Quarterly, V54, P279
   Meager Elizabeth, 2022, Capital Monitor14 January
   Mejia-Lemos Diego., 2022, RECIEL, V32, P2
   Miles W, 2019, ICSID REV, V34, P1, DOI 10.1093/icsidreview/siy019
   Ministry of the Environment of the Czech Republic and Czech Hydrometeorological Institute, 2005, Fourth National Communication of the Czech Republic on the UN Framework Convention on Climate Change and Demonstrable Progress Report on Implementation of the Kyoto Protocol
   Neslen Arthur, 2022, The Guardian8 October, V33
   Nishimura L, 2022, CLIM LAW, V12, P99, DOI 10.1163/18786561-20210001
   Ortino Federico, 2005, International Law Forum, V7, P243
   Paguio Joseph, 2018, Investment Treaty News17 October
   Paine J, 2023, J INT ECON LAW, V26, P285, DOI 10.1093/jiel/jgad011
   Reynoso Isabella, 2019, Investment Treaty News27 June
   Robert-Cuendet Sabrina, 2021, La fabrique d'un droit climatique au service de la trajectoire 1.5, P205
   Sabin Center for Climate Change Law at Columbia Law School (Sabin Center), Global Climate ChangeLitigation Database
   Sarvarian A, 2023, ICSID REV, V38, P422, DOI 10.1093/icsidreview/siad006
   Schmidl Maximilian, 2021, Kluwer Arbitration Blog1 February
   Schreuer Christoph, 2008, The Max Planck Encyclopedia of Public International Law
   Setzer Joana, 2023, Global Trends in Climate Change Litigation: 2023 Snapshot, P8
   Sharma M, 2022, J WORLD INVEST TRADE, V23, P746, DOI 10.1163/22119000-12340269
   Stefano Carlo de, 2023, Climate Change and the Testing of International Law, P256
   Strabag SE, 2021, Erste Nordsee-Offshore Holding GmbH and Zweite Nordsee-Offshore Holding GmbH v Federal Republic of Germany
   Sudhanshu Swaroop KC, 2023, Transnational Dispute Management, V20, P1
   Tienhaara K, 2022, SCIENCE, V376, P701, DOI 10.1126/science.abo4637
   Tienhaara K, 2018, TRANSNATL ENVIRON LA, V7, P229, DOI 10.1017/S2047102517000309
   Tremblay LL, 2022, J WORLD INVEST TRADE, V23, P915, DOI 10.1163/22119000-12340274
   UN General Assembly, 2023, 77 SESS
   UNCTAD, 2022, IIA Issues Note 4
   Uniper SE, 2023, Uniper Benelux Holding BV and Uniper Benelux NV v Kingdom of the Netherlands
   United Nations Conference on Trade and Development (UNCTAD), 2022, Doc UNCTAD/DIAE/ INF/2022/2
   Urbaser S A., 2016, Bilbao Biskaia Ur Partzuergoa v. The Argentine Republic
   Vadi Valentina., 2015, Vanderbilt Journal of Transnational Law, V48, P1285
   Yotova R, 2016, REASSERTION CONTROL, P182
   Young M.A., 2011, Carbon Climate Law Review, V2, P147, DOI [10.21552/CCLR/2011/2/172, DOI 10.21552/CCLR/2011/2/172]
NR 172
TC 2
Z9 2
U1 0
U2 2
PU CAMBRIDGE UNIV PRESS
PI CAMBRIDGE
PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND
SN 0069-0058
EI 1925-0169
J9 CAN YEARB INT LAW
JI Can. Yearb. Int. Law
PD 2024 MAR 18
PY 2024
DI 10.1017/cyl.2024.2
EA MAR 2024
PG 36
WC International Relations; Law
WE Emerging Sources Citation Index (ESCI)
SC International Relations; Government & Law
GA MO4M7
UT WOS:001194550300001
OA hybrid
DA 2025-01-10
ER

PT J
AU Lindner, M
   Verhagen, I
   Mateman, AC
   van Oers, K
   Laine, VN
   Visser, ME
AF Lindner, Melanie
   Verhagen, Irene
   Mateman, A. Christa
   van Oers, Kees
   Laine, Veronika N.
   Visser, Marcel E.
TI Genetic and epigenetic differentiation in response to genomic selection
   for avian lay date
SO EVOLUTIONARY APPLICATIONS
LA English
DT Article
DE avian breeding time; climate change adaptation; DNA methylation; genomic
   selection; Parus major; SNPs
ID WILD POPULATION; R-PACKAGE; PHENOTYPIC PLASTICITY; NATURAL-SELECTION;
   RED DEER; EVOLUTIONARY; MYOSTATIN; MICROEVOLUTIONARY; HERITABILITY;
   ARCHITECTURE
AB Anthropogenic climate change has led to globally increasing temperatures at an unprecedented pace and, to persist, wild species have to adapt to their changing world. We, however, often fail to derive reliable predictions of species' adaptive potential. Genomic selection represents a powerful tool to investigate the adaptive potential of a species, but constitutes a 'blind process' with regard to the underlying genomic architecture of the relevant phenotypes. Here, we used great tit (Parus major) females from a genomic selection experiment for avian lay date to zoom into this blind process. We aimed to identify the genetic variants that responded to genomic selection and epigenetic variants that accompanied this response and, this way, might reflect heritable genetic variation at the epigenetic level. We applied whole genome bisulfite sequencing to blood samples of individual great tit females from the third generation of bidirectional genomic selection lines for early and late lay date. Genomic selection resulted in differences at both the genetic and epigenetic level. Genetic variants that showed signatures of selection were located within genes mostly linked to brain development and functioning, including LOC107203824 (SOX3-like). SOX3 is a transcription factor that is required for normal hypothalamo-pituitary axis development and functioning, an essential part of the reproductive axis. As for epigenetic differentiation, the early selection line showed hypomethylation relative to the late selection line. Sites with differential DNA methylation were located in genes important for various biological processes, including gonadal functioning (e.g., MSTN and PIK3CB). Overall, genomic selection for avian lay date provided insights into where within the genome the heritable genetic variation for lay date, on which selection can operate, resides and indicates that some of this variation might be reflected by epigenetic variants.
C1 [Lindner, Melanie; Mateman, A. Christa; van Oers, Kees; Visser, Marcel E.] Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, POB 50, NL-6700 AB Wageningen, Netherlands.
   [Lindner, Melanie; Visser, Marcel E.] Univ Groningen, Groningen Inst Evolutionary Life Sci GELIFES, Chronobiol Unit, Groningen, Netherlands.
   [Verhagen, Irene] Wageningen Univ & Res WUR, Wageningen, Netherlands.
   [van Oers, Kees] Wageningen Univ & Res WUR, Behav Ecol Grp, Wageningen, Netherlands.
   [Laine, Veronika N.] Univ Helsinki, Finnish Museum Nat Hist, Helsinki, Finland.
C3 Royal Netherlands Academy of Arts & Sciences; Netherlands Institute of
   Ecology (NIOO-KNAW); University of Groningen; Wageningen University &
   Research; Wageningen University & Research; University of Helsinki
RP Lindner, M (corresponding author), Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, POB 50, NL-6700 AB Wageningen, Netherlands.
EM m.lindner@nioo.knaw.nl
RI Mateman, Christa/C-9380-2012; van Oers, Kees/B-2562-2009; Laine,
   Veronika/B-7869-2014; Visser, Marcel E./A-9151-2009
OI Laine, Veronika/0000-0002-4516-7002; Lindner,
   Melanie/0000-0003-2931-265X; Mateman, Christa/0000-0002-9832-5780; van
   Oers, Kees/0000-0001-6984-906X; Visser, Marcel E./0000-0002-1456-1939
FU European Research Council [ERC-2013- AdG 339092]
FX European Research Council, Grant/Award Number: ERC-2013- AdG 339092.
CR Akalin A, 2012, GENOME BIOL, V13, DOI [10.1186/gb-2012-13-10-r87, 10.1186/gb-2012-13-10-R87]
   Anaconda Software Distribution, 2016, Conda. Version 4.8.4
   Arming S, 2011, GLYCOBIOLOGY, V21, P553, DOI 10.1093/glycob/cwq153
   Aulchenko YS, 2007, BIOINFORMATICS, V23, P1294, DOI 10.1093/bioinformatics/btm108
   Barson NJ, 2015, NATURE, V528, P405, DOI 10.1038/nature16062
   Bates D, 2015, J STAT SOFTW, V67, P1, DOI 10.18637/jss.v067.i01
   Bellinge RHS, 2005, ANIM GENET, V36, P1, DOI 10.1111/j.1365-2052.2004.01229.x
   BENJAMINI Y, 1995, J R STAT SOC B, V57, P289, DOI 10.1111/j.2517-6161.1995.tb02031.x
   Bian XJ, 2021, LIFE SCI, V264, DOI 10.1016/j.lfs.2020.118654
   Bindea G, 2009, BIOINFORMATICS, V25, P1091, DOI 10.1093/bioinformatics/btp101
   Bosse M, 2017, SCIENCE, V358, P365, DOI 10.1126/science.aal3298
   Burgers PP, 2016, FEBS J, V283, P2132, DOI 10.1111/febs.13726
   Caizergues AE, 2022, EVOL APPL, V15, P149, DOI 10.1111/eva.13334
   Cantley LC, 2002, SCIENCE, V296, P1655, DOI 10.1126/science.296.5573.1655
   Caro SP, 2013, PLOS BIOL, V11, DOI 10.1371/journal.pbio.1001517
   Chang NY, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0167644
   Charmantier A, 2014, QUANTITATIVE GENETICS IN THE WILD, P1
   Charmantier A, 2014, EVOL APPL, V7, P15, DOI 10.1111/eva.12126
   Chen YJ, 2007, J ENDOCRINOL, V192, P405, DOI 10.1677/JOE-06-0076
   Danecek P, 2021, GIGASCIENCE, V10, DOI 10.1093/gigascience/giab008
   Dawson A, 2001, J BIOL RHYTHM, V16, P365, DOI 10.1177/074873001129002079
   DePristo MA, 2011, NAT GENET, V43, P491, DOI 10.1038/ng.806
   Derks MFL, 2016, BMC GENOMICS, V17, DOI 10.1186/s12864-016-2653-y
   Drent PJ, 2003, P ROY SOC B-BIOL SCI, V270, P45, DOI 10.1098/rspb.2002.2168
   Dubin MJ, 2015, ELIFE, V4, DOI 10.7554/eLife.05255
   Ewels P, 2016, BIOINFORMATICS, V32, P3047, DOI 10.1093/bioinformatics/btw354
   Excoffier L, 2010, MOL ECOL RESOUR, V10, P564, DOI 10.1111/j.1755-0998.2010.02847.x
   Feil R, 2012, NAT REV GENET, V13, P97, DOI 10.1038/nrg3142
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Forester BR, 2016, MOL ECOL, V25, P104, DOI 10.1111/mec.13476
   Garcia-Galiano D, 2019, J NEUROENDOCRINOL, V31, DOI 10.1111/jne.12685
   Garcia-Galiano D, 2017, JCI INSIGHT, V2, DOI 10.1172/jci.insight.96728
   Gienapp P, 2019, EVOL LETT, V3, P142, DOI 10.1002/evl3.103
   Gienapp P, 2017, FRONT GENET, V8, DOI 10.3389/fgene.2017.00102
   GOWER JC, 1966, BIOMETRIKA, V53, P325, DOI 10.1093/biomet/53.3-4.325
   GRANT PR, 1995, EVOLUTION, V49, P241, DOI 10.1111/j.1558-5646.1995.tb02236.x
   Grobet L, 1997, NAT GENET, V17, P71, DOI 10.1038/ng0997-71
   Gruber B, 2018, MOL ECOL RESOUR, V18, P691, DOI 10.1111/1755-0998.12745
   Gu HC, 2011, NAT PROTOC, V6, P468, DOI 10.1038/nprot.2010.190
   Guo WL, 2018, BIOINFORMATICS, V34, P381, DOI 10.1093/bioinformatics/btx595
   Han SZ, 2021, REPROD DOMEST ANIM, V56, P26, DOI 10.1111/rda.13845
   HILL WG, 1992, ANNU REV ECOL SYST, V23, P287, DOI 10.1146/annurev.es.23.110192.001443
   Höglund A, 2020, NAT ECOL EVOL, V4, P1713, DOI 10.1038/s41559-020-01310-1
   Hong Q, 2019, PROTEIN CELL, V10, P347, DOI 10.1007/s13238-018-0603-y
   Husby A, 2015, P ROY SOC B-BIOL SCI, V282, DOI 10.1098/rspb.2015.0156
   Jannink JL, 2010, BRIEF FUNCT GENOMICS, V9, P166, DOI 10.1093/bfgp/elq001
   Johnson AL, 2009, GEN COMP ENDOCR, V163, P12, DOI 10.1016/j.ygcen.2008.11.012
   Johnson AL, 2001, BIOL REPROD, V64, P1566, DOI 10.1095/biolreprod64.5.1566
   Johnston SE, 2016, GENETICS, V203, P583, DOI 10.1534/genetics.115.185553
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Kim JM, 2018, MOL ECOL RESOUR, V18, P877, DOI 10.1111/1755-0998.12778
   Kim JH, 2019, EXP CLIN ENDOCR DIAB, V127, P538, DOI 10.1055/a-0681-6608
   Köster J, 2012, BIOINFORMATICS, V28, P2520, DOI 10.1093/bioinformatics/bts480
   Kollias HD, 2008, J APPL PHYSIOL, V104, P579, DOI 10.1152/japplphysiol.01091.2007
   Krueger F, 2011, BIOINFORMATICS, V27, P1571, DOI 10.1093/bioinformatics/btr167
   Kruuk LEB, 2002, EVOLUTION, V56, P1683, DOI 10.1111/j.0014-3820.2002.tb01480.x
   Kruuk LEB, 2008, ANNU REV ECOL EVOL S, V39, P525, DOI 10.1146/annurev.ecolsys.39.110707.173542
   Laine VN, 2023, MOL ECOL RESOUR, V23, P1488, DOI 10.1111/1755-0998.13624
   Laine VN, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10474
   Langmead B, 2012, NAT METHODS, V9, P357, DOI [10.1038/NMETH.1923, 10.1038/nmeth.1923]
   LARSEN F, 1992, GENOMICS, V13, P1095, DOI 10.1016/0888-7543(92)90024-M
   Lawrence M, 2013, PLOS COMPUT BIOL, V9, DOI 10.1371/journal.pcbi.1003118
   Lawrence M, 2009, BIOINFORMATICS, V25, P1841, DOI 10.1093/bioinformatics/btp328
   Lea AJ, 2017, NAT ECOL EVOL, V1, P1074, DOI 10.1038/s41559-017-0229-0
   Lee J, 2021, ANIMALS-BASEL, V11, DOI 10.3390/ani11071935
   Lee J, 2020, INT J MOL SCI, V21, DOI 10.3390/ijms21041504
   Li LY, 2021, FRONT PHYSIOL, V12, DOI 10.3389/fphys.2021.730196
   Lindner M, 2023, SCI ADV, V9, DOI 10.1126/sciadv.ade6350
   Lindner M, 2022, MOL ECOL RESOUR, V22, P834, DOI 10.1111/1755-0998.13493
   Lindner M, 2021, MOL ECOL, V30, P3645, DOI 10.1111/mec.15803
   Lindner M, 2021, BMC GENOMICS, V22, DOI 10.1186/s12864-020-07329-9
   Lotterhos KE, 2014, MOL ECOL, V23, P2178, DOI 10.1111/mec.12725
   Luu K, 2017, MOL ECOL RESOUR, V17, P67, DOI 10.1111/1755-0998.12592
   Marrot P, 2018, J ANIM ECOL, V87, P754, DOI 10.1111/1365-2656.12794
   McKenna A, 2010, GENOME RES, V20, P1297, DOI 10.1101/gr.107524.110
   McPherron AC, 1997, NATURE, V387, P83, DOI 10.1038/387083a0
   Meissner A, 2008, NATURE, V454, P766, DOI 10.1038/nature07107
   Merilä J, 2001, GENETICA, V112, P199, DOI 10.1023/A:1013391806317
   Meuwissen T, 2016, ANIM FRONT, V6, P6, DOI 10.2527/af.2016-0002
   NELDER JA, 1972, J R STAT SOC SER A-G, V135, P370, DOI 10.2307/2344614
   Neuwirth E., 2015, RColorBrewer Palettes
   Nussey DH, 2005, SCIENCE, V310, P304, DOI 10.1126/science.1117004
   Oksanen J, 2022, R package version 2.6-2, DOI DOI 10.4135/9781412971874.N145
   Pacis A, 2019, P NATL ACAD SCI USA, V116, P6938, DOI 10.1073/pnas.1814700116
   Pujol B, 2018, TRENDS ECOL EVOL, V33, P337, DOI 10.1016/j.tree.2018.02.007
   Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
   Quinlan AR, 2010, BIOINFORMATICS, V26, P841, DOI 10.1093/bioinformatics/btq033
   Ramakers JJC, 2019, EVOLUTION, V73, P175, DOI 10.1111/evo.13660
   Rizzoti K, 2004, NAT GENET, V36, P247, DOI 10.1038/ng1309
   Santure AW, 2015, MOL ECOL, V24, P6148, DOI 10.1111/mec.13452
   Santure AW, 2011, BMC GENOMICS, V12, DOI 10.1186/1471-2164-12-283
   Schaper SV, 2012, AM NAT, V179, pE55, DOI 10.1086/663675
   Seisenberger S, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2011.0330
   Sepers B, 2023, MOL BIOL EVOL, V40, DOI 10.1093/molbev/msad086
   Sepers B, 2019, J ORNITHOL, V160, P1183, DOI 10.1007/s10336-019-01684-5
   SHAND JH, 1993, LIPIDS, V28, P621, DOI 10.1007/BF02536056
   Shannon P, 2003, GENOME RES, V13, P2498, DOI 10.1101/gr.1239303
   Sheldon BC, 2003, EVOLUTION, V57, P406
   Shimada M., 2011, J MAMMALIAN OVA RES, V28, P25, DOI DOI 10.1274/JMOR.28.25
   Skinner MK, 2009, EPIGENOMICS-UK, V1, P111, DOI 10.2217/EPI.09.11
   Slate J, 2002, GENETICS, V162, P1863
   Stevenson TJ, 2013, P NATL ACAD SCI USA, V110, P16651, DOI 10.1073/pnas.1310643110
   Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
   Szeliga A, 2021, INT J MOL SCI, V22, DOI 10.3390/ijms222413241
   Tarka M, 2010, P ROY SOC B-BIOL SCI, V277, P2361, DOI 10.1098/rspb.2010.0033
   Team RC, 2021, R LANGUAGE ENV STAT
   Trerotola M, 2015, HUM GENOMICS, V9, DOI 10.1186/s40246-015-0041-3
   van Oers K, 2020, INTEGR COMP BIOL, V60, P1517, DOI 10.1093/icb/icaa138
   Verhagen I, 2020, J EXP BIOL, V223, DOI 10.1242/jeb.218784
   Verhagen I, 2019, FUNCT ECOL, V33, P1708, DOI 10.1111/1365-2435.13360
   Verhagen I, 2019, J EXP BIOL, V222, DOI 10.1242/jeb.202481
   Viitaniemi HM, 2019, GENOME BIOL EVOL, V11, P970, DOI 10.1093/gbe/evz044
   Visser ME, 1998, P ROY SOC B-BIOL SCI, V265, P1867, DOI 10.1098/rspb.1998.0514
   Wang SH, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0187560
   Weiss J, 2003, MOL CELL BIOL, V23, P8084, DOI 10.1128/MCB.23.22.8084-8091.2003
   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
   Wickham Hadley, 2023, CRAN
   Wilke Claus O, 2024, CRAN
   Williams T.D., 2012, Physiological adaptations for breeding in birds
   Wilson AJ, 2010, J ANIM ECOL, V79, P13, DOI 10.1111/j.1365-2656.2009.01639.x
   Wingett Steven W, 2018, F1000Res, V7, P1338, DOI 10.12688/f1000research.15931.2
   Zhang CC, 2012, MOL PLANT, V5, P482, DOI 10.1093/mp/ssr091
   Zhang Y, 2018, BRIEF BIOINFORM, V19, P374, DOI 10.1093/bib/bbw133
   Zhang Z, 2020, CANCER LETT, V469, P54, DOI 10.1016/j.canlet.2019.10.021
NR 127
TC 1
Z9 1
U1 3
U2 3
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1752-4571
J9 EVOL APPL
JI Evol. Appl.
PD JUL
PY 2024
VL 17
IS 7
AR e13703
DI 10.1111/eva.13703
PG 17
WC Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Evolutionary Biology
GA WX3W1
UT WOS:001258141200001
PM 38948539
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Bedeke, SB
AF Bedeke, Sisay Belay
TI Bundling the adoption of conservation tillage improved crop variety and
   crop diversification in Ethiopia: Implications for food security
SO COGENT FOOD & AGRICULTURE
LA English
DT Article
DE adaptation strategies; soil productivity; water scarcity; food security;
   multi-method design; Sub-Saharan Africa
ID SMART AGRICULTURAL PRACTICES; CLIMATE-CHANGE; SMALLHOLDER FARMERS;
   SYSTEMS; TECHNOLOGIES; ADAPTATION; IMPACTS
AB Bundling the adoption of different adaptation strategies is useful in reducing multiple agricultural risks, building the resilience and supporting food security. This study analyses the effect of bundled adoption of conservation tillage, improved crop variety, and crop diversification on household food security in Ethiopia. In this study, a quantitative survey approach was used to gather household data using structured questionnaires. The data were gathered from randomly selected drought-prone districts of the Wolaita zone (southwest Ethiopia), which is often characterized by severe soil erosion, frequent rainfall variability, fragmented landholding, and poor plot tenure system, all of which threaten household food security. Household interview data were analyzed by the means of a multinomial endogenous switching model. Using the principal component analysis, the adoption of different adaptation strategies was bundled into three key components: conservation tillage, improved crop varieties, and crop diversification. The results showed that greater food security outcomes were achieved with the bundled adoption of conservation tillage, improved crop varieties, and crop-legume production compared to either of the single adoption. Adopters of the three bundles were 32.29% more food secure in terms of household food consumption score and 24.46% more food secure based on the scores of dietary diversity. The adoption of the three bundled climate change adaptation strategies was significantly influenced by the gender of the household head, farm size, and value of productive farm assets, implying that socioeconomic conditions are important factors affecting the adoption of bundled strategies and household food security. To promote bundling of adaptation strategies, frequent provision of agricultural extension services, active participation in farmer/female peers, and empowerment of women should be maintained through continuous education and gendered training.
C1 [Bedeke, Sisay Belay] Wolaita Sodo Univ, Coll Agr, Dept Rural Dev & Agr Extens, POB 138, Sodo, Ethiopia.
RP Bedeke, SB (corresponding author), Wolaita Sodo Univ, Coll Agr, Dept Rural Dev & Agr Extens, POB 138, Sodo, Ethiopia.
EM belaysisay@gmail.com
FU Wolaita Sodo University
FX I would like to acknowledge the financial support provided by the
   Wolaita Sodo University to accomplish the research work.
CR Alemu T., 2019, IMPACTS CLIMATE CHAN, DOI [https://doi.org/10.1007/978-3-319-75004-0, DOI 10.1007/978-3-319-75004-0]
   Amadu FO, 2020, WORLD DEV, V126, DOI 10.1016/j.worlddev.2019.104692
   [Anonymous], 2003, Journal of the American Statistical Association, DOI DOI 10.1198/JASA.2002.S458
   Araya T, 2011, SOIL USE MANAGE, V27, P404, DOI 10.1111/j.1475-2743.2011.00347.x
   Aryal JP, 2018, INT J CLIM CHANG STR, V10, P407, DOI [10.1108/IJCCSM-02-2017-0025, 10.1108/ijccsm-02-2017-0025]
   Bagnara G.L., 2017, AGR PRODUCTION MARKE, DOI [10.13140/RG.2.2.34313.95846, DOI 10.13140/RG.2.2.34313.95846]
   Branca G, 2020, J CLEAN PROD, V270, DOI 10.1016/j.jclepro.2020.121900
   Chichongue Oscar, 2019, International Journal of Agricultural Extension, V7, P277, DOI 10.33687/ijae.007.03.3049
   Deressa TemesgenTadesse., 2010, Assessment of the Vulnerability of Ethiopian Agriculture to Climate Change and Farmers' Adaptation Strategies, DOI 10.13140/RG.2.1.1090.2889
   Di Falco S, 2014, EUR REV AGRIC ECON, V41, P405, DOI 10.1093/erae/jbu014
   Hadgu K. M., 2019, CLIMATE SMART AGR EN
   Hussain S, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15031768
   Hyland JJ, 2016, AGR HUM VALUES, V33, P323, DOI 10.1007/s10460-015-9608-9
   Issahaku G, 2020, AUST J AGR RESOUR EC, V64, P396, DOI 10.1111/1467-8489.12357
   Kifle Tekeste, 2021, African Journal of Agricultural Research, V17, P92, DOI 10.5897/AJAR2020.15100
   Kothari C.R., 2004, Methods Techniques, V2nd
   Makate C, 2019, J ENVIRON MANAGE, V231, P858, DOI 10.1016/j.jenvman.2018.10.069
   Mango N., 2017, Agriculture and Food Security, V6, P32, DOI DOI 10.1186/S40066-017-0109-5
   Mekonnen A, 2021, FOOD ENERGY SECUR, V10, DOI 10.1002/fes3.266
   Mengistu F, 2020, ENVIRON DEV SUSTAIN, V22, P7515, DOI 10.1007/s10668-019-00534-x
   Moroda G., 2018, THESIS ADDIS ABABA U
   Mwongera C, 2017, AGR SYST, V151, P192, DOI 10.1016/j.agsy.2016.05.009
   Myers SS, 2017, ANNU REV PUBL HEALTH, V38, P259, DOI 10.1146/annurev-publhealth-031816-044356
   NMA, 2015, WEATH REC NAT METR A
   Prasad P., 2016, Climate Smart Agriculture and Sustainable Intensification: Assessment and Priority Setting for Rwanda
   Sova C.A., 2018, World Bank, and the International Centre for Tropical Agriculture, DOI [10.1596/31064, DOI 10.1596/31064]
   Tambo JA, 2018, ECOL ECON, V151, P95, DOI 10.1016/j.ecolecon.2018.05.005
   Teklewold H, 2017, CLIM CHANG ECON, V8, DOI 10.1142/S2010007817500014
   Tesfaye W, 2021, AM J AGR ECON, V103, P878, DOI 10.1111/ajae.12161
   Thornton PK, 2018, AGR SYST, V167, P161, DOI 10.1016/j.agsy.2018.09.009
   Thornton PK, 2015, NAT CLIM CHANGE, V5, P830, DOI [10.1038/nclimate2754, 10.1038/NCLIMATE2754]
   van Wesenbeeck L, 2020, CLIMATE SMART AGR FO
   Wainaina P, 2016, AGR ECON-BLACKWELL, V47, P351, DOI 10.1111/agec.12235
   Wassie A, 2018, SINGAPORE J TROP GEO, V39, P300, DOI 10.1111/sjtg.12240
   Wassmann R, 2019, GLOB FOOD SECUR-AGR, V23, P33, DOI 10.1016/j.gfs.2019.02.003
   Webb P., 2021, TRANSITION STEPS NEE
   Wekesa B. M., 2018, Agriculture & Food Security, V7, P80, DOI 10.1186/s40066-018-0230-0
   Zougmoré RB, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13084305
NR 38
TC 2
Z9 2
U1 6
U2 20
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 2023
VL 9
IS 1
AR 2248692
DI 10.1080/23311932.2023.2248692
PG 19
WC Agriculture, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA P2NK6
UT WOS:001049057200001
OA gold
DA 2025-01-10
ER

PT J
AU Linares-Rodríguez, MC
   Gambetta, N
   García-Benau, MA
AF Linares-Rodriguez, Martha Cristina
   Gambetta, Nicolas
   Garcia-Benau, Maria Antonia
TI Climate action information disclosure in Colombian companies: A regional
   and sectorial analysis
SO URBAN CLIMATE
LA English
DT Article
DE SDG 13; Climate change; Climate risks; Greenwashing; SDG-washing;
   Information disclosure
ID ENVIRONMENTAL DISCLOSURE; MANAGEMENT; PERFORMANCE; LEGITIMACY;
   DETERMINANTS; STRATEGIES; GOALS; EMISSIONS; IMPACTS
AB This study analyzes Sustainable Development Goal 13 (SDG 13) which urges action to combat climate change and its impacts. This study focuses mainly on goal 13.2 which establishes the incorporation of measures related to climate change policies, strategies, and plans. This objective includes information on climate change adaptation strategies, greenhouse gas emissions, and their scopes 1 (direct emissions), 2 (indirect emissions), and 3 (Other Emissions). This study is based on the legitimacy theory and the approach of symbolic and substantive information disclosure and the greenwashing and SDG-washing concepts. We designed two disclosure quality indexes for SDG 13 (qualitative SDG13 index and quantitative SDG13 index) through content analysis of the sustainability reports of 60 listed Colombian companies. Our findings suggest that there is a significant gap between the disclosure quality of symbolic (qualitative) and substantive (quantitative) information, thus generating impacts in relation to climate action at the regional and sectoral levels. The sectors with the highest disclosure quality are environmentally sensitive industries. At the regional level, there is evidence of heterogeneous behavior due to the region's social, economic, and political characteristics and their little connection with government climate change plans. Our results are useful to understand and identify the territorial context through business behavior factors related to climate change. These results also reveal necessary elements so that territorial governments can efficiently prevent, mitigate, and adapt measures that guarantee public health and the life of their inhabitants by managing resilient and habitable territories. This study has implications that go beyond the business sphere. The results should be understood as a contribution to the country's low carbon strategies, low greenhouse gas emissions, and carbon neutrality by the year 2050.
C1 [Linares-Rodriguez, Martha Cristina] Univ Cent Colombia, Becaria Fdn Carolina, Fac Contaduria Publ, Bogota 111321, Colombia.
   [Gambetta, Nicolas] Univ ORT Uruguay, Fac Adm & Ciencias Sociales, Bvar Espana 2633, Montevideo 11300, Uruguay.
   [Garcia-Benau, Maria Antonia] Univ Valencia, Dept Contabilidad, Valencia 46022, Spain.
C3 University ORT Uruguay; University of Valencia
RP Linares-Rodríguez, MC (corresponding author), Univ Cent Colombia, Becaria Fdn Carolina, Fac Contaduria Publ, Bogota 111321, Colombia.
EM mlinaresr@ucentral.edu.co; gambetta@ort.edu.uy; maria.garcia-benau@uv.es
RI Gambetta, Nicolas/Q-8683-2019
CR ACKERMAN RW, 1973, HARVARD BUS REV, V51, P88
   Ahrens T, 2022, QUAL RES ACCOUNT MAN, V19, P1, DOI 10.1108/QRAM-03-2021-0044
   Albanito F, 2018, GEOECOL ESSAYS, P72
   Alvarado S., 2016, USE EARTH OBSERVATIO
   [Anonymous], 2022, Cambridge Dictionary
   [Anonymous], 2020, Defender el manana. Crisis climatica y amenazas contra las personas defensoras de la tierra y del medio ambiente
   [Anonymous], 2021, The World Bank
   [Anonymous], 2019, Creating a strategy for a better world how the sustainable development goals can provide the framework for business to deliver progress on our global challenges
   Ariza-Montes A., 2018, CIRIEC ESPANA REV EC, V88, P164
   Australian Goverment-Clean Energy Regulator, 2021, NAT GREENH EN REP
   Baboukardos D, 2021, SUSTAIN ACCOUNT MANA, V12, P719, DOI 10.1108/SAMPJ-07-2021-451
   Bai HT, 2014, ENVIRON SCI TECHNOL, V48, P2541, DOI 10.1021/es404562e
   Barber B., 2004, PAIS
   Bardin L., 2002, El Analisis de contenido
   Barnett J, 2001, WORLD DEV, V29, P977, DOI 10.1016/S0305-750X(01)00022-5
   Bebbington J., 2008, Accounting, Auditing and Accountability Journal, V21, P371, DOI DOI 10.1108/09513570810863969
   Bebbington J, 2019, ACCOUNT AUDIT ACCOUN, V33, P152, DOI 10.1108/AAAJ-11-2018-3745
   Bowen F, 2014, ORGAN ENVIRON, V27, P107, DOI 10.1177/1086026614537078
   Broadstock DC, 2018, BRIT ACCOUNT REV, V50, P48, DOI 10.1016/j.bar.2017.02.002
   Buchanan A, 2002, ETHICS, V112, P689, DOI 10.1086/340313
   Burget M, 2017, SCI ENG ETHICS, V23, P1, DOI 10.1007/s11948-016-9782-1
   Byers E, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aabf45
   C40 Cities Climate Leadership Group, 2022, Annual report 2022
   Cadez S, 2016, J CLEAN PROD, V112, P4132, DOI 10.1016/j.jclepro.2015.07.099
   Campbell BM, 2018, CURR OPIN ENV SUST, V34, P13, DOI 10.1016/j.cosust.2018.06.005
   Carbon Solutions Global, 2020, ABOUT US
   Cárdenas J, 2016, AM LAT HOY, V73, P15, DOI 10.14201/alh2016731544
   Charnock R, 2020, ACCOUNT AUDIT ACCOUN, V33, P1731, DOI 10.1108/AAAJ-12-2018-3790
   Choi B, 2021, AUST J MANAGE, V46, P3, DOI 10.1177/0312896220918642
   Comyns B, 2016, J BUS ETHICS, V136, P349, DOI 10.1007/s10551-014-2517-9
   Damert M, 2017, J CLEAN PROD, V160, P123, DOI 10.1016/j.jclepro.2017.03.206
   Datt RR, 2019, ACCOUNT RES J, V32, P417, DOI 10.1108/ARJ-02-2017-0031
   de Albuquerque M. F. C., 2020, INT BUSINESS TRADE I, P475, DOI [10.1007/978-3-030-26759-9_27, DOI 10.1007/978-3-030-26759-9_27]
   de Medellin Alcaldia, 2022, PLAN ACC CLIM
   De Neve JE, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-71916-9
   Deegan C., 2002, ACCOUNTING AUDITING, V15, P282, DOI [10.1108/09513570210435852, DOI 10.1108/09513570210435852]
   Delgado R, 2020, ENERGY STRATEG REV, V32, DOI 10.1016/j.esr.2020.100525
   Delmas MA, 2011, CALIF MANAGE REV, V54, P64, DOI 10.1525/cmr.2011.54.1.64
   Departamento Nacional de Planeacion, 2015, DNP GOV CO
   DNP Departamento Nacional de Planeacion, 2019, OBJETIVOS DESARROLLO
   Doni F., 2021, COVID-19: Paving the way for a more sustainable world, P43, DOI [10.1007/978-3-030-69284-13, DOI 10.1007/978-3-030-69284-13]
   DOWLING J, 1975, PAC SOCIOL REV, V18, P122
   Downie J, 2013, J CLEAN PROD, V56, P156, DOI 10.1016/j.jclepro.2011.09.010
   Drucker P., 1983, MANAGMENT TASK RESPO
   Dubey AK, 2021, ENVIRON RES, V201, DOI 10.1016/j.envres.2021.111573
   ECLAC, 2022, ABOUT US
   Edwards-Schachter M., 2018, Int. J. Innov. Stud, V2, P65, DOI [10.1016/j.ijis.2018.08.004, DOI 10.1016/J.IJIS.2018.08.004]
   EJAtlas, 2022, ENV JUST ATL
   Emma GM, 2021, J CLEAN PROD, V298, DOI 10.1016/j.jclepro.2021.126781
   Faisal F, 2018, CORP SOC RESP ENV MA, V25, P1397, DOI 10.1002/csr.1660
   Fisher J, 2021, SUSTAIN SCI, V16, P1125, DOI 10.1007/s11625-021-00925-y
   Freeman R. E., 1984, STRATEG MANAG
   Gambetta N., 2021, J LEGAL ETHICAL REGU, P1
   Gao P, 2021, J CLEAN PROD, V283, DOI 10.1016/j.jclepro.2020.124655
   García-Sánchez IM, 2021, BUS SOC, V60, P1431, DOI 10.1177/0007650319898839
   Gobernacion Valle del Cauca, 2020, ABOUT US
   Gobierno de Colombia, 2020, ABOUT US
   Gonzalez J., 2018, RECOMENDACIONES MEDI
   Gutiérrez-Ponce H, 2023, SUSTAIN DEV, V31, P3008, DOI 10.1002/sd.2566
   Hacking T, 2019, IMPACT ASSESS PROJ A, V37, P2, DOI 10.1080/14615517.2018.1477469
   He PL, 2019, SUSTAINABILITY-BASEL, V11, DOI 10.3390/su11102901
   Heras-Saizarbitoria I, 2022, CORP SOC RESP ENV MA, V29, P316, DOI 10.1002/csr.2202
   Hwang H, 2021, SUSTAINABILITY-BASEL, V13, DOI 10.3390/su13105596
   IDEAM, 2020, CAMBIO CLIMATICO
   Instituto de Estudios Urbanos, 2021, ABOUT US
   IQAir, 2023, ABOUT US
   Jimenez J., 2019, POLITICA EXTERIOR, V33, P74
   Johnsson F, 2020, RENEW SUST ENERG REV, V131, DOI 10.1016/j.rser.2020.110029
   Khailani DK, 2013, LAND USE POLICY, V30, P615, DOI 10.1016/j.landusepol.2012.05.003
   Kolk A., 2004, EUR MANAG J, V22, P304, DOI [10.1016/j.emj.2004.04.011, DOI 10.1016/J.EMJ.2004.04.011]
   Kornieieva Y., 2020, INT J EC BUSINESS AD, V8, P62, DOI [10.35808/ijeba/409, DOI 10.35808/IJEBA/409]
   KPMG, 2022, SEC ESG PROP CLIM RE
   Ladron Davila, 2003, SIGLOS 19 20 COLECCI
   Lal P, 2023, SCI TOTAL ENVIRON, V867, DOI 10.1016/j.scitotenv.2023.161470
   Laufer WS, 2003, J BUS ETHICS, V43, P253, DOI 10.1023/A:1022962719299
   Lemaire J.P., 1997, STRATEGIES INT, V3
   Li Y, 2020, STRUCT CHANGE ECON D, V53, P237, DOI 10.1016/j.strueco.2020.02.007
   Lindblom C.K., 1994, PAPER PRESENTED CRIT
   Lodhia S, 2023, MEDITARI ACCOUNT RES, V31, P1578, DOI 10.1108/MEDAR-05-2021-1297
   Louman B., 2019, SDG 13 CLIMATE ACTIO
   Luo XY, 2021, CARBON MANAG, V12, P235, DOI 10.1080/17583004.2021.1899755
   Lyon TP, 2011, J ECON MANAGE STRAT, V20, P3, DOI 10.1111/j.1530-9134.2010.00282.x
   Manes-Rossi F, 2022, CORP SOC RESP ENV MA, V29, P1799, DOI 10.1002/csr.2328
   Masson-Delmotte V., 2019, Resumen para responsables de politicas resumen tecnico preguntas frecuentes glosario
   Mateo-Marquez AJ, 2022, J CLEAN PROD, V363, DOI 10.1016/j.jclepro.2022.132567
   Minenergia, 2021, MIN MIN EN
   Ministerio de Medio Ambiente, 2022, MIN GOV CO
   Ministerio de Medio Ambiente y Desarrollo Sostenible, 2022, MIN MED AMB DES SOST
   MSCI, 2020, US
   Munro V., 2020, CSR PURPOSE SHARED V, P85, DOI [10.1108/978-1-80043-035-820200006, DOI 10.1108/978-1-80043-035-820200006]
   NASA Global Climate Change, 2020, NAS GLOB CLIM
   NASA SCIENCE, 2021, ABOUT US
   National Planning Department, 2015, ABOUT US
   Nicolò G, 2023, SOC RESPONSIB J, V19, P829, DOI 10.1108/SRJ-09-2021-0373
   O'Donovan G., 2002, ACCOUNTING AUDITINGA, V15, P344, DOI [10.1108/09513570210435870, DOI 10.1108/09513570210435870]
   OAB, 2022, ABOUT US
   Okereke C, 2010, CALIF MANAGE REV, V52, P100, DOI 10.1525/cmr.2010.52.4.100
   Orsetti E, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph19031355
   Pacto Global Red Colombia, 2019, ABOUT US
   Parvez M, 2019, SUSTAIN ACCOUNT MANA, V10, P685, DOI 10.1108/SAMPJ-11-2017-0138
   Patten DM, 2002, ACCOUNT ORG SOC, V27, P763, DOI 10.1016/S0361-3682(02)00028-4
   PATTEN DM, 1991, J ACCOUNT PUBLIC POL, V10, P297, DOI 10.1016/0278-4254(91)90003-3
   PEREZ RINCON M. A., 2014, Estrategia de manejo ambiental de la zona media y baja de la subcuenca del Rio Pance
   Philcarto, 2021, CART MAT AV PHILC
   Pitrakkos P, 2020, SUSTAIN ACCOUNT MANA, V11, P553, DOI 10.1108/SAMPJ-03-2018-0081
   Porter ME, 2006, HARVARD BUS REV, V84, P78
   Radu C, 2020, J CLEAN PROD, V244, DOI 10.1016/j.jclepro.2019.118681
   Rankin M, 2011, ACCOUNT AUDIT ACCOUN, V24, P1037, DOI 10.1108/09513571111184751
   Rettberg A., 2018, RECURSOS DIFERENTES
   Rietbergen MG, 2015, J CLEAN PROD, V103, P549, DOI 10.1016/j.jclepro.2014.09.046
   Salvia AL, 2019, J CLEAN PROD, V208, P841, DOI 10.1016/j.jclepro.2018.09.242
   Silva S, 2021, J CLEAN PROD, V292, DOI 10.1016/j.jclepro.2021.125962
   SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788
   Talbot D, 2018, J BUS ETHICS, V147, P367, DOI 10.1007/s10551-015-2979-4
   UNCTAD, 2021, INF INV MUND 2021
   United Nations, 2022, 2030 AG LAT AM CAR
   United Nations, 2020, CONV BIOL DIV
   Valenzuela Luis, 2015, Lumina, V4, P168, DOI [DOI 10.30554/LUMINA.16.1673.2015, 10.30554/lumina.16.1673.2015]
   van der Waal JWH, 2020, J CLEAN PROD, V252, DOI 10.1016/j.jclepro.2019.119625
   van Zanten JA, 2021, BUS STRATEG ENVIRON, V30, P2396, DOI 10.1002/bse.2753
   Wedari LK, 2021, BUS STRATEG ENVIRON, V30, P3721, DOI 10.1002/bse.2836
   Weinhofer G, 2010, BUS STRATEG ENVIRON, V19, P77, DOI 10.1002/bse.618
   Worldbank Governance, 2020, WORLDWIDE GOVERNANCE
   WRI, 2022, ABOUT US
   WRI and WBCSD, 2010, GHG PROT CORP ACC RE
   Yang R, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12145866
   Yunus S, 2016, MANAG AUDIT J, V31, P156, DOI 10.1108/MAJ-09-2014-1087
   Zhang Q, 2019, J CLEAN PROD, V232, P474, DOI 10.1016/j.jclepro.2019.05.333
NR 128
TC 2
Z9 2
U1 7
U2 26
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-0955
J9 URBAN CLIM
JI Urban CLim.
PD SEP
PY 2023
VL 51
AR 101626
DI 10.1016/j.uclim.2023.101626
EA JUL 2023
PG 23
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA P5KN5
UT WOS:001051065100001
DA 2025-01-10
ER

PT J
AU Lee, SY
AF Lee, Suyeon
TI How much do development partners invest in disaster risk reduction? A
   data analysis
SO DEVELOPMENT POLICY REVIEW
LA English
DT Article
DE climate change; development co-operation; disaster risk reduction; DRR
   marker; official development assistance (ODA); Sendai Framework
ID CLIMATE-CHANGE; AID; ADAPTATION; PROMISES; BROKEN
AB Motivation: Most weather-related disasters occur in the world's poorest countries, which have the least capacity to cope. Due to the absence of a clear classification of DRR aid, donors and recipient countries have not known the amount of DRR aid flowing or its effectiveness in terms of supporting disaster risk management in developing countries.Purpose: In 2018, the OECD DAC created a new policy marker for DRR to help donor countries to monitor and report the progress made on mainstreaming DRR into their development activities. Drawing on this DRR marker, this study identifies trends and patterns as well as limitations in the DRR mainstreaming process to guide donor countries to successfully deliver the DRR goals.Methods and approach: When reporting to the OECD DAC, donors are asked to provide information on the purpose of individual projects/programmes, and screen against all policy markers in the reporting system. Using this data, this study conducted an in-depth analysis of donor countries' development portfolios to provide a comprehensive and granular picture of the funding streams and practices concerning DRR.Findings: This study revealed that current spending on DRR remains a tiny fraction of total development aid. Even after the creation of the DRR marker, which raised donors' awareness of the importance of integrating DRR into development planning, no substantial increase in DRR funding has been made. This implies that most official development assistance from DAC members still fails to consider DRR in any meaningful way.Policy implications: Important areas for improvement include a more comprehensive understanding of disaster risk, increased funding for activities that principally target DRR, financial stability, and further integration of DRR and climate change adaptation into development projects.
C1 [Lee, Suyeon] Seoul Natl Univ, Seoul, South Korea.
   [Lee, Suyeon] Seoul Natl Univ, Global Dev Inst Publ Affairs, Grad Sch Publ Adm, Bldg 57-1, 1 Gwanak Ro, Seoul 08826, South Korea.
C3 Seoul National University (SNU); Seoul National University (SNU)
RP Lee, SY (corresponding author), Seoul Natl Univ, Global Dev Inst Publ Affairs, Grad Sch Publ Adm, Bldg 57-1, 1 Gwanak Ro, Seoul 08826, South Korea.
EM lee.suyeon@snu.ac.kr
RI Lee, Su/ABC-6038-2020
OI Lee, Suyeon/0000-0002-7508-4822
CR Adger WN, 2009, ADAPTING TO CLIMATE CHANGE: THRESHOLDS, VALUES, GOVERNANCE, P1, DOI 10.1017/CBO9780511596667.002
   Alcayna T, 2020, WHAT COST CHRONIC GA
   [Anonymous], 2015, AUST J EMERG MANAG, V30, P9
   [Anonymous], 2021, Global Report on Internal Displacement 2021
   [Anonymous], 2010, Guidelines for Reporting Information on Climate Finance
   Atteridge A., 2017, 201704 SEI
   Benson C., 2007, TOOLS MAINSTREAMING
   Brown O., 2008, Assessing the security implications of climate change for West Africa? country case studies of Ghana and Burkina Faso IISD: Winnipeg
   Bulir A., 2001, 01167 IMF, DOI [10.5089/9781451858181.001, DOI 10.5089/9781451858181.001]
   Calderon C., 2022, AFRICAS PULSE, DOI [10.1596/978-1-4648-1932-2, DOI 10.1596/978-1-4648-1932-2]
   Centre for Research on the Epidemiology of Disasters, 2019, DIS 2018 YEAR REV
   Connolly B., 1996, I ENV AID PITFALLS P, P327
   CRED (Centre for Research on the Epidemiology of Disasters), 2020, NAT DIS 2019 NOW IS
   Dias N, 2018, PROCEDIA ENGINEER, V212, P978, DOI 10.1016/j.proeng.2018.01.126
   Donner SD, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054006
   Eckstein D., 2021, Global Climate Risk Index 2021: Who Suffers Most from Extreme Weather Events? Weather-Related Loss Events in 2019 and 20002019
   Eichenauer VZ, 2017, REV INT ORGAN, V12, P171, DOI 10.1007/s11558-017-9267-2
   European Commission Directorate-General for International Cooperation and Development, 2016, INT ENV CLIM CHANG E, DOI [10.2841/47745, DOI 10.2841/47745]
   European Parliament, 2015, EU TRUST FUNDS EXT A
   Gigli S., 2007, STOCKTAKING PROGR IN
   Government of Sweden, 2016, POL FRAM SWED DEV CO
   Gulrajani N., 2016, Bilateral versus multilateral aid channels. Strategic Choices for Donors
   Gulrajani N., 2017, 5 STEPS SMARTER MULT
   Hattle A., 2021, NEW ADDITIONAL CLIMA
   Hudson J, 2013, REV DEV FINANC, V3, P109, DOI 10.1016/j.rdf.2013.08.001
   Institute for Economics and Peace, 2020, EC THREAT REG UND EC
   Japan International Cooperation Agency, 2018, IND DEV JAP COOP BUI
   Junghans L., 2012, DIFFERENT TALES DIFF
   Klein RJT, 2007, CLIMATIC CHANGE, V84, P23, DOI 10.1007/s10584-007-9268-x
   Lee S, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su141610003
   Martinus M., 2022, ISEASYusof Ishak Institute No. 09
   Mercy Corps, 2020, SUBM UNFCCC STAND CO
   Michaelowa A, 2011, WORLD DEV, V39, P2010, DOI 10.1016/j.worlddev.2011.07.020
   Mysiak J, 2018, NAT HAZARD EARTH SYS, V18, P3137, DOI 10.5194/nhess-18-3137-2018
   Nishio A., 2021, WORLD BANK BLOG 1105
   OECD.Stat, CRED REP SYST CRR
   Organisation for Economic Co-operation and Development, 2019, DON MUST MOR AL DEV
   Organisation for Economic Co-operation and Development, 2021, CLIM CHANG OECD DAC
   Organisation for Economic Co-operation and Development, 2020, MULT DEV FIN 2020, DOI [10.1787/e61fdf00-en, DOI 10.1787/E61FDF00-EN]
   Organisation for Economic Co-operation and Development, 2021, COVID 19 SPEND HELP
   Organisation for Economic Co-operation and Development Development Assistance Committee, 2017, PROP EST POL MARK DI
   Persson, 2008, MAINSTREAMING CLIMAT, V36
   Quarantelli E. L., 1998, WHAT IS DISASTER PER, P239, DOI 10.4324/9780203984833
   Ritchie E., 2021, If we're going to fund climate mitigation from ODA, we need to Double it
   Sparks D., 2012, AID INVESTMENTS DISA
   Timperley J, 2021, NATURE, V598, P400, DOI 10.1038/d41586-021-02846-3
   Tortora P, 2016, CLIMATE DISASTER RES, DOI [10.1787/9789264266919-en, DOI 10.1787/9789264266919-EN]
   UNDRR, 2020, The Human Cost of Disasters: an Overview of the Last 20 Years-2000-2019
   United Nations Development Group, 2015, UNDG GUID EST MAN CL
   United Nations Office for Disaster Risk Reduction, 2021, INT COOP DIS RISK RE
   United Nations Office for Disaster Risk Reduction, 2015, DISASTER RISK REDUCT
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Weikmans R, 2017, DEV PRACT, V27, P458, DOI 10.1080/09614524.2017.1307325
   World Bank, 2022, FY23 LIST FRAG CONFL
NR 54
TC 0
Z9 0
U1 0
U2 2
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0950-6764
EI 1467-7679
J9 DEV POLICY REV
JI Dev. Policy Rev.
PD SEP
PY 2023
VL 41
IS 5
DI 10.1111/dpr.12707
EA MAY 2023
PG 17
WC Development Studies
WE Social Science Citation Index (SSCI)
SC Development Studies
GA R2YK5
UT WOS:000994464900001
OA Bronze
DA 2025-01-10
ER

PT J
AU Makaske, B
   Maas, GJ
AF Makaske, Bart
   Maas, Gilbert J.
TI Different hydrological controls causing variable rates of Holocene peat
   growth in a lowland valley system, north-eastern Netherlands;
   implications for valley peatland restoration
SO HOLOCENE
LA English
DT Article
DE Drentsche Aa; eutrophic peat; Holocene; lowland valley; peat growth
   rate; regional stream; sea-level rise; valley peatland; water-level rise
ID RHINE-MEUSE DELTA; SEA-LEVEL RISE; YOUNGER DRYAS CLIMATE; RIVER;
   RECONSTRUCTION; MAAS; AREA; DEPOSITS
AB The Drentsche Aa valley system in the glacial sandy landscape of the north-eastern Netherlands, is one of the many regional drainage systems in the north-western to central European Lowlands. Following deep incision in the Weichselian, ca 7 m of eutrophic peat has accumulated in the lower to middle reaches of the valley system in the Holocene, completely filling the Weichselian incision. We reconstructed the rate of water-level rise controlling peat growth at three locations in the valley system (representing the upper, middle and lower reaches), using C-14 peat dates from compaction-free sampling sites on the sloping valley margin where the peat directly overlies the sandy Pleistocene subsurface. The C-14 dates enabled the construction of curves showing the water-level evolution at each location. Our results show variable rates of Holocene peat growth in the valley system in response to different drivers of hydrological change: a strong increase in annual precipitation (onset Holocene), a decrease in evapotranspiration (10,000-8000 cal. years BP) and relative sea-level rise (after similar to 4500 cal. years BP). Because the identified hydrological controls on peat growth are regional, they probably ruled Holocene peat growth in many peat-filled valley systems in the north-western to central European Lowlands. Currently, there is growing attention for these valley systems in the context of European nature restoration efforts and climate change adaptation and mitigation measures. The present study underscores that large-scale hydrological measures outside the valley system are needed for restoration of degraded valley peatlands.
C1 [Makaske, Bart] Wageningen Univ, Soil Geog & Landscape Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
   [Maas, Gilbert J.] Wageningen Univ & Res, Wageningen Environm Res, Wageningen, Netherlands.
C3 Wageningen University & Research; Wageningen University & Research
RP Makaske, B (corresponding author), Wageningen Univ, Soil Geog & Landscape Grp, POB 47, NL-6700 AA Wageningen, Netherlands.
EM bart.makaske@wur.nl
OI Makaske, Bart/0000-0002-2777-3017
CR Bakker J., 2015, LANDSCHAPSBIOGRAFIE, P418
   Berendsen MA, 2007, NETH J GEOSCI, V86, P333, DOI 10.1017/S0016774600023568
   BOHNCKE S, 1993, GEOL MIJNBOUW, V72, P193
   Bungenstock F., 2021, NETH J GEOSCI, V100
   Candel JHJ, 2017, EARTH SURF PROC LAND, V42, P2679, DOI 10.1002/esp.4100
   Cohen K.M., 2005, River Deltas - Concepts, Models, and Examples, V83, P341
   Cohen KM., 2005, FLUVIAL SEDIMENTOLOG, P3
   DANSGAARD W, 1989, NATURE, V339, P532, DOI 10.1038/339532a0
   De Bakker H., 1966, Systeem van bodemclassificatie voor Nederland: De hogere niveaus
   De Gans W., 1981, THESIS VRIJE U AMSTE
   De Mulder E.F.J., 2003, De ondergrond van Nederland
   DEGANS W, 1983, GEOL MIJNBOUW, V62, P285
   Fernandes AM, 2016, GEOLOGY, V44, P979, DOI 10.1130/G37965.1
   Hijma MP, 2019, QUATERNARY SCI REV, V214, P68, DOI 10.1016/j.quascirev.2019.05.001
   Hijma MP, 2010, GEOLOGY, V38, P275, DOI 10.1130/G30439.1
   Huisink M, 1997, J QUATERNARY SCI, V12, P209, DOI 10.1002/(SICI)1099-1417(199705/06)12:3<209::AID-JQS306>3.3.CO;2-G
   Isarin RFB, 1998, J QUATERNARY SCI, V13, P447, DOI 10.1002/(SICI)1099-1417(1998090)13:5<447::AID-JQS402>3.0.CO;2-B
   Khan NS, 2019, QUATERNARY SCI REV, V220, P359, DOI 10.1016/j.quascirev.2019.07.016
   Kiden P, 2002, J QUATERNARY SCI, V17, P535, DOI 10.1002/jqs.709
   Kiden P., 2008, GRONDBOOR HAMER, V62, P54
   Koster E., 2005, Physical Geography of Western Europe, P139
   Koster E.A., 2005, The physical geography of Western Europe, P161
   Kuijer PC., 1991, BODEMKAART NEDERLAND
   Leifeld J, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-018-03406-6
   Louwe Kooijmans LP., 1974, ANALECTA, V7, P1
   Magny M, 2001, QUATERNARY RES, V56, P170, DOI 10.1006/qres.2001.2257
   Masson-Delmotte V., 2021, Climate Change 2021: the physical science basis, P3
   Meijles EW, 2018, J QUATERNARY SCI, V33, P905, DOI 10.1002/jqs.3068
   Mook WG., 1981, P 1 INT S 14C ARCHEO, P31
   OELE E, 1983, GEOL MIJNBOUW, V62, P355
   Paola C, 1996, BASIN RES, V8, P243, DOI 10.1046/j.1365-2117.1996.00253.x
   Rijkswaterstaat, 2013, KENM WAARD GET 2011
   Roeleveld W., 1974, BERICHTEN RIJKSDIENS, P1
   Stiboka, 1973, BOD NED 1 50000 TOEL
   Stouthamer E., 2015, VORMING LAND GEOLOGI
   Tebbens LA, 1999, J QUATERNARY SCI, V14, P59, DOI 10.1002/(SICI)1099-1417(199902)14:1<59::AID-JQS408>3.3.CO;2-Q
   TORNQVIST TE, 1992, RADIOCARBON, V34, P566, DOI 10.1017/S0033822200063840
   Trepel Michael, 2002, Journal for Nature Conservation (Jena), V10, P155, DOI 10.1078/1617-1381-00016
   van Beek R, 2019, HOLOCENE, V29, P1206, DOI 10.1177/0959683619838048
   van de Plassche O, 2005, QUATERN INT, V133, P77, DOI 10.1016/j.quaint.2004.10.009
   van de Plassche O, 2010, NETH J GEOSCI, V89, P3
   Van de Plassche O., 1982, MEDEDELINGEN RIJKS G, V36, P1
   Vandenberghe DAG, 2013, QUATERNARY SCI REV, V68, P96, DOI 10.1016/j.quascirev.2013.02.009
   VANDENBERGHE J, 1995, QUATERNARY SCI REV, V14, P631, DOI 10.1016/0277-3791(95)00043-O
   VANDIJK GJ, 1991, GEOL MIJNBOUW, V70, P311
   Verhoeven JTA, 2014, ECOL ENG, V66, P6, DOI 10.1016/j.ecoleng.2013.03.006
   Vink A, 2007, QUATERNARY SCI REV, V26, P3249, DOI 10.1016/j.quascirev.2007.07.014
   Vos P., 2020, Atlas of the Holocene Netherlands, landscape and habitation since the last ice age
   Vos PC, 2015, NETH J GEOSCI, V94, DOI 10.1017/njg.2015.4
   Walker M, 2019, J GEOL SOC INDIA, V93, P135, DOI 10.1007/s12594-019-1141-9
   Waller M, 2021, BIOL REV, V96, P408, DOI 10.1111/brv.12662
   Zagwijn W.H., 1986, Nederland in het Holoceen
   Zerbe S, 2013, ENVIRON MANAGE, V51, P1194, DOI 10.1007/s00267-013-0048-2
NR 53
TC 2
Z9 2
U1 1
U2 6
PU SAGE PUBLICATIONS LTD
PI LONDON
PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND
SN 0959-6836
EI 1477-0911
J9 HOLOCENE
JI Holocene
PD AUG
PY 2023
VL 33
IS 8
BP 960
EP 974
DI 10.1177/09596836231169985
EA MAY 2023
PG 15
WC Geography, Physical; Geosciences, Multidisciplinary
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Physical Geography; Geology
GA L0EC8
UT WOS:000985615400001
OA hybrid
DA 2025-01-10
ER

PT J
AU Ndungu, LW
   Kiema, JBK
   Siriba, DN
   Muthike, DM
   Ndungu, SW
AF Ndungu, Lilian Wangui
   Kiema, John Bosco Kyalo
   Siriba, David Nyangau
   Muthike, Denis Macharia
   Ndungu, Samuel Wamathai
TI A Forward Future-Based Approach to Optimizing Agriculture and Climate
   Change Adaptation in Lower Eastern Kenya
SO LAND
LA English
DT Article
DE AEZ; Kenya; agro-ecologies; lower eastern; adaptation; resilience;
   predictions; future; climate change
AB Kenya's vulnerability to climate variability and change has been compounded by dependence on rain-fed agriculture with constrained capacity to adapt, a rapidly growing population, low-mechanized and low-input smallholder agricultural systems, and compromised soil fertility. The Ukraine war, COVID-19 and the desert locust invasion have only amplified the prevailing sensitivity to shocks in the agriculture sector, creating an emphasis on the need to strengthen local agricultural production to reduce reliance on imports. This paper seeks to assess the opportunities for improving agriculture adaptation and resilience based on future expected changes in climate, length of the growing period and agro-ecologies. The study uses 2020 as the baseline year and explores changes in agro-ecological zones (AEZs) in "near future" 2040 through two representative concentration pathways, 4.5 and 8.5, representing a medium carbon emissions and a dire emissions future, respectively. Google Earth Engine and R Statistics are used in data-processing. Down-scaled climate projections from CIMP5 are used for future analyses combined with static soil suitability and drainage data. Fuzzy logic is used to normalize inputs and compute the agro-ecological zones (AEZ). Interesting results emerge from the study that validate the hypothesis that the seasons and production potential are shifting. Lowland drylands will experience an increasingly long growing period, creating the potential for diversifying production systems from rangelands to agro-pastoral systems, with the capacity to grow more drought-resistant crops and the potential to take advantage of increased runoff for water harvesting. Midland highland areas, which form part of the food basket areas, have already started experiencing a reduction in the length of the growing period and agricultural potential. In these areas, resilience mechanisms will need to consider the expected future reduction in rain-fed agricultural potential, gendered preferences, convergence of technology and indigenous coping mechanisms, and drought-resilience-focused diversification.
C1 [Ndungu, Lilian Wangui; Kiema, John Bosco Kyalo; Siriba, David Nyangau] Univ Nairobi, Dept Geospatial & Space Technol, POB 30197, Nairobi, Kenya.
   [Muthike, Denis Macharia] Univ Colorado, Mortenson Ctr Global Engn, Boulder, CO 80309 USA.
   [Ndungu, Samuel Wamathai] Kenyatta Univ, Sch Pure & Appl Sci, POB 43844 00100, Nairobi, Kenya.
C3 University of Nairobi; University of Colorado System; University of
   Colorado Boulder; Kenyatta University
RP Ndungu, LW (corresponding author), Univ Nairobi, Dept Geospatial & Space Technol, POB 30197, Nairobi, Kenya.
EM lw_ndungu@students.uonbi.ac.ke
RI Macharia, Denis/AAU-6073-2020
OI Muthike, Denis/0000-0002-1964-7301; Kiema, John/0009-0006-8113-6808
CR Abatzoglou JT, 2018, SCI DATA, V5, DOI 10.1038/sdata.2017.191
   African Union, 2020, DIGITAL TRANSFORMATI, V53
   Breisinger C., 2022, GLOBAL CRISIS COUNTR, P1
   Cairns JE, 2013, FOOD SECUR, V5, P345, DOI 10.1007/s12571-013-0256-x
   Eichsteller M, 2022, WORLD DEV, V149, DOI 10.1016/j.worlddev.2021.105705
   FAO, 2010, AN CLIM CHANG VAR RI
   FAO, 1996, FAO Soils Bulletin, V73
   FEWS NET, 2022, FEWSN FOOD SEC ASS
   Filho W.L., 2020, AFRICAN HDB CLIMATE, DOI [10.1007/978-3-030-42091-8, DOI 10.1007/978-3-030-42091-8]
   Hassan R, 2008, AFR J AGRIC RESOUR E, V2, P83
   Indeje M, 2006, J CLIMATE, V19, P1673, DOI 10.1175/JCLI3708.1
   Jaetzold R., 1983, FARM MANAGEMENT HDB, VII
   Jones CD, 2011, GEOSCI MODEL DEV, V4, P543, DOI 10.5194/gmd-4-543-2011
   Kogo BK, 2021, ENVIRON DEV SUSTAIN, V23, P23, DOI 10.1007/s10668-020-00589-1
   Macharia D, 2020, SUSTAINABILITY-BASEL, V12, DOI 10.3390/su12104102
   Monke E., 1996, AGR POLICY KENYA, P20, DOI [10.7591/9781501737442, DOI 10.7591/9781501737442]
   Nakalembe C, 2021, GLOB FOOD SECUR-AGR, V29, DOI 10.1016/j.gfs.2021.100543
   Ndungu N., 2022, E AFR AGR FORESTRY J
   Obwocha EB, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14020765
   Ojwang G.O., 2010, Analysis of Climate Change and Variability Risks in the Smallholder Sector; Case studies of the Laikipia and Narok Districts Representing Major Agro-Ecological Zones in Kenya
   Ongoma V, 2017, METEOROL ATMOS PHYS, V129, P131, DOI 10.1007/s00703-016-0462-0
   Ouma A, 2017, THESIS U NAIROBI NAI
   Pachauri R.K., 2007, IPCC 2007 CLIMATE CH, DOI [10.1256/004316502320517344, DOI 10.1256/004316502320517344]
   Patel N., 2003, SATELLITE REMOTE SEN, P213
   RCMRD, 2018, DOWNSC CLIM DAT RUN
   Silvestri S, 2012, REG ENVIRON CHANGE, V12, P791, DOI 10.1007/s10113-012-0293-6
   van Zyl JJ, 2001, ACTA ASTRONAUT, V48, P559, DOI 10.1016/S0094-5765(01)00020-0
   Xu CG, 2019, NAT CLIM CHANGE, V9, P948, DOI 10.1038/s41558-019-0630-6
NR 28
TC 0
Z9 0
U1 0
U2 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
J9 LAND-BASEL
JI Land
PD DEC
PY 2022
VL 11
IS 12
AR 2172
DI 10.3390/land11122172
PG 14
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA 7E5XP
UT WOS:000901240800001
OA gold
DA 2025-01-10
ER

PT J
AU Yuan, BZ
   Sun, J
AF Yuan, Bao-Zhong
   Sun, Jie
TI Bibliometric analysis of rice and climate change publications based on
   Web of Science
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID TOP PAPERS; SCIENTIFIC-RESEARCH; CATEGORY; TRENDS; CHINA; MITIGATION;
   MANAGEMENT; YIELDS
AB To clarify the current situation, hotspots, and development trends in the field of rice and climate change topic research, a massive literature dataset were analyzed from the Web of Science database by bibliometric method. The research theme was chosen given the continuous increase of studies related to climatic changes and their consequences to rice. Based on the Web of Science core database, this study analyzed 4170 papers in the field of rice and climate change topic research from 1990 to July 2022, which include 86 highly cited papers and 3 hot papers. Papers were mainly written in English (4157, 99.688%), from 16,363 authors, 4017 organizations, and 129 countries/territories, published in 841 journals and seven book series. The top five Journals are Science of the Total Environment (136, 3.261%), Sustainability (89, 2.134%), Agronomy Basel (81, 1.942%), Agricultural and Forest Meteorology (77, 1.847%), and Climatic Change (74, 1.775%), each published more than 74 papers. Top five countries and regions of People's Republic of China, the USA, India, Australia, and Japan were the major article contributors, each published more than 360 papers. Top five organizations of Chinese Acad Sci, Nanjing Agr Univ, Univ Chinese Acad Sci, Chinese Acad Agr Sci, and Int Rice Res Inst (IRRI) were popular based on contribution of articles more than 133 papers each. Among the all authors, top five authors were Tao Fulu, Pan Genxing, Zhang Zhao, Hasegawa Toshihiro, and Iizumi Toshichika, each published more than thirty papers. All keywords were separated into eight clusters for different research topics. Visualizations offer exploratory information on the current state in a scientific field or discipline as well as indicate possible developments in the future. The results will help researchers clarify the current situation in rice and climate change adaptation science but also provide guidance for future research. This work is also useful for student identifying graduate schools and researchers selecting journals.
C1 [Yuan, Bao-Zhong] Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Hubei, Peoples R China.
   [Sun, Jie] Lib Huazhong Agr Univ, Wuhan 430070, Hubei, Peoples R China.
C3 Huazhong Agricultural University
RP Yuan, BZ (corresponding author), Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan 430070, Hubei, Peoples R China.
EM yuanbz@mail.hzau.edu.cn
OI Yuan, Bao-Zhong/0000-0003-2353-3873
FU Hubei Agricultural Science and Technology Innovation Center Program
   [2021-620-000-001-032]
FX This research was funded by Hubei Agricultural Science and Technology
   Innovation Center Program (2021-620-000-001-032).
CR Aleixandre-Benavent R, 2017, J CLEAN PROD, V147, P406, DOI 10.1016/j.jclepro.2017.01.112
   Badaluddin NA, 2021, WATER AIR SOIL POLL, V232, DOI 10.1007/s11270-021-05218-9
   Bartol T, 2015, J NAT FIBERS, V12, P531, DOI 10.1080/15440478.2014.972000
   Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/nclimate2153, 10.1038/NCLIMATE2153]
   Clarivate, 2022, Journal Citation Reports TM 2021
   Clarivate, 2022, ESS SCI IND HELP ESS
   Elango B, 2018, COLLNET J SCIENTOMET, V12, P289, DOI 10.1080/09737766.2018.1529125
   Fu HZ, 2011, SCIENTOMETRICS, V88, P841, DOI 10.1007/s11192-011-0416-8
   Gimenez E, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10020391
   Hirsch JE, 2005, P NATL ACAD SCI USA, V102, P16569, DOI 10.1073/pnas.0507655102
   Hu CX, 2018, CURR SCI INDIA, V114, P2445, DOI 10.18520/cs/v114/i12/2445-2452
   Huang L, 2020, ENVIRON SCI POLLUT R, V27, P8740, DOI 10.1007/s11356-019-07489-6
   JANSEN DM, 1990, NETH J AGR SCI, V38, P661
   Kane DA, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0155788
   Khan Ayyaz, 2020, Discoveries (Craiova), V8, pe109, DOI 10.15190/d.2020.6
   Kingra PK, 2019, INDIAN J AGR SCI, V89, P171
   Leal KB, 2022, NAT HAZARDS, V114, P1455, DOI 10.1007/s11069-022-05432-6
   Li JF, 2011, GLOBAL PLANET CHANGE, V77, P13, DOI 10.1016/j.gloplacha.2011.02.005
   Li XT, 2018, American Journal of Agriculture and Forestry, V6, P44, DOI DOI 10.11648/J.AJAF.20180603.12
   Lima CO, 2020, NAT HAZARDS, V102, P1589, DOI 10.1007/s11069-020-03974-1
   Liu B, 2017, CURR SCI INDIA, V112, P1003, DOI 10.18520/cs/v112/i05/1003-1011
   Liu WS, 2015, SCIENTOMETRICS, V102, P503, DOI 10.1007/s11192-014-1371-y
   Lobell DB, 2011, SCIENCE, V333, P616, DOI [10.1126/science.1206376, 10.1126/science.1204531]
   Morita S, 2016, PLANT PROD SCI, V19, P1, DOI 10.1080/1343943X.2015.1128114
   Morooka K, 2014, SCIENTOMETRICS, V98, P73, DOI 10.1007/s11192-013-1119-0
   Murphy T, 2013, CLIM DEV, V5, P77, DOI 10.1080/17565529.2013.771570
   Omoregbe O, 2020, ENERGY REP, V6, P1200, DOI 10.1016/j.egyr.2020.05.003
   Pan XY, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030223
   Peng SB, 2004, P NATL ACAD SCI USA, V101, P9971, DOI 10.1073/pnas.0403720101
   Peng SB, 2017, J INTEGR AGR, V16, P2726, DOI 10.1016/S2095-3119(17)61804-5
   Rana IA, 2020, INT J DISAST RISK RE, V50, DOI 10.1016/j.ijdrr.2020.101839
   Ray DK, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6989
   Ray DK, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms2296
   Ruddiman WF, 2003, CLIMATIC CHANGE, V61, P261, DOI 10.1023/B:CLIM.0000004577.17928.fa
   Santillán-Fernández A, 2021, AGRICULTURE-BASEL, V11, DOI 10.3390/agriculture11030246
   Schneider P, 2020, J AGRON CROP SCI, V206, P491, DOI 10.1111/jac.12415
   Senguttuvel P, 2022, ARCH AGRON SOIL SCI, V68, P115, DOI 10.1080/03650340.2020.1826041
   Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184
   Stopar K, 2021, J NAT FIBERS, V18, P547, DOI 10.1080/15440478.2019.1636742
   Sun J, 2020, ANN LIBR INF STUD, V67, P56, DOI 10.56042/alis.v67i1.30297
   Sun J, 2020, ANN LIBR INF STUD, V67, P90, DOI 10.56042/alis.v67i2.30564
   Sun J, 2021, AGRON J, V113, P2184, DOI 10.1002/agj2.20628
   Sun J, 2020, MALAYS J LIBR INF SC, V25, P61, DOI 10.22452/mjlis.vol25no2.4
   Sun J, 2020, CURR SCI INDIA, V119, P438, DOI 10.18520/cs/v119/i3/438-446
   Sun J, 2019, CURR SCI INDIA, V117, P1449, DOI 10.18520/cs/v117/i9/1449-1458
   Sweileh WM, 2020, GLOBALIZATION HEALTH, V16, DOI 10.1186/s12992-020-00576-1
   Tang M, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10051655
   VAN ECK N.J., 2022, MANUAL VOSVIEWER VER
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Velasco-Muñoz JF, 2018, SUSTAINABILITY-BASEL, V10, DOI 10.3390/su10041084
   Velasco-Muñoz JF, 2018, WATER-SUI, V10, DOI 10.3390/w10040377
   Wang B, 2014, NAT HAZARDS, V74, P1649, DOI 10.1007/s11069-014-1260-y
   Wang YP, 2019, WATER-SUI, V11, DOI 10.3390/w11010020
   Wang ZH, 2018, J CLEAN PROD, V199, P1072, DOI 10.1016/j.jclepro.2018.06.183
   Weaver SC, 2010, ANTIVIR RES, V85, P328, DOI 10.1016/j.antiviral.2009.10.008
   Wei YM, 2015, OMEGA-INT J MANAGE S, V57, P70, DOI 10.1016/j.omega.2014.10.011
   White-Gibson A, 2019, IRISH J MED SCI, V188, P155, DOI 10.1007/s11845-018-1818-x
   Yuan BZ, 2021, J BERRY RES, V11, P721, DOI 10.3233/JBR-210741
   Yuan BZ, 2022, J NAT FIBERS, V19, P7579, DOI 10.1080/15440478.2021.1952139
   Yuan BZ, 2021, HORTSCIENCE, V56, P867, DOI 10.21273/HORTSCI15827-21
   Yuan BZ, 2020, MAYDICA, V65
   Yuan BZ, 2020, COLLNET J SCIENTOMET, V14, P75, DOI 10.1080/09737766.2020.1787110
   Yuan BZ, 2019, COLLNET J SCIENTOMET, V13, P269, DOI 10.1080/09737766.2020.1716643
   Zafar SA, 2018, J INTEGR AGR, V17, P726, DOI [10.1016/S2095-3119(17)61718-0, 10.1016/s2095-3119(17)61718-0]
   Zhang YJ, 2021, ENVIRON SCI POLLUT R, V28, P26427, DOI 10.1007/s11356-021-12448-1
NR 65
TC 6
Z9 6
U1 4
U2 30
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 OCT
PY 2022
VL 150
IS 1-2
BP 347
EP 362
DI 10.1007/s00704-022-04169-3
EA AUG 2022
PG 16
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA 4Q8RG
UT WOS:000838522000003
DA 2025-01-10
ER

PT J
AU Wiener, S
   Roesch-McNally, GE
   Schattman, RE
   Niles, MT
AF Wiener, S.
   Roesch-McNally, G. E.
   Schattman, R. E.
   Niles, M. T.
TI Ready, willing, and able? USDA field staff as climate advisors
SO JOURNAL OF SOIL AND WATER CONSERVATION
LA English
DT Article
DE agricultural advisor; climate change adaptation; extreme weather; Farm
   Service Agency; Natural Resources Conservation Service; weather and
   climate tools
ID CHANGE BELIEFS; AGRICULTURAL ADVISERS; UNDERSTANDING FARMER; RISK
   PERCEPTIONS; INFORMATION; ADAPTATION; CAPACITY; DROUGHT; VIEWS
AB Natural resource advisors operate at a natural resource-climate nexus that presents opportunity for utilization of regionally relevant climate science and tools to support climate smart decision making among land managers. This opportunity, however, may be underutilized. In thousands of county offices across the country, USDA field staff with the Natural Resources Conservation Service (NRCS) and Farm Service Agency (FSA) interface with farmers on a daily basis to provide conservation technical assistance, farm loans, and disaster recovery assistance. In this study, we conducted a survey of NRCS field staff (n = 1,893) and a similar survey of FSA field staff (n = 4,621) to determine the following: (1) how concerned USDA field staff are with both general and specific climate and weather threats and their effect on agriculture and forestry, (2) what available climate and weather resources staff are currently using, (3) how these factors relate to USDA field staff 's confidence and interest in playing the role of climate advisor, and (4) the differences that exist between NRCS and FSA field staff related to these research questions. We found that many USDA field staff are concerned about climate change in general and about several specific impacts, but fewer are confident in their ability to support land managers in addressing these impacts. Additionally, increased concern about climate threats was related to higher levels of climate and weather resource use and an increased desire to play the role of climate advisor, but was also related to lower levels of self-reported ability to play that role. These findings can be used to inform appropriate application of professional development opportunities and creation of tools and resources to improve professional uses of weather and climate information.
C1 [Wiener, S.] US Forest Serv, USDA, Southeast Climate Hub, Raleigh, NC 27604 USA.
   [Roesch-McNally, G. E.] Amer Farmland Trust, Woman Land Initiat, Corvallis, OR USA.
   [Schattman, R. E.] US Forest Serv, USDA, Northeast Climate Hub, Burlington, VT USA.
   [Schattman, R. E.] Univ Vermont Extens, Burlington, VT USA.
   [Niles, M. T.] Univ Vermont, Food Syst Program, Burlington, VT USA.
   [Niles, M. T.] Univ Vermont, Dept Nutr & Food Sci, Burlington, VT USA.
C3 United States Department of Agriculture (USDA); United States Forest
   Service; United States Department of Agriculture (USDA); United States
   Forest Service; University of Vermont; University of Vermont
RP Wiener, S (corresponding author), US Forest Serv, USDA, Southeast Climate Hub, Raleigh, NC 27604 USA.
RI Schattman, Rachel/AAX-4080-2020
OI Schattman, Rachel/0000-0001-7177-3914
FU USDA Climate Hubs
FX The authors of this study would like to acknowledge the valuable input
   from Mary Carey (former USDA Farm Service Agency [FSA] liaison to the
   Northeast Climate Hub, Washington, DC) and Rich Iovanna (senior
   agricultural economist, Washington, DC) of the FSA, and Mike Wilson
   (senior scientist, Lincoln, Nebraska), Lynn K. Knight (agricultural
   economist and co-director of the Northeast Climate Hub, Milton,
   Vermont), and Daniel Dostie (state resource conservationist, Harrisburg,
   Pennsylvania) of USDA Natural Resources Conservation Service (NRCS). We
   would also like to acknowledge the USDA Climate Hubs for their support
   of this research, and the NRCS and FSA employees who took the time to
   respond to our survey. Finally, we are grateful to the editorial staff
   at the Journal of Soil and Water Conservation, and to the two anonymous
   reviewers who provided thoughtful feedback on this manuscript.
CR American Association for Public Opinion Research (AAPOR), 2016, SURV OUTC RAT CALC 4
   [Anonymous], 2010, J EXT
   [Anonymous], NATL SURVEY USDA FIE
   [Anonymous], 2014, Internet, phone, mail, and mixed-mode surveys: The tailored design method, DOI DOI 10.1002/9781394260645
   [Anonymous], 2014, 2012 Census of Agriculture
   Arbuckle JG Jr, 2015, ENVIRON BEHAV, V47, P205, DOI 10.1177/0013916513503832
   Bartels WL, 2013, REG ENVIRON CHANGE, V13, pS45, DOI 10.1007/s10113-012-0371-9
   Beier P, 2017, CONSERV LETT, V10, P288, DOI 10.1111/conl.12300
   Borrelli KA, 2018, J EXT, V56
   Breuer NE., 2011, J Service Climatol, V5, P1
   Carlton JS, 2016, CLIMATIC CHANGE, V135, P211, DOI 10.1007/s10584-015-1561-5
   Chatrchyan AM, 2017, WIRES CLIM CHANGE, V8, DOI 10.1002/wcc.469
   Church SP, 2018, AGR HUM VALUES, V35, P349, DOI 10.1007/s10460-017-9827-3
   Fraisse C. W., 2009, Journal of Extension, V47, p2FEA9
   Haigh T, 2015, WEATHER CLIM SOC, V7, P83, DOI 10.1175/WCAS-D-14-00015.1
   Hartnoll SA, 2018, HOLOGRAPHIC QUANTUM MATTER, P1
   Hibbs A. C., 2014, Journal of Extension, V52, p3FEA2
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Marx SM, 2007, GLOBAL ENVIRON CHANG, V17, P47, DOI 10.1016/j.gloenvcha.2006.10.004
   Mase AS, 2017, CLIM RISK MANAG, V15, P8, DOI 10.1016/j.crm.2016.11.004
   MORRIS L, 2014, J EXTENSION, V52
   Morton LW, 2017, J SOIL WATER CONSERV, V72, P215, DOI 10.2489/jswc.72.3.215
   Norgaard K., 2011, OXFORD HDB CLIMATE C, P399
   NRCS (Natural Resources Conservation Service), 2017, WINTR 20 WAT HYDR
   O'Neill S, 2009, SCI COMMUN, V30, P355, DOI 10.1177/1075547008329201
   Prokopy LS, 2015, B AM METEOROL SOC, V96, P181, DOI 10.1175/BAMS-D-13-00172.1
   Prokopy LS, 2015, CLIMATIC CHANGE, V130, P261, DOI 10.1007/s10584-015-1339-9
   Prokopy LS, 2013, WEATHER CLIM SOC, V5, P162, DOI 10.1175/WCAS-D-12-00036.1
   Randall R., 2009, Ecopsychology, V1, P118, DOI [10.1089/eco.2009.0034, DOI 10.1089/ECO.2009.0034]
   Roesch-McNally GE, 2019, ADDRESSING CLIMATE C, P180
   Schattman RE, 2018, AGROECOL SUST FOOD, V42, P121, DOI 10.1080/21683565.2017.1357667
   Stuart D, 2018, LAND USE POLICY, V70, P289, DOI 10.1016/j.landusepol.2017.10.047
   Templeton SR, 2014, REG ENVIRON CHANGE, V14, P645, DOI 10.1007/s10113-013-0522-7
   USDA FSA, 2018, 2016 ARC PLC PAYM ST
   USDA NRCS, 2018, PEOPLE
   USDA-NRCS, 2018, ENV QUAL INC PROGR
   Wojcik DeborahJ., 2014, Journal of Human Sciences and Extension, V2, P51
   Wuebbles D. J., 2017, Climate science special report: Fourth national climate assessment, VI
NR 38
TC 4
Z9 4
U1 1
U2 4
PU SOIL WATER CONSERVATION SOC
PI ANKENY
PA 945 SW ANKENY RD, ANKENY, IA 50023-9723 USA
SN 0022-4561
EI 1941-3300
J9 J SOIL WATER CONSERV
JI J. Soil Water Conserv.
PD JAN-FEB
PY 2020
VL 75
IS 1
BP 62
EP 74
DI 10.2489/jswc.75.1.62
PG 13
WC Ecology; Soil Science; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Agriculture; Water Resources
GA JY4TJ
UT WOS:000504409100009
OA Bronze
DA 2025-01-10
ER

PT J
AU Sordo-Ward, A
   Granados, A
   Iglesias, A
   Garrote, L
   Bejarano, MD
AF Sordo-Ward, Alvaro
   Granados, Alfredo
   Iglesias, Ana
   Garrote, Luis
   Dolores Bejarano, Maria
TI Adaptation Effort and Performance of Water Management Strategies to Face
   Climate Change Impacts in Six Representative Basins of Southern Europe
SO WATER
LA English
DT Article
DE water management; water availability; climate change; southern Europe;
   agriculture; WAAPA model
ID UNCERTAINTY; MODELS; PROJECTIONS; IRRIGATION; GENERATION; RESOURCES;
   SCENARIOS; TRENDS
AB We evaluated different management alternatives to enhance potential water availability for agriculture under climate change scenarios. The management goal involved maximizing potential water availability, understood as the maximum volume of water supplied at a certain point of the river network that satisfies a defined demand, and taking into account specified reliability requirements. We focused on potential water availability for agriculture and assumed two types of demands: urban supply and irrigation. If potential water availability was not enough to satisfy all irrigation demands, management measures were applied aiming at achieving a compromise solution between resources and demands. The methodological approach consisted of estimation and comparison of runoff for current and future period under climate change effects, calculation of water availability changes due to changes in runoff, and evaluation of the adaptation choices that can modify the distribution of water availability, under climate change. Adaptation choices include modifying water allocation to agriculture, increasing the reservoir storage capacity, improving the efficiency of urban water use, and modifying water allocation to environmental flows. These management measures were evaluated at the desired points of the river network by applying the Water Availability and Adaptation Policy Analysis (WAAPA) model. We simulated the behavior of a set of reservoirs that supply water for a set of prioritized demands, complying with specified ecological flows and accounting for evaporation losses. We applied the methodology in six representative basins of southern Europe: Duero-Douro, Ebro, Guadalquivir, Po, Maritsa-Evros, and Struma-Strymon. While in some basins, such as the Ebro or Struma-Strymon, measures can significantly increase water availability and compensate for a fraction of water scarcity due to climate change, in other basins, like the Guadalquivir, water availability cannot be enhanced by applying the management measures analyzed, and irrigation water use will have to be reduced.
C1 [Sordo-Ward, Alvaro; Granados, Alfredo; Garrote, Luis] Univ Politecn Madrid, Dept Ingn Civil Hidraul Energia & Medio Ambiente, E-28040 Madrid, Spain.
   [Iglesias, Ana] Univ Politecn Madrid, Dept Econ Agr Estadist & Gest Empresas, E-28040 Madrid, Spain.
   [Iglesias, Ana] Univ Politecn Madrid, CEIGRAM, E-28040 Madrid, Spain.
   [Dolores Bejarano, Maria] Univ Politecn Madrid, Dept Recursos & Sistemas Nat, E-28040 Madrid, Spain.
C3 Universidad Politecnica de Madrid; Universidad Politecnica de Madrid;
   Universidad Politecnica de Madrid; Centro de Estudios e Investigacion
   para la Gestion de Riesgos Agrarios Medioambientales CEIGRAM;
   Universidad Politecnica de Madrid
RP Garrote, L (corresponding author), Univ Politecn Madrid, Dept Ingn Civil Hidraul Energia & Medio Ambiente, E-28040 Madrid, Spain.
EM alvaro.sordo.ward@upm.es; a.granados@upm.es; ana.iglesias@upm.es;
   l.garrote@upm.es; mariadolores.bejarano@upm.es
RI Granados, Alfredo/AAA-6648-2019; Sordo-Ward, Alvaro/AAS-2893-2020;
   Bejarano, Maria/M-5032-2015; Iglesias, Ana/AEN-3261-2022; Garrote,
   Luis/B-5925-2013
OI Bejarano, Maria Dolores/0000-0002-5180-4442; Garrote,
   Luis/0000-0001-9087-3638; Granados, Alfredo/0000-0002-9369-9281; SORDO
   WARD, ALVARO FRANCISCO/0000-0002-9186-8395
FU Universidad Politecnica de Madrid through the "Programa propio: ayudas a
   proyectos de I+D de investigadores posdoctorales"; "ADAPTA" project;
   European Commission BASE project of the 7th Framework Program
   [ENV-308337]; Spanish Ministry of Economy, Industry, and Competitiveness
   [IJCI-2016-29157]
FX This research was partially funded by Universidad Politecnica de Madrid
   through the "Programa propio: ayudas a proyectos de I+D de
   investigadores posdoctorales" and the "ADAPTA" project. We also
   acknowledge the financial support of the European Commission BASE
   project (grant agreement no.: ENV-308337) of the 7th Framework Program
   (http://base-adaptation.eu). Finally, we acknowledge the Spanish
   Ministry of Economy, Industry, and Competitiveness for financial support
   of M.D. Bejarano through the National Research Program Juan de la Cierva
   (Ref. IJCI-2016-29157).
CR Abbaspour KC, 2015, J HYDROL, V524, P733, DOI 10.1016/j.jhydrol.2015.03.027
   Alcamo J, 2007, HYDROLOG SCI J, V52, P247, DOI 10.1623/hysj.52.2.247
   Annandale G., 2013, QUENCHING THIRST SUS
   [Anonymous], 2014, World Population and Human Capital in The TwentyFirst Century Internet
   [Anonymous], 2009, GLOBAL HYDROLOGICAL
   [Anonymous], 2019, ECOL APPL
   Arnell NW, 2011, GLOBAL ENVIRON CHANG, V21, P592, DOI 10.1016/j.gloenvcha.2011.01.015
   Bejarano MD, 2019, J HYDROL, V572, P790, DOI 10.1016/j.jhydrol.2019.03.048
   Bouwer LM, 2013, RISK ANAL, V33, P915, DOI 10.1111/j.1539-6924.2012.01880.x
   Center for International Earth Science Information Network, 2000, SRES FIN DAT VERS 1
   Chavez-Jimenez A, 2013, WATER RESOUR MANAG, V27, P4237, DOI 10.1007/s11269-013-0404-2
   Christensen JH, 2007, CLIMATIC CHANGE, V81, P1, DOI 10.1007/s10584-006-9211-6
   CIESIN, 2000, GLOB URB RUR MAPP PR
   Déqué M, 2012, CLIM DYNAM, V38, P951, DOI 10.1007/s00382-011-1053-x
   Dinar A, 2011, HANDBOOK ON CLIMATE CHANGE AND AGRICULTURE, P1
   Döll P, 2000, ICID J, V49, P55
   Döll P, 2002, CLIMATIC CHANGE, V54, P269, DOI 10.1023/A:1016124032231
   EEA, 2021, 12021 EEA
   Elmer F, 2012, NAT HAZARD EARTH SYS, V12, P1641, DOI 10.5194/nhess-12-1641-2012
   EROS USGS, 2008, HYDRO1K EL DER DAT
   Fekete BM, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI 10.1029/1999GB001254
   Field C.B., 2017, CLIMATE CHANGE 2014, P1
   Forzieri G, 2014, HYDROL EARTH SYST SC, V18, P85, DOI 10.5194/hess-18-85-2014
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Ganoulis J, 2011, NATO SCI PEACE SECUR, P87, DOI 10.1007/978-94-007-1143-3_10
   Gao JG, 2019, J HYDROL, V568, P551, DOI 10.1016/j.jhydrol.2018.10.041
   Garrote L, 2017, WATER RESOUR MANAG, V31, P2951, DOI 10.1007/s11269-017-1714-6
   González-Zeas D, 2012, HYDROL EARTH SYST SC, V16, P1709, DOI 10.5194/hess-16-1709-2012
   Gudmundsson L, 2012, J HYDROMETEOROL, V13, P604, DOI 10.1175/JHM-D-11-083.1
   Hewitt C.D., 2004, EOS T AM GEOPHYS UN, V85, P566, DOI [10.1029/2004EO520005, DOI 10.1029/2004EO520005]
   Iglesias A, 2015, AGR WATER MANAGE, V155, P113, DOI 10.1016/j.agwat.2015.03.014
   Logar I, 2013, WATER RESOUR MANAG, V27, P1707, DOI 10.1007/s11269-012-0119-9
   Milly PCD, 2005, NATURE, V438, P347, DOI 10.1038/nature04312
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771
   Nazemi A, 2014, ADV WATER RESOUR, V63, P131, DOI 10.1016/j.advwatres.2013.11.009
   Prudhomme C, 2011, J HYDROMETEOROL, V12, P1181, DOI 10.1175/2011JHM1387.1
   Pulido-Velazquez D, 2011, J HYDROL, V405, P110, DOI 10.1016/j.jhydrol.2011.05.014
   Rosenzweig C, 2004, GLOBAL ENVIRON CHANG, V14, P345, DOI 10.1016/j.gloenvcha.2004.09.003
   Shiklomanov I A., 2004, World water resources at the beginning of the twenty-first century, P417
   Skoulikaris Ch., 2017, WATER UTILITY J, V16, P7
   Sordo-Ward A, 2016, WATER RESOUR MANAG, V30, P5535, DOI 10.1007/s11269-016-1505-5
   SORDOWARD A, 2019, WATER-SUI, V11, DOI DOI 10.3390/W11030420
   Stahl K, 2012, HYDROL EARTH SYST SC, V16, P2035, DOI 10.5194/hess-16-2035-2012
   Steinschneider S, 2015, HYDROL PROCESS, V29, P2823, DOI 10.1002/hyp.10409
   Vörösmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440
   Warszawski L, 2014, P NATL ACAD SCI USA, V111, P3228, DOI 10.1073/pnas.1312330110
NR 47
TC 25
Z9 25
U1 3
U2 26
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
J9 WATER-SUI
JI Water
PD MAY
PY 2019
VL 11
IS 5
AR 1078
DI 10.3390/w11051078
PG 21
WC Environmental Sciences; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Water Resources
GA IE9FN
UT WOS:000472680400208
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Day, E
   Fankhauser, S
   Kingsmill, N
   Costa, H
   Mavrogianni, A
AF Day, Ed
   Fankhauser, Sam
   Kingsmill, Nick
   Costa, Helia
   Mavrogianni, Anna
TI Upholding labour productivity under climate change: an assessment of
   adaptation options
SO CLIMATE POLICY
LA English
DT Article
DE Heat stress; heat and labour productivity; climate change adaptation;
   climate-resilient development
ID HEAT-STRESS; TEMPERATURE; HEALTH; GREEN; ADELAIDE; EXPOSURE; IMPACTS;
   ILLNESS; TRENDS; GROWTH
AB Changes in labour productivity feed through directly to national income. An external shock, like climate change, which may substantially reduce the productivity of workers is therefore a macroeconomic concern. The biophysical impact of higher temperatures on human performance is well documented. Less well understood are the wider effects of higher temperatures on the aggregate productivity of modern, diversified economies, where economic output is produced in contexts ranging from outdoor agriculture to work in air-conditioned buildings. Working conditions are at least to some extent the result of societal choices, which means that the labour productivity effects of heat can be alleviated through careful adaptation. A range of technical, regulatory/infrastructural and behavioural options are available to individuals, businesses and governments. The importance of local contexts prevents a general ranking of the available measures, but many appear cost-effective. Promising options include the optimization of working hours and passive cooling mechanisms. Climate-smart urban planning and adjustments to building design are most suitable to respond to high base temperature, while air conditioning can respond flexibly to short temperature peaks if there is sufficient cheap, reliable and clean electricity. Key policy insights The effect of heat stress on labour productivity is a key economic impact of climate change, which could affect national output and workers' income. Effective adaptation options exist, such as shifting working hours and cool roofs, but they require policy intervention and forward planning. Strategic interventions, such as climate-smart municipal design, are as important as reactive or project-level adaptations. Adaptation solutions to heat stress are highly context specific and need to be assessed accordingly. For example, shifting working hours could be an effective way of reducing the effect of peak temperatures, but only if there is sufficient flexibility in working patterns.
C1 [Day, Ed; Fankhauser, Sam; Kingsmill, Nick] Vivid Econ, London, England.
   [Fankhauser, Sam] London Sch Econ, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England.
   [Fankhauser, Sam] London Sch Econ, CCCEP, Houghton St, London WC2A 2AE, England.
   [Costa, Helia] Toulouse Sch Econ, Dept Econ, Toulouse, France.
   [Mavrogianni, Anna] UCL, Bartlett Fac Built Environm, Inst Environm Design & Engn, London, England.
C3 University of London; London School Economics & Political Science;
   University of London; London School Economics & Political Science;
   Universite de Toulouse; Universite Toulouse 1 Capitole; Toulouse School
   of Economics; University of London; University College London
RP Fankhauser, S (corresponding author), London Sch Econ, Grantham Res Inst Climate Change & Environm, Houghton St, London WC2A 2AE, England.; Fankhauser, S (corresponding author), London Sch Econ, CCCEP, Houghton St, London WC2A 2AE, England.
EM s.fankhauser@lse.ac.uk
OI Costa, Helia/0000-0002-7949-1185; Fankhauser,
   Samuel/0000-0003-2100-7888; Mavrogianni, Anna/0000-0002-5104-1238
FU UK Department for International Development under its Research for
   Development (R4D) programme; European Community's 7th Framework Program
   [308497]; Grantham Foundation for the Protection of the Environment; UK
   Economic and Social Research Council (ESRC) through the Centre for
   Climate Change Economics and Policy [ES/K006576/1]; ESRC [ES/K006576/1]
   Funding Source: UKRI
FX This research was supported by the UK Department for International
   Development under its Research for Development (R4D) programme. We are
   grateful to Jonathan Beynon, Siddhartha Haria, Jisung Park, Stephanie
   Trinci, Rosalind West and three anonymous referees. At the time of
   writing the paper Costa was supported by the European Community's 7th
   Framework Program under Grant Agreement No. 308497 (RAMSES). Fankhauser
   acknowledges funding from the Grantham Foundation for the Protection of
   the Environment and the UK Economic and Social Research Council (ESRC)
   [grant number ES/K006576/1] through the Centre for Climate Change
   Economics and Policy. The views expressed do not necessarily reflect the
   UK government's official policies.
CR Adhvaryu A., 2016, LIGHT HEAT PRO UNPUB
   Alfano FRD, 2012, ANN OCCUP HYG, V56, P1063, DOI 10.1093/annhyg/mes036
   [Anonymous], 2016, EC CLIMATE RESILIENT
   [Anonymous], 2016, JAPAN TIMES
   [Anonymous], 2014, The American Climate Prospectus: Economics Risks in the United States
   Banting D., 2005, Report on the Environmental Benefits and Costs of Green Roof Technology for the City of Toronto
   Bosworth B, 2008, J ECON PERSPECT, V22, P45, DOI 10.1257/jep.22.1.45
   Burke M, 2015, NATURE, V527, P235, DOI 10.1038/nature15725
   Cachon G.P., 2012, Severe weather and automobile assembly productivity, DOI [DOI 10.2139/SSRN.2099798, 10.2139/ssrn.2099798]
   Claus K, 2012, URBAN FOR URBAN GREE, V11, P417, DOI 10.1016/j.ufug.2012.07.003
   Costa H., 2016, 248 GRANTH RES I CLI
   DARA & Climate Vulnerable Forum, 2012, CLIM VULN MON GUID C
   Dunne JP, 2013, NAT CLIM CHANGE, V3, P563, DOI 10.1038/NCLIMATE1827
   Epstein Y, 2006, IND HEALTH, V44, P388, DOI 10.2486/indhealth.44.388
   Evans-Lacko S, 2016, SOC PSYCH PSYCH EPID, V51, P1525, DOI 10.1007/s00127-016-1278-4
   Fankhauser S, 1999, ECOL ECON, V30, P67, DOI 10.1016/S0921-8009(98)00117-7
   Fankhauser S, 2017, ANNU REV RESOUR ECON, V9, P209, DOI 10.1146/annurev-resource-100516-033554
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Foster Josh., 2011, VALUE GREEN INFRASTR
   Goetzel RZ, 2004, J OCCUP ENVIRON MED, V46, P398, DOI 10.1097/01.jom.0000121151.40413.bd
   Government of India, 2016, GAZ INDIA EXTRAORDIN, P1
   Government of Norway, 2017, GOVT STAFF MAN 2017
   Haines A, 2006, LANCET, V367, P2101, DOI [10.1016/S0140-6736(06)68933-2, 10.1016/j.puhe.2006.01.002]
   Hallegatte S., 2016, SHOCK WAVES MANAGING, DOI [DOI 10.1596/978-1-4648-0673-5, 10.1596/978-1-4648-0673-5_fm]
   Harrington JM, 2001, OCCUP ENVIRON MED, V58, P68, DOI 10.1136/oem.58.1.68
   Hatvani-Kovacs G, 2016, ECOHEALTH, V13, P100, DOI 10.1007/s10393-015-1085-5
   Heal G, 2016, REV ENV ECON POLICY, V10, P347, DOI 10.1093/reep/rew007
   Heal Geoffrey., 2013, FEELING HEAT TEMPERA
   Houser Trevor., 2014, American Climate Prospectus Economic ? Risks in the United States
   Hsiang SM, 2010, P NATL ACAD SCI USA, V107, P15367, DOI 10.1073/pnas.1009510107
   Jackson LL, 2010, J AGROMEDICINE, V15, P200, DOI 10.1080/1059924X.2010.487021
   Jorgenson DW, 2008, J ECON PERSPECT, V22, P3, DOI 10.1257/jep.22.1.3
   Kjellstrom T., 2014, 20144 RUB COAST RES
   Kjellstrom T, 2016, ANNU REV PUBL HEALTH, V37, P97, DOI 10.1146/annurev-publhealth-032315-021740
   Kjellstrom T, 2013, IND HEALTH, V51, P56, DOI 10.2486/indhealth.2012-0174
   Kjellstrom T, 2009, ARCH ENVIRON OCCUP H, V64, P217, DOI 10.1080/19338240903352776
   Kocornik-Mina A., 2015, POLICY BRIEF
   Kovats S., 2011, IMPACTS EC COSTS HLT
   Lemke B, 2012, IND HEALTH, V50, P267, DOI 10.2486/indhealth.MS1352
   Lundgren K, 2013, SUSTAINABILITY-BASEL, V5, P3116, DOI 10.3390/su5073116
   NAG A, 1992, AM IND HYG ASSOC J, V53, P751, DOI 10.1202/0002-8894(1992)053<0751:HSOWDM>2.0.CO;2
   NCE, 2014, CIT GLOB COMM EC CLI
   Niemelä R, 2002, ENERG BUILDINGS, V34, P759, DOI 10.1016/S0378-7788(02)00094-4
   Park J., 2016, WILL WE ADAPT UNPUB
   Riley K, 2012, NEW SOLUT, V22, P297, DOI 10.2190/NS.22.3.e
   Rosenzweig C., 2006, 59 COL U NASA GODD I
   Roson R, 2016, J GLOB ECON ANAL, V1, P78, DOI 10.21642/JGEA.010202AF
   Sahu S, 2013, IND HEALTH, V51, P424, DOI 10.2486/indhealth.2013-0006
   Seppanen O., 2006, 60946 LAW BERK NAT L
   Sherwood SC, 2010, P NATL ACAD SCI USA, V107, P9552, DOI 10.1073/pnas.0913352107
   Sudarshan A., 2015, 1502 IND STAT I
   Susca T, 2011, ENVIRON POLLUT, V159, P2119, DOI 10.1016/j.envpol.2011.03.007
   UNDP, 2016, CLIM CHANG LAB IMP H
   van Ark B, 2008, J ECON PERSPECT, V22, P25, DOI 10.1257/jep.22.1.25
   Virk G, 2015, ENERG BUILDINGS, V88, P214, DOI 10.1016/j.enbuild.2014.11.039
   Vivid Economics, 2015, UND PATT CLIM RES DE
   Vivid Economics, 2017, IMP HIGH TEMP LAB PR
   WYNDHAM CH, 1969, ENVIRON RES, V2, P442, DOI 10.1016/0013-9351(69)90015-2
   Xiang JJ, 2014, ENVIRON RES, V133, P90, DOI 10.1016/j.envres.2014.04.042
   Zander KK, 2017, ENVIRON RES, V152, P272, DOI 10.1016/j.envres.2016.10.029
   Zander KK, 2015, NAT CLIM CHANGE, V5, P647, DOI [10.1038/NCLIMATE2623, 10.1038/nclimate2623]
   Zivin JG, 2014, J LABOR ECON, V32, P1, DOI 10.1086/671766
NR 62
TC 57
Z9 59
U1 1
U2 64
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 MAR 16
PY 2019
VL 19
IS 3
BP 367
EP 385
DI 10.1080/14693062.2018.1517640
PG 19
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA HH7ZB
UT WOS:000455949300008
OA Green Accepted, hybrid
DA 2025-01-10
ER

PT J
AU Zhang, Y
   Clauzel, C
   Li, J
   Xue, YD
   Zhang, YG
   Wu, GS
   Giraudoux, P
   Li, L
   Li, DQ
AF Zhang, Yu
   Clauzel, Celine
   Li, Jia
   Xue, Yadong
   Zhang, Yuguang
   Wu, Gongsheng
   Giraudoux, Patrick
   Li, Li
   Li, Diqiang
TI Identifying refugia and corridors under climate change conditions for
   the Sichuan snub-nosed monkey (<i>Rhinopithecus roxellana</i>) in Hubei
   Province, China
SO ECOLOGY AND EVOLUTION
LA English
DT Article
DE circuit theory; climate change adaptation; connectivity; golden
   snub-nosed monkey; habitat suitability; refuge
ID LAND-USE; LANDSCAPE CONNECTIVITY; POPULATION-STRUCTURE; NATURE-RESERVE;
   CONSERVATION; BIODIVERSITY; MANAGEMENT; DISPERSAL; SUITABILITY;
   EXTINCTION
AB Using a case study of an isolated management unit of Sichuan snub-nosed monkey (Rhinopithecus roxellana), we assess the extent that climate change will impact the species' habitat distribution in the current period and projected into the 2050s. We identify refugia that could maintain the population under climate change and determine dispersal paths for movement of the population to future suitable habitats. Hubei Province, China. We identified climate refugia and potential movements by integrating bioclimatic models with circuit theory and least-cost model for the current period (1960-1990) and the 2050s (2041-2060). We coupled a maximum entropy algorithm to predict suitable habitat for the current and projected future periods. Suitable habitat areas that were identified during both time periods and that also satisfied home range and dispersal distance conditions were delineated as refugia. We mapped potential movements measured as current flow and linked current and future habitats using least-cost corridors. Our results indicate up to 1,119km(2) of currently suitable habitat within the study range. Based on our projections, a habitat loss of 67.2% due to climate change may occur by the 2050s, resulting in a reduced suitable habitat area of 406km(2) and very little new habitat. The refugia areas amounted to 286km(2) and were located in Shennongjia National Park and Badong Natural Reserve. Several connecting corridors between the current and future habitats, which are important for potential movements, were identified. Our assessment of the species predicted a trajectory of habitat loss following anticipated future climate change. We believe conservation efforts should focus on refugia and corridors when planning for future species management. This study will assist conservationists in determining high-priority regions for effective maintenance of the endangered population under climate change and will encourage increased habitat connectivity.
C1 [Zhang, Yu; Li, Jia; Xue, Yadong; Zhang, Yuguang; Li, Diqiang] Chinese Acad Forestry, Key Lab Biodivers, Res Inst Forest Ecol Environm & Protect, Natl Forestry & Grassland Adm, Beijing, Peoples R China.
   [Zhang, Yu; Clauzel, Celine; Wu, Gongsheng; Giraudoux, Patrick; Li, Li] Yunnan Univ Finance & Econ, Key Lab Hazard Risk Management & Wildlife Managem, Kunming, Yunnan, Peoples R China.
   [Clauzel, Celine] Univ Paris Diderot, Sorbonne Paris Cite, LADYSS, CNRS UMR7533, Paris, France.
   [Wu, Gongsheng; Li, Li] Yunnan Univ Finance & Econ, Sch Urban Management & Resource Environm, Kunming, Yunnan, Peoples R China.
   [Giraudoux, Patrick] Univ Bourgogne Franche Comte, Chronoenvironm, UMR CNRS 6249, Besancon, France.
C3 Chinese Academy of Forestry; Research Institute of Forest Ecology,
   Environment and Protection, CAF; Yunnan University of Finance &
   Economics; Universite Paris Cite; Yunnan University of Finance &
   Economics; Universite de Franche-Comte
RP Li, DQ (corresponding author), Chinese Acad Forestry, Key Lab Biodivers, Res Inst Forest Ecol Environm & Protect, Natl Forestry & Grassland Adm, Beijing, Peoples R China.; Clauzel, C; Li, L (corresponding author), Yunnan Univ Finance & Econ, Key Lab Hazard Risk Management & Wildlife Managem, Kunming, Yunnan, Peoples R China.
EM celine.clauzel@univ-paris-diderot.fr; lilyzsu@126.com;
   lidiqiang_caf@163.com
RI clauzel, cÃ©line/AAV-6454-2021; Giraudoux, Patrick/B-9274-2011
OI clauzel, celine/0000-0002-7401-2771
FU National Key Technology R&D Program of China [2013BAD03B02,
   2013BAD03B03]
FX National Key Technology R&D Program of China, Grant/Award Number:
   2013BAD03B02 and 2013BAD03B03
CR [Anonymous], RHINOPITHECUS ROXELL
   Ashcroft MB, 2010, J BIOGEOGR, V37, P1407, DOI 10.1111/j.1365-2699.2010.02300.x
   Baek HJ, 2013, ASIA-PAC J ATMOS SCI, V49, P603, DOI 10.1007/s13143-013-0053-7
   Barbet-Massin M, 2012, GLOBAL CHANGE BIOL, V18, P881, DOI 10.1111/j.1365-2486.2011.02552.x
   Brodie JF, 2015, CONSERV BIOL, V29, P122, DOI 10.1111/cobi.12337
   Brost BM, 2012, ECOL APPL, V22, P87, DOI 10.1890/11-0213.1
   Chang ZF, 2012, GENETICA, V140, P105, DOI 10.1007/s10709-012-9662-9
   Chang ZF, 2014, AM J PRIMATOL, V76, P72, DOI 10.1002/ajp.22198
   Chang ZF, 2012, CHINESE SCI BULL, V57, P1135, DOI 10.1007/s11434-011-4872-6
   Chen Qianming, 2004, Acta Theriologica Sinica, V24, P84
   Cord AF, 2014, ECOL MODEL, V272, P129, DOI 10.1016/j.ecolmodel.2013.09.011
   Elith J, 2015, DIVERS DISTRIB, V17, P43
   Gouveia SF, 2016, GLOBAL CHANGE BIOL, V22, P2003, DOI 10.1111/gcb.13162
   Hammerson G., 2012, WILDLIFE CONSERVATIO, P129, DOI [10.1002/9781119943440.ch8, DOI 10.1002/9781119943440.CH8]
   Heller NE, 2009, BIOL CONSERV, V142, P14, DOI 10.1016/j.biocon.2008.10.006
   Huang ZP, 2017, SCI REP-UK, V7, DOI 10.1038/srep46217
   Kang W, 2016, ACTA OECOL, V71, P31, DOI 10.1016/j.actao.2016.01.005
   Keppel G, 2015, FRONT ECOL ENVIRON, V13, P106, DOI 10.1890/140055
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Khatchikian C, 2011, MED VET ENTOMOL, V25, P268, DOI 10.1111/j.1365-2915.2010.00935.x
   Lambers JHR, 2015, SCIENCE, V348, P501, DOI 10.1126/science.aab2057
   Larue MA, 2008, ECOL MODEL, V212, P372, DOI 10.1016/j.ecolmodel.2007.10.036
   Levinsky I, 2007, BIODIVERS CONSERV, V16, P3803, DOI 10.1007/s10531-007-9181-7
   Li BG, 2002, INT J PRIMATOL, V23, P1227, DOI 10.1023/A:1021122819845
   Li J, 2017, ECOL EVOL, V7, P4003, DOI 10.1002/ece3.2981
   Li J, 2016, BIOL CONSERV, V203, P188, DOI 10.1016/j.biocon.2016.09.026
   Li L., 2011, 6 EUR C MAMM PAR FRA
   Li M, 2007, AM J PRIMATOL, V69, P1195, DOI 10.1002/ajp.20425
   Li YM, 2004, PRIMATES, V45, P69, DOI 10.1007/s10329-003-0059-3
   Lister NM, 2015, FRONT ECOL ENVIRON, V13, P493, DOI 10.1890/150080
   Littlefield CE, 2017, CONSERV BIOL, V31, P1397, DOI 10.1111/cobi.12938
   Liu CR, 2005, ECOGRAPHY, V28, P385, DOI 10.1111/j.0906-7590.2005.03957.x
   Liu ZJ, 2015, CONSERV BIOL, V29, P1508, DOI 10.1111/cobi.12581
   Luo MF, 2012, BMC EVOL BIOL, V12, DOI 10.1186/1471-2148-12-207
   Luo ZH, 2015, AM J PRIMATOL, V77, P135, DOI 10.1002/ajp.22317
   McGuire JL, 2016, P NATL ACAD SCI USA, V113, P7195, DOI 10.1073/pnas.1602817113
   McRae B. H., 2013, Circuitscape 4 User Guide
   McRae BH., 2011, LINKAGE MAPPER CONNE
   Mcrae BH, 2008, ECOLOGY, V89, P2712, DOI 10.1890/07-1861.1
   Milanesi P, 2017, OECOLOGIA, V183, P67, DOI 10.1007/s00442-016-3751-x
   Nuñez TA, 2013, CONSERV BIOL, V27, P407, DOI 10.1111/cobi.12014
   Palsboll PJ, 2007, TRENDS ECOL EVOL, V22, P11, DOI 10.1016/j.tree.2006.09.003
   Pan D, 2009, INT J PRIMATOL, V30, P337, DOI 10.1007/s10764-009-9347-0
   Parmesan C, 2006, ANNU REV ECOL EVOL S, V37, P637, DOI 10.1146/annurev.ecolsys.37.091305.110100
   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
   Puyravaud JP, 2017, ANIM CONSERV, V20, P225, DOI 10.1111/acv.12314
   Sandel B, 2011, SCIENCE, V334, P660, DOI 10.1126/science.1210173
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Searcy CA, 2016, AM NAT, V187, P423, DOI 10.1086/685387
   Songer Melissa, 2012, International Journal of Ecology, P1
   Stevenson-Holt CD, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0112119
   Struebig MJ, 2015, GLOBAL CHANGE BIOL, V21, P2891, DOI 10.1111/gcb.12814
   Tan CL, 2007, INT J PRIMATOL, V28, P577, DOI 10.1007/s10764-007-9147-3
   Taylor BL, 1999, MOL ECOL, V8, pS11, DOI 10.1046/j.1365-294X.1999.00797.x
   TAYLOR PD, 1993, OIKOS, V68, P571, DOI 10.2307/3544927
   UNFCCC, 2015, FCCCCP2015L
   Van P. T., 2010, 24 INT C INF ENV PRO
   Wang F, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105086
   Xiang ZF, 2011, CHINESE SCI BULL, V56, P2553, DOI 10.1007/s11434-011-4613-x
   [杨敬元 YANG Jingyuan], 2008, [世界科技研究与发展, World Sci-Tech R and D], V30, P418
   Zhu Z., 1992, CHINESE J WILDLIFE, V3, P16
NR 62
TC 21
Z9 23
U1 5
U2 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2045-7758
J9 ECOL EVOL
JI Ecol. Evol.
PD FEB
PY 2019
VL 9
IS 4
BP 1680
EP 1690
DI 10.1002/ece3.4815
PG 11
WC Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Evolutionary Biology
GA HO7HZ
UT WOS:000461114900012
PM 30847064
OA Green Published, gold
DA 2025-01-10
ER

PT J
AU Johannessen, Å
   Wamsler, C
AF Johannessen, Ase
   Wamsler, Christine
TI What does resilience mean for urban water services?
SO ECOLOGY AND SOCIETY
LA English
DT Article
DE climate change adaptation; disaster risk reduction; resilience;
   sustainable cities; urban transition; urban water; water and sanitation
ID CLIMATE-CHANGE; SUSTAINABILITY; ADAPTATION; MANAGEMENT; GOVERNANCE;
   ADAPTABILITY; SYSTEMS; DESIGN; POLICY; RISK
AB Disasters and climate change impacts, as well as increased water demand, pose serious risks to the provision of sustainable urban water services, e.g., drinking water, sanitation, and safe drainage, especially in cities. These challenges call for a transition toward improved water management, including considerations of "resilience." However, because the resilience concept has multidisciplinary origins it is open to multiple interpretations, which poses a challenge to understanding and operationalizing the concept. We explore how resilience thinking can be translated into urban water practice to develop the conceptual understanding of transitions toward sustainability. The study is based on a literature review, interviews with water experts, as well as four case studies in South Africa, India, Sweden, and the Philippines. We identify seven key principles or attributes of urban water resilience and the related transition process. We find that resilience building needs to discern between and manage three levels (i.e., socioeconomic, external hazard considerations, and larger social-ecological systems) to be sustainable. In addition, we find that human agency is a strong driver of transition processes, with a certain level of risk awareness and risk perception providing one threshold and a certain capacity for action to implement measures and reorganize in response to risks being another. The difficulty of achieving "knowledge to action" derives from the multiple challenges of crossing these two types of identified thresholds. To address long-term trends or stressors, we find an important role for social learning to ensure that the carrying capacity of urban water services is not exceeded or unwanted consequences are created (e.g., long-term trends like salinization and water depletion). We conclude that the resilience term and related concepts add value to understanding and addressing the dynamic dimension of urban water transitions if the key principles identified in this study are considered.
C1 [Johannessen, Ase] Stockholm Environm Inst, Stockholm, Sweden.
   [Johannessen, Ase] Lund Univ, Ctr Risk Assessment & Management LUCRAM, Div Risk Management & Societal Safety, Lund, Sweden.
   [Wamsler, Christine] Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
C3 Stockholm Environment Institute; Lund University; Lund University
RP Johannessen, Å (corresponding author), Stockholm Environm Inst, Stockholm, Sweden.; Johannessen, Å (corresponding author), Lund Univ, Ctr Risk Assessment & Management LUCRAM, Div Risk Management & Societal Safety, Lund, Sweden.
OI Johannessen, Ase/0000-0002-8752-5496
FU Swedish Civil Contingencies Agency (MSB) [MSB: 211-946]; Transforming
   Development and Disaster Risk Initiative at SEI - Swedish International
   Development Cooperation (Sida); Swedish Research Council FORMAS
FX This paper is an outcome of the WASH & RESCUE project (Grant number MSB:
   211-946) financed by The Swedish Civil Contingencies Agency (MSB). It
   has also received financial support from the Transforming Development
   and Disaster Risk Initiative at SEI, financed by the Swedish
   International Development Cooperation (Sida). The research has also
   benefited from one of the authors' "Sustainable Urban Transformation for
   Climate Change Adaptation" project financed by the Swedish Research
   Council FORMAS. We are grateful to Erik Rottier, Karlee Johnson, Guoyi
   Han, Frank Thomalla, Asa Gerger Swartling, John Forrester, Sarah Dickin,
   and Linn Persson, as well as Tom Gill and Rajesh Daniel for editing the
   paper. We are grateful for the many constructive comments by two
   anonymous reviewers, the editor of E&S, and Stef Smits. Many thanks also
   to the many water and sanitation professionals who generously
   volunteered their time and knowledge to support this work.
CR Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122
   [Anonymous], 13 EUR COURT AUD EUR
   [Anonymous], LEB MONTHL UPD DEC 2
   [Anonymous], ROADM ADV INT WAT RE
   [Anonymous], THESIS
   [Anonymous], HYDROINSECURE CRISIS
   [Anonymous], 2000, INTEGRATED WATER RES
   [Anonymous], 2007, CHARACTERISTICS DISA
   [Anonymous], SPECIAL PUBLICATION
   [Anonymous], 2009, TERM DIS RISK RED
   [Anonymous], 2010, The Black Swan: The Impact of the Highly Improbable
   [Anonymous], SUSTAINABLE CITY
   [Anonymous], 2008, GLOB CORR REP 2008 C
   [Anonymous], EC ASS GREEN INFR ST
   [Anonymous], 2014, World urbanization prospects: the 2014 revision, highlights
   [Anonymous], 2010, PROT DEV GAINS RED D
   [Anonymous], 2012, RESILIENCE PRACTICE
   [Anonymous], 32 WEDC INT C COL SR
   [Anonymous], CLIMATE CHANGE WATER
   [Anonymous], 5 WASHCOST IRC INT W
   [Anonymous], 2014, RISK OPPORTUNITY, DOI [DOI 10.1596/978-0-8213-9903-3, 10.48529/tyd0-f528, DOI 10.48529/TYD0-F528]
   [Anonymous], 4 AAA WORLD BANK ENV
   [Anonymous], OCCASIONAL PAPER SER
   [Anonymous], 2013, IDS WORKING PAPERS
   [Anonymous], BACKGROUND PAPERS GL
   [Anonymous], 2015, ROUTLEDGE STUDIES EN
   [Anonymous], 5 U NEW ENGL
   [Anonymous], 2014, Guidelines for Resilience Systems Analysis
   Barros V.R., 2014, Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part B: Regional Aspects Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, P1757
   Bradshaw GA, 2000, CONSERV ECOL, V4
   Brand FS, 2007, ECOL SOC, V12
   Brown RR, 2009, WATER SCI TECHNOL, V59, P847, DOI 10.2166/wst.2009.029
   Butler David., 2000, URBAN DRAINAGE
   Butterworth John., 2011, SWITCH in the city putting urban water management to the test
   Ellis JB, 2014, CLEAN-SOIL AIR WATER, V42, P153, DOI 10.1002/clen.201300225
   Eriksen SH, 2015, GLOBAL ENVIRON CHANG, V35, P523, DOI 10.1016/j.gloenvcha.2015.09.014
   Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002
   Folke C, 2010, ECOL SOC, V15, DOI 10.5751/es-03610-150420
   Foucault Michel., 1984, Nietzsche, Genealogy, History in The Foucault Reader
   Giddens A., PROFILES CRITIQUES S
   Giurco DP, 2014, CHEM ENGINEER TRANS, V42, P13, DOI 10.3303/CET1442003
   Holling C. S., 2002, Panarchy: understanding transformations in human and natural systems
   Hollnagel E, 2013, NUCL ENG TECHNOL, V45, P13, DOI 10.5516/NET.03.2011.078
   Howard G., 2010, Vision 2030: The resilience of water supply and sanitation in
   Howe C.A., 2011, Sustainable Water Management in the City of the Future. Findings from the SWITCH Project
   Huntjens P, 2012, GLOBAL ENVIRON CHANG, V22, P67, DOI 10.1016/j.gloenvcha.2011.09.015
   Jha AK., 2013, BUILDING URBAN RESIL, DOI [10.1596/978-0-8213-8865-5, DOI 10.1596/978-0-8213-8865-5]
   Johannessen Å, 2013, GLOBAL ENVIRON CHANG, V23, P372, DOI 10.1016/j.gloenvcha.2012.07.009
   Kollmuss A., 2002, Environ Educ Res, V8, P239, DOI [10.1080/13504620220145401, DOI 10.1080/13504620220145401]
   Loorbach D, 2010, FUTURES, V42, P237, DOI 10.1016/j.futures.2009.11.009
   Moriarty P, 2013, WATER ALTERN, V6, P329
   Olsson L, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400217
   Pachauri R.K., 2014, CLIMATE CHANGE 2014
   Pahl-Wostl C, 2007, ECOL SOC, V12
   Partzsch L, 2015, GAIA, V24, P48, DOI 10.14512/gaia.24.1.10
   Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237
   Rivera C, 2015, INT J DISAST RISK RE, V14, P445, DOI 10.1016/j.ijdrr.2015.09.009
   Schein E.H., 1999, The Corporate Culture Survival Guide: Sense and Nonsense about Culture Change, V1
   Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282
   Spiller M, 2015, J ENVIRON MANAGE, V149, P271, DOI 10.1016/j.jenvman.2014.09.031
   Turnbull M., 2013, Toward Resilience: A Guide to Disaster Risk Reduction and Climate Change Adaptation
   Turner A., 2010, Guide to Demand Management and Integrated Resource Planning (update on original 2008 Guide) (Issue January
   Turnheim B, 2015, GLOBAL ENVIRON CHANG, V35, P239, DOI 10.1016/j.gloenvcha.2015.08.010
   UNISDR, 2012, A handbook for local government leaders
   Walker B, 2004, ECOL SOC, V9
   Wamsler C, 2014, ROUTL CRIT INTRO URB, P1
   Wamsler C, 2016, CLIMATIC CHANGE, V137, P71, DOI 10.1007/s10584-016-1660-y
   Wamsler C, 2016, INT J DISASTER RESIL, V7, P80, DOI 10.1108/IJDRBE-01-2015-0001
   Wamsler C, 2015, ECOL SOC, V20, DOI 10.5751/ES-07489-200230
   Wamsler C, 2012, ECOL SOC, V17, DOI 10.5751/ES-04645-170202
   Weichselgartner J, 2015, PROG HUM GEOG, V39, P249, DOI 10.1177/0309132513518834
   Werners SE, 2013, CURR OPIN ENV SUST, V5, P334, DOI 10.1016/j.cosust.2013.06.005
   World Bank, 2003, WORLD DEV REP 2004 M, DOI [10.1596/0-8213-5468-X, DOI 10.1596/0-8213-5468-X]
NR 73
TC 55
Z9 63
U1 1
U2 74
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 2017
VL 22
IS 1
AR 1
DI 10.5751/ES-08870-220101
PG 18
WC Ecology; Environmental Studies
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ES2ZW
UT WOS:000399397700009
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Yoder, L
   Houser, M
   Bruce, A
   Sullivan, A
   Farmer, J
AF Yoder, Landon
   Houser, Matthew
   Bruce, Analena
   Sullivan, Abigail
   Farmer, James
TI Are climate risks encouraging cover crop adoption among farmers in the
   southern Wabash River Basin?
SO LAND USE POLICY
LA English
DT Article
DE Conservation practices; Environmental policy; Climate adaptation; Soil
   conservation; Agri-environmental governance
ID ECOSYSTEM SERVICES; PERCEPTIONS; MANAGEMENT
AB Cover crops represent a potential win-win opportunity to promote climate resilience by helping farmers adapt to climate risks while simultaneously mitigating multiple environmental impacts from agriculture. However, cover crop adoption rates are increasing slowly and cover less than 5% of U.S. croplands. In contrast, several Indiana counties in the southern Wabash River Basin have cover crops on more than 20 % of farmland. This qualitative study draws on 33 semi-structured interviews with farmers to understand whether climate risks are driving the above-average rates of adoption in this area. Our purposive sample of farmers was guided by whether they farmed flood-prone areas along the White and Wabash Rivers, thus making them especially sensitive to increasing flood risks from climate change. We found that while climate risks, particularly intensifying rainfall events, were a factor in some cases, most adoption was a longstanding effort to control wind-erosion on hilly areas with sandy soils. We also found that farmers experienced challenges with adoption following successful establishment of cover crops tied to climate-driven ecosystem responses. Greater spring precipitation delayed cash crop planting because of moisture retention and intensified pest pressures from increased habitat has caused replanting of cash crop seeds. Responses indicate that climate risks have mixed effects that may either discourage or encourage cover crop adoption depending on whether future outreach and policy interventions can help farmers overcome the adoption challenges they encounter.
C1 [Yoder, Landon; Farmer, James] Indiana Univ, ONeill Sch Publ & Environm Affairs, Bloomington, IN 47405 USA.
   [Houser, Matthew; Sullivan, Abigail] Indiana Univ, Environm Resilience Inst, Bloomington, IN 47405 USA.
   [Bruce, Analena] Univ New Hampshire, Coll Life Sci & Agr, Durham, NH 03824 USA.
C3 Indiana University System; Indiana University Bloomington; Indiana
   University System; Indiana University Bloomington; University System Of
   New Hampshire; University of New Hampshire
RP Yoder, L (corresponding author), Indiana Univ, ONeill Sch Publ & Environm Affairs, Bloomington, IN 47405 USA.
EM yoderl@indiana.edu
RI Sullivan, Abigail/JYQ-1619-2024
OI Yoder, Landon/0000-0002-0839-9920; Sullivan,
   Abigail/0000-0002-2746-859X; Bruce, Analena/0000-0002-4864-4601
FU Indiana University Grand Challenge Initiative, Prepared for
   Environmental Change
FX This research was supported by the Indiana University Grand Challenge
   Initiative, Prepared for Environmental Change. The authors would like to
   thank each of the 35 farmers that participated in the interviews, as
   well as the Natural Resources Conservation Service, Soil and Water
   Conservation District, and The Nature Conservancy staff that connected
   us with participants, as well as two anonymous reviewers for their
   helpful comments, which strengthened the manuscript.
CR Angel J.R., 2018, MIDWEST IMPACTS RISK, VII
   [Anonymous], 2014, US GLOBAL CHANGE RES, DOI DOI 10.7930/J0J1012N
   Arbuckle JG Jr, 2015, J SOIL WATER CONSERV, V70, P418, DOI 10.2489/jswc.70.6.418
   Bergtold J. S., 2012, Journal of Agricultural and Applied Economics, V44, P99
   Bergtold JS, 2019, RENEW AGR FOOD SYST, V34, P62, DOI 10.1017/S1742170517000278
   Bowling LC., 2018, Indiana's Agriculture in a Changing Climate: A Report from the Indiana Climate Change Impacts Assessment, DOI [10.5703/1288284316778, DOI 10.5703/1288284316778]
   Burton RJF, 2004, SOCIOL RURALIS, V44, P195, DOI 10.1111/j.1467-9523.2004.00270.x
   Carlton JS, 2016, CLIMATIC CHANGE, V135, P211, DOI 10.1007/s10584-015-1561-5
   Conservation Technology Information Center Sustainable Agriculture Research and Education American Seed Trade Association, 2017, ANN REP 2016 2017 CO
   DeLonge M, 2017, ELEMENTA-SCI ANTHROP, V5, P1, DOI 10.1525/elementa.211
   Dentzman K, 2018, J ENVIRON PSYCHOL, V60, P55, DOI 10.1016/j.jenvp.2018.10.006
   Dunn M, 2016, J SOIL WATER CONSERV, V71, P29, DOI 10.2489/jswc.71.1.29
   Economic Research Service, 2018, FERT US PRIC
   Gardezi M, 2019, WEATHER CLIM SOC, V11, P665, DOI 10.1175/WCAS-D-18-0086.1
   Hanrahan BR, 2018, AGR ECOSYST ENVIRON, V265, P513, DOI 10.1016/j.agee.2018.07.004
   Hoosier Resiliency Index, 2020, IND U PREP ENV CHANG
   Houser M, 2020, J AGRAR CHANGE, V20, P215, DOI 10.1111/joac.12341
   Indiana Department of Natural Resources, 2018, 2018 FALL LIV COV PL
   Janowiak Maria K., 1944, Technical Bulletin
   Kaye JP, 2017, AGRON SUSTAIN DEV, V37, DOI 10.1007/s13593-016-0410-x
   Lal R, 2007, SOIL TILL RES, V93, P1, DOI 10.1016/j.still.2006.11.004
   Lal R, 2015, J SOIL WATER CONSERV, V70, P329, DOI 10.2489/jswc.70.6.329
   Lee D, 2018, WATER RESOUR RES, V54, P9566, DOI [10.1029/2017WR022385, 10.1029/2017wr022385]
   Lee S, 2019, J AGRIC APPL ECON, V51, P527, DOI 10.1017/aae.2019.20
   Maas A, 2020, CLIMATIC CHANGE, V162, P1011, DOI 10.1007/s10584-020-02713-6
   Milman A, 2016, GLOBAL ENVIRON CHANG, V36, P46, DOI 10.1016/j.gloenvcha.2015.11.007
   Montgomery D.R., 2017, Growing a revolution: Bringing our soil back to life
   Moyer J., 2020, Regenerative agriculture and the soil carbon solution white paper
   Myers R., 2019, A preliminary look at state rankings for cover crop acreage based on census of agriculture information
   Newton J., 2019, Majority of Crop Acres Covered by Crop Insurance
   O'Connell S, 2015, RENEW AGR FOOD SYST, V30, P550, DOI 10.1017/S1742170514000398
   Olson KR, 2017, J SOIL WATER CONSERV, V72, p64A, DOI 10.2489/jswc.72.3.64A
   Osmond DL, 2015, J ENVIRON QUAL, V44, P382, DOI 10.2134/jeq2014.02.0091
   Reimer AP, 2012, AGR HUM VALUES, V29, P29, DOI 10.1007/s10460-011-9308-z
   Roesch-McNally GE, 2018, GLOBAL ENVIRON CHANG, V48, P206, DOI 10.1016/j.gloenvcha.2017.12.002
   Roesch-McNally GE, 2018, RENEW AGR FOOD SYST, V33, P322, DOI [10.1017/S1742170517000096, 10.1017/s1742170517000096]
   Saldana J ., 2016, CODING MANUAL QUALIT, V3
   Schipanski ME, 2014, AGR SYST, V125, P12, DOI 10.1016/j.agsy.2013.11.004
   Schnepf M.C. Cox., 2006, ENV BENEFITS CONSERV
   Shackelford GE, 2019, LAND USE POLICY, V88, DOI 10.1016/j.landusepol.2019.104204
   Singer JW, 2007, J SOIL WATER CONSERV, V62, P353
   Stuart D, 2018, LAND USE POLICY, V70, P289, DOI 10.1016/j.landusepol.2017.10.047
   Thiele R., 2020, INDIANA PUBLIC 0605
   Tonitto C, 2006, AGR ECOSYST ENVIRON, V112, P58, DOI 10.1016/j.agee.2005.07.003
   U.S. Department of Agriculture, 2019, 2017 CENS AGR
   Villamayor-Tomas S, 2019, LAND USE POLICY, V84, P200, DOI 10.1016/j.landusepol.2019.03.006
   Warner BP, 2017, CASE STUD ENVIRON, V1, DOI 10.1525/cse.2017.sc.512407
   Widhalm M., 2018, Indiana's past future climate: A report from the Indiana Climate Change Impacts Assessment
   Wuebbles D. J., 2017, Climate science special report: Fourth national climate assessment, VI
NR 49
TC 16
Z9 17
U1 4
U2 25
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 MAR
PY 2021
VL 102
DI 10.1016/j.landusepol.2020.105268
EA JAN 2021
PG 9
WC Environmental Studies
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA QS8MM
UT WOS:000626147600015
DA 2025-01-10
ER

PT J
AU Aschenneller, B
   Rietbroek, R
   van der Wal, D
AF Aschenneller, Benedikt
   Rietbroek, Roelof
   van der Wal, Daphne
TI Changing sea level, changing shorelines: integration of remote-sensing
   observations at the Terschelling barrier island
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID VERTICAL LAND MOTION; WATER INDEX NDWI; TIDE GAUGES; SATELLITE
   ALTIMETRY; COASTAL; VARIABILITY; POSITION; ZONE; DELINEATION; EXTRACTION
AB Sea level rise is associated with increased coastal erosion and inundation. However, the effects of sea level change on the shoreline can be enhanced or counteracted by vertical land motion and morphological processes. Therefore, knowledge about the individual contributions of sea level change, vertical land motion and morphodynamics on shoreline changes is necessary to make informed choices for climate change adaptation, such as applying coastal defence measures. Here, we assess the potential of remote-sensing techniques to detect a geometrical relationship between sea level rise and shoreline retreat for a case study at the Terschelling barrier island at the northern Dutch coast. First, we find that sea level observations from satellite radar altimetry retracked with ALES can represent sea level variations between 2002 and 2022 at the shoreline when the region to extract altimetry time series is chosen carefully. Second, results for cross-shore time series of satellite-derived shorelines extracted from optical remote-sensing images can change considerably, depending on choices made for tidal correction and parameter settings during the computation of time series. While absolute shoreline positions can differ on average by more than 200 m, the average trend differences are below 1 myr-1. Third, by intersecting the 1992 land elevation with time-variable sea level, we find that inundation through sea level rise caused on average -0.3 myr-1 of shoreline retreat between 1992 and 2022. The actual shoreline movement in this period was on average between -2.8 and -3.2 myr-1, leading to the interpretation that the larger part of shoreline changes at Terschelling is driven by morphodynamics. We conclude that the combination of sea level from radar altimetry, satellite-derived shorelines and land elevation provides valuable information about the influence of sea level rise, vertical land motion and morphodynamics on shoreline movements.
C1 [Aschenneller, Benedikt; Rietbroek, Roelof; van der Wal, Daphne] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands.
   [van der Wal, Daphne] Royal Netherlands Inst Sea Res NIOZ, Dept Estuarine & Delta Syst, POB 140, NL-4400 AC Yerseke, Netherlands.
C3 University of Twente; Utrecht University; Royal Netherlands Institute
   for Sea Research (NIOZ)
RP Aschenneller, B (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands.
EM s.aschenneller@utwente.nl
RI Rietbroek, Roelof/AAE-8820-2020
OI Rietbroek, Roelof/0000-0001-5276-5943
CR Adebisi N, 2021, REMOTE SENS-BASEL, V13, DOI 10.3390/rs13183587
   Al Najar M, 2022, REMOTE SENS-BASEL, V14, DOI 10.3390/rs14051196
   Almar R, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-38742-9
   Almeida LP, 2021, ENVIRON MODELL SOFTW, V140, DOI 10.1016/j.envsoft.2021.105033
   Almeida LP, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11050590
   Almonacid-Caballer J, 2016, MAR GEOL, V372, P79, DOI 10.1016/j.margeo.2015.12.015
   Andersen OB, 2018, MAR GEOD, V41, P517, DOI 10.1080/01490419.2018.1530320
   Aschenneller B., eTU.ResearchData data set, DOI [10.4121/fd84a556-e403-48ba-b302-a759b4603fa4.v2, DOI 10.4121/FD84A556-E403-48BA-B302-A759B4603FA4.V2]
   Aschenneller B., eTU.ResearchData code, DOI [10.4121/6f8f8535-5b4f-4abb-b0f6-89a6a80c13bf.v1,2024a, DOI 10.4121/6F8F8535-5B4F-4ABB-B0F6-89A6A80C13BF.V1,2024A]
   Athanasiou P, 2019, EARTH SYST SCI DATA, V11, P1515, DOI 10.5194/essd-11-1515-2019
   Atkinson AL, 2018, COAST ENG, V136, P183, DOI 10.1016/j.coastaleng.2018.03.003
   Bergsma EWJ, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11161918
   Birol F, 2017, ADV SPACE RES, V59, P936, DOI 10.1016/j.asr.2016.11.005
   Birol F, 2021, ADV SPACE RES, V67, P2398, DOI 10.1016/j.asr.2021.01.049
   Bishop-Taylor R, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11242984
   Bishop-Taylor R, 2019, ESTUAR COAST SHELF S, V223, P115, DOI 10.1016/j.ecss.2019.03.006
   Blewitt G., 2018, EOS, DOI [10.1029/2018EO104623, DOI 10.1029/2018EO104623]
   Blewitt G, 2016, J GEOPHYS RES-SOL EA, V121, P2054, DOI 10.1002/2015JB012552
   Boak EH, 2005, J COASTAL RES, V21, P688, DOI 10.2112/03-0071.1
   Brand E, 2022, OCEAN COAST MANAGE, V217, DOI 10.1016/j.ocecoaman.2021.106008
   Bruun P., 1962, J WATERWAYS HARBORS, V88, P117, DOI DOI 10.1061/JWHEAU.0000252
   Carrère L, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016473
   Cazenave A., Communications Earth & Environment, V3, P1, DOI [10.1038/s43247, DOI 10.1038/S43247]
   Chen CP, 2023, ISPRS J PHOTOGRAMM, V200, P55, DOI 10.1016/j.isprsjprs.2023.05.004
   Chen WW, 2009, ESTUAR COAST SHELF S, V84, P54, DOI 10.1016/j.ecss.2009.06.002
   Cheng YC, 2012, ADV SPACE RES, V50, P1099, DOI 10.1016/j.asr.2011.11.016
   Choi C, 2018, IEEE J-STARS, V11, P919, DOI 10.1109/JSTARS.2018.2795107
   Cipollini P, 2017, SURV GEOPHYS, V38, P33, DOI 10.1007/s10712-016-9392-0
   Cooper JAG, 2004, GLOBAL PLANET CHANGE, V43, P157, DOI 10.1016/j.gloplacha.2004.07.001
   Copernicus Climate Change Service, 2024, ECMWR
   D'Anna M, 2021, J MAR SCI ENG, V9, DOI 10.3390/jmse9090974
   Dai CL, 2019, REMOTE SENS ENVIRON, V229, P260, DOI 10.1016/j.rse.2019.04.010
   De Biasio F, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8110949
   de Graaf H., Rapportnummer: AGI-GAM-2003-40
   Dettmering D, 2021, EARTH SYST SCI DATA, V13, P3733, DOI 10.5194/essd-13-3733-2021
   DGFI: OpenADB, 2023, ALES Sea Surface Heights
   Do ATK, 2019, J COASTAL RES, V35, P56, DOI 10.2112/JCOASTRES-D-18-00021.1
   Eleveld MA, 2014, REMOTE SENS ENVIRON, V143, P204, DOI 10.1016/j.rse.2013.12.019
   Fokker PA, 2018, NETH J GEOSCI, V97, P129, DOI 10.1017/njg.2018.9
   Frazier PS, 2000, PHOTOGRAMM ENG REM S, V66, P1461
   Gao J, 2009, PROG PHYS GEOG, V33, P103, DOI 10.1177/0309133309105657
   Gazeaux J., J.Geophys. Res.-Sol. Ea
   github, moflaher: ttidepy, GitHub
   github, CNES: aviso-fes, GitHub
   Gravelle M, 2023, EARTH SYST SCI DATA, V15, P497, DOI 10.5194/essd-15-497-2023
   Hart-Davis Michael, 2021, SEANOE, DOI 10.17882/79489
   Hart-Davis MG, 2023, OCEAN DYNAM, DOI 10.1007/s10236-023-01560-0
   Hart-Davis MG, 2021, EARTH SYST SCI DATA, V13, P3869, DOI 10.5194/essd-13-3869-2021
   Hermans THJ, 2021, GEOPHYS RES LETT, V48, DOI 10.1029/2020GL092064
   Hinkel J, 2014, P NATL ACAD SCI USA, V111, P3292, DOI 10.1073/pnas.1222469111
   Holgate SJ, 2013, J COASTAL RES, V29, P493, DOI 10.2112/JCOASTRES-D-12-00175.1
   Hooijer A, 2021, NAT COMMUN, V12, DOI 10.1038/s41467-021-23810-9
   Huang C, 2018, REV GEOPHYS, V56, P333, DOI 10.1029/2018RG000598
   Jordan C, 2021, FRONT MAR SCI, V8, DOI 10.3389/fmars.2021.685758
   Karegar MA, 2020, GEOPHYS RES LETT, V47, DOI 10.1029/2020GL087807
   Kleinherenbrink M, 2018, OCEAN SCI, V14, P187, DOI 10.5194/os-14-187-2018
   Laignel B, 2023, SURV GEOPHYS, V44, P1309, DOI 10.1007/s10712-022-09757-6
   LARSON M, 1994, MAR GEOL, V117, P75, DOI 10.1016/0025-3227(94)90007-8
   Le Cozannet G, 2014, EARTH-SCI REV, V138, P47, DOI 10.1016/j.earscirev.2014.08.005
   Lerma AN, 2022, APPL GEOGR, V139, DOI 10.1016/j.apgeog.2022.102645
   Liu HX, 2007, J COASTAL RES, V23, P1359, DOI 10.2112/05-0580.1
   Lopez Angel, 2024, ECMWR
   Luijendijk A, 2018, SCI REP-UK, V8, DOI 10.1038/s41598-018-24630-6
   Lyard FH, 2021, OCEAN SCI, V17, P615, DOI 10.5194/os-17-615-2021
   Mangini F, 2022, OCEAN SCI, V18, P331, DOI 10.5194/os-18-331-2022
   Marsh S.W., 1999, Coastal Engineering 1998, P3110, DOI [10.1061/9780784404119.236, DOI 10.1061/9780784404119.236]
   MASON DC, 1995, GEOPHYS RES LETT, V22, P3187, DOI 10.1029/95GL03168
   McFeeters SK, 1996, INT J REMOTE SENS, V17, P1425, DOI 10.1080/01431169608948714
   Minneboo F. A.J., 1995, rapport RIKZ-95.022
   Morrow R., 2018, New Frontiers in Operational Oceanography, P191, DOI [DOI 10.1029/2012JC008364, 10.17125/gov2018.ch08, DOI 10.17125/GOV2018.CH08]
   Morton RA, 2005, J COASTAL RES, V21, P704, DOI 10.2112/04-0230.1
   Oelsmann J, 2021, OCEAN SCI, V17, P35, DOI 10.5194/os-17-35-2021
   Palomar-Vázquez J, 2023, REMOTE SENS-BASEL, V15, DOI 10.3390/rs15123198
   Pardo-Pascual JE, 2012, REMOTE SENS ENVIRON, V123, P1, DOI 10.1016/j.rse.2012.02.024
   Parker BB, 2003, J COASTAL RES, P44
   Passaro M., 2017, **DATA OBJECT**, DOI 10.1594/PANGAEA.871920
   Passaro M, 2015, IEEE T GEOSCI REMOTE, V53, P2146, DOI 10.1109/TGRS.2014.2356331
   Passaro M, 2014, REMOTE SENS ENVIRON, V145, P173, DOI 10.1016/j.rse.2014.02.008
   Pawlowicz R, 2002, COMPUT GEOSCI-UK, V28, P929, DOI 10.1016/S0098-3004(02)00013-4
   Pfeffer J, 2016, EARTH PLANET SC LETT, V439, P39, DOI 10.1016/j.epsl.2016.01.027
   Piccioni G, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10050700
   Ponte RM, 2006, J ATMOS OCEAN TECH, V23, P619, DOI 10.1175/JTECH1864.1
   Pot R., 2011, Coastal Morphologic Data: Yearly Coastal Survey in the Netherlands. JARKUS Systematics and Accuracy
   Pronk M, 2024, SCI DATA, V11, DOI 10.1038/s41597-024-03091-9
   Quataert E., 2020, Beheerbibliotheek Terschelling
   Ranasinghe R, 2016, EARTH-SCI REV, V160, P320, DOI 10.1016/j.earscirev.2016.07.011
   Ridderinkhof W, 2016, CONT SHELF RES, V115, P14, DOI 10.1016/j.csr.2015.12.014
   Rijkswaterstaat, 2022, JARKUS Dataset, Deltares data set
   Rijkswaterstaat (Dutch Ministry of Infrastructure and Water Management), Waterhoogte Oppervlaktewater t.o.v. Normaal Amsterdams Peil in Cm, Waterinfo
   ROBERTS J, 1978, J GEOPHYS RES-OCEANS, V83, P5510, DOI 10.1029/JC083iC11p05510
   Robertson WV, 2004, J COASTAL RES, V20, P884, DOI 10.2112/1551-5036(2004)20[884:MSPUAL]2.0.CO;2
   Salameh E, 2019, REMOTE SENS-BASEL, V11, DOI 10.3390/rs11192212
   Salameh E, 2018, REMOTE SENS-BASEL, V10, DOI 10.3390/rs10020297
   Sánchez-García E, 2020, COAST ENG, V160, DOI 10.1016/j.coastaleng.2020.103732
   Santamaría-Gómez A, 2012, GLOBAL PLANET CHANGE, V98-99, P6, DOI 10.1016/j.gloplacha.2012.07.007
   Schuerch M, 2018, NATURE, V561, P231, DOI 10.1038/s41586-018-0476-5
   Shirzaei M, 2021, NAT REV EARTH ENV, V2, P40, DOI 10.1038/s43017-020-00115-x
   Simon KM, 2018, SOLID EARTH, V9, P777, DOI 10.5194/se-9-777-2018
   SONEL, 2022, GNSS Data, SONEL data set
   Stockdon HF, 2002, J COASTAL RES, V18, P502
   Stockdon HF, 2006, COAST ENG, V53, P573, DOI 10.1016/j.coastaleng.2005.12.005
   Stumpf RP, 2003, LIMNOL OCEANOGR, V48, P547, DOI 10.4319/lo.2003.48.1_part_2.0547
   Toimil A, 2020, EARTH-SCI REV, V202, DOI 10.1016/j.earscirev.2020.103110
   TU Delft, 2022, Site Information for Terschelling
   Turner IL, 2016, SCI DATA, V3, DOI 10.1038/sdata.2016.24
   van IJzendoorn C., 2022, Jarkus Analysis Toolbox (JAT), GitHub code
   Vermeersen BLA, 2018, NETH J GEOSCI, V97, P79, DOI 10.1017/njg.2018.7
   Vignudelli S, 2011, COASTAL ALTIMETRY, P1, DOI 10.1007/978-3-642-12796-0
   Vignudelli S, 2019, SURV GEOPHYS, V40, P1319, DOI 10.1007/s10712-019-09569-1
   Vos K, 2023, COMMUN EARTH ENVIRON, V4, DOI 10.1038/s43247-023-01001-2
   Vos K, 2019, ENVIRON MODELL SOFTW, V122, DOI 10.1016/j.envsoft.2019.104528
   Vos K, 2019, COAST ENG, V150, P160, DOI 10.1016/j.coastaleng.2019.04.004
   Vousdoukas M.I., Nat. Sustain., P1, DOI [10.1038/s41893-023-01230, DOI 10.1038/S41893-023-01230]
   Vousdoukas MI, 2020, NAT CLIM CHANGE, V10, P260, DOI 10.1038/s41558-020-0697-0
   Wang ZB, 2012, OCEAN COAST MANAGE, V68, P39, DOI 10.1016/j.ocecoaman.2011.12.022
   Wiegmann N., 2002, Rapportnummer: AGI/110105/GAM010
   Wöppelmann G, 2016, REV GEOPHYS, V54, P64, DOI 10.1002/2015RG000502
   Xu HQ, 2006, INT J REMOTE SENS, V27, P3025, DOI 10.1080/01431160600589179
   Yousef A, 2014, OPT ENG, V53, DOI 10.1117/1.OE.53.1.011006
NR 119
TC 0
Z9 0
U1 3
U2 3
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
J9 NAT HAZARD EARTH SYS
JI Nat. Hazards Earth Syst. Sci.
PD NOV 28
PY 2024
VL 24
IS 11
BP 4145
EP 4177
DI 10.5194/nhess-24-4145-2024
PG 33
WC Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences;
   Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
GA N7W1G
UT WOS:001366383200001
OA gold, Green Submitted
DA 2025-01-10
ER

PT J
AU Markos, D
   Worku, W
   Mamo, G
AF Markos, Daniel
   Worku, Walelign
   Mamo, Girma
TI Modeling performances of maize cultivars under current and future
   climate scenarios in southern central Ethiopian rift valley
SO CABI AGRICULTURE & BIOSCIENCE
LA English
DT Article
DE Calibration; DSSAT model; Maize; Simulation; Validation
ID CERES-MAIZE; CROPPING SYSTEM; YIELD; IMPACT; TEMPERATURE; AGRICULTURE;
   GENERATION; SIMULATION; AFRICA; WATER
AB Background In southern central rift valley of Ethiopia, maize is an important crop because of its adaptation to wider agro-ecologies and higher yield potential. However, most cultivars were not parameterized to include in the database of Decision Support System for Agro-technology Transfer (DSSAT). As a result simulation of growth and yield of those cultivars was not possible under changing climate.Methods Two set of independent crop, management and soil data were used for calibration and validation of genetic coefficients of maize cultivars (BH-540, BH-546, BH-547, Shala and Shone) under condition of historic weather (1990-2020). Later, we simulated the growth and yield of maize using twenty multimodel climate ensembles across RCP 4.5 and 8.5 during early, medium and late century across Shamana, Bilate, Hawassa and Dilla clusters using DSSATv4.8 model.Results Cultivars BH-540, BH-546, BH-547, Shala and Shone produced yields of 5.7, 5.4, 5.2, 6.9 and 7.4 t ha-1 with the corresponding error percentage of - 0.1, - 0.8, - 1.0, - 6.1 and 2.6%. The results of normalized root mean square were 1.14-4.2 and 3.0-3.9%, for grain yield during calibration and validation, respectively showing an excellent rating. The simulation experiment produced 5.4-9.2 t ha-1 for grain yield of maize cultivars across the study areas, which is likely to fall close to 63.3% by 2070 if right adaptation options are not introduced necessitating switch in cultivars and production areas.Conclusions There is critical need for reduction of GHGs emissions, generation of innovative adaptation strategies, and development of drought and heat stress tolerant maize cultivars. Hence, researchers and policy makers shall act with utmost urgency to embark with breeding programs that target climate change adaptation traits in maize crop.
C1 [Markos, Daniel; Worku, Walelign] Hawassa Univ, Sch Plant & Hort Sci, POB 05, Hawassa, Ethiopia.
   [Mamo, Girma] Ethiopian Inst Agr Res, POB 2003, Addis Ababa, Ethiopia.
C3 Hawassa University; Ethiopian Institute of Agricultural Research (EIAR)
RP Markos, D (corresponding author), Hawassa Univ, Sch Plant & Hort Sci, POB 05, Hawassa, Ethiopia.
EM studentdaniel77@gmail.com
RI Markos, Daniel/HRB-7410-2023
FU SARI (Southern Agriculture Research Institute)
FX The authors acknowledge Hawassa University College of Agriculture School
   of Plant and Horticultural Sciences for hosting PhD program in Agronomy
   and the National Meteorology and Climate Change Institute (the then
   National Meteorology Agency) Hawassa Branch Office for provision of
   geo-referenced weather data and SARI (Southern Agriculture Research
   Institute) for sponsoring the study.
CR Abay Ayalew Abay Ayalew, 2015, Journal of Environment and Earth Science, V5, P116
   Abedinpour M, 2018, PERTANIKA J SCI TECH, V26, P1605
   Abera K., 2018, Environ. Syst. Res, V7, P4, DOI DOI 10.1186/S40068-018-0107-Z
   Adnan AA, 2017, FRONT PLANT SCI, V8, DOI 10.3389/fpls.2017.01118
   Aggarwal PK, 2006, AGR SYST, V89, P47, DOI 10.1016/j.agsy.2005.08.003
   Alexandratos N., 2012, ESA Working Paper, DOI 10.22004/ag.econ.288998
   Alexandrov V, 2001, P 5 TH EUROPEAN C AP
   [Anonymous], 1991, Modeling plant and soil systems
   Araya A, 2015, AGR FOREST METEOROL, V214, P252, DOI 10.1016/j.agrformet.2015.08.259
   Bayable G., 2021, Environ Syst Res, V10, P1, DOI [10.1186/s40068-020-00216-y, DOI 10.1186/S40068-020-00216-Y]
   Bejigo G., 2018, Amer J Agric Forest, V6, P237
   Belay A, 2021, CLIMATE, V9, DOI 10.3390/cli9060096
   Boote K, 2017, Advances in crop modeling for a sustainable agriculture, P1
   Boote KJ, 2010, INT J AGRIC ENVIRON, V1, P41, DOI 10.4018/jaeis.2010101303
   Chambers J. M., 2017, Statistical models in S, P145, DOI [10.1201/9780203738535-5, DOI 10.1201/9780203738535-5]
   Clarke L., 2007, Scenarios of greenhouse gas emissions and atmospheric concentrations, P154
   Derbew S., 2017, Int J Pure Agric Adv, V1, P30
   Dinku T, 2018, Q J ROY METEOR SOC, V144, P292, DOI 10.1002/qj.3244
   Feleke HG, 2021, S AFR J PLANT SOIL, V38, P36, DOI 10.1080/02571862.2020.1837271
   Giorgi F., 2009, Bulletin - World Meteorological Organization, V58, P175
   Gobo AE., 2006, J Environ Hydrol, V14, P1
   Hidoto L., 2021, World J Innov Res, V11, P52
   Hidoto L, 2019, WORKSHOP PROCEEDING
   Holzworth DP, 2015, ENVIRON MODELL SOFTW, V72, P276, DOI 10.1016/j.envsoft.2014.12.013
   Hoogenboom G., 2010, DECIS SUPPORT SYST
   Iglesias A, 2006, U POLITECNICA MADRID
   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]
   Jemal SH, 2018, Risks and opportunities from more productive and resilient cropping system strategies in the Central and Southern Rift Valley of Ethiopia
   Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7
   Jones PG, 2003, GLOBAL ENVIRON CHANG, V13, P51, DOI 10.1016/S0959-3780(02)00090-0
   Kalra N, 2008, CURR SCI INDIA, V94, P82
   Kassie BT, 2014, FIELD CROP RES, V160, P41, DOI 10.1016/j.fcr.2014.02.010
   Lamsal A, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0195841
   Leng GY, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab7b24
   Li K, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14159246
   Liben FM, 2018, FIELD CROP RES, V228, P122, DOI 10.1016/j.fcr.2018.09.001
   Liu HL, 2017, J INTEGR AGR, V16, P2300, DOI [10.1016/S2095-3119(17)61678-2, 10.1016/s2095-3119(17)61678-2]
   Loha G., 2018, Sumerianz J Agric Vet, V1, P24
   López-Cedrón FX, 2008, AGRON J, V100, P296, DOI 10.2134/agronj2007.0088
   Luhunga PM, 2018, FRONT ENV SCI-SWITZ, V6, DOI 10.3389/fenvs.2018.00122
   Ma L, 2006, AGR SYST, V87, P274, DOI 10.1016/j.agsy.2005.02.001
   Mamo G., 2013, Ethiop J Agric Sci, V24, P123
   Markos Daniel, 2023, PLoS Climate, V2, DOI 10.1371/journal.pclm.0000218
   Markos D, 2023, SCI REP-UK, V13, DOI 10.1038/s41598-023-39795-y
   Markos D, 2022, OPEN AGRIC, V7, P504, DOI 10.1515/opag-2022-0105
   Mekasha Goshime Muluneh, 2020, Journal of Plant Breeding and Crop Science, V12, P269, DOI 10.5897/JPBCS2020.0897
   Mohammed A., 2022, Environ Sustain Indic, V15
   Moss Richard, 2008, Towards New Scenarios for Analysis of Emissions: Climate Change, Impacts, and Response Strategies
   Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823
   Mulugeta D., 2010, E AFRICAN J SCI, V4, P65, DOI DOI 10.4314/EAJSCI.V4I2.71528
   Mulungu DMM, 2023, MODEL EARTH SYST ENV, V9, P1287, DOI 10.1007/s40808-022-01555-8
   Niang I, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1199
   Ojara MA, 2021, ENVIRON MONIT ASSESS, V193, DOI 10.1007/s10661-021-09547-4
   Ongoma V, 2018, INT J CLIMATOL, V38, P1375, DOI 10.1002/joc.5252
   Pereira L., 2017, Oxford Research Encyclopedia of Environmental Science, DOI 10.1093/acrefore/9780199389414.013.292
   Räisänen J, 2013, CLIM DYNAM, V41, P1553, DOI 10.1007/s00382-012-1515-9
   Rani SU., 2023, Contemp Perspect Sci Technol Res, V1, P1
   Rising J, 2020, NAT COMMUN, V11, DOI 10.1038/s41467-020-18725-w
   Sharda V, 2021, J AM WATER RESOUR AS, V57, P281, DOI 10.1111/1752-1688.12873
   Shengu MK., 2018, Int J Res Sci Innov, V3, P1
   Sridharan V, 2019, WATER-SUI, V11, DOI 10.3390/w11091805
   Tofa AI, 2021, SCI REP-UK, V11, DOI 10.1038/s41598-021-88277-6
   van Etten J, 2019, P NATL ACAD SCI USA, V116, P4194, DOI 10.1073/pnas.1813720116
   Vucetic V, 2011, J AGR SCI, V149, P145, DOI 10.1017/S0021859610000808
   Wang XB, 2021, AGR FOREST METEOROL, V308, DOI 10.1016/j.agrformet.2021.108564
   Wendimeneh D, 2010, Characterization and classification of the soils of upper sala watershed in Dilla zuria district of Gedeo Zone, Southern Ethiopia
   WHISLER FD, 1986, ADV AGRON, V40, P141
   White JW, 2011, FIELD CROP RES, V124, P357, DOI 10.1016/j.fcr.2011.07.001
   Wilkens P, 2001, MODELING TEMPERATURE, P1
   Willems P, 2011, J HYDROL, V402, P193, DOI 10.1016/j.jhydrol.2011.02.030
   WILLMOTT CJ, 1982, B AM METEOROL SOC, V63, P1309, DOI 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2
   Yang JM, 2014, AGR SYST, V127, P81, DOI 10.1016/j.agsy.2014.01.008
   Yimer SM, 2022, CLIMATE, V10, DOI 10.3390/cli10070095
   Zemach Sorsa Zemach Sorsa, 2015, International Journal of Plant Breeding and Genetics, V9, P255
   Zhang LL, 2021, ENVIRON RES LETT, V16, DOI 10.1088/1748-9326/ac32fd
NR 75
TC 0
Z9 0
U1 0
U2 0
PU SPRINGERNATURE
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
EI 2662-4044
J9 CABI AGR BIOSCI
JI CABI Agriculture Biosci.
PD MAR 21
PY 2024
VL 5
IS 1
AR 29
DI 10.1186/s43170-024-00232-3
PG 17
WC Agriculture, Multidisciplinary
WE Emerging Sources Citation Index (ESCI)
SC Agriculture
GA LZ0L1
UT WOS:001190515800002
OA gold
DA 2025-01-10
ER

PT J
AU Black, E
   Boult, V
   Hirons, L
   Woolnough, S
AF Black, Emily
   Boult, Victoria
   Hirons, Linda
   Woolnough, Steven
TI The potential value of seasonal drought forecasts in the context of
   climate change: A case study of the African elephant conservation sector
SO METEOROLOGICAL APPLICATIONS
LA English
DT Article
DE Africa; climate change impacts; droughts; ecology; elephants;
   forecasting; hazards; projections; resilience; seasonal
ID RAINFALL; TEMPERATURE; MANAGEMENT; IMPACTS; WET
AB This study investigates meteorological drought in sub-Saharan Africa within the context of elephant conservation. Prolonged drought significantly impacts elephants, leading to increased mortality rates and heightened human-elephant conflicts. We assess both the anticipated 21st century changes in impact-relevant meteorological drought metrics and the efficacy of existing forecasting systems in predicting such droughts on seasonal time scales. The climate change element of our study uses the 6th Coupled Model Intercomparison Project (CMIP6) ensemble to evaluate projected change in 3-month Standardized Precipitation Index (SPI3). We then carry out a quantitative assessment of seasonal forecast skill, utilizing 110 years of precipitation hindcasts generated by the European Centre for Medium Range Forecasting (ECMWF) system. Our findings indicate that persistent drought is projected to become more frequent over the 21st century in southern Africa, where the majority of elephants reside. Analysis of seasonal hindcasts indicates that, while the forecasts have greater skill than climatology, they remain highly uncertain. Previous work suggests that it may be possible to reduce this uncertainty by contextualizing forecasts within specific climate regimes. However, even with improved forecast skill, effective action hinges on the alignment of forecasts with the practical needs of conservation practitioners. Over the next decades, a co-production approach will be critical for leveraging seasonal forecasts for climate change adaptation within the conservation sector.
   Comparison between present day (left plot) and future occurrence of persistent drought (middle plot) in regions of Africa inhabited by elephants (shown as dotted grid points) suggests that the southern regions, where most elephants live, are projected to get drier. Seasonal forecasts have some skill (right plot), but the predictions will be uncertain. Further development, utilising a co-production approach may enable us to realise the potential of seasonal forecasts to facilitate early action in a more drought-prone future. image
C1 [Black, Emily; Boult, Victoria; Hirons, Linda; Woolnough, Steven] Univ Reading, Dept Meteorol, Reading, England.
   [Black, Emily; Boult, Victoria; Hirons, Linda; Woolnough, Steven] Natl Ctr Atmospher Sci, Leeds, England.
   [Boult, Victoria] Univ Reading, Sch Biol Sci, Reading, England.
C3 University of Reading; University of Leeds; UK Research & Innovation
   (UKRI); Natural Environment Research Council (NERC); NERC National
   Centre for Atmospheric Science; University of Reading
RP Black, E (corresponding author), Univ Reading, Dept Meteorol, Reading, England.
EM e.c.l.black@reading.ac.uk
RI Boult, Victoria/AAA-2972-2022; Hirons, Linda/LZE-6519-2025; Woolnough,
   Steven/LKK-9669-2024; Black, Emily/V-4122-2017
OI Hirons, Linda/0000-0002-1189-7576; Boult, Victoria/0000-0001-7572-5469;
   Woolnough, Steven/0000-0003-0500-8514; Black, Emily/0000-0003-1344-6186
FU Natural Environment Research Council
FX The authors are grateful to Antje Weisheimer for her advice on the
   seasonal hindcasts.
CR Ahmadalipour A, 2018, SCI TOTAL ENVIRON, V644, P520, DOI 10.1016/j.scitotenv.2018.07.023
   Almazroui M, 2020, EARTH SYST ENVIRON, V4, P455, DOI 10.1007/s41748-020-00161-x
   Andersson L, 2020, WEATHER CLIM EXTREME, V28, DOI 10.1016/j.wace.2019.100241
   [Anonymous], 2019, GLOB ASS REP DIS RIS
   [Anonymous], 2017, Oxford Research Encyclopedia of Religion, DOI [DOI 10.1093/ACREFORE/9780199340378.013.35, DOI 10.1093/ACREFORE/9780190228620.013.513]
   Ayugi B, 2021, INT J CLIMATOL, V41, P6474, DOI 10.1002/joc.7207
   Becker A, 2013, EARTH SYST SCI DATA, V5, P71, DOI 10.5194/essd-5-71-2013
   Berg A, 2018, CURR CLIM CHANGE REP, V4, P180, DOI 10.1007/s40641-018-0095-0
   Black E, 2005, PHILOS T R SOC A, V363, P43, DOI 10.1098/rsta.2004.1474
   Black E, 2003, MON WEATHER REV, V131, P74, DOI 10.1175/1520-0493(2003)131<0074:AOSOTR>2.0.CO;2
   Black E, 2023, FRONT CLIM, V4, DOI 10.3389/fclim.2022.993511
   Boaz A., 2002, Evaluation, V8, P440, DOI [10.1177/13563890260620630, DOI 10.1177/13563890260620630]
   Boult V.L, 2023, Conserv. Biol., V37, DOI DOI 10.1111/COBI.14054
   Boult VL, 2020, METEOROL APPL, V27, DOI 10.1002/met.1959
   Boult VL, 2019, CONSERV SCI PRACT, V1, DOI 10.1111/csp2.87
   Boult VL, 2018, ECOL MODEL, V387, P187, DOI 10.1016/j.ecolmodel.2018.09.010
   Boult VLL, 2022, CLIM RISK MANAG, V35, DOI 10.1016/j.crm.2022.100402
   Braman LM, 2013, DISASTERS, V37, P144, DOI 10.1111/j.1467-7717.2012.01297.x
   Bremer S, 2019, CLIM SERV, V13, P42, DOI 10.1016/j.cliser.2019.01.003
   Carter S, 2019, CO PRODUCTION AFRICA
   Chase MJ, 2016, PEERJ, V4, DOI 10.7717/peerj.2354
   Cook C, 2004, CLIM RES, V26, P17, DOI 10.3354/cr026017
   Cook KH, 2020, CLIM DYNAM, V55, P1759, DOI 10.1007/s00382-020-05350-y
   de Andrade FM, 2021, WEATHER FORECAST, V36, P265, DOI 10.1175/WAF-D-20-0054.1
   de Perez EC, 2016, HYDROL EARTH SYST SC, V20, P3549, DOI 10.5194/hess-20-3549-2016
   Dietze MC, 2018, P NATL ACAD SCI USA, V115, P1424, DOI 10.1073/pnas.1710231115
   Dione C, 2022, CLIM SERV, V28, DOI 10.1016/j.cliser.2022.100326
   Dosio A, 2017, CLIM DYNAM, V49, P493, DOI 10.1007/s00382-016-3355-5
   Dudley JP, 2001, AFR J ECOL, V39, P187, DOI 10.1046/j.0141-6707.2000.00297.x
   Dunning CM, 2018, J CLIMATE, V31, P9719, DOI [10.1175/JCLI-D-18-0102.1, 10.1175/jcli-d-18-0102.1]
   Endris HS, 2019, CLIM DYNAM, V52, P2029, DOI 10.1007/s00382-018-4239-7
   Eyring V, 2016, GEOSCI MODEL DEV, V9, P1937, DOI 10.5194/gmd-9-1937-2016
   Foley C, 2008, BIOL LETTERS, V4, P541, DOI 10.1098/rsbl.2008.0370
   Funk C, 2019, B AM METEOROL SOC, V100, P1011, DOI 10.1175/BAMS-D-17-0233.1
   Gissila T, 2004, INT J CLIMATOL, V24, P1345, DOI 10.1002/joc.1078
   Gudoshava M, 2022, CLIM SERV, V27, DOI 10.1016/j.cliser.2022.100319
   Gudoshava M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab6b33
   Harris RMB, 2018, NAT CLIM CHANGE, V8, P579, DOI 10.1038/s41558-018-0187-9
   Hirons L, 2023, WEATHER, V78, P148, DOI 10.1002/wea.4381
   Hirons L, 2021, CLIM SERV, V23, DOI 10.1016/j.cliser.2021.100246
   Hirons L, 2018, J CLIMATE, V31, P6611, DOI 10.1175/JCLI-D-17-0804.1
   Hulme M, 2001, CLIM RES, V17, P145, DOI 10.3354/cr017145
   IUCN SSC African Elephant Specialist Group, 2021, Loxodonta africana (spatial data)
   Keyantash J, 2023, The climate data guide: Standardized Precipitation Index (SPI)
   Lawal KA, 2021, FRONT CLIM, V3, DOI 10.3389/fclim.2021.712502
   Le PVV, 2023, NAT COMMUN, V14, DOI 10.1038/s41467-023-39463-9
   Lee PC, 2022, BEHAV ECOL, V33, P408, DOI 10.1093/beheco/arab148
   Lemos MC, 2012, NAT CLIM CHANGE, V2, P789, DOI [10.1038/NCLIMATE1614, 10.1038/nclimate1614]
   LIVEZEY RE, 1983, MON WEATHER REV, V111, P46, DOI 10.1175/1520-0493(1983)111<0046:SFSAID>2.0.CO;2
   Loarie SR, 2009, BIOL CONSERV, V142, P3086, DOI 10.1016/j.biocon.2009.08.008
   Lyon B, 2017, GEOPHYS MONOGR SER, V226, P265
   MacLeod D, 2021, ATMOS SCI LETT, V22, DOI 10.1002/asl.1015
   Maidment RI, 2017, SCI DATA, V4, DOI 10.1038/sdata.2017.63
   Masih I, 2014, HYDROL EARTH SYST SC, V18, P3635, DOI 10.5194/hess-18-3635-2014
   Mathivha FI, 2017, JAMBA-J DISASTER RIS, V9
   Mayberry AL, 2017, CONSERV SOC, V15, P280, DOI 10.4103/cs.cs_16_132
   Moron V, 2020, NPJ CLIM ATMOS SCI, V3, DOI 10.1038/s41612-020-0107-3
   Naidoo R, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms13379
   Nicholson SE, 2017, REV GEOPHYS, V55, P590, DOI 10.1002/2016RG000544
   Okello MM, 2016, J ARID ENVIRON, V135, P64, DOI 10.1016/j.jaridenv.2016.08.012
   Osima S, 2018, ENVIRON RES LETT, V13, DOI 10.1088/1748-9326/aaba1b
   Owen-Smith R.N., 1988, P1
   Pitts GC., 1968, BODY COMPOSITION ANI, P45
   Poterie ATD, 2023, CLIM RISK MANAG, V39, DOI 10.1016/j.crm.2023.100476
   Pretorius Y, 2012, OIKOS, V121, P2110, DOI 10.1111/j.1600-0706.2012.19680.x
   Price R.A., 2017, The Contribution of Wildlife to the Economies of Sub Saharan Africa. K4D Helpdesk Report
   Sánchez CA, 2018, ECOL LETT, V21, P1869, DOI 10.1111/ele.13160
   Schneider U, 2017, ATMOSPHERE-BASEL, V8, DOI 10.3390/atmos8030052
   Shaffer LJ, 2019, FRONT ECOL EVOL, V6, DOI 10.3389/fevo.2018.00235
   Sibly RM, 2013, METHODS ECOL EVOL, V4, P151, DOI 10.1111/2041-210x.12002
   Tadesse T, 2008, NAT RESOUR FORUM, V32, P265, DOI 10.1111/j.1477-8947.2008.00211.x
   Talib J, 2023, Q J ROY METEOR SOC, V149, P1890, DOI 10.1002/qj.4487
   Trisos CH., 2022, Climate Change 2022: Impacts, P1285, DOI [DOI 10.1017/9781009325844.011, 10.1017/9781009325844.011]
   Tulloch AIT, 2020, GLOBAL CHANGE BIOL, V26, P5816, DOI 10.1111/gcb.15272
   United Nations, 2015, No.A/RES/70/1.
   Urban MC, 2015, SCIENCE, V348, P571, DOI 10.1126/science.aaa4984
   van de Water A, 2022, ECOSYST SERV, V58, DOI 10.1016/j.ecoser.2022.101488
   van Ginkel M, 2021, CLIMATE, V9, DOI 10.3390/cli9090134
   Vaughan C, 2014, WIRES CLIM CHANGE, V5, P587, DOI 10.1002/wcc.290
   Vincent K, 2020, NAT CLIM CHANGE, V10, P877, DOI 10.1038/s41558-020-00910-w
   Visman E., 2018, Underpinning principles and ways of working that enable coproduction: reviewing the role of research
   Visman E., 2022, Institutionalising coproduction of weather and climate services: learning from the African SWIFT and ForPAc projects
   Walker DP, 2019, CLIM DYNAM, V53, P4911, DOI 10.1007/s00382-019-04835-9
   Wato YA, 2016, BIOL CONSERV, V203, P89, DOI 10.1016/j.biocon.2016.09.007
   Weisheimer A, 2020, B AM METEOROL SOC, V101, pE1413, DOI 10.1175/BAMS-D-19-0019.1
   White CJ, 2022, B AM METEOROL SOC, V103, pE1448, DOI 10.1175/BAMS-D-20-0224.1
   Winsemius HC, 2014, HYDROL EARTH SYST SC, V18, P1525, DOI 10.5194/hess-18-1525-2014
   WMO, 2022, Early warnings for all: executive action plan 20232027 (the UN global early warning initiative for the implementation of climate adaptation)
   Young M, 2020, ENVIRON RES LETT, V15, DOI 10.1088/1748-9326/ab94e9
   Zaitchik BF, 2017, ATMOS RES, V184, P88, DOI 10.1016/j.atmosres.2016.10.002
   Zhao TB, 2017, CLIMATIC CHANGE, V144, P535, DOI 10.1007/s10584-016-1742-x
NR 91
TC 2
Z9 2
U1 4
U2 5
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1350-4827
EI 1469-8080
J9 METEOROL APPL
JI Meteorol. Appl.
PD MAR
PY 2024
VL 31
IS 2
AR e2190
DI 10.1002/met.2190
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA MC2A8
UT WOS:001191351400001
OA gold
DA 2025-01-10
ER

PT J
AU Xing, YC
   Li, YZ
   Bai, P
   Zhuang, JC
   Feng, AQ
   Huang, MJ
   Yan, HW
AF Xing, Yincong
   Li, Yanzhong
   Bai, Peng
   Zhuang, Jiacheng
   Feng, Aiqing
   Huang, Manjie
   Yan, Haiwen
TI Spatiotemporal variations of meteorological drought and its dominant
   factors in different climate regions for the first two decades of the
   twenty-first century
SO THEORETICAL AND APPLIED CLIMATOLOGY
LA English
DT Article
ID POTENTIAL EVAPOTRANSPIRATION; SOUTHWEST CHINA; PRECIPITATION;
   VARIABILITY; EVOLUTION; TRENDS; SHOW; EAST
AB Drought events have become increasingly frequent and intensive due to the combined influence of climate change and anthropogenic activities. However, it remains unclear how meteorological drought characteristics (duration, severity, and intensity) respond to the changing environment and what are the dominant factors determining the drought evolution in different climate regions. Here, we divide mainland China into four sub-climatic regions, namely the Humid region (HR), Transition region (TR), Arid region (AR), and Tibetan Plateau (TP), based on the aridity index and geomorphology. Then systematically investigate the spatiotemporal patterns of drought characteristics in different climate regions over China (during 2000-2019) based on the SPEI and run theory. And the contribution of precipitation (Pre) and potential evapotranspiration (PET) to drought characteristics are quantitatively analyzed using a detrended numerical experiment method. We find that (1) a pattern of "dry gets drier, wet gets wetter" was found in China. (2) Meteorological drought characteristics exhibit apparent regional heterogeneity: droughts in AR are of long duration and high severity, while droughts in HR and TR show a pattern of high frequency. (3) An increase in the annual Pre (PET) resulted in increases (decreases) in average SPEI in China of 45.18% (31.62%). Therefore, Pre is the dominant factor determining the increase of SPEI over China. For the four sub-climatic regions, Pre is the dominant factor in the increase of SPEI in TR and HR, with the contribution of 41.64% and 60.16%. PET is the dominant factor in the decrease of SPEI in AR, with the contribution of 50.11%. The contributions of Pre (45.09%) and PET (44.09%) in TP are roughly equivalent. These findings provide valuable insights for policymakers in shaping climate change adaptation and mitigation strategies. By understanding the leading meteorological factors influencing drought, policymakers can implement effective measures to minimize the influence of disasters.
C1 [Xing, Yincong; Li, Yanzhong; Zhuang, Jiacheng; Huang, Manjie; Yan, Haiwen] Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing 210044, Peoples R China.
   [Bai, Peng] Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Feng, Aiqing] China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China.
C3 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, Sch Hydrol & Water Resources, Nanjing 210044, Peoples R China.
EM liyz_egi@163.com
FU the National Natural Science Foundation of China [2023YFC3206801];
   National Key R&D Programe of China [2021xjkk0806]; Third Xinjiang
   Scientific Expedition Program; Youth Open Project of China
   Meteorological Administration Key Laboratory for Climate Prediction
   Studies [CXFZ2022J068]; China Meteorological Administration Special
   Foundation for Innovation and Development
FX This research was supported by the National Key R&D Programe of China
   (2023YFC3206801), the Third Xinjiang Scientific Expedition Program
   (No.2021xjkk0806), and the Youth Open Project of China Meteorological
   Administration Key Laboratory for Climate Prediction Studies, the China
   Meteorological Administration Special Foundation for Innovation and
   Development (CXFZ2022J068). We would also like to thank the journal
   editors and reviewers for their constructive suggestions and comments.
CR ADAMU M, 2022, CLIM DYNAM, P1
   Allen R. G., 1998, FAO Irrigation and Drainage Paper
   Bai P, 2023, J HYDROL, V617, DOI 10.1016/j.jhydrol.2022.128856
   Bai P, 2020, WATER RESOUR RES, V56, DOI 10.1029/2019WR027019
   Chen X., 2022, River, V1, P162, DOI [10.1002/rvr2.23, DOI 10.1002/RVR2.23]
   Ficklin DL, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/044009
   Guo BB, 2022, WATER SA, V48, P324, DOI 10.17159/wsa/2022.v48.i3.3884
   Heim RR, 2002, B AM METEOROL SOC, V83, P1149, DOI 10.1175/1520-0477-83.8.1149
   Huang YJ, 2023, INT J CLIMATOL, V43, P1980, DOI 10.1002/joc.7957
   Hutchinson M.F., 2004, Anusplin version 4.2 user guide, P54
   Jin DC, 2013, J CLIMATE, V26, P8210, DOI 10.1175/JCLI-D-12-00652.1
   Kendall M. G., 1948, Rank correlation methods.
   Li BF, 2016, ATMOS RES, V167, P275, DOI 10.1016/j.atmosres.2015.08.017
   Li LC, 2020, J HYDROMETEOROL, V21, P1513, DOI 10.1175/JHM-D-19-0290.1
   Li YZ, 2019, SCI TOTAL ENVIRON, V664, P824, DOI 10.1016/j.scitotenv.2019.02.011
   Li Yonghua, 2009, Acta Meteorologica Sinica, V67, P122
   Li YG, 2019, THEOR APPL CLIMATOL, V138, P743, DOI 10.1007/s00704-019-02859-z
   Liu ChangMing Liu ChangMing, 2002, Mitigation and Adaptation Strategies for Global Change, V7, P203, DOI 10.1023/A:1024408310869
   Liu LB, 2019, INT J CLIMATOL, V39, P50, DOI 10.1002/joc.5781
   Liu XF, 2018, J HYDROL, V564, P984, DOI 10.1016/j.jhydrol.2018.07.077
   Liu Y, 2023, ENVIRON RES LETT, V18, DOI 10.1088/1748-9326/acfe21
   Liu YJ, 2021, INT J DISAST RISK RE, V52, DOI 10.1016/j.ijdrr.2020.101948
   Liu ZY, 2016, INT J CLIMATOL, V36, P2886, DOI 10.1002/joc.4526
   Lu E, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2011JD015706
   [罗伦 Luo Lun], 2013, [生态学报, Acta Ecologica Sinica], V33, P1031
   Ma B, 2020, ATMOS RES, V246, DOI 10.1016/j.atmosres.2020.105108
   Mallya G, 2016, WEATHER CLIM EXTREME, V12, P43, DOI 10.1016/j.wace.2016.01.002
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   MCKEE TB, 1993, P 8 C APPL CLIM AN C
   Milewska EJ, 2005, ATMOS OCEAN, V43, P49, DOI 10.3137/ao.430104
   Mishra AK, 2010, J HYDROL, V391, P204, DOI 10.1016/j.jhydrol.2010.07.012
   Naumann G, 2018, GEOPHYS RES LETT, V45, P3285, DOI 10.1002/2017GL076521
   Palmer W.C., 1968, WEATHERWISE, V21, P156, DOI [10.1080/00431672.1968.9932814, DOI 10.1080/00431672.1968.9932814]
   Park CE, 2017, ATMOS CHEM PHYS, V17, P10467, DOI 10.5194/acp-17-10467-2017
   Rim CS, 2013, INT J CLIMATOL, V33, P2799, DOI 10.1002/joc.3628
   Shi XL, 2023, ATMOSPHERE-BASEL, V14, DOI 10.3390/atmos14050790
   Sternberg T, 2011, NATURE, V472, P169, DOI 10.1038/472169d
   Sun SL, 2016, J GEOPHYS RES-ATMOS, V121, P9342, DOI 10.1002/2016JD025276
   Thornthwaite CW, 1948, GEOGR REV, V38, P55, DOI 10.2307/210739
   Trenberth KE, 2014, NAT CLIM CHANGE, V4, P17, DOI 10.1038/NCLIMATE2067
   Vicente-Serrano SM, 2010, J CLIMATE, V23, P1696, DOI 10.1175/2009JCLI2909.1
   Wan LL, 2023, SCI TOTAL ENVIRON, V901, DOI 10.1016/j.scitotenv.2023.166362
   Wang L, 2015, ATMOS OCEAN SCI LETT, V8, P339, DOI 10.3878/AOSL20150043
   Wang QF, 2021, EARTH SYST SCI DATA, V13, P331, DOI 10.5194/essd-13-331-2021
   Wang WJ, 2021, THEOR APPL CLIMATOL, V143, P87, DOI 10.1007/s00704-020-03394-y
   Wang YP, 2022, J HYDROL, V605, DOI 10.1016/j.jhydrol.2021.127310
   Wang ZL, 2018, AGR FOREST METEOROL, V249, P149, DOI 10.1016/j.agrformet.2017.12.077
   Wang ZL, 2017, SCI TOTAL ENVIRON, V579, P314, DOI 10.1016/j.scitotenv.2016.11.098
   Wu MJ, 2020, INT J CLIMATOL, V40, P4781, DOI 10.1002/joc.6489
   Wu YJ, 2016, INT J CLIMATOL, V36, P1387, DOI 10.1002/joc.4432
   Xu GD, 2023, J HYDROL, V626, DOI 10.1016/j.jhydrol.2023.130245
   Xu JQ, 2021, INT J CLIMATOL, V41, P1039, DOI 10.1002/joc.6728
   Yang J, 2012, METEOROL ATMOS PHYS, V115, P173, DOI 10.1007/s00703-011-0172-6
   Yang L, 2022, HYDROL RES, V53, P29, DOI 10.2166/nh.2021.069
   Yang Y, 2021, AGR WATER MANAGE, V244, DOI 10.1016/j.agwat.2020.106545
   Yang ZL, 2022, J HYDROL, V613, DOI 10.1016/j.jhydrol.2022.128446
   Yao JQ, 2018, PEERJ, V6, DOI 10.7717/peerj.4926
   Yao N, 2020, SCI TOTAL ENVIRON, V704, DOI 10.1016/j.scitotenv.2019.135245
   Yevjevich V., 1967, Colorado State University, Fort Collins, DOI DOI 10.1016/0022-1694(69)90110-3
   Yin YH, 2010, THEOR APPL CLIMATOL, V101, P19, DOI 10.1007/s00704-009-0197-7
   Zeng ZQ, 2020, WATER-SUI, V12, DOI 10.3390/w12082097
   Zhang D, 2020, J GEOPHYS RES-ATMOS, V125, DOI 10.1029/2020JD032404
   Zhang LL, 2021, ADV METEOROL, V2021, DOI 10.1155/2021/7378196
   Zhang Q, 2020, J METEOROL RES-PRC, V34, P460, DOI 10.1007/s13351-020-9829-8
   Zhang WJ, 2014, GEOPHYS RES LETT, V41, P4020, DOI 10.1002/2014GL060130
   Zhang WJ, 2013, J CLIMATE, V26, P8392, DOI 10.1175/JCLI-D-12-00851.1
   Zhang YJ, 2019, ECOL INDIC, V96, P448, DOI 10.1016/j.ecolind.2018.09.033
   Zhao JC, 2021, NAT HAZARDS, V109, P615, DOI 10.1007/s11069-021-04851-1
   Zhao S., 1983, ACTA GEOGR SIN, V38, P1, DOI [10.11821/xb198301001, DOI 10.11821/XB198301001]
   [郑景云 ZHENG Jingyun], 2010, [地理学报, Acta Geographica Sinica], V65, P3
   Zhou K, 2021, ECOL INDIC, V131, DOI 10.1016/j.ecolind.2021.108207
NR 71
TC 2
Z9 2
U1 8
U2 17
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 MAY
PY 2024
VL 155
IS 5
BP 3631
EP 3645
DI 10.1007/s00704-024-04833-w
EA FEB 2024
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA OU4L0
UT WOS:001153607600001
DA 2025-01-10
ER

PT J
AU Bouramdane, AA
AF Bouramdane, Ayat-Allah
TI Crafting an optimal portfolio for sustainable hydrogen production
   choices in Morocco
SO FUEL
LA English
DT Article
DE Analytic hierarchy process (AHP); Hydrogen production technologies;
   Morocco; Multi-criteria decision-making (MCDM); Sustainability
ID NATURAL-GAS; CAPTURE; AHP
AB This research is driven by the imperative for a comprehensive evaluation of hydrogen production technologies in Morocco, in response to the country's commitment to the Paris Climate Agreement and the need for sustainable energy solutions. Morocco possesses abundant renewable resources and relies on fossil fuel imports, making it essential to explore locally produced energy sources. The study addresses knowledge gaps by evaluating various hydrogen production technologies based on a range of criteria and sub-criteria specific to Morocco using the Multi-Criteria Decision-Making Analytic Hierarchy Process (MCDM-AHP). Technology feasibility, economic viability, environmental impact, and social acceptance are identified as crucial criteria, with efficiency, greenhouse gas emissions, and community engagement being particularly critical. We identify that high-performing technologies, including T1 (Autothermal Reforming with Carbon Capture and Storage), stand out as highly effective and suitable for Moroccan hydrogen production. Moderate-performing technologies, such as T2 (photovoltaic), T3 (concentrated solar power), T6 (offshore floating photovoltaic), and T8 (hydrogen from hydro), show promise with room for improvement. Low-performing technologies, like T4 (onshore wind-driven), T5 (offshore wind-driven), T7 (hydrogen from marine energies), T9 (biomass gasification), T10 (geothermal-driven), and T11 (nuclear-driven), face challenges in meeting the criteria and may be less suitable for Moroccan hydrogen production. Stakeholder perspectives significantly influence technology performance and suitability, with the study underscoring the importance of renewable penetration scenarios, climate change adaptation, and regional suitability. The practical implications of this research include guiding decision-makers, enhancing energy independence, aligning with climate goals, and promoting efficient resource allocation. However, the study acknowledges limitations related to data accuracy, evolving technologies, and contextual factors. Future research directions could focus on long-term assessments, socio-economic and environmental trade-offs, and international collaboration in hydrogen technology transfer to contribute to a greener and more sustainable future.
C1 [Bouramdane, Ayat-Allah] Int Univ Rabat IUR, Coll Engn & Architecture, Lab Renewable Energies & Adv Mat LERMA, IUR Campus,Technopolis Pk, Rocade Rabat Sale 11103, Sala Al Jadida, Morocco.
RP Bouramdane, AA (corresponding author), Int Univ Rabat IUR, Coll Engn & Architecture, Lab Renewable Energies & Adv Mat LERMA, IUR Campus,Technopolis Pk, Rocade Rabat Sale 11103, Sala Al Jadida, Morocco.
EM ayatallahbouramdane@gmail.com
RI Bouramdane, Ayat-Allah/KVY-3688-2024
CR Abanades S, 2019, CHEMENGINEERING, V3, DOI 10.3390/chemengineering3030063
   Abdel-Basset M, 2021, INT J HYDROGEN ENERG, V46, P4567, DOI 10.1016/j.ijhydene.2020.10.232
   Adar E, 2021, CLEAN TECHNOL ENVIR, V23, P2615, DOI 10.1007/s10098-021-02176-y
   [Anonymous], ICGH2023 1 INT C GRE
   Antonini C, 2020, SUSTAIN ENERG FUELS, V4, P2967, DOI 10.1039/d0se00222d
   Badgett A, 2024, ADV SUSTAIN SYST, V8, DOI 10.1002/adsu.202300091
   Bahadori A, 2019, PETROL SCI TECHNOL, V37, P1425, DOI 10.1080/10916466.2019.1587466
   Bharsakade RS, 2021, OPSEARCH, V58, P610, DOI 10.1007/s12597-020-00490-5
   Biagi V, 2021, 2021 2 INT C IND ENG
   Borup R, 2021, ELECTROCHEM SOC INTE, V30, P79, DOI 10.1149/2.F18214IF
   Bouramdane A.A., 2022, World Acad Sci Eng Technol Int J Energy Power Eng, V17, DOI [10.5281/zenodo.7324107, DOI 10.5281/ZENODO.7324107]
   Bouramdane A.A., 2022, World Acad Sci Eng Technol Int J Energy Power Eng, V17, DOI [10.5281/zenodo.7324191, DOI 10.5281/ZENODO.7324191]
   Bouramdane A.A., 2022, World Acad Sci Eng Technol Int J Energy Power Eng, V17, DOI [10.5281/zenodo.7324223, DOI 10.5281/ZENODO.7324223]
   Bouramdane A.-A., 2023, Climate resilience: insights from global negotiations and Moroccos path to sustainability
   Bouramdane A.-A., 2023, J. Cybersecur. Priv., V3, P662, DOI DOI 10.3390/JCP3040031
   Bouramdane A.A, 2021, Ph.D. thesis
   Bouramdane A-A, 2023, Potential site for offshore floating photovoltaic systems in Morocco: Evaluation criteria required considering climate change effects to achieve the energy trilemma
   Bouramdane A-A, 2023, Hydrogen production technologies: Modeling, pros and cons, applications, suitable regions, and unveiling sustainability and economics through LCA and LCC
   Bouramdane A-A, 2018, Master Thesis, DOI [10.13140/RG.2.2.17832.24324, DOI 10.13140/RG.2.2.17832.24324]
   Bouramdane A-A, 2023, How to manage vulnerabilities in the renewable energy environment?, DOI [10.5281/zenodo.7730062, DOI 10.5281/ZENODO.7730062]
   Bouramdane A-A, 2023, Climate risks and energy transition in morocco: vulnerability to climate losses and damages and uncertainty in the renewable electricity mix under different penetration
   Bouramdane A-A, 2023, EGU GEN ASSEMBLY 202, DOI [10.5194/egusphere-egu23-2456, DOI 10.5194/EGUSPHERE-EGU23-2456]
   Bouramdane A-A, 2021, Thesis Chapter, DOI [10.5281/zenodo.7594129, DOI 10.5281/ZENODO.7594129]
   Bouramdane AA, 2023, SMART CITIES-BASEL, V6, P2849, DOI 10.3390/smartcities6050128
   Bouramdane AA, 2023, SUSTAINABILITY-BASEL, V15, DOI 10.3390/su15010690
   Brans JP, 2006, PROMETHEE methds
   Buckley J. J., 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), P1009, DOI 10.1109/FUZZY.1999.793090
   Capurso T, 2022, ENERG CONVERS MANAGE, V251, DOI 10.1016/j.enconman.2021.114898
   Catalysis, About us
   Chan FTS, 2008, INT J PROD RES, V46, P3825, DOI 10.1080/00207540600787200
   Chang ACC, 2011, INT J HYDROGEN ENERG, V36, P14252, DOI 10.1016/j.ijhydene.2011.05.105
   Chen YS, 2019, J AMB INTEL HUM COMP, V10, P2669, DOI 10.1007/s12652-018-0973-2
   climateactiontracker.org, Morocco World News
   DENG JL, 1982, SYST CONTROL LETT, V1, P288, DOI 10.1016/S0167-6911(82)80025-X
   French S, 1997, J OPER RES SOC, V48, P1257
   Ganguli AA, 2023, Frontiers in thermal engineering
   Guilbert D, 2021, CLEAN TECHNOL-BASEL, V3, P881, DOI 10.3390/cleantechnol3040051
   Harvego EA, 2012, System evaluations and life-cycle cost analyses for high-temperature electrolysis hydrogen production facilities
   Hashemizadeh A., 2019, INT J ENVIRON SCI TE, P1
   Heo E, 2012, INT J HYDROGEN ENERG, V37, P17655, DOI 10.1016/j.ijhydene.2012.09.055
   HYGEAR, steam methane reforming
   IEA, 2023, National hydrogen strategy
   Isik G, 2024, ENVIRON DEV SUSTAIN, V26, P18929, DOI 10.1007/s10668-023-03792-y
   Jamieson M, 2023, Steam methane reforming (SMR) operations
   Kargbo HO, 2021, APPL ENERG, V302, DOI 10.1016/j.apenergy.2021.117567
   Khan MA, 2021, ENERG ENVIRON SCI, V14, P4831, DOI 10.1039/d1ee00870f
   Khzouz M, 2020, ENERGIES, V13, DOI 10.3390/en13153783
   Kim J, 2021, IND ENG CHEM RES, V60, P7257, DOI 10.1021/acs.iecr.0c06265
   Kojima H, 2023, INT J HYDROGEN ENERG, V48, P4572, DOI 10.1016/j.ijhydene.2022.11.018
   Lari HR, 2018, Experimental investigation of methane partial oxidation for hydrogen production
   Lee S, 2022, J Korean Soc Environ Eng
   Li XF, 2022, INT J HYDROGEN ENERG, V47, P33619, DOI 10.1016/j.ijhydene.2022.07.249
   Linde, partial oxidation
   Mati A, 2023, SMART ENERGY-UK, V11, DOI 10.1016/j.segy.2023.100114
   Matus E, 2021, ENERGIES, V14, DOI 10.3390/en14165176
   McKenzie L, 2023, Eng Future Sustain
   Nahar G., 2013, Recent Pat. Chem. Eng, P8, DOI DOI 10.2174/2211334711306010003
   Thanh NV, 2022, SUSTAINABILITY-BASEL, V14, DOI 10.3390/su14116565
   Opricovic S, 2004, EUR J OPER RES, V156, P445, DOI [10.1016/S0377-2217(03)00020-1, 10.1016/s0377-2217(03)00020-1]
   Pilavachi PA, 2009, INT J HYDROGEN ENERG, V34, P5294, DOI 10.1016/j.ijhydene.2009.04.026
   ROY B, 1968, REV FR INFORM RECH O, V2, P57
   Rumayor M, 2022, J CLEAN PROD, V336, DOI 10.1016/j.jclepro.2022.130430
   Saaty T., 1980, The Analytical Hierarchy Process
   Saaty TL, 2006, INT SER OPER RES MAN, V95, P1
   Sadjadi SJ, 2018, Decis Sci Lett, V7, P323, DOI [DOI 10.1016/J.OMEGA.2014.11.009, 10.5267/j.dsl.2018.3.003, DOI 10.5267/J.DSL.2018.3.003]
   Siskos P, 2022, ENERG SOURCE PART B, V17, DOI 10.1080/15567249.2022.2101712
   Sun D, 2023, Sustainability
   Thengane SK, 2014, INT J HYDROGEN ENERG, V39, P15293, DOI 10.1016/j.ijhydene.2014.07.107
   Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1
   Wang ZQ, 2022, INT J HYDROGEN ENERG, V47, P18619, DOI 10.1016/j.ijhydene.2022.04.068
   Wutthithanyawat C, 2014, APPL MECH MATER, V541-542, P108, DOI 10.4028/www.scientific.net/AMM.541-542.108
   Xu JZ, 2022, Trends Renew Energy
   Yacine B, 2023, Int J Adv Nat Sci Eng Res
   Yoon K.P., 1995, Multiple Attribute Decision Making: An Introduction
   Zeleny M., 2004, Multiple criteria decision making (MCDM)
   Zhang S, 2022, Energy Eng
   Zhao YF, 2023, ENERGIES, V16, DOI 10.3390/en16103992
NR 77
TC 6
Z9 6
U1 5
U2 11
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0016-2361
EI 1873-7153
J9 FUEL
JI Fuel
PD FEB 15
PY 2024
VL 358
AR 130292
DI 10.1016/j.fuel.2023.130292
EA NOV 2023
PN B
PG 20
WC Energy & Fuels; Engineering, Chemical
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Energy & Fuels; Engineering
GA Y9OK1
UT WOS:001108479000001
DA 2025-01-10
ER

PT J
AU Masoud, AA
AF Masoud, Alaa A.
TI Spatio-temporal patterns and trends of the air pollution integrating
   MERRA-2 and in situ air quality data over Egypt (2013-2021)
SO AIR QUALITY ATMOSPHERE AND HEALTH
LA English
DT Article
DE Seasonal Mann-Kendall; Air quality; Annual change rate; Egypt
ID AEROSOL OPTICAL DEPTH; NONPARAMETRIC-TESTS; REANALYSIS; SATELLITE;
   EMISSIONS; EXPOSURE; CHINA; VARIABILITY; PRODUCTS; MODELS
AB For best-informed decision-making to improve climate change adaptation and reduce present and future air pollution health hazards, it is essential to identify major trends in spatiotemporal air quality patterns of common air contaminants. This study examined the patterns and trends of SO2, NO2, CO, O-3, and particulate matter (PM) air pollutants over 91 monitoring stations in Egypt during 93 months in the August (2013)-April (2021) period. In situ data with their monthly, seasonal, and yearly spatial trends are defined and used to validate the counterpart satellite reanalysis MERRA-2 data. The Mann-Kendall test characterized the seasonal monotonic trends and their Sen's slope, and annual change rate for both data series. Regression analysis of MERRA-2 against in situ concentrations of SO2 and PM10 revealed underestimation with RMSE values of 13.38 g m(-3) and 69.46 g m(-3), respectively. Local plumes with variable magnitudes characterized distinct industrial places clarified by patterns of in situ pollutants. As a result of the COVID-19 lockdown, the in situ air pollutants showed a considerable regional decline in the yearly average in 2020 compared to the years before. The in situ air pollutants showed annual trends far more significant than those seen in the MERRA-2 data. The shortcomings of the few and spatiotemporal discontinuities of the in situ contaminants are addressed by MERRA-2 air quality products. The in situ data made trends and magnitudes clear that were hidden in their MERRA-2 counterparts. The results clarified air pollution patterns, trends, and spatial variability over Egypt that are essential for climate risk management and for reducing environmental/health concerns.
C1 [Masoud, Alaa A.] Tanta Univ, Fac Sci, Geol Dept, Remote Sensing Lab, Tanta 31527, Egypt.
C3 Egyptian Knowledge Bank (EKB); Tanta University
RP Masoud, AA (corresponding author), Tanta Univ, Fac Sci, Geol Dept, Remote Sensing Lab, Tanta 31527, Egypt.
EM alaa_masoud@science.tanta.edu.eg
RI Masoud, Alaa/H-9615-2019
OI Masoud, Alaa/0000-0003-3935-9750
CR [Anonymous], CAIR TRAFF CONG STUD
   [Anonymous], 2019, EGYPT INDEPENDENT NE
   Apte JS, 2018, ENVIRON SCI TECH LET, V5, P546, DOI 10.1021/acs.estlett.8b00360
   ARIJ, 2020, SUG CHOK KOM OMB
   Barnaba F, 2022, ENVIRON INT, V163, DOI 10.1016/j.envint.2022.107204
   BasyoniY, 2016, TRAFFIC DATACENTER B
   Bosilovich MG, 2016, NASATM2015104606 GLO, V43
   Buchard V, 2017, J CLIMATE, V30, P6851, DOI [10.1175/jcli-d-16-0613.1, 10.1175/JCLI-D-16-0613.1]
   Burnett R, 2018, P NATL ACAD SCI USA, V115, P9592, DOI 10.1073/pnas.1803222115
   Cabaneros SM, 2019, ENVIRON MODELL SOFTW, V119, P285, DOI 10.1016/j.envsoft.2019.06.014
   Chin M, 2002, J ATMOS SCI, V59, P461, DOI 10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO;2
   Cianconi P, 2020, FRONT PSYCHIATRY, V11, DOI 10.3389/fpsyt.2020.00074
   Colarco P, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012820
   Ding L, 2017, ENVIRON POLLUT, V220, P348, DOI 10.1016/j.envpol.2016.09.070
   EEAA REPORTS, 2000, KIMA FERT FERR PLANT
   EEAA Reports, 2006, AIR POLLUTION
   Egyptian Environmental Affairs Agency-EEAA, 2022, AIR QUAL REP
   Egyptian Environmental Affairs Agency-EEAA Reports, 2008, EG STAT ENV REP 2008
   EMEP status report, 2019, TRANSBOUNDARY PARTIC
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Forouzanfar MH, 2016, LANCET, V388, P1659, DOI 10.1016/S0140-6736(16)31679-8
   Gama C, 2020, ATMOSPHERE-BASEL, V11, DOI 10.3390/atmos11020134
   García-Franco JL, 2020, ATMOS ENVIRON, V222, DOI 10.1016/j.atmosenv.2019.117131
   Gelaro R, 2017, J CLIMATE, V30, P5419, DOI 10.1175/JCLI-D-16-0758.1
   Gilbert R., 1987, Statistical Methods for Environmental Pollution Monitoring, VVolume 320
   Global Health Data Exchange (GHDx), 2019, ABOUT US
   Gupta V, 2022, INT J ENV RES PUB HE, V19, DOI 10.3390/ijerph191912898
   Gupta V, 2022, STOCH ENV RES RISK A, V36, P3517, DOI 10.1007/s00477-022-02207-0
   Hänsel S, 2016, FRONT EARTH SC-SWITZ, V4, DOI 10.3389/feart.2016.00029
   Hao YH, 2017, INT J ENVIRON HEAL R, V27, P126, DOI 10.1080/09603123.2017.1292497
   Hipel K.W, 1994, Time series modeling of water resources and environmental systems
   HIRSCH RM, 1982, WATER RESOUR RES, V18, P107, DOI 10.1029/WR018i001p00107
   IMO, 2020, Greenhouse Gas Emissions.
   Industrial Development Authority (IDA), 2022, IND DEV ASW
   Institute for Health Metrics and Evaluation, 2019, SHAR DEATHS ATTR OUT
   International Maritime Organization-IMO, 2020, SULPH 2020 CUTT SULP
   Kchih H, 2015, AEROSOL AIR QUAL RES, V15, P454, DOI 10.4209/aaqr.2014.10.0255
   Kendall M. G., 1948, Rank correlation methods.
   KIMA-Aswan, 2019, PROJ KIMA 2
   Kong YD, 2021, OCEAN COAST MANAGE, V205, DOI 10.1016/j.ocecoaman.2021.105534
   Lelieveld J, 2015, NATURE, V525, P367, DOI 10.1038/nature15371
   Levelt PF, 2018, ATMOS CHEM PHYS, V18, P5699, DOI 10.5194/acp-18-5699-2018
   Liu Y, 2013, ATMOS ENVIRON, V68, P52, DOI 10.1016/j.atmosenv.2012.11.043
   Ma LM., 2014, CHIN ECON, V9, P42
   Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187
   Mannucci Pier Mannuccio, 2017, Int J Environ Res Public Health, V14, DOI 10.3390/ijerph14091048
   Martel JL, 2018, J CLIMATE, V31, P4241, DOI 10.1175/JCLI-D-17-0282.1
   McDuffie EE, 2020, EARTH SYST SCI DATA, V12, P3413, DOI 10.5194/essd-12-3413-2020
   Molod A, 2015, GEOSCI MODEL DEV, V8, P1339, DOI 10.5194/gmd-8-1339-2015
   Moulin C, 1998, J GEOPHYS RES-ATMOS, V103, P13137, DOI 10.1029/98JD00171
   Mukkavilli SK, 2019, ATMOS RES, V215, P149, DOI 10.1016/j.atmosres.2018.08.026
   Nasralla MM, 2001, EGYPTIAN ENV POLICY
   Nasralla MM, 1999, AIR POLLUTION PROBLE
   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
   Qin WH, 2019, ENVIRON POLLUT, V245, P853, DOI 10.1016/j.envpol.2018.11.063
   Randles CA, 2017, J CLIMATE, V30, P6823, DOI 10.1175/JCLI-D-16-0609.1
   Rodríguez S, 2001, ATMOS ENVIRON, V35, P2433, DOI 10.1016/S1352-2310(00)00496-9
   Seddiek IS, 2014, INT J NAV ARCH OCEAN, V6, P737, DOI 10.2478/IJNAOE-2013-0209
   SEN PK, 1968, J AM STAT ASSOC, V63, P1379
   Shin SK, 2019, ATMOS MEAS TECH, V12, P607, DOI 10.5194/amt-12-607-2019
   Sicard P, 2013, ATMOS ENVIRON, V79, P705, DOI 10.1016/j.atmosenv.2013.07.042
   Sitnov SA, 2020, ATMOS RES, V235, DOI 10.1016/j.atmosres.2019.104763
   Song SK, 2022, J CLEAN PROD, V347, DOI 10.1016/j.jclepro.2022.131298
   Song ZJ, 2018, ATMOS ENVIRON, V191, P70, DOI 10.1016/j.atmosenv.2018.08.012
   Stuch B, 2021, CLIM DEV, V13, P268, DOI 10.1080/17565529.2020.1760771
   Sui CB, 2020, J MAR SCI ENG, V8, DOI 10.3390/jmse8080588
   Sun EW, 2019, J ATMOS SOL-TERR PHY, V186, P8, DOI 10.1016/j.jastp.2019.01.019
   Takacs LL, 2015, NASATM2014104606 GLO, V37
   Tomczak A, 2016, INT J CANCER, V139, P1958, DOI 10.1002/ijc.30255
   Torbatian S, 2020, ATMOS POLLUT RES, V11, P429, DOI 10.1016/j.apr.2019.11.015
   UNEP, 2022, POLL ACT NOT DAT YOU
   VANBELLE G, 1984, WATER RESOUR RES, V20, P127, DOI 10.1029/WR020i001p00127
   Vedachalam S, 2022, FUEL, V310, DOI 10.1016/j.fuel.2021.122243
   Vera C, 2010, PROCEDIA ENVIRON SCI, V1, P275, DOI 10.1016/j.proenv.2010.09.017
   Vollset SE, 2020, LANCET, V396, P1285, DOI 10.1016/S0140-6736(20)30677-2
   Wei JC, 2021, P AG FALL M NEW ORL
   WHO, 2018, WHO 9 OUT 10 PEOPL W
   Winnes H, 2009, J AIR WASTE MANAGE, V59, P1391, DOI 10.3155/1047-3289.59.12.1391
   World Bank, 2021, RED AIR POLL GREAT C
   World Bank, 2019, AR REP EG COST ENV D
   World Health Organization,, 2018, Global Health Observatory
   World Health Organization, 2022, EG NONC DIS
   Xu XF, 2020, ATMOS ENVIRON, V222, DOI 10.1016/j.atmosenv.2019.117140
   Zhang Q, 2022, ENVIRON IMPACT ASSES, V94, DOI 10.1016/j.eiar.2022.106747
   Zhang Y, 2022, OCEAN COAST MANAGE, V219, DOI 10.1016/j.ocecoaman.2022.106064
   Zheng S, 2021, GEOHEALTH, V5, DOI 10.1029/2021GH000532
NR 86
TC 5
Z9 5
U1 1
U2 6
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 AUG
PY 2023
VL 16
IS 8
BP 1543
EP 1570
DI 10.1007/s11869-023-01357-6
EA MAY 2023
PG 28
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology
GA HY3G0
UT WOS:000989324000001
PM 37359392
OA Green Published, hybrid
DA 2025-01-10
ER

PT J
AU Pfeilsticker, TR
   Jones, RC
   Steane, DA
   Vaillancourt, RE
   Potts, BM
AF Pfeilsticker, Thais R.
   Jones, Rebecca C.
   Steane, Dorothy A.
   Vaillancourt, Rene E.
   Potts, Brad M.
TI Molecular insights into the dynamics of species invasion by
   hybridisation in Tasmanian eucalypts
SO MOLECULAR ECOLOGY
LA English
DT Article
DE admixture; climate change; dispersal mechanism; Eucalyptus amygdalina;
   Eucalyptus risdonii; genetics; species expansion
ID RISDONII HOOK-F; CLIMATE-CHANGE; REPRODUCTIVE ISOLATION; FLOWERING TIME;
   HYBRID ZONE; INTERSPECIFIC HYBRIDIZATION; EVOLUTIONARY RESPONSES;
   R-PACKAGE; INTROGRESSION; LANDSCAPE
AB In plants where seed dispersal is limited compared with pollen dispersal, hybridisation may enhance gene exchange and species dispersal. We provide genetic evidence of hybridisation contributing to the expansion of the rare Eucalyptus risdonii into the range of the widespread Eucalyptus amygdalina. These closely related tree species are morphologically distinct, and observations suggest that natural hybrids occur along their distribution boundaries and as isolated trees or in small patches within the range of E. amygdalina. Hybrid phenotypes occur outside the range of normal dispersal for E. risdonii seed, yet in some hybrid patches small individuals resembling E. risdonii occur and are hypothesised to be a result of backcrossing. Using 3362 genome-wide SNPs assessed from 97 individuals of E. risdonii and E. amygdalina and 171 hybrid trees, we show that (i) isolated hybrids match the genotypes expected of F-1/F-2 hybrids, (ii) there is a continuum in the genetic composition among the isolated hybrid patches from patches dominated by F-1/F-2-like genotypes to those dominated by E. risdonii-backcross genotypes, and (iii) the E. risdonii-like phenotypes in the isolated hybrid patches are most-closely related to proximal larger hybrids. These results suggest that the E. risdonii phenotype has been resurrected in isolated hybrid patches established from pollen dispersal, providing the first steps in its invasion of suitable habitat by long-distance pollen dispersal and complete introgressive displacement of E. amygdalina. Such expansion accords with the population demographics, common garden performance data, and climate modelling which favours E. risdonii and highlights a role of interspecific hybridisation in climate change adaptation and species expansion.
C1 [Pfeilsticker, Thais R.] Univ Tasmania, Sch Nat Sci, Private Bag 55, Hobart, Tas 7001, Australia.
   Univ Tasmania, ARC Training Ctr Forest Value, Hobart, Tas, Australia.
C3 University of Tasmania; University of Tasmania
RP Pfeilsticker, TR (corresponding author), Univ Tasmania, Sch Nat Sci, Private Bag 55, Hobart, Tas 7001, Australia.
EM thais.pfeilsticker@utas.edu.au
RI Vaillancourt, Rene/C-6123-2013; Steane, Dorothy/N-9940-2013;
   Pfeilsticker, Thais/AAE-4070-2019; Vaillancourt, Rene/J-7456-2014;
   Potts, Brad/C-6489-2013; Jones, Rebecca/J-7901-2014
OI Steane, Dorothy/0000-0002-8061-8454; Vaillancourt,
   Rene/0000-0002-1159-9149; Potts, Brad/0000-0001-6244-289X; Ribeiro
   Pfeilsticker, Thais/0000-0003-4690-4593; Jones,
   Rebecca/0000-0002-6491-1423
FU Australian Research Council Discovery Grant [DP160101650]
FX Australian Research Council Discovery Grant, Grant/Award Number:
   DP160101650
CR Abbott RJ, 2016, MOL ECOL, V25, P2325, DOI 10.1111/mec.13685
   Adams H.D., 2010, Eos Trans. AGU, V91, P153, DOI DOI 10.1029/2010EO170003
   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
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   Allen CD, 1998, P NATL ACAD SCI USA, V95, P14839, DOI 10.1073/pnas.95.25.14839
   Allen CD, 2010, FOREST ECOL MANAG, V259, P660, DOI 10.1016/j.foreco.2009.09.001
   Allendorf FW, 2001, TRENDS ECOL EVOL, V16, P613, DOI 10.1016/S0169-5347(01)02290-X
   Arnold ML, 2012, HEREDITY, V108, P159, DOI 10.1038/hdy.2011.65
   Arnold ML, 2017, TRENDS ECOL EVOL, V32, P601, DOI 10.1016/j.tree.2017.05.007
   Arnold ML, 2010, GENES-BASEL, V1, P9, DOI 10.3390/genes1010009
   ARNOLD ML, 1992, ANNU REV ECOL SYST, V23, P237, DOI 10.1146/annurev.es.23.110192.001321
   Baack E, 2015, NEW PHYTOL, V207, P968, DOI 10.1111/nph.13424
   Barbour RC, 2005, CONSERV GENET, V6, P253, DOI 10.1007/s10592-004-7849-z
   Beatty GE, 2010, DIVERS DISTRIB, V16, P1, DOI 10.1111/j.1472-4642.2009.00616.x
   Belahbib N, 2001, MOL ECOL, V10, P2003, DOI 10.1046/j.0962-1083.2001.01330.x
   Bellard C, 2013, GLOBAL CHANGE BIOL, V19, P3740, DOI 10.1111/gcb.12344
   Booth TH, 2017, AUST FORESTRY, V80, P208, DOI 10.1080/00049158.2017.1365402
   Booth TH, 2015, FOREST ECOL MANAG, V347, P18, DOI 10.1016/j.foreco.2015.03.002
   Booth TH, 2017, AUST J BOT, V65, P401, DOI 10.1071/BT17019
   Bradbury D, 2021, BIODIVERS CONSERV, V30, P619, DOI 10.1007/s10531-020-02106-2
   Bradley BA, 2010, TRENDS ECOL EVOL, V25, P310, DOI 10.1016/j.tree.2009.12.003
   Bragg JG, 2021, EVOL APPL, V14, P1225, DOI 10.1111/eva.13192
   Brennan AC, 2014, EVOL ECOL RES, V16, P475
   Breshears DD, 2009, FRONT ECOL ENVIRON, V7, P185, DOI 10.1890/080016
   Broadhurst L, 2007, AUST J BOT, V55, P250, DOI 10.1071/BT06127
   Buck R, 2022, PLANTS-BASEL, V11, DOI 10.3390/plants11070895
   Buggs RJA, 2007, HEREDITY, V99, P301, DOI 10.1038/sj.hdy.6800997
   Byrne M., 2008, Phylogeny, diversity and evolution of eucalypt, P303
   Byrne M, 2008, BIOL J LINN SOC, V93, P177, DOI 10.1111/j.1095-8312.2007.00946.x
   Canestrelli D, 2016, TRENDS ECOL EVOL, V31, P677, DOI 10.1016/j.tree.2016.06.010
   Cannon CH, 2020, NEW PHYTOL, V226, P978, DOI 10.1111/nph.16091
   Carney SE, 2000, EVOLUTION, V54, P462, DOI 10.1111/j.0014-3820.2000.tb00049.x
   Chen J, 2021, MOL PHYLOGENET EVOL, V154, DOI 10.1016/j.ympev.2020.106964
   Corlett RT, 2013, TRENDS ECOL EVOL, V28, P482, DOI 10.1016/j.tree.2013.04.003
   Silva JCE, 2012, TREE GENET GENOMES, V8, P249, DOI 10.1007/s11295-011-0437-8
   Currat M, 2008, EVOLUTION, V62, P1908, DOI 10.1111/j.1558-5646.2008.00413.x
   de Blois S, 2002, ECOGRAPHY, V25, P244, DOI 10.1034/j.1600-0587.2002.250212.x
   Delaporte KL, 2001, INT J PLANT SCI, V162, P1317, DOI 10.1086/323276
   Dungey HS, 2000, EVOLUTION, V54, P1938, DOI 10.1111/j.0014-3820.2000.tb01238.x
   Earl DA, 2012, CONSERV GENET RESOUR, V4, P359, DOI 10.1007/s12686-011-9548-7
   Edelman NB, 2021, ANNU REV GENET, V55, P265, DOI 10.1146/annurev-genet-021821-020805
   Endelman JB, 2012, G3-GENES GENOM GENET, V2, P1405, DOI 10.1534/g3.112.004259
   Endelman JB, 2011, PLANT GENOME-US, V4, P250, DOI 10.3835/plantgenome2011.08.0024
   Evanno G, 2005, MOL ECOL, V14, P2611, DOI 10.1111/j.1365-294X.2005.02553.x
   Feng S, 2013, ATMOS CHEM PHYS, V13, P10081, DOI 10.5194/acp-13-10081-2013
   Figueroa ME, 2003, J ECOL, V91, P616, DOI 10.1046/j.1365-2745.2003.00794.x
   Fitter AH, 2002, SCIENCE, V296, P1689, DOI 10.1126/science.1071617
   Foll M, 2008, GENETICS, V180, P977, DOI 10.1534/genetics.108.092221
   Forrest JRK, 2015, OIKOS, V124, P4, DOI 10.1111/oik.01386
   Fraser CI, 2015, BIOL INVASIONS, V17, P1, DOI 10.1007/s10530-014-0714-1
   Gómez-Ruiz EP, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-50059-6
   Gompert Z, 2010, MOL ECOL RESOUR, V10, P378, DOI 10.1111/j.1755-0998.2009.02733.x
   Goudet J, 2005, MOL ECOL NOTES, V5, P184, DOI 10.1111/j.1471-8286.2004.00828.x
   Grattapaglia D, 2012, TREE GENET GENOMES, V8, P463, DOI 10.1007/s11295-012-0491-x
   GRIFFIN AR, 1988, AUST J BOT, V36, P41, DOI 10.1071/BT9880041
   Gruber B, 2018, MOL ECOL RESOUR, V18, P691, DOI 10.1111/1755-0998.12745
   Guichoux E, 2013, MOL ECOL, V22, P450, DOI 10.1111/mec.12125
   Hamilton JA, 2016, CONSERV BIOL, V30, P33, DOI 10.1111/cobi.12574
   Harr B, 2014, CURR BIOL, V24, pR230, DOI 10.1016/j.cub.2014.02.023
   Harrison PA, 2021, ECOL MANAG RESTOR, V22, P75, DOI 10.1111/emr.12520
   Hastings A, 2005, ECOL LETT, V8, P91, DOI 10.1111/j.1461-0248.2004.00687.x
   Hegland SJ, 2009, ECOL LETT, V12, P184, DOI 10.1111/j.1461-0248.2008.01269.x
   Hingston AB, 2004, AUST J BOT, V52, P209, DOI 10.1071/BT03015
   Hoffmann AA, 2019, AUSTRAL ECOL, V44, P3, DOI 10.1111/aec.12674
   House Susan M., 1997, P30
   Hughes L, 1996, GLOBAL ECOL BIOGEOGR, V5, P23, DOI 10.2307/2997467
   Inglis PW, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0206085
   Jackiw RN, 2015, CONSERV BIOL, V29, P1040, DOI 10.1111/cobi.12526
   Janes JK, 2017, FORESTS, V8, DOI 10.3390/f8070237
   Jha S, 2013, P NATL ACAD SCI USA, V110, P555, DOI 10.1073/pnas.1208682110
   Jombart T, 2008, BIOINFORMATICS, V24, P1403, DOI 10.1093/bioinformatics/btn129
   Jombart T, 2011, BIOINFORMATICS, V27, P3070, DOI 10.1093/bioinformatics/btr521
   Jordano P, 2017, J ECOL, V105, P75, DOI 10.1111/1365-2745.12690
   Kilian Andrzej, 2012, Methods Mol Biol, V888, P67, DOI 10.1007/978-1-61779-870-2_5
   Klein EK, 2017, J ECOL, V105, P29, DOI 10.1111/1365-2745.12674
   Kopelman NM, 2015, MOL ECOL RESOUR, V15, P1179, DOI 10.1111/1755-0998.12387
   Kremer A, 2020, NEW PHYTOL, V226, P987, DOI 10.1111/nph.16274
   Kremer A, 2012, ECOL LETT, V15, P378, DOI 10.1111/j.1461-0248.2012.01746.x
   LADIGES PY, 1983, AUST J BOT, V31, P565, DOI 10.1071/BT9830565
   Larcombe MJ, 2016, ANN BOT-LONDON, V118, P431, DOI 10.1093/aob/mcw115
   Larcombe MJ, 2015, MOL BIOL EVOL, V32, P1833, DOI 10.1093/molbev/msv063
   Lepais O, 2009, MOL ECOL, V18, P2228, DOI 10.1111/j.1365-294X.2009.04137.x
   Levin D.A., 1978, EVOL BIOL, V11, P185
   Levin DA, 1996, CONSERV BIOL, V10, P10, DOI 10.1046/j.1523-1739.1996.10010010.x
   LEWONTIN RC, 1966, EVOLUTION, V20, P315, DOI 10.1111/j.1558-5646.1966.tb03369.x
   Li H, 2014, BIOINFORMATICS, V30, P2843, DOI 10.1093/bioinformatics/btu356
   Lopez GA, 2000, HEREDITY, V85, P242, DOI 10.1046/j.1365-2540.2000.00739.x
   Lowry DB, 2008, PHILOS T R SOC B, V363, P3009, DOI 10.1098/rstb.2008.0064
   Malhi Y, 2009, P NATL ACAD SCI USA, V106, P20610, DOI 10.1073/pnas.0804619106
   McKinnon G., 2005, Plant diversity and evolution: genotypic and phenotypic variation in higher plants, P81, DOI 10.1079/9780851999043.0081
   McKinnon GE, 2010, MOL ECOL, V19, P1367, DOI 10.1111/j.1365-294X.2010.04579.x
   McKinnon GE, 2004, MOL ECOL, V13, P3751, DOI 10.1111/j.1365-294X.2004.02364.x
   McKinnon GE, 2004, PHILOS T R SOC B, V359, P275, DOI 10.1098/rstb.2003.1391
   Menon M, 2020, EVOL APPL, V13, P195, DOI 10.1111/eva.12795
   Mitchell N, 2019, EVOL LETT, V3, P570, DOI 10.1002/evl3.146
   Mitchell N, 2019, SCI REP-UK, V9, DOI 10.1038/s41598-019-43119-4
   Muniz AC, 2020, ANN BOT-LONDON, V126, P191, DOI 10.1093/aob/mcaa066
   Nevill PG, 2014, TREE GENET GENOMES, V10, P1079, DOI 10.1007/s11295-014-0744-y
   Nicolle D., 2021, CLASSIFICATION EUCAL
   Nomura Y, 2022, J ECOL, V110, P1548, DOI 10.1111/1365-2745.13890
   O'Donnell ST, 2021, J HERED, V112, P663, DOI 10.1093/jhered/esab053
   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
   PARSONS RF, 1972, NEW PHYTOL, V71, P1213, DOI 10.1111/j.1469-8137.1972.tb01999.x
   Petit RJ, 2005, MOL ECOL, V14, P689, DOI 10.1111/j.1365-294X.2004.02410.x
   Petit RJ, 2004, DIVERS DISTRIB, V10, P159, DOI 10.1111/j.1366-9516.2004.00084.x
   Petit RJ, 2004, NEW PHYTOL, V161, P151, DOI 10.1046/j.1469-8137.2003.00944.x
   Petit RJ, 1997, P NATL ACAD SCI USA, V94, P9996, DOI 10.1073/pnas.94.18.9996
   Pfeilsticker TR, 2022, ANN BOT-LONDON, V129, P1, DOI 10.1093/aob/mcab103
   Pfennig KS, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2016.1329
   Phillips BL, 2008, AM NAT, V172, pS34, DOI 10.1086/588255
   Pollock LJ, 2013, J BIOGEOGR, V40, P155, DOI 10.1111/j.1365-2699.2012.02766.x
   Potts B. M., 1986, FLORA FAUNA ALPINE A, P511
   POTTS BM, 1986, AUST J BOT, V34, P305, DOI 10.1071/BT9860305
   Potts BM, 2004, NEW FOREST, V27, P115, DOI 10.1023/A:1025021324564
   POTTS BM, 1990, EVOLUTION, V44, P2151, DOI [10.2307/2409623, 10.1111/j.1558-5646.1990.tb04319.x]
   POTTS BM, 1988, EVOLUTION, V42, P1245, DOI 10.1111/j.1558-5646.1988.tb04184.x
   POTTS BM, 1985, AUST J BOT, V33, P543, DOI 10.1071/BT9850543
   Potts Brad M., 1997, P56
   Prevéy JS, 2020, CURR BIOL, V30, pR112, DOI 10.1016/j.cub.2019.12.009
   Pritchard JK, 2000, GENETICS, V155, P945
   R Core Team, 2019, R LANG ENV STAT COMP
   Rafferty NE, 2017, J ECOL, V105, P627, DOI 10.1111/1365-2745.12701
   Rawal DS, 2015, AGR FOREST METEOROL, V214, P231, DOI 10.1016/j.agrformet.2015.08.253
   Rieseberg LH, 1998, NEW PHYTOL, V140, P599, DOI 10.1046/j.1469-8137.1998.00315.x
   Rieseberg LH, 2003, SCIENCE, V301, P1211, DOI 10.1126/science.1086949
   Rieseberg LH, 2007, GENETICA, V129, P149, DOI 10.1007/s10709-006-9011-y
   Robins TP, 2021, ANN BOT-LONDON, V127, P49, DOI 10.1093/aob/mcaa164
   Rutherford S, 2022, ANN BOT-LONDON, V130, P491, DOI 10.1093/aob/mcac091
   Rutherford S, 2019, CONSERV GENET, V20, P1113, DOI 10.1007/s10592-019-01201-4
   Sale MM, 1996, AUST J BOT, V44, P559, DOI 10.1071/BT9960559
   Sansaloni CP, 2010, PLANT METHODS, V6, DOI 10.1186/1746-4811-6-16
   Scaven VL, 2013, CURR ZOOL, V59, P418, DOI 10.1093/czoolo/59.3.418
   Seehausen O, 2004, TRENDS ECOL EVOL, V19, P198, DOI 10.1016/j.tree.2004.01.003
   Senior JK, 2016, J CHEM ECOL, V42, P1086, DOI 10.1007/s10886-016-0750-7
   Sherwood S, 2014, SCIENCE, V343, P737, DOI 10.1126/science.1247620
   Southerton S.G., 2004, Australian Forestry, V67, P44
   Suarez-Gonzalez A, 2018, BIOL LETTERS, V14, DOI 10.1098/rsbl.2017.0688
   Taylor SA, 2015, TRENDS ECOL EVOL, V30, P398, DOI 10.1016/j.tree.2015.04.010
   Thornhill AH, 2019, AUST SYST BOT, V32, P29, DOI 10.1071/SB18015
   Todesco M, 2016, EVOL APPL, V9, P892, DOI 10.1111/eva.12367
   Totland O, 2001, ECOLOGY, V82, P2233, DOI 10.1890/0012-9658(2001)082[2233:EDPLAS]2.0.CO;2
   Tyson M, 1998, AUST J BOT, V46, P161, DOI 10.1071/BT97003
   Vähä JP, 2006, MOL ECOL, V15, P63, DOI 10.1111/j.1365-294X.2005.02773.x
   Van Dijk KJ, 2020, DIVERSITY-BASEL, V12, DOI 10.3390/d12120468
   Visser ME, 2001, P ROY SOC B-BIOL SCI, V268, P289, DOI 10.1098/rspb.2000.1363
   Weeks AR, 2011, EVOL APPL, V4, P709, DOI 10.1111/j.1752-4571.2011.00192.x
   Westphal C, 2006, ECOL ENTOMOL, V31, P389, DOI 10.1111/j.1365-2311.2006.00801.x
   WHITHAM TG, 1994, OECOLOGIA, V97, P481, DOI 10.1007/BF00325886
   WHITHAM TG, 1991, SCIENCE, V254, P779, DOI 10.1126/science.254.5033.779-b
   Whitham TG, 2006, NAT REV GENET, V7, P510, DOI 10.1038/nrg1877
   Widmer A, 2009, HEREDITY, V102, P31, DOI 10.1038/hdy.2008.69
   Wolf DE, 2001, CONSERV BIOL, V15, P1039, DOI 10.1046/j.1523-1739.2001.0150041039.x
   Xie W, 2020, AQUAT BOT, V160, DOI 10.1016/j.aquabot.2019.103166
   Zhang YH, 2016, AQUACULTURE, V450, P95, DOI 10.1016/j.aquaculture.2015.07.013
   Zhu B, 2018, J PLANT ECOL, V11, P17, DOI 10.1093/jpe/rtx031
NR 157
TC 6
Z9 7
U1 0
U2 11
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 JUN
PY 2023
VL 32
IS 11
BP 2913
EP 2929
DI 10.1111/mec.16892
EA FEB 2023
PG 17
WC Biochemistry & Molecular Biology; Ecology; Evolutionary Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology; Environmental Sciences & Ecology;
   Evolutionary Biology
GA G8TT1
UT WOS:000939701600001
PM 36807951
OA hybrid, Green Published
DA 2025-01-10
ER

PT C
AU Ghodoosipour, B
   Rahman, A
   Knox, P
   Cornett, A
   Murphy, E
AF Ghodoosipour, Behnaz
   Rahman, Amanj
   Knox, Paul
   Cornett, Andrew
   Murphy, Enda
BE Ortega-Sanchez, M
TI Experimental investigation of wave and current interactions with
   immature Spartina alterniflora salt marsh canopies
SO PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS
LA English
DT Proceedings Paper
CT 39th IAHR World Congress on From Snow to Sea
CY JUN 19-24, 2022
CL Ctr Studies & Experimentat Publ Works, Spain Water, Granada, SPAIN
SP Univ Granada, Minist Ecol Transit & Demog Challenge, Gen Directorate Coast & Sea, Minist Ecol Transit & Demog Challenge, Gen Directorate Water, China Inst Water Resources & Hydropower Res, Int Assoc Hydro Environm Engn & Res
HO Ctr Studies & Experimentat Publ Works, Spain Water
DE wave attenuation; salt marsh; natural hazards; nature-based solutions;
   physical modelling
ID ATTENUATION
AB Coastal communities are vulnerable to flooding and erosion hazards, and the associated risks are generally escalating, as a consequence of rising sea levels and other factors. It has been widely demonstrated that coastal marsh systems provide ecosystem services in support of coastal resilience and climate change adaptation objectives, in part by acting as buffers against waves and erosion. Recognition of these benefits has led to a growing interest in restoring or constructing coastal salt marshes as part of nature-based solutions for flood and erosion risk management. However, the majority of previous field and experimental studies of wave attenuation and sediment stabilization by salt marsh vegetation has focussed on mature or dense canopies, which are not necessarily representative of conditions in the early stages of a marsh restoration or construction. In this study, a series of full-scale physical model experiments were conducted involving immature Spartina alterniflora vegetation, installed in a laboratory flume in configurations representative of newly constructed or establishing marsh canopies. The response of the live vegetation to irregular waves, was evaluated for various water depth-to-vegetation height ratios, ranging from fully emergent to deeply submerged conditions. Wave attenuation was assessed by measuring wave heights at intervals along the vegetation canopy. The findings will aid practitioners involved in coastal marsh restoration and implementation of nature-based solutions, by providing an improved understanding of wave attenuation by immature Spartina alterniflora canopies, and threshold hydrodynamic conditions for survival of young marsh plants exposed to waves, currents, and a range of water level conditions. This type of information is needed to guide the design of interim or temporary measures to protect shorelines and plants in the period immediately following a marsh construction or restoration, and to support effective integration of marsh vegetation in nature-based solutions for coastal flood and erosion risk management.
C1 [Ghodoosipour, Behnaz; Rahman, Amanj; Knox, Paul; Cornett, Andrew; Murphy, Enda] Natl Res Council Canada, Ottawa, ON, Canada.
C3 National Research Council Canada
RP Ghodoosipour, B (corresponding author), Natl Res Council Canada, Ottawa, ON, Canada.
EM Behnaz.Ghodoosipour@nrc-cnrc.gc.ca; Amanj.Rahman@nrc-cnrc.gc.ca;
   Paul.Knox@nrc-cnrc.gc.ca; Andrew.Cornett@nrc-cnrc.gc.ca;
   Enda.Murphy@nrc-cnrc.gc.ca
FU Nature-Based Infrastructure for Coastal Resilience & Risk Reduction
   project through the Canadian Safety and Security Program
FX The NRC-OCRE technical staff, Michael Achtereekte and Tony Frade, are
   recognized for their efforts in model construction and testing. This
   research was supported by the Nature-Based Infrastructure for Coastal
   Resilience & Risk Reduction project through the Canadian Safety and
   Security Program.
CR Anderson ME, 2014, COAST ENG, V83, P82, DOI 10.1016/j.coastaleng.2013.10.004
   Augustin LN, 2009, COAST ENG, V56, P332, DOI 10.1016/j.coastaleng.2008.09.004
   Baker S., 2022, Experimental Study of Wave Attenuation Across an Artificial Salt Marsh.
   Bilkovic DM, 2016, COAST MANAGE, V44, P161, DOI 10.1080/08920753.2016.1160201
   Blackmar PJ, 2014, J WATERW PORT COAST, V140, P56, DOI 10.1061/(ASCE)WW.1943-5460.0000215
   FONSECA MS, 1992, ESTUAR COAST SHELF S, V35, P565, DOI 10.1016/S0272-7714(05)80039-3
   Hardaway Jr C.S., 2017, Living Shoreline Design Guidelines for Shore Protection in Virginia's Estuarine Environments, DOI [10.21220/V5CF1N, DOI 10.21220/V5CF1N]
   Lara JL, 2016, COAST ENG, V107, P70, DOI 10.1016/j.coastaleng.2015.09.012
   Lei JR, 2019, COAST ENG, V147, P138, DOI 10.1016/j.coastaleng.2019.01.008
   Manca E, 2012, CONT SHELF RES, V50-51, P100, DOI 10.1016/j.csr.2012.10.008
   Miller J., 2016, LIVING SHORELINES EN
   Möller I, 2014, NAT GEOSCI, V7, P727, DOI [10.1038/ngeo2251, 10.1038/NGEO2251]
   Nepf HM, 2004, COAST ESTUAR STUD, V59, P137
   Niedowski NL, 2000, New York State Salt Marsh Restoration and Monitoring Guidelines
   Noaa L., 2015, Guidance for Considering the Use of Living Shorelines
   NYSDEC, 2017, Tidal Wetlands Guidance Document: Living Shoreline Techniques in the Marine District of New York State
   Ozeren Y, 2014, J WATERW PORT COAST, V140, DOI 10.1061/(ASCE)WW.1943-5460.0000251
   Rupprecht F, 2017, ECOL ENG, V100, P301, DOI 10.1016/j.ecoleng.2016.12.030
   Tshchirky P., 2000, Proc. 23rd Intern. Coast. Eng. Conf., P865, DOI [10.1061/40549(276)67, DOI 10.1061/40549(276)67]
   Woods Hole Group, 2017, LIV SHOR NEW ENGL ST
   Wu W., 2011, SERRI project: Investigation of surge and wave reduction by vegetation
NR 21
TC 0
Z9 0
U1 0
U2 4
PU IAHR-INT ASSOC HYDRO-ENVIRONMENT ENGINEERING RESEARCH
PI MADRID
PA PASEO BAJO VIRGEN DEL PUERTO 3, MADRID, 28005, SPAIN
BN 978-90-832612-1-8
PY 2022
BP SS145
EP SS152
DI 10.3850/IAHR-39WC2521-71192022SS2239
PG 8
WC Green & Sustainable Science & Technology; Engineering, Environmental;
   Water Resources
WE Conference Proceedings Citation Index - Science (CPCI-S)
SC Science & Technology - Other Topics; Engineering; Water Resources
GA BV7PR
UT WOS:001070410600020
DA 2025-01-10
ER

PT J
AU Shahbaz, P
   ul Haq, S
   Boz, I
AF Shahbaz, Pomi
   ul Haq, Shamsheer
   Boz, Ismet
TI Linking climate change adaptation practices with farm technical
   efficiency and fertilizer use: a study of wheat-maize mix cropping zone
   of Punjab province, Pakistan
SO ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
LA English
DT Article
DE Climate change; Adaptation; Technical efficiency; Fertilizer use;
   Pakistan
ID EMPIRICAL-EVIDENCE; RISK PERCEPTIONS; FOOD SECURITY; DETERMINANTS;
   ADOPTION; PRODUCTIVITY; IMPACT; AGRICULTURE; STRATEGIES; INCOME
AB Climate change is a serious threat to global agriculture and the farming community is well aware of this challenge. This is the first empirical study that looks beyond the traditional studies only limited to the adoption of climate change measures by estimating the impact of adopted practices on technical efficiency and computing the actual level of fertilizer at the farm level. For this purpose, face-to-face interviews were conducted for data collection with 196 farmers selected through multiple stage simple random sampling in the wheat-maize mix cropping zone of Punjab province. The results depicted that changing fertilizer was the most commonly adopted strategy (76%) to negate the effects of climate changes on crop production. Stochastic frontier analysis results revealed that the adoption of diversification practices, soil and water conservation practices, and modern input use strategies were influential factors explaining the technical efficiency differential among different farmers. The average technical efficiency score was 0.71 in the locality implying that farmers have an opportunity to increase their farm efficiency by 29% with the present level of inputs. Moreover, adopters of modern input practices with a high index were 27% more efficient than those with a low adaptation index of these climate countering measures. The empirical results also revealed the excessive use of nitrogen fertilizer to counter the climate change impacts at the agricultural farms. This result has important policy implications for government agencies that it is not enough just to guide and motivate the farmers to adopt certain strategies to negate the effect of climate change. They should also be informed about the exact usage level of those suggested measures.
C1 [Shahbaz, Pomi; Boz, Ismet] Ondokuz Mayis Univ, Dept Agr Econ, TR-55139 Samsun, Turkey.
   [ul Haq, Shamsheer] Univ Educ, Dept Econ & Business Adm, Div Management & Adm Sci, Lahore, Pakistan.
C3 Ondokuz Mayis University
RP Shahbaz, P (corresponding author), Ondokuz Mayis Univ, Dept Agr Econ, TR-55139 Samsun, Turkey.
EM pomi1781@gmail.com
RI Haq, shamsheer/AAP-7849-2021; Shahbaz, Pomi/AAM-6128-2020
OI Shahbaz, Pomi/0000-0002-7384-4664; Haq, Shamsheer ul/0000-0002-7258-5525
CR Abbas Q, 2019, INT J ENV RES PUB HE, V16, DOI 10.3390/ijerph16204036
   Abdul-Rahman A., 2016, GLOBAL J AGR EC EXTE, V4, P361
   Abid M, 2015, EARTH SYST DYNAM, V6, P225, DOI 10.5194/esd-6-225-2015
   Abid M, 2020, CLIM RISK MANAG, V27, DOI 10.1016/j.crm.2019.100200
   Abid M, 2016, SCI TOTAL ENVIRON, V547, P447, DOI 10.1016/j.scitotenv.2015.11.125
   Ahmad A., 2019, Agro-ecological zones of PunjabPakistan
   Ahmad D, 2019, NAT HAZARDS, V95, P845, DOI 10.1007/s11069-018-3523-5
   Ahmed MN, 2011, BUS ECON HORIZ, V4, P1
   Aigner D., 1977, J. Econ., V6, P21, DOI [DOI 10.1016/0304-4076(77)90052-5, 10.1016/0304-4076(77)90052-5]
   Ali A, 2018, FOOD POLICY, V77, P19, DOI 10.1016/j.foodpol.2018.03.018
   Ali I, 2019, J INTEGR AGR, V18, P2408, DOI 10.1016/S2095-3119(19)62743-7
   Ali M, 1996, AGR ECON, V14, P45, DOI 10.1016/0169-5150(95)01161-7
   Ali S, 2017, FOODS, V6, DOI 10.3390/foods6060039
   Alwang J, 2018, FOOD SECUR, V10, P589, DOI 10.1007/s12571-018-0794-3
   [Anonymous], 2012, World Bank Sees Progress Against Extreme Poverty, But Flags Vulnerabilities
   [Anonymous], 2016, Global climate risk index 2017 who suffers most from Extreme Weather events? Weather-related loss events in 2015 and 1996 to 2015
   [Anonymous], 2011, TNA GUIDEBOOK SERIES
   Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P3267, DOI 10.1007/s10668-019-00345-0
   Aryal JP, 2020, ENVIRON DEV SUSTAIN, V22, P5045, DOI 10.1007/s10668-019-00414-4
   ARYAL JP, ENVIRON MANAGE, V1
   Athukorala W., 2017, Sri Lanka J. Econ. Res, V5, P63, DOI [10.4038/sljer.v5i1.58, DOI 10.4038/SLJER.V5I1.58]
   Auffhammer M, 2014, ENERG ECON, V46, P555, DOI 10.1016/j.eneco.2014.09.010
   Rahut DB, 2018, HELIYON, V4, DOI 10.1016/j.heliyon.2018.e00797
   Rahut DB, 2017, INT J DISAST RISK RE, V24, P515, DOI 10.1016/j.ijdrr.2017.05.006
   BELLON MR, 1993, ECON DEV CULT CHANGE, V41, P763, DOI 10.1086/452047
   Bravo-Ureta BE, 2007, J PROD ANAL, V27, P57, DOI 10.1007/s11123-006-0025-3
   Chaudhry, 2019, CLIMATE CHANGE PROFI
   Chauhdary JN, 2016, QUAL ASSUR SAF CROP, V8, P267, DOI 10.3920/QAS2015.0685
   Cline WilliamR., 2007, Global Warming and Agriculture: Impact Estimates by Country
   Cochran W.G., 1963, Sampling Technique, V2nd
   Coelli TJ., 2005, INTRO EFFICIENCY PRO
   de Fraiture C., 2007, SAT AGR RES, V4, P21
   Deme S, 2015, 20 INT FARM MAN C
   Fesessu, 2008, TECHNICAL EFFICIENCY
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   GoP, 2019, EC SURV PAK FIN DIV
   Gorst A, 2018, ENVIRON DEV ECON, V23, P679, DOI 10.1017/S1355770X18000232
   Grothmann T, 2005, GLOBAL ENVIRON CHANG, V15, P199, DOI 10.1016/j.gloenvcha.2005.01.002
   Gujarati D.N., 2003, BASIC ECONOMETRICS, V4th
   Hanif U., 2010, The Pakistan Development Review, P771, DOI DOI 10.30541/V49I4IIPP.771-798
   Haq SU, 2021, FOOD SECUR, V13, P913, DOI 10.1007/s12571-021-01161-z
   Dang HL, 2019, CLIM DEV, V11, P765, DOI 10.1080/17565529.2018.1562866
   IFAD, 2010, Rural Poverty Report
   IFAD, 2012, CLIMATE CHANGE IMPAC
   Javed N, 2018, 6 POPULATION HOUSING
   Jin SQ, 2021, NAT SUSTAIN, V4, P48, DOI 10.1038/s41893-020-00596-0
   Joshi P. K., 2004, Economic and Political Weekly, V39, P2457
   Khanal U, 2018, CLIMATIC CHANGE, V147, P507, DOI 10.1007/s10584-018-2168-4
   Khanal U, 2018, ECOL ECON, V144, P139, DOI 10.1016/j.ecolecon.2017.08.006
   Kyei L., 2011, American Journal of Social and Management Sciences, V2, P208, DOI [DOI 10.5251/ajsms.2011.2.2.208.216, 10.5251/ajsms.2011.2.2.208.216, DOI 10.5251/AJSMS.2011.2.2.208.216]
   Leng GY, 2017, SCI REP-UK, V7, DOI 10.1038/s41598-017-01599-2
   Makate C, 2016, SPRINGERPLUS, V5, DOI 10.1186/s40064-016-2802-4
   MEEUSEN W, 1977, INT ECON REV, V18, P435, DOI 10.2307/2525757
   Mulwa C, 2017, CLIM RISK MANAG, V16, P208, DOI 10.1016/j.crm.2017.01.002
   Negin J, 2009, FOOD SECUR, V1, P351, DOI 10.1007/s12571-009-0025-z
   Pachauri R. K., 2007, CLIMATE CHANGE 2007, P104, DOI DOI 10.1017/CBO9780511546013
   Pakistan Bureau of statistics, 2017, POP CENS 2017 PAK RE
   Rahman S, 2009, LAND USE POLICY, V26, P95, DOI 10.1016/j.landusepol.2008.01.003
   Rahut DB, 2021, SCI TOTAL ENVIRON, V769, DOI 10.1016/j.scitotenv.2021.145236
   Roco L, 2017, SUSTAINABILITY-BASEL, V9, DOI 10.3390/su9091648
   Saguye T.S., 2016, J. Environ. Earth Sci., V6
   Saleem Ashraf Saleem Ashraf, 2013, International Journal of Agricultural Extension, V1, P30
   Schoeneberger M, 2012, J SOIL WATER CONSERV, V67, p128A, DOI 10.2489/jswc.67.5.128A
   Shahbaz P, 2021, FRESEN ENVIRON BULL, V30, P80
   Shahbaz P, 2020, ENVIRON SCI POLLUT R, V27, P17935, DOI 10.1007/s11356-020-08112-9
   Snapp SS, 2010, P NATL ACAD SCI USA, V107, P20840, DOI 10.1073/pnas.1007199107
   Sumner D.R., 2018, CRC HDB AGR PRODUCTI, P273
   Teklewold H, 2019, WORLD DEV, V122, P38, DOI 10.1016/j.worlddev.2019.05.010
   TFCC, 2010, PLANN COMM
   Thiam A, 2001, AGR ECON-BLACKWELL, V25, P235, DOI 10.1111/j.1574-0862.2001.tb00204.x
   Tripathi A, 2017, CLIM RISK MANAG, V16, P195, DOI 10.1016/j.crm.2016.11.002
   ul Haq S, 2017, CUST AGRONEGOCIO, V13, P218
   Vanlauwe B, 2014, FIELD CROP RES, V155, P10, DOI 10.1016/j.fcr.2013.10.002
   Zhang HL, 2015, CLIMATIC CHANGE, V129, P213, DOI 10.1007/s10584-015-1337-y
   ,, 2020, The state of food security and nutrition in the world 2020: transforming food systems for affordable healthy diets, DOI 10.4060/ca9692en
NR 76
TC 21
Z9 22
U1 1
U2 14
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 MAR
PY 2022
VL 29
IS 12
BP 16925
EP 16938
DI 10.1007/s11356-021-16844-5
EA OCT 2021
PG 14
WC Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology
GA ZJ1XI
UT WOS:000707698300012
PM 34655385
DA 2025-01-10
ER

PT J
AU Zhao, SY
   Zhou, TJ
   Chen, XL
AF Zhao, Siyao
   Zhou, Tianjun
   Chen, Xiaolong
TI Consistency of extreme temperature changes in China under a historical
   half-degree warming increment across different reanalysis and
   observational datasets
SO CLIMATE DYNAMICS
LA English
DT Article
DE Extreme temperature; Half-degree warming; Reanalysis datasets; Spatial
   aggregated
ID 1.5 DEGREES-C; SURFACE AIR-TEMPERATURE; PRECIPITATION EXTREMES;
   ERA-INTERIM; EAST-ASIA; CLIMATE; MODEL; IMPACTS; 1.5-DEGREES-C;
   20TH-CENTURY
AB The extreme temperature changes under a 0.5 degrees C global mean surface temperature warming increment is of great importance for climate change adaption and risk management on post-Paris-Agreement agenda. The impacts of the already happened 0.5 degrees C warming increment on extreme temperature can serve as essential references for the 1.5/2 degrees C projections. Quantifying the observed changes of climate extremes is hampered by the limitation of observational datasets in both spatial coverage and temporal continuity. The reanalysis datasets are hoped to be useful substitutes for the observations, but their performance over continental China remains unknown. In this study, we compare the extreme temperature changes associated with the past 0.5 degrees C warming derived from three reanalysis datasets including JRA-55, ERA and 20CR with the observation in China. Distinct increases (decreases) in warm (cold) extremes are detected in all three reanalyses in a spatially aggregated perspective as in the observation. On regional scales the reanalyses have evident spreads in regions with insufficient observational coverage such as the western China. JRA-55 shows good agreement with the observation in both spatial patterns and magnitudes of extreme temperature changes. Both ERA and 20CR show weaker consistency with the observation, particularly in western China, mainly due to less observational constraints in data assimilation. The different aerosol data used in reanalysis assimilation systems also influenced the data quality. Our results indicate that while the reanalyses can serve as useful substitutes to fill in the observational gaps, cautious should be taken in regions with sparse observations and large anthropogenic aerosol emissions.
C1 [Zhao, Siyao; Zhou, Tianjun; Chen, Xiaolong] Inst Atmospher Phys, Chinese Acad Sciences, LASG, Beijing, Beijing, Peoples R China.
   [Zhao, Siyao; Zhou, Tianjun] Univ Chinese Acad Sciences, Beijing, Beijing, Peoples R China.
   [Zhou, Tianjun] Chinese Acad Sciences, CAS Ctr Excellence Tibetan Plateau Earth Sciences, Beijing, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS
RP Zhou, TJ (corresponding author), Inst Atmospher Phys, Chinese Acad Sciences, LASG, Beijing, Beijing, Peoples R China.; Zhou, TJ (corresponding author), Chinese Acad Sciences, CAS Ctr Excellence Tibetan Plateau Earth Sciences, Beijing, Beijing, Peoples R China.
EM zhoutj@lasg.iap.ac.cn
RI Chen, Xiaolong/AAO-7147-2020; ZHOU, Tianjun/C-3195-2012
OI ZHOU, Tianjun/0000-0002-5829-7279
CR Alexander LV, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006290
   Angélil O, 2016, WEATHER CLIM EXTREME, V13, P35, DOI 10.1016/j.wace.2016.07.001
   Bashtannyk DM, 2001, COMPUT STAT DATA AN, V36, P279, DOI 10.1016/S0167-9473(00)00046-3
   Benedetti A., 2008, AEROSOL ANAL FORECAS
   Caesar J, 2006, J GEOPHYS RES-ATMOS, V111, DOI 10.1029/2005JD006280
   Chen GX, 2014, J CLIMATE, V27, P5517, DOI 10.1175/JCLI-D-14-00005.1
   Chen S, 2019, CLIM DYNAM, V53, P737, DOI 10.1007/s00382-018-04611-1
   [陈晓龙 Chen Xiaolong], 2017, [地球科学进展, Advance in Earth Sciences], V32, P435
   Chen Y, 2018, GEOPHYS RES LETT, V45, P7130, DOI 10.1029/2018GL079216
   Chevuturi A, 2018, EARTHS FUTURE, V6, P339, DOI 10.1002/2017EF000734
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776
   Compo GP, 2013, GEOPHYS RES LETT, V40, P3170, DOI 10.1002/grl.50425
   Dee DP, 2011, Q J ROY METEOR SOC, V137, P553, DOI 10.1002/qj.828
   Donat M, 2013, B AM METEOROL SOC, V94, P997, DOI 10.1175/BAMS-D-12-00109.1
   Donat MG, 2013, J GEOPHYS RES-ATMOS, V118, P2098, DOI 10.1002/jgrd.50150
   Donat MG, 2016, J GEOPHYS RES-ATMOS, V121, P11174, DOI 10.1002/2016JD025480
   Donat MG, 2014, J CLIMATE, V27, P5019, DOI 10.1175/JCLI-D-13-00405.1
   Du JZ, 2018, J CLIMATE, V31, P4585, DOI 10.1175/JCLI-D-17-0773.1
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Fischer EM, 2014, GEOPHYS RES LETT, V41, P547, DOI 10.1002/2013GL058499
   Fischer EM, 2013, NAT CLIM CHANGE, V3, P1033, DOI [10.1038/NCLIMATE2051, 10.1038/nclimate2051]
   Gelaro R, 2017, J CLIMATE, V30, P5419, DOI 10.1175/JCLI-D-16-0758.1
   Gervais M, 2014, J CLIMATE, V27, P5201, DOI 10.1175/JCLI-D-13-00319.1
   Guo XJ, 2017, THEOR APPL CLIMATOL, V128, P507, DOI 10.1007/s00704-015-1718-1
   Hansen J, 2010, REV GEOPHYS, V48, DOI 10.1029/2010RG000345
   Huang B, 2018, ATMOSPHERE-BASEL, V9, DOI 10.3390/atmos9060235
   Huang Y, 2006, P NATL ACAD SCI USA, V103, P4371, DOI 10.1073/pnas.0504428103
   Hulme M, 2016, NAT CLIM CHANGE, V6, P222, DOI 10.1038/nclimate2939
   Jones PW, 1999, MON WEATHER REV, V127, P2204, DOI 10.1175/1520-0493(1999)127<2204:FASOCR>2.0.CO;2
   Kalnay E, 1996, B AM METEOROL SOC, V77, P437, DOI 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
   Kalnay E, 2003, NATURE, V423, P528, DOI 10.1038/nature01675
   Kanamitsu M, 2002, B AM METEOROL SOC, V83, P1631, DOI [10.1175/BAMS-83-11-1631(2002)083<1631:NAR>2.3.CO;2, 10.1175/Bams-83-11-1631]
   Kharin VV, 2018, EARTHS FUTURE, V6, P704, DOI 10.1002/2018EF000813
   Kharin VV, 2007, J CLIMATE, V20, P1419, DOI 10.1175/JCLI4066.1
   Kharin VV, 2005, J CLIMATE, V18, P5201, DOI 10.1175/JCLI3597.1
   King AD, 2017, ENVIRON RES LETT, V12, DOI 10.1088/1748-9326/aa8e2c
   Kobayashi S, 2015, J METEOROL SOC JPN, V93, P5, DOI 10.2151/jmsj.2015-001
   Lewis SC, 2017, GEOPHYS RES LETT, V44, P9947, DOI 10.1002/2017GL074612
   Li CX, 2016, THEOR APPL CLIMATOL, V125, P529, DOI 10.1007/s00704-015-1527-6
   Li DH, 2018, GEOPHYS RES LETT, V45, P1541, DOI 10.1002/2017GL076753
   Li ZQ, 2016, REV GEOPHYS, V54, P866, DOI 10.1002/2015RG000500
   Lin L, 2018, EARTHS FUTURE, V6, P968, DOI 10.1029/2018EF000862
   Mao JF, 2010, J CLIMATE, V23, P6605, DOI 10.1175/2010JCLI3581.1
   Mitchell D, 2017, GEOSCI MODEL DEV, V10, P571, DOI 10.5194/gmd-10-571-2017
   Nangombe S, 2018, NAT CLIM CHANGE, V8, P375, DOI 10.1038/s41558-018-0145-6
   New M, 2000, J CLIMATE, V13, P2217, DOI 10.1175/1520-0442(2000)013<2217:RTCSTC>2.0.CO;2
   Pendergrass AG, 2018, GEOPHYS RES LETT, V45, P11980, DOI 10.1029/2018GL080298
   Qian Y, 2003, TELLUS B, V55, P914, DOI 10.1046/j.1435-6935.2003.00070.x
   Rienecker MM, 2011, J CLIMATE, V24, P3624, DOI 10.1175/JCLI-D-11-00015.1
   Sanderson BM, 2017, EARTH SYST DYNAM, V8, P827, DOI 10.5194/esd-8-827-2017
   Schleussner CF, 2017, NAT CLIM CHANGE, V7, P460, DOI 10.1038/nclimate3320
   Schleussner CF, 2016, EARTH SYST DYNAM, V7, P327, DOI 10.5194/esd-7-327-2016
   Scott DW, 2015, WILEY SER PROBAB ST, P1, DOI 10.1002/9781118575574
   Seneviratne SI, 2014, NAT CLIM CHANGE, V4, P161, DOI 10.1038/nclimate2145
   Seneviratne SI, 2012, MANAGING THE RISKS OF EXTREME EVENTS AND DISASTERS TO ADVANCE CLIMATE CHANGE ADAPTATION, P109
   Shi C, 2018, ADV CLIM CHANG RES, V9, P120, DOI 10.1016/j.accre.2017.11.003
   Sillmann J, 2013, J GEOPHYS RES-ATMOS, V118, P1716, DOI 10.1002/jgrd.50203
   Simmons AJ, 2010, J GEOPHYS RES-ATMOS, V115, DOI 10.1029/2009JD012442
   Simmons AJ, 2004, J GEOPHYS RES-ATMOS, V109, DOI 10.1029/2004JD005306
   Smith SR, 2001, J CLIMATE, V14, P4062, DOI 10.1175/1520-0442(2001)014<4062:QUINRU>2.0.CO;2
   TANRE D, 1984, ASTERISQUE, P132
   Tegen I, 1997, J GEOPHYS RES-ATMOS, V102, P23895, DOI 10.1029/97JD01864
   Uppala SM, 2005, Q J ROY METEOR SOC, V131, P2961, DOI 10.1256/qj.04.176
   Wang ZL, 2017, SCI REP-UK, V7, DOI 10.1038/srep46432
   Wang ZL, 2016, CLIM DYNAM, V47, P2885, DOI 10.1007/s00382-016-3003-0
   Wu J, 2013, CHINESE J GEOPHYS-CH, V56, P1102, DOI 10.6038/cjg20130406
   Xu YY, 2018, CLIMATIC CHANGE, V146, P393, DOI 10.1007/s10584-015-1565-1
   [徐影 Xu Ying], 2017, [气候变化研究进展, Progressus Inquisitiones de Mutatione Climatis], V13, P306
   Xu YF, 2009, ADV ATMOS SCI, V26, P265, DOI 10.1007/s00376-009-0265-z
   You QL, 2013, GLOBAL PLANET CHANGE, V111, P268, DOI 10.1016/j.gloplacha.2013.10.003
   Yu HB, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002717
   Zhang XB, 2011, WIRES CLIM CHANGE, V2, P851, DOI 10.1002/wcc.147
   Zhang YC, 2018, NAT COMMUN, V9, DOI 10.1038/s41467-017-02522-z
   Zhao S, 2019, EARTHS FUTURE
   Zhou BT, 2016, INT J CLIMATOL, V36, P1051, DOI 10.1002/joc.4400
   Zhou CL, 2017, J CLIMATE, V30, P7379, DOI 10.1175/JCLI-D-16-0903.1
   Zhou TJ, 2018, ATMOS OCEAN SCI LETT, V11, P180, DOI 10.1080/16742834.2018.1440134
   Zhou TJ, 2018, SCI BULL, V63, P700, DOI 10.1016/j.scib.2018.03.018
   Zhu J, 2017, THEOR APPL CLIMATOL, V130, P655, DOI 10.1007/s00704-016-1912-9
NR 79
TC 22
Z9 22
U1 1
U2 28
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0930-7575
EI 1432-0894
J9 CLIM DYNAM
JI Clim. Dyn.
PD FEB
PY 2020
VL 54
IS 3-4
BP 2465
EP 2479
DI 10.1007/s00382-020-05128-2
PG 15
WC Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Meteorology & Atmospheric Sciences
GA KN5DC
UT WOS:000514856500030
OA hybrid
DA 2025-01-10
ER

PT J
AU Wamsler, C
   Brossmann, J
   Hendersson, H
   Kristjansdottir, R
   McDonald, C
   Scarampi, P
AF Wamsler, Christine
   Brossmann, Johannes
   Hendersson, Heidi
   Kristjansdottir, Rakel
   McDonald, Colin
   Scarampi, Phil
TI Mindfulness in sustainability science, practice, and teaching
SO SUSTAINABILITY SCIENCE
LA English
DT Article
DE Ecological mindfulness; Organizational mindfulness; Political
   mindfulness; Compassion; Sustainability; Well-being; Contemplative
   teaching; Emotion; Planning; Risk reduction; Adaptation; Other ways of
   knowing; Spiritual ecology; Transformation; Inner transition
ID STRESS REDUCTION; SELF-COMPASSION; UNITED-STATES; WELL; MEDITATION;
   DISASTER; CLIMATE; MECHANISMS; BENEFITS; CONNECTEDNESS
AB This paper explores the current role of mindfulness in sustainability science, practice, and teaching. Based on a qualitative literature review that is complemented by an experimental learning lab, we sketch the patterns and core conceptual trajectories of the mindfulness-sustainability relationship. In addition, we assess this relationship within the field of climate change adaptation and risk reduction. The results highlight that notions such as 'sustainability from within', 'ecological mindfulness', 'organizational mindfulness', and 'contemplative practices' have been neglected in sustainability science and teaching. Whilst little sustainability research addresses mindfulness, there is scientific support for its positive influence on: (1) subjective well-being; (2) the activation of (intrinsic/ non-materialistic) core values; (3) consumption and sustainable behavior; (4) the human-nature connection; (5) equity issues; (6) social activism; and (7) deliberate, flexible, and adaptive responses to climate change. Most research relates to post-disaster risk reduction, although it is limited to the analysis of mindfulness-related interventions on psychological resilience. Broader analyses and foci are missing. In contrast, mindfulness is gaining widespread recognition in practice (e.g., by the United Nations, governmental and non-governmental organizations). It is concluded that mindfulness can contribute to understanding and facilitating sustainability, not only at the individual level, but sustainability at all scales, and should, thus, become a core concept in sustainability science, practice, and teaching. More research that acknowledges positive emotional connections, spirituality, and mindfulness in particular is called for, acknowledging that (1) the micro and macro are mirrored and interrelated, and (2) non-material causation is part of sustainability. This paper provides the first comprehensive framework for contemplative scientific inquiry, practice, and education in sustainability.
C1 [Wamsler, Christine; Brossmann, Johannes; Hendersson, Heidi; Kristjansdottir, Rakel; McDonald, Colin; Scarampi, Phil] Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
C3 Lund University
RP Wamsler, C (corresponding author), Lund Univ Ctr Sustainabil Studies LUCSUS, Lund, Sweden.
EM christine.wamsler@lucsus.lu.se
CR AASHE, 2016, BULLETIN, V2016
   ACMHE, 2016, 8 ANN C ACMHE ASS CO
   Albrecht NJ, 2012, AUST J TEACH EDUC, V37, P1, DOI 10.14221/ajte.2012v37n12.2
   Amel E.L., 2009, ECOPSYCHOLOGY, V1, P14, DOI DOI 10.1089/ECO.2008.0005
   [Anonymous], PSYCHOL SUSTAINABILI
   [Anonymous], 2018, Contemporary Theories of Learning: Learning theorists In Their Own Words
   Anthony R, 2013, INT J CIRCUMPOL HEAL, V72, P1, DOI DOI 10.340/IJCH.V72I0.21224
   Australian Red Cross, 2015, EM PODC MINDF MED SM
   Aviles P.R., 2015, Journal of Applied Management and Entrepreneurship, V20, P31, DOI DOI 10.9774/GLEAF.3709.2015.JU.00005
   Baer RA, 2006, ASSESSMENT, V13, P27, DOI 10.1177/1073191105283504
   Baer RA, 2003, CLIN PSYCHOL-SCI PR, V10, P125, DOI 10.1093/clipsy/bpg015
   Barbaro N, 2016, PERS INDIV DIFFER, V93, P137, DOI 10.1016/j.paid.2015.05.026
   Barrett B, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8101040
   Becke G., 2014, Mindful change in times of permanent reorganization
   Becke G, 2012, 183 U BREM ART ART F
   Becker AJ, 2015, CHRISTIANITY TO 0420
   Biggs J., 2011, Teaching for quality learning at university
   Black David, 2010, MINDFULNESS RESEARCH, V1.5, P1
   Boyce B., 2011, The mindfulness revolution
   Brown KW, 2007, PSYCHOL INQ, V18, P211, DOI 10.1080/10478400701598298
   Brown KW, 2005, SOC INDIC RES, V74, P349, DOI 10.1007/s11205-004-8207-8
   Brown KW, 2003, J PERS SOC PSYCHOL, V84, P822, DOI 10.1037/0022-3514.84.4.822
   Brown KW, 2004, HAVING BEING I UNPUB
   Buss A.H., 1980, SELF CONSCIOUSNESS S
   Carmody J, 2009, J CLIN PSYCHOL, V65, P613, DOI 10.1002/jclp.20579
   Carrette Jeremy., 2005, SELLING SPIRITUALITY
   Carver C. S., 2012, Attention and self-regulation: A control-theory approach to human behavior
   Catani C, 2009, BMC PSYCHIATRY, V9, DOI 10.1186/1471-244X-9-22
   Chadwick Andrew., 2013, HYBRID MEDIA SYSTEM
   Chinn PWU, 2015, CULT STUD SCI EDUCAT, V10, P121, DOI 10.1007/s11422-014-9585-0
   Christopher MS, 2009, MENT HEALTH RELIG CU, V12, P303, DOI 10.1080/13674670802651487
   Christopher MS, 2009, J CLIN PSYCHOL, V65, P590, DOI 10.1002/jclp.20580
   Collins A, 2015, LEARNING CALAMITIES
   Condon P, 2013, PSYCHOL SCI, V24, P2125, DOI 10.1177/0956797613485603
   Crawford J, 2013, ISSP C CHIC INT SOC
   Csikszentmihalyi M., 1997, Finding flow: The psychology of engagement with everyday life
   Dane E, 2011, J MANAGE, V37, P997, DOI 10.1177/0149206310367948
   Davidson RJ, 2003, PSYCHOSOM MED, V65, P564, DOI 10.1097/01.PSY.0000077505.67574.E3
   Dharma Teachers International, 2014, DHARM TEACH INT COLL
   DoetschKidder S, 2012, POLIT INTERSECT, P1, DOI 10.1057/9781137100979
   Doherty TJ, 2011, AM PSYCHOL, V66, P265, DOI 10.1037/a0023141
   Doppelt B., 2016, Transformational resilience: How building human resilience to climate disruption can safeguard society and increase wellbeing
   Doty JamesR., 2016, Into the Magic Shop: A Neurosurgeon's Quest to Discover the Mysteries of the Brain and the Secrets of the Heart
   Duval, 1972, THEORY OBJECTIVE SEL
   Edwards A.R., 2015, Heart of Sustainability: Restoring Ecological Balance From the Inside Out
   Egli R, 1994, THE LOLA PRINCIPLE
   Ericson T, 2014, ECOL ECON, V104, P73, DOI 10.1016/j.ecolecon.2014.04.007
   Eriksen C, 2015, EMOT SPACE SOC, V17, P63, DOI 10.1016/j.emospa.2015.07.004
   Fabbrizzi S, 2016, AGRIC AGRIC SCI PROC, V8, P592, DOI 10.1016/j.aaspro.2016.02.081
   Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
   Gibson T, 2016, DISASTER PREV MANAG, V25, P664, DOI 10.1108/DPM-06-2016-0119
   Goleman D., 2011, The brain and emotional intelligence: New insights
   Goleman Dan., 2009, Ecological Intelligence: The Hidden Impacts of What We Buy
   Greenberg MT, 2012, CHILD DEV PERSPECT, V6, P161, DOI 10.1111/j.1750-8606.2011.00215.x
   Greene D., 2013, Acta Horticulturae, P93
   Gugerli-Dolder B, 2013, EMOTIONALE KOMPETENZ
   Gugerli-Dolder B, 2011, UMWELTBILDUNG PLUS I
   Hanh T.N., 2000, Going home: Jesus and Buddha as brothers
   Hanh ThichNhat., 2008, The World We Have: A Buddhist Approach to Peace and Ecology
   Hanh TN, 2015, STATEMENT CLIMATE CH
   Harris DL, 2016, SERIES DEATH DYING B, P278
   Hechanova RM, 2015, DISASTER PREV MANAG, V24, P610, DOI 10.1108/DPM-01-2015-0015
   Hoeberichts JH, 2012, J RELIG HEALTH, V51, P390, DOI 10.1007/s10943-010-9358-3
   Hölzel BK, 2011, PSYCHIAT RES-NEUROIM, V191, P36, DOI 10.1016/j.pscychresns.2010.08.006
   Howard SJ, 2016, J ROY SOC MED, V109, P259, DOI 10.1177/0141076816644113
   Howell AJ, 2011, PERS INDIV DIFFER, V51, P166, DOI 10.1016/j.paid.2011.03.037
   Hülsheger UR, 2013, J APPL PSYCHOL, V98, P310, DOI 10.1037/a0031313
   IMS (Institute for Mindfulness Studies), 2015, MINDF TEACH
   IPCC (Intergovernmental Panel on Climate Change), 2001, 3 ASS REP TAR
   Jacob J, 2009, SOC INDIC RES, V93, P275, DOI 10.1007/s11205-008-9308-6
   Jerneck A, 2011, SUSTAIN SCI, V6, P69, DOI 10.1007/s11625-010-0117-x
   Kabat-Zinn J, 2003, CLIN PSYCHOL-SCI PR, V10, P144, DOI 10.1093/clipsy/bpg016
   Kabat-Zinn J., 2005, Wherever you go, there you are: Mindfulness meditation in everyday life
   Kabat-Zinn J., 1990, FULL CATASTROPHE LIV
   Kajikawa Y, 2008, SUSTAIN SCI, V3, P215, DOI 10.1007/s11625-008-0053-1
   Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386
   Kaza S, 2008, MINDFULLY GREEN
   Kemp R., 2007, Sustainability: Science, Practice, and Policy, V3, P1
   Khoury B, 2013, CLIN PSYCHOL REV, V33, P763, DOI 10.1016/j.cpr.2013.05.005
   Kjell ONE, 2011, REV GEN PSYCHOL, V15, P255, DOI 10.1037/a0024603
   Koger S.M., 2015, Eco-psychology, V7, P245, DOI [DOI 10.1089/ECO.2015, DOI 10.1089/ECO.2015.0021, 10.1089/eco.2015.0021]
   Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x
   Lazar SW, 2005, NEUROREPORT, V16, P1893, DOI 10.1097/01.wnr.0000186598.66243.19
   Lee J., 2012, Journal of College and Character, V13, P1
   Lengyel A., 2015, Journal of Sustainable Development, V8, P35, DOI 10.5539/jsd.v8n9p35
   Litfin K, 2014, 6 ANN C ACMHE ASS CO
   Lockhart H, 2011, THESIS
   Lu H, 2016, J ENVIRON PSYCHOL, V45, P192, DOI 10.1016/j.jenvp.2016.01.007
   Luders E, 2009, NEUROIMAGE, V45, P672, DOI 10.1016/j.neuroimage.2008.12.061
   Lyles W, 2015, 2015 ACSP ASS COLL S
   Macy J., 1998, COMING BACK LIFE PRA
   Maibach E.W., 2015, The Francis effect: How Pope Francis changed the conversation about global warming
   Matanle P, 2011, LOCAL ENVIRON, V16, P823, DOI 10.1080/13549839.2011.607160
   McDonald C, 2016, RAISING RESILI UNPUB
   MCKINNEY F, 1976, PSYCHOTHER-THEOR RES, V13, P183, DOI 10.1037/h0088335
   Medin AH, 2013, BENEFITS MINDFULNESS
   Meiklejohn J, 2012, MINDFULNESS, V3, P291, DOI 10.1007/s12671-012-0094-5
   Mendelson T, 2010, J ABNORM CHILD PSYCH, V38, P985, DOI 10.1007/s10802-010-9418-x
   Mueller MP, 2015, CULT STUD SCI EDUCAT, V10, P1, DOI 10.1007/s11422-014-9653-5
   Neff KD, 2013, J CLIN PSYCHOL, V69, P28, DOI 10.1002/jclp.21923
   Now Unlimited, 2015, EC MINDF
   O' Leary K, 2015, J ALTERN COMPLEM MED, V21, P243, DOI 10.1089/acm.2014.0119
   One Earth Sangha, 2016, CONT ENV PRACT RETR
   One Earth Sangha, 2016, CONV CLIM JUST NEW O
   Osborne N, 2015, TOWN PLAN REV, V86, P677, DOI 10.3828/tpr.2015.39
   Parris TM, 2003, ANNU REV ENV RESOUR, V28, P559, DOI 10.1146/annurev.energy.28.050302.105551
   Powietrzynska M, 2015, CULT STUD SCI EDUCAT, V10, P65, DOI 10.1007/s11422-014-9588-x
   Purser R, 2013, MCMINDFULNESS BLOG
   Ragoonaden K., 2015, Mindful teaching and learning: Developing a pedagogy of wellbeing
   Remmers C, 2015, J POSIT PSYCHOL, V10, P282, DOI 10.1080/17439760.2014.950179
   Rinne J, 2013, ECOL INDIC, V35, P35, DOI 10.1016/j.ecolind.2012.09.023
   Rogerson PA, 2005, P NATL ACAD SCI USA, V102, P15319, DOI 10.1073/pnas.0507318102
   Ryan K, 2016, EMOT SPACE SOC, V19, P5, DOI 10.1016/j.emospa.2016.02.006
   Sameshima P, 2015, CULT STUD SCI EDUCAT, V10, P163, DOI 10.1007/s11422-014-9615-y
   Schley S, 2011, SUSTAINABILITY INNER, P2
   Schoeberlein Deborah., 2009, Mindful Teaching and Teaching Mindfulness: A Guide for Anyone Who Teaches Anything
   Schonert-Reichl K.A., 2016, Handbook of Mindfulness in Education: Integrating Theory and Research into Practice
   Schutte NS, 2011, PERS INDIV DIFFER, V50, P1116, DOI 10.1016/j.paid.2011.01.037
   Schwartz JM, 2011, MINDFULNESS MAT PARA
   Scoones I, 2007, DEV PRACT, V17, P589, DOI 10.1080/09614520701469609
   Senge P., 2006, Learning for sustainability, V1st
   Senghaas-Knobloch E, 2012, ORG POLITICAL MINDFU
   Senghaas-Knobloch E., 2014, Mindful change in times of permanent reorganization: Organizational, institutional and sustainability perspectives, P191
   Shah AK, 2012, SCIENCE, V338, P682, DOI 10.1126/science.1222426
   Shapiro SL, 2006, J CLIN PSYCHOL, V62, P373, DOI 10.1002/jclp.20237
   Sheth JN, 2011, J ACAD MARKET SCI, V39, P21, DOI 10.1007/s11747-010-0216-3
   Siqueira RP, 2016, J CLEAN PROD, V139, P1181, DOI 10.1016/j.jclepro.2016.08.056
   Smith BW, 2011, J CONSULT CLIN PSYCH, V79, P613, DOI 10.1037/a0025189
   Sol J, 2015, CULT STUD SCI EDUCAT, V10, P203, DOI 10.1007/s11422-014-9586-z
   Srivatsa UN, 2013, INT J CARDIOL, V168, P4483, DOI 10.1016/j.ijcard.2013.06.130
   Strauss A., 1967, DISCOV GROUNDED THEO
   Strauss E, 1998, CLIN ORTHOP RELAT R, P2
   Sumi A, 2007, SUSTAIN SCI, V2, P67, DOI 10.1007/s11625-006-0021-6
   Sutcliffe KM, 2011, BEST PRAC RES-CL ANA, V25, P133, DOI 10.1016/j.bpa.2011.03.001
   Tang YY, 2012, P NATL ACAD SCI USA, V109, P10570, DOI 10.1073/pnas.1207817109
   Thompson RW, 2011, TRAUMA VIOLENCE ABUS, V12, P220, DOI 10.1177/1524838011416375
   Townsend M, 2013, COULD MINDFULNESS HO
   Vaughan-Lee Llewellyn., 2013, Spiritual Ecology: The Cry of the Earth
   Vestergaard-Poulsen P, 2009, NEUROREPORT, V20, P170, DOI 10.1097/WNR.0b013e328320012a
   Waelde LC, 2008, J TRAUMA STRESS, V21, P497, DOI 10.1002/jts.20365
   Wals AEJ, 2012, LEARNING FOR SUSTAINABILITY IN TIMES OF ACCELERATING CHANGE, P21
   Wamsler C., 2007, MANAGING URBAN DISAS
   Wamsler C, 2016, TEACHING PORTFOLIO
   Weaver L., 2013, The five dimensions of engaged teaching: A practical guide for educators
   Weger UW, 2012, CONSCIOUS COGN, V21, P471, DOI 10.1016/j.concog.2011.10.011
   Weick K., 2007, Managing the unexpected: Assuring high performance in an age of complexity, V2nd
   Weil Z, 2016, COMMON DREAMS BREAKI
   Williams JMG, 2011, CONTEMP BUDDHISM, V12, P1, DOI 10.1080/14639947.2011.564811
   Wisner BL, 2014, MINDFULNESS, V5, P626, DOI 10.1007/s12671-013-0215-9
   Wolpow R., 2009, HEART LEARNING TEACH
   Yeh T., 2006, INT J PEACE STUDIES, V11, P91
   Yoshimura M, 2015, PSYCHOL REP, V117, P206, DOI 10.2466/02.13.PR0.117c11z6
   Zajonc A., 2016, HDB MINDFULNESS ED I, P17
   Zeller M, 2015, J ABNORM CHILD PSYCH, V43, P645, DOI 10.1007/s10802-014-9937-y
NR 154
TC 139
Z9 147
U1 6
U2 111
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 JAN
PY 2018
VL 13
IS 1
BP 143
EP 162
DI 10.1007/s11625-017-0428-2
PG 20
WC Green & Sustainable Science & Technology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
GA FS2MH
UT WOS:000419612300013
PM 30147776
OA hybrid, Green Published
DA 2025-01-10
ER

PT J
AU Carroll, C
   Roberts, DR
   Michalak, JL
   Lawler, JJ
   Nielsen, SE
   Stralberg, D
   Hamann, A
   Mcrae, BH
   Wang, TL
AF Carroll, Carlos
   Roberts, David R.
   Michalak, Julia L.
   Lawler, Joshua J.
   Nielsen, Scott E.
   Stralberg, Diana
   Hamann, Andreas
   Mcrae, Brad H.
   Wang, Tongli
TI Scale-dependent complementarity of climatic velocity and environmental
   diversity for identifying priority areas for conservation under climate
   change
SO GLOBAL CHANGE BIOLOGY
LA English
DT Article
DE climate change adaptation; climatic velocity; conservation planning;
   environmental diversity; land facets; protected areas; refugia
ID CHANGE ADAPTATION; BIODIVERSITY; SELECTION; DISTRIBUTIONS; MICROREFUGIA;
   TEMPERATURE; REFUGIA; FUTURE; TAXA; TIME
AB As most regions of the earth transition to altered climatic conditions, new methods are needed to identify refugia and other areas whose conservation would facilitate persistence of biodiversity under climate change. We compared several common approaches to conservation planning focused on climate resilience over a broad range of ecological settings across North America and evaluated how commonalities in the priority areas identified by different methods varied with regional context and spatial scale. Our results indicate that priority areas based on different environmental diversity metrics differed substantially from each other and from priorities based on spatiotemporal metrics such as climatic velocity. Refugia identified by diversity or velocity metrics were not strongly associated with the current protected area system, suggesting the need for additional conservation measures including protection of refugia. Despite the inherent uncertainties in predicting future climate, we found that variation among climatic velocities derived from different general circulation models and emissions pathways was less than the variation among the suite of environmental diversity metrics. To address uncertainty created by this variation, planners can combine priorities identified by alternative metrics at a single resolution and downweight areas of high variation between metrics. Alternately, coarse-resolution velocity metrics can be combined with fine-resolution diversity metrics in order to leverage the respective strengths of the two groups of metrics as tools for identification of potential macro- and microrefugia that in combination maximize both transient and long-term resilience to climate change. Planners should compare and integrate approaches that span a range of model complexity and spatial scale to match the range of ecological and physical processes influencing persistence of biodiversity and identify a conservation network resilient to threats operating at multiple scales.
C1 [Carroll, Carlos] Klamath Ctr Conservat Res, Orleans, CA 95556 USA.
   [Roberts, David R.] Univ Freiburg, Dept Biometry & Environm Syst Anal, Freiburg, Germany.
   [Michalak, Julia L.; Lawler, Joshua J.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
   [Nielsen, Scott E.; Stralberg, Diana; Hamann, Andreas] Univ Alberta, Renewable Resources Dept, Edmonton, AB, Canada.
   [Mcrae, Brad H.] Nature Conservancy, Ft Collins, CO USA.
   [Wang, Tongli] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC, Canada.
C3 University of Freiburg; University of Washington; University of
   Washington Seattle; University of Alberta; Nature Conservancy;
   University of British Columbia
RP Carroll, C (corresponding author), Klamath Ctr Conservat Res, Orleans, CA 95556 USA.
EM carlos@klamathconservation.org
RI Nielsen, Scott/O-7482-2019; Stralberg, Diana/W-9267-2019; Wang,
   Tongli/AAC-8644-2020
OI Stralberg, Diana/0000-0003-4900-024X; Michalak,
   Julia/0000-0002-2524-8390; Roberts, David/0000-0002-3437-2422; Wang,
   Tongli/0000-0002-9967-6769
FU Wilburforce Foundation
FX Wilburforce Foundation
CR Ackerly DD, 2010, DIVERS DISTRIB, V16, P476, DOI 10.1111/j.1472-4642.2010.00654.x
   Anderson MG, 2015, CONSERV BIOL, V29, P680, DOI 10.1111/cobi.12503
   Anderson MG, 2014, CONSERV BIOL, V28, P959, DOI 10.1111/cobi.12272
   Ashcroft MB, 2012, GLOBAL CHANGE BIOL, V18, P1866, DOI 10.1111/j.1365-2486.2012.02661.x
   ASTER GDEM Validation Team, 2009, ASTER GLOB DEM VAL S
   Beier P, 2015, CONSERV BIOL, V29, P1401, DOI 10.1111/cobi.12495
   Beier P, 2015, CONSERV BIOL, V29, P613, DOI 10.1111/cobi.12511
   Beier P, 2015, CONSERV BIOL, V29, P668, DOI 10.1111/cobi.12509
   Beier P, 2010, CONSERV BIOL, V24, P701, DOI 10.1111/j.1523-1739.2009.01422.x
   Bellard C, 2012, ECOL LETT, V15, P365, DOI 10.1111/j.1461-0248.2011.01736.x
   Carroll C, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0140486
   CEC, 2010, TERR PROT AR N AM 20
   CEC, 1997, Ecological regions of North America: toward a common perspective
   Comer PJ, 2015, CONSERV BIOL, V29, P692, DOI 10.1111/cobi.12508
   Crookston NL, 2008, J STAT SOFTW, V23
   Daly C, 2008, INT J CLIMATOL, V28, P2031, DOI 10.1002/joc.1688
   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
   Farr TG, 2007, REV GEOPHYS, V45, DOI 10.1029/2005RG000183
   Ferrier S, 2007, DIVERS DISTRIB, V13, P252, DOI 10.1111/j.1472-4642.2007.00341.x
   Game ET, 2011, GLOBAL CHANGE BIOL, V17, P3150, DOI 10.1111/j.1365-2486.2011.02457.x
   Garcia RA, 2014, SCIENCE, V344, P486, DOI 10.1126/science.1247579
   Gillson L, 2013, TRENDS ECOL EVOL, V28, P135, DOI 10.1016/j.tree.2012.10.008
   Goodchild M.F., 1986, SPATIAL AUTOCORRELAT
   Groves CR, 2012, BIODIVERS CONSERV, V21, P1651, DOI 10.1007/s10531-012-0269-3
   Hall A, 2014, SCIENCE, V346, P1461, DOI 10.1126/science.aaa0629
   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
   Joppa LN, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008273
   Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x
   Keith DA, 2014, CONSERV BIOL, V28, P810, DOI 10.1111/cobi.12234
   Keppel G, 2012, GLOBAL ECOL BIOGEOGR, V21, P393, DOI 10.1111/j.1466-8238.2011.00686.x
   Lawler JJ, 2015, CONSERV BIOL, V29, P618, DOI 10.1111/cobi.12505
   Loarie SR, 2009, NATURE, V462, P1052, DOI 10.1038/nature08649
   Mackey B, 2012, ECOL APPL, V22, P1852, DOI 10.1890/11-1479.1
   Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251
   McCune B, 2002, J VEG SCI, V13, P603, DOI 10.1111/j.1654-1103.2002.tb02087.x
   Meineri E, 2017, ECOGRAPHY, V40, P1003, DOI 10.1111/ecog.02494
   Moilanen A, 2006, BIOL CONSERV, V129, P427, DOI 10.1016/j.biocon.2005.11.006
   Moilanen A, 2005, P ROY SOC B-BIOL SCI, V272, P1885, DOI 10.1098/rspb.2005.3164
   Moilanen A, 2007, BIOL CONSERV, V134, P571, DOI 10.1016/j.biocon.2006.09.008
   Mora C, 2013, NATURE, V502, P183, DOI 10.1038/nature12540
   Ordonez A, 2013, ECOL LETT, V16, P773, DOI 10.1111/ele.12110
   Pepin N, 2015, NAT CLIM CHANGE, V5, P424, DOI [10.1038/nclimate2563, 10.1038/NCLIMATE2563]
   Pepin NC, 2016, J GEOPHYS RES-ATMOS, V121, P9998, DOI 10.1002/2016JD025497
   Pressey RL, 2007, TRENDS ECOL EVOL, V22, P583, DOI 10.1016/j.tree.2007.10.001
   RAO CR, 1982, THEOR POPUL BIOL, V21, P24, DOI 10.1016/0040-5809(82)90004-1
   Ray-Mukherjee J, 2014, METHODS ECOL EVOL, V5, P320, DOI 10.1111/2041-210X.12166
   Rehfeldt GE, 2006, INT J PLANT SCI, V167, P1123, DOI 10.1086/507711
   Reside AE, 2014, AUSTRAL ECOL, V39, P887, DOI 10.1111/aec.12146
   Rodrigues ASL, 2007, ANNU REV ECOL EVOL S, V38, P713, DOI 10.1146/annurev.ecolsys.38.091206.095737
   Sayre R., 2014, A new map of global ecological land units-an ecophysiographic stratification approach
   Schmitz OJ, 2015, NAT AREA J, V35, P190, DOI 10.3375/043.035.0120
   Scott JM, 2001, ECOL APPL, V11, P999, DOI 10.2307/3061007
   Stein A, 2014, ECOL LETT, V17, P866, DOI 10.1111/ele.12277
   Tingley MW, 2014, ANN NY ACAD SCI, V1322, P92, DOI 10.1111/nyas.12484
   Wang TL, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0156720
   Wang TL, 2012, FOREST ECOL MANAG, V279, P128, DOI 10.1016/j.foreco.2012.05.034
   Wang TL, 2012, J APPL METEOROL CLIM, V51, P16, DOI 10.1175/JAMC-D-11-043.1
   Xie SP, 2015, NAT CLIM CHANGE, V5, P921, DOI [10.1038/nclimate2689, 10.1038/NCLIMATE2689]
NR 60
TC 102
Z9 110
U1 12
U2 104
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 NOV
PY 2017
VL 23
IS 11
BP 4508
EP 4520
DI 10.1111/gcb.13679
PG 13
WC Biodiversity Conservation; Ecology; Environmental Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biodiversity & Conservation; Environmental Sciences & Ecology
GA FI9JI
UT WOS:000412322700007
PM 28267245
OA hybrid
DA 2025-01-10
ER

PT J
AU Caillouet, L
   Vidal, JP
   Sauquet, E
   Devers, A
   Graff, B
AF Caillouet, Laurie
   Vidal, Jean-Philippe
   Sauquet, Eric
   Devers, Alexandre
   Graff, Benjamin
TI Ensemble reconstruction of spatio-temporal extreme low-flow events in
   France since 1871
SO HYDROLOGY AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID 20TH-CENTURY REANALYSIS; STREAMFLOW DROUGHTS; NORTHERN QUEBEC; RETURN
   PERIOD; PRECIPITATION; CLIMATE; VARIABILITY; UNCERTAINTIES; PROJECTIONS;
   VALIDATION
AB The length of streamflow observations is generally limited to the last 50 years even in data-rich countries like France. It therefore offers too small a sample of extreme low-flow events to properly explore the long-term evolution of their characteristics and associated impacts. To overcome this limit, this work first presents a daily 140-year ensemble reconstructed streamflow dataset for a reference network of near-natural catchments in France. This dataset, called SCOPE Hydro (Spatially COherent Probabilistic Extended Hydrological dataset), is based on (1) a probabilistic precipitation, temperature, and reference evapo-transpiration downscaling of the Twentieth Century Reanalysis over France, called SCOPE Climate, and (2) continuous hydrological modelling using SCOPE Climate as forcings over the whole period. This work then introduces tools for defining spatio-temporal extreme low-flow events. Extreme low-flow events are first locally defined through the sequent peak algorithm using a novel combination of a fixed threshold and a daily variable threshold. A dedicated spatial matching procedure is then established to identify spatio-temporal events across France. This procedure is furthermore adapted to the SCOPE Hydro 25-member ensemble to characterize in a probabilistic way unrecorded historical events at the national scale. Extreme low-flow events are described and compared in a spatially and temporally homogeneous way over 140 years on a large set of catchments. Results highlight well-known recent events like 1976 or 19891990, but also older and relatively forgotten ones like the 1878 and 1893 events. These results contribute to improving our knowledge of historical events and provide a selection of benchmark events for climate change adaptation purposes. Moreover, this study allows for further detailed analyses of the effect of climate variability and anthropogenic climate change on low-flow hydrology at the scale of France.
C1 [Caillouet, Laurie; Vidal, Jean-Philippe; Sauquet, Eric; Devers, Alexandre] Irstea, UR HHLY, Hydrol & Hydraul Res Unit, 5 Rue Doua,BP32108, F-69616 Villeurbanne, France.
   [Graff, Benjamin] CNR, 2 Rue Andre Bonin, F-69004 Lyon, France.
C3 INRAE
RP Caillouet, L (corresponding author), Irstea, UR HHLY, Hydrol & Hydraul Res Unit, 5 Rue Doua,BP32108, F-69616 Villeurbanne, France.
EM laurie.caillouet@gmail.com
RI Caillouet, Laurie/J-4465-2016; Devers, Alexandre/GOH-1395-2022; Devers,
   Alexandre/S-9216-2017; Vidal, Jean-Philippe/E-6187-2010
OI Devers, Alexandre/0000-0001-6708-0066; Vidal,
   Jean-Philippe/0000-0002-3748-6150; Sauquet, Eric/0000-0001-9539-7730
FU Irstea; CNR
FX The authors would like to thank Meteo-France for providing access to the
   Safran database. The authors would like to thank Guillaume Thirel for
   his constructive advice provided during the hydrological modelling step.
   Analyses were performed in R (R Core Team, 2016), with packages dplyr
   (Wickham and Francois, 2015), ggplot2 (Wickham, 2009), ggrepel
   (Slowikowski, 2016), cowplot (Wilke, 2016), RColorBrewer (Neuwirth,
   2014), reshape2 (Wickham, 2007), sp (Pebesma and Bivand, 2005; Bivand et
   al., 2013), grid (R Core Team, 2016), gridExtra (Auguie, 2016), scales
   (Wickham, 2016), and lubridate (Grolemund and Wickham, 2011). Laurie
   Caillouet's PhD thesis is funded by Irstea and CNR. The authors would
   like to thank T. Mathevet and two anonymous referees for their comments
   that greatly helped to improve the manuscript.
CR Andreadis KM, 2005, J HYDROMETEOROL, V6, P985, DOI 10.1175/JHM450.1
   [Anonymous], 2010, THESIS
   [Anonymous], 2020, scales: Scale functions for visualization
   [Anonymous], REV DEUX MONDES
   [Anonymous], ANN BUREAU CENTRAL M
   [Anonymous], HYDROL EART IN PRESS
   [Anonymous], ETUDE GESTION QUANTI
   [Anonymous], DROUGHT FRANCE 1989
   [Anonymous], WATER RESOUR MANAGE
   [Anonymous], GRID GRAPHICS
   [Anonymous], PONTS CHAUSSEES MAGA
   [Anonymous], HYDROL RES
   [Anonymous], SECHERESSE PRINTEMPS
   [Anonymous], 2013, HYDROL EARTH SYST SC, DOI DOI 10.5194/hess-17-2717-2013
   [Anonymous], REV GEOGRAPHIE LYON
   [Anonymous], REV GEOGRAPHIQUE PYR
   [Anonymous], 2004, DEV WATER SCI 48
   [Anonymous], 2011, Adv Geo Sci
   [Anonymous], ANN BUREAU CENTRAL M
   [Anonymous], 56 FAO
   [Anonymous], ANN BUREAU CENTRAL M
   [Anonymous], TEMANORD
   [Anonymous], ASTRONOMIE
   [Anonymous], 2015, R PACKAGE VERSION
   [Anonymous], THESIS
   [Anonymous], 1993, INT J CLIMATOL, DOI DOI 10.1002/JOC.846
   Auffray A, 2011, HOUILLE BLANCHE, P44, DOI 10.1051/lhb/2011005
   Ben Daoud A, 2016, ATMOS RES, V169, P147, DOI 10.1016/j.atmosres.2015.09.015
   Brigode P, 2016, CLIM PAST, V12, P1785, DOI 10.5194/cp-12-1785-2016
   Brochet P, 1977, Hydrol. Sci. Bull., V22, P393, DOI [10.1080/02626667709491733, DOI 10.1080/02626667709491733]
   Burn DH, 1997, J HYDROL, V202, P212, DOI 10.1016/S0022-1694(97)00068-1
   Caillouet L, 2016, CLIM PAST, V12, P635, DOI 10.5194/cp-12-635-2016
   Catalogne C, 2014, HOUILLE BLANCHE, P78, DOI 10.1051/lhb/2014042
   Chauveau M, 2013, HOUILLE BLANCHE, P5, DOI 10.1051/lhb/2013027
   Cipriani T, 2012, HOUILLE BLANCHE, P5, DOI 10.1051/lhb/2012024
   Clark M, 2004, J HYDROMETEOROL, V5, P243, DOI 10.1175/1525-7541(2004)005<0243:TSSAMF>2.0.CO;2
   Compo GP, 2011, Q J ROY METEOR SOC, V137, P1, DOI 10.1002/qj.776
   Cook ER, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500561
   Crooks SM, 2015, J HYDROL-REG STUD, V4, P172, DOI 10.1016/j.ejrh.2015.05.014
   Dayon G, 2015, J GEOPHYS RES-ATMOS, V120, P1023, DOI 10.1002/2014JD022236
   Demargne J, 2014, B AM METEOROL SOC, V95, P79, DOI 10.1175/BAMS-D-12-00081.1
   Duband D, 2010, HOUILLE BLANCHE, P51, DOI 10.1051/LHB/2010041
   Fleig AK, 2006, HYDROL EARTH SYST SC, V10, P535, DOI 10.5194/hess-10-535-2006
   Forzieri G, 2014, HYDROL EARTH SYST SC, V18, P85, DOI 10.5194/hess-18-85-2014
   Giuntoli I, 2015, EARTH SYST DYNAM, V6, P267, DOI 10.5194/esd-6-267-2015
   Giuntoli I, 2013, J HYDROL, V482, P105, DOI [1, 10.1016/j.jhydrol.2012.12.038]
   Grolemond G, 2011, J STAT SOFTW, V40, P1
   Gupta HV, 2009, J HYDROL, V377, P80, DOI 10.1016/j.jhydrol.2009.08.003
   Hisdal H, 2001, INT J CLIMATOL, V21, P317, DOI 10.1002/joc.619
   Jones PD, 2006, INT J CLIMATOL, V26, P219, DOI 10.1002/joc.1252
   KOERNER W., 2000, REV FORESTIERE FRANC, VLII, P249, DOI DOI 10.4267/2042/5359
   Kuentz A, 2015, HYDROL EARTH SYST SC, V19, P2717, DOI 10.5194/hess-19-2717-2015
   Kuentz A, 2013, IAHS-AISH P, V360, P19
   Le Moine N., 2008, THESIS
   LORENZ EN, 1969, J ATMOS SCI, V26, P636, DOI 10.1175/1520-0469(1969)26<636:APARBN>2.0.CO;2
   Meko DM, 2012, J HYDROL, V412, P200, DOI 10.1016/j.jhydrol.2010.11.041
   Moreau F, 2004, HOUILLE BLANCHE, P70, DOI 10.1051/lhb:200404010
   Neuwirth E., 2014, RCOLORBREWER COLORBR
   Nicault A, 2014, J HYDROL, V513, P435, DOI 10.1016/j.jhydrol.2014.03.054
   Nicolle P, 2014, HYDROL EARTH SYST SC, V18, P2829, DOI 10.5194/hess-18-2829-2014
   Pebesma EJ, 2005, R news, V5, P9
   Perrin C, 2003, J HYDROL, V279, P275, DOI 10.1016/S0022-1694(03)00225-7
   Pfister C, 2006, HYDROLOG SCI J, V51, P966, DOI 10.1623/hysj.51.5.966
   Poli P, 2016, J CLIMATE, V29, P4083, DOI 10.1175/JCLI-D-15-0556.1
   Prudhomme C, 2014, P NATL ACAD SCI USA, V111, P3262, DOI 10.1073/pnas.1222473110
   Pushpalatha R, 2012, J HYDROL, V420, P171, DOI 10.1016/j.jhydrol.2011.11.055
   Pushpalatha R, 2011, J HYDROL, V411, P66, DOI 10.1016/j.jhydrol.2011.09.034
   Quintana-Seguí P, 2008, J APPL METEOROL CLIM, V47, P92, DOI 10.1175/2007JAMC1636.1
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Radanovics S, 2013, HYDROL EARTH SYST SC, V17, P4189, DOI 10.5194/hess-17-4189-2013
   Robertson DE, 2013, HYDROL EARTH SYST SC, V17, P3587, DOI 10.5194/hess-17-3587-2013
   Sauquet E, 2011, HYDROL EARTH SYST SC, V15, P2421, DOI 10.5194/hess-15-2421-2011
   Sauquet E, 2006, J HYDROL, V331, P300, DOI 10.1016/j.jhydrol.2006.05.018
   Shiau JT, 2001, J WATER RES PL-ASCE, V127, P30, DOI 10.1061/(ASCE)0733-9496(2001)127:1(30)
   Sípek V, 2015, J HYDROL, V528, P720, DOI 10.1016/j.jhydrol.2015.07.008
   Sippel S, 2016, EARTH SYST DYNAM, V7, P71, DOI 10.5194/esd-7-71-2016
   Slowikowski K., 2016, GGREPEL REPULSIVE TE
   Smakhtin VU, 2001, J HYDROL, V240, P147, DOI 10.1016/S0022-1694(00)00340-1
   Snelder TH, 2013, HYDROL EARTH SYST SC, V17, P2685, DOI 10.5194/hess-17-2685-2013
   Soubeyroux JM, 2010, HOUILLE BLANCHE, P30, DOI 10.1051/lhb/2010051
   Spraggs G, 2015, J HYDROL, V526, P231, DOI 10.1016/j.jhydrol.2015.01.015
   Tallaksen LM, 2014, GEOPHYS RES LETT, V41, P429, DOI 10.1002/2013GL058573
   Tallaksen LM, 1997, HYDROLOG SCI J, V42, P15, DOI 10.1080/02626669709492003
   Timbal B, 2006, J CLIMATE, V19, P2046, DOI 10.1175/JCLI3817.1
   Uhlemann S, 2010, HYDROL EARTH SYST SC, V14, P1277, DOI 10.5194/hess-14-1277-2010
   Valéry A, 2014, J HYDROL, V517, P1176, DOI 10.1016/j.jhydrol.2014.04.058
   van Huijgevoort MHJ, 2012, HYDROL EARTH SYST SC, V16, P2437, DOI 10.5194/hess-16-2437-2012
   Van Lanen HAJ, 2016, HYDROL PROCESS, V30, P3097, DOI 10.1002/hyp.10838
   Van Loon AF, 2015, J HYDROL, V526, P3, DOI 10.1016/j.jhydrol.2014.10.059
   Van Loon AF, 2012, HYDROL EARTH SYST SC, V16, P1915, DOI 10.5194/hess-16-1915-2012
   Verkade JS, 2013, J HYDROL, V501, P73, DOI 10.1016/j.jhydrol.2013.07.039
   Vidal JP, 2012, HYDROL EARTH SYST SC, V16, P2935, DOI 10.5194/hess-16-2935-2012
   Vidal JP, 2010, HYDROL EARTH SYST SC, V14, P459, DOI 10.5194/hess-14-459-2010
   Vidal JP, 2016, HYDROL EARTH SYST SC, V20, P3651, DOI 10.5194/hess-20-3651-2016
   Vidal JP, 2010, INT J CLIMATOL, V30, P1627, DOI 10.1002/joc.2003
   VOGEL RM, 1987, J HYDROL, V89, P303, DOI 10.1016/0022-1694(87)90184-3
   Vrac M, 2015, J CLIMATE, V28, P218, DOI 10.1175/JCLI-D-14-00059.1
   Wickham H, 2009, USE R, P1, DOI 10.1007/978-0-387-98141-3
   Wickham H, 2007, J STAT SOFTW, V21, P1
   Wilke CO., 2016, COWPLOT STREAMLINED
   Wilks DS, 2015, Q J ROY METEOR SOC, V141, P945, DOI 10.1002/qj.2414
   Zaidman MD, 2002, HYDROL EARTH SYST SC, V6, P733, DOI 10.5194/hess-6-733-2002
NR 102
TC 39
Z9 41
U1 2
U2 27
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1027-5606
EI 1607-7938
J9 HYDROL EARTH SYST SC
JI Hydrol. Earth Syst. Sci.
PD JUN 15
PY 2017
VL 21
IS 6
BP 2923
EP 2951
DI 10.5194/hess-21-2923-2017
PG 29
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA EX9FV
UT WOS:000403563400002
OA Green Submitted, gold
DA 2025-01-10
ER

PT J
AU Yin, XG
   Olesen, JE
   Wang, M
   Öztürk, I
   Zhang, HL
   Chen, F
AF Yin, Xiaogang
   Olesen, Jorgen E.
   Wang, Meng
   Ozturk, Isik
   Zhang, Hailin
   Chen, Fu
TI Impacts and adaptation of the cropping systems to climate change in the
   Northeast Farming Region of China
SO EUROPEAN JOURNAL OF AGRONOMY
LA English
DT Article
DE Climate change; Vulnerability; Impact; Adaptation; Cropping systems; The
   Northeast Farming Region of China
ID MAIZE PRODUCTION; HIGH-TEMPERATURE; GROWTH PERIOD; DROUGHT RISK; YIELD;
   RICE; PESTS
AB The Northeast Farming Region of China (NFR) is a very important crop growing area, comprising seven sub-regions: Xing'anling (XA), Sanjiang (SJ), Northwest Songliao (NSL), Central Songliao (CSL), Southwest Songliao (SSL), Changbaishan (CB) and Liaodong (LD), which has been severely affected by extreme climate events and climatic change. Therefore, a set of expert survey has been done to identify current and project future climate limitations to crop production and explore appropriate adaptation measures in NFR. Droughts have been the largest limitation for maize (Zea mays L.) in NSL and SSL, and for soybean (Glycine max L Merr.) in SSL. Chilling damage has been the largest limitation for rice (Oryza sativa L) production in XA, SJ and CB. Projected climate change is expected to be beneficial for expanding the crop growing season, and to provide more suitable conditions for sowing and harvest. Autumn frost will occur later in most parts of NFR, and chilling damage will also decrease, particularly for rice production in XA and SJ. Drought and heat stress are expected to become more severe for maize and soybean production in most parts of NFR. Also, plant diseases, pests and weeds are considered to become more severe for crop production under climate change. Adaptation measures that have already been implemented in recent decades to cope with current climatic limitations include changes in timing of cultivation, variety choice, soil tillage practices, crop protection, irrigation and use of plastic film for soil cover. With the projected climate change and increasing risk of climatic extremes, additional adaptation measures will become relevant for sustaining and improving productivity of crops in NFR to ensure food security in China. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Yin, Xiaogang; Wang, Meng; Zhang, Hailin; Chen, Fu] China Agr Univ, Coll Agron, Beijing 100193, Peoples R China.
   [Yin, Xiaogang; Wang, Meng; Zhang, Hailin; Chen, Fu] Minist Agr China, Key Lab Farming Syst, Beijing 100193, Peoples R China.
   [Yin, Xiaogang; Olesen, Jorgen E.; Ozturk, Isik] Aarhus Univ, Dept Agroecol, Blichers Alle 20, DK-8830 Tjele, Denmark.
C3 China Agricultural University; Ministry of Agriculture & Rural Affairs;
   Aarhus University
RP Chen, F (corresponding author), China Agr Univ, Coll Agron, Beijing 100193, Peoples R China.; Chen, F (corresponding author), Minist Agr China, Key Lab Farming Syst, Beijing 100193, Peoples R China.
EM chenfu@cau.edu.cn
RI Yin, Xiaogang/ACJ-5019-2022; Olesen, Jørgen/Y-2857-2019; Ozturk,
   Isik/C-4904-2015; Zhang, Hai-Lin/H-2715-2017
OI Olesen, Jorgen E./0000-0002-6639-1273; Zhang,
   Hai-Lin/0000-0002-7426-2885; Yin, Xiaogang/0000-0001-9925-4585;
   /0000-0003-4623-3611
FU Ministry of Agriculture of China [201103001]; Danish Innovation
   Foundation [060300507b]
FX This work was financially supported by the Ministry of Agriculture of
   China (Special Fund for Agro-scientific Research in the Public Interest:
   Grant No. 201103001). The FACCE MACSUR project funded by the Danish
   Innovation Foundation, (contract 060300507b) is also gratefully
   acknowledged. We also sincerely acknowledge the inputs of all experts
   who participated in our survey. We greatly thank Huajun Tang for
   providing the remote sensing figure. We also thank Yurui Li's
   suggestions in designing the questionnaire, and Kun Zhou's help in
   drawing figures with MATLAB.
CR [Anonymous], CHINESE J AGROMETEOR
   [Anonymous], CHINESE FARMING SYST
   [Anonymous], 2014, CLIMATE CHANGE 2014, V80, P1
   [Anonymous], 2007, J METEOROL ENV
   Baker RHA, 2000, AGR ECOSYST ENVIRON, V82, P57, DOI 10.1016/S0167-8809(00)00216-4
   Bale JS, 2002, GLOBAL CHANGE BIOL, V8, P1, DOI 10.1046/j.1365-2486.2002.00451.x
   Chen CQ, 2012, EUR J AGRON, V38, P94, DOI 10.1016/j.eja.2011.07.003
   Chen CQ, 2011, AGR FOREST METEOROL, V151, P1580, DOI 10.1016/j.agrformet.2011.06.013
   Chen XC, 2013, GLOBAL CHANGE BIOL, V19, P923, DOI 10.1111/gcb.12093
   Ding Y., 2006, Advances in Climate Change Research, V2, P1, DOI DOI 10.1016/0360-1285(76)90008-3
   Gao Q., 2010, CHIN AGR SCI B, V26, P229
   Gao XiaoRong Gao XiaoRong, 2012, Transactions of the Chinese Society of Agricultural Engineering, V28, P101
   HAVLIN JL, 1990, SOIL SCI SOC AM J, V54, P448, DOI 10.2136/sssaj1990.03615995005400020026x
   Huo Zhi-guo, 2012, Scientia Agricultura Sinica, V45, P1926
   [贾建英 JIA Jianying], 2011, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V25, P109
   [矫江 JIAO Jiang], 2008, [自然灾害学报, Journal of Natural Disasters], V17, P41
   Ju H, 2013, CLIMATIC CHANGE, V120, P313, DOI 10.1007/s10584-013-0803-7
   Li QiFeng Li QiFeng, 2008, Journal of China Agricultural University, V13, P74
   Liu CA, 2009, EUR J AGRON, V31, P241, DOI 10.1016/j.eja.2009.08.004
   [刘彦随 LIU Yansui], 2006, [地理学报, Acta Geographica Sinica], V61, P847
   Liu ZJ, 2013, GLOBAL CHANGE BIOL, V19, P3481, DOI 10.1111/gcb.12324
   Liu ZJ, 2013, CLIMATIC CHANGE, V117, P891, DOI 10.1007/s10584-012-0594-2
   Liu ZJ, 2012, GLOBAL CHANGE BIOL, V18, P3441, DOI 10.1111/j.1365-2486.2012.02774.x
   Lobell DB, 2013, NAT CLIM CHANGE, V3, P497, DOI [10.1038/nclimate1832, 10.1038/NCLIMATE1832]
   [马树庆 MA ShuQing], 2008, [生态学报, Acta Ecologica Sinica], V28, P2131
   Ma ShuQing Ma ShuQing, 2007, Transactions of the Chinese Society of Agricultural Engineering, V23, P66
   Olesen JE, 2011, EUR J AGRON, V34, P96, DOI 10.1016/j.eja.2010.11.003
   Piao SL, 2010, NATURE, V467, P43, DOI 10.1038/nature09364
   [齐华 Qi Hua], 2012, [华北农学报, Acta Agriculturae Boreali-Sinica], V27, P191
   Schlenker W, 2009, P NATL ACAD SCI USA, V106, P15594, DOI 10.1073/pnas.0906865106
   Song XY, 2014, THEOR APPL CLIMATOL, V116, P371, DOI 10.1007/s00704-013-0957-2
   Song ZW, 2013, EUR J AGRON, V50, P66, DOI 10.1016/j.eja.2013.05.008
   Sun W, 2011, AGR FOREST METEOROL, V151, P1193, DOI 10.1016/j.agrformet.2011.04.009
   Surminski S, 2016, NAT CLIM CHANGE, V6, P332
   Tang PengQin Tang PengQin, 2013, Transactions of the Chinese Society of Agricultural Engineering, V29, P96
   Tao FL, 2014, GLOBAL CHANGE BIOL, V20, P3686, DOI 10.1111/gcb.12684
   Tao FL, 2013, GLOBAL CHANGE BIOL, V19, P3200, DOI 10.1111/gcb.12250
   TASHIRO T, 1989, ANN BOT-LONDON, V64, P59, DOI 10.1093/oxfordjournals.aob.a087808
   Thorup-Kristensen K, 2003, ADV AGRON, V79, P227, DOI 10.1016/S0065-2113(02)79005-6
   Wang JX, 2014, J INTEGR AGR, V13, P1, DOI 10.1016/S2095-3119(13)60588-2
   [王倩 Wang Qian], 2012, [植物遗传资源学报, Journal of Plant Genetic Resources], V13, P143
   [王玉莹 Wang Yuying], 2012, [中国农业科学, Scientia Agricultura Sinica], V45, P4959
   Xu XC, 2013, NAT HAZARDS, V66, P1257, DOI 10.1007/s11069-012-0549-y
   Yin XG, 2016, J AGR SCI-CAMBRIDGE, V154, P1171, DOI 10.1017/S0021859616000150
   Yin Xiao-gang, 2015, Yingyong Shengtai Xuebao, V26, P186
   Yin XG, 2016, EUR J AGRON, V77, P47, DOI 10.1016/j.eja.2016.03.004
   Yin XiaoGang Yin XiaoGang, 2012, Transactions of the Chinese Society of Agricultural Engineering, V28, P123
   Yu XY, 2014, NAT HAZARDS, V71, P275, DOI 10.1007/s11069-013-0909-2
   Yuan B, 2012, CHINESE SCI BULL, V57, P3497, DOI 10.1007/s11434-012-5135-x
   [袁杭 Yuan Hang], 2010, [玉米科学, Maize Science], V18, P142
   Zhang JQ, 2004, AGR ECOSYST ENVIRON, V102, P133, DOI 10.1016/j.agee.2003.08.003
   Zhang WeiJian Zhang WeiJian, 2012, Scientia Agricultura Sinica, V45, P1265
   Zhang Z, 2014, NAT HAZARDS, V71, P2087, DOI 10.1007/s11069-013-0998-y
   [赵俊芳 ZHAO Jun-Fang], 2009, [生态学报, Acta Ecologica Sinica], V29, P6544
   Zhen X., 2012, HEILONGJIANG AGR SCI, V2, P146
   Zheng HF, 2009, J AGR SCI-CAMBRIDGE, V147, P569, DOI 10.1017/S002185960900879X
NR 56
TC 65
Z9 70
U1 8
U2 145
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 AUG
PY 2016
VL 78
BP 60
EP 72
DI 10.1016/j.eja.2016.04.012
PG 13
WC Agronomy
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Agriculture
GA DP0PW
UT WOS:000378192700006
DA 2025-01-10
ER

PT J
AU Jägermeyr, J
   Gerten, D
   Schaphoff, S
   Heinke, J
   Lucht, W
   Rockström, J
AF Jaegermeyr, J.
   Gerten, D.
   Schaphoff, S.
   Heinke, J.
   Lucht, W.
   Rockstrom, J.
TI Integrated crop water management might sustainably halve the global food
   gap
SO ENVIRONMENTAL RESEARCH LETTERS
LA English
DT Article
DE sustainable intensification; yield gap; water harvesting; conservation
   agriculture; irrigation efficiency; food security; climate change
   adaptation
ID DRY-SPELL MITIGATION; RAIN-FED AGRICULTURE; SUB-SAHARAN AFRICA;
   SUPPLEMENTAL IRRIGATION; CLIMATE-CHANGE; SMALLHOLDER IRRIGATION;
   ENVIRONMENTAL IMPACTS; INTENSIFICATION; PRODUCTIVITY; SYSTEMS
AB As planetary boundaries are rapidly being approached, humanity has little room for additional expansion and conventional intensification of agriculture, while a growing world population further spreads the food gap. Ample evidence exists that improved on-farm water management can close water-related yield gaps to a considerable degree, but its global significance remains unclear. In this modeling study we investigate systematically to what extent integrated crop water management might contribute to closing the global food gap, constrained by the assumption that pressure on water resources and land does not increase. Using a process-based bio-/agrosphere model, we simulate the yield-increasing potential of elevated irrigation water productivity (including irrigation expansion with thus saved water) and optimized use of in situ precipitation water (alleviated soil evaporation, enhanced infiltration, water harvesting for supplemental irrigation) under current and projected future climate (from 20 climate models, with and without beneficial CO2 effects). Results show that irrigation efficiency improvements can save substantial amounts of water in many river basins (globally 48% of non-productive water consumption in an 'ambitious' scenario), and if rerouted to irrigate neighboring rainfed systems, can boost kcal production significantly (26% global increase). Low-tech solutions for small-scale farmers on water-limited croplands show the potential to increase rainfed yields to a similar extent. In combination, the ambitious yet achievable integrated water management strategies explored in this study could increase global production by 41% and close the water-related yield gap by 62%. Unabated climate change will have adverse effects on crop yields in many regions, but improvements in water management as analyzed here can buffer such effects to a significant degree.
C1 [Jaegermeyr, J.; Gerten, D.; Schaphoff, S.; Heinke, J.; Lucht, W.] Potsdam Inst Climate Impact Res PIK, Res Domain Earth Syst Anal, Telegraphenberg A62, D-14473 Potsdam, Germany.
   [Jaegermeyr, J.; Gerten, D.; Lucht, W.] Humboldt Univ, Dept Geog, Unter Linden 6, D-10099 Berlin, Germany.
   [Heinke, J.] Int Livestock Res Inst, POB 30709, Nairobi 00100, Kenya.
   [Heinke, J.] CSIRO, St Lucia, Qld 4067, Australia.
   [Rockstrom, J.] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden.
C3 Potsdam Institut fur Klimafolgenforschung; Humboldt University of
   Berlin; CGIAR; International Livestock Research Institute (ILRI);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Stockholm University
RP Jägermeyr, J (corresponding author), Potsdam Inst Climate Impact Res PIK, Res Domain Earth Syst Anal, Telegraphenberg A62, D-14473 Potsdam, Germany.; Jägermeyr, J (corresponding author), Humboldt Univ, Dept Geog, Unter Linden 6, D-10099 Berlin, Germany.
EM jonas.jaegermeyr@pik-potsdam.de
RI Rockström, Johan/G-1168-2010; Gerten, Dieter/B-2975-2013; Lucht,
   Wolfgang/G-2180-2011
OI Gerten, Dieter/0000-0002-6214-6991; Lucht, Wolfgang/0000-0002-3398-8575;
   Jagermeyr, Jonas/0000-0002-8368-0018; Rockstrom,
   Johan/0000-0001-8988-2983
FU FACCE MACSUR project [031A103B]; Leibniz Competition [SAW-2013-PIK-5]
FX This study was partly funded by the FACCE MACSUR project (031A103B) and
   within the framework of the Leibniz Competition (SAW-2013-PIK-5). We
   thank Matti Kummu for helpful comments. Moreover, we acknowledge the
   World Climate Research Programme's Working Group on Coupled Modelling,
   which is responsible for CMIP, and we thank the climate modeling groups
   (listed in table S2) for producing and making available their model
   output.
CR Alexandratos N., 2012, ESA Working Paper, DOI 10.22004/ag.econ.288998
   [Anonymous], 2005, FAO FISH COUNTR PROF
   [Anonymous], 2016, Technical Report
   [Anonymous], TECHNICAL REPORT
   [Anonymous], 2007, Water for Food, Water for Life: A Comprehensive Assessment of Water Management in Agriculture, DOI DOI 10.4324/9781849773799
   [Anonymous], TECHNICAL REPORT
   [Anonymous], 2014, BETTER GROWTH BETTER
   Araya A, 2010, AGR WATER MANAGE, V97, P841, DOI 10.1016/j.agwat.2010.01.012
   Barron J, 2005, AGR WATER MANAGE, V74, P1, DOI 10.1016/j.agwat.2004.11.002
   Barron J., 2015, Water Resources and Rural Development, V6, P24, DOI [DOI 10.1016/J.WRR.2015.06.001, https://doi.org/10.1016/j.wrr.2015.06.001, 10.1016/j.wrr.2015.06.001]
   Biazin B, 2012, PHYS CHEM EARTH, V47-48, P139, DOI 10.1016/j.pce.2011.08.015
   Biemans H, 2011, WATER RESOUR RES, V47, DOI 10.1029/2009WR008929
   Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x
   Bos M.G., 2009, WAT REQ IRR ENV, P174
   Botha J J, 2007, ON FARM APPL IN FIEL
   Brauman KA, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024030
   Bu LD, 2013, AGR WATER MANAGE, V123, P71, DOI 10.1016/j.agwat.2013.03.015
   Burney JA, 2013, P NATL ACAD SCI USA, V110, P12513, DOI 10.1073/pnas.1203597110
   Burney JA, 2012, WORLD DEV, V40, P110, DOI 10.1016/j.worlddev.2011.05.007
   Christian-Smith J, 2012, WATER POLICY, V14, P194, DOI 10.2166/wp.2011.017
   DAAMEN CC, 1995, AGR WATER MANAGE, V27, P225, DOI 10.1016/0378-3774(95)01157-E
   DeFries R, 2015, SCIENCE, V349, P238, DOI 10.1126/science.aaa5766
   Dile YT, 2013, AGR ECOSYST ENVIRON, V181, P69, DOI 10.1016/j.agee.2013.09.014
   Dillon A, 2011, WORLD DEV, V39, P2165, DOI 10.1016/j.worlddev.2011.04.006
   Dobermann A, 2015, TECHNICAL REPORT
   Döll P, 2014, WATER RESOUR RES, V50, P5698, DOI 10.1002/2014WR015595
   Fader M, 2010, J HYDROL, V384, P218, DOI 10.1016/j.jhydrol.2009.12.011
   Falkenmark M, 2001, TECHNICAL REPORT
   Faures J M., 2007, Water for food Water for life. Comprehensive assessment of water management in agriculture, P353
   Fishman R, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/084022
   Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772
   Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452
   Fox P, 2005, AGR SYST, V83, P231, DOI 10.1016/j.agsy.2004.04.002
   Fox P, 2003, AGR WATER MANAGE, V61, P29, DOI 10.1016/S0378-3774(03)00008-8
   Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485
   Gleick P., 2009, WORLDS WATER 2008 20
   Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383
   Harris I., 2014, International Journal of Climatology, V34, P623, DOI 10.1002/joc.3711
   Heinke J, 2013, GEOSCI MODEL DEV, V6, P1689, DOI 10.5194/gmd-6-1689-2013
   International Assessment of Agricultural Knowledge Science and Technology for Development (IAASTD), 2009, GLOB REP
   Jägermeyr J, 2015, HYDROL EARTH SYST SC, V19, P3073, DOI 10.5194/hess-19-3073-2015
   Kahinda JM, 2008, PHYS CHEM EARTH, V33, P788, DOI 10.1016/j.pce.2008.06.047
   Kahinda JM, 2011, PHYS CHEM EARTH, V36, P968, DOI 10.1016/j.pce.2011.08.011
   Kahinda JMM, 2007, PHYS CHEM EARTH, V32, P1068, DOI 10.1016/j.pce.2007.07.011
   Karimi P, 2012, AGR WATER MANAGE, V108, P52, DOI 10.1016/j.agwat.2011.09.001
   Kijne J, 2009, TECHNICAL REPORT
   Le Blanc D., 2015, Global Sustainable Development Report 2015
   Lebel S, 2015, WATER RESOUR MANAG, V29, P4803, DOI 10.1007/s11269-015-1091-y
   Licker R, 2010, GLOBAL ECOL BIOGEOGR, V19, P769, DOI 10.1111/j.1466-8238.2010.00563.x
   Liu EK, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/9/091001
   Mahdi S. S., 2015, Australian Journal of Crop Science, V9, P585
   Mati B, 2007, TECHNICAL REPORT
   Matson PA, 1997, SCIENCE, V277, P504, DOI 10.1126/science.277.5325.504
   Mazvimavi K., 2008, An assessment of the sustainable adoption of conservation farming in Zimbabwe
   Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420
   Ngigi SN, 2003, PHYS CHEM EARTH, V28, P943, DOI 10.1016/j.pce.2003.08.015
   Oweis T, 2006, AGR WATER MANAGE, V80, P57, DOI 10.1016/j.agwat.2005.07.004
   Oweis T. Y., 2003, Water productivity in agriculture: limits and opportunities for improvement, P179, DOI 10.1079/9780851996691.0179
   Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485
   Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435
   Postel S, 2001, WATER INT, V26, P3, DOI 10.1080/02508060108686882
   Pretty JN, 2006, ENVIRON SCI TECHNOL, V40, P1114, DOI 10.1021/es051670d
   Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583
   Reynolds TW, 2015, FOOD SECUR, V7, P795, DOI 10.1007/s12571-015-0478-1
   Rockström J, 2003, PHILOS T R SOC B, V358, P1997, DOI 10.1098/rstb.2003.1400
   Rockström J, 2003, COMP ASSESS WAT MAN, V1, P145, DOI 10.1079/9780851996691.0145
   Rockström J, 2007, P NATL ACAD SCI USA, V104, P6253, DOI 10.1073/pnas.0605739104
   Rockström J, 2015, NATURE, V519, P283, DOI 10.1038/519283a
   Rockström J, 2010, AMBIO, V39, P257, DOI 10.1007/s13280-010-0033-4
   Rosenzweig Cynthia, 2014, Proc Natl Acad Sci U S A, V111, P3268, DOI 10.1073/pnas.1222463110
   Rost S, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/4/044002
   Sánchez PA, 2010, NAT GEOSCI, V3, P299, DOI 10.1038/ngeo853
   Schaphoff S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014026
   Schneider U, 2014, THEOR APPL CLIMATOL, V115, P15, DOI 10.1007/s00704-013-0860-x
   Siebert S, 2015, HYDROL EARTH SYST SC, V19, P1521, DOI 10.5194/hess-19-1521-2015
   Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855
   Studer R, 2013, TECHNICAL REPORT
   Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1
   The Royal Society, 2009, REAP BEN SCI SUST IN
   Tilman D, 1999, P NATL ACAD SCI USA, V96, P5995, DOI 10.1073/pnas.96.11.5995
   Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108
   Tsubo M, 2007, J ARID ENVIRON, V71, P299, DOI 10.1016/j.jaridenv.2007.04.007
   Valin H, 2014, AGR ECON-BLACKWELL, V45, P51, DOI 10.1111/agec.12089
   van Rensburg LD, 2012, IRRIG DRAIN, V61, P138, DOI 10.1002/ird.1682
   Wada Y, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/104003
   Waha K, 2012, GLOBAL ECOL BIOGEOGR, V21, P247, DOI 10.1111/j.1466-8238.2011.00678.x
   Wani SP, 2009, COMPR ASSESS WAT MAN, V7, P1, DOI 10.1079/9781845933890.0001
   WATANABE S, 2012, J GEOPHYS RES-ATMOS, V117, DOI DOI 10.1029/2012JD018192
   Welderufael WA, 2008, AGR WATER MANAGE, V95, P1223, DOI 10.1016/j.agwat.2008.04.007
   Wisser D, 2010, J HYDROL, V384, P264, DOI 10.1016/j.jhydrol.2009.07.032
   Xie H, 2014, AGR WATER MANAGE, V131, P183, DOI 10.1016/j.agwat.2013.08.011
   Zhu QiAng Zhu QiAng, 2006, Waterlines, V24, P4, DOI 10.3362/0262-8104.2006.017
NR 92
TC 173
Z9 190
U1 2
U2 144
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
PY 2016
VL 11
IS 2
AR 025002
DI 10.1088/1748-9326/11/2/025002
PG 14
WC Environmental Sciences; Meteorology & Atmospheric Sciences
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences
GA DF6SX
UT WOS:000371488300019
OA gold, Green Published
DA 2025-01-10
ER

PT J
AU Shrestha, B
   Babel, MS
   Maskey, S
   van Griensven, A
   Uhlenbrook, S
   Green, A
   Akkharath, I
AF Shrestha, B.
   Babel, M. S.
   Maskey, S.
   van Griensven, A.
   Uhlenbrook, S.
   Green, A.
   Akkharath, I.
TI Impact of climate change on sediment yield in the Mekong River basin: a
   case study of the Nam Ou basin, Lao PDR
SO HYDROLOGY AND EARTH SYSTEM SCIENCES
LA English
DT Article
ID HYDROLOGICAL IMPACT; WATER DISCHARGE; SOIL-EROSION; PART 1; SWAT;
   UNCERTAINTY; MODEL; FLOW; FLUX; PRECIPITATION
AB This paper evaluates the impact of climate change on sediment yield in the Nam Ou basin located in northern Laos. Future climate (temperature and precipitation) from four general circulation models (GCMs) that are found to perform well in the Mekong region and a regional circulation model (PRECIS) are downscaled using a delta change approach. The Soil and Water Assessment Tool (SWAT) is used to assess future changes in sediment flux attributable to climate change. Results indicate up to 3.0 degrees C shift in seasonal temperature and 27% (decrease) to 41% (increase) in seasonal precipitation. The largest increase in temperature is observed in the dry season while the largest change in precipitation is observed in the wet season. In general, temperature shows increasing trends but changes in precipitation are not unidirectional and vary depending on the greenhouse gas emission scenarios (GHGES), climate models, prediction period and season. The simulation results show that the changes in annual stream discharges are likely to range from a 17% decrease to 66% increase in the future, which will lead to predicted changes in annual sediment yield ranging from a 27% decrease to about 160% increase. Changes in intra-annual (monthly) discharge as well as sediment yield are even greater (-62 to 105% in discharge and -88 to 243% in sediment yield). A higher discharge and sediment flux are expected during the wet seasons, although the highest relative changes are observed during the dry months. The results indicate high uncertainties in the direction and magnitude of changes of discharge as well as sediment yields due to climate change. As the projected climate change impact on sediment varies remarkably between the different climate models, the uncertainty should be taken into account in both sediment management and climate change adaptation.
C1 [Shrestha, B.; Babel, M. S.] Asian Inst Technol, Sch Engn & Technol, Pathum Thani 12120, Thailand.
   [Maskey, S.; van Griensven, A.; Uhlenbrook, S.] UNESCO IHE Inst Water Educ, Dept Water Sci & Engn, NL-261 DA Delft, Netherlands.
   [van Griensven, A.] Vrije Univ Brussel, Dept Hydrol & Hydraul Engn, B-1050 Brussels, Belgium.
   [Uhlenbrook, S.] Delft Univ Technol, Dept Water Resources, NL-2600 GA Delft, Netherlands.
   [Green, A.; Akkharath, I.] Off Secretariat Phnom Penh OSP, Mekong River Commiss Secretariat, Khan Menachey, Phnom Penh, Cambodia.
C3 Asian Institute of Technology; IHE Delft Institute for Water Education;
   Vrije Universiteit Brussel; Delft University of Technology
RP Shrestha, B (corresponding author), Asian Inst Technol, Sch Engn & Technol, POB 4 Klong Luang, Pathum Thani 12120, Thailand.
EM bikeshs1983@gmail.com
RI Uhlenbrook, Stefan/C-7468-2009; Maskey, Shreedhar/AAD-1989-2019; van
   Griensven, Ann/M-4312-2013; Maskey, Shreedhar/H-3467-2011
OI Babel, Mukand/0000-0003-4203-0059; van Griensven,
   Ann/0000-0002-2105-6287; Maskey, Shreedhar/0000-0002-3259-5374;
   Uhlenbrook, Stefan/0000-0002-3926-2599
FU Netherlands Ministry of Development Cooperation (DGIS) through the
   UNESCO-IHE Partnership Research Fund
FX The research presented in this paper is part of the PRoACC
   (Post-doctoral Programme on Climate Change Adaptation in the Mekong
   River basin) programme funded by the Netherlands Ministry of Development
   Cooperation (DGIS) through the UNESCO-IHE Partnership Research Fund. It
   was carried out jointly with UNESCO-IHE and Asian Institute of
   Technology, Thailand. It has not been subjected to peer and/or policy
   review by DGIS or UNESCO-IHE, and, therefore, does not necessarily
   reflect the views of these institutions. The authors would like to
   extend their appreciation to the Mekong River Commission for providing
   all the necessary data required for the study.
CR Abbaspour KC, 2007, J HYDROL, V333, P413, DOI 10.1016/j.jhydrol.2006.09.014
   Abbaspour KC, 2004, VADOSE ZONE J, V3, P1340
   Abbaspour KC., 2008, SWAT CUP2 SWAT CALIB
   Adam JC, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002499
   Akhtar M, 2008, J HYDROL, V355, P148, DOI 10.1016/j.jhydrol.2008.03.015
   [Anonymous], B INT ASS HYDROLOGIC
   [Anonymous], MRC WORK PROGR
   [Anonymous], 09 MRCGTZ COOP PROGR
   [Anonymous], 1972, NAT ENG HDB
   [Anonymous], EX CONSTR PLANN PROP
   [Anonymous], 2005, Overview of the hydrology of the Mekong basin
   [Anonymous], INT S FLOOD S AS BAN
   [Anonymous], 2003, REP US
   [Anonymous], 1986, S DRAIN BAS SED DEL
   [Anonymous], 2001, DOWNSTREAM ECOLOGICA
   [Anonymous], INT BAS FLOW MAN SOC
   Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x
   ARNOLD JG, 1995, J HYDRAUL ENG-ASCE, V121, P171, DOI 10.1061/(ASCE)0733-9429(1995)121:2(171)
   ARNOLD JG, 1993, J HYDROL, V142, P47, DOI 10.1016/0022-1694(93)90004-S
   Babel MS, 2011, AGR WATER MANAGE, V101, P8, DOI 10.1016/j.agwat.2011.08.019
   Benaman J, 2005, J HYDROL ENG, V10, P363, DOI 10.1061/(ASCE)1084-0699(2005)10:5(363)
   Bogaart PW, 2003, QUATERNARY SCI REV, V22, P2077, DOI 10.1016/S0277-3791(03)00143-4
   Boorman DB, 2003, SCI TOTAL ENVIRON, V314, P411, DOI 10.1016/S0048-9697(03)00066-4
   Cai XM, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2008GL036443
   Chen J, 2011, J HYDROL, V401, P190, DOI 10.1016/j.jhydrol.2011.02.020
   Di Baldassarre G, 2011, HYDROLOG SCI J, V56, P199, DOI 10.1080/02626667.2011.557378
   Diaz-Nieto J, 2005, CLIMATIC CHANGE, V69, P245, DOI 10.1007/s10584-005-1157-6
   Eastham J., 2008, Mekong River Basin Water Resources Assessment: Impacts of Climate Change
   Elshamy M, 2013, J HYDROL ENG, V18, P582, DOI 10.1061/(ASCE)HE.1943-5584.0000656
   Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556
   Georgakakos KP, 2004, J HYDROL, V298, P222, DOI 10.1016/j.jhydrol.2004.03.037
   Green WH, 1911, J AGR SCI, V4, P1, DOI 10.1017/S0021859600001441
   Hanratty MP, 1998, J ENVIRON QUAL, V27, P1524, DOI 10.2134/jeq1998.00472425002700060032x
   HARDY RL, 1971, J GEOPHYS RES, V76, P1905, DOI 10.1029/JB076i008p01905
   HARGREAVES GL, 1985, J IRRIG DRAIN ENG, V111, P113, DOI 10.1061/(ASCE)0733-9437(1985)111:2(113)
   Hay LE, 2000, J AM WATER RESOUR AS, V36, P387, DOI 10.1111/j.1752-1688.2000.tb04276.x
   Hoanh C.T., 2010, MRC Technical Paper No. 29
   Hu YR, 2013, THEOR APPL CLIMATOL, V112, P447, DOI 10.1007/s00704-012-0745-4
   Huth R, 2001, J CLIMATE, V14, P4047, DOI 10.1175/1520-0442(2001)014<4047:TSOOGS>2.0.CO;2
   Intergovernmental Panel on Climate Change (IPCC), 2007, Climate Change AR4 Synthesis Report
   Ishidaira H, 2008, HYDROL PROCESS, V22, P1395, DOI 10.1002/hyp.6948
   JOHNSON CW, 1985, T ASAE, V28, P1889, DOI 10.13031/2013.32537
   Johnston R, 2012, WATER RESOUR MANAG, V26, P429, DOI 10.1007/s11269-011-9925-8
   Keskinen M, 2008, AMBIO, V37, P193, DOI 10.1579/0044-7447(2008)37[193:WRDAIA]2.0.CO;2
   Kiem AS, 2008, HYDROL PROCESS, V22, P1382, DOI 10.1002/hyp.6947
   Kingston DG, 2011, HYDROL EARTH SYST SC, V15, P1459, DOI 10.5194/hess-15-1459-2011
   Kummu M., 2008, Modern Myths of The Mekong: A critical review of water and development concepts, principles and policies, Water
   Kummu M, 2007, GEOMORPHOLOGY, V85, P275, DOI 10.1016/j.geomorph.2006.03.024
   Lauri H, 2012, HYDROL EARTH SYST SC, V16, P4603, DOI 10.5194/hess-16-4603-2012
   Li Y, 2011, HYDROLOG SCI J, V56, P68, DOI 10.1080/02626667.2010.538396
   Lu XX, 2005, RIVER RES APPL, V21, P229, DOI 10.1002/rra.843
   Masih I, 2011, AGR WATER MANAGE, V100, P36, DOI 10.1016/j.agwat.2011.08.013
   Masih I, 2011, J AM WATER RESOUR AS, V47, P179, DOI 10.1111/j.1752-1688.2010.00502.x
   Maurer EP, 2009, HYDROL EARTH SYST SC, V13, P183, DOI 10.5194/hess-13-183-2009
   Maurer EP, 2007, CLIMATIC CHANGE, V82, P309, DOI 10.1007/s10584-006-9180-9
   Menzel L, 2002, J HYDROL, V267, P53, DOI 10.1016/S0022-1694(02)00139-7
   Michael A, 2005, CATENA, V61, P155, DOI 10.1016/j.catena.2005.03.002
   Minville M, 2008, J HYDROL, V358, P70, DOI 10.1016/j.jhydrol.2008.05.033
   Monteith J L, 1965, Symp Soc Exp Biol, V19, P205
   Naik PK, 2011, J HYDROL, V404, P259, DOI 10.1016/j.jhydrol.2011.04.035
   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.L., 2005, Soil water assessment tool theoretical document, version 2005
   Nijssen B, 2001, CLIMATIC CHANGE, V50, P143, DOI 10.1023/A:1010616428763
   O'Neal MR, 2005, CATENA, V61, P165, DOI 10.1016/j.catena.2005.03.003
   Palutikof JP, 1997, J CLIMATE, V10, P2497, DOI 10.1175/1520-0442(1997)010<2497:TSODTT>2.0.CO;2
   Phan DB, 2011, WATER RESOUR+, V38, P827, DOI 10.1134/S0097807811060133
   Phomcha P, 2011, SCIENCEASIA, V37, P43, DOI 10.2306/scienceasia1513-1874.2011.37.043
   Potter C, 2009, J SOIL WATER CONSERV, V64, P383, DOI 10.2489/jswc.64.6.383
   PRIESTLEY CHB, 1972, MON WEATHER REV, V100, P81, DOI 10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Prudhomme C, 2003, J HYDROL, V277, P1, DOI 10.1016/S0022-1694(03)00065-9
   Prudhomme C, 2009, CLIMATIC CHANGE, V93, P177, DOI 10.1007/s10584-008-9464-3
   Pruski FF, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000493
   Rossi C, 2009, HIST MECH MACH SCI, V8, P1
   Santhi C, 2001, J AM WATER RESOUR AS, V37, P1169, DOI 10.1111/j.1752-1688.2001.tb03630.x
   Schuol J, 2008, J HYDROL, V352, P30, DOI 10.1016/j.jhydrol.2007.12.025
   Semenov MA, 1998, CLIMATE RES, V10, P95, DOI 10.3354/cr010095
   Setegn SG, 2010, J AM WATER RESOUR AS, V46, P514, DOI 10.1111/j.1752-1688.2010.00431.x
   Syvitski JPM, 2005, J COASTAL RES, V21, P580, DOI 10.2112/04-702A.1
   Uhlenbrook S, 1999, HYDROLOG SCI J, V44, P779, DOI 10.1080/02626669909492273
   Van Liew MW, 2007, J HYDROL ENG, V12, P173, DOI 10.1061/(ASCE)1084-0699(2007)12:2(173)
   Vrugt JA, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003059
   Walling DE, 2008, AMBIO, V37, P150, DOI 10.1579/0044-7447(2008)37[150:TCSLOT]2.0.CO;2
   Wang JJ, 2011, RIVER RES APPL, V27, P33, DOI 10.1002/rra.1337
   Williams J. R., 1975, PRESENT PROSPECTIVE, P244
   Williams JR., 1969, Transactions of the ASAE, V12, P100, DOI [DOI 10.13031/2013.38772, 10.13031/2013.38772]
   Xu JX, 2003, ENVIRON MANAGE, V31, P328, DOI 10.1007/s00267-002-2828-y
   Yang J, 2008, J HYDROL, V358, P1, DOI 10.1016/j.jhydrol.2008.05.012
   Zhang X, 2007, T ASABE, V50, P901, DOI 10.13031/2013.23154
   Zhang XC, 2005, CATENA, V61, P185, DOI 10.1016/j.catena.2005.03.009
   Zhu YM, 2008, GLOBAL PLANET CHANGE, V60, P429, DOI 10.1016/j.gloplacha.2007.05.001
NR 90
TC 121
Z9 128
U1 3
U2 91
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1027-5606
EI 1607-7938
J9 HYDROL EARTH SYST SC
JI Hydrol. Earth Syst. Sci.
PY 2013
VL 17
IS 1
BP 1
EP 20
DI 10.5194/hess-17-1-2013
PG 20
WC Geosciences, Multidisciplinary; Water Resources
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Geology; Water Resources
GA 087ZD
UT WOS:000314802400001
OA Green Submitted, gold, Green Published
DA 2025-01-10
ER

PT J
AU MacLachlan, IR
   Wang, TL
   Hamann, A
   Smets, P
   Aitken, SN
AF MacLachlan, Ian R.
   Wang, Tongli
   Hamann, Andreas
   Smets, Pia
   Aitken, Sally N.
TI Selective breeding of lodgepole pine increases growth and maintains
   climatic adaptation
SO FOREST ECOLOGY AND MANAGEMENT
LA English
DT Article
DE Climate adaptation; Correlated response to selection; Phenology; Cold
   hardiness; Assisted gene flow; Pinus contorta
ID DOUGLAS-FIR; SHOOT ELONGATION; FROST HARDINESS; FOREST HEALTH; SEED
   TRANSFER; CONTORTA; POPULATIONS; PROVENANCES; TEMPERATURE; ENVIRONMENT
AB Climate change is disrupting historical patterns of adaptation in temperate and boreal tree species, causing local populations to become maladapted. Tree improvement programs typically utilise local base populations and manage adaptation using geographically defined breeding zones. As climates shift, breeding zones are no longer optimal seed deployment zones because base populations are becoming dissociated from their historical climatic optima. In response, climate-based seed transfer (CBST) policies incorporating assisted gene flow (AGF) are being adopted to pre-emptively match reforestation seedlots with future climates, but their implementation requires accurate knowledge of genetic variation in climatically adaptive traits. Here we use lodgepole pine as a case study to evaluate the effects of selective conifer breeding on adaptive traits and their climatic associations to inform CBST and AGF prescriptions.
   Our approach compared 105 natural stand and 20 selectively bred lodgepole pine seedlots from Alberta and British Columbia grown in a common garden of 2200 seedlings. The effects of selection on phenotypic variation and climatic associations among breeding zones were assessed for growth, phenology and cold hardiness. We found substantial differences between natural and selected seedlings in growth traits, but timing of growth initiation was unaffected, growth cessation was delayed slightly (average 4 days, range 0.7 days to 10 days), and cold injury was slightly greater (average 2.5%, range -7% to 11%) in selected seedlings. Phenotypic differentiation among breeding zones and climatic dines were stronger for all traits in selected seedlings. Height gains resulted from both increased growth rate and delayed growth cessation, but negative indirect effects of selection on cold hardiness were weak.
   Selection, breeding and progeny testing combined have produced taller lodgepole pine seedlings that are not adaptively compromised relative to their natural seedling counterparts. Selective breeding produces genotypes that achieve increased height growth and maintain climate adaptation, rather than reconstituting genotypes similar to populations adapted to warmer climates. While CBST is needed to optimise seedlot deployment in new climates, an absence of systematic indirect selection effects on adaptive traits suggests natural and selected seedlots do not require separate AGF prescriptions. (C) 2017 Elsevier B.V. All rights reserved.
C1 [MacLachlan, Ian R.; Wang, Tongli; Smets, Pia; Aitken, Sally N.] Univ British Columbia, Dept Forest & Conservat Sci, 3041-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
   [Hamann, Andreas] Univ Alberta, Dept Renewable Resources, 733 Gen Serv Bldg, Edmonton, AB T6G 2H1, Canada.
C3 University of British Columbia; University of Alberta
RP Aitken, SN (corresponding author), Univ British Columbia, Dept Forest & Conservat Sci, 3041-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.
EM sally.aitken@ubc.ca
RI Wang, Tongli/AAC-8644-2020
OI Wang, Tongli/0000-0002-9967-6769
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 Polytechnical University; University of British
   Columbia
FX This research was part of the AdapTree project co-led by S.N.A. and A.H.
   and 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 Polytechnical University, and the
   University of British Columbia. 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 Joanne Tuytel, at all stages of experimental establishment
   and data collection. 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), Greg O'Neill (BCMFLNRO),
   and two anonymous reviewers for 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
   Alberto FJ, 2013, GLOBAL CHANGE BIOL, V19, P1645, DOI 10.1111/gcb.12181
   [Anonymous], 06 BRIT COL MIN FOR
   [Anonymous], ANN REP 2014 2015
   [Anonymous], BUSINESS PLAN 2015 2
   [Anonymous], CONIFER COLD HARDINE
   [Anonymous], CONIFER COLD HARDINE
   [Anonymous], SUST FOR MAN CURR FA
   [Anonymous], RESPONSE INTERIOR SP
   [Anonymous], CHIEF FOR STAND SEED
   [Anonymous], USITC PUBL
   [Anonymous], 7 FOR GEN COUNC BRIT
   [Anonymous], ALB FOR GEN RES COUN
   [Anonymous], ASREMI ASREMI FITS L
   [Anonymous], ENV REV
   Bansal S, 2015, GLOBAL CHANGE BIOL, V21, P3814, DOI 10.1111/gcb.12958
   Bräutigam K, 2013, ECOL EVOL, V3, P399, DOI 10.1002/ece3.461
   British Columbia Ministry of Environment, 2015, IND CLIM CHANG BRIT
   CAMPBELL RK, 1986, SILVAE GENET, V35, P85
   Castro J, 1999, NEW PHYTOL, V144, P153, DOI 10.1046/j.1469-8137.1999.00495.x
   Chuine I, 2006, CAN J FOREST RES, V36, P1059, DOI 10.1139/X06-005
   Chuine I, 2001, CAN J FOREST RES, V31, P1444, DOI 10.1139/cjfr-31-8-1444
   Cooke JEK, 2012, PLANT CELL ENVIRON, V35, P1707, DOI 10.1111/j.1365-3040.2012.02552.x
   DORMLING I, 1992, CAN J FOREST RES, V22, P88, DOI 10.1139/x92-013
   FLINT HL, 1967, CAN J PLANT SCI, V47, P229, DOI 10.4141/cjps67-043
   Funda T, 2014, CAN J FOREST RES, V44, P1122, DOI 10.1139/cjfr-2014-0145
   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, 2013, CLIMATIC CHANGE, V117, P289, DOI 10.1007/s10584-012-0548-8
   Gray LK, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022977
   Hannerz M, 1999, CAN J FOREST RES, V29, P509, DOI 10.1139/cjfr-29-4-509
   Hannerz M, 2005, TREE PHYSIOL, V25, P1181, DOI 10.1093/treephys/25.9.1181
   Hotte N, 2016, GLOBAL ENVIRON CHANG, V36, P163, DOI 10.1016/j.gloenvcha.2016.01.001
   Howe GT, 2003, CAN J BOT, V81, P1247, DOI [10.1139/b03-141, 10.1139/B03-141]
   Johnsen O, 2005, PLANT CELL ENVIRON, V28, P1090, DOI 10.1111/j.1365-3040.2005.01356.x
   Liepe KJ, 2016, EVOL APPL, V9, P409, DOI 10.1111/eva.12345
   Millar CI, 2015, SCIENCE, V349, P823, DOI 10.1126/science.aaa9933
   Morgenstern E.K., 1996, Geographic variation in forest trees: genetic basis and application of knowledge in silviculture
   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
   OREILLY C, 1989, CAN J FOREST RES, V19, P599, DOI 10.1139/x89-094
   Petterle A, 2013, CURR OPIN PLANT BIOL, V16, P301, DOI 10.1016/j.pbi.2013.02.006
   R Core Team, 2016, R: A Language and Environment for Statistical Computing
   Rehfeldt GE, 1999, ECOL MONOGR, V69, P375, DOI 10.1890/0012-9615(1999)069[0375:GRTCIP]2.0.CO;2
   REHFELDT GE, 1992, CAN J FOREST RES, V22, P5, DOI 10.1139/x92-002
   REHFELDT GE, 1989, SILVAE GENET, V38, P133
   REHFELDT GE, 1988, SILVAE GENET, V37, P131
   REHFELDT GE, 1992, FOREST SCI, V38, P661
   REHFELDT GE, 1983, CAN J FOREST RES, V13, P405, DOI 10.1139/x83-061
   REHFELDT GE, 1981, ANN BOT-LONDON, V48, P371, DOI 10.1093/oxfordjournals.aob.a086135
   Savolainen O, 2007, ANNU REV ECOL EVOL S, V38, P595, DOI 10.1146/annurev.ecolsys.38.091206.095646
   Schmidtling RC, 2004, FORESTRY, V77, P287, DOI 10.1093/forestry/77.4.287
   Scotti I, 2016, ANN FOREST SCI, V73, P69, DOI 10.1007/s13595-015-0471-z
   Skroppa T, 2007, CAN J FOREST RES, V37, P515, DOI 10.1139/X06-253
   St Clair JB, 2007, GLOBAL CHANGE BIOL, V13, P1441, DOI 10.1111/j.1365-2486.2007.01385.x
   Stoehr MU, 2002, CAN J FOREST RES, V32, P469, DOI 10.1139/X01-222
   Wang T, 2006, GLOBAL CHANGE BIOL, V12, P2404, DOI 10.1111/j.1365-2486.2006.01271.x
   Wang T, 2006, INT J CLIMATOL, V26, P383, DOI 10.1002/joc.1247
   Wang TH, 2016, PLOS ONE, V11, DOI [10.1371/journal.pone.0163147, 10.1371/journal.pone.0159028]
   Westin J, 2000, SCAND J FOREST RES, V15, P489, DOI 10.1080/028275800750173393
NR 61
TC 24
Z9 26
U1 1
U2 36
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 MAY 1
PY 2017
VL 391
BP 404
EP 416
DI 10.1016/j.foreco.2017.02.008
PG 13
WC Forestry
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Forestry
GA ES4NH
UT WOS:000399511500040
DA 2025-01-10
ER

PT J
AU Cunningham, R
   Cvitanovic, C
   Measham, T
   Jacobs, B
   Dowd, AM
   Harman, B
AF Cunningham, Rebecca
   Cvitanovic, Christopher
   Measham, Thomas
   Jacobs, Brent
   Dowd, Anne-Maree
   Harman, Ben
TI Engaging communities in climate adaptation: the potential of social
   networks
SO CLIMATE POLICY
LA English
DT Article
DE adaptation policy; climate change policies; community participation;
   knowledge exchange; knowledge networks; social network analysis
ID KNOWLEDGE; PERSPECTIVES; GOVERNANCE; ENGAGEMENT; MITIGATION; MANAGEMENT;
   EMERGENCE; FRAMEWORK; PATTERNS; SCALES
AB There has been a growing recognition regarding the use of social networks to engage communities in government actions. However, despite increasing awareness of social networks, there is very limited evidence for their application in relation to climate policy. This study fills this gap by assessing the potential of social networks for engaging local communities in climate adaptation policy, drawing on a case study of the Shoalhaven region in Australia. Participants from key representative groups were recruited using a purposive snowball sampling technique (N=24). By mapping knowledge acquisition and diffusion networks in relation to climate adaption at the local scale, this study identified key nodes within the networks. Findings demonstrate that although climate adaptation information was acquired from a diverse range of sources, the sharing knowledge networks were far more dispersed. Furthermore, although 165 knowledge sources were identified, three nodes had coverage cross the entire network, and as such acted as boundary spanners within the sharing network. This research demonstrates the utility of social network analysis to reveal the underlying knowledge networks and structures that influence community engagement pathways and in doing so outlines key implications in relation to engaging local communities in climate policy and action.Policy relevanceThe rapid development of adaptation as a mainstream strategy for managing the risks of climate change has resulted in the emergence of a broad range of adaptation policies and management strategies globally. However, the success of these initiatives is largely dependent on their acceptance and uptake by local communities, which to date remains a significant challenge. Accordingly, policy makers require novel approaches to overcome barriers to community engagement so as to enhance the likely success of community engagement pathways. This article demonstrates the value of using social network analysis to reveal the underlying knowledge network structures. This approach makes it possible to identify key individuals within a community who can disseminate adaptation information quickly across broad geographic ranges. By utilizing this approach, policy makers globally will be able to increase the extent to which adaption initiatives are accepted and adhered to by local communities, thus increasing their success.
C1 [Cunningham, Rebecca; Dowd, Anne-Maree] CSIRO, Land & Water, 1 Technology Court, Pullenvale, Qld 4069, Australia.
   [Cunningham, Rebecca] Univ Manchester, Tyndall Manchester Climate Change Res, Pariser Bldg, Manchester M1 4PL, Lancs, England.
   [Cvitanovic, Christopher] CSIRO, Climate Adaptat Flagship, GPO Box 1700, Canberra, ACT 2601, Australia.
   [Cvitanovic, Christopher] Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2600, Australia.
   [Measham, Thomas] CSIRO, Climate Adaptat Flagship, GPO Box 1600, Canberra, ACT 2601, Australia.
   [Jacobs, Brent] Univ Technol Sydney, Inst Sustainable Futures, Sydney, NSW 2007, Australia.
   [Jacobs, Brent] Univ Technol Sydney, Bldg 10 235 Jones St, Sydney, NSW 2007, Australia.
   [Harman, Ben] CSIRO, Land & Water, GPO Box 2583, Brisbane, Qld 4001, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   University of Manchester; Commonwealth Scientific & Industrial Research
   Organisation (CSIRO); Australian National University; Commonwealth
   Scientific & Industrial Research Organisation (CSIRO); University of
   Technology Sydney; University of Technology Sydney; Commonwealth
   Scientific & Industrial Research Organisation (CSIRO)
RP Cunningham, R (corresponding author), CSIRO, Land & Water, 1 Technology Court, Pullenvale, Qld 4069, Australia.; Cunningham, R (corresponding author), Univ Manchester, Tyndall Manchester Climate Change Res, Pariser Bldg, Manchester M1 4PL, Lancs, England.
EM rebecca.cunningham@manchester.ac.uk
RI Jacobs, Brent/K-2523-2012; Cunningham, Rebecca/AAQ-7340-2020; Harman,
   Ben/C-7171-2011; Measham, Thomas/A-5210-2010
OI Measham, Thomas/0000-0003-4549-5361; Cunningham,
   Rebecca/0000-0001-8066-9019; Cvitanovic, Christopher/0000-0002-2565-3396
FU NSW Office of Environment and Heritage
FX We thank Steve Crimp, Mark Howden, Craig James, Natasha Kuruppu and
   Christopher Lee for helpful discussions in designing this project. We
   also thank Justine Lacey for constructive comments that greatly improved
   this manuscript. We are grateful for funding provided by the NSW Office
   of Environment and Heritage.
CR Acar Adam, 2011, International Journal of Web Based Communities, V7, P392, DOI 10.1504/IJWBC.2011.041206
   Adger WN, 2005, GLOBAL ENVIRON CHANG, V15, P77, DOI [10.1016/j.gloenvcha.2005.03.001, 10.1016/j.gloenvcha.2004.12.005]
   Adler PS, 2001, ORGAN SCI, V12, P215, DOI 10.1287/orsc.12.2.215.10117
   [Anonymous], 2002, Ucinet 6 for Windows
   [Anonymous], 2011, Social networks and natural resource management: Uncovering the social fabric of environmental governance
   [Anonymous], 1992, Structural holes: The social structure of competition
   [Anonymous], 2014, Fourth Annual Survey of Australian Attitudes to Climate Change: Interim Report, DOI [10.4225/08/5850382668774, DOI 10.4225/08/5850382668774]
   [Anonymous], PREHOSPITAL DISASTER
   Ashworth P, 2012, INT J GREENH GAS CON, V9, P402, DOI 10.1016/j.ijggc.2012.04.012
   Barabási AL, 1999, SCIENCE, V286, P509, DOI 10.1126/science.286.5439.509
   Bassett TJ, 2013, GEOFORUM, V48, P42, DOI 10.1016/j.geoforum.2013.04.010
   Bodin O, 2006, ECOL SOC, V11
   Bodin Ö, 2009, GLOBAL ENVIRON CHANG, V19, P366, DOI 10.1016/j.gloenvcha.2009.05.002
   Borgatti S. P., 2006, Computational & Mathematical Organization Theory, V12, P21, DOI 10.1007/s10588-006-7084-x
   Borgatti S. P., 2002, Netdraw network visualisation
   Borgatti SP, 2009, SCIENCE, V323, P892, DOI 10.1126/science.1165821
   Bret C, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0083015
   Bryman A., 2016, Social Research Methods, V5th
   Burch S, 2014, CLIM POLICY, V14, P467, DOI 10.1080/14693062.2014.876342
   Chomsky N., 2012, OCCUPY
   Cohen PJ, 2012, CONSERV LETT, V5, P376, DOI 10.1111/j.1755-263X.2012.00255.x
   Corfee-Morlot J, 2011, CLIMATIC CHANGE, V104, P169, DOI 10.1007/s10584-010-9980-9
   Crona B, 2006, ECOL SOC, V11
   Cvitanovic C, 2013, J ENVIRON MANAGE, V114, P84, DOI 10.1016/j.jenvman.2012.10.051
   Cvitanovic C, 2014, ECOL SOC, V19, DOI 10.5751/ES-07019-190433
   Dilling L, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P1, DOI 10.1017/CBO9780511535871.003
   Dowd AM, 2014, NAT CLIM CHANGE, V4, P558, DOI [10.1038/NCLIMATE2275, 10.1038/nclimate2275]
   Ebi KL, 2008, AM J PREV MED, V35, P501, DOI 10.1016/j.amepre.2008.08.018
   Endter-Wada J, 1998, ECOL APPL, V8, P891, DOI 10.1890/1051-0761(1998)008[0891:AFFUSS]2.0.CO;2
   Hamin E.M., 2012, By Stealth or by Spotlight: Matching Barriers to Adaptation Approaches
   Hollstein B., 2011, SAGE HDB SOCIAL NETW
   Joyce LA, 2013, RANGELAND ECOL MANAG, V66, P512, DOI 10.2111/REM-D-12-00142.1
   Kilduff M., 2003, Social Networks and Organizations, DOI DOI 10.4135/9781849209915
   Kogut B, 2000, STRATEGIC MANAGE J, V21, P405, DOI 10.1002/(SICI)1097-0266(200003)21:3<405::AID-SMJ103>3.0.CO;2-5
   Leviston Z., 2012, Ecopsychology, V4, P277, DOI DOI 10.1089/ECO.2012.0051
   Lorenzoni I, 2006, CLIMATIC CHANGE, V77, P73, DOI 10.1007/s10584-006-9072-z
   Marsden P.V., 2005, Models and Methods in Social Network Analysis, P8, DOI DOI 10.1017/CB0
   MARSDEN PV, 1990, ANNU REV SOCIOL, V16, P435, DOI 10.1146/annurev.so.16.080190.002251
   Measham TG, 2011, MITIG ADAPT STRAT GL, V16, P889, DOI 10.1007/s11027-011-9301-2
   Mefalopulos P., 2008, Development communication sourcebook: Broadening the boundaries of communication
   Mills M, 2014, BIOL CONSERV, V169, P6, DOI 10.1016/j.biocon.2013.10.015
   Moser SC, 2004, ENVIRONMENT, V46, P32, DOI 10.1080/00139150409605820
   Moser SC, 2007, CREATING A CLIMATE FOR CHANGE: COMMUNICATING CLIMATE CHANGE AND FACILITATING SOCIAL CHANGE, P491, DOI 10.1017/CBO9780511535871.035
   Noy C, 2008, INT J SOC RES METHOD, V11, P327, DOI 10.1080/13645570701401305
   O'Neill SJ, 2009, GLOBAL ENVIRON CHANG, V19, P402, DOI 10.1016/j.gloenvcha.2009.07.004
   Oh HS, 2004, ACAD MANAGE J, V47, P860, DOI 10.5465/20159627
   OToole LJ, 1997, PUBLIC ADMIN REV, V57, P45, DOI 10.2307/976691
   Pfeffer J., 2012, ADV DESIGN CROSS C 2, V13, P273
   Prell C, 2008, SYST PRACT ACT RES, V21, P443, DOI 10.1007/s11213-008-9105-9
   Schroeder A, 2013, J TRAVEL TOUR MARK, V30, P126, DOI 10.1080/10548408.2013.751271
   Schweizer S, 2013, ENVIRON COMMUN, V7, P42, DOI 10.1080/17524032.2012.753634
   Sherman MH, 2014, CLIM POLICY, V14, P417, DOI 10.1080/14693062.2014.859501
   Shoalhaven City Council, 2010, CLIM CHANG RISK ASS
   Singh J, 2005, MANAGE SCI, V51, P756, DOI 10.1287/mnsc.1040.0349
   Solomon S, 2009, P NATL ACAD SCI USA, V106, P1704, DOI 10.1073/pnas.0812721106
   Suarez P, 2014, COMMUNITY-BASED ADAPTATION TO CLIMATE CHANGE: SCALING IT UP, P136
   Sutton SG, 2011, GLOBAL ENVIRON CHANG, V21, P894, DOI 10.1016/j.gloenvcha.2011.05.006
   Turner RA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06456-190238
   Wellstead A. M., 2011, CLIM POLICY, V7, P29, DOI [10.1080/14693062.2007.9685636, DOI 10.1080/14693062.2007.9685636]
   Westerhoff L, 2011, CLIM POLICY, V11, P1071, DOI 10.1080/14693062.2011.579258
   Williams P, 2002, PUBLIC ADMIN, V80, P103, DOI 10.1111/1467-9299.00296
   Williams P., 2010, ESRC RES SEMINAR SER
   Yun SJ, 2014, CLIM POLICY, V14, P283, DOI 10.1080/14693062.2013.831240
   Zhu XW, 2007, GENE DEV, V21, P1010, DOI 10.1101/gad.1528707
NR 64
TC 36
Z9 40
U1 10
U2 58
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
PY 2016
VL 16
IS 7
BP 894
EP 908
DI 10.1080/14693062.2015.1052955
PG 15
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA DU6OG
UT WOS:000382333900005
DA 2025-01-10
ER

PT J
AU Jakku, E
   Fleming, A
   Fielke, S
   Snow, S
   Malakar, Y
   Cornish, G
   Hay, R
   Williams, L
AF Jakku, Emma
   Fleming, Aysha
   Fielke, Simon
   Snow, Stephen
   Malakar, Yuwan
   Cornish, Gillian
   Hay, Rachel
   Williams, Liana
TI Advisors as key partners for achieving adoption at scale: embedding "My
   Climate View" into agricultural advisory networks
SO FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
LA English
DT Article
DE climate services; climate projections; climate adaptation; Australian
   agriculture; agricultural innovation; behaviour change
ID CO-INNOVATION; AUSTRALIAN FARMERS; KNOWLEDGE EXCHANGE; CHANGE
   ADAPTATION; MANAGEMENT; TRUST; INTERMEDIARIES; INFORMATION; SYSTEMS;
   INSIGHTS
AB Introduction This paper examines the role of agricultural advisors as key partners for scaling adoption of long-term climate information. Agri-food sectors across the world face significant challenges in responding to climate change, which intersect with broader pressures driving transitions to more climate resilient and sustainable agri-food systems. Making better climate information available to farmers is a key part of responding to these challenges, since relevant and usable climate information can help farmers to adapt to future climate conditions. The development of climate services, which seek to provide climate information to assist with decision making, has therefore increased significantly over the last decade. The Climate Services for Agriculture (CSA) program provides long-term climate projections to help the Australian agriculture sector prepare for and adapt to future climate conditions. 'My Climate View' is an online tool produced by CSA, which provides localised and contextualised, commodity-specific climate information, through historic weather data and multi-decadal projections of future climate, aimed at Australian famers and farm advisors. Agricultural advisors have a critical yet often underutilised role as climate information intermediaries, through assisting farmers translate climate information into action.Methods This paper uses CSA as a case study to examine farmer-advisor interactions as a key adoption pathway for My Climate View. We interviewed 52 farmers and 24 advisors across Australia to examine the role of advisors as key partners in helping farmers to understand climate information and explore on-farm climate adaptation options.Results and discussion Interactions between farmers and their trusted advisors are an essential part of the enabling environment required to ensure that this long-term climate information can be used at the farm scale to inform longer-term decisions about climate adaptation. We use the concept of an interaction space to investigate farmer-advisor interactions in the adoption and sustained use of My Climate View. We find that although My Climate View is not a transformational technology on its own, its ability to enable farmers and advisors to explore and discuss future climate conditions and consider climate adaptation options has the potential to support transformational changes on-farm that are needed to meet the sustainability transition pressures that climate change presents.
C1 [Jakku, Emma; Fielke, Simon; Snow, Stephen; Malakar, Yuwan; Cornish, Gillian] Commonwealth Sci Ind Res Org CSIRO, Brisbane, Qld, Australia.
   [Fleming, Aysha] Commonwealth Sci Ind Res Org CSIRO, Hobart, Tas, Australia.
   [Hay, Rachel] James Cook Univ, Coll Business Law & Governance, Townsville, Qld, Australia.
   [Williams, Liana] Univ Tasmania, Tasmanian Inst Agr TIA, Launceston, Tas, Australia.
C3 Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   Commonwealth Scientific & Industrial Research Organisation (CSIRO);
   James Cook University; University of Tasmania
RP Jakku, E (corresponding author), Commonwealth Sci Ind Res Org CSIRO, Brisbane, Qld, Australia.
EM emma.jakku@csiro.au
RI Hay, Rachel/F-7338-2019; Malakar, Yuwan/H-1442-2019
FU Australian Government's Future Drought Fund; Australian Government
   Department of Agriculture Fisheries and Forestry (DAFF); Commonwealth
   Scientific Industrial Research Organisation (CSIRO)
FX We gratefully acknowledge the input provided by the CSA team and give
   particular thanks to the farmers and advisors who gave generously their
   time to share their experiences through interviews. We are also grateful
   to Sarah Clarry and Stephanie Dickson for helping us with interview
   participant recruitment. We acknowledge funding from the Australian
   Government's Future Drought Fund and the Valuing Sustainability Future
   Science Platform (VS FSP) at the Commonwealth Scientific Industrial
   Research Organisation (CSIRO).
CR Andrieu N, 2019, FRONT SUSTAIN FOOD S, V3, DOI 10.3389/fsufs.2019.00037
   Australian Government, 2024, Drought resilience research and adoption program
   Australian Government, 2024, Drought resilience adoption and innovation hubs
   Australian Government, 2024, Farm business resilience program
   Ayre M, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.05.001
   Bäumle P, 2023, TECHNOL SOC, V73, DOI 10.1016/j.techsoc.2023.102252
   Bechtet N, 2023, J INNOV ECON MANAG, P73, DOI 10.3917/jie.042.0073
   Birner R, 2009, J AGRIC EDUC EXT, V15, P341, DOI 10.1080/13892240903309595
   Blomqvist K., 1997, SCAND J MANAG, V13, P271, DOI [10.1016/S0956-5221, DOI 10.1016/S0956-5221, 10.1016/S0956-5221(97)84644-1, DOI 10.1016/S0956-5221(97)84644-1]
   Boari C, 2014, RES POLICY, V43, P683, DOI 10.1016/j.respol.2014.01.007
   Burt RS, 2007, ACAD MANAGE J, V50, P119, DOI 10.5465/AMJ.2007.24162082
   Caloffi A, 2023, TECHNOL FORECAST SOC, V189, DOI 10.1016/j.techfore.2023.122351
   Carolan MS, 2006, AGR HUM VALUES, V23, P325, DOI 10.1007/s10460-006-9006-4
   Cook BR, 2021, WORLD DEV, V140, DOI 10.1016/j.worlddev.2020.105337
   Cradock-Henry NA, 2020, ENVIRON SCI POLICY, V107, P66, DOI 10.1016/j.envsci.2020.02.020
   Crupi A, 2020, J KNOWL MANAG, V24, P1263, DOI 10.1108/JKM-11-2019-0623
   Curry N, 2010, SOCIOL RURALIS, V50, P121, DOI 10.1111/j.1467-9523.2009.00503.x
   Dainelli R, 2022, CLIM SERV, V28, DOI 10.1016/j.cliser.2022.100324
   Darbyshire RO, 2022, INT J BIOMETEOROL, V66, P1045, DOI 10.1007/s00484-022-02265-7
   Dolinska A, 2023, AGR SYST, V212, DOI 10.1016/j.agsy.2023.103775
   Duncan R, 2020, PALGR COMMUN, V6, DOI 10.1057/s41599-020-0448-x
   Eastwood C, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.04.004
   Eastwood CR, 2020, FRONT SUSTAIN FOOD S, V4, DOI 10.3389/fsufs.2020.00024
   Feser D, 2023, REV MANAG SCI, V17, P1827, DOI 10.1007/s11846-022-00593-x
   Fielke S, 2020, AGR SYST, V180, DOI 10.1016/j.agsy.2019.102763
   Fielke SJ, 2018, J AGRIC EDUC EXT, V24, P9, DOI [10.1080/1389224x.2017.1394885, 10.1080/1389224X.2017.1394885]
   Fielke SJ, 2018, SUSTAIN SCI, V13, P255, DOI 10.1007/s11625-017-0432-6
   Findlater K, 2021, NAT CLIM CHANGE, V11, P731, DOI 10.1038/s41558-021-01125-3
   Fleming A, 2023, CLIM SERV, V30, DOI 10.1016/j.cliser.2023.100364
   George DA, 2019, AUSTRALAS J ENV MAN, V26, P6, DOI 10.1080/14486563.2018.1506948
   Giddens A., 2013, CONSEQUENCES MODERNI
   Glover D, 2019, OUTLOOK AGR, V48, P169, DOI 10.1177/0030727019864978
   Haigh T, 2015, WEATHER CLIM SOC, V7, P83, DOI 10.1175/WCAS-D-14-00015.1
   Haines S, 2019, CLIMATIC CHANGE, V157, P43, DOI 10.1007/s10584-018-2357-1
   Hakkarainen L, 2016, TECHNOL INNOV MANAG, P45
   Hall A, 2003, AGR SYST, V78, P213, DOI 10.1016/S0308-521X(03)00127-6
   Hammersley C, 2023, J AGRIC EDUC EXT, V29, P511, DOI 10.1080/1389224X.2022.2082498
   Hermans TDG, 2023, J RURAL STUD, V100, DOI 10.1016/j.jrurstud.2023.103012
   Hermans TDG, 2021, LAND DEGRAD DEV, V32, P1809, DOI 10.1002/ldr.3833
   Hernberg H, 2024, ENVIRON INNOV SOC TR, V51, DOI 10.1016/j.eist.2024.100849
   Hilkens A, 2018, J RURAL STUD, V63, P83, DOI 10.1016/j.jrurstud.2018.09.002
   Hinkson M, 2022, J RURAL STUD, V95, P50, DOI 10.1016/j.jrurstud.2022.07.027
   Howden SM, 2007, P NATL ACAD SCI USA, V104, P19691, DOI 10.1073/pnas.0701890104
   Howells J, 2006, RES POLICY, V35, P715, DOI 10.1016/j.respol.2006.03.005
   Ingram J, 2008, AGR HUM VALUES, V25, P405, DOI 10.1007/s10460-008-9134-0
   Jacobs KL, 2020, CLIM SERV, V20, DOI 10.1016/j.cliser.2020.100199
   Juntti M, 2002, SOCIOL RURALIS, V42, P215, DOI 10.1111/1467-9523.00212
   Kanda W, 2019, J CLEAN PROD, V227, P1136, DOI 10.1016/j.jclepro.2019.04.230
   Kivimaa P, 2019, ENVIRON INNOV SOC TR, V31, P110, DOI 10.1016/j.eist.2019.01.001
   Klerkx L, 2017, J AGRIC EDUC EXT, V23, P213, DOI 10.1080/1389224X.2017.1320640
   Klerkx L, 2017, LAND USE POLICY, V61, P276, DOI 10.1016/j.landusepol.2016.11.027
   Klerkx L, 2013, FOOD POLICY, V40, P74, DOI 10.1016/j.foodpol.2013.02.004
   Klerkx L, 2013, LAND USE POLICY, V30, P13, DOI 10.1016/j.landusepol.2012.02.003
   Klerkx L, 2012, IDS BULL-I DEV STUD, V43, P53, DOI 10.1111/j.1759-5436.2012.00363.x
   Klerkx L, 2009, J AGRIC EDUC EXT, V15, P81, DOI 10.1080/13892240802617445
   Klerkx L, 2009, TECHNOL FORECAST SOC, V76, P849, DOI 10.1016/j.techfore.2008.10.001
   Knierim A, 2017, J RURAL STUD, V55, P45, DOI 10.1016/j.jrurstud.2017.07.018
   Kuehne G, 2017, AGR SYST, V156, P115, DOI 10.1016/j.agsy.2017.06.007
   Lee SM, 2012, MANAGE DECIS, V50, P817, DOI 10.1108/00251741211227528
   Lemos MC, 2014, CLIM RISK MANAG, V4-5, P32, DOI 10.1016/j.crm.2014.08.001
   Lu JY, 2022, NAT SUSTAIN, V5, P254, DOI 10.1038/s41893-021-00825-0
   Malakar Y, 2024, NAT CLIM CHANGE, V14, DOI 10.1038/s41558-024-02021-2
   Malakar Y, 2024, CLIM SERV, V33, DOI 10.1016/j.cliser.2023.100442
   Maria K, 2021, AGR SYST, V186, DOI 10.1016/j.agsy.2020.102952
   Marshall A, 2020, J RURAL STUD, V80, P195, DOI 10.1016/j.jrurstud.2020.09.001
   Mcknight D. H., 2011, ACM Trans. Manag. Inf. Syst. TMIS, V2, DOI [10.1145/1985347.1985353, DOI 10.1145/1985347.1985353]
   Meyer M, 2010, SCI COMMUN, V32, P118, DOI 10.1177/1075547009359797
   Morriss S, 2006, AGR SYST, V89, P26, DOI 10.1016/j.agsy.2005.08.002
   Moss T, 2009, ENVIRON PLANN A, V41, P1480, DOI 10.1068/a4116
   Munguia OMD, 2021, AGR SYST, V191, DOI 10.1016/j.agsy.2021.103173
   Nettle R, 2018, J RURAL STUD, V58, P20, DOI 10.1016/j.jrurstud.2017.12.027
   Prokopy LS, 2017, CLIM RISK MANAG, V15, P1, DOI 10.1016/j.crm.2016.10.004
   Prokopy LS, 2013, WEATHER CLIM SOC, V5, P162, DOI 10.1175/WCAS-D-12-00036.1
   Putnam R.D., 1993, Making Democracy Work: Civic Traditions in Modern Italy
   Rijswijk K, 2019, NJAS-WAGEN J LIFE SC, V90-91, DOI 10.1016/j.njas.2019.100313
   Robertson M, 2016, REG ENVIRON CHANGE, V16, P189, DOI 10.1007/s10113-014-0743-4
   Sartas M, 2020, AGR SYST, V183, DOI 10.1016/j.agsy.2020.102874
   Schut M, 2020, AGR SYST, V184, DOI 10.1016/j.agsy.2020.102908
   Sligo FX, 2007, J RURAL STUD, V23, P170, DOI 10.1016/j.jrurstud.2006.06.001
   Snow S, 2024, AGR SYST, V217, DOI 10.1016/j.agsy.2024.103938
   Snow S, 2024, NJAS-IMP AGR LIFE SC, V96, DOI 10.1080/27685241.2023.2296652
   Srinivasan MS, 2019, AGR WATER MANAGE, V212, P181, DOI 10.1016/j.agwat.2018.08.045
   Stitzlein C, 2020, RURAL EXT INNOV SYST, V16, P14
   Stone R. C., 2006, Meteorological Applications, V13, P7, DOI 10.1017/S1350482706002519
   Sutherland LA, 2022, J AGRIC EDUC EXT, V28, P525, DOI 10.1080/1389224X.2022.2121903
   Sutherland LA, 2013, J ENVIRON MANAGE, V118, P96, DOI 10.1016/j.jenvman.2012.12.020
   Talukder M, 2011, J ORG COMP ELECT COM, V21, P111, DOI 10.1080/10919392.2011.564483
   Turner JA, 2016, NJAS-WAGEN J LIFE SC, V76, P99, DOI 10.1016/j.njas.2015.12.001
   Vanclay F. M., 1994, EUR J AGR ED EXT, V1, P59, DOI [DOI 10.1080/13892249485300061, 10.1080/13892249485300061]
   Webb L, 2023, AUST J GRAPE WINE R, V2023, DOI 10.1155/2023/5025359
   Webber S, 2019, CLIMATIC CHANGE, V157, P1, DOI 10.1007/s10584-019-02600-9
   Wigboldus S, 2016, AGRON SUSTAIN DEV, V36, DOI 10.1007/s13593-016-0380-z
   Woltering L, 2019, AGR SYST, V176, DOI 10.1016/j.agsy.2019.102652
   Yeo ML, 2024, FRONT SUSTAIN FOOD S, V8, DOI 10.3389/fsufs.2024.1456991
   Zuccaro G, 2020, INT J DISAST RISK RE, V51, DOI 10.1016/j.ijdrr.2020.101783
NR 95
TC 0
Z9 0
U1 1
U2 1
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 NOV 27
PY 2024
VL 8
AR 1455581
DI 10.3389/fsufs.2024.1455581
PG 14
WC Food Science & Technology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Food Science & Technology
GA O8A5K
UT WOS:001373289200001
OA gold
DA 2025-01-10
ER

PT J
AU Van Eerd, MCJ
   Wiering, MA
   Dieperink, C
AF Van Eerd, Marjolein C. J.
   Wiering, Mark A.
   Dieperink, Carel
TI Solidarity in transboundary flood risk management: A view from the Dutch
   North Rhine-Westphalian catchment area
SO CLIMATE POLICY
LA English
DT Article
DE climate adaptation; Dutch North Rhine-Westphalian border region; flood
   risk management; solidarity principle; transboundary governance
ID ADAPTATION; POLICY; IMPACT; NEED
AB Climate change is putting pressure on water systems, and its effects transcend man-made boundaries, making cooperation across territorial borders essential. The governance of transboundary flood risk management calls for solidarity among riparians, as climate change will make river basins more prone to flooding. 'Solidarity' means that individuals act to support members of a particular community to which they belong. Recently, the solidarity principle has become institutionalized due to its formalization in the EU Floods Directive. However, it is not clear what solidarity means in the upstream-downstream practices of transboundary flood risk management. Understanding the meaning of solidarity is important for the development of cross-border climate adaptation governance. This article discusses the conceptualization of the solidarity principle and explores its meaning for international cooperation in the Dutch North Rhine-Westphalian border region. Our critical case study reveals that although all actors understand the importance of solidarity, they interpret it differently, often based on self-interest related to their position in the catchment. The formal inclusion of the solidarity principle in the Floods Directive can best be seen as a step in the continuous development of transboundary flood risk governance, as no striking changes in practice have been identified after its formalization.
   Policy relevance
   As climate change increasingly puts pressure on river basins and other shared resources, cross-border cooperation and solidarity are seen as increasingly important. This article discusses the meaning of solidarity in practice and reveals how this normative principle may contribute to transboundary climate adaptation governance. Understanding its meaning is important for future cross-border climate adaptation governance.
C1 [Van Eerd, Marjolein C. J.; Wiering, Mark A.] Radboud Univ Nijmegen, Inst Management Res, POB 9108, NL-6500 HK Nijmegen, Netherlands.
   [Dieperink, Carel] Univ Utrecht, Copernicus Inst Sustainable Dev & Innovat, Postbus 80-115, NL-3508 TC Utrecht, Netherlands.
C3 Radboud University Nijmegen; Utrecht University
RP Van Eerd, MCJ (corresponding author), Radboud Univ Nijmegen, Inst Management Res, POB 9108, NL-6500 HK Nijmegen, Netherlands.
EM m.vaneerd@fm.ru.nl
RI Wiering, Mark/AAD-8358-2022; Dieperink, Carel/M-4458-2013
FU European Union [308364]
FX This article has been written within the framework of the Dutch National
   Research Programme Knowledge for Climate and within the STAR-FLOOD
   project (funded within the framework of the European Union's Seventh
   Programme for Research Technological Development and Demonstration under
   grant agreement no. 308364).
CR [Anonymous], BER VORL BEW NACH EG
   [Anonymous], OLITICAL MODERNISATI
   [Anonymous], ICPDR DAN CLIM AD WO
   [Anonymous], COMMUNICATION
   [Anonymous], THESIS
   [Anonymous], COMMUNICATION
   [Anonymous], NACHW WIRKS MASSN MI
   [Anonymous], WERK DELT DELT 2013
   [Anonymous], STAT INT COURT JUST
   [Anonymous], COMMUNICATION
   [Anonymous], WERKW RUIMT RIV
   [Anonymous], COMMUNICATION
   [Anonymous], COMMUNICATION
   [Anonymous], ANAL DISCOURSE TEXTU
   [Anonymous], REPORT EUROPEAN SCEN
   [Anonymous], COMMUNICATION 1018
   [Anonymous], RHIN ITS CATCHM OV
   [Anonymous], COMMUNICATION
   [Anonymous], WERK DELT BESL NED V
   [Anonymous], 1252014 KFC
   [Anonymous], GEM VERKL SAM GEB DU
   [Anonymous], COMMUNICATION
   [Anonymous], RISICO ANAL GRENSOVE
   [Anonymous], COMMUNICATION
   [Anonymous], BESCH VISM M 96 5
   [Anonymous], NAT ROR DAY
   [Anonymous], COMMUNICATION
   [Anonymous], COMMUNICATION
   [Anonymous], PLAN KERNB RUIMT RIV
   [Anonymous], COMMUNICATION
   [Anonymous], BESCH VISM M 2009 1
   [Anonymous], COMMUNICATION
   [Anonymous], REGIONAL ENV CHANGE
   [Anonymous], DELTAFACT RICHTLIJN
   [Anonymous], COMMUNICATION
   [Anonymous], HDB OVERSTROMINGSRIS
   [Anonymous], RHIN ACT PROGR 1986
   [Anonymous], COMMUNICATION
   [Anonymous], THESIS
   [Anonymous], 1998, WATER POLICY
   [Anonymous], E COMMUNICATION 0428
   [Anonymous], COMMUNICATION
   [Anonymous], COMMUNICATION
   [Anonymous], MIN REMM HOCHW RHEIN
   [Anonymous], GEM VERKL GEM ERKL
   [Anonymous], BOV MAATR
   [Anonymous], RUIMT RIV
   [Anonymous], MANY RIVERS CROSS CR
   [Anonymous], COMMUNICATION
   [Anonymous], RHIN 2020 PROGR SUST
   [Anonymous], REK RIV
   [Anonymous], COMMUNICATION
   [Anonymous], KEUZEN SOCIALE ZEKER
   [Anonymous], BELEID MAATSCHAPPIJ
   [Anonymous], COMMUNICATION
   [Anonymous], BEOORD TOETS VEIL 20
   [Anonymous], 1997, NAT RESOUR FORUM
   [Anonymous], OV KAART SPOORB MAK
   [Anonymous], MELBOURNE J INT LAW
   [Anonymous], 2013, Entrepreneurship 2020 action plan: Reigniting the entrepreneurial spirit in Europe
   [Anonymous], SOLIDARITY PRINCIPLE
   [Anonymous], NCR DAYS 2004 RES MA
   [Anonymous], COMMUNICATION
   [Anonymous], COMMUNICATION
   [Anonymous], RECHT KRITIEK
   Arts B., 2006, Public Organization Review, V6, P93
   Bayertz K., 1999, SOLIDARITY, DOI DOI 10.1007/978-94-015-9245-1_1
   Becker G, 2007, WATER SCI TECHNOL, V56, P125, DOI 10.2166/wst.2007.544
   Becker G, 2014, J FLOOD RISK MANAG, V7, P16, DOI 10.1111/jfr3.12025
   Bernauer T, 2002, AQUAT SCI, V64, P1, DOI 10.1007/s00027-002-8050-4
   Bernauer Thomas, 1996, J ENVIRON DEV, V5, P389
   Cook R, 2008, UTRECHT LAW REV, V4, P18, DOI 10.18352/ulr.82
   Dawson A, 2012, PUBLIC HEALTH ETH-UK, V5, P1, DOI 10.1093/phe/phs007
   de Sadeleer N., 2005, ENV PRINCIPLES POLIT
   Dieperink C, 2000, WATER INT, V25, P347, DOI 10.1080/02508060008686842
   Driessen PeterP. J., 2011, Climate Law, V2, P559, DOI [DOI 10.3233/CL-2011-051, 10.3233/CL-2011-051]
   Dukhovny VA, 2011, IRRIG DRAIN, V60, P569, DOI 10.1002/ird.604
   DWORKIN R, 1986, PHILOS LAW
   Eriksen SH, 2007, CLIM POLICY, V7, P337, DOI 10.1080/14693062.2007.9685660
   Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363
   Fulton DavidC., 1996, Human Dimensions of Wildlife, V1, P24, DOI [10.1080/10871209609359060, DOI 10.1080/10871209609359060]
   Glenk K, 2010, ECOL ECON, V69, P2279, DOI 10.1016/j.ecolecon.2010.06.022
   Goudriaan J., 2013, COMMUNICATION
   Hagemeier-Klose M, 2009, NAT HAZARD EARTH SYS, V9, P563, DOI 10.5194/nhess-9-563-2009
   Hajer M.A., 1996, The politics of environmental discourse
   Hammarström G, 2005, J AGING STUD, V19, P33, DOI 10.1016/j.jaging.2004.03.009
   Harbo TI, 2010, EUR LAW J, V16, P158, DOI 10.1111/j.1468-0386.2009.00502.x
   Hartmann T, 2016, J ENVIRON PLANN MAN, V59, P360, DOI 10.1080/09640568.2015.1012581
   Hormandinger G., 2010, EU FLOODS DIRECTIVE
   Jans Jan., 2008, European Environmental Law
   Jongman B, 2014, NAT CLIM CHANGE, V4, P264, DOI [10.1038/NCLIMATE2124, 10.1038/nclimate2124]
   Kabat Pavel., 2003, CLIMATE CHANGES WATE
   Knill C, 2005, JCMS-J COMMON MARK S, V43, P583, DOI 10.1111/j.0021-9886.2005.00570.x
   Knill C, 2002, EUR J POLIT RES, V41, P255, DOI 10.1111/1475-6765.00012
   Knill C., 2005, EUROPEAN ENV, V15, P114, DOI DOI 10.1002/EET.376
   Knill C., 1999, EUROPEAN INTEGRATION, V3, P7
   Komter A.E., 2005, SOCIAL SOLIDARITY GI
   Krysanova V, 2010, WATER RESOUR MANAG, V24, P4121, DOI 10.1007/s11269-010-9650-8
   Kuik O, 2008, CLIM POLICY, V8, P317, DOI 10.3763/cpol.2007.0333
   Lammersen R., 2004, Grensoverschrijdende effecten van extreem hoogwater op de Niederrhein
   Lee M., 2005, EU ENV LAW CHALLENGE
   Leroy P, 2006, ENVIRON POLICY, V47, P1, DOI 10.1007/1-4020-5079-8_1
   Liefferink D, 2006, ENVIRON POLICY, V47, P45, DOI 10.1007/1-4020-5079-8_3
   Lindemann S, 2008, GLOBAL ENVIRON POLIT, V8, P117, DOI 10.1162/glep.2008.8.4.117
   López-Santana M, 2006, J EUR PUBLIC POLICY, V13, P481, DOI 10.1080/13501760600693853
   Mostert E, 2015, ENVIRON SCI POLICY, V45, P123, DOI 10.1016/j.envsci.2014.10.008
   Mostert E, 2009, PHYS CHEM EARTH, V34, P142, DOI 10.1016/j.pce.2008.06.007
   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]
   Radaelli ClaudioM., 2004, European Integration online Papers (EIoP), V8, P1
   Rijksoverheid, 2010, PLAN AANP IMPL EU RI
   Schmid-Breton A., 2013, COMMUNICATION
   Van Eerd MCJ, 2014, UTRECHT LAW REV, V10, P91, DOI 10.18352/ulr.271
   van Eerd M, 2015, WATER POLICY, V17, P187, DOI 10.2166/wp.2014.025
   Van Oorschot W., 1998, Sociale Wetenschappen, V41, P5
   van Rijswick H.F. M. W., 2012, European and Dutch water law
   Wiering MA, 2006, HYDROBIOLOGIA, V565, P327, DOI 10.1007/s10750-005-5923-2
   Wiering M, 2006, ENVIRON POLICY, V47, P93, DOI 10.1007/1-4020-5079-8_5
   Yanow D., 2006, INTERPRETATION METHO
   Yanow D., 2012, Interpretive research design: Concepts and processes, P24
NR 119
TC 6
Z9 6
U1 2
U2 38
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
PY 2017
VL 17
IS 3
BP 261
EP 279
DI 10.1080/14693062.2015.1075376
PG 19
WC Environmental Studies; Public Administration
WE Social Science Citation Index (SSCI)
SC Environmental Sciences & Ecology; Public Administration
GA ES4FY
UT WOS:000399487800001
OA Green Published, Green Submitted
DA 2025-01-10
ER

EF